COVID-19 pandemic lockdown and problematic eating behaviors in a student population
Open accessAbstract
Background and aims: Since mid-March 2020, over 3 billion people have been confined as a result of the COVID-19 pandemic. Problematic eating behaviors are likely to be impacted by the pandemic through multiple pathways. This study examined the relationships between stress related to lockdown measures and binge eating and dietary restriction in a population of French students during the first week of confinement. Methods: A sample of undergraduate students (N = 5,738) completed an online questionnaire 7 days after lockdown measures were introduced. The survey comprised variables related to lockdown measures and the COVID-19-pandemic, mood, stress, body image, binge eating and dietary restriction during the past 7 days, as well as intent to binge eat and restrict in the following 15 days. Results: Stress related to the lockdown was associated with greater likelihood of binge eating and dietary restriction over the past week and intentions to binge eat and restrict over the next 15 days. Greater exposure to COVID-19-related media was associated with increased eating restriction over the past week. Binge eating and restriction (past and intentions) were associated with established risk factors, including female gender, low impulse regulation, high body dissatisfaction, and having a concurrent probable eating disorder. Discussion and conclusion: The higher the stress related to the first week of confinement, the higher the risk of problematic eating behaviors among students, particularly those characterized by eating-related concerns. Screening for risk factors and providing targeted interventions might help decrease problematic eating behaviors among those who are most vulnerable.
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TL;DR
In French undergraduate students surveyed during the first COVID-19 lockdown, lockdown-related stress was associated with higher odds of past-week binge eating and dietary restriction and with intentions to binge/restrict over the next 15 days. Pre-existing eating disorder risk, female gender, body dissatisfaction, and poor impulse regulation were also associated with these problematic eating behaviors.
Key findings
- Lockdown-related stress was associated with greater odds of past-week binge eating (OR = 1.12, 95% CI 1.04–1.21) and dietary restriction (OR = 1.17, 95% CI 1.08–1.26), and with intentions to binge eat (OR = 1.33, 95% CI 1.19–1.48) and restrict (OR = 1.12, 95% CI 1.03–1.21) over the next 15 days.
- Probable eating disorder symptoms (SCOFF ≥ 2) were the strongest predictor across outcomes: past-week binge eating OR = 2.82, past-week dietary restriction OR = 2.65, binge-eating intentions OR = 2.11, and dietary restriction intentions OR = 2.58; 38.3% of the sample screened at risk.
- Female gender, low impulse regulation, and high body dissatisfaction were associated with problematic eating behaviors; for example, women had higher odds of past-week binge eating (OR = 1.40) and dietary restriction (OR = 1.79), and body dissatisfaction was associated with past-week restriction (OR = 1.80).
- COVID-19-related stress itself was not associated with problematic eating outcomes; COVID-19 media exposure was associated with binge-eating intentions (OR = 1.20, 95% CI 1.11–1.31), while the paper’s abstract reports an association with past-week restriction but Table 2 shows that association was not significant (OR = 1.05, 95% CI 0.98–1.12, p = 0.153).
Methods
- Online questionnaire completed by 5,738 undergraduate students from four French universities, collected March 26–27, 2020, approximately 10 days after the March 17 lockdown began; response rate was 7.9%.
- Measures included demographics, HADS depression/anxiety, PSS-10 perceived stress, SPS-10 social provisions, EDI-2 body dissatisfaction and impulse regulation, SCOFF eating disorder screen, IBSS appearance ideals, lockdown/COVID-19 stress, media exposure, and four single-item eating outcomes (past-week binge eating and restriction; intentions to binge and restrict over next 15 days).
- Four multilevel mixed-effects logistic regressions with a random university intercept; predictors were standardized to z-scores, significance set at 0.05, and listwise deletion removed 235 observations.
Limitations
- The paper states: cross-sectional data limit causal inference; the four main eating outcomes were single items developed for this study; physical activity restriction due to lockdown was not assessed; the sample was self-selected and not necessarily representative, with women over-represented (74.6% vs. about 55% in the French female student population).
- Evident from the text: the study relies on self-reported height and weight for BMI and self-reported eating behaviors, and the abstract’s statement about media exposure and past-week restriction is not supported by the reported Table 2 result.
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Claims the paper makes
0 of 5 cited sources checked · 0 supported · 0 flagged
- Findingown data
Students with obesity reported more binge eating episodes in the past 7 days than normal weight students.
“students with overweight (OR = 1.26, 95% CI [1.08, 1.49], P = 0.004), and students with obesity (OR = 1.43, 95% CI [0.89–2.31], P = 0.002) reported more binge eating episodes in the past 7 days.”
Quote in the paperSubstantial claim- Rests on an assumption: Self-reported height and weight accurately reflect body mass index.
- Rests on an assumption: The single-item self-report questions validly assess binge eating and dietary restriction.
- Findingown data
Greater perceived stress as assessed by the PSS-10 was associated with a higher likelihood of binge eating over the past 7 days.
“greater perceived stress as assessed by the PSS-10 (OR = 1.24, 95% CI [1.14, 1.35], P < 0.001) and higher levels of stress related to the lockdown (OR = 1.12, 95% CI [1.04, 1.21], P < 0.004) were associated with a higher likelihood of reporting binge eating over the past 7 days.”
Quote in the paperSubstantial claim- Rests on an assumption: The single-item self-report questions validly assess binge eating and dietary restriction.
- Findingown data
Stress related to lockdown was associated with greater likelihood of dietary restriction over the past 7 days among French undergraduate students.
“Stress related to the lockdown was associated with greater likelihood of binge eating and dietary restriction over the past week and intentions to binge eat and restrict over the next 15 days.”
- Also stated in: § Multilevel mixed-effects logistic regression analysis to identify variables associated with binge eating and dietary restriction in the past 7 days (Table 2) · plain
“Higher stress related to the lockdown (OR = 1.17, 95% CI [1.08, 1.26], P < 0.001) was also associated with a higher likelihood of dietary restriction over the past 7 days.”
Quote in the paperSubstantial claim- Rests on an assumption: The single-item self-report questions validly assess binge eating and dietary restriction.
- Rests on an assumption: The lockdown-related stress score, computed as the sum of 13 questions, validly measures stress related to lockdown.
