Quality of life and psychological well-being in the early stages of multiple sclerosis (MS): importance of adopting a biopsychosocial model
Open accessAbstract
BACKGROUND: Reductions in quality of life (QOL) exist among individuals with multiple sclerosis (MS). OBJECTIVE: The present investigation aimed to adopt a biopsychosocial model in examining QOL in the early stages of MS. METHODS: Individuals with MS (34 with average to low QOL and 35 with high QOL) were compared on measures of disease symptoms, psychological functioning, personality, self-efficacy, locus of control (LOC), social support, and coping to determine the most salient predictors of QOL. RESULTS: Individuals were matched on disease course and duration. Individuals with lower QOL reported more fatigue, sleep problems, pain, depression, and anxiety (d = 0.83-1.49, p's < 0.001). They also reported lower levels of self-efficacy, LOC, and social support (d = 0.75-1.50 p's < 0.01). They indicated higher levels of neuroticism (d = 1.31, p < .001) and lower levels of extraversion (d = 1.21, p < .001) and reported greater levels of disengagement as a means of coping (d = 0.75, p = .002). Those with high QOL endorsed more use of adaptive coping (d = 0.52 - 0.86, p's < 0.05). When taken together, LOC and anxiety were the most significant predictors, accounting for 40% of the variance. CONCLUSION: Even early on in the illness, there exists differing levels of QOL. Identifying the psychological and social variables as well as the disease related factors is important, and in this case, may make a much greater contribution. Efforts to assure routine assessment and effective intervention aimed at these factors are warranted, particularly as an early intervention to assure maintenance/improvement in QOL among individuals with MS.
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- Findingown data
The low to average quality of life group had worse psychological well-being than the high quality of life group (d=.70-1.71, p≤.001).
“PWB (d’s=.70-1.71, p≤.001)”
Quote in the paperSubstantial claim - Findingown data
The groups did not differ on the other personality factors.
“There were no other differences with regard to the other factors of personality.”
Quote in the paperNot a substantial claim - Findingown data
The high quality of life group had higher MS-specific self-efficacy than the low to average quality of life group (d=.76, p=.003).
“individuals with high QOL reported higher levels of general and MS-specific self- efficacy (d=.78, p=.002 and d=.76, p=.003, respectively)”
Quote in the paperSubstantial claim - Findingown data
The low to average quality of life group had higher perceived stress than the high quality of life group (d=1.48, p<.001).
“Large effect sizes were also found on measures of perceived stress (d=1.48, p<.001)”
Quote in the paperSubstantial claim - Findingown data
The low to average quality of life group had worse subjective well-being, including depression and anxiety, than the high quality of life group (d=1.02-1.49, p≤.001).
“subjective well-being (i.e., depression, anxiety) (d’s=1.02-1.49, p≤.001)”
Quote in the paperSubstantial claim
- Findingown data
The low to average quality of life group had greater sleep disturbance than the high quality of life group (d=.83, p=.001).
“those with low to average QOL endorse greater fatigue (d=.91, p<.001), sleep disturbance (d=.83, p=.001), and pain (d=1.10, p<.001)”
Quote in the paperNot a substantial claim - Findingown data
The low to average quality of life group had greater fatigue than the high quality of life group (d=.91, p<.001).
“those with low to average QOL endorse greater fatigue (d=.91, p<.001), sleep disturbance (d=.83, p=.001), and pain (d=1.10, p<.001)”
Quote in the paperNot a substantial claim - Findingown data
Among the 58 participants in a relationship, the high quality of life group had greater relationship satisfaction than the low to average quality of life group (d=.97, p=.001).
“Of the 58 presently in a relationship, those with high QOL reported greater satisfaction (d=.97, p=.001)”
Quote in the paperNot a substantial claim - Findingown data
The low to average quality of life group had worse mental health-related quality of life than the high quality of life group (d=1.09, p<.001).
“individuals with low to average QOL consistently report worse physical and mental HRQOL (d=.63, p=.011 and 1.09, p<.001, respectively)”
Quote in the paperSubstantial claim - Findingown data
The low to average quality of life group had lower extraversion than the high quality of life group (d=1.21, p<.001).
“individuals with low to average QOL reported greater levels of neuroticism (d=1.31, p<.001) and lower levels of extraversion (d=1.21, p<.001).”
