Longitudinal Associations of Modifiable Lifestyle Factors With Positive Depression-Screen Over 2.5-Years in an International Cohort of People Living With Multiple Sclerosis

Taylor, Keryn L; Simpson, Steve; Jelinek, George A; Neate, Sandra L; Livera, Alysha M De; Brown, Carolyn S.; O’Kearney, Emily; Marck, Claudia H; Weiland, Tracey J

doi:10.3389/fpsyt.2018.00526

Cited by 28 publications

(20 citation statements)

References 71 publications

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“…Both antiinflammatory and other diets were associated with improved mobility, consistent with proposed neuroinflammatory and microbiota-gut-brain-axis disease mechanisms. Though studies have reported associations between diet quality and MS-specific diets with lower depression and fatigue respectively [24,25], we did not observe associations in these symptom subdomains. Discrepancies may be attributable to outcome measure tools in addition to potential additive benefits of adhering to multiple lifestyle behaviors.…”

Section: Discussioncontrasting

confidence: 99%

Associations between Lifestyle Behaviors and Quality of Life Differ Based on Multiple Sclerosis Phenotype

Nag

Jelinek

et al. 2021

JPM

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Multiple sclerosis (MS), a neuroinflammatory disorder, occurs as non-progressive or progressive phenotypes; both forms present with diverse symptoms that may reduce quality of life (QoL). Adherence to healthy lifestyle behaviors has been associated with higher QoL in people with MS; whether these associations differ based on MS phenotype is unknown. Cross-sectional self-reported observational data from 1108 iConquerMS participants were analysed. Associations between lifestyle behaviors and QoL were assessed by linear regression, and phenotype differences via moderation analyses. Diet, wellness, and physical activity, but not vitamin D or omega-3 supplement use, were associated with QoL. Specifically, certain diet types were negatively associated with QoL in relapsing-remitting MS (RRMS), and positively associated in progressive MS (ProgMS). Participation in wellness activities had mixed associations with QoL in RRMS but was not associated in ProgMS. Physical activity was positively associated with QoL in RRMS and ProgMS. Phenotype differences were observed in diet and wellness with physical QoL, and physical activity with most QoL subdomains. Our findings show lifestyle behaviors are associated with QoL and appear to differ based on MS phenotype. Future studies assessing timing, duration, and adherence of adopting lifestyle behaviors may better inform their role in MS management.

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Section: Discussioncontrasting

confidence: 99%

Associations between Lifestyle Behaviors and Quality of Life Differ Based on Multiple Sclerosis Phenotype

Nag

Jelinek

et al. 2021

JPM

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“…Additionally, we would draw the conclusion that one parameter (sample size or item number) can be small, given the other is sufficiently large. What is the implication, what should change now. The recent trend in medicine to use very short scales (as low as two items) (see, eg, the works of Taylor et al and Staples et al) seems critical in light of the present simulation results. Neither IRT nor CTT can be expected to yield valid results in such short scales. …”

Section: Abbreviationsmentioning

confidence: 75%

Estimating person parameters via item response model and simple sum score in small samples with few polytomous items: A simulation study

Schwall

Meesters

Hardt

2019

Statistics in Medicine

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Background:The Item Response Theory (IRT) is becoming increasingly popular for item analysis. Theoretical considerations and simulation studies suggest that parameter estimates will become precise only by utilizing many items in large samples. Method: A simulation study focusing on a single scale was performed on data with (a) n = 40, 60, 80, 120, 200, 300, 500, and 900 cases utilizing (b) 4, 8, 16, or 32 items. The items were (c) symmetrically distributed vs. skew (skewness 0, 1, and 2). Item loadings were (d) homogeneous vs. heterogeneous. Item loadings were (e) low vs. high. Half of the items had (f) a correlated error or not. The number of answering categories (g) was four vs. five. A total of 10% of each item had missing values. The ability-estimates from the IRT model and the simple sum score served as criteria for evaluating the results. Results:The ability-estimate from the IRT model outperformed the sum score when there were many items, skewed distributed items, and the item loadings were heterogeneous and high. The sum score outperformed the ability-estimate when there were few items, nonskewed items, and homogeneous and low item loadings. However, convergence rates were partly low in small samples.Correlated errors affected, both negatively, the ability-estimate and the sum score. Conclusion: With skew item distributions and heterogeneous item loadings, utilizing an IRT model is recommended. However, with few items, many cases are required, conversely, with few cases many items. With few items and few cases, the sum score performs better.

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“…For example, in a 7-year follow-up of the Komo-Ise cohort study, Tanaka et al [ 16 ] showed that heavy alcohol consumption and physical inactivity were associated with a higher prevalence of depression in Japanese men, and obesity, inadequate sleep, and smoking were associated with a higher prevalence of depression in Japanese women. In an international cohort study of patients with muscle sclerosis, Taylor et al [ 17 ] showed that healthy lifestyles, including moderate alcohol intake, being a non-smoker, diet quality, no meat or dairy intake, vitamin D supplementation, omega 3 supplement use, regular exercise, and meditation at baseline, were associated with lower incidences of depression.…”

Section: Introductionmentioning

confidence: 99%

The relationship between lifestyle risk factors and depression in Korean older adults: a moderating effect of gender

Kim

2022

BMC Geriatr

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Background Little is known regarding the role of gender as a possible modulator in determining the associations between lifestyle risk factors and depression in older adults. Objectives This study examined whether gender modulates the relationship between depression and lifestyle risk factors in Korean adults aged 65 years and older (n = 3700). Methods Data were obtained from the 2016 and 2018 Korea National Health and Examination Survey. The primary outcome was depression, assessed with the patient health questionnaire-9. As exposures, smoking habits, at-risk alcohol consumption, and physical inactivity were assessed with a standardized questionnaire. In addition, mean adequacy ratio (MAR) as an indicator of overall nutritional inadequacy was assessed with dietary intakes of macro- and micronutrients. Results In men only, either two or three and more risk factors were significantly associated with higher depression risk (OR (95% confidence interval, CI) = 2.886 (1.003–8.299) and OR (95% CI) = 3.109 (1.064–9.097), respectively). In women only, either two or three and more risk factors were also significantly associated with higher depression risk (OR (95% CI) = 1.505 (1.067–2.124) and OR (95% CI) = 2.828 (1.527–5.239), respectively). In particular, the presence of smoking habits and MAR were the major determinants of depression (OR (95% CI) = 1.835 (1.09–3.10) and OR (95% CI) = 1.585 (1.125–2.233), respectively) in women only. Finally, a moderation analysis with the Hayes PROCESS Macro showed a significant moderating effect of gender (β (95% CI) = 0.633 (0.206 ~ 1.060)) on the relationship between risk factors and depression. In addition, the slope of the relationship was much steeper in women than in men. Conclusion Current findings suggest that lifestyle risk factors are more closely associated with depression risk in women than in men.

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Longitudinal Associations of Modifiable Lifestyle Factors With Positive Depression-Screen Over 2.5-Years in an International Cohort of People Living With Multiple Sclerosis

Cited by 28 publications

References 71 publications

Associations between Lifestyle Behaviors and Quality of Life Differ Based on Multiple Sclerosis Phenotype

Associations between Lifestyle Behaviors and Quality of Life Differ Based on Multiple Sclerosis Phenotype

Estimating person parameters via item response model and simple sum score in small samples with few polytomous items: A simulation study

The relationship between lifestyle risk factors and depression in Korean older adults: a moderating effect of gender

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