Active Commuting and Depression Symptoms in Adults: A Systematic Review

Associations of active commuting and leisure-time physical activity with perceived cognitive function and work ability among Finnish employed adults: a population-based study

BACKGROUND

Regular active commuting - that is, walking or cycling to work - can improve cardiometabolic health and physical fitness among employed adults. This study aimed to examine whether regular active commuting is also associated with perceived cognitive function (memory function, learning ability, and concentration) and work ability. To explore potential differences across physical activity domains, these relationships were additionally assessed for leisure-time physical activity.

METHODS

This study was based on cross-sectional data from the nationally representative FinHealth 2017 Study. Employed participants were categorised based on their commuting and leisure-time physical activity behaviour as either active or passive commuters and as sedentary, recreationally active, or exercisers and athletes, respectively. Covariate-adjusted quasi-Poisson regression was used to estimate relative risks (RR) with 95% confidence intervals (CI). For active commuting, dose-response analyses were also performed.

RESULTS

Among Finnish employed adults (N = 3525; mean age 45 years; 51% female), active commuting was not associated with perceived memory function, concentration, or work ability. However, active commuters had a 17% lower risk of suboptimal perceived learning ability compared to passive commuters (RR 0.83, 95% CI 0.70-0.99). In dose-response analyses, the association was observed only for lower volumes of active commuting (< 15 min a day; RR 0.67, 95% CI 0.50-0.89). Regarding leisure-time physical activity, exercisers and athletes had a 52% lower risk of suboptimal memory function (RR 0.48, 95% CI 0.38-0.60), a 54% lower risk of suboptimal learning ability (RR 0.46, 95% CI 0.36-0.60), a 49% lower risk of suboptimal concentration (RR 0.51, 95% CI 0.39-0.67), and a 65% lower risk of suboptimal work ability (RR 0.35, 95% CI 0.26-0.47) compared to sedentary adults. Similar associations were observed for recreationally active adults.

CONCLUSIONS

Active commuting was associated with better perceived learning ability, suggesting that its benefits may extend to brain health. Leisure-time physical activity may have even greater potential for enhancing cognitive function and work ability among employed adults.

Associations of comorbid headache disorders and depression with leisure-time physical activity among 14,088 adults in The Brazilian Longitudinal Study of Adult Health

BACKGROUND

While headache disorders are linked to low physical activity levels, the impact of depression on this relationship is unclear.

OBJECTIVE

To assess how single and comorbid diagnoses of migraine and tension-type headache (TTH) interact with depression and leisure-time physical activity (LTPA) levels in The Brazilian Longitudinal Study of Adult Health (ELSA-Brasil).

METHODS

In this cross-sectional analysis based on the ELSA-Brasil baseline data, the relationship of migraine, TTH (both assessed with the International Classification of Headache Disorders, Second Edition), and depression (assessed with the Clinical Interview Schedule-Revised) with LTPA levels (International Physical Activity Questionnaire) was investigated by employing linear regression models. Models were adjusted for sociodemographic, lifestyle, and clinical covariates, and interaction terms were created to examine additive effects of comorbid conditions.

RESULTS

Among 14,088 participants, 54.4% (7668/14,088) were female, prevalence rates were: TTH = 39.6% (5573/14,088), migraine = 27.0% (3806/14,088), depression = 0.7% (94/14,088), depression + TTH = 1.1% (148/14,088), and depression + migraine = 2.5% (356/14,088). The mean (standard deviation) LTPA levels across the groups were: no headache + no depression = 148.7 (183.0) min/week, TTH = 133.5 (170.1) min/week, migraine = 110.3 (154.8) min/week, depression = 76.5 (146.3) min/week, depression + TTH = 84.5 (127.7) min/week, and depression + migraine = 64.3 (123.2) min/week. Negative associations were found for depression (β = -55.1, 95% confidence interval [CI] -93.6 to -17.0; p = 0.005), migraine (β = -24.7, 95% CI -33.2 to -15.4; p < 0.001), and TTH (β = -15.5, 95% CI -23.1 to -7.6; p < 0.001) with LTPA. No interaction effect was observed for depression + TTH (β = 36.0, 95% CI -12.6 to 84.6; p = 0.147) and depression + migraine (β = 31.7, 95% CI -11.3 to 74.7; p = 0.149), indicating no additive effect of comorbid conditions on LTPA levels. After adjusting for headache attack frequency, only depression + migraine remained negatively associated with LTPA (β = -38.7, 95% CI -71.6 to -5.8; p = 0.021).

