History of early life adversity is associated with increased food addiction and sex-specific alterations in reward network connectivity in obesity
Open accessAbstract
Summary: Background: Neuroimaging studies have identified obesity‐related differences in the brain's resting state activity. An imbalance between homeostatic and reward aspects of ingestive behaviour may contribute to obesity and food addiction. The interactions between early life adversity (ELA), the reward network and food addiction were investigated to identify obesity and sex‐related differences, which may drive obesity and food addiction. Methods: Functional resting state magnetic resonance imaging was acquired in 186 participants (high body mass index [BMI]: ≥25: 53 women and 54 men; normal BMI: 18.50–24.99: 49 women and 30 men). Participants completed questionnaires to assess ELA (Early Traumatic Inventory) and food addiction (Yale Food Addiction Scale). A tripartite network analysis based on graph theory was used to investigate the interaction between ELA, brain connectivity and food addiction. Interactions were determined by computing Spearman rank correlations, thresholded at q < 0.05 corrected for multiple comparisons. Results: Participants with high BMI demonstrate an association between ELA and food addiction, with reward regions playing a role in this interaction. Among women with high BMI, increased ELA was associated with increased centrality of reward and emotion regulation regions. Men with high BMI showed associations between ELA and food addiction with somatosensory regions playing a role in this interaction. Conclusions: The findings suggest that ELA may alter brain networks, leading to increased vulnerability for food addiction and obesity later in life. These alterations are sex specific and involve brain regions influenced by dopaminergic or serotonergic signalling.
AI snapshot
Written from the paper’s full text.
TL;DR
In 186 adults, high BMI was associated with an interaction between early life adversity (ELA), reward-network connectivity, and food addiction, with sex-specific patterns. Women with high BMI showed ELA-related increases in reward and emotion-regulation centrality, whereas men with high BMI showed ELA–food addiction associations involving somatosensory regions.
Key findings
- High BMI participants (n = 107; 54 men, 53 women) had higher ETI-SR general (p = 0.02), emotional (p = 0.0006), and total (p = 0.00007) scores than normal BMI participants (n = 79; 30 men, 49 women).
- A diagnostic YFAS score ≥3 was reported by 17.4% of high BMI participants versus 0% of normal BMI participants (p = 0.032); among high BMI participants, 8.0% of men versus 22.7% of women reported a diagnostic YFAS score (p = 0.188).
- In high BMI, ELA was indirectly associated with food addiction through VTA–SN centrality (ETI physical BC VTA–SN: r = −0.22, p = 0.02; BC VTA–SN–YFAS: r = 0.28, p = 0.02).
- Women with high BMI showed a positive YFAS–VTA–SN association (BC: r = 0.38, q = 0.04), while men with high BMI showed negative YFAS–VTA–SN associations (DS: r = −0.59, q = 0.009; EC: r = −0.52, q = 0.04); men also showed ELA–food addiction indirect effects through right thalamus (ETI sexual DS right thalamus: r = 0.37, q = 0.02; DS right thalamus–YFAS: r = −0.54, q = 0.01).
Methods
- Resting-state functional MRI and structural MRI were acquired in 186 right-handed participants aged 18–50; high BMI was defined as ≥25 and normal BMI as 18.50–24.99.
- Participants completed the Early Traumatic Inventory–Self Report (ETI-SR) for ELA and the Yale Food Addiction Scale (YFAS) for food addiction.
- A tripartite network analysis based on graph theory integrated ELA, food addiction, and functional brain-network centrality metrics; Spearman correlations were computed controlling for age and sex for between-group comparisons and for age for within-sex comparisons, with FDR correction at q < 0.05.
Limitations
- The paper states that the cross-sectional design prevents causal inference about whether brain changes, ELA, obesity, and food addiction drive one another; it also notes BMI is not an ideal obesity measure and suggests waist–hip ratio or visceral adiposity.
- The paper states that ETI-SR does not capture age at ELA and may be limited by recall accuracy, and that the original YFAS is based on DSM-IV rather than YFAS 2.0/DSM-5.
- The paper states that larger samples are needed for subgroup differences and mediation/moderation analyses, and that some trends may reflect limited sample size; it also notes no depression/anxiety assessments and that YFAS results should be interpreted in the context of continuous versus dichotomous scoring.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 113 cited sources checked · 0 supported · 0 flagged
- Findingown data
Among women with high BMI, increased ELA was associated with increased centrality of reward and emotion regulation regions.
“Among women with high BMI, increased ELA was associated with increased centrality of reward and emotion regulation regions.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Associations present in one group, which are missing in another, not only differentiate the groups but also indicate potential clues to the functionality of the system.
- Findingown data
In high BMI participants, physical ETI score was positively associated with left vlPFC betweenness centrality (r = 0.25144, q = 0.04457).
“Left vlPFC (InfFGOrp) | Executive control | Betweenness centrality | 0.25144 | 0.01041 | 0.04457 | 104”
Quote in the paperNot a substantial claim- The authors state this as an assumption: Associations present in one group, which are missing in another, not only differentiate the groups but also indicate potential clues to the functionality of the system.
- Findingown data
In the normal BMI group, ETI-SR total score was positively associated with centrality of executive control network regions (left dlPFC, bilateral OFG, bilateral mPFC).
“Only the normal BMI group showed numerous positive associations between ETI‐SR total score and centrality of brain regions in the executive control network: left dlPFC (EC: r = 0.30, q = 0.02), bilateral OFG (EC left: r = 0.34, q = 0.02; EC right: r = 0.37, q = 0.003) and bilateral mPFC (EC left: r = 0.26, q = 0.049; EC right: r = 0.39, q = 0.003).”
- Also stated in: § Discussion · plain
“Participants with normal BMI showed positive associations between ELA and centrality of executive control regions.”
Quote in the paperSubstantial claim - Also stated in: § Discussion · plain
- Findingown data
In the high BMI group, ETI-SR physical was positively associated with centrality of right putamen (somatosensory).
“In contrast, the high BMI group showed a positive association between ETI‐SR physical and centrality of a different region of the somatosensory network: right putamen (BC: r = 0.26, q = 0.02).”
Quote in the paperSubstantial claim - Findingown data
Men with high BMI showed associations between ELA and food addiction with somatosensory regions playing a role in this interaction.
“Men with high BMI showed associations between ELA and food addiction with somatosensory regions playing a role in this interaction.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Associations present in one group, which are missing in another, not only differentiate the groups but also indicate potential clues to the functionality of the system.
- Findingown data
In high BMI participants, physical ETI score was negatively associated with left aINS betweenness centrality (r = -0.24943, q = 0.04424).
“Left aINS (ALSHorp) | Salience | Betweenness centrality | −0.24943 | 0.01106 | 0.04424 | 104”
Quote in the paperSubstantial claim- The authors state this as an assumption: Associations present in one group, which are missing in another, not only differentiate the groups but also indicate potential clues to the functionality of the system.
- Findingown data
Both high BMI and normal BMI groups showed negative associations between ETI-SR physical and centrality of left aINS.
“Both groups showed negative associations between ETI‐SR physical and centrality of the left aINS (high BMI BC: r = −0.25, q = 0.04; normal BMI DS: r = −0.31, q = 0.03).”
Quote in the paperNot a substantial claim - Findingown data
In high BMI participants, physical ETI score was positively associated with left ACC betweenness centrality (r = 0.25437, q = 0.03807).
“Left ACC (ACgG_S) | Emotional regulation | Betweenness centrality | 0.25437 | 0.00952 | 0.03807 | 104”
Quote in the paperSubstantial claim- The authors state this as an assumption: Associations present in one group, which are missing in another, not only differentiate the groups but also indicate potential clues to the functionality of the system.
- Findingown data
Compared with normal BMI, high BMI showed negative associations between YFAS and centrality of bilateral thalamus.
“Compared with the normal BMI group, those with high BMI showed negative associations between YFAS and centrality of bilateral thalamus (DS right: r = −0.36, q = 0.006; DS left: r = −0.38, q = 0.003; and EC left: r = −0.27, q = 0.049).”
- Also stated in: § Discussion · plain
“In participants with high BMI, levels of food addiction were negatively associated with centrality of the thalamus (somatosensory network).”
Quote in the paperSubstantial claim - Also stated in: § Discussion · plain
- Findingown data
In high BMI participants, physical ETI score was negatively associated with left dlPFC betweenness centrality (r = -0.23944, q = 0.04457).
“Left dlPFC (InfFS) | Executive control | Betweenness centrality | −0.23944 | 0.01486 | 0.04457 | 104”
Quote in the paperSubstantial claim- The authors state this as an assumption: Associations present in one group, which are missing in another, not only differentiate the groups but also indicate potential clues to the functionality of the system.
- Findingown data
All participants with high BMI, regardless of sex, had higher levels of YFAS than participants with normal BMI (3.98 vs. 2.04, respectively).
“Similarly, all participants with high BMI, regardless of sex, had higher levels of YFAS than participants with normal BMI (3.98 vs. 2.04, respectively).”
Quote in the paperNot a substantial claim - Findingown data
A total of 17.4% of participants with high BMI reported a diagnostic (≥3) YFAS score, compared with 0% of participants with normal BMI (p = 0.032).
“A total of 17.4% of participants with high BMI reported a diagnostic (≥3) YFAS score, compared with 0% of participants with normal BMI (p = 0.032).”
Quote in the paperSubstantial claim - Findingown data
In the normal BMI group, ETI-SR total was negatively associated with centrality of left thalamus (somatosensory).
“The normal BMI group also showed a negative association between ETI‐SR total and centrality of a somatosensory region: left thalamus (BC: r = −0.28, q = 0.03).”
Quote in the paperNot a substantial claim - Findingown data
In the high BMI group, no significant associations were found between ETI-SR and centrality of executive control regions.
“No significant associations were found in the high BMI group with centrality of executive control regions.”
Quote in the paperSubstantial claim - Findingown data
In high BMI participants, total ETI score was positively associated with left ACC betweenness centrality (r = 0.25688, q = 0.03661).
“Left ACC (ACgG_S) | Emotional regulation | Betweenness centrality | 0.25688 | 0.00915 | 0.03661 | 103”
Quote in the paperSubstantial claim- The authors state this as an assumption: Associations present in one group, which are missing in another, not only differentiate the groups but also indicate potential clues to the functionality of the system.