- Also stated in: § Multilevel mixed-effects logistic regression analysis to identify variables associated with binge eating and dietary restriction in the past 7 days (Table 2) · plain
- Findingown data
Stress related to lockdown was associated with greater likelihood of intentions to binge eat over the next 15 days among French undergraduate students.
“Stress related to the lockdown was associated with greater likelihood of binge eating and dietary restriction over the past week and intentions to binge eat and restrict over the next 15 days.”
- Also stated in: § Multilevel mixed-effects logistic regression analysis to identify variables associated with anticipated binge eating and dietary restrictive behavior in the next 15 days (Table 3)1 · plain
“1.33 | 1.19–1.48 | <0.001 | Stressors: related to lockdown | 1.12 | 1.03–1.21 | 0.005”
Quote in the paperSubstantial claim- Rests on an assumption: The single-item self-report questions validly assess binge eating and dietary restriction.
- Rests on an assumption: The lockdown-related stress score, computed as the sum of 13 questions, validly measures stress related to lockdown.
- Also stated in: § Multilevel mixed-effects logistic regression analysis to identify variables associated with anticipated binge eating and dietary restrictive behavior in the next 15 days (Table 3)1 · plain
- Findingown data
Underweight students reported fewer binge eating episodes in the past 7 days than normal weight students.
“those with underweight reported fewer binge eating episodes in the past 7 days than students with normal weight (OR = 0.81, 95% CI [0.66–0.99], P = 0.040)”
Quote in the paperNot a substantial claim- Rests on an assumption: Self-reported height and weight accurately reflect body mass index.
- Rests on an assumption: The single-item self-report questions validly assess binge eating and dietary restriction.
- Findingown data
Binge eating over the past 7 days was more likely in women than in men.
“binge eating episodes during the last 7 days were significantly higher for women than for men (Odds-Ratios (OR) = 1.40, 95% confidence interval [CI] [1.20, 1.63], P < 0.001).”
Quote in the paperSubstantial claim- Rests on an assumption: The single-item self-report questions validly assess binge eating and dietary restriction.
- Findingown data
Overweight students reported more binge eating episodes in the past 7 days than normal weight students.
“students with overweight (OR = 1.26, 95% CI [1.08, 1.49], P = 0.004), and students with obesity (OR = 1.43, 95% CI [0.89–2.31], P = 0.002) reported more binge eating episodes in the past 7 days.”
Quote in the paperSubstantial claim- Rests on an assumption: Self-reported height and weight accurately reflect body mass index.
- Rests on an assumption: The single-item self-report questions validly assess binge eating and dietary restriction.
- Findingown data
Higher body dissatisfaction was associated with a higher likelihood of binge eating over the past 7 days.
“Higher body dissatisfaction (OR = 1.08, 95% CI [1.01, 1.15], P = 0.029) and low impulse regulation (OR = 1.10, 95% CI [1.02, 1.18], P = 0.009) were also associated with a higher likelihood of reporting binge eating over the past 7 days.”
Quote in the paperSubstantial claim- Rests on an assumption: The single-item self-report questions validly assess binge eating and dietary restriction.
- Findingown data
Greater exposure to COVID-19-related media was associated with increased eating restriction over the past week.
“Greater exposure to COVID-19-related media was associated with increased eating restriction over the past week.”
Quote in the paperSubstantial claim- Rests on an assumption: The single-item self-report questions validly assess binge eating and dietary restriction.
- Findingown data
Greater depression was associated with a higher likelihood of binge eating over the past 7 days.
“a greater level of anxiety (OR = 1.09, 95% CI [1.00, 1.18], P = 0.049) and depression (OR = 1.14, 95% CI [1.06, 1.23], P < 0.001) was associated with a higher likelihood of reporting binge eating over the past 7 days.”
Quote in the paperSubstantial claim- Rests on an assumption: The single-item self-report questions validly assess binge eating and dietary restriction.
- Findingown data
Greater anxiety was associated with a higher likelihood of binge eating over the past 7 days.
“a greater level of anxiety (OR = 1.09, 95% CI [1.00, 1.18], P = 0.049) and depression (OR = 1.14, 95% CI [1.06, 1.23], P < 0.001) was associated with a higher likelihood of reporting binge eating over the past 7 days.”
Quote in the paperSubstantial claim- Rests on an assumption: The single-item self-report questions validly assess binge eating and dietary restriction.
- Findingown data
Stress related to lockdown was associated with greater likelihood of binge eating over the past 7 days among French undergraduate students.
“Stress related to the lockdown was associated with greater likelihood of binge eating and dietary restriction over the past week and intentions to binge eat and restrict over the next 15 days.”
- Also stated in: § Multilevel mixed-effects logistic regression analysis to identify variables associated with binge eating and dietary restriction in the past 7 days (Table 2) · plain
“higher levels of stress related to the lockdown (OR = 1.12, 95% CI [1.04, 1.21], P < 0.004) were associated with a higher likelihood of reporting binge eating over the past 7 days.”
Quote in the paperSubstantial claim- Rests on an assumption: The single-item self-report questions validly assess binge eating and dietary restriction.
- Rests on an assumption: The lockdown-related stress score, computed as the sum of 13 questions, validly measures stress related to lockdown.
- Also stated in: § Multilevel mixed-effects logistic regression analysis to identify variables associated with binge eating and dietary restriction in the past 7 days (Table 2) · plain
- Findingown data
Participants with a probable eating disorder (SCOFF score ≥2) were more likely to report higher severity of binge eating over the past 7 days.
“participants whose scores indicated a probable eating disorder (SCOFF score ≥2) were more likely to report higher severity of binge eating (OR = 2.82, 95% CI [2.48, 3.20], P < 0.001).”
Quote in the paperSubstantial claim- Rests on an assumption: The single-item self-report questions validly assess binge eating and dietary restriction.
- Findingown data
Stress related to lockdown was associated with greater likelihood of intentions to restrict eating over the next 15 days among French undergraduate students.
“Stress related to the lockdown was associated with greater likelihood of binge eating and dietary restriction over the past week and intentions to binge eat and restrict over the next 15 days.”
