Distinct associations of different sedentary behaviors with health-related attributes among older adults

The relationship between sedentary behavior and depression in older adults: A systematic review and meta-analysis

BACKGROUND

The association between sedentary behavior and depression in older adults has been reported in several studies; however, study results on the relationship between the different types of sedentary behavior and depression are not uniform. The purpose of this study was to quantitatively review the association between depression and total sedentary behavior, mentally active sedentary behavior, and passive sedentary behavior.

METHODS

We systematically searched for observational studies on the association between sedentary behavior and depression in older adults using PubMed, Embase, and Web of Science databases. A random effects model was used to combine odds ratios (ORs) and 95 % confidence intervals (CIs). In addition, we performed subgroup and sensitivity analyses to explore potential sources of heterogeneity.

RESULTS

Five longitudinal and 10 cross-sectional studies with a total of 144,161 participants were included in the meta-analysis. The OR of total sedentary behavior associated with depression was 1.49 (95 % CI 1.24-1.79). The combined OR value of mentally active sedentary behavior and depression was 0.82 (95 % CI 0.69-0.97), and no association was found between passive sedentary behavior and the risk of depression.

LIMITATIONS

We were unable to find dose-response relationships between the different types of sedentary behavior and depression because there were too few studies with raw data to analyze.

CONCLUSION

Total sedentary behavior may increase the risk of depression in older adults, whereas mentally active sedentary behavior is associated with a lower risk of depression. Differentiating between the types of sedentary behavior can inform interventions to prevent or ameliorate depression in older adults.

A Potential Role for MAGI-1 in the Bi-Directional Relationship Between Major Depressive Disorder and Cardiovascular Disease

PURPOSE OF REVIEW

Major Depressive Disorder (MDD) is characterized by persistent symptoms such as fatigue, loss of interest in activities, feelings of sadness and worthlessness. MDD often coexist with cardiovascular disease (CVD), yet the precise link between these conditions remains unclear. This review explores factors underlying the development of MDD and CVD, including genetic, epigenetic, platelet activation, inflammation, hypothalamic-pituitary-adrenal (HPA) axis activation, endothelial cell (EC) dysfunction, and blood-brain barrier (BBB) disruption.

RECENT FINDINGS

Single nucleotide polymorphisms (SNPs) in the membrane-associated guanylate kinase WW and PDZ domain-containing protein 1 (MAGI-1) are associated with neuroticism and psychiatric disorders including MDD. SNPs in MAGI-1 are also linked to chronic inflammatory disorders such as spontaneous glomerulosclerosis, celiac disease, ulcerative colitis, and Crohn's disease. Increased MAGI-1 expression has been observed in colonic epithelial samples from Crohn's disease and ulcerative colitis patients. MAGI-1 also plays a role in regulating EC activation and atherogenesis in mice and is essential for Influenza A virus (IAV) infection, endoplasmic reticulum stress-induced EC apoptosis, and thrombin-induced EC permeability. Despite being understudied in human disease; evidence suggests that MAGI-1 may play a role in linking CVD and MDD. Therefore, further investigation of MAG-1 could be warranted to elucidate its potential involvement in these conditions.

The association of physical activity and leisure-time sedentary behavior with perceived stress among Chinese adults: A cross-sectional study based on the Chinese health and nutrition survey data

Objective

Physical activity (PA) and sedentary behavior (SB) include several domains, whether the association of PA and SB with perceived stress is domain-specific is not clear. This study aims to identify associations of physical activity (exercise and housework) and leisure-time sedentary behavior (LTSB) with perceived stress among Chinese adults.

Methods

The data were collected from the 2015 China Health and Nutrition Survey (CHNS). Respondents completed multiple questionnaires developed by the CHNS team, from which we extracted and sorted PA and LTSB data. Perceived stress was measured using the 14-item Perceived Stress Scale. PA was measured using a questionnaire covering 7 types of commonly practiced exercises and 4 types of housework activities among Chinese individuals. Consecutive questions were used to inquire about the time spent on each type of PA. The measurement of LTSB was conducted in the same manner. Data analysis involved Chi-square test and logistic regression.

Results

11,471 adults were included, with an average age of 52.3 years, and 48.3 % were male. 69.9 % (8,019) of respondents reported high perceived stress. Following adjustment for age, gender and other factors, perceived stress was lower for adults reporting medium exercise time (1-2 h) compared with excessively (≥2 h) (OR=1.314 [95 %CI 1.071, 1.612], P<0.001) and least (<1 h) (OR=1.273 [95 %CI 1.115, 1.413], P<0.001) active adults. Perceived stress was higher for adults reporting less housework time (<1 h) compared with adults spending medium (1-2 h) (OR=0.860 [0.744, 0.993], P<0.05) and long (≥2 h) (OR=0.725 [95 %CI 0.628, 0.838], P<0.001) time on housework. Low-level LTSB (<2 h) was associated with higher perceived stress than medium- (2-4 h) (OR=0.817 [0.718, 0.930], P<0.01) and high-level LTSB (≥4 h) (OR=0.668 [0.577, 0.773], P<0.001).

Conclusions

The association of PA and SB with perceived stress is domain-specific. Medium exercise time and extended housework time are associated with reduced perceived stress. Additionally, our findings suggesting that increasing the time spent on LTSB is linked to lower perceived stress levels.

Associations between domains of sedentary behavior, well-being, and quality of life - a cross-sectional study

The importance of reducing sedentary behavior (SB) in the prevention of mortality and chronic and mental diseases is scientifically well grounded, but SB can be accumulated in diverse domains of life, such as leisure-time SB, transport between home/work/school when sitting (transport-related SB), or in occupational settings such as working or studying (occupational SB), and the associations for each domain of SB with well-being measures and quality of life are still underexplored from a positive perspective. Through a cross-sectional investigation, we collected data from 584 participants who completed a questionnaire throughout November 2021 and with Spearman correlation test, analysed the associations between SB in three different domains with psychological well-being, satisfaction with life, and quality of life. Our results indicated that after adjustment for physical activity, sex, body mass index, smoking history, chronic disease status, financial perception, quality/duration of sleep and university group, in younger adults (18 to 24 years old), leisure-time SB was negatively related to psychological well-being (rho = -0.255; p = 0.008), and in adults (25 to 64 years old), occupational SB was negatively related to satisfaction with life (rho = -0.257; p < .001) and the mental component of quality of life (rho = -0.163; p = 0.027). Our findings highlight the idea that not all SB is built the same and that future strategies to reduce SB from people's lives must target specific domains of SB according to the age group when aiming to improve well-being and quality of life.

Association Between Typologies of Sedentary Behavior and Muscle Strength, Gait Speed, and Balance in Community-Dwelling Older Adults

Knowledge of how the different types of sedentary behaviors (SB) are associated with functional limitations can guide professionals who work with older adults on better recommendations about the amount of daily time that should be encouraged in each type of SB. The objective was to estimate the associations between two SB typologies (SB television [TV] and SB computer/internet) and the presence of handgrip strength, lower limb strength, gait speed, and balance limitations in Brazilian community-dwelling older adults. This is a cross-sectional study with 1,298 community-dwelling older adults (≥60 years). SB was assessed by self-reporting daily time spent watching TV or using computer/internet (categorized into <2, 3-4, and ≥5 hr/day). Outcomes were handgrip strength, lower limb strength, gait speed, and balance limitations considering referenced cutoff points. Older adults in SB TV ≥5 hr/day had 1.75 (95% confidence interval [CI] [1.07, 2.86]) and 1.88 (95% CI [1.02, 3.46]) times more chances of handgrip strength and gait speed limitations, respectively. On the other hand, those who spent 3-4 and ≥5 hr/day in SB computer/internet had 0.45 (95% CI [0.20, 0.99]) and 0.37 (95% CI [0.15, 0.93]) had less chances of lower limb strength and balance limitations, respectively. In conclusion, functional limitations would be associated differently depending on the type of SB in the older adults sampled.