- Findingown data
Men with high BMI showed an indirect association between ELA and food addiction through centrality of right thalamus and left thalamus.
“Men showed an indirect association between ELA and food addiction through centrality of right thalamus (ETI‐SR sexual DS right thalamus: r = 0.37, q = 0.02; DS right thalamus YFAS: r = −0.54, q = 0.01) and left thalamus (ETI‐SR sexual DS left thalamus: r = 0.31, p = 0.03; DS left thalamus YFAS: r = −0.58, q = 0.006).”
Quote in the paperSubstantial claim - Findingown data
Both men and women with high BMI showed negative associations between YFAS and centrality of somatosensory regions (left thalamus, right thalamus, right putamen).
“Both men and women showed negative association between YFAS and centrality of somatosensory regions: left thalamus (women BC: r = −0.39, q = 0.02; men EC: r = −0.50, q = 0.02; and men left DS: r = −0.58, q = 0.006), right thalamus (men DS: r = −0.54, q = 0.01) and right putamen (men DS: r = −0.44, q = 0.03).”
Quote in the paperNot a substantial claim - Findingown data
In the high BMI group, there was an indirect association between ELA and food addiction scores through centrality of VTA-SN.
“The high BMI group showed an indirect association between ELA and food addiction scores through centrality of VTA–SN (ETI‐SR physical BC VTA–SN: r = −0.22, p = 0.02; BC VTA–SN‐YFAS: r = 0.28, p = 0.02).”
- Also stated in: § Discussion · plain
“In participants with high BMI, ELA (physical) scores showed increased associations with food addiction through increased centrality of reward regions (VTA–SN, an important hub of dopaminergic signalling 102).”
Quote in the paperSubstantial claim - Also stated in: § Discussion · plain
- Findingown data
In the normal BMI group, there were indirect associations between multiple ELA indices and food addiction through centrality of right mPFC and right OFG.
“The normal BMI group showed numerous indirect associations between numerous indices of ELA with food addiction through centrality of right mPFC (ETI‐SR total EC mPFC: r = 0.39, q = 0.003; ETI‐SR emotional EC mPFC: r = 0.33, q = 0.02; ETI‐SR physical EC mPFC: r = 0.26, p = 0.02; ETI‐SR general EC mPFC: r = 0.28, p = 0.01; and EC mPFC‐YFAS: r = −0.43, p = 0.04) and right OFG (ETI‐SR total EC OFG: r”
- Also stated in: § Discussion · plain
“In individuals with normal BMI, higher levels of all ELA subscores were associated with lower food addiction through increased centrality of the executive control regions (OFG and mPFC).”
Quote in the paperSubstantial claim - Also stated in: § Discussion · plain
- Findingown data
In the normal BMI group, there was a direct negative association between ETI-SR general trauma score and food addiction.
“This group also showed a direct negative association between ETI‐SR general trauma score and food addiction (r = −0.44, p = 0.03).”
Quote in the paperNot a substantial claim - Findingown data
Both men and women with high BMI showed positive associations between ETI-SR and centrality of reward regions (right caudate and right nucleus accumbens).
“Both men and women with high BMI showed positive associations between ETI‐SR and centrality of reward regions: right caudate (men | ETI‐SR total: EC r = 0.36, q = 0.03; women | ETI‐SR general: EC: r = 0.28, q = 0.04) and right nucleus accumbens (women | ETI‐SR emotional: EC: r = 0.28, q = 0.02; women| ETI‐SR general: EC: r = 0.34, q = 0.04).”
Quote in the paperSubstantial claim - Findingown data
Both men and women with high BMI showed positive associations between ETI-SR and centrality of somatosensory regions (right thalamus and bilateral putamen).
“Both groups also showed positive associations between ETI‐SR and centrality of somatosensory regions: right thalamus (men|ETI‐SR sexual: DS: r = 0.37, q = 0.02) and bilateral putamen (women| ETI‐SR physical: DS left: r = 0.35, q = 0.02; DS right: r = 0.33, q = 0.04).”
Quote in the paperNot a substantial claim - Findingown data
Only men with high BMI showed a negative association between ETI-SR physical and centrality of left vlPFC (executive control).
“Only the men with high BMI showed a negative association between ETI‐SR physical and centrality of an executive control region: left vlPFC (EC: r = −0.37, q = 0.04), while no significant associations were found in the women with high BMI with centrality of executive control regions.”
Quote in the paperSubstantial claim - Findingown data
Only male participants showed a positive association between YFAS and centrality of left hippocampus and bilateral anterior mid-cingulate cortex.
“Only male participants showed a positive association between YFAS and centrality of emotional regulation and salience regions: left hippocampus (BC: r = 0.68, q = 0.0009) and bilateral anterior mid‐cingulate cortex (left DS: r = −0.53, q = 0.03; right DS: r = −0.61, q = 0.006).”
Quote in the paperSubstantial claim - Findingown data
In women with high BMI, food addiction is negatively associated with centrality of the executive control network (vlPFC).
“the network of women with high BMI revealed a negative association between food addiction and centrality of the executive control network (vlPFC)”
Quote in the paperSubstantial claim - Findingown data
In women with high BMI, higher food addiction scores are associated with greater centrality in the core reward regions.
“In women with high BMI, higher food addiction scores were associated with greater centrality in the core reward regions”
Quote in the paperSubstantial claim - Findingown data
In men with high BMI, higher food addiction scores are associated with decreased centrality of core reward and salience regions.
“in men with high BMI, higher food addiction scores were associated with decreased centrality of core reward and salience regions.”
Quote in the paperSubstantial claim - Findingown data
In men with high BMI, food addiction is positively associated with centrality of the executive control network (OFG and vlPFC).
“in the network of men with high BMI, this association was positive (OFG and vlPFC).”
Quote in the paperSubstantial claim - Findingown data
In men with high BMI, ELA is associated with food addiction through centrality in somatosensory (thalamus) regions.
“This is consistent with the study results, which show an association between ELA (sex) and food addiction through centrality in somatosensory (thalamus) regions only in men with high BMI.”
- Also stated in: § Discussion · plain
“In contrast, men with high BMI showed associations with ELA and centrality of somatosensory regions and food addiction.”
Quote in the paperSubstantial claim - Also stated in: § Discussion · plain
- Findingown data
When treating YFAS as a dichotomous variable using the accepted threshold of ≥3, YFAS was associated with having a higher BMI.
“When treating YFAS as a dichotomous variable (using the accepted threshold of ≥3), YFAS was associated with having a higher BMI”
Quote in the paperNot a substantial claim - Findingown data
Participants with normal BMI showed higher positive associations between ELA and centrality of executive control regions.
“In contrast, participants with normal BMI showed higher positive associations between ELA and centrality of executive control regions.”
Quote in the paperSubstantial claim - Findingnone given
Participants with high BMI showed higher positive associations between ELA and centrality of emotional regulation regions and food addiction scores.
“Participants with high BMI showed higher positive associations between ELA and centrality of emotional regulation regions and food addiction scores.”
Quote in the paperSubstantial claim - Findingown data
No statistically significant differences in YFAS scores by BMI status emerged when treating YFAS as a continuous variable.
“no statistically significant differences in YFAS scores by BMI status emerged when treating YFAS as a continuous variable”
Quote in the paperNot a substantial claim - Findingown data
ELA-brain interactions differed substantially by sex.
“These ELA–brain interactions differed substantially by sex, contributing to a more nuanced understanding of the forces driving the pathophysiology of obesity and food addiction.”
Quote in the paperSubstantial claim - Premisecitation
Severely obese adults undergoing gastric bypass surgery had prevalence rates of childhood abuse as high as 76% even after accounting for factors such as stigma, shame and guilt associated with underreporting.
“Another study found that severely obese adults undergoing gastric bypass surgery had prevalence rates of childhood abuse as high as 76% even after accounting for factors such as stigma, shame and guilt associated with underreporting 6.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [6] Grilo CM, Masheb RM, Brody M, Toth C, Burke‐Martindale CH, Rothschild BS. Childhood maltreatment in extremely obese male and female bariatric surgery candidates. Obes Res 2005 Jan; 13: 123– 130. 15761171 source
Not checked in the free run.
- Premisecitation
A background of ELA may potentiate food addiction behaviours in some individuals, especially within the context of an environment rich in highly processed, calorie dense and extremely palatable food.
“A background of ELA may potentiate food addiction behaviours in some individuals, especially within the context of an environment rich in highly processed, calorie dense and extremely palatable food 4, 21, 22.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [4] Hemmingsson E. Early childhood obesity risk factors: socioeconomic adversity, family dysfunction, offspring distress, and junk food self‐medication. Curr Obes Rep 2018 Jun; 7: 204– 209. 29704182 PMC5958160 source
Not checked in the free run.
- cites [21] Leigh SJ, Lee F, Morris MJ. Hyperpalatability and the generation of obesity: roles of environment, stress exposure and individual difference. Curr Obes Rep 2018 Mar; 7: 6– 18. 29435959 source
Not checked in the free run.
- cites [22] Cottone P, Sabino V, Roberto M, et al. CRF system recruitment mediates dark side of compulsive eating. Proc Natl Acad Sci U S A 2009 Nov 24; 106: 20016– 20020. 19901333 PMC2785284 source
Not checked in the free run.
- Premisecitation
For some individuals, a history of early life adversity (ELA), including physical and emotional abuse, trauma, neglect and family discord, can increase the risk of developing obesity in adulthood through mechanisms associated with stress, inflammation, emotional perturbations, maladaptive coping, metabolic disturbances and food addiction.
“For some individuals, a history of early life adversity (ELA), including physical and emotional abuse, trauma, neglect and family discord, can increase the risk of developing obesity in adulthood through mechanisms associated with stress, inflammation, emotional perturbations, maladaptive coping, metabolic disturbances and food addiction 3, 4.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [3] Farr OM, Ko BJ, Joung KE, et al. Posttraumatic stress disorder, alone or additively with early life adversity, is associated with obesity and cardiometabolic risk. Nutr Metab Cardiovasc Dis 2015 May; 25: 479– 488. 25770759 PMC4404181 source
Not checked in the free run.