Quote in the paperSubstantial claim - Findingown data
The low to average quality of life group had worse physical health-related quality of life than the high quality of life group (d=.63, p=.011).
“individuals with low to average QOL consistently report worse physical and mental HRQOL (d=.63, p=.011 and 1.09, p<.001, respectively)”
Quote in the paperSubstantial claim - Findingown data
The low to average quality of life group had lower perceived success/flourishing than the high quality of life group (d=1.89, p<.001).
“and success (d=1.89, p<.001)”
Quote in the paperSubstantial claim - Findingown data
The low to average quality of life group had less social support than the high quality of life group (d=.75, p=.001).
“individuals with low to average QOL reported feeling as if they had less social support (d=.75, p=.001).”
Quote in the paperSubstantial claim - Findingown data
The high quality of life group had a more internal locus of control than the low to average quality of life group (d=1.50, p<.001).
“and internal LOC, with the largest effect being observed for LOC (d=1.50, p<.001).”
Quote in the paperSubstantial claim - Findingown data
The high quality of life group had higher general self-efficacy than the low to average quality of life group (d=.78, p=.002).
“individuals with high QOL reported higher levels of general and MS-specific self- efficacy (d=.78, p=.002 and d=.76, p=.003, respectively)”
Quote in the paperSubstantial claim - Findingown data
The low to average quality of life group had higher neuroticism than the high quality of life group (d=1.31, p<.001).
“individuals with low to average QOL reported greater levels of neuroticism (d=1.31, p<.001) and lower levels of extraversion (d=1.21, p<.001).”
Quote in the paperSubstantial claim - Findingown data
The low to average quality of life group had greater pain than the high quality of life group (d=1.10, p<.001).
“those with low to average QOL endorse greater fatigue (d=.91, p<.001), sleep disturbance (d=.83, p=.001), and pain (d=1.10, p<.001)”
Quote in the paperNot a substantial claim - Findingown data
Locus of control was the most significant predictor of quality of life, accounting for 36% of variance.
“The finding that LOC was the most significant predictor, accounting for 36% of the variance, is not surprising given past findings that LOC can have a great impact on adjustment to MS.”
Quote in the paperSubstantial claim - Findingown data
Among self-efficacy measures, locus of control was the only significant predictor of quality of life.
“Only LOC was a significant predictor when considered with the other measures of self-efficacy.”
Quote in the paperNot a substantial claim - Findingown data
The high quality of life group used more acceptance coping than the low to average quality of life group (d=.86, p=.001).
“individuals with high QOL were more likely to utilize problem-focused and adaptive coping such as planning (d=.52, p=.035), active coping (d=.76, p=.002), emotional and instrumental social support (d=.53, p=.032 and d=.82, p=.001, respectively), humor (d=.62, p=.013), acceptance (d=.86, p=.001), and positive reinterpretation and growth (d=.82, p=.001).”
Quote in the paperSubstantial claim - Findingown data
The low to average quality of life group used more behavioral disengagement coping than the high quality of life group (d=.75, p=.002).
“individuals with low to average QOL endorsed engaging in maladaptive coping such as behavioral disengagement (d=.75, p=.002) with a trend for denial (d=.46, p=.060).”
Quote in the paperSubstantial claim - Findingown data
The high quality of life group used more planning coping than the low to average quality of life group (d=.52, p=.035).
“individuals with high QOL were more likely to utilize problem-focused and adaptive coping such as planning (d=.52, p=.035), active coping (d=.76, p=.002), emotional and instrumental social support (d=.53, p=.032 and d=.82, p=.001, respectively), humor (d=.62, p=.013), acceptance (d=.86, p=.001), and positive reinterpretation and growth (d=.82, p=.001).”
Quote in the paperSubstantial claim - Findingown data
The high quality of life group used more humor coping than the low to average quality of life group (d=.62, p=.013).
“individuals with high QOL were more likely to utilize problem-focused and adaptive coping such as planning (d=.52, p=.035), active coping (d=.76, p=.002), emotional and instrumental social support (d=.53, p=.032 and d=.82, p=.001, respectively), humor (d=.62, p=.013), acceptance (d=.86, p=.001), and positive reinterpretation and growth (d=.82, p=.001).”
Quote in the paperNot a substantial claim - Findingown data
There was a trend for the low to average quality of life group to use more denial coping than the high quality of life group (d=.46, p=.060).