Mentally-passive sedentary behavior and incident depression: Mediation by inflammatory markers

BACKGROUND

Sedentary behavior (SB; time spent sitting, as distinct from lack of exercise or physical activity) is associated with depression, yet little is known about the relationship between different types of SB (e.g., mentally-passive versus mentally-active) with depression and potential biological mediators of these associations.

METHODS

We used cohort data from the 1958 National Child Development Study (n = 4607; 50.4 % women), conducted in UK, employing the 44 y and 46 y waves as baseline, and the 50 y and 55 y waves as follow-up. Participants reported time spent in TV viewing and watching videos (mentally-passive SB); and, time sitting while doing light activities such as deskwork or driving a car during worktime (mentally-active SB). Depression diagnosis was self-reported during the initial and follow-up waves. Waist circumference, C-reactive protein, and glycated hemoglobin were examined as potential mediators.

RESULTS

Mentally-passive SB was associated with incident depression (HR: 1.43; 95%CI: 1.19; 1.71), while there was no association for mentally-active SB. Waist circumference (coefficient: -0.03; 95%CI: -0.05; -0.01; 9.2 %) and C-reactive protein (coefficient: -0.03; 95%CI: -0.04; -0.01; 8.3 %), but not glycated hemoglobin, partly mediated the association for mentally-passive SB.

CONCLUSIONS

In the relationship of mentally-passive SB with incident depression, the mediating contributions of waist circumference and C-reactive protein point to possible inflammatory-related mechanisms.

Development and validity of a mentally-passive and mentally-active sedentary time questionnaire in nursing college students

Objective

This study aimed to develop and validate a questionnaire to evaluate nursing college students' mentally-passive and mentally-active sedentary time (M-PAST) in China.

Methods

An initial M-PAST questionnaire with mentally-passive and mentally-active sedentary behaviors was developed with content validity undertaken through a consensus panel and pilot test where a convenience sample of six nursing students was recruited to assess the relevance, comprehensiveness, and comprehensibility of the refined questionnaire after expert panelists' responses. A cross-sectional online survey using a self-reported questionnaire was distributed to nursing students by email and then conducted using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) to assess the construct validity of the M-PAST questionnaire and factor structures. Finally, the criterion validity was examined by exploring the associations between the M-PAST and the IPAQ sitting time, psychological distress, and insomnia.

Results

Eight items regarding learning and leisure were included in the final version of the M-PAST questionnaire. A group of 650 nursing college students in China completed the study. Principal component analysis revealed two factors (i.e., mentally-passive and mentally-active sedentary behaviors), which explained 41.98% of the variance contributing to the questionnaire. The CFA reached the adaptive standard. Cronbach's α ranged from 0.730 to 0.742. The correlations between M-PAST and IPAQ total sitting time were significant (p < 0.01, r = 0.125-0.396). Mentally-passive sedentary time was associated with psychological distress and insomnia (p < 0.01, r = 0.078-0.163), while no significant associations were found in mentally-active sedentary behaviors.

Conclusion and implications for practice

The M-PAST questionnaire appears to be a reliable and valid tool that reported both mentally-passive and mentally-active sedentary behaviors in nursing college students in China. However, future studies may need to further examine its validity among international nursing college students. This study further confirmed that mentally-passive sedentary behavior was positively associated with psychological distress and insomnia. Effective strategies are needed to reduce nursing college students' mentally-passive sedentary time to improve their health and wellbeing in China.

Free Time in Old Age: Does Health Status Determine the Choice of Leisure Activities in Indonesia?

This paper examines which leisure activities appear more attractive to older people, considering health status, disability and demographic-socio-economic and environmental variables. It employed data from Survei Penduduk Antar Sensus (SUPAS), the nationwide survey, conducted in 2015 by Indonesia's national statistical office. The sample selected 228,718 individuals aged 60 years old and above. Leisure activities were differentiated between active, sedentary, and no leisure activities. Health is measured with both health status and disability. Disability measures were adopted from Washington Group Short Set on Functioning-Enhanced (WG-SS Enhanced). Our multinomial regression models confirmed that health status was correlated with the choice of leisure activities in old age. Compared to older persons in good health, those reported in poor health without disruption to daily life were more likely to participate in sedentary or active leisure, but those with disruption to daily life were less likely to do so. Older persons with disability were disadvantaged in participating in either passive or active leisure. However, among all selected variables, employment and source of finance had the highest odds ratios and confounded the relationship between health and leisure activity.

Use of electronic devices in leisure time modifies the prevalence and factors associated with sedentary behavior derived exclusively from excessive television viewing among Brazilian adults

The growing interest in the study of sedentary behavior is justified by its increasing presence in people's daily lives, particularly in leisure time. The aim of this study was to compare the prevalence and factors associated with sedentary behavior derived exclusively from TV time and from its combination with the time spent using other electronic devices among Brazilian adults (n = 52,443). This cross-sectional study used data from the Vigitel survey (2019), which included subjects ≥ 18 years old who resided in the capitals of the 26 Brazilian states and Federal District. High TV time (≥ 4 h/day), and its combination with computer, tablet, or cell phone use (≥ 4 h/day), as well as sociodemographic, behavioral, and health characteristics were self-reported. Adjusted logistic regression was used to estimate odds ratios and 95% confidence intervals (95%CI). The prevalence of high sedentary behavior almost tripled when TV viewing was added to the time spent using other electronic devices (from 12.2%; 95%CI: 11.6; 12.8, to 34.7%; 95%CI: 33.8; 35.6), notably among the youngest (32.0 percentage points). Individuals living without a partner, who smoked, consumed alcohol and processed foods excessively, were physically inactive, and had hypertension were more likely to have both outcomes than their counterparts. Older and less educated individuals were more likely to spend excessive time watching TV and less likely to have high use of other electronic devices in addition to TV viewing than their peers. Including computer, tablet, or cell phone led to an increase in the prevalence of high sedentary behavior. The magnitude and direction of the associations of age and education with high sedentary behavior varied according to the method how high sedentary behavior was defined. Projects, programs, and policies must consider the different indicators of sedentary behavior in monitoring and promoting a healthier lifestyle.

Association of Early Sports Participation With Sedentary Behavior in Community-Dwelling Adults-The Role of Sociodemographic Factors in a Retrospective Epidemiological Study

BACKGROUND

The role of sociodemographic factors in the association between early sports participation (ESP) and sedentary behavior is unclear. We analyzed the association of ESP with sedentary behavior and identified the influence of sociodemographic factors in adulthood.

METHODS

A sample of 264 community-dwelling adults was randomly assessed (42.6 [17.0] y old, 57.6% women). Sociodemographic factors (age, gender, and socioeconomic status) and ESP (retrospectively) were assessed by questionnaire. Sedentary behavior was measured by accelerometer and self-reported for domains identification. The association between ESP and sedentary behavior domains and sociodemographic factors was analyzed by Poisson regression and presented in prevalence ratio (PR). Sociodemographic factors were separately included as covariates to identify their role in the main association analysis.

RESULTS

The ESP prevalence was 56.4% (n = 149). ESP participants included a higher proportion of men (59.7% vs 20.0%), had a lower age (36.8 [15.3] vs 50.8 [15.9]), and included a smaller proportion of individuals with low socioeconomic status (24.8% vs 43.5%) compared with those without ESP. The ESP was inversely associated with older age (PR = 0.58, P < .001 for middle aged; PR = 0.34, P < .001 for older participants), female gender (PR = 0.79, P < .001), low socioeconomic status (PR = 0.63, P = .036), and TV watching (PR = 0.67, P = .011). ESP was associated with driving (PR = 1.50, P = .028), office/paper work (PR = 1.63, P = .012), and using a cellphone (PR = 1.60, P = .009). The age was the main confounding factor of association between ESP and sedentary behavior, followed by socioeconomic status. No mediation role was identified.

CONCLUSION

The ESP was associated with mentally active behavior domains and inversely associated with mentally passive sedentary behavior domains, but this association was majorly affected by sociodemographic factors, mainly by age.

Association between electronic device use and health status among a middle-aged and elderly population: a cross-sectional analysis in the UK Biobank

Aim

Few previous studies have investigated the impact of multiple types of electronic devices on health status, and the moderating effects of gender, age, and BMI. Our aim is to examine the relationships between the use of four types of electronics and three health status indicators in a middle-aged and elderly population, and how these relationships varied by gender, age, and BMI.