- Also stated in: § Multilevel mixed-effects logistic regression analysis to identify variables associated with anticipated binge eating and dietary restrictive behavior in the next 15 days (Table 3)1 · plain
“1.33 | 1.19–1.48 | <0.001 | Stressors: related to lockdown | 1.12 | 1.03–1.21 | 0.005”
Quote in the paperSubstantial claim- Rests on an assumption: The single-item self-report questions validly assess binge eating and dietary restriction.
- Rests on an assumption: The lockdown-related stress score, computed as the sum of 13 questions, validly measures stress related to lockdown.
- Also stated in: § Multilevel mixed-effects logistic regression analysis to identify variables associated with anticipated binge eating and dietary restrictive behavior in the next 15 days (Table 3)1 · plain
- Findingown data
Gender was associated with a higher likelihood of dietary restriction intentions over the next 15 days.
“1.09 | 0.88–1.36 | 0.434 | Gender | 1.48 | 1.27–1.73 | <0.001”
Quote in the paperNot a substantial claim- Rests on an assumption: The single-item self-report questions validly assess binge eating and dietary restriction.
- Findingown data
Participants with a higher eating disorder risk were more likely to report higher severity of dietary restriction over the past 7 days.
“Participants with a higher eating disorder risk were more likely to report higher severity of dietary restriction (OR = 2.65, 95% CI [2.32, 3.02], P < 0.001).”
Quote in the paperSubstantial claim- Rests on an assumption: The single-item self-report questions validly assess binge eating and dietary restriction.
- Findingown data
Compared to normal weight students, students with obesity reported more restriction during the past 7 days.
“Regarding BMI, compared to normal weight students, students with underweight (OR = 0.38, 95% CI [0.30–0.47], P < 0.001) and students with obesity (OR = 0.45, 95% CI [0.28–0.73], P = 0.001) reported more restriction during the past 7 days.”
Quote in the paperNot a substantial claim- Rests on an assumption: Self-reported height and weight accurately reflect body mass index.
- Rests on an assumption: The single-item self-report questions validly assess binge eating and dietary restriction.
- Findingown data
Higher age was associated with a higher likelihood of binge eating intention over the next 2 weeks (OR = 1.15, 95% CI [1.06, 1.25], P = 0.001).
“Regarding sociodemographic factors, higher age (OR = 1.15, 95% CI [1.06, 1.25], P = 0.001) was associated with a higher likelihood of binge eating intention over the course of the next 2 weeks.”
Quote in the paperSubstantial claim - Findingown data
Higher levels of stress related to the lockdown were associated with a higher likelihood of binge eating intentions over the next 2 weeks (OR = 1.33, 95% CI [1.19, 1.48], P < 0.001).
“Moreover, higher levels of stress related to the lockdown (OR = 1.33, 95% CI [1.19, 1.48], P < 0.001) and greater COVID-19-related media exposure (OR= 1.20, 95% CI [1.11, 1.31], P < 0.001) were also associated with a higher likelihood of binge eating intentions over the course of the next 2 weeks.”
Quote in the paperSubstantial claim - Findingown data
Compared to normal weight, obesity was associated with a lower likelihood of dietary restriction intentions over the next 15 days.
“1.62 | 0.91–2.87 | 0.101 | Obesity –- Normal | 0.31 | 0.19–0.50 | <0.001”
Quote in the paperNot a substantial claim- Rests on an assumption: Self-reported height and weight accurately reflect body mass index.
- Rests on an assumption: The single-item self-report questions validly assess binge eating and dietary restriction.
- Findingown data
Higher scores on the HADS depression subscale were associated with a higher likelihood of binge eating intentions over the next 2 weeks (OR = 1.40, 95% CI [1.26, 1.54], P < 0.001).
“Higher scores on the HADS depression subscale were associated with a higher likelihood of binge eating intentions over the course of the next 2 weeks (OR = 1.40, 95% CI [1.26, 1.54], P < 0.001).”
Quote in the paperSubstantial claim - Findingown data
Dietary restriction during the last 7 days was more likely in younger students.
“Dietary restriction during the last 7 days was significantly higher for women (OR = 1.79, 95% CI [1.53, 2.09], P < 0.001) and for younger students (OR = 0.93, 95% CI [0.87, 0.99], P = 0.036).”
Quote in the paperNot a substantial claim- Rests on an assumption: The single-item self-report questions validly assess binge eating and dietary restriction.
- Findingown data
Age was associated with a lower likelihood of dietary restriction intentions over the next 15 days.
“1.15 | 1.06–1.25 | 0.001 | Age | 0.93 | 0.87–0.99 | 0.027”
Quote in the paperNot a substantial claim- Rests on an assumption: The single-item self-report questions validly assess binge eating and dietary restriction.
- Findingown data
Low impulse regulation was associated with a higher likelihood of binge eating intentions over the next 2 weeks (OR = 1.23, 95% CI [1.13, 1.33], P < 0.001).
“Low impulse regulation (OR = 1.23, 95% CI [1.13, 1.33], P < 0.001) and lower body dissatisfaction (OR = 0.84, 95% CI [0.76, 0.93], P < 0.001) were also associated with a higher likelihood of binge eating intentions over the course of the next 2 weeks.”
Quote in the paperSubstantial claim - Findingown data
Having a scholarship was associated with less dietary restriction over the past 7 days.
“Having a scholarship was associated with less dietary restriction (OR = 0.77, 95% CI [0.68, 0.88], P < 0.001).”
Quote in the paperNot a substantial claim- Rests on an assumption: The single-item self-report questions validly assess binge eating and dietary restriction.
- Findingown data
Compared to those with normal weight, those with underweight reported more intention to engage in binge eating (OR = 1.31, 95% CI [1.00, 1.71], P = 0.050).
“Compared to those with normal weight, those with underweight reported more intention to engage in binge eating (OR = 1.31, 95% CI [1.00, 1.71], P = 0.050).”
Quote in the paperNot a substantial claim - Findingown data
Greater anxiety was associated with a higher likelihood of dietary restriction over the past 7 days.
“a greater level of anxiety (OR = 1.11, 95% CI [1.02, 1.21], P = 0.018) was associated with a higher likelihood of dietary restriction over the past 7 days.”
Quote in the paperSubstantial claim- Rests on an assumption: The single-item self-report questions validly assess binge eating and dietary restriction.