CONCLUSIONS

Headache disorders and depression were independently and inversely associated with LTPA, with the strongest effects seen in depression alone or comorbid with migraine.

Proximity to public transportation and incidence of depression risk among older adults: A three-year longitudinal analysis from the Japan Gerontological evaluation study

OBJECTIVE

Depression in older adults has been associated with environmental factors, such as green spaces and walkable neighborhoods; however, evidence on the relationship between proximity to public transportation and mental health is scarce. This multi-municipality longitudinal study examined the association between proximity to public transportation and risk of depression among older adults and considered car usage.

METHODS

We analyzed data from 4947 functionally independent adults, aged 65 years and older who resided in 25 municipalities across Japan. Data were obtained via the Japan Gerontological Evaluation Study in 2016 and 2019. We assessed depression over three years in older adults without depression at baseline via the Geriatric Depression Scale-15. We subjectively and objectively measured their proximity to public transportation. Logistic regression analyses were performed, adjusted for covariates, with analyses stratified by car usage.

RESULTS

Of the participants, 9.76 % developed depression over a three-year period. Those without car usage and with reported lack of proximal public transport exhibited a higher incidence of depression (OR = 1.60, 95 %CI: 1.05-2.42) compared with those who had better access. No significant association was observed in the car user group. Furthermore, no significant association was observed in the analysis that used objective measures with Geographic Information System (GIS) data.

CONCLUSION

Subjective limited access to public transport was significantly associated with the risk of depression among older adults without car usage. Hence, improving and maintaining transportation infrastructure may mitigate the risk of depression.

Joint association of sedentary behavior and physical activity domains with depression in Korean adults: Cross-sectional study combining four biennial surveys (2016-2022)

Although the increased prevalence of sedentary behavior and insufficient physical activity constitutes a global public health concern, there is limited research on their effects on mental health. We investigated the combined association of sedentary behavior (daily sitting or reclining ≥10 h/day) and physical activity domains (evaluated using the Global Physical Activity Questionnaire, including occupational physical activity, leisure-time physical activity, and transportation-related physical activity) with depression (Patient Health Questionnaire-9, cutoff score: 10). This cross-sectional study utilized biennial data of 21,416 adults (age >20 years) from the Korea National Health and Nutrition Examination Survey waves 7-9 (2016-2022). Joint associations were explored by combining sedentary behavior and each physical activity domain into four levels. Sedentary behavior and occupational physical activity increased the risk of depression, leisure-time physical activity decreased the risk only in men, and transportation-related physical activity showed no significant association. Logistic regression each physical activity domain revealed, for men and women, a significantly higher risk of depression in the sedentary behavior (+)/occupational physical activity (+) group than in the sedentary behavior (-)/occupational physical activity (-) group (odds ratio: 3.05 and 2.66, respectively). The sedentary-behavior (+)/leisure-time physical-activity (-) group showed a significantly higher risk of depression than the sedentary behavior (-)/leisure-time physical activity (+) group (odds ratio: 2.50 and 2.14), and sedentary behavior (+)/transportation-related physical activity (-) group also showed a significantly higher risk of depression compared to the sedentary behavior (-)/transportation-related physical activity (+) group (odds ratio: 1.83 and 1.61). With concurrent exposure to sedentary behavior, the occupational physical activity and lack of leisure time and transportation-related physical activity synergistically increased the risk of depression. Encouraging leisure-time physical activity, minimizing rigorous occupational physical activity, and reducing sedentary behavior may reduce depressive symptoms, and research into specific domains of sedentary behavior and the quantity and quality of transportation-related physical activity is needed.