Subject and methods

Using data from 376,806 participants aged 40-69 years in the UK Biobank, we conducted a multivariate linear regression to estimate the association between electronic device use and health status. Electronics use was categorized as TV watching, computer use, computer gaming, and mobile phone use, and health status included self-rated health (SRH), multisite chronic pain (MCP), and total physical activity (TPA). Interaction terms were utilized to assess whether the above associations were modified by BMI, gender, and age. Further stratified analysis was performed to explore the role of gender, age, and BMI.

Results

Higher levels of TV watching (BSRH = 0.056, BMCP = 0.044, BTPA= -1.795), computer use (BSRH = 0.007, BTPA= -3.469), and computer gaming (BSRH = 0.055, BMCP = 0.058, BTPA= -6.076) were consistently associated with poorer health status (all P < 0.05). Contrastingly, earlier exposure to mobile phones (BSRH = -0.048, BTPA= 0.933, BMCP = 0.056) was inconsistent with health (all P < 0.05). Additionally, BMI (Bcomputer use-SRH= 0.0026, Bphone-SRH= 0.0049, BTV-MCP= 0.0031, and BTV-TPA= -0.0584) exacerbated the negative effects of electronics use, and male (Bphone-SRH = -0.0414, Bphone-MCP = -0.0537, Bphone-TPA= 2.8873) were healthier with earlier exposure to mobile phones (all P < 0.05).

Conclusion

Our findings suggest that the adverse health effects associated with watching TV, computer use, and computer gaming were consistent and were moderated by BMI, gender, and age, which advances a comprehensive understanding of the association between multiple types of electronic devices and health status, and provides new perspectives for future research.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10389-023-01886-5.

A systematic review examining associations between physical activity, sedentary behaviour, and sleep duration with quality of life in older adults aged 65 years and above

This systematic review examined the associations between movement behaviours (i.e., physical activity, sedentary behaviour, and sleep duration) and quality of life (QOL) in adults ≥65 years of age. Four databases were searched in June 2021. Studies were eligible for inclusion if published within the last 20 years, peer-reviewed, examined apparently healthy older adults, and analysed ≥2 movement behaviours together. QOL was represented by the World Health Organization Quality of Life measure which conceptualizes QOL by distinct domains. Study results were categorized and presented by domain. Risk of bias was completed for all included studies using methods described in the Cochrane Handbook. Thirty-one studies with 307 292 participants were included that examined QOL outcomes across seven domains: superdomain (composite measures), perceived physical health, mental and psychological states, level of independence, social relationships, environment, and general health. Findings indicated that moderate-to-vigorous intensity physical activity was favourably associated with QOL. Time re-allocation studies that showed moving time into physical activity from sedentary behaviour were associated with favourable QOL changes. The evidence regarding sedentary behaviour and sleep duration was inconsistent. The quality of evidence was very low for all domains. In conclusion, there is consistent evidence that physical activity improves QOL in adults ≥65 years of age. International Prospective Register of Ongoing Systematic Reviews (PROSPERO) registration No.: CRD42021260566.

How much time of sedentary behavior is associated with depressive symptoms in community-dwelling older adults in southern Brazil?

AIMS

Identify sedentary behavior (SB) cut-off points to screen for depressive symptoms in older adults and verify the association between these conditions.

METHODS

A cross-sectional survey of 308 community-dwelling older adults was conducted. The outcome was the presence of depressive symptoms (≥6 points on the Geriatric Depression Scale-15). The exposure was SB using the self-reported time on a weekday and weekend (International Physical Activity Questionnaire). The cut-off points for SB categorization were determined by the receiver operating characteristic curve and multivariate logistic regression to verify the association.

RESULTS

Older adults who spent ≥4.5 hours/day in SB (sensitivity = 48.8%; specificity = 67.8%) were 1.81 times more likely (95%CI: 1.03;3.15) to have depressive symptoms compared to those who stayed for shorter periods.

CONCLUSIONS

There was an association between SB and depressive symptoms; therefore, older adults must have SB <4.5 hours/day to reduce the chances of developing depressive symptoms.

Associations between adolescent sleep difficulties and active versus passive screen time across 38 countries

BACKGROUND

High screen use has been adversely linked with mental wellbeing; however, little is known about how active versus passive screen time are associated with sleep-onset difficulties among adolescents.

METHODS

We analysed data from 38 European and North American countries that participated in the 2014 Health Behaviour in School-aged Children (HBSC) survey. Difficulties in falling sleep were assessed using a self-reported item with a 5-point Likert scale, and then dichotomised. Participants reported h/day of discretional time spent watching television, electronic gaming, and computer use.

RESULTS

Of the 195,668 participants (M_age 13.59 [1.62] years; 51 % girls), about 25 % of girls reported sleep-onset difficulties, while the rate was 18 % in boys. Adolescents who played electronic games >4 h/day (≤1 h/day as reference) had 30 % higher odds in boys (OR 1.30; 95 % CI: 1.23-1.38) and 38 % higher odds in girls (OR 1.38; 95 % CI: 1.31-1.45) of reporting sleep difficulties. High computer use (>4 h/day) increased the odds of sleep difficulties by 41 % in boys (OR 1.41, 95 % CI: 1.33-1.49) and 61 % in girls (OR 1.61, 95 % CI: 1.53-1.69). Similarly, high television time (>4 h/day) had increased the odds of sleep difficulties by 15 % in boys (OR 1.15, 95 % CI: 1.08-1.22) and 19 % in girls (OR 1.19, 95 % CI: 1.12-1.25).

LIMITATIONS

Cross-sectional analyses cannot establish causality of the associations.

CONCLUSIONS

Higher levels of recreational screen use of any type were associated with sleep-onset difficulties among adolescents with adverse effects being more prevalent in active than passive screen time. Prospective research with objective measures is warranted to understand causality of these relationships.

Association between Sedentary Behavior and Cognitive Performance in Middle-Aged and Elderly Adults: Cross-Sectional Results from ELSA-Brasil

BACKGROUND

This study aimed to verify the association between Sedentary Behavior (SB) and performance on cognitive function tests in middle-aged and elderly adults.

METHODS

This cross-sectional study included 6505 participants (55.2% women) of ELSA-Brasil, with a median age of 61 years. The different types of SB considered were sitting time and screen time. The scores obtained in the memory, language, and executive function tests were used to assess cognitive performance (CP). The association between SB and CP was assessed using linear regression.

RESULTS

For men, sitting time was associated with better performance in memory, language, and executive function tests. Screen time on the weekend, showed a favorable association with performance in the executive function test. Occupational screen time on weekdays was positively associated with language test performance. For women, sitting time and occupational screen time were positively associated with performance on memory tests. SB was favorably associated with performance in language tests and executive function tests.

CONCLUSIONS

SB seems to favor CP in this population without evident dementia and with a high level of education. The type of SB (mentally active or passive) and the schooling seem to be of particular interest for cognitive performance.

Factors Associated with Passive Sedentary Behavior among Community-Dwelling Older Women with and without Knee Osteoarthritis: The Otassha Study

Passive sedentary behavior (SB) may lead to adverse health outcomes; however, it remains unclear whether the factors relevant to passive SB differ between older adults with and without knee osteoarthritis (KOA). This cross-sectional study examined factors associated with passive SB among 688 community-dwelling older women with (n = 128) and without (n = 560) KOA. Passive SB (min/day) was assessed using the Japanese-translated version of the Measure of Older Adults' Sedentary Time questionnaire. Demographic, lifestyle, and psychosocial factors; pain; and physical performance were evaluated in multiple regression models with an interaction term concerning SB between the two groups. The mean (SD) total SB for those without and with KOA was 490.4 (200.9) min/day and 487.4 (185.8) min/day, respectively, and the majority of SB was passive, with no difference between groups. Passive SB was associated with an obese status and less time spent in group activities. However, no KOA-specific SB factors were identified. Therefore, effective interventions to promote social participation and weight loss, especially for individuals with obesity, may reduce passive SB, regardless of KOA. Longitudinal studies are warranted to identify causal relationships.