- Findingown data
Age was associated with a higher likelihood of binge eating intentions over the next 15 days.
“1.15 | 1.06–1.25 | 0.001 | Age | 0.93 | 0.87–0.99 | 0.027”
Quote in the paperNot a substantial claim- Rests on an assumption: The single-item self-report questions validly assess binge eating and dietary restriction.
- Findingown data
Greater endorsement of appearance ideals (IBSS) was associated with a higher likelihood of dietary restriction over the past 7 days.
“Higher body dissatisfaction (OR = 1.80, 95% CI [1.66, 1.94], P < 0.001) and greater endorsement of appearance ideals (IBSS) (OR = 1.16, 95% CI [1.09, 1.24], P < 0.001) were also associated with a higher likelihood of dietary restriction over the past 7 days.”
Quote in the paperSubstantial claim- Rests on an assumption: The single-item self-report questions validly assess binge eating and dietary restriction.
- Findingown data
Higher body dissatisfaction was associated with a higher likelihood of dietary restriction over the past 7 days.
“Higher body dissatisfaction (OR = 1.80, 95% CI [1.66, 1.94], P < 0.001) and greater endorsement of appearance ideals (IBSS) (OR = 1.16, 95% CI [1.09, 1.24], P < 0.001) were also associated with a higher likelihood of dietary restriction over the past 7 days.”
Quote in the paperSubstantial claim- Rests on an assumption: The single-item self-report questions validly assess binge eating and dietary restriction.
- Findingown data
Compared to normal weight students, underweight students reported more restriction during the past 7 days.
“Regarding BMI, compared to normal weight students, students with underweight (OR = 0.38, 95% CI [0.30–0.47], P < 0.001) and students with obesity (OR = 0.45, 95% CI [0.28–0.73], P = 0.001) reported more restriction during the past 7 days.”
Quote in the paperNot a substantial claim- Rests on an assumption: Self-reported height and weight accurately reflect body mass index.
- Rests on an assumption: The single-item self-report questions validly assess binge eating and dietary restriction.
- Findingown data
Dietary restriction during the last 7 days was more likely in women than in men.
“Dietary restriction during the last 7 days was significantly higher for women (OR = 1.79, 95% CI [1.53, 2.09], P < 0.001) and for younger students (OR = 0.93, 95% CI [0.87, 0.99], P = 0.036).”
Quote in the paperNot a substantial claim- Rests on an assumption: The single-item self-report questions validly assess binge eating and dietary restriction.
- Findingown data
Participants considered at risk for eating disorders (SCOFF score ≥2) were more likely to report higher binge eating intentions over the next 2 weeks (OR = 2.11, 95% CI [1.75, 2.54], P < 0.001).
“Participants considered at risk for eating disorders (SCOFF score ≥2) were more likely to report higher binge eating intentions over the course of the next 2 weeks (OR = 2.11, 95% CI [1.75, 2.54], P < 0.001).”
Quote in the paperSubstantial claim - Findingown data
Compared to normal weight, underweight was associated with a lower likelihood of dietary restriction intentions over the next 15 days.
“1.31 | 1.00–1.71 | 0.050 | Underweight- Normal | 0.29 | 0.23–0.38 | <0.001”
Quote in the paperNot a substantial claim- Rests on an assumption: Self-reported height and weight accurately reflect body mass index.
- Rests on an assumption: The single-item self-report questions validly assess binge eating and dietary restriction.
- Findingown data
Greater COVID-19-related media exposure was associated with a higher likelihood of binge eating intentions over the next 2 weeks (OR = 1.20, 95% CI [1.11, 1.31], P < 0.001).
“Moreover, higher levels of stress related to the lockdown (OR = 1.33, 95% CI [1.19, 1.48], P < 0.001) and greater COVID-19-related media exposure (OR= 1.20, 95% CI [1.11, 1.31], P < 0.001) were also associated with a higher likelihood of binge eating intentions over the course of the next 2 weeks.”
Quote in the paperSubstantial claim - Findingown data
Low impulse regulation was associated with a higher likelihood of binge eating over the past 7 days.
“Higher body dissatisfaction (OR = 1.08, 95% CI [1.01, 1.15], P = 0.029) and low impulse regulation (OR = 1.10, 95% CI [1.02, 1.18], P = 0.009) were also associated with a higher likelihood of reporting binge eating over the past 7 days.”
Quote in the paperSubstantial claim- Rests on an assumption: The single-item self-report questions validly assess binge eating and dietary restriction.
- Findingown data
Depression was associated with a higher likelihood of binge eating intentions over the next 15 days.
“1.40 | 1.26–1.54 | <0.001 | HADS Depression subscale | 0.95 | 0.88–1.03 | 0.242”
Quote in the paperSubstantial claim- Rests on an assumption: The single-item self-report questions validly assess binge eating and dietary restriction.
- Findingown data
Lower body dissatisfaction was associated with a higher likelihood of binge eating intentions over the next 2 weeks (OR = 0.84, 95% CI [0.76, 0.93], P < 0.001).
“Low impulse regulation (OR = 1.23, 95% CI [1.13, 1.33], P < 0.001) and lower body dissatisfaction (OR = 0.84, 95% CI [0.76, 0.93], P < 0.001) were also associated with a higher likelihood of binge eating intentions over the course of the next 2 weeks.”
Quote in the paperSubstantial claim - Findingown data
Concerns related to the COVID-19 pandemic itself were not associated with problematic eating behaviors.
“Yet, concerns related to the COVID-19 pandemic itself were not associated with problematic eating behaviors.”
Quote in the paperSubstantial claim - Findingown data
Endorsement of appearance ideals was associated with higher intentions to engage in dietary restriction over the next 2 weeks (OR = 1.19, 95% CI [1.11, 1.26], P < 0.001).
“Higher levels of body dissatisfaction EDI-2 (OR = 2.05, 95% CI [1.89, 2.25], P < 0.001), low impulse regulation (OR = 1.12, 95% CI [1.04, 1.20], P = 0.002), and endorsement of appearance ideals (OR = 1.19, 95% CI [1.11, 1.26], P < 0.001) were associated with higher intentions to engage in dietary restriction over the next 2 weeks.”