Health benefits of pedestrian and cyclist commuting: evidence from the Scottish Longitudinal Study

Background

Despite active travel investment increasing, evidence of benefit is often limited to selected health outcomes and a short follow-up period, and cyclists and pedestrians are often analysed together. We aimed to examine prospective associations with multiple health outcomes over 18 years for pedestrians and cyclists separately.

Methods

The Scottish Longitudinal Study is based on census data, from which we selected 82 297 individuals aged 16-74 years. Individuals were followed-up between 2001 and 2018 through linkage to hospitalisation, death and prescription records. Cox proportional hazard models were used to compare cyclist and pedestrian commuters with non-active commuters for a range of health outcomes, controlling for pre-existing health conditions, and demographic and socioeconomic characteristics.

Results

Compared with non-active commuting, cyclist commuting was associated with lower all-cause mortality risk (HR 0.53, 95% CI 0.38 to 0.73), lower risk of any hospitalisation (HR 0.90, 95% CI 0.84 to 0.97), lower risk of cardiovascular disease (CVD) hospitalisation (HR 0.76, 95% CI 0.64 to 0.91) and of having a CVD prescription (HR 0.70, 95% CI 0.63 to 0.78), lower risk of cancer mortality (HR 0.49, 95% CI 0.30 to 0.82) and cancer hospitalisation (HR 0.76, 95% CI 0.59 to 0.98), and lower risk of having a prescription for mental health problems (HR 0.80, 95% CI 0.73 to 0.89). Pedestrian commuting was associated with lower risk of any hospitalisation (HR 0.91, 95% CI 0.88 to 0.93), lower risk of CVD hospitalisation (HR 0.90, 95% CI 0.84 to 0.96) and of having a CVD prescription (HR 0.90, 95% CI 0.87 to 0.93), and lower risk of a mental health prescription (HR 0.93, 95% CI 0.90 to 0.97).

Conclusion

Active commuters were less likely to suffer from a range of negative physical and mental health outcomes than non-active commuters. These findings strengthen the evidence for the health benefits of active commuting.

Does cycle commuting reduce the risk of mental ill-health? An instrumental variable analysis using distance to nearest cycle path

BACKGROUND

Previous studies have linked cycling with improved mental wellbeing but these studies tend to use cross-sectional survey data that have small sample sizes and self-reported health measures, and are potentially susceptible to omitted-variable bias and reverse causation. We use an instrumental variable approach and an objective measure of mental ill-health taken from linked administrative data to ask: 'Does cycle commuting reduce the risk of mental ill-health?'

METHODS

Our study links data on commuting in Edinburgh and Glasgow from the Scottish population census with mental health prescriptions from the National Health Service Prescribing Information System records. We use road distance from home to nearest cycle path as an instrumental variable for cycle commuting.

RESULTS

In total, 378 253 people aged 16-74 years living and working in the City of Edinburgh and Glasgow City council areas at the 2011 census were included in our study; 1.85% of commuters in Glasgow and 4.8% of commuters in Edinburgh cycled to work. Amongst cyclists, 9% had a prescription for mental health compared with 14% amongst non-cyclists. Using a bivariate probit model, we estimate a mean average reduction in prescriptions for antidepressants and/or anxiolytics in the 5 years following the census of -15.1% (95% CI: -15.3% to -15.0%) amongst cycle commuters compared with those who use any other mode to commute.

CONCLUSIONS

This work suggests that cycle commuting is causally related to reduced mental ill-health and provides further evidence in support of the promotion of active travel to encourage commuters travelling shorter distances to shift to cycle commutes.

Changes in active commuting and changes in health: Within- and between-individual analyses among 16 881 Finnish public sector employees

BACKGROUND

Active commuting, such as walking or cycling to work, can be beneficial for health. However, because within-individual studies on the association between change in active commuting and change in health are scarce, the previous results may have been biased due to unmeasured confounding. Additionally, prior studies have often lacked information about commuting distance.