Effects of reducing sedentary behaviour duration by increasing physical activity, on cognitive function, brain function and structure across the lifespan: a systematic review protocol

INTRODUCTION

Greater engagement in sedentary behaviours has been related to poorer cognitive functions in epidemiological research. However, the effects of reducing sedentary behaviour duration on cognitive function, brain function, and structure remain poorly understood. This systematic review aims to synthesise the evidence on the effects of reducing sedentary behaviour duration by increasing time spent in physical activity on cognitive function, brain structure and function in apparently healthy children, adolescents and adults.

METHODS AND ANALYSIS

The protocol follows Preferred Reporting Items for Systematic Reviews and Meta-Analyses. The literature search will be conducted (search dates: August-September 2022) across six databases: PubMed, Scopus, Cumulative Index to Nursing and Allied Health Literature (via EBSCO Host), PsycINFO (via ProQuest), SPORTDiscus and Web of Science (Science and Social Science Citation Index). The inclusion criteria are as follows: randomised and non-randomised experimental studies as defined by the Cochrane Handbook, published in English, in peer-reviewed journals, and as theses or dissertations. References of included papers will be screened for additional studies. Acute and chronic interventions targeting children (≥ 4 years), adolescents, younger adults (≥ 18-40 years), middle-aged (40-64 years) and older adults (65+ years) will be eligible. Methodological quality will be assessed with the Effective Public Health Practice Project quality assessment tool for quantitative studies. Qualitative synthesis will be stratified by intervention type (acute vs chronic), intervention content (reducing sedentary time or interrupting prolonged sitting) and outcome (cognitive, brain structure and function).

ETHICS AND DISSEMINATION

No primary data collection will be conducted as part of this systematic review. Study findings will be disseminated through peer-reviewed publications, conference presentations and social media.

PROSPERO REGISTRATION NUMBER

CRD42020200998.

Psychological-health correlates of physical activity and sedentary behaviour during the COVID pandemic

BACKGROUND

While physical inactivity is associated with adverse psychological outcomes, less is known about the psychological outcomes associated with sedentary behaviour, and specifically, its mentally active and passive forms. The COVID-19 pandemic represents a unique opportunity to study associations between these variables in light of widespread stay-at-home mandates and restrictions on outdoor exercise/social activities. Using a cross-sectional dataset acquired during the COVID-19 pandemic in Australia, we examined whether physical activity and sedentary behaviour were associated with subjective quality of life (sQoL) and subjective cognitive dysfunction, and whether these associations were mediated by depressive symptoms.

METHODS

658 participants (males = 169, females = 489) self-reported data on physical activity and sedentary behaviour in an online survey during May 2020-May 2021. Data on physical activity and sedentary behaviour (both mentally active and passive types) was compared according to whether it was collected during or out of a lockdown period. Regression models were used to test associations of physical activity and sedentary behaviour with sQoL and subjective cognitive dysfunction, and whether these associations were mediated by depression severity.

RESULTS

Physical activity was beneficially associated with sQoL, whereas sedentary behaviour (both total hours and the reduction of mentally active/increase in mentally passive behaviour) was detrimentally associated with sQoL. These associations were mediated by depression severity. Physical activity and sedentary behaviour were also indirectly associated with subjective cognitive dysfunction by virtue of their associations with depression severity.

CONCLUSIONS

There are important differences in the psychological correlates of mentally passive and active sedentary behaviours. Our findings suggest that health promotion strategies should focus on not only increasing physical activity but also reducing passive sedentary behaviours as a means of maintaining good psychological health.

Symptoms of depression are related to sedentary behavior and sleep duration in elderly individuals: A cross-sectional study of 49,317 older Chinese adults

OBJECTIVE

Depression is a common mental disorder in older adults. This study aimed to determine the incidence of depression and the relationship between sedentary behavior and sleep duration in elderly individuals.

METHOD

A total of 49,317 elderly adults from eight health centers in six Chinese provinces completed an online self-reported health questionnaire. Logistic regression was used to explore the association between sedentary behavior, sleep duration, and depression symptoms.

RESULTS

Symptoms of depression were present in 20.1% of older adults. Sedentary behaviors for >6 h/day (OR = 3.16; 95% CI: 2.90-3.44; p < 0.001) were a greater risk factor for depressive symptoms in older adults than sedentary behaviors for less than 3 h/day. Elderly individuals with short sleep durations (<7 h/day) were more likely to experience depression (OR = 2.20; 95% CI: 2.07-2.34; p < 0.001).

CONCLUSION

This study suggested that sedentary behavior and short sleep duration in older Chinese adults are associated with depressive symptoms. In China, further improvement of the mental health and lifestyle of elderly individuals may be warranted.

Profiles of sedentary behaviors in the oldest old: findings from the National Health and Aging Trends Study

BACKGROUND

Sedentary behavior is a significant health risk. Emerging research suggests that mentally active sedentary behaviors (e.g., computer use and reading) are associated with better health than mentally passive sedentary behaviors (e.g., watching TV). However, these relationships are not well established in the literature, and little is known about the oldest old (age ≥ 80).

AIMS

The aims of this study were to (1) identify distinct subgroups of oldest old adults based on six domains of sedentary behavior (watching TV, using a computer/tablet, talking to friends or family members, doing hobby or other activities, transportation, and resting/napping); and (2) compare health-related outcomes across identified subgroups, using the National Health and Aging Trends Study (NHATS) dataset.

METHODS

Latent profile analysis was used to identify distinct profiles of sedentary behavior. Design-based linear and logistic regressions were used to examine associations between different profiles and health outcomes, accounting for socio-demographic characteristics.

RESULTS

A total of 852 participants were included. We identified four profiles and named them based on total sedentary time (ST) and passive/active pattern: "Medium-passive", "High-passive", "Low", "High-mentally active". Compared to the "High-passive" group, "Low" group and "High-mentally active" group were associated with fewer difficulties with activities of daily living, fewer problems limiting activities and higher cognitive function.

CONCLUSION

This study, with a national representative sample of the oldest old population, suggests that both total ST and sedentary behavior pattern matter when evaluating health outcomes of being sedentary. Interventions should encourage oldest old adults to reduce ST and especially target mentally passive ST.

Development of a Questionnaire to Evaluate Older Adults' Total Sedentary Time and Sedentary Time With Cognitive Activity

This study aimed to develop a questionnaire for evaluating total sedentary time (ST) and ST with cognitive activity, and to examine the association between ST and cognitive function among Japanese older adults. The questionnaire to evaluate ST comprised 12 items regarding behavior in specific settings, including 8 items on ST with cognitive activity, in a usual week. Older adults aged ≥75 years who participated in a health check-up assessing cognitive function completed the developed questionnaire and subsequently wore an accelerometer and recorded a diary of ST with cognitive activity for a week as validity measures. Cognitive function was assessed with neuropsychological tests covering 4 domains: memory, attention, executive function, and processing speed. Fifty-two participants were included in the validity analysis. Spearman's correlation coefficient indicated fair-to-good agreement between the questionnaire-measured and the diary-measured time for ST with cognitive activity (r = 0.59, p < 0.001), but this was not the case for total ST. Bland-Altman plots showed that the questionnaire-measured total ST contained proportional bias (r = 0.51, p < 0.001). Multiple regression analysis (n = 49) showed longer questionnaire-measured ST with cognitive activity was significantly associated with better neuropsychological test scores (attention: β = -0.38, p = 0.025; executive function: β = -0.46, p = 0.003; and processing speed: β = 0.31, p = 0.041), while total ST was not associated with better cognitive performance. The developed questionnaire showed acceptable validity to measure ST with cognitive activity, which was found to be protectively associated with cognitive function.