- cites [4] Hemmingsson E. Early childhood obesity risk factors: socioeconomic adversity, family dysfunction, offspring distress, and junk food self‐medication. Curr Obes Rep 2018 Jun; 7: 204– 209. 29704182 PMC5958160 source
Not checked in the free run.
- Premisecitation
Sex‐specific brain alterations have also been reported in obesity and ELA studies.
“sex‐specific brain alterations have also been reported in obesity and ELA studies 11, 51, 52, 53, 54, 55, 56, 57.”
Quote in the paperSubstantial claim0 of 8 sources checked- cites [11] Gupta A, Mayer EA, Acosta JR, et al. Early adverse life events are associated with altered brain network architecture in a sex‐dependent manner. Neurobiol Stress 2017 Dec; 7: 16– 26. 28239631 PMC5318542 source
Not checked in the free run.
- cites [51] Haase L, Green E, Murphy C. Males and females show differential brain activation to taste when hungry and sated in gustatory and reward areas. Appetite 2011 Oct; 57: 421– 434. 21718731 PMC3516392 source
Not checked in the free run.
- cites [52] Cornier MA, Salzberg AK, Endly DC, Bessesen DH, Tregellas JR. Sex‐based differences in the behavioral and neuronal responses to food. Physiol Behav 2010 Mar 30; 99: 538– 543. 20096712 PMC2826550 source
Not checked in the free run.
- cites [53] Geliebter A, Pantazatos SP, McOuatt H, Puma L, Gibson CD, Atalayer D. Sex‐based fMRI differences in obese humans in response to high vs. low energy food cues. Behav Brain Res 2013 Apr 15; 243: 91– 96. 23261871 PMC3593799 source
Not checked in the free run.
- cites [54] Ruigrok AN, Salimi‐Khorshidi G, Lai MC, et al. A meta‐analysis of sex differences in human brain structure. Neurosci Biobehav Rev 2014 Feb; 39: 34– 50. 24374381 PMC3969295 source
Not checked in the free run.
- cites [55] Cosgrove KP, Mazure CM, Staley JK. Evolving knowledge of sex differences in brain structure, function, and chemistry. Biol Psychiatry 2007 Oct 15; 62: 847– 855. 17544382 PMC2711771 source
Not checked in the free run.
- cites [56] Gupta A, Mayer EA, Hamadani K, et al. Sex differences in the influence of body mass index on anatomical architecture of brain networks. Int J Obes (Lond) 2017 Aug; 41: 1185– 1195. 28360430 PMC5548596 source
Not checked in the free run.
- cites [57] Gupta A, Mayer EA, Labus JS, et al. Sex commonalities and differences in obesity‐related alterations in intrinsic brain activity and connectivity. Obesity (Silver Spring) 2018 Feb; 26: 340– 350. 29280306 PMC5783781 source
Not checked in the free run.
- Premisecitation
A history of ELA contributes to an imbalance in these CNS networks.
“A history of ELA contributes to an imbalance in these CNS networks 4.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [4] Hemmingsson E. Early childhood obesity risk factors: socioeconomic adversity, family dysfunction, offspring distress, and junk food self‐medication. Curr Obes Rep 2018 Jun; 7: 204– 209. 29704182 PMC5958160 source
Not checked in the free run.
- Premisecitation
Overindulgence of foods rich in fat and sugar has been shown to reduce CNS reward thresholds, resulting in a drive for higher intake of such palatable foods to achieve similar levels of satisfaction.
“Overindulgence of foods rich in fat and sugar has been shown to reduce CNS reward thresholds, resulting in a drive for higher intake of such palatable foods to achieve similar levels of satisfaction 22.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [22] Cottone P, Sabino V, Roberto M, et al. CRF system recruitment mediates dark side of compulsive eating. Proc Natl Acad Sci U S A 2009 Nov 24; 106: 20016– 20020. 19901333 PMC2785284 source
Not checked in the free run.
- Study design and conductcitation
Spatial normalization to the Montreal Neurological Institute template using the structural scans is adequate for reliable functional connectivity estimates.
“Data were then spatially normalized to the Montreal Neurological Institute template using the structural scans; previous studies suggest that this is adequate for reliable functional connectivity estimates 66, 67, 68.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [66] Birn RM, Molloy EK, Patriat R, et al. The effect of scan length on the reliability of resting‐state fMRI connectivity estimates. Neuroimage 2013 Dec; 83: 550– 558. 23747458 PMC4104183 source
Not checked in the free run.
- cites [67] van Dijk KR, Hedden T, Venkataraman A, Evans KC, Lazar SW, Buckner RL. Intrinsic functional connectivity as a tool for human connectomics: theory, properties, and optimization. J Neurophysiol 2010 Jan; 103: 297– 321. 19889849 PMC2807224 source
Not checked in the free run.
- cites [68] Gonzalez‐Castillo J, Handwerker DA, Robinson ME, et al. The spatial structure of resting state connectivity stability on the scale of minutes. Front Neurosci 2014; 8: 138. 24999315 PMC4052097 source
Not checked in the free run.
- Interpretationown data
ELA may alter brain networks, leading to increased vulnerability for food addiction and obesity later in life.
“The findings suggest that ELA may alter brain networks, leading to increased vulnerability for food addiction and obesity later in life.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Associations present in one group, which are missing in another, not only differentiate the groups but also indicate potential clues to the functionality of the system.
- Interpretationown data
The study hypotheses were only partially supported as the positive association between ELA and centrality in reward regions in participants with high BMI did not survive correction for multiple comparisons.
“The study hypotheses, though, were only partially supported as the positive association between ELA and centrality in reward regions in participants with high BMI did not survive correction for multiple comparisons.”
Quote in the paperSubstantial claim - Interpretationown data
Men with high BMI showed associations of ELA with food addiction through centrality of somatosensory regions.
“Men with high BMI showed associations of ELA with food addiction through centrality of somatosensory regions.”
Quote in the paperSubstantial claim - Interpretationcitation
The sex differences in food addiction-related centrality are consistent with previous work describing increased post-prandial activations in reward regions in women and somatosensory regions in men.
“These differences are consistent with previous work describing increased post‐prandial activations in reward regions in women and somatosensory regions in men 53, 56, 57, 98, 106, 107, 108, 109.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [53] Geliebter A, Pantazatos SP, McOuatt H, Puma L, Gibson CD, Atalayer D. Sex‐based fMRI differences in obese humans in response to high vs. low energy food cues. Behav Brain Res 2013 Apr 15; 243: 91– 96. 23261871 PMC3593799 source
Not checked in the free run.
- cites [56] Gupta A, Mayer EA, Hamadani K, et al. Sex differences in the influence of body mass index on anatomical architecture of brain networks. Int J Obes (Lond) 2017 Aug; 41: 1185– 1195. 28360430 PMC5548596 source
Not checked in the free run.
- cites [57] Gupta A, Mayer EA, Labus JS, et al. Sex commonalities and differences in obesity‐related alterations in intrinsic brain activity and connectivity. Obesity (Silver Spring) 2018 Feb; 26: 340– 350. 29280306 PMC5783781 source
Not checked in the free run.
- Interpretationreasoning
In women with high BMI, greater engagement of reward regulation networks combined with reduced engagement of executive control regions may increase susceptibility to cravings for certain foods, especially sugar.
“In women with high BMI, greater engagement of reward regulation networks, combined with reduced engagement of executive control regions, may increase susceptibility to cravings for certain foods, especially sugar 53, 108, 109, 110.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [53] Geliebter A, Pantazatos SP, McOuatt H, Puma L, Gibson CD, Atalayer D. Sex‐based fMRI differences in obese humans in response to high vs. low energy food cues. Behav Brain Res 2013 Apr 15; 243: 91– 96. 23261871 PMC3593799 source
Not checked in the free run.
- cites [108] Connolly L, Coveleskie K, Kilpatrick LA, et al. Differences in brain responses between lean and obese women to a sweetened drink. Neurogastroenterol Motil 2013 Jul; 25: 579– e460. 23566308 PMC4114731 source
Not checked in the free run.
- cites [109] Kilpatrick LA, Coveleskie K, Connolly L, et al. Influence of sucrose ingestion on brainstem and hypothalamic intrinsic oscillations in lean and obese women. Gastroenterology 2014 May; 146: 1212– 1221. 24480616 PMC4113508 source
Not checked in the free run.
- Interpretationcitation
These study results are consistent with previous studies that demonstrated decreased functional activation and anatomical connectivity of somatosensory regions in obesity.
“These study results are consistent with previous studies, which have demonstrated decreased functional activation and anatomical connectivity of somatosensory regions in obesity 40, 41, 53, 56, 57, 98, 99.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [40] Volkow ND, Wang GJ, Tomasi D, Baler RD. Obesity and addiction: neurobiological overlaps. Obes Rev 2013 Jan; 14: 2– 18. 23016694 PMC4827343 source
Not checked in the free run.
- cites [41] Gupta A, Mayer EA, Sanmiguel CP, et al. Patterns of brain structural connectivity differentiate normal weight from overweight subjects. Neuroimage Clin 2015; 7: 506– 517. 25737959 PMC4338207 source
Not checked in the free run.
- cites [53] Geliebter A, Pantazatos SP, McOuatt H, Puma L, Gibson CD, Atalayer D. Sex‐based fMRI differences in obese humans in response to high vs. low energy food cues. Behav Brain Res 2013 Apr 15; 243: 91– 96. 23261871 PMC3593799 source
Not checked in the free run.
- Interpretationown data
The study results provide evidence that ELA may increase food addiction through increased centrality of core reward regions.
“The study results demonstrate evidence that ELA may increase food addiction through increased centrality of core reward regions.”
Quote in the paperSubstantial claim - Interpretationcitation
The finding that men with high BMI differ from women in processing and modulation of rewarding food stimuli may be attributed to oestrogen's ability to modulate dopaminergic and serotonergic signalling.