Quote in the paperSubstantial claim - Findingown data
Participants considered at risk for eating disorders (SCOFF score ≥2) were more likely to report higher severity of intended dietary restriction (OR = 2.58, 95% CI [2.26, 2.95], P < 0.001).
“Participants considered at risk for eating disorders (SCOFF score ≥2) were more likely to report higher severity of intended dietary restriction (OR = 2.58, 95% CI [2.26, 2.95], P < 0.001).”
Quote in the paperSubstantial claim - Findingcitation
The strongest predictor of dietary restriction and/or a binge eating episode (in the last 7 days or intention for the next 2 weeks) was concurrent symptoms of eating disorders (as defined by a SCOFF score of ≥2).
“In addition, and consistent with previous studies (Tavolacci et al., 2015), the strongest predictor of dietary restriction and/or a binge eating episode (in the last 7 days or intention for the next 2 weeks) was concurrent symptoms of eating disorders (as defined by a SCOFF score of ≥2).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Tavolacci et al., 2015
Not checked in the free run.
- Findingown data
Intention to engage in dietary restriction over the next 2 weeks was significantly higher for younger age (OR = 0.93, 95% CI [0.87-0.99], P = 0.0427).
“Intention to engage in dietary restriction over the next 2 weeks was significantly higher for women (OR = 1.48, 95% CI [1.27–1.73], P < 0.001), younger age (OR = 0.93, 95% CI [0.87–0.99], P = 0.0427).”
Quote in the paperNot a substantial claim - Findingown data
Low impulse regulation was associated with higher intentions to engage in dietary restriction over the next 2 weeks (OR = 1.12, 95% CI [1.04, 1.20], P = 0.002).
“Higher levels of body dissatisfaction EDI-2 (OR = 2.05, 95% CI [1.89, 2.25], P < 0.001), low impulse regulation (OR = 1.12, 95% CI [1.04, 1.20], P = 0.002), and endorsement of appearance ideals (OR = 1.19, 95% CI [1.11, 1.26], P < 0.001) were associated with higher intentions to engage in dietary restriction over the next 2 weeks.”
Quote in the paperSubstantial claim - Findingown data
In the current study, a large proportion of individuals at risk for eating disorder symptoms (38.3% of the sample) was identified.
“Notably, in the current study, we identified a large proportion of individuals at risk for eating disorder symptoms (38.3% of the sample).”
Quote in the paperSubstantial claim - Findingown data
Intention to engage in dietary restriction over the next 2 weeks was significantly higher for women (OR = 1.48, 95% CI [1.27-1.73], P < 0.001).
“Intention to engage in dietary restriction over the next 2 weeks was significantly higher for women (OR = 1.48, 95% CI [1.27–1.73], P < 0.001), younger age (OR = 0.93, 95% CI [0.87–0.99], P = 0.0427).”
Quote in the paperNot a substantial claim - Findingown data
Compared to normal weight students, those with underweight or with obesity were more likely to report intention to restrict (underweight OR = 0.29, 95% CI [0.23-0.38], P < 0.001; obesity OR = 0.31, 95% CI [0.19-1.01], P < 0.001).
“Regarding BMI, compared to with normal weight students, those with underweight (OR = 0.29, 95% CI [0.23–0.38], P < 0.001), or with obesity (OR = 0.31, 95% CI [0.19–1.01], P < 0.001) were more likely to report intention to restrict.”
Quote in the paperSubstantial claim - Findingown data
Financial concerns were associated with higher levels of problematic eating behaviors.
“Similarly, we found that financial concerns were also associated with higher levels of problematic eating behaviors, suggesting that these concrete economic aspects may play a pivotal role in the onset of psychopathological symptoms, including problematic eating behaviors.”
Quote in the paperSubstantial claim - Findingown data
Stress related to the lockdown and spatial distancing was associated with a greater likelihood of reporting both binge eating and dietary restriction during the past week, which corresponds to the first week of the strict lockdown measures in France.
“Our results suggest, first, that stress related to the lockdown and spatial distancing was associated with a greater likelihood of reporting both binge eating and dietary restriction during the past week, which corresponds to the first week of the implementation of the strict lockdown measures in France.”
Quote in the paperSubstantial claim- Rests on an assumption: The past week assessed corresponds to the first week of the strict lockdown measures in France.
- Findingown data
Higher levels of body dissatisfaction EDI-2 were associated with higher intentions to engage in dietary restriction over the next 2 weeks (OR = 2.05, 95% CI [1.89, 2.25], P < 0.001).
“Higher levels of body dissatisfaction EDI-2 (OR = 2.05, 95% CI [1.89, 2.25], P < 0.001), low impulse regulation (OR = 1.12, 95% CI [1.04, 1.20], P = 0.002), and endorsement of appearance ideals (OR = 1.19, 95% CI [1.11, 1.26], P < 0.001) were associated with higher intentions to engage in dietary restriction over the next 2 weeks.”
Quote in the paperSubstantial claim - Findingown data
Higher levels of stress related to the lockdown were associated with higher intentions to engage in dietary restriction over the next 2 weeks (OR = 1.12, 95% CI [1.03, 1.21], P = 0.005).
“Similar to the pattern of findings for engaging in restriction over the past 7 days, higher levels of stress related to the lockdown were associated with higher intentions to engage in dietary restriction over the next 2 weeks (OR = 1.12, 95% CI [1.03, 1.21], P = 0.005).”
Quote in the paperSubstantial claim - Study design and conductown data
The internal reliability of all scales was acceptable.
“The internal reliability of all scales was acceptable and can be found in Table 1.”
Quote in the paperNot a substantial claim - Premisecitation
Restrictions placed on individuals' access to regular physical activity is liable to promote shape and weight concerns and related problematic eating behaviors.
“Thus, the restrictions placed on individuals' access to regular physical activity is liable to promote shape and weight concerns and related problematic eating behaviors (Haines, Kleinman, Rifas-Shiman, Field, & Austin, 2010).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Haines, Kleinman, Rifas-Shiman, Field, & Austin, 2010
Not checked in the free run.
- Interpretationown data
Body dissatisfaction and adoption of the thin ideal play different roles in the onset and perpetuation of problematic eating patterns.