Short Video Viewing, and Not Sedentary Time, Is Associated with Overweightness/Obesity among Chinese Women

Previous studies have found that the relationship between sedentary time (ST) and overweightness/obesity is unclear. The association between sedentary behavior and overweightness/obesity may depend on the type of sedentary behavior engaged in. Nowadays, in older Chinese adults, especially females, short video viewing (SVV) is the most popular leisure sedentary behavior. However, the association between SVV and overweightness/obesity remains to be determined. This study aimed to examine the associations between ST and SVV and overweightness/obesity in Chinese community-dwelling older women. A cross-sectional analysis of baseline data from the Physical Activity and Health in Older Women Study was carried out in this study. A total of 1105 older Chinese women aged 60–70 years were included. SVV was estimated using a self-reported questionnaire, and ST was objectively measured using a tri-axial accelerometer. Overweightness/obesity indicators, including body fat ratio (BFR), fat mass (FM), visceral fat mass (VFM), subcutaneous fat mass (SFM), trunk fat mass (TFM), and limb fat mass (LFM), were assessed using multi-frequency bioimpedance analysis. The covariates included socio-demographic data and a range of health-related factors. Multiple linear regression analyses were used to assess the association between ST and SVV and overweightness/obesity. ST was significantly positively associated with all indicators of overweightness/obesity; however, the associations disappeared after adjusting for moderate-to-vigorous-intensity physical activity (MVPA). A higher SVV time was associated with a higher body mass index (BMI) (β = 0.19, 95% confidence interval (CI): 0.05 to 0.32), BFR (β = 0.31, 95% CI: 0.07 to 0.56), FM (β = 0.33, 95% CI: 0.04 to 0.61), VFM (β = 0.09, 95% CI: 0.01 to 0.16), SFM (β = 0.24, 95% CI: 0.03 to 0.45), TFM (β = 0.21, 95% CI: 0.04 to 0.39), and LFM (β = 0.11, 95% CI: 0.00 to 0.23) in the fully adjusted models. Compared with non-food short videos, short food videos had a greater effect on overweightness/obesity. SVV was an independent risk factor for overweightness/obesity. A reduction in SVV (especially the food category) rather than ST might be an effective way to prevent overweightness/obesity when incorporated in future public health policy formulations.

Associations between sedentary behaviour patterns and depression among people aged 60 and older in Hebei Province of China

BACKGROUND

Sedentary behaviours (SBs) are now considered a risk factor for depression. Older adults are sedentary most of the time and are at a high risk of depression. However, not all types of SBs have adverse effects on mental health. Passive SBs (such as watching TV) increase the risk of depression, whereas mentally active SBs (such as using the internet and reading) decrease the risk of depression. The aim of this study was to explore the associations between type of SBs (i.e., passive and mentally active SBs) and depression among people aged 60 years and older in the Hebei Province of China.

METHODS

This cross-sectional study used data from the baseline survey of the Community-based Cohort Study on Nervous System Diseases. A total of 2679 older adults aged ≥60 years from the Hebei Province of China were included in this study. The type and time spent on SBs were self-reported. Watching TV was defined as a passive SB, whereas internet use, reading, and social SBs (including communicating with others and playing chess) were defined as mentally active SBs. Depression was evaluated using the Geriatric Depression Scale. The maximal possible score was 30 points, and ≥ 11 points indicated depression. Logistic regression analysis was used to assess the relationship between SBs and depression. Covariates included sex, age, education, employment, smoking, alcohol consumption, sleep duration, domestic work, physical exercise, body mass index (BMI), and chronic diseases.

RESULTS

At baseline, the participants who spent two or more hours and 0 h on passive SBs (i.e., TV viewing) had a greater risk of depression (=0 h: adjusted OR = 2.09, 95% CI = 1.18-3.76; 2-3 h: OR = 2.21, 95% CI = 1.16-4.16; > 3 h: OR = 3.59, 95% CI = 1.93-6.68) than the participants who spent 1-2 h on passive SBs. The participants who spent > 1 h on mentally active SBs had a lower risk of depression (adjusted OR = 0.26, 95% CI = 0.06-0.71) than the participants who did not engage in mentally active SBs. Not all mentally active SBs were linked to depression. The participants who engaged in social SBs had a lower risk of depression (adjusted OR: 0.24, 95% CI: 0.06-0.66) than the participants who did not engage in social SBs.

CONCLUSIONS

Spending 2 h or more per day on passive SBs (watching TV) was associated with a high risk of depression among people aged 60 years and older in the Hebei Province of China. Mentally active SBs (predominantly social SBs) could reduce the risk of depression. Some participants with depression probably did not watch TV. These findings suggested that spending more time on social SBs (such as communicating with others and playing chess) rather than watching TV may have important public health implications for preventing and managing depression among older Chinese adults. Moreover, society should attend to the mental health of elderly adults who do not watch TV as they may be more prone to suffer from depressive symptoms.

International trends in screen-based behaviours from 2012 to 2019

Many adults accumulate considerable time in screen-based behaviours, some of which have been associated with negative physical and psychological health outcomes. The aims of this study were to characterise contemporary patterns of screen-based behaviours and describe their temporal trends by global region, age, sex and education. Data covering the period 2012-2019 were obtained in aggregated form from GWI (previously known as Global Web Index), a global market research company. Temporal trends in the duration of adults' (16-64 years) self-reported personal computer, laptop and tablet use, mobile phone use, broadcast television viewing, online television viewing and games console use were described using data from over 2 million participants from 46 countries. For each activity, participants selected from response options ranging from less than 30 min to more than 10 h. Internationally, daily screen time increased from approximately 9 h in 2012 to 11 h in 2019, with notable increases in mobile phone use (approx. 2 h), online television viewing (approx. 37 min) and games console use (approx. 26 min). Differences were seen in the duration of time spent engaging in screen-based behaviours across regions and between socio-demographic groups, with Latin America, the Middle East and Africa and younger age groups seeing greater increases in overall screen time. The findings have important implications for health behaviour surveillance and for research exploring the links between screen-based behaviours and health.

Sedentary Behavior and Happiness: The Mediation Effects of Social Capital

Background and Objectives

This study aimed to examine the associations between time spent in 6 different domains of sedentary behavior and happiness and whether social capital mediated such associations among adults and older adults living in a rural area of Japan.

Research Design and Methods

Cross-sectional data from 3,357 participants (mean age: 60 ± 16 years) were used. 6 domains of sedentary behavior, happiness, and social capital were assessed using a self-report questionnaire. Age-stratified multivariable linear regression models adjusted for covariates were used to examine the associations between 6 domains of sedentary behavior and happiness. For relationships where the direct effect was significant, we tested the mediating effects of 2 social capital measures.

Results

Among both adults and older adults, more time spent viewing television was significantly associated with lower happiness scores, and more time spent engaging in other leisure activities was significantly associated with higher happiness scores. In addition, more time spent using cell phones and computers was significantly associated with lower happiness scores among the adults. Engaging in activities with neighbors significantly mediated the relationship between other leisure activities and happiness in the adults and older adults, and between television viewing and happiness in the older adults.

Discussion and Implications

Our findings indicated that less television viewing and more mentally active sedentary behavior (e.g., talking with others and engaging in hobbies) were associated with greater happiness. One aspect of social capital, engaging in activities with neighbors, acts as a potential mediator for relationships between sedentary behavior and happiness.

Association of mentally-active and mentally-passive sedentary behaviour with depressive symptoms among adolescents

BACKGROUND

The evidence on the association between sedentary behaviour and depression in adolescence is mixed. We aimed to investigate the association between mentally-active and mentally-passive sedentary behaviours at 11 years (11y) and depressive symptoms at 14y, and to examine potential mediators.

METHODS

UK Millennium Cohort Study data were used (n=7,124; 49% boys). At 11y, participants self-reported frequency of mentally-passive (listening to music, internet use) and mentally-active sedentary behaviours (reading, playing electronic games). Additional parental-reported behaviours (mentally-passive: TV viewing; mentally-active: homework) were summed with self-reported behaviours to represent continuous indicators of mentally-active and mentally-passive sedentary behaviour. Depressive symptoms were assessed (at 11y and 14y) using the short-version of Mood and Feelings Questionnaire. Body mass index (BMI), mentally-passive sedentary behaviour and cognition at 14y were examined as potential mediators. Linear regression models were adjusted for confounders and stratified by sex. Subsequent mediation analyses reporting e-values were used to assess unmeasured confounding.