“The findings reported here, which suggest that men with high BMI differ from their female counterparts in the processing and modulation of rewarding food stimuli, may be attributed to the ability of oestrogen to modulate dopaminergic and serotonergic signalling 40, 111.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [40] Volkow ND, Wang GJ, Tomasi D, Baler RD. Obesity and addiction: neurobiological overlaps. Obes Rev 2013 Jan; 14: 2– 18. 23016694 PMC4827343 source
Not checked in the free run.
- cites [111] Rapuano KM, Huckins JF, Sargent JD, Heatherton TF, Kelley WM. Individual differences in reward and somatosensory‐motor brain regions correlate with adiposity in adolescents. Cereb Cortex 2016 Jun; 26: 2602– 2611. 25994961 PMC4869807 source
Not checked in the free run.
- Premisecitation
Disruptions to these regions in women have been shown to result in hyperphagia.
“Furtheremore, disruptions to these regions in women have been shown to result in hyperphagia 53, 107, 108.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [53] Geliebter A, Pantazatos SP, McOuatt H, Puma L, Gibson CD, Atalayer D. Sex‐based fMRI differences in obese humans in response to high vs. low energy food cues. Behav Brain Res 2013 Apr 15; 243: 91– 96. 23261871 PMC3593799 source
Not checked in the free run.
- cites [107] Stice E, Burger KS, Yokum S. Relative ability of fat and sugar tastes to activate reward, gustatory, and somatosensory regions. Am J Clin Nutr 2013 Dec; 98: 1377– 1384. 24132980 PMC3831532 source
Not checked in the free run.
- cites [108] Connolly L, Coveleskie K, Kilpatrick LA, et al. Differences in brain responses between lean and obese women to a sweetened drink. Neurogastroenterol Motil 2013 Jul; 25: 579– e460. 23566308 PMC4114731 source
Not checked in the free run.
- Study design and conductreasoning
It is not possible to discern whether differences in brain circuitry influenced by ELA contribute to food addiction or if food addiction behaviours contribute to the observed brain differences.
“Another limitation of the cross‐sectional nature of this study is that it is not possible to discern whether the differences in brain circuitry, which are influenced by ELA, contribute to food addiction or if the food addiction behaviours themselves contribute to the observed differences in the brain.”
Quote in the paperSubstantial claim - Premisecitation
17-Beta-estradiol directly potentiates dopamine release in the rat nucleus accumbens.
“17‐Beta‐estradiol has been shown to directly potentiate dopamine release in the rat nucleus accumbens 112.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [112] Thompson TL, Moss RL. Estrogen regulation of dopamine release in the nucleus accumbens: genomic‐ and nongenomic‐mediated effects. J Neurochem 1994 May; 62: 1750– 1756. 8158125 source
Not checked in the free run.
- Interpretationcitation
The brain-level findings are consistent with epidemiological studies showing sex-related differences in food addiction related to the types of foods craved and the intensity and frequency of cravings.
“These findings at the brain level are consistent with epidemiological studies that show sex‐related differences in food addiction related to the types of foods craved and the intensity and frequency of the cravings 31, 32.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [31] Hallam J, Boswell RG, DeVito EE, Kober H. Gender‐related differences in food craving and obesity. Yale J Biol Med 2016 Jun; 89: 161– 173. 27354843 PMC4918881
Not checked in the free run.
- cites [32] Park S, Shin WS. Differences in eating behaviors and masticatory performances by gender and obesity status. Physiol Behav 2015 Jan; 138: 69– 74. 25447481 source
Not checked in the free run.
- The quote only partly states this claim. 2
- Classified as probably not a substantial claim. 45
- May combine two claims. 38
The quote only partly states this claim.
Findingown dataIn high BMI participants, physical ETI score was positively associated with right putamen betweenness centrality (r = 0.25644, q = 0.01786).
“Right putamen | Somatosensory | Betweenness centrality | 0.25644 | 0.00893 | 0.01786 | 104”
Quote in the paperSubstantial claim- The authors state this as an assumption: Associations present in one group, which are missing in another, not only differentiate the groups but also indicate potential clues to the functionality of the system.
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataA total of 8.0% of men with high BMI reported a diagnostic YFAS score, compared with 22.7% of women with high BMI (p = 0.188).
“A total of 8.0% of men with high BMI reported a diagnostic YFAS score, compared with 22.7% of women with high BMI (p = 0.188).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataParticipants with high BMI demonstrate an association between ELA and food addiction, with reward regions playing a role in this interaction.
“Participants with high BMI demonstrate an association between ELA and food addiction, with reward regions playing a role in this interaction.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Associations present in one group, which are missing in another, not only differentiate the groups but also indicate potential clues to the functionality of the system.
May combine two claims.
Findingown dataParticipants with high BMI reported higher scores on ETI‐SR general (p = 0.02), emotional (p = 0.0006) and total (p = 0.00007).
“Participants with high BMI reported higher scores on ETI‐SR general (p = 0.02), emotional (p = 0.0006) and total (p = 0.00007).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataAlthough there were no significant differences in YFAS scores among the groups, men and women with high BMI, on average, showed higher scores than men and women with normal BMI (4.00 and 3.98 vs. 1.70 and 2.29, respectively).
“Although there were no significant differences in YFAS scores among the groups, men and women with high BMI, on average, showed higher scores than men and women with normal BMI (4.00 and 3.98 vs. 1.70 and 2.29, respectively).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThere were no significant differences in subjective socio‐economic status among any of the groups.
“There were no significant differences in subjective socio‐economic status among any of the groups.”
Quote in the paperNot a substantial claimThe quote only partly states this claim.
Findingown dataBoth men and women with high BMI showed positive associations between ETI-SR and centrality of emotion regulation regions (bilateral ACC, left subgenual ACC, left amygdala).
“Similarly, both groups also showed positive associations between ETI‐SR and centrality of emotion regulation regions: bilateral ACC (women | ETI‐SR emotional: EC left: r = 0.29, q = 0.04; EC right: r = 0.31, q = 0.03), left subgenual ACC (women | ETI‐SR emotional: EC: r = 0.30, q = 0.04) and left amygdala (men | ETI‐SR general: BC: r = 0.34, q = 0.049).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataWomen with high BMI showed a negative association between YFAS and centrality of left vlPFC, while men with high BMI showed positive associations between YFAS and centrality of left vlPFC and left OFG.
“Women showed a negative association between YFAS and centrality of left vlPFC (BC: r = −0.31, q = 0.03). In contrast, men group showed positive associations between YFAS and centrality of the same executive control region (BC: r = 0.51, q = 0.04) and left OFG (BC: r = 0.49, q = 0.04).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataWomen with high BMI showed a positive association between YFAS and centrality of VTA-SN, while men with high BMI showed negative associations between YFAS and centrality of VTA-SN.
“Women showed a positive association between YFAS and centrality of VTA–SN (BC: r = 0.38, q = 0.04), while men showed negative associations between YFAS and centrality of the same reward region (DS: r = −0.59, q = 0.009; EC: r = −0.52, q = 0.04).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataWomen with high BMI showed positive associations with ELA and centrality of reward and emotional regulation regions and with food addiction.
“Women with high BMI showed positive associations with ELA and centrality of reward and emotional regulation regions and with food addiction.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationA history of ELA can have a sustained impact on the integrity and function of the brain, with brain regions associated with emotional regulation, cognitive modulation and feeding behaviours frequently implicated.
“Evidence from neuroimaging studies suggests that a history of ELA can have a sustained impact on the integrity and function of the brain 9, 10, 11, 12, with brain regions associated with emotional regulation, cognitive modulation and feeding behaviours frequently implicated 12, 13, 14, 15, 16.”
Quote in the paperSubstantial claim0 of 8 sources checked- cites [9] Saleh A, Potter GG, McQuoid DR, et al. Effects of early life stress on depression, cognitive performance and brain morphology. Psychol Med 2017 Jan; 47: 171– 181. 27682320 PMC5195852 source
Not checked in the free run.
- cites [10] Cohen RA, Grieve S, Hoth KF, et al. Early life stress and morphometry of the adult anterior cingulate cortex and caudate nuclei. Biol Psychiatry 2006 May 15; 59: 975– 982. 16616722 source
Not checked in the free run.
- cites [11] Gupta A, Mayer EA, Acosta JR, et al. Early adverse life events are associated with altered brain network architecture in a sex‐dependent manner. Neurobiol Stress 2017 Dec; 7: 16– 26. 28239631 PMC5318542 source
Not checked in the free run.
- cites [12] Heany SJ, Groenewold NA, Uhlmann A, Dalvie S, Stein DJ, Brooks SJ. The neural correlates of Childhood Trauma Questionnaire scores in adults: a meta‐analysis and review of functional magnetic resonance imaging studies. Dev Psychopathol 2017 Dec; 11: 1– 11. 29224580
Not checked in the free run.
- cites [13] Marusak HA, Thomason ME, Peters C, Zundel C, Elrahal F, Rabinak CA. You say ‘prefrontal cortex’ and I say ‘anterior cingulate’: meta‐analysis of spatial overlap in amygdala‐to‐prefrontal connectivity and internalizing symptomology. Transl Psychiatry 2016 Nov 8; 6: e944. 27824358 PMC5314129 source
Not checked in the free run.
- cites [14] Calem M, Bromis K, McGuire P, Morgan C, Kempton MJ. Meta‐analysis of associations between childhood adversity and hippocampus and amygdala volume in non‐clinical and general population samples. Neuroimage Clin 2017; 14: 471– 479. 28275547 PMC5331153 source
Not checked in the free run.
- cites [15] Berens AE, Jensen SKG, Nelson CA 3rd. Biological embedding of childhood adversity: from physiological mechanisms to clinical implications. BMC Med 2017 Jul 20; 15: 135. 28724431 PMC5518144 source
Not checked in the free run.
- cites [16] Teicher MH, Anderson CM, Ohashi K, Polcari A. Childhood maltreatment: altered network centrality of cingulate, precuneus, temporal pole and insula. Biol Psychiatry 2014 Aug 15; 76: 297– 305. 24209775 PMC4258110 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSalience and emotion regulation brain networks are especially susceptible to topological restructuring associated with ELAs.
