Relationship between physical activity and mental health in a national representative cross-section study: Its variations according to obesity and comorbidity

Xu, Peng; Huang, Yanhong; Hou, Qingqin; Cheng, Jinqun; Ren, Zhiqiang; Ye, Rongrong; Yao, Zifeng; Chen, Jiade; Lin, Ziqiang; Gao, Yanhui; Chen, Yue

doi:10.1016/j.jad.2022.04.037

Cited by 13 publications

(5 citation statements)

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“…These findings are reflected in the results of previous meta-analyses on the association between physical activity and depression, suggesting that increasing amounts of physical activity may not translate into greater reductions in depressive symptoms. A recent cross-sectional study found a U-shaped association between physical activity frequency and mental health, such that 10 to 15 sessions per month induced the greatest mental health improvements . In contrast, there is evidence that increasing amounts of physical activity have beneficial effects on mental health .…”

Section: Discussionmentioning

confidence: 99%

Physical Activity Interventions to Alleviate Depressive Symptoms in Children and Adolescents

et al. 2023

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ImportanceDepression is the second most prevalent mental disorder among children and adolescents, yet only a small proportion seek or receive disorder-specific treatment. Physical activity interventions hold promise as an alternative or adjunctive approach to clinical treatment for depression.ObjectiveTo determine the association of physical activity interventions with depressive symptoms in children and adolescents.Data SourcesPubMed, CINAHL, PsycINFO, EMBASE, and SPORTDiscus were searched from inception to February 2022 for relevant studies written in English, Chinese, or Italian.Study SelectionTwo independent researchers selected studies that assessed the effects of physical activity interventions on depressive symptoms in children and adolescents compared with a control condition.Data Extraction and SynthesisA random-effects meta-analysis using Hedges g was performed. Heterogeneity, risk of bias, and publication bias were assessed independently by multiple reviewers. Meta-regressions and sensitivity analyses were conducted to substantiate the overall results. The study followed the PRISMA reporting guideline.Main Outcomes and MeasuresThe main outcome was depressive symptoms as measured by validated depression scales at postintervention and follow-up.ResultsTwenty-one studies involving 2441 participants (1148 [47.0%] boys; 1293 [53.0%] girls; mean [SD] age, 14 [3] years) were included. Meta-analysis of the postintervention differences revealed that physical activity interventions were associated with a reduction in depressive symptoms compared with the control condition (g = −0.29; 95% CI, −0.47 to −0.10; P = .004). Analysis of the follow-up outcomes in 4 studies revealed no differences between the physical activity and control groups (g = −0.39; 95% CI, −1.01 to 0.24; P = .14). Moderate study heterogeneity was detected (Q = 53.92; df = 20; P &lt; .001; I2 = 62.9% [95% CI, 40.7%-76.8%]). The primary moderator analysis accounting for total physical activity volume, study design, participant health status, and allocation and/or assessment concealment did not moderate the main treatment effect. Secondary analyses demonstrated that intervention (ie, &lt;12 weeks in duration, 3 times per week, unsupervised) and participant characteristics (ie, aged ≥13 years, with a mental illness and/or depression diagnosis) may influence the overall treatment effect.Conclusions and RelevancePhysical activity interventions may be used to reduce depressive symptoms in children and adolescents. Greater reductions in depressive symptoms were derived from participants older than 13 years and with a mental illness and/or depression diagnosis. The association with physical activity parameters such as frequency, duration, and supervision of the sessions remains unclear and needs further investigation.

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Section: Discussionmentioning

confidence: 99%

Physical Activity Interventions to Alleviate Depressive Symptoms in Children and Adolescents

et al. 2023

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“…The exaggerated fall in DBP risk seen in the elderly suggests a process of transmural pressure-induced arterial wall damage resulting in large artery stiffness, enforcing age ≥85 to be a phantom “protective role.” Apart from this observation, there is a marginal difference for SBD and DBP, and for men and women with respect to the role of covariates in high BP risk. Generalized additive models have recently been used to explore the association between physical activity and mental health burden ( 14 ), to investigate the association of depression with dietary inflammatory index ( 15 ), and to predict postoperative acute kidney injury and acute respiratory failure ( 16 ). This study adds the age–blood pressure relationship to a growing list of fields of research that are actively capitalizing on GAM.…”

Section: Discussionmentioning

confidence: 99%

Age-related changes in the risk of high blood pressure

Cheng

Du²,

Zhang

et al. 2022

Front. Cardiovasc. Med.