RESULTS

Among girls, mentally-passive sedentary behaviour at 11y was associated with later depressive symptoms (14y) [β:0.089 (95%CI:0.055-0.122), e-value:1.32]. This association was mediated by BMI [5.6% (95%CI:4.1%-8.6%)] and mentally-passive sedentary behaviour [105.6% (95%CI:79.6%-156.7%)]. No associations were observed in boys or between mentally-active sedentary behaviour and later depressive symptoms.

LIMITATIONS

The parental report of behaviours and the assessment of mediators and outcome in the same wave are the main limitations.

CONCLUSION

Future interventions aiming to improve mental health among girls could aim to reduce mentally-passive sedentary behaviour in early teens and could target potential mediators including BMI.

Balance in life as a prerequisite for community-dwelling older adults' sense of health and well-being after retirement: an interview-based study

Purpose

This study aimed to describe community-dwelling older adults’ perceptions of health and well-being in life after retirement.

Methods

This study is part of a larger project using a mixed-methods design to address lifestyles’ influence on community-dwelling older adults’ health. Individual semi-structured interviews were conducted with 18 older adults in age 70 to 95 years. Data were analysed according to a phenomenographic approach.

Results

The results encompass four categories describing variations in community-dwelling older adults’ perceptions of health and well-being after retirement: feeling well despite illness and disease, interacting with and being useful for oneself and others, independently embracing opportunities and engaging in life, and maintaining a healthy lifestyle.

Conclusions

The absence of illness and disease is not a clear prerequisite for a sense of health and well-being. To promote and preserve health and well-being after retirement, older adults strived for—and coached themselves to uphold—a balance in life, focusing on not burdening others. This life orientation after retirement must be acknowledged by society at large, especially from an ageist perspective, and in health and social care to preserve and promote health and well-being.

Understanding Variations in the Health Consequences of Sedentary Behavior: A Taxonomy of Social Interaction, Novelty, Choice, and Cognition

The study of sedentary behaviors requires taxonomies (classification schemes) to standardize data collection, measurements, and outcomes. Three taxonomies of sedentary behaviors have been identified, but none address an important challenge in sedentary behavior research, which is to distinguish between beneficial and detrimental health effects of various sedentary behaviors. Some sedentary behaviors (e.g., reading) are associated with positive health outcomes, whereas other sedentary behaviors (e.g., television viewing) are associated with adverse health outcomes. To address directly this complexity and present a different conception and understanding of discrepant findings related to health outcomes, a new taxonomy is needed. The development of the new taxonomy is guided by analysis of literature and selection of a relevant and informative behavioral sciences theoretical framework (i.e., self-determination theory). Because older adults are an increasing percentage of the population and report a high prevalence of sedentary behaviors, the new taxonomy was designed for older adults with potential application to all age groups. Taylor's taxonomy of sedentary behaviors is parsimonious with four domains: social interaction (i.e., not solitary, companionship, interacting, and connecting with others); novelty (i.e., refreshingly new, unusual, or different); choice (i.e., volition, preferred option or alternative, the power, freedom, or decision to choose); and cognition (i.e., mentally stimulating and engaging).

Is device-based total and domain-specific sedentary behaviour associated with psychological distress in Flemish workers?

BACKGROUND

There is increasing interest in the association between psychological distress and time spent in sedentary behaviour (e.g. sitting), a highly prevalent behaviour in modern society. The limited evidence is mixed and mainly based on studies using self-reported sedentary time. Few studies have investigated device-based total sedentary time in its association with distress. None, however, have examined device-based domain-specific sedentary time in relation to psychological distress. The aim of this study was to investigate whether device-based total and domain-specific sedentary behaviour were associated with psychological distress.

METHODS

Flemish employees (n = 401; 20-64 years; 42.6% male; 83.6% had a 'physically active occupation') of seven organizations in service and production sectors participated. Sedentary behaviour (exposure) was assessed by two Axivity AX3 accelerometers (one placed on the thigh and one placed between the shoulders) for two to four consecutive working days. Based on diary completion, domain-specific sedentary behaviour (leisure vs. work) was assessed. The 12-item General Health Questionnaire was used to assess psychological distress (outcome). Adjusted hierarchical multiple regression models were conducted to report on the associations between total and domain-specific sedentary behaviour and psychological distress.

RESULTS

About 35% of the sample had high levels of distress and average total sedentary time was 7.2 h/day. Device-based total sedentary behaviour [B = -0.009, 95% confidence interval (CI), -0.087 to 0.068], leisure-time (B = 0.001, 95% CI, -0.017 to 0.018) and work-related (B = 0.004, 95% CI, -0.006 to 0.015) sedentary behaviour were not significantly associated with psychological distress.

CONCLUSION

This cross-sectional study examining the association between device-based total and domain-specific sedentary behaviour and psychological distress among employees showed a lack of significant findings.

Associations between mentally-passive and mentally-active sedentary behaviours during adolescence and psychological distress during adulthood

It is unclear if different types of sedentary behaviour during the adolescence are differentially associated with psychological distress during adolescence and adulthood. It is also unknown what may mediate this potential proposed association. The current study aimed to analyse the association of mentally-active and mentally-passive sedentary behaviours during adolescence (16y) with subsequent psychological distress during adulthood (42y), and to examine the role of potential mediators (42y). Data from the 1970 British Cohort Study was used (N = 1787). At age 16y participants reported time and frequency in mentally-passive (TV-viewing and watching movies) and mentally-active (reading books, doing homework and playing computer games) sedentary behaviours, psychological distress and organized sports participation. At 42y, participants reported cognition (vocabulary test), TV-viewing, psychological distress, self-rated health, body mass index and employment status. Education was collected throughout the follow-up years. Logistic regression and mediation models assessed associations. Multiple imputation using chained equations was used to assess the impact of missing data. Mentally-passive sedentary behaviour in adolescence was a risk factor for psychological distress during adulthood in complete-cases analysis [OR:1.44(95%CI:1.09-1.90)], which was confirmed by the model with multiple imputation. Mentally-active sedentary behaviour at 16y was not associated with psychological distress at 42y. Adult TV-viewing during weekends (24.7%), and self-rated health (19.0%) mediated the association between mentally-passive sedentary behaviour during adolescence and psychological distress during adulthood. However, the mediation was not clear in the models with multiple imputation. Mentally-passive sedentary behaviour during adolescence was associated with elevated psychological distress during adulthood and this association was mediated TV-viewing and self-rated health in adulthood.

Increased Screen Time Is Associated With Alcohol Desire and Sweetened Foods Consumption During the COVID-19 Pandemic

Background: Elevated screen time has been associated with addictive behaviors, such as alcohol and sugar intake and smoking. Considering the substantial increase in screen time caused by social isolation policies, this study aimed to analyze the association of increased screen time in different devices during the COVID-19 pandemic with consumption and increased desire of alcohol, smoking, and sweetened foods in adults. Methods: A sample of 1,897 adults with a mean age of 37.9 (13.3) years was assessed by an online survey, being composed by 58% of women. Participants were asked whether screen time in television, cell phone, and computer increased during the pandemic, as well as how much time is spent in each device. Closed questions assessed the frequency of alcohol and sweetened food consumption, smoking, and an increased desire to drink and smoke during the pandemic. Educational level, age, sex, feeling of stress, anxiety, depression, and use of a screen device for physical activity were covariates. Binary logistic regression models considered adjustment for covariates and for mutual habits. Results: Increased television time was associated with increased desire to drink (OR = 1.46, 95% CI: 1.12; 1.89) and increased sweetened food consumption (OR = 1.53, 95% CI: 1.18; 1.99), while an increase in computer use was negatively associated with consumption of alcohol (OR = 0.68, 95% CI: 0.53; 0.86) and sweetened foods (OR = 0.78, 95% CI: 0.62; 0.98). Increased cell phone time was associated with increased sweetened food consumption during the pandemic (OR = 1.78, 95% CI: 1.18; 2.67). Participants with increased time in the three devices were less likely to consume sweetened foods for ≥5 days per week (OR = 0.63, 95% CI: 0.39; 0.99) but were twice as likely to have sweetened food consumption increased during pandemic (OR = 2.04, 95% CI: 1.07; 3.88). Conclusion: Increased screen time was differently associated with consumption and desire for alcohol and sweets according to screen devices. Increased time in television and cell phones need to be considered for further investigations of behavioral impairments caused by the pandemic.