“individuals with low to average QOL endorsed engaging in maladaptive coping such as behavioral disengagement (d=.75, p=.002) with a trend for denial (d=.46, p=.060).”
Quote in the paperNot a substantial claim - Findingown data
The high quality of life group used more active coping than the low to average quality of life group (d=.76, p=.002).
“individuals with high QOL were more likely to utilize problem-focused and adaptive coping such as planning (d=.52, p=.035), active coping (d=.76, p=.002), emotional and instrumental social support (d=.53, p=.032 and d=.82, p=.001, respectively), humor (d=.62, p=.013), acceptance (d=.86, p=.001), and positive reinterpretation and growth (d=.82, p=.001).”
Quote in the paperSubstantial claim - Findingown data
The high quality of life group used more instrumental social support coping than the low to average quality of life group (d=.82, p=.001).
“individuals with high QOL were more likely to utilize problem-focused and adaptive coping such as planning (d=.52, p=.035), active coping (d=.76, p=.002), emotional and instrumental social support (d=.53, p=.032 and d=.82, p=.001, respectively), humor (d=.62, p=.013), acceptance (d=.86, p=.001), and positive reinterpretation and growth (d=.82, p=.001).”
Quote in the paperNot a substantial claim - Findingown data
The high quality of life group used more positive reinterpretation and growth coping than the low to average quality of life group (d=.82, p=.001).
“individuals with high QOL were more likely to utilize problem-focused and adaptive coping such as planning (d=.52, p=.035), active coping (d=.76, p=.002), emotional and instrumental social support (d=.53, p=.032 and d=.82, p=.001, respectively), humor (d=.62, p=.013), acceptance (d=.86, p=.001), and positive reinterpretation and growth (d=.82, p=.001).”
Quote in the paperSubstantial claim - Findingown data
Among disease symptoms, pain was the most significant predictor of quality of life.
“Among disease symptoms, pain was the most significant predictor that remained in the first model.”
Quote in the paperNot a substantial claim - Findingown data
The high quality of life group used more emotional social support coping than the low to average quality of life group (d=.53, p=.032).
“individuals with high QOL were more likely to utilize problem-focused and adaptive coping such as planning (d=.52, p=.035), active coping (d=.76, p=.002), emotional and instrumental social support (d=.53, p=.032 and d=.82, p=.001, respectively), humor (d=.62, p=.013), acceptance (d=.86, p=.001), and positive reinterpretation and growth (d=.82, p=.001).”
Quote in the paperNot a substantial claim - Findingown data
Among psychological variables, anxiety was the only significant predictor of quality of life.
“Anxiety was the sole predictor among psychological variables.”
Quote in the paperSubstantial claim - Premisecitation
Quality of life is reduced in people with multiple sclerosis.
“Reductions in quality of life (QOL) exist among individuals with multiple sclerosis (MS).”
- Also stated in: § Discussion · boosted
“Reductions in QOL are well documented in MS.”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [14] Amato, 2001, Quality of life in multiple sclerosis: the impact of depression, fatigue and disability, Mult Scler source
Not checked in the free run.
- cites [15] D'Alisa, 2006, Depression is the main determinant of quality of life in multiple sclerosis: a classification-regression (CART) study, Disabil Rehabil source
Not checked in the free run.
- cites [16] Glanz, 2010, The association between cognitive impairment and quality of life in patients with early multiple sclerosis, J Neurol Sci source
Not checked in the free run.
- cites [17] Lobentanz, 2004, Factors influencing quality of life in multiple sclerosis patients: disability, depressive mood, fatigue and sleep quality, Acta Neurol Scand source
Not checked in the free run.
- Also stated in: § Discussion · boosted
- Premisecitation
Depression is the strongest determinant of quality of life in multiple sclerosis among psychological and social factors.
“Of the multitude of psychological and social factors thought to influence QOL in MS, depression has been consistently shown to be the greatest determinant.34,35”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [34] D'Alisa, 2006, Depression is the main determinant of quality of life in multiple sclerosis: a classification-regression (CART) study, Disabil Rehabil source
Not checked in the free run.
- cites [35] Lobentanz, 2004, Factors influencing quality of life in multiple sclerosis: disability, depressive mood, fatigue and sleep quality, Acta Neurologica Scandanivica source
Not checked in the free run.