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Background and aimsUnderstanding the age-related trend of risk in high blood pressure (BP) is important for preventing heart failure and cardiovascular diseases. But such a trend is still underexplored. This study aims to (a) depict the relationship of BP patterns with age, and (b) understand the trend of high BP prevalence over time in different age groups.Materials and methodsHealth check-up data with an observational period of 8 years (January 1, 2011, to December 31, 2018) was used as the data source. A total of 71,468 participants aged over 18 years old with complete information on weight, height, age, gender, glucose, triglyceride, total cholesterol, systolic (SBP), and diastolic blood pressure (DBP) were included for analysis. Generalized additive models were adopted to explore the relationship between the risk of high BP and age. Variance analysis was conducted by testing the trend of high BP prevalence in age groups over time.ResultsRisk of high SBP showed a continuous rise from age 35 to 79 years and a concurrent early increase in the risk of high DBP; after age 50–65 years, high DBP risk declined. The risk of SBP rises linearly with age for men, whereas increases non-linearly for women. In addition, a significant increasing trend of high SBP risk among middle-aged people was found during the past decade, men experienced a later but longer period of increase in high SBP than women.ConclusionThe high SBP risk progresses more rapidly in the early lifetime in women, compared to the lifetime thereafter. Thresholds of increasing trend of SBP suggest a possible need for hypertension screening in China after the age of 40.

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“…On a global scale, overweight and obesity were responsible for approximately 120 million disability-adjusted life years (DALYs) and 4.0 million deaths in 2015 [ 17 ]. Obesity prevalence tripled between 1975 and 2016, with 13% of adults globally (11% of males and 15% of women) obese in 2016 [ 18 ]. Obesity prevalence in Middle Eastern countries was estimated to be 21.17% in a recent comprehensive review and meta-analysis [ 19 ].…”

Section: Introductionmentioning

confidence: 99%

Dose-response association of obesity and risk of mental health among tehranian residents: result of a cross-sectional study

Jibril,

Ganjeh,

Mirrafiei

et al. 2024

BMC Public Health

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Background Obesity and mental health issues are two of the most prevalent global public health issues for a significant portion of people. The purpose of this study was to investigate the relationship between obesity indicators and mental health in Tehran-dwelling Iranian adults. Methods We conducted a cross-sectional study on healthy Iranian adults using a convenience sampling technique. The short form of the Depression Anxiety and Stress Scale (DASS-21) was used to measure the outcome, and independent variables included body mass index (BMI), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), body adiposity index (BAI), and a body shape index (ABSI). The relationship between obesity and mental health was investigated using a multivariate logistic regression model. The non-linear dose-response relationships were evaluated using restricted cubic splines (RCS) with three knots. The Benjamini-Hochberg procedure was used to adjust for multiple testing. Results In our study of 434 participants, females made up 52% of the participants, with a mean age of 38.57 years. In all, 54.6%, 53.9%, and 56.6% were classified as having anxiety, depression, and stress respectively. Logistic regression analysis showed that the odds of mental health components including anxiety, depression, or stress was not significantly different across the tertiles of the obesity indicators. We observed a significant dose-response relationship between BAI and ABSI and the risk of anxiety (PBenjamini-Hochberg 0.028 > Pdose-response 0.023) and stress (PBenjamini-Hochberg 0.028 > Pdose-response 0.003) but not depression (PBenjamini-Hochberg 0.014 < Pdose-response 0.018). The lowest risk for anxiety was observed in people with a BAI of 28% and ABSI equal to 0.079. The risk of stress seemed to increase beyond an ABSI of 0.086. Conclusion Our findings showed no direct linear association between obesity indices and anxiety. However, a dose-response relationship was observed between BAI and ABSI and the risk of anxiety and stress, indicating the need for further investigation.

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Relationship between physical activity and mental health in a national representative cross-section study: Its variations according to obesity and comorbidity

Cited by 13 publications

References 42 publications

Physical Activity Interventions to Alleviate Depressive Symptoms in Children and Adolescents

Physical Activity Interventions to Alleviate Depressive Symptoms in Children and Adolescents

Age-related changes in the risk of high blood pressure

Dose-response association of obesity and risk of mental health among tehranian residents: result of a cross-sectional study

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