“Furthermore, salience and emotion regulation brain networks are especially susceptible to topological restructuring associated with ELAs 11.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [11] Gupta A, Mayer EA, Acosta JR, et al. Early adverse life events are associated with altered brain network architecture in a sex‐dependent manner. Neurobiol Stress 2017 Dec; 7: 16– 26. 28239631 PMC5318542 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAll but two of 63 participants who underwent bariatric surgery reported a history of adverse childhood experience.
“An additional study found that all but two of 63 participants who underwent bariatric surgery reported a history of adverse childhood experience 7.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [7] Fink K, Ross CA. Adverse childhood experiences in a post‐bariatric surgery psychiatric inpatient sample. Obes Surg 2017 Dec; 27: 3253– 3257. 28593483 source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationEarly life adversity experiences can become biologically embedded and lead to cognitive, emotional, somatic and behavioural problems in adulthood.
“Early life adversity experiences can become biologically embedded and lead to cognitive, emotional, somatic and behavioural problems in adulthood 8.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [8] Thomason ME, Marusak HA. Toward understanding the impact of trauma on the early developing human brain. Neuroscience 2017 Feb 7; 342: 55– 67. 26892294 PMC4985495 source
Not checked in the free run.
May combine two claims.
PremisecitationA history of childhood abuse (physical, emotional, sexual or general) is significantly associated with greater odds of adulthood obesity, and the odds of obesity increased depending on the severity and number of types of abuse.
“As highlighted by a recent meta‐analysis, a history of childhood abuse (physical, emotional, sexual or general) is significantly associated with greater odds of adulthood obesity, and the odds of obesity increased depending on the severity and number of types of abuse 5.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [5] Hemmingsson E, Johansson K, Reynisdottir S. Effects of childhood abuse on adult obesity: a systematic review and meta‐analysis. Obes Rev 2014 Nov; 15: 882– 893. 25123205 source
Not checked in the free run.
May combine two claims.
PremisecitationWomen with obesity report higher food addiction behaviours, cravings, comorbidity and reward sensitivity than men with obesity.
“For example, women with obesity report higher food addiction behaviours, cravings, comorbidity and reward sensitivity than men with obesity 33, 34, 35.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [33] Loxton NJ, Tipman RJ. Reward sensitivity and food addiction in women. Appetite 2017 Aug 1; 115: 28– 35. 27756640 source
Not checked in the free run.
- cites [34] Ruddock HK, Dickson JM, Field M, Hardman CA. Eating to live or living to eat? Exploring the causal attributions of self‐perceived food addiction. Appetite 2015 Dec; 95: 262– 268. 26206173 source
Not checked in the free run.
- cites [35] Jastreboff AM, Gaiser EC, Gu P, Sinha R. Sex differences in the association between dietary restraint, insulin resistance and obesity. Eat Behav 2014 Apr; 15: 286– 290. 24854820 PMC4032476 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe internal reliability for the study sample for YFAS was α = 0.73.
“The internal reliability for the study sample for YFAS was α = 0.73.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationA temporal signal‐to‐noise ratio of 50.4 is at least comparable with that in many published large‐scale studies.
“A temporal signal‐to‐noise ratio of 50.4 is at least comparable with that in many published large‐scale studies 70.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [70] Adhikari BM, Jahanshad N, Shukla D, et al. A resting state fMRI analysis pipeline for pooling inference across diverse cohorts: an ENIGMA rs‐fMRI protocol. Brain Imaging Behav 2018 Sep 6. 10.1007/s1168 PMC6401353 30191514 source
Not checked in the free run.
May combine two claims.
Study design and conductcitationEach ETI‐SR subscale has good reliability (α = 0.70-0.87) and validity (r = 0.32-0.44).
“Each ETI‐SR subscale has good reliability (α = 0.70–0.87) and validity (r = 0.32–0.44) 63.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [63] Bremner JD, Bolus R, Mayer EA. Psychometric properties of the Early Trauma Inventory – Self Report. J Nerv Ment Dis 2007 Mar; 195: 211– 218. 17468680 PMC3229091 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe YFAS has displayed a good internal reliability α = 0.86.
“The YFAS has displayed a good internal reliability α = 0.86 61.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [61] Gearhardt AN, Corbin WR, Brownell KD. Preliminary validation of the Yale Food Addiction Scale. Appetite 2009 Apr; 52: 430– 436. 19121351 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIndividuals who are overweight demonstrate increased centrality between reward network regions and regions of the executive control, emotional regulation and somatosensory networks.
“Previous work has shown that individuals who are overweight demonstrate increased centrality between reward network regions and regions of the executive control, emotional regulation and somatosensory networks 41;”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [41] Gupta A, Mayer EA, Sanmiguel CP, et al. Patterns of brain structural connectivity differentiate normal weight from overweight subjects. Neuroimage Clin 2015; 7: 506– 517. 25737959 PMC4338207 source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationDisruptions to these brain networks may override homeostatic needs and drive the overconsumption of highly palatable foods.
“Disruptions to these brain networks may override homeostatic needs and drive the overconsumption of highly palatable foods 25, 26.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [25] Sato W, Sawada R, Kubota Y, Toichi M, Fushiki T. Homeostatic modulation on unconscious hedonic responses to food. BMC Res Notes 2017 Oct 26; 10: 511. 29073920 PMC5658914 source
Not checked in the free run.
- cites [26] Blundell JE, Finlayson G. Is susceptibility to weight gain characterized by homeostatic or hedonic risk factors for overconsumption? Physiol Behav 2004 Aug; 82: 21– 25. 15234585 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAdversity during childhood, a key neurodevelopmental period, may disrupt neuronal growth by making stress‐sensitive brain circuits vulnerable to the effects of glucocorticoids, inflammatory cytokines and excitatory microbial metabolites.
“One theory posits that adversity during childhood, a key neurodevelopmental period, may disrupt neuronal growth by making stress‐sensitive brain circuits vulnerable to the effects of glucocorticoids, inflammatory cytokines and excitatory microbial metabolites 15, 23.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [15] Berens AE, Jensen SKG, Nelson CA 3rd. Biological embedding of childhood adversity: from physiological mechanisms to clinical implications. BMC Med 2017 Jul 20; 15: 135. 28724431 PMC5518144 source
Not checked in the free run.
- cites [23] Raymond C, Marin MF, Majeur D, Lupien S. Early child adversity and psychopathology in adulthood: HPA axis and cognitive dysregulations as potential mechanisms. Prog Neuropsychopharmacol Biol Psychiatry 2018 Jul 13; 85: 152– 160. 28751271 source
Not checked in the free run.
May combine two claims.
PremisecitationStriking sex differences have been observed in eating behaviours and food cravings, resulting in an increased risk for obesity.
“Furthermore, striking sex differences have been observed in eating behaviours and food cravings, resulting in an increased risk for obesity 30, 31, 32.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [30] Lalitha V, Pal GK, Pal P, Parija SC, Murugaiyan SB. Gender difference in the role of posterodorsal amygdala on the regulation of food intake, adiposity and immunological responses in albino Wistar rats. Annal Neurosci 2016 Mar; 23: 6– 12. PMC4934414 27536016 source
Not checked in the free run.
- cites [31] Hallam J, Boswell RG, DeVito EE, Kober H. Gender‐related differences in food craving and obesity. Yale J Biol Med 2016 Jun; 89: 161– 173. 27354843 PMC4918881
Not checked in the free run.
- cites [32] Park S, Shin WS. Differences in eating behaviors and masticatory performances by gender and obesity status. Physiol Behav 2015 Jan; 138: 69– 74. 25447481 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationLowering of CNS serotonin by acute tryptophan depletion resulted in increased sweet calorie intake and a heightened preference for sweet foods in overweight but not normal weight individuals.
“For example, a study of 55 women showed that lowering of CNS serotonin by acute tryptophan depletion resulted in increased sweet calorie intake and a heightened preference for sweet foods in overweight but not normal weight individuals 24.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [24] Pagoto SL, Spring B, McChargue D, et al. Acute tryptophan depletion and sweet food consumption by overweight adults. Eat Behav 2009 Jan; 10: 36– 41. 19171315 PMC2663793 source
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationNeuroimaging studies have identified some of the brain mechanisms associated with obesity and food addiction, demonstrating alterations in the core reward network (e.g. nucleus accumbens) and the extended reward network (i.e. emotion regulation, executive control, salience and somatosensory networks).
“Neuroimaging studies have identified some of the brain mechanisms associated with obesity and food addiction 39, 40, demonstrating alterations in the core reward network (e.g. nucleus accumbens) and the extended reward network (i.e. emotion regulation, executive control, salience and somatosensory networks) 41, 42, 43.”
Quote in the paperSubstantial claim0 of 5 sources checked- cites [39] Volkow ND, Wang GJ, Baler RD. Reward, dopamine and the control of food intake: implications for obesity. Trends Cogn Sci 2011 Jan; 15: 37– 46. 21109477 PMC3124340 source
Not checked in the free run.
- cites [40] Volkow ND, Wang GJ, Tomasi D, Baler RD. Obesity and addiction: neurobiological overlaps. Obes Rev 2013 Jan; 14: 2– 18. 23016694 PMC4827343 source
Not checked in the free run.
- cites [41] Gupta A, Mayer EA, Sanmiguel CP, et al. Patterns of brain structural connectivity differentiate normal weight from overweight subjects. Neuroimage Clin 2015; 7: 506– 517. 25737959 PMC4338207 source
Not checked in the free run.
- cites [42] Stice E, Figlewicz DP, Gosnell BA, Levine AS, Pratt WE. The contribution of brain reward circuits to the obesity epidemic. Neurosci Biobehav Rev 2013 Nov; 37: 2047– 2058. 23237885 PMC3604128 source
Not checked in the free run.
- cites [43] Lee PC, Dixon JB. Food for thought: reward mechanisms and hedonic overeating in obesity. Curr Obes Rep 2017 Dec; 6: 353– 361. 29052153 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe average temporal signal‐to‐noise ratio was 50.4, as assessed by the MRIQC toolbox.
“The average temporal signal‐to‐noise ratio was 50.4, as assessed by the MRIQC toolbox 69.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [69] Esteban O, Birman D, Schaer M, Koyejo OO, Poldrack RA, Gorgolewski KJ. MRIQC: advancing the automatic prediction of image quality in MRI from unseen sites. PLoS ONE 2017; 12: e0184661. 28945803 PMC5612458 source
Not checked in the free run.
