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Sedentary behavior (SB) may be a risk factor for depression in middle- and old age adults. The aim of this study was to examine cross-sectional and longitudinal relationships between SB and depression in a large national sample of Irish people aged 50 and older taking into account a wide range of previously identified influential factors.

BACKGROUND: Sedentary behavior is a growing public health concern in young adolescents from low- and middle-income countries (LMICs). However, a paucity of multinational studies, particularly in LMICs, have investigated correlates of leisure-time sedentary behavior (LTSB) in young adolescents. In the current study, we assessed socio-demographic, socio-economic, socio-cultural and health behavior related correlates of LTSB among adolescents aged 12-15 years who participated in the Global school-based Student Health Survey (GSHS). METHODS: Self-reported LTSB, which was a composite variable assessing time spent sitting and watching television, playing computer games, talking with friends during a typical day excluding the hours spent sitting at school and doing homework, was analyzed in 181,793 adolescents from 66 LMICs [mean (SD) age 13.8 (1.0) years; 49% girls). Multivariable logistic regression was used to assess the potential LTSB correlates. RESULTS: The overall prevalence of =3 hours/day of LTSB was 26.4% (95%CI = 25.6%-27.2%). Increasing age (OR = 1.14; 95%CI = 1.11-1.17), past 30-day smoking (OR = 1.85; 95%CI = 1.69-2.03), alcohol consumption (OR = 2.01; 95%CI = 1.85-2.18), and bullying victimization (OR = 1.39; 95%CI = 1.31-1.48) were positively associated with increased LTSB across the entire sample of 181,793 adolescents. Food insecurity (OR = 0.93; 95%CI = 0.89-0.97) and low parental support/monitoring (OR = 0.91; 95%CI = 0.85-0.98) were negatively associated with LTSB. There were some variations in the correlates between countries. CONCLUSIONS: Our data indicate that in adolescents aged 12 to 15 years living in LMICs, LTSB is a complex and multi-dimensional behavior determined by socio-demograhic, sociocultural, socio-economic, and health behavior related factors. Future longitudinal data are required to confirm/refute these findings, and to inform interventions which aim to reduce sedentary levels in adolescents living in LMICs.

Physical inactivity is a serious public health concern in adolescents from low- and middle-income countries (LMICs). Despite this, only a few multinational studies has investigated correlates of physical activity (PA) in young adolescents in this part of the world. In this study, we identified physical activity correlates using data from the Global school-based Student Health Survey. In total, 142,118 adolescents from 48 LMICs (age 13.8?±?1.0?years; 49% girls) were included in the analyses. PA was assessed by the PACE+ Adolescent Physical Activity Measure and participants were dichotomised into those who do (60?min of moderate-vigorous PA every day of the week) and do not comply with the World Health Organization recommendations. We used multivariable logistic regression in order to assess the correlates. The prevalence of low PA was 15.3% (95%CI?=?14.5%-16.1%). Boys (OR?=?1.64; 95%CI?=?1.47-1.83) and those who participated in physical education for =5?days/week (OR?=?1.12; 95%CI?=?1.10-1.15) were more likely to meet PA guidelines, while adolescents with food insecurity (OR?=?0.85; 95%CI?=?0.80-0.90), low fruit and vegetable intake (OR?=?0.68; 95%CI?=?0.63-0.74), low parental support/monitoring (OR?=?0.68; 95%CI?=?0.62-0.74), no friends (OR?=?0.80; 95%CI?=?0.72-0.88), and who experienced bullying (OR?=?0.93; 95%CI?=?0.86-0.99) were less likely to have adequate levels of PA. There were a few variations in the correlates depending on country-income level. Our data indicate that in adolescents aged 12 to 15?years living in LMICs physical activity participation is a complex and multi-dimensional behavior determined by sociocultural, socio-economic, and policy-related factors. Longitudinal research is needed to confirm/refute the present findings.