METHODS

We used two waves (2020, T1 and 2022, T2) of self-report data from the Finnish Public Sector study (N = 16,881; 80% female) to examine the within- and between associations (in a hybrid model) between active commuting and health. Exposure was measured by actively commuted kilometers per week, that is, by multiplying the number of walking or cycling days per week with the daily commuting distance. The primary outcome, self-rated health, was measured at T1 and T2. The secondary outcomes, psychological distress, and sleep problems were measured only at T2 and were therefore analyzed only in a between-individual design.

RESULTS

After adjustment for potential time-varying confounders such as socioeconomic factors, body mass index, and health behaviors, an increase equivalent to 10 additional active commuting kilometers per week was associated with a small improvement in self-rated health (within-individual unstandardized beta = 0.01, 95% CI 0.01-0.02; between-individual unstandardized beta = 0.03, 95% CI 0.02-0.04). No associations were observed between changes in active commuting and psychological distress or sleep problems.

CONCLUSIONS

An increase in active commuting may promote self-rated health. However, increase of tens of additional kilometers in commuting every day may be required to produce even a small effect on health.

Active mobility and mental health: A scoping review towards a healthier world

Research has proven that engaging in active mobility (AM), namely walking and cycling for transportation, significantly enhances physical activity levels, leading to better physical health. It is still unclear whether AM could also offer any mental health benefits. This scoping review aims to provide a comprehensive understanding of the current knowledge on the relationship between AM and mental health, given its crucial role in public health. The authors searched online databases to isolate primary studies written in English involving an adult sample (16 or over). AM was the exposure factor. Many mental health elements were included as outcomes (depression, anxiety, self-esteem, self-efficacy, stress, psychological and subjective well-being, resilience, loneliness and social support, quality of life, mood, life satisfaction and sleep). The results were organised in a narrative summary per each outcome selected, graphical syntheses and an overview of gaps to be further examined. The authors identified a total of 55 papers as relevant. The results show inconsistency in study designs, definition and operationalisation of the variables, approach and methodologies used. A cross-sectional design was the dominant choice, primarily examining data from national public health surveys. Nonetheless, there has been improvement in outcomes of interests, initially mainly the quality of life and affect. Lately, authors have focused on a broader range of mental health-related factors (such as travel satisfaction). The experimental studies showed promising mental health improvements in those who used active modes more than those who used motorised vehicles. It creates a rationale for further research towards implementing a unified theoretical and methodological framework to study the link between AM and mental health. The ultimate goal is to generate solid conclusions that could support building societies and cities through public health promotion and sustainable strategies, like walking and cycling as a means of transport.

Physical activity domains and incident clinical depression: A 4-year follow-up analysis from the ELSA-Brasil cohort

AIM

To analyze the prospective dose-response relationships between total and domain-specific physical activity (PA) with incident clinical depression.

METHODS

We used data from two waves (Wave 1: August/2008-December 2010; Wave 2: September/2012-December/2014) of the Brazilian Longitudinal Health Study (ELSA-Brasil) cohort study. Self-reported PA (total, transport, and leisure-time) was the main exposure. Incident clinical depression (new cases of depression between waves) was assessed through the Clinical Interview Schedule-Revised (CIS-R). Poisson regression models, adjusting for potential confounders, were used for data analysis.

RESULTS

In 12,709 adults (53.8 % women, mean age: 51.9 ± 9.0), moderate and high volumes of total PA (1-149 min/week: RR = 0.81, 0.58-1.13, 150-299 min/week: RR = 0.55, 95%CI: 0.40-0.76; ≥300 min/week: RR = 0.64, 95%CI: 0.52-0.80), and any volume of leisure-time PA (1-149 min/week: RR = 0.65, 95%CI: 0.50-0.83; 150-299 min/week: RR = 0.67, 95%CI: 0.52-0.88; RR = 0.61, 95%CI: 0.45-0.82) were associated with a lower risk of incident clinical depression. Transport PA protective only in the lower category (0.1-4.4 mMET-h/wk) (RR = 0.71, 95%CI: 0.54-0.94).