Lifestyle's influence on community-dwelling older adults' health: A mixed-methods study design

BACKGROUND

Aging often involves health problems and difficulties, such as physical and psychological impairments, isolation, and loneliness, causing social and existential consequences. Studies have explored aging from different perspectives. However, few studies have examined healthy older adults' genetic backgrounds, lifestyles, and meaning in life separately or in combination. This study aims to describe how healthy older adults experience aging, health, lifestyles, and meaning in life and explore potential genetic correlations.

METHODS AND DESIGN

The project will comprise three main parts: a quantitative section featuring the development and testing of a lifestyle questionnaire, a quantitative genetic analysis, and a qualitative interview study. Participants will be community-dwelling, healthy, older adults between 70 and 95 years of age. A sample size of 800 older adults will be invited to participate in seminars in collaboration with the national Swedish association Active Seniors. Data will be collected through lifestyle questionnaire, DNA extracted from saliva samples, and interviews. Based on questionnaire responses, profile groups will be created and compared statistically with variations in genetic backgrounds, providing the basis for recruiting participants to the qualitative interviews.

DISCUSSION

This study's expected outcome will be to gain knowledge about variations in genetic backgrounds correlated with individual experiences regarding aging, health, and meaning in life. This knowledge can improve the understanding of motivations for healthy lifestyle changes. The results can reveal potential implications for individual prerequisites to healthy aging and how health-promoting aging and lifestyle counseling can be adjusted to meet individual needs.

Sex-specific typologies of older adults' sedentary behaviors and their associations with health-related and socio-demographic factors: a latent profile analysis

BACKGROUND

Some types of sedentary behaviors tend to cluster in individuals or groups of older adults. Insight into how these different types of sedentary behavior cluster is needed, as recent research suggests that not all types of sedentary behavior may have the same negative effects on physical and mental health. Therefore, the aim of this study was to identify sex-specific typologies of older adults' sedentary behavior, and to examine their associations with health-related and socio-demographic factors.

METHODS

Cross-sectional data were collected as part of the BEPAS Seniors, and the Busschaert study among 696 Flemish older adults (60+). Typologies of self-reported sedentary behavior were identified using latent profile analysis, and associations with health-related and sociodemographic factors were examined using analyses of variances.

RESULTS

Five distinct typologies were identified from seven sedentary behaviors (television time, computer time, transport-related sitting time, sitting for reading, sitting for hobbies, sitting for socializing and sitting for meals) in men, and three typologies were identified from six sedentary behaviors (television time, transport-related sitting time, sitting for reading, sitting for hobbies, sitting for socializing and sitting for meals) in women. Typologies that are characterized by high television time seem to be related to more negative health outcomes, like a higher BMI, less grip strength, and a lower physical and mental health-related quality-of-life. Typologies that are represented by high computer time and motorized transport seem to be related to more positive health outcomes, such as a lower body mass index, more grip strength and a higher physical and mental health-related quality-of-life.

CONCLUSIONS

Although causal direction between identified typologies and health outcomes remains uncertain, our results suggests that future interventions should better focus on specific types of sedentary behavior (e.g. television time), or patterns of sedentary behavior, rather than on total sedentary behavior.

Occupational sedentary behavior and prediction of proteinuria in young to middle-aged adults: a retrospective cohort study

BACKGROUND

Although sedentary behavior is a risk factor of cardiometabolic diseases and mortality, little information is available about a clinical impact of occupational sedentary behavior on chronic kidney disease (CKD).

METHODS

The present retrospective cohort study included 10,212 workers of a national university in Japan who underwent annual health checkups between April 2006 and March 2013. Main exposure of interest was self-reported occupational sedentary behavior at the baseline visit. The outcome was the incidence of proteinuria defined as dipstick urinary protein of 1 + or more. The association between sedentary workers and the incidence of proteinuria was assessed using Cox proportional hazards models adjusting for clinically relevant factors, including television viewing time, the major home sedentary behavior.

RESULTS

During median 4.8 years (interquartile range 2.1-7.9) of the observational period, the incidence of proteinuria was observed in 597 (12.0%) males and 697 (13.3%) females. In males, sedentary workers were identified as a significant predictor of proteinuria (multivariable-adjusted hazard ratio of non-sedentary and sedentary workers: 1.00 [reference] and 1.35 [1.11-1.63]), along with longer television viewing time (< 30 min, 30-60 min, 1-2 h, 2-3 h, and > 3 h/day: 1.15 [0.93-1.42], 1.00 [reference], 1.24 [1.00-1.53], 1.41 [1.03-1.93], and 1.77 [1.13-2.76]), whereas not daily exercise time. In females, neither sedentary workers nor television viewing time was associated with the incidence of proteinuria.

CONCLUSIONS

In conclusion, male sedentary workers were at high risk of proteinuria. Occupational sedentary behavior may be a potentially modifiable target for the prevention of CKD.

Socio-Demographic Correlates of Total and Domain-Specific Sedentary Behavior in Latin America: A Population-Based Study

Purpose: The aim of this study was to identify socio-demographic correlates of total and domain-specific sedentary behavior (SB). Methods: Cross-sectional findings are based on 9218 participants (15–65 years) from the Latin American Study of Nutrition and Health. Data were collected between September 2014 and February 2015. Participants reported time spent in SB across specific domains. Sex, age, ethnicity, socioeconomic (SEL), and education level were used as sociodemographic indicators. Results: Participants spent a total of 373.3 min/day engaged in total SB. Men, younger adults, other ethnicities, higher SEL and educational level presented higher total SB when compared with women, older adults, white/Caucasian, and low SEL and educational level. Men spent more time on the playing videogames (b: 32.8: 95% CI: 14.6;51.1) and riding in an automobile (40.5: 31.3; 49.8). Computer time, reading, socializing or listening to music was higher in younger participants (<30 years) compared with those ≥50 years in the total sample. Compared to the low SEL and educational level groups, middle (11.7: 5.7; 17.6) and higher (15.1: 5.3; 24.9) SEL groups as well as middle (9.8: 3.6; 15.9) and higher (16.6: 6.5; 26.8) education level groups reported more time spent reading. Conclusion: Socio-demographic characteristics are associated with SB patterns (total and specific) across Latin American countries.

Cross-sectional and prospective relationships of passive and mentally active sedentary behaviours and physical activity with depression

BACKGROUND

Sedentary behaviour can be associated with poor mental health, but it remains unclear whether all types of sedentary behaviour have equivalent detrimental effects.

AIMS

To 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.

METHOD

In 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).

RESULTS

Of 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.

CONCLUSIONS

Substituting passive with mentally active sedentary behaviours, light activity or moderate-to-vigorous activity may reduce depression risk in adults.

Clustering of Domain-Specific Sedentary Behaviors and Their Association With Physical Function Among Community-Dwelling Older Adults

BACKGROUND

The present study examined the cluster of domain-specific sedentary behaviors (SBs) and their associations with physical function among community-dwelling older adults to identify the target groups that require intervention for SBs.

METHODS

A total of 314 older adults who participated in a population-based cross-sectional survey and an on-site functional assessment in Matsudo City in Chiba participated in this study. Participants were asked to report the daily average of 6 domain-specific SBs. To identify the cluster of domain-specific SBs, hierarchical cluster analysis was performed using the Ward method. Analysis of covariance adjusted for sociodemographic factors, exercise habit, chronic disease, and total SB time was performed to examine the associations between each cluster and physical functional status.

RESULTS

The average age of the participants was 74.5 (5.2) years. The 4 clusters identified were leisure cluster, low cluster, work and personal computer use cluster, and television viewing cluster. The analysis of covariance adjusted for covariates showed that grip strength (P = .01), maximum walking speed (P = .03), and 1-leg standing time (P = .03) were significantly poorer in the television viewing cluster than other clusters.