INTRODUCTION: Loneliness is widespread and associated with deleterious outcomes in middle-aged and older age people in low- and middle-income countries (LMICs). Physical activity is one potential psychosocial strategy with the potential to reduce loneliness in this population. Thus, the aim of this study was to explore associations between physical activity (PA) and loneliness in middle-aged and older people from six LMICs. MATERIALS AND METHODS: Data from the Study on Global Ageing and Adult Health (SAGE) were analyzed. Self-reported data on loneliness and PA (as assessed by the Global Physical Activity Questionnaire) were collected. Participants were dichotomized into those who do and do not meet the international recommendation of 150 minutes of moderate to vigorous PA per week. Associations between loneliness and PA were examined using logistic regressions. RESULTS: Among 34 129 individuals aged 50 years or older, the prevalence of loneliness was higher among those not meeting the PA guidelines in all countries, although this difference was not significant in Mexico and South Africa. After full adjustment, not meeting PA guidelines was positively associated with loneliness in the meta-analysis based on country-wise estimates, with a moderate level of between-country heterogeneity being observed (OR = 1.31; 95% CI, 1.07-1.61; I(2) = 48.7%). At an individual country level, statistical significance was only reached in Ghana (OR = 1.89; 95% CI = 1.44-2.49). DISCUSSION: Our data suggest that physical inactivity and loneliness commonly co-occur in adults aged 50 years or older in LMICs overall but that this association differs by country. Longitudinal studies are required to confirm these findings and investigate potential mechanisms that may inform future interventions.

OBJECTIVES: Sleep problems are burdensome in adolescents. Understanding modifiable environmental risk factors is essential. There is evidence that physical activity is protective against sleep problems in adolescents. However, the association between sedentary behavior (SB) and anxiety-induced sleep disturbance has not been investigated. METHODS: Using cross-sectional data from the Global school-based Student Health Survey, we explored the association between SB and anxiety-induced sleep disturbance in 181,093 adolescents [mean (standard deviation, SD) age 13.7 (1.0) years; 48.4% girls] from 67 countries, controlling for confounders (including physical activity). Adolescents reported anxiety-induced sleep disturbance during the past 12 months, and SB, which was a composite variable assessing time spent sitting and watching television, playing computer games, talking with friends during a typical day excluding the hours spent sitting at school and doing homework. Multivariable logistic regression analysis was conducted and a countrywide meta-analysis undertaken. RESULTS: Overall, 7.8% of adolescents had anxiety-induced sleep disturbance. The prevalence of SB was: 8 h/day 3.6%. Compared to 8 h/day was associated with a 2.27 [95% confidence interval (CI) = 1.98-2.62] times higher odds for anxiety-induced sleep disturbance. The association was similar among both sexes. The pooled odds ratio for anxiety-induced sleep disturbance when being sedentary =3 h/day was 1.42 (95% CI = 1.36-1.48) with only a small degree of between-country heterogeneity (I(2) = 41.4%). CONCLUSIONS: Future longitudinal data are required to confirm/refute the findings to inform public interventions which aim to reduce anxiety and sleep disturbance in adolescents.

Mats Hallgren,1 Davy Vancampfort,2,3 Brendon Stubbs4,5 1Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden; 2Department of Rehabilitation Sciences, 3University Psychiatric Centre – KU Leuven, KU Leuven – University of Leuven, Leuven, Belgium; 4Department of Physiotherapy, South London and Maudsley NHS Foundation Trust, 5Department of Health Service and Population Research, Institute of Psychiatry, Psychology and Neuroscience, King’s College London,London, UKIn a recent perspectives article, Gerber et al argue persuasively that more systematic efforts are needed to utilize the considerable treatment potential of exercise in psychiatric care. Specifically, the authors highlight the inherent difficulties that clinicians and researchers face when encouraging patients to initiate and maintain a regular physical activity program. These obstacles relate to dysfunctional cognitive–emotional processes which, the authors argue, can interfere with patients’ capacity to self-regulate health-related behaviors such as exercise.View the original article by Gerber et al

Sedentary behaviour is associated with poor mental health, diabetes and cardiovascular disease, all of which are a concern among hazardous drinkers. Little is known about sedentary behaviour and it's correlates in hazardous drinkers, particularly in low- and middle-income countries. We investigated correlates of sedentary behaviour among community-dwelling adults aged =18 years with hazardous drinking patterns in six low- and middle-income countries. Cross-sectional data were analyzed from the World Health Organization's Study on Global Ageing and Adult Health. Hazardous drinking was defined as consuming >7 (females) or >14 (males) standard drinks per week. Associations between time spent sedentary and a range of correlates were examined using multivariable linear and logistic regression. The mean time spent sedentary in 2142 individuals with hazardous drinking patterns (mean age = 45.7 years; 13% female) was 216±135min/day. Nine percent (95%CI=6.1-13.2%) were sedentary for =8h per day. Living in an urban setting and unemployment were strong sociodemographic correlates of being sedentary for =8h per day. From a health-related perspective, weak grip strength, stroke and disability were associated with increasing time spent sedentary. The current data provides important guidance for future interventions across low- and middle-income countries to assist hazardous drinkers to reduce sedentary behaviour.