- Premisecitation
Psychological and social factors contribute to quality of life in multiple sclerosis beyond disease variables.
“These factors have been shown to greatly contribute to QOL above and beyond disease variables.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [28] Schwartz, 2005, Contribution of demographic, medical, and social support variables in predicting the mental health dimension of quality of life among people with multiple sclerosis, Health Soc Work source
Not checked in the free run.
- cites [36] Wollin, 2013, Longitudinal changes in quality of life and related psychosocial variables in australians with multiple sclerosis, Int J MS Care source
Not checked in the free run.
- Premisecitation
Depression, anxiety, self-efficacy, social support, and stress explained an additional 40% of variance in quality of life after disease severity and duration were controlled.
“In fact, Wollin et al (2013) found that depression, anxiety, self-efficacy, social support, and stress accounted for an additional 40% of the variance in predicting QOL when disease severity and duration were accounted for.36”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [36] Wollin, 2013, Longitudinal changes in quality of life and related psychosocial variables in australians with multiple sclerosis, Int J MS Care source
Not checked in the free run.
- Premisecitation
Fatigue and cognitive impairment are the disease-related factors that most reduce quality of life in multiple sclerosis.
“With regard to disease related factors, fatigue and cognitive impairment have been found to be the greatest culprits in reducing QOL in MS.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [25] Benedict, 2005, Predicting quality of life in multiple sclerosis: accounting for physical disability, fatigue, cognition, mood disorder, personality, and behavior change, J Neurol Sci source
Not checked in the free run.
- cites [26] Janardhan, 2002, Quality of life in patients with multiple sclerosis: the impact of fatigue and depression, J Neurol Sci source
Not checked in the free run.
- cites [27] Rao, 1991, Cognitive dysfunction in multiple sclerosis. II. Impact on employment and social functioning, Neurology source
Not checked in the free run.
- Premisecitation
In people recently diagnosed with MS (under one year), self-perceived health, quality of life, and psychological well-being are reduced independently of neurological disability.
“Previous investigations examining these factors in a recently diagnosed sample (< 1 year) found reductions in self-perceived health, QOL, and psychological well-being that was independent of neurological disability.47”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [47] Possa, 2017, The first year after diagnosis: psychological impact on people with multiple sclerosis, Psychol Health Med
Not checked in the free run.
- Premisecitation
Self-efficacy predicts physical, social, and cognitive functioning in multiple sclerosis even after neurologic impairment and depression are accounted for.
“A more recent investigation found self-efficacy to be a significant predictor of physical, social, and cognitive functioning in MS, even when taking into account neurologic impairment and depression.43”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [43] Schmitt, 2014, Self-efficacy as a predictor of self-reported physical, cognitive, and social functioning in multiple sclerosis, Rehabil Psychol source
Not checked in the free run.
- Study design and conductnone given
The sample size was small.
“Additionally, although the sample was partitioned evenly on QOL, the sample size was small.”
Quote in the paperNot a substantial claim - Interpretationown data
Even early in multiple sclerosis, there are differing levels of quality of life.
“Even early on in the illness, there exists differing levels of QOL.”
Quote in the paperSubstantial claim- Rests on an assumption: The employed relapsing-remitting MS sample with disease duration up to five years represents the broader early MS population.
- Interpretationown data
The personality differences between the quality of life groups resemble the distressed or Type D personality.
“it was most striking that the differences in personality were akin to what has been termed the distressed or “Type D” personality.”
Quote in the paperSubstantial claim - Interpretationown data
These personality traits may explain the greater fatigue, sleep disturbance, and pain in the low quality of life group despite comparable disease duration and course.
“Presence of these traits may also explain the higher rates of fatigue, sleep disturbance, and pain among those with low to average QOL despite their being comparable disease duration and course.”
Quote in the paperSubstantial claim - Interpretationown data
These personality traits may predict lower quality of life early in multiple sclerosis.
“Findings of the present investigation suggest that these personality traits may be predictive of lower QOL in early on in the disease process of MS.”
Quote in the paperSubstantial claim - Premisecitation
Previous investigations found improvements in self-efficacy after wellness programs, cognitive behavioral interventions, and fatigue management programs.