LIMITATIONS

Other PA domains such as occupational and domestic were not assessed; the use of self-report measures for PA which may be subject to bias and recall issues; lack of assessment of additional potential confounders, such as sedentary behavior and family history of depression.

CONCLUSION

Total and leisure-time PA were associated with lower incidence of clinical depression, even at lower doses. Low, moderate, and high volumes of total and leisure-time PA were associated with lower risk of incident clinical depression. Public health PA interventions aiming to prevent development of clinical depression should consider focusing on leisure-time PA.

Correlation of commute time with the risk of subjective mental health problems: 6th Korean Working Conditions Survey (KWCS)

Background

Studies conducted so far on the link between commute time and mental health among Koreans remain insufficient. In this study, we attempted to identify the relationship between commute time and subjective mental health using the 6^th Korean Working Conditions Survey (KWCS).

Methods

Self-reported commute time was divided into four groups: ≤ 30 (group 1), 30-60 (group 2), 60-120 (group 3), and > 120 minutes (group 4). Subjective depression was defined as a score of 50 points or less on the WHO-5 well-being index. Subjective anxiety and fatigue were defined as answering 'yes' to the questionnaire on whether they had experienced it over the past year. The analysis of variance, t-test, and χ² test was used to analyze the differences among the characteristics of the study participants according to commute time, depression, anxiety, and fatigue. Odds ratios (ORs) and 95% confidence intervals (CIs) for depression, anxiety, and fatigue according to commute time were calculated using multivariate logistic regression models adjusted for sex, age, monthly income, occupation, company size, weekly working hours, and shift work status.

Results

Long commute times showed increased ORs and graded increasing trends for depression, anxiety, and fatigue. The ORs for depression increased significantly in group 2 (1.06 [1.01-1.11]), group 3 (1.23 [1.13-1.33]), and group 4 (1.31 [1.09-1.57]) compared to group 1 (reference). The ORs for anxiety increased significantly in group 2 (1.17 [1.06-1.29]), group 3 (1.43 [1.23-1.65]) and group 4 (1.89 [1.42-2.53]). The ORs for fatigue increased significantly in group 2 (1.09 [1.04-1.15]), group 3 (1.32 [1.21-1.43]), and group 4 (1.51 [1.25-1.82]).

Conclusions

This study highlights that the risk of depression, anxiety, and fatigue increases with commute time.

Analyzing Person-Place Interactions During Walking Episodes: Innovative Ambulatory Assessment Approach of Walking-Triggered e-Diaries

BACKGROUND

Walking behavior is positively associated with physiological and mental health as much evidence has already shown. Walking is also becoming a critical issue for health promotion in urban environments as it is the most often used form of active mobility and helps to replace carbon dioxide emissions from motorized forms of transport. It therefore contributes to mitigate the negative effects of climate change and heat islands within cities. However, to promote walking among urban dwellers and to utilize its health-enhancing potential, we need to know more about the way in which physical and social environments shape individual experiences during walking episodes. Such person-place interactions could not adequately be analyzed in former studies owing to methodological constraints.

OBJECTIVE

This study introduces walking-triggered e-diaries as an innovative ambulatory assessment approach for time-varying associations, and investigates its accuracy with 2 different validation strategies.

METHODS

The walking trigger consists of a combination of movement acceleration via an accelerometer and mobile positioning of the cellphone via GPS and transmission towers to track walking activities. The trigger starts an e-diary whenever a movement acceleration exceeds a predetermined threshold and participants' locations are identified as nonstationary outside a predefined place of residence. Every 420 (±300) seconds, repeated e-diaries were prompted as long as the trigger conditions were met. Data were assessed on 10 consecutive days. First, to investigate accuracy, we reconstructed walking routes and calculated a percentage score for all triggered prompts in relation to all walking routes where a prompt could have been triggered. Then, to provide data about its specificity, we used momentary self-reports and objectively assessed movement behavior to describe activity levels before the trigger prompted an e-diary.