We investigated physical activity (PA) correlates among middle-aged and older adults (aged =50 years) with hazardous drinking patterns in six low- and middle-income countries. Cross-sectional data were analyzed from the World Health Organization's Study on Global Ageing and Adult Health. Hazardous drinking was defined as consuming 7 (females) or 14 (males) standard drinks per week. Participants were dichotomized into low (i.e., not meeting 150 min of moderate PA/week) and moderate-high physically active groups. Associations between PA and a range of correlates were examined using multivariable logistic regressions. The prevalence of low PA in 1,835 hazardous drinkers (60.5 ± 13.1 years; 87.9% males) was 16.2% (95% confidence interval [13.9%, 18.9%]). Older age, living in an urban setting, being unemployed, depression, underweight, obesity, asthma, visual impairment, poor self-rated health, and higher levels of disability were identified as significant PA correlates. The current data provide important guidance for future interventions to assist older hazardous drinkers to engage in regular PA.

BACKGROUND: Sedentary behavior (SB) is associated with poor cognitive performance. However, the contribution of sedentary time to risk of mild cognitive impairment (MCI) remains unclear. This study assessed the association of SB with MCI in six low- and middle-income countries. METHODS: The Study on Global Ageing and Adult Health (SAGE) survey included 34,129 adults aged =50?years [mean (SD) age 62.1 (15.6) years; 51.7% females]. SB was self-reported and expressed as a categorical variable [

OBJECTIVE: Although physical activity (PA) is associated with a reduction of a wide range of sleep problems, it remains uncertain whether complying with the international guidelines of 150 min of moderate to vigorous PA per week can reduce sleep problems in adults. This research investigated the relationship between compliance with the PA recommendations of the World Health Organization and sleep problems in 38 low- and middle-income countries (LMICs). METHODS: Cross-sectional, community-based data from the World Health Survey were analyzed. Adjusted logistic regression analyses were undertaken to explore the relationship between PA levels using the International Physical Activity Questionnaire and self-reported sleep problems (such as difficulties falling asleep, waking up frequently during the night or waking up too early in the morning) in the last 30 days. RESULTS: Across 204,315 individuals (38.6 ± 16.1 years; 49.3% males), the overall prevalence (95% CI) of low PA and sleep problems were 29.9% (29.1-30.8%) and 7.5% (7.2-7.9%), respectively. After adjusting for socio-demographics, obesity, chronic physical conditions, depression, and anxiety; not complying with PA recommendations was associated with higher odds for sleep problems overall [odds ratio (OR) = 1.23, 95% CI = 1.10-1.38] as well as across the entire age range: 18-34 years (OR = 1.26; 95% CI = 1.02-1.57); 35-64 years (OR = 1.17; 95% CI = 1.01-1.35); and age =65 years (OR = 1.40; 95% CI = 1.11-1.76). CONCLUSIONS: Not complying with international PA recommendations is associated with higher odds of sleep problems, independently of depression and anxiety in LMICs. Future longitudinal and interventional studies are warranted to assess whether increasing PA levels may improve sleep problems in this setting.

OBJECTIVE: This cross-sectional study assessed the association of chronic physical conditions and multimorbidity with anxiety among community-dwelling adults in 42 countries. METHOD: Data were analyzed from the World Health Survey including 181,845 adults aged =18years. Anxiety in the past 30days and nine chronic physical conditions (angina, arthritis, asthma, chronic back pain, diabetes, edentulism, hearing problem, tuberculosis, and visual impairment) were assessed. Multivariable logistic regression analyses were conducted to explore the associations between chronic physical conditions or the number of them and anxiety. RESULTS: After adjustment for confounders, most of the individual chronic physical conditions were significantly associated with anxiety. Compared to those with no physical health conditions, one condition was associated with an almost twofold increased odds of anxiety symptoms (OR=1.94; 95%CI=1.76-2.13), while this figure rose to 5.49 (3.73-8.09) in those with =5 conditions. CONCLUSIONS: Our data suggest that increasing numbers of chronic physical conditions are associated with higher odds for anxiety. Health care providers should consider the presence of anxiety symptoms especially in individuals with physical multimorbidity.