“This result suggests that body dissatisfaction and adoption of the thin ideal play different roles in the onset and perpetuation of problematic eating patterns.”
Quote in the paperSubstantial claim - Study design and conductnone given
Potentially important confounding variables such as restriction of physical activities due to the lockdown were not assessed.
“Third, potentially important confounding variables such as restriction of physical activities due to the lockdown were not assessed.”
Quote in the paperNot a substantial claim - Interpretationown data
Individuals with pre-existing eating concerns are at increased risk for developing problematic eating behaviors during an adverse event, such as the COVID-19 pandemic.
“Thus, unsurprisingly, individuals with pre-existing eating concerns are at increased risk for developing problematic eating behaviors during an adverse event, such as the COVID-19 pandemic.”
Quote in the paperSubstantial claim- Rests on an assumption: The COVID-19 pandemic is an adverse event.
- Study design and conductnone given
The cross-sectional nature of the data limits the extent to which causal inferences may be made.
“First, the cross-sectional nature of the data limits the extent to which causal inferences may be made.”
Quote in the paperSubstantial claim
- May combine two claims. 7
- Classified as probably not a substantial claim. 10
May combine two claims.
Findingown dataMedia exposure to COVID-19-related information is significantly associated with intent to engage in binge eating, but not with restrictive behavior.
“Second, our results revealed that media exposure to COVID-19-related information is significantly associated with intent to engage in binge eating, but not with restrictive behavior.”
Quote in the paperSubstantial claimMay combine two claims.
FindingcitationWeight status was associated with problematic eating behavior; problematic eating behavior was more pronounced among the groups at either end of the weight spectrum compared to those whose BMI lay towards the middle of the distribution.
“In the same vein, we also noted that weight status was associated with problematic eating behavior. Problematic eating behavior was more pronounced among the groups at either end of the weight spectrum compared to those whose BMI lay towards the middle of the distribution.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductcitationParticipants with a score of 2 or higher on the SCOFF were considered at risk of presenting eating disorder symptoms, consistent with the validated cutoff.
“Consistent with the validated cutoff, participants with a score of 2 or higher on the SCOFF were considered at risk of presenting eating disorder symptoms (Garcia et al., 2010).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Garcia et al., 2010
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataMissing data were handled by listwise deletion, removing 235 observations.
“All missing data were handled by using a listwise method (i.e., all the data for a specific participant were removed if data were missing on one of the variables). Two-hundred thirty-five observations were removed from the analyses.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenAll participants provided informed consent.
“The study was approved by the Ethics Committee of the University of Clermont Auvergne and all participants provided informed consent.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe study was approved by the Ethics Committee of the University of Clermont Auvergne.
“The study was approved by the Ethics Committee of the University of Clermont Auvergne and all participants provided informed consent.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataNo variance inflation factor (VIF) greater than 10 was observed for the four models.
“We did not observe a VIF >10 (all the VIFs for the four models were between 1 and 2.15).”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductown dataAll four models included a random university effect (random intercept) to control for unobserved university heterogeneity.
“All four models included a random university effect (i.e., random intercept) to control for unobserved university heterogeneity.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenAll participants responded anonymously.
“All participants responded anonymously.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Interpretationown dataThis response rate reflects that the particular context and the associated stress and negative affect probably promote a heightened preoccupation with eating.
“This response rate reflects that the particular context and the associated stress and negative affect probably promote a heightened preoccupation with eating.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataBody dissatisfaction and poor emotion regulation emerged as consistent predictors of higher likelihood of engaging in problematic eating behaviors.
“Two other factors emerged as consistent predictors of the higher likelihood of engaging in problematic eating behaviors in our findings: body dissatisfaction and poor emotion regulation.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationBody dissatisfaction is a well-documented risk factor for problematic eating behaviors.
“Body dissatisfaction is a well-documented risk factor for problematic eating behaviors (Stice, Marti, & Durant, 2011).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Stice, Marti, & Durant, 2011
Not checked in the free run.
May combine two claims.
Interpretationown dataThe study results showed a strong relationship between problematic eating behaviors and stress related to lockdown, a relationship that was associated with exposure to COVID-19-related media coverage.
“Our results showed a strong relationship between problematic eating behaviors and stress related to lockdown, a relationship that was associated with exposure to COVID-19-related media coverage.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe main outcomes (the four questions regarding problematic eating behaviors) were assessed by using single items developed in the context of the current study.
“Second, our main outcomes (the four questions regarding problematic eating behaviors) were assessed by using single items developed in the context of the current study.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataThe study includes a large sample, but it consists of self-selected participants and is thus not necessarily representative of the undergraduate student population in France.
“Fourth, even though our study includes a large sample, it consists of self-selected participants and is thus not necessarily representative of the undergraduate student population in France.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductcitationWomen are over-represented in the sample (74.6% female), as average proportion of women in the female student population is around 55%.
“In particular, women are over-represented in our sample (74.6% female), as average proportion of women in the female student population is around 55% (Kabla-Langlois, 2020).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Kabla-Langlois, 2020
Not checked in the free run.
May combine two claims.
Interpretationown dataStress related to the lockdown and social isolation might increase the risk of problematic eating behaviors and this might be particularly the case for those with pre-existing eating disorder symptoms and concerns.
“Our findings suggest that stress related to the lockdown and social isolation might increase the risk of problematic eating behaviors and that this might be particularly the case for those with pre-existing eating disorder symptoms and concerns.”
Quote in the paperSubstantial claim
The paper relies on this without support.
The effects of lockdown measures and the COVID-19 pandemic on problematic eating behaviors and eating disorder have not been evaluated to date.
“To date, the effects of lockdown measures and the COVID-19 pandemic on problematic eating behaviors and eating disorder have not been evaluated.”
The paper relies on this without support.
Self-reported height and weight accurately reflect body mass index.
“body mass index (BMI) (from self-reported height and weight)”
The paper relies on this without support.
The single-item self-report questions validly assess binge eating and dietary restriction.
“Two additional self-reported indices of problematic eating behaviors were assessed: binge eating and dietary restriction during the past 7 days through two questions: “In the past week, have you experienced any episodes of binge eating (large food intake over a short period of time)?” and “In the past week, have you voluntarily restricted food intake due to weight or body shape concerns?””