RESULTS

Data of 67 participants could be analyzed and the walking trigger led to 3283 e-diary prompts, from which 2258 (68.8%) were answered. Regarding accuracy, the walking trigger prompted an e-diary on 732 of 842 (86.9%) reconstructed walking routes. Further, in 838 of 1206 (69.5%) triggered e-diaries, participants self-reported that they were currently walking outdoors. Steps and acceleration movement was higher during these self-reported walking episodes than when participants denied walking outdoors (steps: 106 vs 32; acceleration>0.2 g in 58.4% vs 19% of these situations).

CONCLUSIONS

Accuracy analysis revealed that walking-triggered e-diaries are suitable to collect different data of individuals' current experiences in situations in which a person walks outdoors. Combined with environmental data, such an approach increases knowledge about person-place interactions and provides the possibility to gain knowledge about user preferences for health-enhancing urban environments. From a methodological viewpoint, however, specificity analysis showed how changes in trigger conditions (eg, increasing the threshold for movement acceleration) lead to changes in accuracy.

Cycling for health: Improving health and mitigating the climate crisis

OBJECTIVE

To review the literature about cycling and health, and to provide an overview and discussion of the available evidence.

SOURCES OF INFORMATION

The MeSH terms bicycle and transportation were searched in PubMed. Clinical trials, practice reviews, and systematic reviews were included. All reference lists were reviewed for additional articles.

MAIN MESSAGE

Climate change is a threat to health. In Canada alone, transportation is the second largest source of greenhouse gas emissions. Active transportation, which is any form of human-powered transportation, can mitigate the health effects of the climate crisis while simultaneously improving the health of people. Physical activity improves overall well-being, as well as physical and mental health. Active transportation, particularly cycling, is a convenient way to meet physical activity targets, reduce risk of disease and all-cause mortality, and derive mental health and social benefits. Family physician advocacy for active transportation has been shown to increase cycling levels in patients compared with no physician advocacy.

CONCLUSION

Family physicians can help to increase the level of active transportation at the individual patient level through patient education and behaviour change counseling; at the community level through community education and political advocacy; and at the policy level through partnerships with larger organizations.

Le cyclisme pour la santé

Objectif

Prendre connaissance de la littérature sur le cyclisme et la santé, et fournir un aperçu des données probantes publiées et en discuter.

Sources d’information

Une recherche a été effectuée sur PubMed à l’aide des mots-clés anglais bicycle et transportation . Les études cliniques, analyses de pratique et revues systématiques ont été incluses. Toutes les listes de références ont été examinées, à la recherche d’autres articles.

Message principal

Le changement climatique est une menace à la santé. Au Canada seulement, les moyens de transport sont la deuxième source d’émissions de gaz à effet de serre. Le transport actif, qui est un moyen de transport propulsé par l’être humain, atténue les effets sur la santé de la crise climatique tout en améliorant la santé. L’activité physique améliore le bien-être général, ainsi que la santé physique et mentale. Le transport actif, particulièrement le vélo, est une façon commode d’atteindre les cibles d’activité physique, de réduire le risque de maladie et de mortalité toutes causes confondues, et de profiter des bienfaits sur la société et sur la santé mentale. La promotion du transport actif par les médecins de famille a augmenté les déplacements à vélo des patients en comparaison avec l’absence de cette promotion.

Conclusion

Les médecins de famille peuvent contribuer à accroître le transport actif au niveau des patients individuels par l’éducation et les conseils visant à modifier les comportements; à l’échelle communautaire, par l’éducation communautaire et le plaidoyer politique; et au niveau des politiques, en s’associant à de plus vastes organisations.