BACKGROUND: There is a paucity of nationally representative data available on the correlates of physical activity (PA) among people with depression, especially in low- and middle-income countries (LMICs). Thus, we investigated PA correlates among community-dwelling adults with depression in this setting. METHODS: World Health Survey data included 24,230 adults (43.1 ± 16.1 years; 36.1% male) with ICD-10 diagnoses of depression including brief depressive episode and subsyndromal depression aged = 18 years from 46 LMICs. PA was assessed by the International Physical Activity Questionnaire. Participants were dichotomised into low and moderate-to-high physically active groups. Associations between PA and a range of sociodemographic, health behaviour and mental and physical health variables were examined using multivariable logistic regressions. RESULTS: 34.8% of participants with depression were physically inactive. In the multivariate analyses, inactivity was associated with male sex, older age, not being married/cohabiting, high socio-economic status, unemployment, living in an urban setting, less vegetable consumption, and poor sleep/ low energy. In addition, mobility difficulties and some somatic co-morbidity were associated with not complying with the 150min per week moderate-to-vigorous PA recommendations. CONCLUSIONS: The current data provide guidance for future population level interventions across LMICs to help people with depression engage in regular PA.

Background: As distinct from mentally-active sedentary behaviors (e.g. reading), passive sedentary behaviors (e.g. TV-viewing) have been linked to a higher risk of depression, but the underlying mechanisms are unclear. We examined the potential mediating role of sleep problems in prospective relationships of passive sedentary behaviors with major depressive disorder (MDD). Method: In 1997, 43 863 adults were surveyed and responses linked to clinician diagnoses of MDD until 2010. The questionnaire included items on sedentary behavior and sleep problems (Karolinska Sleep Questionnaire). Cox proportional hazard models and the ‘counterfactual approach’ were used to identify potential mediating effects of sleep problems in the association of passive sedentary behavior and MDD. Results: Of the total sample, 3,065 (7.6%) were excluded for having indications of depression at baseline. Of 33,116 participants with complete data (mean age = 51.3 years, SD = 15.7, 64% female); 472 (1.4%) incident cases of MDD were identified during the 13-year follow-up. In Cox regression analyses, higher durations of passive sedentary behavior (≥3 h/day versus

BackgroundSedentary behaviour can be associated with poor mental health, but it remains unclear whether all types of sedentary behaviour have equivalent detrimental effects.AimsTo model the potential impact on depression of replacing passive with mentally active sedentary behaviours and with light and moderate-to-vigorous physical activity. An additional aim was to explore these relationships by self-report data and clinician diagnoses of depression.MethodIn 1997, 43 863 Swedish adults were initially surveyed and their responses linked to patient registers until 2010. The isotemporal substitution method was used to model the potential impact on depression of replacing 30 min of passive sedentary behaviour with equivalent durations of mentally active sedentary behaviour, light physical activity or moderate-to-vigorous physical activity. Outcomes were self-reported depression symptoms (cross-sectional analyses) and clinician-diagnosed incident major depressive disorder (MDD) (prospective analyses).ResultsOf 24 060 participants with complete data (mean age 49.2 years, s.d. 15.8, 66% female), 1526 (6.3%) reported depression symptoms at baseline. There were 416 (1.7%) incident cases of MDD during the 13-year follow-up. Modelled cross-sectionally, replacing 30 min/day of passive sedentary behaviour with 30 min/day of mentally active sedentary behaviour, light physical activity and moderate-to-vigorous activity reduced the odds of depression symptoms by 5% (odds ratio 0.95, 95% CI 0.94–0.97), 13% (odds ratio 0.87, 95% CI 0.76–1.00) and 19% (odds ratio 0.81, 95% CI 0.93–0.90), respectively. Modelled prospectively, substituting 30 min/day of passive with 30 min/day of mentally active sedentary behaviour reduced MDD risk by 5% (hazard ratio 0.95, 95% CI 0.91–0.99); no other prospective associations were statistically significant.ConclusionsSubstituting passive with mentally active sedentary behaviours, light activity or moderate-to-vigorous activity may reduce depression risk in adults.