“Previous investigations have found improvements in self- efficacy following involvement in wellness programs,73 cognitive behavioral interventions,74 and fatigue management programs75”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [73] Ng, 2013, Self-efficacy and health status improve after a wellness program in persons with multiple sclerosis, Disabil Rehabil source
Not checked in the free run.
- cites [74] Graziano, 2013, The effects of a group-based cognitive behavioral therapy on people with multiple sclerosis: a randomized controlled trial, Clin Rehabil source
Not checked in the free run.
- cites [75] Thomas, 2014, One year follow-up of a prahmatic multi-centre randomized controlled trial of a group-based fatigue management programme (FACETS) for people with multiple sclerosis, BioMedCentral Neurology
Not checked in the free run.
- Study design and conductown data
Anxiety and neuroticism had variance inflation factors greater than 5.
“Anxiety and neuroticism were both found to have a variance inflation factor (VIF) greater than 5.”
Quote in the paperSubstantial claim - Interpretationown data
Person-specific factors may predispose individuals to different quality of life levels even early in multiple sclerosis.
“suggests that there are person-specific factors that may predispose individuals to have differing levels of QOL even early on in the illness.”
Quote in the paperSubstantial claim- Rests on an assumption: Early multiple sclerosis patients are prior to significant disease involvement.
- Rests on an assumption: The employed relapsing-remitting MS sample with disease duration up to five years represents the broader early MS population.
- The quote only partly states this claim. 2
- May combine two claims. 9
- Classified as probably not a substantial claim. 3
The quote only partly states this claim.
Findingown dataIn the coping model, behavioral disengagement and acceptance were retained as predictors of quality of life.
“Finally, of the coping measure, only behavioral disengagement and acceptance were retained in the model.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataLocus of control had the largest effect size and was the strongest predictor distinguishing high quality of life from lower quality of life in people diagnosed with MS within the previous five years.
“In the present study, LOC demonstrated the largest effect size and was the greatest predictor in distinguishing those with high QOL from those with less in a sample of individuals diagnosed with MS in the last five years.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). The quote only partly states this claim.
Findingown dataIn the personality model, neuroticism and extraversion remained as predictors of quality of life.
“Both neuroticism and extraversion remained in the model when examining personality.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the final model with pain, anxiety, neuroticism, extraversion, locus of control, behavioral disengagement, and acceptance, only locus of control and anxiety remained significant and together accounted for 40% of variance in quality of life.
“When taken together, the only significant factors that remained in the final model when considering pain, anxiety, neuroticism, extraversion, LOC, behavioral disengagement, and acceptance was LOC and anxiety, accounting for 40% of the variance (See Table 5).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe quality of life groups differed in psychological well-being, particularly self-acceptance, personal relationships, purpose in life, and to a lesser extent personal growth.
“differences were found between the two groups, particularly for self-acceptance, personal relationships, and purpose in life, and to a lesser extent, personal growth.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductcitationThe Satisfaction with Life Scale is valid and reliable in the multiple sclerosis population.
“The SWLS has been used previously in the MS literature49 and found to be valid and reliable in this population.50,51”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [50] Lucas-Carrasco, 2014, Preliminary validation study of the Spanish version of the satisfaction with life scale in persons with multiple sclerosis, Disabil Rehabil source
Not checked in the free run.
- cites [51] Learmonth, 2014, Psychometric properties of quality of life and health-related quality of life assessments in people with multiple sclerosis, Qual Life Res source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningA multivariate analysis of variance was used on coping subscales to reduce Type I error from multiple comparisons.
“A multivariate analysis of variance (MANOVA) was conducted among the subscales of the coping measure to reduce the likelihood of a Type I error given the multiple comparisons.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationConscientiousness and depression together explained 63% of variance in overall quality of life in multiple sclerosis.
“More specifically, the facet of conscientiousness, in conjunction with depression, accounted for 63% of the variance when predicting overall QOL.46”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [46] Benedict, 2005, Predicting quality of life in multiple sclerosis: accounting for physical disability, fatigue, cognition, mood disorder, personality, and behavior change, J. Neurol. Sci. source
Not checked in the free run.
May combine two claims.
PremisecitationAn internal locus of control is associated with a milder MS course, greater MS knowledge, and more health behaviors than an external locus of control.
“More specifically, individuals with an internal LOC were found to have a milder course, were more knowledgeable regarding their MS, and engaged in more health-related behaviors or self-care than those with an external oriented LOC.45”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [45] Wassem, 1991, A test of the relationship between health locus of control and the course of multiple sclerosis, Rehabil Nurs source
Not checked in the free run.