May combine two claims.
PremisecitationThere is evidence to suggest a role for changes in the brain's serotonergic signalling by ELA and that these alterations may contribute to obesity and food addiction.
“There is also evidence to suggest a role for changes in the brain's serotonergic signalling by ELA and that these alterations may contribute to obesity and food addiction 15.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [15] Berens AE, Jensen SKG, Nelson CA 3rd. Biological embedding of childhood adversity: from physiological mechanisms to clinical implications. BMC Med 2017 Jul 20; 15: 135. 28724431 PMC5518144 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe internal reliability for the study sample for the ETI‐SR total scale was α = 0.70.
“The internal reliability for the study sample for the ETI‐SR total scale was α = 0.70.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe overweight and obese brain shows similar alterations in reward networks of the brain.
“Previous work has shown that the overweight and obese brain shows similar alterations in reward networks of the brain 41.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [41] Gupta A, Mayer EA, Sanmiguel CP, et al. Patterns of brain structural connectivity differentiate normal weight from overweight subjects. Neuroimage Clin 2015; 7: 506– 517. 25737959 PMC4338207 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenAll participants provided written informed consent.
“All participants provided written informed consent.”
- Also stated in: § Research involving human participants and informed consent · plain
“All participants provided written informed consent.”
Quote in the paperNot a substantial claim- Also stated in: § Research involving human participants and informed consent · plain
Classified as probably not a substantial claim.
Study design and conductnone givenResults were adjusted for multiple testing using a false discovery rate of 5% and thresholded for significance at an adjusted p of q < 0.05.
“Results were adjusted for multiple testing using a false discovery rate of 5% and thresholded for significance at an adjusted p of q < 0.05.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThese alterations are sex specific and involve brain regions influenced by dopaminergic or serotonergic signalling.
“These alterations are sex specific and involve brain regions influenced by dopaminergic or serotonergic signalling.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Associations present in one group, which are missing in another, not only differentiate the groups but also indicate potential clues to the functionality of the system.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationaCompCor has been shown to be particularly effective for dealing with residual motion relative to other methods.
“Although the influence of head motion cannot be completely removed, aCompCor has been shown to be particularly effective for dealing with residual motion relative to other methods 78.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [78] Ciric R, Wolf DH, Power JD, et al. Benchmarking of participant‐level confound regression strategies for the control of motion artifact in studies of functional connectivity. Neuroimage 2017 Jul 1; 154: 174– 187. 28302591 PMC5483393 source
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductreasoningParticipants with hypertension, diabetes, metabolic syndrome, eating disorders, such as anorexia or bulimia, substance abuse, tobacco dependence and psychiatric illnesses were excluded to minimize confounding effects.
“Participants with hypertension, diabetes, metabolic syndrome, eating disorders, such as anorexia or bulimia, substance abuse, tobacco dependence and psychiatric illnesses were excluded to minimize confounding effects.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenAll procedures complied with the principles of the Declaration of Helsinki and were approved by the Institutional Review Board at UCLA's Office of Protection for Research Participants.
“All procedures complied with the principles of the Declaration of Helsinki and were approved by the Institutional Review Board at UCLA's Office of Protection for Research Participants.”
- Also stated in: § Research involving human participants and informed consent · plain
“All procedures complied with the principles of the Declaration of Helsinki and were approved by the Institutional Review Board at UCLA's Office of Protection for Research Participants.”
Quote in the paperNot a substantial claim- Also stated in: § Research involving human participants and informed consent · plain
Classified as probably not a substantial claim. May combine two claims.
Study design and conductnone givenSpearman correlations were computed between all data types controlling for age and sex for between disease group comparisons and for age for within sex comparisons.
“Spearman correlations were computed between all data types controlling for age and sex for between disease group comparisons and for age for within sex comparisons in matlab version R2015b.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductreasoningOnly women who were in premenopausal with regular menstrual cycles and who were scanned during the follicular phase of their menstrual cycles were included in this study.
“Because female sex hormones such as oestrogen are known to affect brain structure and function, only women who were in premenopausal with regular menstrual cycles and who were scanned during the follicular phase of their menstrual cycles (i.e. 4–12 d after the first day of the last menstrual period) were included in this study.”
Quote in the paperSubstantial claim- Rests on an assumption: Female sex hormones such as oestrogen affect brain structure and function.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAlterations in reward and emotion regulation regions have been previously demonstrated in individuals with obesity.
“Alterations in reward and emotion regulation regions have been previously demonstrated in individuals with obesity 41, 56, 57.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [41] Gupta A, Mayer EA, Sanmiguel CP, et al. Patterns of brain structural connectivity differentiate normal weight from overweight subjects. Neuroimage Clin 2015; 7: 506– 517. 25737959 PMC4338207 source
Not checked in the free run.
- cites [56] Gupta A, Mayer EA, Hamadani K, et al. Sex differences in the influence of body mass index on anatomical architecture of brain networks. Int J Obes (Lond) 2017 Aug; 41: 1185– 1195. 28360430 PMC5548596 source
Not checked in the free run.
- cites [57] Gupta A, Mayer EA, Labus JS, et al. Sex commonalities and differences in obesity‐related alterations in intrinsic brain activity and connectivity. Obesity (Silver Spring) 2018 Feb; 26: 340– 350. 29280306 PMC5783781 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe extended reward system involves regions associated with salience and cortical inhibition (prefrontal control) networks.
“The extended reward system involves regions associated with salience and cortical inhibition (prefrontal control) networks 39, 89, 90, 91.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [39] Volkow ND, Wang GJ, Baler RD. Reward, dopamine and the control of food intake: implications for obesity. Trends Cogn Sci 2011 Jan; 15: 37– 46. 21109477 PMC3124340 source
Not checked in the free run.
- cites [89] Mayer EA. Gut feelings: the emerging biology of gut–brain communication. Nat Rev Neurosci 2011 Aug; 12: 453– 466. 21750565 PMC3845678 source
Not checked in the free run.
- cites [90] Kenny PJ. Reward mechanisms in obesity: new insights and future directions. Neuron 2011 Feb 24; 69: 664– 679. 21338878 PMC3057652 source
Not checked in the free run.
May combine two claims.
Interpretationown dataBMI-related differences are influenced by sex; women with high BMI showed positive associations between ELA and centrality of reward regions, emotion regulation regions and food addiction scores.
“BMI‐related differences are influenced by sex; women with high BMI showed positive associations between ELA and centrality of reward regions, emotion regulation regions and food addiction scores.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationThe nucleus accumbens is a central part of the dopamine system, regulating reward sensitivity and controlling processes underlying food intake and food addiction.
“The nucleus accumbens is a central part of the dopamine system, regulating reward sensitivity and controlling processes underlying food intake and food addiction 39.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [39] Volkow ND, Wang GJ, Baler RD. Reward, dopamine and the control of food intake: implications for obesity. Trends Cogn Sci 2011 Jan; 15: 37– 46. 21109477 PMC3124340 source
Not checked in the free run.
May combine two claims.
Interpretationown dataIndividuals with high BMI had positive associations of ELA with centrality of emotion regulation regions, accompanied by increased food addiction scores.
“Individuals with high BMI had positive associations of ELA with centrality of emotion regulation regions; these associations were accompanied by increased food addiction scores.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThese results support the hypothesis that ELA events during childhood may alter connectivity of brain regions in the extended reward network, perhaps contributing to increased vulnerability for food addiction and obesity in adulthood, with these vulnerabilities differing by sex.
“These results support the hypothesis that ELA events during childhood may alter connectivity of brain regions in the extended reward network, perhaps contributing to increased vulnerability for food addiction and obesity in adulthood, with these vulnerabilities differing by sex.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationA less responsive dopamine system leads to a greater propensity towards obesity, similar to other addictive disorders.
“Similar to other addictive disorders in which perturbations in brain regions within the core and extended reward networks have been reported, a less responsive dopamine system leads to a greater propensity towards obesity 40, 85, 86, 87, 88.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [40] Volkow ND, Wang GJ, Tomasi D, Baler RD. Obesity and addiction: neurobiological overlaps. Obes Rev 2013 Jan; 14: 2– 18. 23016694 PMC4827343 source
Not checked in the free run.
- cites [85] Volkow ND, Wang GJ, Fowler JS, Telang F. Overlapping neuronal circuits in addiction and obesity: evidence of systems pathology. Philos T R Soc B 2008 Oct 12; 363: 3191– 3200. PMC2607335 18640912 source
Not checked in the free run.
- cites [86] Volkow ND, Wang GJ, Tomasi D, Baler RD. The addictive dimensionality of obesity. Biol Psychiatry 2013 May 1; 73: 811– 818. 23374642 PMC4827347 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe reward deficiency model suggests that in obesity, decreased dopamine signalling in the striatum reinforces the rewarding properties of food and disrupts corticostriatal communication between the basal ganglia and the extended reward system.
“The reward deficiency model suggests that in obesity, the presence of decreased dopamine signalling in the striatum reinforces the rewarding properties of food and disrupts corticostriatal communication between the basal ganglia (core reward) and the extended reward system 83, 84.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [83] Volkow ND, Wang GJ, Telang F, et al. Low dopamine striatal D2 receptors are associated with prefrontal metabolism in obese subjects: possible contributing factors. Neuroimage 2008 Oct 1; 42: 1537– 1543. 18598772 PMC2659013 source
Not checked in the free run.
- cites [84] Gaiser EC, Gallezot JD, Worhunsky PD, et al. Elevated dopamine D2/3 receptor availability in obese individuals: a PET imaging study with [11C](+)PHNO. Neuropsychopharmacology 2016 Dec; 41: 3042– 3050. 27374277 PMC5101552 source
Not checked in the free run.
May combine two claims.
PremisecitationELA (general) may not be as severe or personal in nature as other ELAs and may actually serve as a source of increased resilience.
“ELA (general) may not be as severe or personal in nature as other ELAs and may actually serve as a source of increased resilience 11.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [11] Gupta A, Mayer EA, Acosta JR, et al. Early adverse life events are associated with altered brain network architecture in a sex‐dependent manner. Neurobiol Stress 2017 Dec; 7: 16– 26. 28239631 PMC5318542 source
Not checked in the free run.