Regular physical activity (PA) appears to protect against the emergence of depression, but prospective studies linked to clinician diagnoses of major depressive disorder (MDD) remain scarce. It is also unclear whether PA levels recommended for general health are prospectively related to depression onset. We explored these relationships in a cohort of adults followed over 13 years. In total, 43,863 Swedish adults were surveyed in 1997 and responses linked to clinician-diagnosed MDD obtained from specialist medical registers until 2010. Weekly durations of habitual moderate (including walking) and vigorous PA were self-reported. Relationships between total durations of PA, 0-149 ('below'), 150-299 ('achieve'), and ≥300 min ('exceed') with incident MDD were explored using survival analysis with Cox proportional hazards regression. Models were adjusted for relevant covariates. Those with indications of depression at baseline were removed from the primary analyses. Of 25,520 participants with complete data (mean age = 49 years, SD = 16, 65% female), 76% met the recommended weekly duration of PA (≥150 min), and 38% exceeded this duration (≥300 min). During 13-years follow-up 549 MDD cases (1.5%) were identified (incidence rate = 111 cases per 100,000 person-years). Compared to participants who were below, those who exceeded the recommended weekly duration (≥300 min/week) had 29% reduced risk of depression onset (HR 0.71, 95% CI = 0.53-0.96). A non-significant inverse association was observed among those who achieved the minimum duration of 150-min/week (HR 0.86, 95% CI = 0.64-1.14). Habitual PA levels that exceed the duration recommended for general health may reduce the risk of clinician-diagnosed major depression in adults. ispartof: PREVENTIVE MEDICINE vol:118 pages:38-43 ispartof: location:United States status: published

Importance Objective physical fitness measures, such as handgrip strength, are associated with physical, mental, and cognitive outcomes in the general population. Although people with mental illness experience reduced physical fitness and cognitive impairment, the association between muscular strength and cognition has not been examined to date. Objective To determine associations between maximal handgrip strength and cognitive performance in people with major depression or bipolar disorder and in healthy controls. Design, Setting, and Participants In a multicenter, population-based study conducted between February 13, 2005, and October 1, 2010, in the United Kingdom, cross-sectional analysis was conducted of baseline data from 110 067 participants in the UK Biobank. Data analysis was performed between August 3 and August 18, 2017. Invitations were mailed to approximately 9.2 million UK homes, recruiting 502 664 adults, all aged 37 to 73 years. Clinically validated measures were used to identify individuals with major recurrent depression (moderate or severe) or bipolar disorder (type I or type II) and healthy controls (those with no indication of present or previous mood disorders). Main Outcomes and Measures Handgrip dynamometry was used to measure muscular function. Cognitive functioning was assessed using computerized tasks of reaction time, visual memory, number memory, reasoning, and prospective memory. Generalized linear mixed models assessed the association between handgrip strength and cognitive performance, controlling for age, educational level, sex, body weight, and geographic region. Results Of the 110 067 participants, analyses included 22 699 individuals with major depression (mean [95% range] age, 55.5 [41-68] years; 7936 [35.0%] men), 1475 with bipolar disorder (age, 54.4 [41-68] years; 748 [50.7%] men), and 85 893 healthy controls (age, 53.7 [41-69] years; 43 000 [50.0%] men). In those with major depression, significant positive associations (P Conclusions and Relevance Grip strength may provide a useful indicator of cognitive impairment in people with major depression and bipolar disorder. Future research should investigate causality, assess the functional implications of handgrip strength in psychiatric populations, and examine how interventions to improve muscular fitness affect neurocognitive status and socio-occupational functioning.