May combine two claims.
Study design and conductown dataThe high quality of life and low to average quality of life groups did not differ in age, gender, education, or disease duration.
“There were no differences with regard to age, gender, education, or disease duration between those with high QOL and those with low to average QOL. (See Table 1).”
- Also stated in: § Results · plain
“Individuals were matched on disease course and duration.”
Quote in the paperNot a substantial claim- Also stated in: § Results · plain
May combine two claims.
Study design and conductreasoningThe study was cross-sectional and cannot support causal inferences.
“However, the present study is cross-sectional and does not lends itself to any causal inferences.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown dataDespite the small sample, effect sizes greater than 1.0 for most variables suggest the effects would be larger in a larger sample and the study was likely not underpowered.
“However, despite the small sample size, effect sizes greater than 1.0 were found for the majority of variables investigated suggesting that these effects could only be larger in a larger sample size and that this study was likely not underpowered.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataPsychological and social variables, along with disease-related factors, are important and may contribute more to quality of life in early multiple sclerosis.
“Identifying the psychological and social variables as well as the disease related factors is important, and in this case, may make a much greater contribution.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The biopsychosocial model requires biological, psychological, and social factors to be considered together to understand illness impact.
The paper relies on this without support.
Psychological well-being has received little attention in multiple sclerosis research.
“To date, PWB has received very little attention in MS as the majority of studies focus on general QOL, such as life satisfaction and HRQOL.”
The authors state this as an assumption.
The biopsychosocial model requires biological, psychological, and social factors to be considered together to understand illness impact.
“which suggests that biological, psychological, and social factors must all be considered simultaneously in order to fully appreciate the patient’s subjective experience of their illness and its overall impact on their functioning, QOL, and overall well-being.”
The paper relies on this without support.
Early multiple sclerosis patients are prior to significant disease involvement.
“It was proposed that early on in the disease process, prior to significant disease involvement, social and psychological factors were likely to have a substantive role on QOL and adjustment to MS”
The paper relies on this without support.
The employed relapsing-remitting MS sample with disease duration up to five years represents the broader early MS population.
“Individuals with a relapsing remitting course and disease duration of less than or equal to five years were selected for the current investigation.”
“and being presently employed.”
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?
Among sociodemographic variables, age has consistently been shown to have no significant relationship with QoL in MS patients.
“Among the sociodemographic variables, age has consistently been shown to have no significant relationship with the QoL in MS patients [4,8,11].”
From Biopsychosocial Correlates of Quality of Life in Multiple Sclerosis Patients (2022) · cites this paper as [4]
The Results report no age difference between the high-QOL and low-to-average-QOL groups. That supports a lack of an observed age association in this study of people in the early stages of MS, but does not establish that age has consistently had no significant relationship with QOL across MS patients generally. (LLM, conf=0.86)
Experimental — accuracy not yet measuredDepression has been observed to be the strongest predictor of QoL in several studies.
“Depression has been observed to be the strongest predictor in several studies [4,8,10,11,17,20,24,25,26].”
From Biopsychosocial Correlates of Quality of Life in Multiple Sclerosis Patients (2022) · cites this paper as [4]
Active coping, problem resolution, planning problem solving, cognitive positive restructuring, emotional and instrumental social support, emotional expression, acceptance and growth are related to higher quality of life in multiple sclerosis.
“Active coping, problem resolution, planning problem solving, cognitive positive restructuring, emotional and instrumental social support, emotional expression, acceptance and growth were related to a higher QoL in MS.51 71 79–82”
From Quality of life in adults with multiple sclerosis: A systematic review (2020) · cites this paper as [51]
High levels of self-efficacy, self-esteem, illness identity and sense of coherence correlate with higher quality of life in multiple sclerosis.
“High levels of self-efficacy,51 88 self-esteem,88 illness identity88 and sense of coherence89 correlated with higher QoL”
From Quality of life in adults with multiple sclerosis: A systematic review (2020) · cites this paper as [51]
Strategies based on acceptance and active commitment led to higher quality of life in multiple sclerosis.