The paper relies on this without support.
The lockdown-related stress score, computed as the sum of 13 questions, validly measures stress related to lockdown.
“Lockdown-related stress was assessed through the sum of the scores for 13 questions related to the new lifestyle imposed by the lockdown (work from home, impact on daily income, impact on social activities, etc.).”
The paper relies on this without support.
The sample of French undergraduate students who completed the survey is representative of French undergraduate students.
“A sample of undergraduate students (N = 5,738) completed an online questionnaire 7 days after lockdown measures were introduced.”
The paper relies on this without support.
The past week assessed corresponds to the first week of the strict lockdown measures in France.
“which corresponds to the first week of the implementation of the strict lockdown measures in France.”
The paper relies on this without support.
The COVID-19 pandemic is an adverse event.
“during an adverse event, such as the COVID-19 pandemic.”
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?
In Flaudias et al. (2020) French undergraduate students (n = 5,738), increased lockdown-related stress, subjective suffering due to forced social distancing, and daily routine disruptions were associated with greater likelihood of reporting both binge eating and dietary restrictions.
“The increased stress related to lockdown, the subjective suffering due to forced social distancing, and the daily routine disruptions were associated with a greater likelihood of reporting both binge eating and dietary restrictions.”
From Eating Disorders Spectrum During the COVID Pandemic: A Systematic Review (2021) · cites this paper as Flaudias et al. (2020)
In Flaudias et al. (2020), exposure to COVID-19 media news was associated with more severe binge eating behaviors.
“Moreover, the exposure to COVID-19 media news was associated with more severe binge eating behaviors.”
From Eating Disorders Spectrum During the COVID Pandemic: A Systematic Review (2021) · cites this paper as Flaudias et al. (2020)
In Flaudias et al. (2020), preexisting ED habits were risk factors for the development of problematic eating behaviors during the COVID-19 pandemic.
“As expected, preexisting ED habits were the risk factors for the development of problematic eating behaviors during the COVID-19 pandemic.”
From Eating Disorders Spectrum During the COVID Pandemic: A Systematic Review (2021) · cites this paper as Flaudias et al. (2020)
Uncertainty and anxiety due to the pandemic contributed to an increase in subjective discomfort and raised the risk of compulsory eating as a strategy to cope with stress.
“We found that uncertainty and anxiety due to pandemic contributed to an increase in subjective discomfort and raised the risk of compulsory eating as a strategy to cope with stress (Flaudias et al., 2020; Puhl et al., 2020).”
From Eating Disorders Spectrum During the COVID Pandemic: A Systematic Review (2021) · cites this paper as Flaudias et al., 2020
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.
Past-week restriction direction is reversed for underweight and obesity
MajorThe narrative says both groups reported more restriction than normal-weight students. Table 2 reports odds ratios below 1 for both groups, indicating lower odds.
“students with underweight (OR = 0.38, 95% CI [0.30–0.47], P < 0.001) and students with obesity (OR = 0.45, 95% CI [0.28–0.73], P = 0.001) reported more restriction during the past 7 days.”
“| 0.81 | 0.66–0.99 | 0.040 | Underweight – Normal | 0.38 | 0.30–0.47 | <0.001 |”
Discussion overlooks a significant past-week appearance-ideals association
MajorThe discussion says appearance-ideal endorsement was related only to intentions, not past-week behaviors. Table 2 reports a significant association with past-week dietary restriction (OR 1.16, P < 0.001).
“the internalization of appearance standards related to thinness (as measured by the IBSS) emerged only as related to the intention to engage with problematic eating behaviors over the next 2 weeks, not with past-week problematic eating behaviors.”
“| 1.05 | 0.99–1.12 | 0.109 | IBSS | 1.16 | 1.09–1.24 | <0.001 |”
Intended restriction direction is reversed for underweight and obesity
MajorThe narrative says students with underweight or obesity were more likely than normal-weight students to intend to restrict. Their reported odds ratios, confirmed in Table 3, are 0.29 and 0.31-both below 1.
“those with underweight (OR = 0.29, 95% CI [0.23–0.38], P < 0.001), or with obesity (OR = 0.31, 95% CI [0.19–1.01], P < 0.001) were more likely to report intention to restrict.”
“| 1.31 | 1.00–1.71 | 0.050 | Underweight- Normal | 0.29 | 0.23–0.38 | <0.001 |”
Obesity is described as significantly associated with past-week binge eating
MajorThe narrative reports P = 0.002 and says students with obesity reported more binge eating. Table 2 gives P = 0.141 for that comparison, with a confidence interval spanning 1.
“students with obesity (OR = 1.43, 95% CI [0.89–2.31], P = 0.002) reported more binge eating episodes in the past 7 days.”
“| 1.43 | 0.89–2.31 | 0.141 | Obesity – Normal | 0.45 | 0.28–0.73 | 0.001 |”
Abstract reports a past-week media association absent from the results
MajorThe abstract says greater COVID-19-related media exposure was associated with increased eating restriction over the past week. Table 2 reports a nonsignificant association for past-week dietary restriction (OR 1.05, P = 0.153).
“Greater exposure to COVID-19-related media was associated with increased eating restriction over the past week.”
“| 1.02 | 0.96–1.08 | 0.548 | Media exposure to COVID-19 | 1.05 | 0.98–1.12 | 0.153 |”
Obesity confidence interval for intended restriction differs from Table 3
MinorThe narrative gives an upper confidence limit of 1.01 for the obesity comparison, whereas Table 3 gives 0.50.
“OR = 0.31, 95% CI [0.19–1.01], P < 0.001”
“| 1.62 | 0.91–2.87 | 0.101 | Obesity –- Normal | 0.31 | 0.19–0.50 | <0.001 |”
Collection is described as both seven and approximately ten days after lockdown
MinorThe abstract says the questionnaire was completed seven days after lockdown measures began. The methods date collection to March 26-27, approximately ten days after the March 17 start.
“A sample of undergraduate students (N = 5,738) completed an online questionnaire 7 days after lockdown measures were introduced.”
“distributed over a single 2-day period, from March 26 to 27, 2020, indicating that the data were collected approximately 10 days after the start of the lockdown in France, on March 17, 2020.”