Background Sedentary behavior (SB) is associated with diabetes, cardiovascular disease and low mood. There is a paucity of multi-national research investigating SB and depression, particularly among low- and middle-income countries. This study investigated the association between SB and depression, and factors which influence this. Methods Cross-sectional data were analyzed from the World Health Organization's Study on Global Ageing and Adult Health. Depression was based on the Composite International Diagnostic Interview. The association between depression and SB (self-report) was estimated by multivariable linear and logistic regression analyses. Mediation analysis was used to identify influential factors. Results A total of 42,469 individuals (50.1% female, mean 43.8 years) were included. People with depression spent 25.6 (95%CI8.5–42.7) more daily minutes in SB than non-depressed participants. This discrepancy was most notable in adults aged ≥ 65 y (35.6 min more in those with depression). Overall, adjusting for socio-demographics and country, depression was associated with a 1.94 (95%CI1.31–2.85) times higher odds for high SB (i.e., ≥ 8 h/day). The largest proportion of the SB-depression relationship was explained by mobility limitations (49.9%), followed by impairments in sleep/energy (43.4%), pain/discomfort (31.1%), anxiety (30.0%), disability (25.6%), cognition (16.1%), and problems with vision (11.0%). Other health behaviors (physical activity, alcohol consumption, smoking), body mass index, and social cohesion did not influence the SB-depression relationship. Conclusion People with depression are at increased risk of engaging in high levels of SB. This first multi-national study offers potentially valuable insight for a number of hypotheses which may influence this relationship, although testing with longitudinal studies is needed.

Background: People with schizophrenia engage in low levels of physical activity (PA). However, few large-scale studies have investigated the factors that may influence PA participation in individuals with psychosis and data from low- and middle-income countries (LMICs) is especially scarce. Thus, we investigated PA correlates in a large sample of people with a psychosis diagnosis across 47 LMICs. Methods: Cross-sectional data from the World Health Survey, restricting to those with a self-reported lifetime diagnosis of schizophrenia/psychotic disorder, was analyzed. PA was assessed by the International Physical Activity Questionnaire (IPAQ) and participants were dichotomized into those that do and do not (low PA) meet the minimum recommended PA weekly targets (≥ 150 min). A range of socio-demographic, health behavior, and mental and physical health variables were examined using random effects logistic regression. Results: Overall 2407 people (mean 42.0 years, 41.5% males) with schizophrenia/psychosis were included. The prevalence of low PA was 39.2% (95%CI = 37.0%–41.2%). Male sex (odds ratio (OR) = 1.33), increasing age, unemployment (vs. employed OR = 2.50), urban setting (vs. rural OR = 1.75), inadequate fruit consumption (vs. adequate fruit intake OR = 3.03), depression (OR = 1.33), sleep/energy disturbance, and mobility limitations were significantly associated with low PA. Marital status, education, wealth, smoking, vegetable and alcohol consumption, anxiety, cognition, pain, and chronic medical conditions were not significant correlates. Conclusion: PA is influenced by a range of factors among people with psychosis. These correlates should be considered in interventions aiming to facilitate PA in psychotic individuals living in LMICs.

Physical activity (PA) may be therapeutic for people with severe mental illness (SMI) who generally have low PA and experience numerous life style-related medical complications. We conducted a meta-review of PA interventions and their impact on health outcomes for people with SMI, including schizophrenia-spectrum disorders, major depressive disorder (MDD) and bipolar disorder. We searched major electronic databases until January 2018 for systematic reviews with/without meta-analysis that investigated PA for any SMI. We rated the quality of studies with the AMSTAR tool, grading the quality of evidence, and identifying gaps, future research needs and clinical practice recommendations. For MDD, consistent evidence indicated that PA can improve depressive symptoms versus control conditions, with effects comparable to those of antidepressants and psychotherapy. PA can also improve cardiorespiratory fitness and quality of life in people with MDD, although the impact on physical health outcomes was limited. There were no differences in adverse events versus control conditions. For MDD, larger effect sizes were seen when PA was delivered at moderate-vigorous intensity and supervised by an exercise specialist. For schizophrenia-spectrum disorders, evidence indicates that aerobic PA can reduce psychiatric symptoms, improves cognition and various subdomains, cardiorespiratory fitness, whilst evidence for the impact on anthropometric measures was inconsistent. There was a paucity of studies investigating PA in bipolar disorder, precluding any definitive recommendations. No cost effectiveness analyses in any SMI condition were identified. We make multiple recommendations to fill existing research gaps and increase the use of PA in routine clinical care aimed at improving psychiatric and medical outcomes.