“On the contrary, strategies based on acceptance and active commitment, such as active coping, humour, problem resolution, cognitive positive restructuring and emotional expression, led to higher QoL in MS.51 71 79–82”
From Quality of life in adults with multiple sclerosis: A systematic review (2020) · cites this paper as [51]
Denial and avoidance of the challenges of the disease were associated with a lower quality of life in multiple sclerosis.
“However, in general, strategies associated with denial51 79 and avoidance of the challenges of the disease, such as problem avoidance,71 81 behavioural disengagement,51 80 distancing,81 self-distraction,79 social withdrawal71 and wishful thinking,71 were associated with a lower QoL.”
From Quality of life in adults with multiple sclerosis: A systematic review (2020) · cites this paper as [51]
Higher self-efficacy, self-esteem and sense of coherence improved quality of life in multiple sclerosis.
“Thus, higher self-efficacy,51 88 self-esteem88 and sense of coherence89 improved QoL in MS.”
From Quality of life in adults with multiple sclerosis: A systematic review (2020) · cites this paper as [51]
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.
Neuroticism is both removed from and included in the final regression
MinorThe results say neuroticism was removed because of multicollinearity, but the next sentence lists it among the variables considered in the final model. The text does not make clear which model produced the reported result.
“As a result, neuroticism was removed from the regression given the larger effects observed with anxiety.”
“When taken together, the only significant factors that remained in the final model when considering pain, anxiety, neuroticism, extraversion, LOC, behavioral disengagement, and acceptance was LOC and anxiety, accounting for 40% of the variance (See Table 5).”
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References 69 · Cited by 99
Research works printed but not linked: 6
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- Hakim, 2000, The social impact of multiple sclerosis-a study of 305 patients and their relatives, Disabil Rehabil, 22, 288, 10.1080/096382800296755 · DOI
- Lobentanz, 2004, Factors influencing quality of life in multiple sclerosis: disability, depressive mood, fatigue and sleep quality, Acta Neurologica Scandanivica, 110, 6, 10.1111/j.1600-0404.2004.00257.x · DOI · Paper page
- Benedict, 2005, Predicting quality of life in multiple sclerosis: accounting for physical disability, fatigue, cognition, mood disorder, personality, and behavior change, J. Neurol. Sci., 231, 29, 10.1016/j.jns.2004.12.009 · DOI · Paper page
- Ritvo, 1997, Multiple sclerosis quality of life inventory: a user's manual, N Y: Nat Multiple Sclerosis Soc, 1
- Schwarzer, 1995, Generalized self-efficacy scale, Measures in Health Psychol: User’s Portfolio Causal Contr Beliefs, 1, 35
- Authors
- Strober, L. B.
- Affiliations
- Rutgers, The State University of New Jersey (US)
- Corresponding author
- Strober, L.B.
- ORCID
- Strober, L.B.
- Venue
- Disability and health journal
- Publisher
- Elsevier BV
- Published
- 2018-10
- Volume
- 11
- Issue
- 4
- Pages
- 555-561
- ISSN
- 1876-7583 (ISSN-L)
- 1936-6574
- PMC
- PMC6177284
- OpenAlex
- W2806616775
- Semantic Scholar
- 8deedef0955cc2a9c6a5c38c128fdd8345eabd31
- Cited by
- 99
- References
- 69
- Citations by year
- 2026: 6 · 2025: 13 · 2024: 13 · 2023: 12 · 2022: 16 · 2021: 22 · 2020: 12 · 2019: 4 · 2018: 1
- FWCI
- 7.41
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Disability and health journal (acceptedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (NCMRRK23HD069494)
- Topics
- Health Sciences › Medicine › Pathology and Forensic Medicine › Multiple Sclerosis Research Studies
- Health Sciences › Medicine › Oncology › Cancer survivorship and care
- Social Sciences › Psychology › Applied Psychology › Optimism, Hope, and Well-being
- Keywords
- multiple sclerosis, quality of life, biopsychosocial model, psychological well-being, fatigue, sleep disorders, pain, depression, anxiety, self-efficacy, locus of control, social support, coping strategies, disengagement coping, adaptive coping, neuroticism, extraversion, predictors of quality of life
- MeSH terms
- Adaptation, Psychological, Adult, Female, Persons with Disabilities, Humans, Male, Middle Aged, Multiple Sclerosis, Quality of Life, Surveys and Questionnaires, Social Support, Stress, Psychological, Self Efficacy
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