Commuting distance and behavior-related health: A longitudinal study

Health benefits of active commuting and short commuting time are well-documented; however, limited evidence exists on the effects of commuting distance. We examined longitudinal associations between commuting distance and behavior-related health. Participants were from four survey waves of the Swedish Longitudinal Occupational Survey of Health (2012, 2014, 2016, and 2018). Analytical sample included 11,023 individuals and 21,769 observations. Random effects method used binomial logistic regression with generalized estimating equations. The outcomes were self-reported physical inactivity, overweight, smoking, problem drinking, and disturbed sleep. Models were adjusted for age, sex, occupational position, civil status, chronic disease, work strain, number of children under 12, and home/workplace neighborhood socioeconomic status. Using continuous measure, long commuting distance was associated with a higher odds of physical inactivity (OR 1.06; 95% CI, 1.04-1.09 per doubling of distance), overweight (OR 1.02; 95% CI, 1.00-1.04), and disturbed sleep (OR 1.03; 95% CI, 1.00-1.05) in fully adjusted models. Using categorized measure, individuals who commuted longer distance had a higher odds of physical inactivity compared to those with the shortest commute (3.1 km - <7.9 km vs. <3.1 km: OR 1.15; 95% CI, 1.04-1.28 and 7.9 km - <20 km vs. <3.1 km: OR 1.18; 95% CI, 1.06-1.32, fully adjusted model). Such dose-response associations were not observed for overweight or disturbed sleep. Our results suggest short commuting distance may be beneficial for behavior-related health.

Leisure-time exercise is associated with lower depressive symptoms in community dwelling adults

Physical activity has been associated with enhanced mental health among adults. However, it is not clear in the literature which domains (occupational, transport and leisure-time exercise) and intensities (moderate, vigorous and moderate-to-vigorous) of activity provide the greatest benefits. The aim of the present study was to describe the association of different domains and intensities of physical activity with depressive symptoms in adults. This was a cross-sectional observational study conducted among 209 adults (≥18 years) in Brazil. Depressive symptoms were assessed using the HADS questionnaire (Hospital Anxiety and Depression Scale). Physical activity intensities (moderate, vigorous and moderate-to-vigorous) were device-measured by accelerometry. Physical activity in different domains (occupational, transport, and leisure-time exercise) was self-reported using a questionnaire. Chronological age, ethnicity, body mass index, highest academic achievement, employment status, alcohol consumption, tobacco smoking, chronic morbidity and soft-drink ingestion were adopted as adjustment confounding factors. Linear regression analysis revealed that total self-reported physical activity [β = -0.100 (95%CI: -0.180 to -0.019)] and leisure-time exercise [β = -0.311 (95%CI: -0.468 to -0.155)] were negatively associated with depressive symptoms, but only leisure-time exercise remained significant after adjustment for confounding factors [β = -0.243 (95%CI: -0.409 to -0.076)]. Thus, leisure-time exercise was cross-sectionally associated with lower depressive symptoms in community-dwelling adults.Highlights Leisure-time physical activity was the only physical activity domain associated with lower depressive symptoms.This association appears to be independent of potential confounders.Potential interventions should focus on leisure-time domain.

Association between Active Travel to School and Depressive Symptoms among Early Adolescents

Background: Although much evidence has demonstrated the positive relationship of active school travel (AST) and physical health, little is known about the relationship of AST and mental health indicators among early adolescents, especially in Chinese populations. Thus, this study aimed to investigate the relationship of AST with depressive symptoms and its sex as well as age difference among early adolescents from Shanghai urban areas, China. Methods: 6478 adolescents (mean age = 13.6) in urban area were recruited, of whom boys accounted for 46.2%. A self-reported questionnaire in Chinese was used to collect data on AST and depressive symptoms, and other control variables. Multivariable logistic regression analyses were used to explore the relationships of AST with depressive symptoms. Results: Of all included participants, 53.2% of adolescents reported being active in AST without sex difference. The prevalence of depressive symptoms was 19.2% without sex difference. AST was associated with reporting no depressive symptoms in adolescents (adjusted OR = 1.20, 95%CI: 1.06–1.36). However, the relationship was significant in boys (adjusted OR = 1.34, 95%CI: 1.11–1.60), in those who were grade 8 (adjusted OR = 1.25, 95%CI: 1.01–1.55) and 9 (adjusted OR = 1.29, 95%CI: 1.01–1.65) adolescents. Conclusions: AST may play an important role in preventing depressive symptoms among early adolescents. However, the relationship of AST with depressive symptoms differed by sex and age. More research is encouraged to explore the mechanism linking AST and depressive symptoms among adolescents, especially in different contexts.