May combine two claims.
InterpretationreasoningParticipants with high BMI (high BMI group and men with high BMI) showed associations between food addiction and other, non-general ELAs (physical and sexual), perhaps reflecting the more deleterious nature of these ELAs.
“Participants with high BMI (high BMI group and men with high BMI) showed associations between food addiction and other, non‐general ELAs (physical and sexual), perhaps reflecting the more deleterious nature of these ELAs.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningParticipants with normal BMI showed associations between food addiction and ELA (general), reflecting associations that may be protective.
“Participants with normal BMI showed associations between food addiction and ELA (general), reflecting associations that may be protective.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe basal ganglia are involved in a range of learning behaviours related to the anticipation and motivation associated with ingestive behaviours.
“The basal ganglia are involved in a range of learning behaviours related to the anticipation and motivation associated with ingestive behaviours 39, 104, 105.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [39] Volkow ND, Wang GJ, Baler RD. Reward, dopamine and the control of food intake: implications for obesity. Trends Cogn Sci 2011 Jan; 15: 37– 46. 21109477 PMC3124340 source
Not checked in the free run.
- cites [104] Balleine BW, Delgado MR, Hikosaka O. The role of the dorsal striatum in reward and decision‐making. J Neurosci Off J Soc Neurosci 2007 Aug 1; 27: 8161– 8165. PMC6673072 17670959 source
Not checked in the free run.
- cites [105] Haber SN, Knutson B. The reward circuit: linking primate anatomy and human imaging. Neuropsychopharmacol Off Publ Am College Neuropsychopharmacol 2010 Jan; 35: 4– 26. PMC3055449 19812543 source
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationFood addiction has been implicated in obesity as a result of alterations in the extended reward network; the somatosensory network represents an important component of the extended reward network, playing a key role in interoceptive and sensory awareness and generating appropriate motor responses.
“Food addiction has been implicated in obesity as a result of alterations in the extended reward network 39, 40, 94; the somatosensory network represents an important component of the extended reward network, playing a key role in interoceptive and sensory awareness and generating appropriate motor responses 41, 100, 101.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [39] Volkow ND, Wang GJ, Baler RD. Reward, dopamine and the control of food intake: implications for obesity. Trends Cogn Sci 2011 Jan; 15: 37– 46. 21109477 PMC3124340 source
Not checked in the free run.
- cites [40] Volkow ND, Wang GJ, Tomasi D, Baler RD. Obesity and addiction: neurobiological overlaps. Obes Rev 2013 Jan; 14: 2– 18. 23016694 PMC4827343 source
Not checked in the free run.
- cites [94] Volkow ND, Baler RD. NOW vs LATER brain circuits: implications for obesity and addiction. Trends Neurosci 2015 Jun; 38: 345– 352. 25959611 source
Not checked in the free run.
May combine two claims.
Interpretationown dataELA may contribute to disruptions in the topology of these brain regions and increase vulnerability to develop food addiction, relative to changes seen in obesity alone.
“ELA may contribute to disruptions in the topology of these brain regions and increase vulnerability to develop food addiction, relative to changes seen in obesity alone.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataIn addition to obesity, ELA plays a role in alterations in the extended reward regions, which are associated with food addiction.
“Although causality remains to be determined, these findings suggest that in addition to obesity, ELA plays a role in alterations in the extended reward regions, which are associated with food addiction.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationcitationIndividuals with a history of general ELA (as opposed to physical or sexual) may be more likely to translate these experiences into adulthood resiliency, which may explain the potentially protective nature of these experiences.
“Individuals with a history of general ELA (as opposed to physical or sexual) may be more likely to translate these experiences into adulthood resiliency, which may explain the potentially protective nature of these experiences 103.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [103] Kentner AC, Cryan JF, Brummelte S. Resilience priming: translational models for understanding resiliency and adaptation to early life adversity. Dev Psychobiol 2019 Apr; 61: 350– 375. 30311210 PMC6447439 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationIn obesity, the salience network integrates salient information to make decisions regarding food intake and, together with the executive control network, inhibits reward impulses.
“In obesity, the salience network integrates salient information to make decisions regarding food intake 92, 93, 94, 95 and, together with the executive control network, inhibits reward impulses 96, 97.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [92] Morrow JD, Maren S, Robinson TE. Individual variation in the propensity to attribute incentive salience to an appetitive cue predicts the propensity to attribute motivational salience to an aversive cue. Behav Brain Res 2011 Jun 20; 220: 238– 243. 21316397 PMC3073129 source
Not checked in the free run.
- cites [93] Garcia‐Garcia I, Jurado MA, Garolera M, et al. Alterations of the salience network in obesity: a resting‐state fMRI study. Hum Brain Mapp 2013 Nov; 34: 2786– 2797. 22522963 PMC6870073 source
Not checked in the free run.
- cites [94] Volkow ND, Baler RD. NOW vs LATER brain circuits: implications for obesity and addiction. Trends Neurosci 2015 Jun; 38: 345– 352. 25959611 source
Not checked in the free run.
May combine two claims.
InterpretationcitationThese findings may reflect reduced dopamine signalling in the thalamus and perhaps the striatum as a whole, which has been associated with reinforcing the rewarding properties of food and, in individuals with high BMI but not normal BMI, with increased metabolism in somatosensory cortical regions.
“These findings may reflect reduced dopamine signalling in the thalamus and perhaps the striatum as a whole, which has been associated with reinforcing the rewarding properties of food and, in individuals with high BMI but not normal BMI, with increased metabolism in somatosensory cortical regions 83.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [83] Volkow ND, Wang GJ, Telang F, et al. Low dopamine striatal D2 receptors are associated with prefrontal metabolism in obese subjects: possible contributing factors. Neuroimage 2008 Oct 1; 42: 1537– 1543. 18598772 PMC2659013 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationData from numerous studies have demonstrated notable sex differences in stress-induced cortisol levels.
“Although at times conflicting, data from numerous studies have demonstrated notable sex differences with respect to stress‐induced cortisol levels 116, 117, 118.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [116] Uhart M, Chong RY, Oswald L, Lin PI, Wand GS. Gender differences in hypothalamic–pituitary–adrenal (HPA) axis reactivity. Psychoneuroendocrinology 2006 Jun; 31: 642– 652. 16616815 source
Not checked in the free run.
- cites [117] Kudielka BM, Kirschbaum C. Sex differences in HPA axis responses to stress: a review. Biol Psychol 2005 Apr; 69: 113– 132. 15740829 source
Not checked in the free run.
- cites [118] Bangasser DA, Valentino RJ. Sex differences in stress‐related psychiatric disorders: neurobiological perspectives. Front Neuroendocrinol 2014 Aug; 35: 303– 319. 24726661 PMC4087049 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMen consume larger bite sizes and chew faster and more forcefully compared with women.
“On the other hand, men consume larger bite sizes and chew faster and more forcefully compared with women 32.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [32] Park S, Shin WS. Differences in eating behaviors and masticatory performances by gender and obesity status. Physiol Behav 2015 Jan; 138: 69– 74. 25447481 source
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductreasoningThe cross-sectional nature of the study did not enable the authors to address questions of causality between the observed brain changes, clinical/behavioural outcomes, self-reported ELA and obesity.
“The cross‐sectional nature of the study did not enable us to address questions of causality between the observed brain changes, clinical/behavioural outcomes, self‐reported ELA and obesity.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationSex-specific interactions between ELA, brain connectivity and food addiction behaviours may result from differential activation of the hypothalamic-pituitary-adrenal axis.
“Alternatively, the sex‐specific interactions between ELA, brain connectivity and food addiction behaviours may be a result of differential activation of the hypothalamic–pituitary–adrenal axis.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningETI-SR may be limited by recall accuracy.
“ETI‐SR may also be limited by recall accuracy; future, long‐term longitudinal studies would likely more accurately reflect ELA that may be missed with self‐report questionnaires.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationSerotonergic neurons in the midbrain differentiate early during CNS development, with sex differences in the rat brain serotonergic system established as early as the second postnatal week, likely mediated by intracellular oestrogen receptors.
“It is also important to note that serotonergic neurons in the midbrain differentiate early during CNS development, with sex differences in the serotonergic system of the rat brain established as early as the second postnatal week, likely mediated by intracellular oestrogen receptors 113, 114.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [113] Jarzab B, Dohler KD. Serotoninergic influences on sexual differentiation of the rat brain. Prog Brain Res 1984; 61: 119– 126. 6241317 source
Not checked in the free run.
- cites [114] McEwen BS, Alves SE. Estrogen actions in the central nervous system. Endocr Rev 1999 Jun; 20: 279– 307. 10368772 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationWomen report more trait-related and state-related cravings and find it more difficult to cognitively regulate or restrain food cravings.
“Additionally, women report more trait‐related and state‐related cravings, finding it more difficult to cognitively regulate or restrain food cravings 31, 32.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [31] Hallam J, Boswell RG, DeVito EE, Kober H. Gender‐related differences in food craving and obesity. Yale J Biol Med 2016 Jun; 89: 161– 173. 27354843 PMC4918881
Not checked in the free run.
- cites [32] Park S, Shin WS. Differences in eating behaviors and masticatory performances by gender and obesity status. Physiol Behav 2015 Jan; 138: 69– 74. 25447481 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningThese ingestive patterns could translate to women eating more often and men consuming larger meals in response to ELA.
“These ingestive patterns could translate to women eating more often and men consuming larger meals in response to ELA.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationCompared with men with high BMI, women with high BMI report higher food addiction behaviours, cravings, comorbidity, reward sensitivity and repeated unsuccessful attempts to maintain weight loss.
“Compared with men with high BMI, women with high BMI report higher food addiction behaviours, cravings, comorbidity, reward sensitivity and repeated unsuccessful attempts to maintain weight loss 33, 34, 35.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [33] Loxton NJ, Tipman RJ. Reward sensitivity and food addiction in women. Appetite 2017 Aug 1; 115: 28– 35. 27756640 source
Not checked in the free run.