Age P value for intended restriction differs from Table 3
MinorThe narrative reports P = 0.0427 for age, while Table 3 reports P = 0.027 for the same odds ratio and confidence interval.
“younger age (OR = 0.93, 95% CI [0.87–0.99], P = 0.0427).”
“| 1.15 | 1.06–1.25 | 0.001 | Age | 0.93 | 0.87–0.99 | 0.027 |”
Discussion calls body dissatisfaction a consistent positive predictor
MinorThe discussion describes body dissatisfaction as a consistent predictor of higher likelihood of problematic eating behaviors. Table 3 instead shows a significant inverse association with binge-eating intentions (OR 0.84).
“Two other factors emerged as consistent predictors of the higher likelihood of engaging in problematic eating behaviors in our findings: body dissatisfaction and poor emotion regulation.”
“| 0.84 | 0.76–0.93 | <0.001 | EDI-2: Body dissatisfaction | 2.05 | 1.89–2.22 | <0.001 |”
The citation lists haven’t been fetched yet
References 32 · Cited by 193
Research works printed but not linked: 34
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- Haines, 2010, Examination of shared risk and protective factors for overweight and disordered eating among adolescents, Archives of Pediatrics and Adolescent Medicine, 164, 10.1001/archpediatrics.2010.19 · DOI
- Cardi, 2015, The effects of negative and positive mood induction on eating behaviour: A meta-analysis of laboratory studies in the healthy population and eating and weight disorders, Neuroscience & Biobehavioral Reviews, 57, 299, 10.1016/j.neubiorev.2015.08.011 · DOI
- Johnson, 2012, Dietary restraint and self-regulation in eating behavior, International Journal of Obesity, 36, 665, 10.1038/ijo.2011.156 · DOI · Paper page
- Wang, 2020, Immediate psychological responses and associated factors during the initial stage of the 2019 coronavirus disease (COVID-19) epidemic among the general population in China, International Journal of Environmental Research and Public Health, 17, 1729, 10.3390/ijerph17051729 · DOI · Paper page
- Garner, 1991, Eating disorder inventory-2
- Stice, 2011, Risk factors for onset of eating disorders: Evidence of multiple risk pathways from an 8-year prospective study, Behaviour Research and Therapy, 49, 622, 10.1016/j.brat.2011.06.009 · DOI · Paper page
- Rodgers, 2020, The impact of the COVID-19 pandemic on eating disorder risk and symptoms, International Journal of Eating Disorders, 57, 1166, 10.1002/eat.23318 · DOI · Paper page
- Constant, 2018, Emotional overeating is common and negatively associated with alcohol use in normal-weight female university students, Appetite, 129, 186, 10.1016/j.appet.2018.07.012 · DOI
- Fitzsimmons-Craft, 2019, Screening for eating disorders on college campuses: A review of the recent literature, Current Psychiatry Reports, 21, 101, 10.1007/s11920-019-1093-1 · DOI
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- Kabla-Langlois, 2020, Enseignement supérieur, recherche et innovation: Vers l’égalité femmes-hommes?, Chiffres clés
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- Authors
- Flaudias, V., Iceta, S., Zerhouni, O., Rodgers, R. F., Billieux, J., Llorca, P.-M., Boudesseul, J., de Chazeron, I., Romo, L., Maurage, P., Samalin, L., Bègue, L., Naassila, M., Brousse, G., & Guillaume, S.
- Affiliations
- Université Clermont Auvergne (FR)
- Hospices Civils de Lyon (FR)
- Université Paris Nanterre (FR)
- Northeastern University (US)
- Inserm (FR)
- University of Lausanne (CH)
- 1Department of Psychiatry, CHU Clermont-Ferrand, University of Clermont Auvergne, EA 7280, Clermont-Ferrand, France
- 8Instituto de Investigación Científica, Facultad de Psicología, Universidad de Lima, Lima, Peru
- GHU Paris psychiatrie & neurosciences (FR)
- UCLouvain (BE)
- 12LIPC2S, Université Grenoble Alpes, Saint-Martin-d'Hères, France
- Corresponding author
- Flaudias, Valentin
- Iceta, Sylvain
- Zerhouni, Oulmann
- Rodgers, Rachel F
- Billieux, Joël
- Llorca, Pierre-Michel
- Boudesseul, Jordane
- Maurage, Pierre
- Samalin, Ludovic
- Bègue, Laurent
- Brousse, Georges
- Guillaume, Sébastien
- ORCID
- Venue
- Journal of Behavioral Addictions
- Publisher
- Akademiai Kiado Zrt.
- Published
- 2020-10-12
- Volume
- 9
- Issue
- 3
- Pages
- 826-835
- ISSN
- 2062-5871 (ISSN-L)
- 2063-5303
- PMC
- PMC8943668
- OpenAlex
- W3088856653
- Cited by
- 193
- References
- 32
- Citations by year
- 2026: 8 · 2025: 11 · 2024: 33 · 2023: 36 · 2022: 53 · 2021: 51 · 2020: 1
- FWCI
- 14.08
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Journal of Behavioral Addictions (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- SERVAL (Université de Lausanne) (publishedVersion, cc-by-nc)
- Repository of the Academy's Library (Library of the Hungarian Academy of Sciences) (acceptedVersion)
- IRIS (submittedVersion, cc-by-nc)
- HAL (submittedVersion, cc-by-nc)
- Corpus Université Laval (Université Laval) (submittedVersion)
- Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) (submittedVersion, other-oa)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, cc-by-nc-sa)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Eating Disorders and Behaviors
- Health Sciences › Nursing › Nutrition and Dietetics › Nutrition, Health and Food Behavior
- Social Sciences › Psychology › Clinical Psychology › COVID-19 and Mental Health
- Keywords
- COVID-19 lockdown, problematic eating behaviors, binge eating, dietary restriction, stress, university students, body image, body dissatisfaction, impulse control, eating disorder risk, media exposure, eating disorder screening
- MeSH terms
- Betacoronavirus, COVID-19, SARS-CoV-2, Adult, Feeding and Eating Disorders, Female, France, Humans, Male, Pneumonia, Viral, Quarantine, Surveys and Questionnaires, Students, Coronavirus Infections, Young Adult, Pandemics
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