- cites [34] Ruddock HK, Dickson JM, Field M, Hardman CA. Eating to live or living to eat? Exploring the causal attributions of self‐perceived food addiction. Appetite 2015 Dec; 95: 262– 268. 26206173 source
Not checked in the free run.
- cites [35] Jastreboff AM, Gaiser EC, Gu P, Sinha R. Sex differences in the association between dietary restraint, insulin resistance and obesity. Eat Behav 2014 Apr; 15: 286– 290. 24854820 PMC4032476 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationWomen crave sweets such as chocolates, while men crave savoury foods.
“For example, women crave sweets such as chocolates, while men crave savoury foods.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [31] Hallam J, Boswell RG, DeVito EE, Kober H. Gender‐related differences in food craving and obesity. Yale J Biol Med 2016 Jun; 89: 161– 173. 27354843 PMC4918881
Not checked in the free run.
- cites [32] Park S, Shin WS. Differences in eating behaviors and masticatory performances by gender and obesity status. Physiol Behav 2015 Jan; 138: 69– 74. 25447481 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationThese developmental sex differences may set the stage for enhanced corticolimbic responsiveness to emotional stimuli in women.
“These developmental sex differences may set the stage for enhanced corticolimbic responsiveness to emotional stimuli in women 115.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [115] Domes G, Schulze L, Bottger M, et al. The neural correlates of sex differences in emotional reactivity and emotion regulation. Hum Brain Mapp 2010 May; 31: 758– 769. 19957268 PMC6871188 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationSex differences may not represent exclusively fundamental biological differences, as hedonic food intake may also be influenced by cultural differences in societal expectations from men and women.
“It is important to note, though, that sex differences may not represent exclusively fundamental biological differences, as hedonic food intake may also be influenced by cultural differences in societal expectations from men and women 119, 120.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [119] Estima CC, Bruening M, Hannan PJ, et al. A cross‐cultural comparison of eating behaviors and home food environmental factors in adolescents from São Paulo (Brazil) and Saint Paul – Minneapolis (US). J Nutr Educ Behav 2014 Sep‐Oct; 46: 370– 375. 24656651 PMC4372846 source
Not checked in the free run.
- cites [120] Pollard J, Kirk SF, Cade JE. Factors affecting food choice in relation to fruit and vegetable intake: a review. Nutr Res Rev 2002 Dec; 15: 373– 387. 19087412 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenETI-SR does not capture the age at which ELA occurs.
“To measure ELA, ETI‐SR was used, which does not capture the age at which the ELA occurs.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoningVarious trends in the data were observed, and some may be due to a limited sample size, especially with respect to subgroup differences.
“Although various trends in the data were observed, some of these trends may be due to a limited sample size, especially with respect to subgroup differences.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThese findings may have implications for more effective, sex-specific and behavioural treatments for obesity, especially for individuals whose obesity may be driven primarily by food addiction.
“These findings may have implications for more effective, sex‐specific and behavioural treatments for obesity, especially for individuals whose obesity may be driven primarily by food addiction.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationSystemic inflammatory markers and metabolites such as those derived from the gut microbiota have been associated with obesity and food addiction.
“As systemic inflammatory markers 123 and metabolites such as those derived from the gut microbiota have been associated with obesity and food addiction, future mechanistic studies that integrate these mediators are also of value.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [123] Monteiro R, Azevedo I. Chronic inflammation in obesity and the metabolic syndrome. Mediators Inflamm 2010; 2010. PMC2913796 20706689 source
Not checked in the free run.
The authors state this as an assumption.
Associations present in one group, which are missing in another, not only differentiate the groups but also indicate potential clues to the functionality of the system.
“The analysis presumes that associations present in one group, which are missing in another, not only differentiate the groups but also indicate potential clues to the functionality of the system; this approach has been used previously 58, 82.”
The paper relies on this without support.
Food addiction is driven by the interactions of dopaminergic pathways with other central nervous system networks, such as those involving the hypothalamus.
“Food addiction is driven by the interactions of dopaminergic pathways with other central nervous system (CNS) networks, such as those involving the hypothalamus.”
The paper relies on this without support.
Female sex hormones such as oestrogen affect brain structure and function.
“Because female sex hormones such as oestrogen are known to affect brain structure and function, only women who were in premenopausal with regular menstrual cycles and who were scanned during the follicular phase of their menstrual cycles (i.e. 4–12 d after the first day of the last menstrual period) were included in this study.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
fMRI studies have linked ELA to blunted subjective responses to reward-predicting cues and to altered connectivity in the extended reward network, leading to increased vulnerability to FA and obesity later in life.
“Functional magnetic resonance imaging (fMRI) studies have linked ELA to blunted subjective responses to reward-predicting cues [29], and to altered connectivity in the extended reward network, leading to increased vulnerability to FA and obesity later in life [30].”
From Food Addiction and Psychosocial Adversity: Biological Embedding, Contextual Factors, and Public Health Implications (2020) · cites this paper as [30]
This case illustrates the link between ELA and FA which is likely mediated by biological mechanisms including altered DA signaling.
“This case illustrates the link between ELA and FA which is likely mediated by biological mechanisms including altered DA signaling [121,122,192,193,194].”
From Separating the Signal from the Noise: How Psychiatric Diagnoses Can Help Discern Food Addiction from Dietary Restraint (2020) · cites this paper as [192]
There are no articles describing effective interventions for the treatment of obesity in individuals with a history of ACEs which is likely mediated by FA.
“Likewise, there are no articles describing effective interventions for the treatment of obesity in individuals with a history of ACEs [220] which is likely mediated by FA [9,192].”
From Separating the Signal from the Noise: How Psychiatric Diagnoses Can Help Discern Food Addiction from Dietary Restraint (2020) · cites this paper as [192]
Early life adversity increases vulnerability for food addiction and obesity later in life.
“ELA increases vulnerability for FA and obesity later in life [192] and highly palatable foods can become a way to distract from disturbing and intrusive trauma-related thoughts [237].”
From Separating the Signal from the Noise: How Psychiatric Diagnoses Can Help Discern Food Addiction from Dietary Restraint (2020) · cites this paper as [192]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Reported significant total-adversity difference conflicts with Table 2
MajorThe results report p = 0.00007 for the high-versus-normal BMI ETI-SR total score difference, whereas Table 2 reports p = 0.153.
“Participants with high BMI reported higher scores on ETI‐SR general (p = 0.02), emotional (p = 0.0006) and total (p = 0.00007).”
“| Total score | 2.33 | 2.33 | 2.33 | 179 | 179 | 179 | 0.153 | 0.153 | 0.153 |”
Reported significant general-trauma difference conflicts with Table 2
MajorThe results report a significant high-versus-normal BMI difference in the ETI-SR general score at p = 0.02, whereas Table 2 reports p = 0.769 for that comparison.
“Participants with high BMI reported higher scores on ETI‐SR general (p = 0.02), emotional (p = 0.0006) and total (p = 0.00007).”
“| General score | 1.24 | 1.24 | 1.24 | 181 | 181 | 181 | 0.769 | 0.769 | 0.769 |”
Reported significant emotional-abuse difference conflicts with Table 2
MajorThe results report p = 0.0006 for the high-versus-normal BMI emotional score difference, but Table 2 reports p = 0.179.
“Participants with high BMI reported higher scores on ETI‐SR general (p = 0.02), emotional (p = 0.0006) and total (p = 0.00007).”
“| Emotional score | 2.26 | 2.26 | 2.26 | 180 | 180 | 180 | 0.179 | 0.179 | 0.179 |”
Normal-BMI range includes a participant below the stated lower limit
MinorThe abstract defines the normal-BMI group as 18.50-24.99, but the results give a minimum BMI of 17.90 for that group.
“normal BMI: 18.50–24.99: 49 women and 30 men”
“Participants with normal BMI (BMI < 25 kg/m−2: mean BMI = 22.12, SD = 1.70, range = 17.90–24.88 kg/m−2)”
Salience associations called positive are negative
MinorThe sentence calls the male salience-region associations with YFAS positive, but both anterior mid-cingulate correlations it reports are negative.
“Only male participants showed a positive association between YFAS and centrality of emotional regulation and salience regions: left hippocampus (BC: r = 0.68, q = 0.0009) and bilateral anterior mid‐cingulate cortex (left DS: r = −0.53, q = 0.03; right DS: r = −0.61, q = 0.006).”
“| Left MACC (ACgG_S) | Salience | Strength | −0.52871 | 0.00790 | 0.03161 | 24 |”
The citation lists haven’t been fetched yet
References 134 · Cited by 44
Research works printed but not linked: 1
- 10.1098/rstb.2008.0107 · DOI · Paper page
- Authors
- Osadchiy, V., Mayer, E. A., Bhatt, R., Labus, J. S., Gao, L., Kilpatrick, L. A., Liu, C., Tillisch, K., Naliboff, B., Chang, L., & Gupta, A.
- Affiliations
- University of California, Los Angeles (US)
- Corresponding author
- Gupta, A.
- ORCID
- Venue
- Obesity Science & Practice
- Publisher
- Wiley
- Published
- 2019-08-30
- Volume
- 5
- Issue
- 5
- Pages
- 416-436
- ISSN
- 2055-2238 (ISSN-L)
- PMC
- PMC6819979
- OpenAlex
- W2963659054
- Semantic Scholar
- 1d8e5750b7b341779e42388a0eed1edd3e6bbaf0
- Cited by
- 44
- References
- 134
- Citations by year
- 2026: 4 · 2025: 4 · 2024: 8 · 2023: 6 · 2022: 6 · 2021: 6 · 2020: 8 · 2019: 1 · 2018: 1
- FWCI
- 6.13
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Obesity Science & Practice (publishedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- eScholarship (California Digital Library) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by-nc-nd)
- Funders
- National Institute of Diabetes and Digestive and Kidney Diseases (K23 DK106528, P30 DK041301, P50 DK064539, R01 DK048351)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Eating Disorders and Behaviors
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Keywords
- childhood adversity, food addiction, obesity, sex differences, reward network, resting-state functional connectivity, brain network centrality, emotion regulation, dopamine signaling, body mass index
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-09.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-09.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review