CONCLUSIONS

It has been concluded that the television viewing group identified as a high-risk group of physical functional decline; therefore, interventions targeting this group are needed to prevent physical functional decline.

Associations of interruptions to leisure-time sedentary behaviour with symptoms of depression and anxiety

Interruptions to time spent sitting can ameliorate detrimental metabolic-health consequences of high volumes of sedentary time, but their potential mental health benefits have not been examined. We used the Swedish Health Profile Assessment database, a general health assessment offered to all employees working for companies or organisations connected to occupational and health services. Cross-sectional analyses examined data from 40,550 employees (60% male, mean age = 42 years), collected in 2017-2019. Participants reported the proportion of time (almost always; 75% of the time; 50% of the time; 25% of the time; and almost never) usually spent in leisure-time sedentary behaviours; and, separately, the frequency (never; rarely; sometimes; often; and very often) of interruptions (every 30 min) to sedentary time. Logistic regression models assessed associations of sedentary time, and the frequency of interruptions to sedentary time, with depression/anxiety symptoms. Fully adjusted models included physical exercise. Compared to those in the lowest sedentary time category, those in the medium and high categories had 1.52 (95% confidence interval (CI) = 1.40-1.66) and 3.11 (95% CI = 2.82-3.42) higher odds of frequent depression/anxiety symptoms, respectively. Compared to those who never/rarely interrupted their sedentary time, those who reported interruptions sometimes, often and very often had 0.72 (95% CI = 0.65-0.80), 0.59 (95% CI = 0.53-0.65), and 0.53 (95% CI = 0.46-0.59) lower odds of depression/anxiety symptoms, respectively. In stratified analyses, more frequent interruptions to sedentary time were associated with lower odds of depression/anxiety symptoms, except among those in the lowest interruptions categories (never/25% of the time). More regularly interrupting sitting during leisure-time may reduce the odds of experiencing symptoms of depression and anxiety.

Self-reported and activPALTM-monitored physical activity and sedentary behaviour in college students: Not all sitting behaviours are linked to perceived stress and anxiety

This study examined relationships between physical activity (PA) and sedentary behaviour (SB) with state-trait anxiety and stress. State-Trait anxiety (State-Trait Anxiety Inventory), psychological stress (Perceived Stress Scale), SB across domains during weekdays and weekends (Last 7-day Sedentary Behaviour Questionnaire) and PA intensities (International Physical Activity Questionnaire) were assessed by self-report in 360 undergraduates (44% females, mean age 20.9 ± 2.93 years). A subsample (n = 121; 53.7% females; mean age 20.8 ± 2.6 years) wore an activPAL^TM to determine total SB, light, and moderate-to-vigorous intensity PA (MVPA). Self-reported MVPA was significantly associated with lower trait anxiety and perceived stress, whereas light PA was only associated with lower perceived stress. Weekend total self-reported SB was related to higher trait anxiety and perceived stress levels, while total SB during the week was not. Of all SB domains, only leisure SB (screen and non-screen based) was associated with higher trait anxiety and perceived stress. PA attenuated the negative relationships between excessive sitting time and trait anxiety but not perceived stress. No associations were found for monitor-based measures of PA and SB. No associations were found between PA or SB variables with state anxiety. Further research is needed to assess causal and reciprocal relationships between PA, SB and mental health in college students.

Factors that Decrease Sedentary Behavior in Community-Dwelling Elderly People: A Longitudinal Study

Background and objectives: This study was to clarify how the frequency of participation in a health class affected the reduction in sedentary behavior after two years, and whether decreases in sedentary behavior in elderly people who participated in a health class persisted two years after the end of an intervention. Materials and Methods: This study was longitudinal, and the results of a previous study conducted in 2017 were added to the findings of a different year. The participants were elderly health class members at a community dwelling in Japan who participated between 2016 and 2018. Of the 86 participants that were enrolled, the data of 80 were collected in 2016. A year later, in a 2017 follow-up, the number of participants was 80, and two years later, in a 2018 follow-up, there were 71 participants. Results: There was a significant difference with regards to the reduction of the sedentary behavior rate between two different groups (a health class participation rate of more than 75% and the other with less than 75%) two years later. However, no difference in sedentary behavior rate was found between the two groups (intervention group and control group) at a two-year follow-up, despite observing differences after one year. Conclusions: Continuous participation in a health class may help reduce sedentary behavior. After two years, “Active Guide” brochures and documents may not help in reducing sedentary behavior, despite seeing improvements after one year. Persistent social participation may have a more lasting effect than one-off interventions in reducing the sedentary behavior ratio.

Associations of sedentary behavior in leisure and occupational contexts with symptoms of depression and anxiety

Sedentary behaviors (SB) can be associated with poorer mental health, but it remains unclear whether contexts for these behaviors may be important. We assessed relationships of SB in leisure-time and occupational contexts with frequent symptoms of depression and anxiety. Data originate from the Swedish Health Profile Assessment (HPA) database, a health assessment offered to employees working for companies or organizations connected to healthcare services. Analyses are based on data from 2017 onwards (N = 23,644; 57% male, mean age = 42 years). Two self-report questions assessed proportions of time spent in SB in leisure contexts and in the occupational setting. Logistic regressions examined relationships of SB in each context with the self-reporting of frequent symptoms of depression/anxiety. A separate model for the leisure plus occupational SB was also generated. Fully-adjusted models included exercise frequency. Compared to those reporting that they were 'almost never' sedentary in leisure-time contexts, a detrimental dose-response with frequent depression/anxiety symptoms was observed with increasing proportions of sedentary time: 50% of the time (OR = 1.44; 1.23-1.70), 75% (OR = 2.95; 2.45-3.54), almost always (OR = 3.85; 2.84-5.22). For occupational SB, the only associations were among those who reported being sedentary almost always, compared to almost never (OR = 1.47; 1.25-1.73). Associations of 'overall' SB with depression/anxiety symptoms mirrored the dose-response relationship for leisure-time SB. Exercise frequency attenuated the association for leisure-time SB only, but it remained statistically significant. Adults who spend ≥50% of their leisure-time in sedentary pursuits experience more frequent symptoms of depression and anxiety, compared to those who are less sedentary in that context.

Leisure activity in middle-aged adults with Down syndrome: Initiators, social partners, settings and barriers

BACKGROUND

Leisure activity has been linked to optimal ageing outcomes, yet little is known about the type and level of leisure activity adults with Down syndrome currently engage in, and the factors that promote and hinder their leisure activities.

MATERIALS AND METHODS

A daily diary was utilized to provide an in-depth description of the average daily leisure activity of 44 adults with Down syndrome (aged 25-56 years) across a typical 7-day period. Factors related to participation, including initiators, social partners, settings and barriers, were examined.

RESULTS

Findings indicated that the majority of adults with Down syndrome did not meet established physical leisure activity intensity recommendations (i.e., 150 min/week moderately active activity) and did not exceed levels of passive leisure (e.g., watching television) found in the general population (i.e., 2-3 hr/day). Adults with Down syndrome self-initiated and self-engaged in the majority of their leisure activity. Family members and paid staff allocated resources towards initiating and engaging as social partners in social and physical leisure, respectively.

CONCLUSIONS

Interventions and support services should partner with family members and paid staff to foster participation in adaptive leisure activity, perhaps through the establishment of leisure activity as part of daily routines.

Sedentary behaviors and risk of depression: a meta-analysis of prospective studies

Epidemiological evidence on the association between sedentary behaviors and the risk of depression is inconsistent. We conducted a meta-analysis of prospective studies to identify the impact of sedentary behaviors on the risk of depression. We systematically searched in the PubMed and Embase databases to June 2019 for prospective cohort studies investigating sedentary behaviors in relation to the risk of depression. The pooled relative risks (RRs) and 95% confidence intervals (CIs) were calculated with random-effect meta-analysis. In addition, meta-regression analyses, subgroup analyses, and sensitivity analyses were performed to explore the potential sources of heterogeneity. Twelve prospective studies involving 128,553 participants were identified. A significantly positive association between sedentary behavior and the risk of depression was observed (RR = 1.10, 95% CI 1.03-1.19, I2 = 60.6%, P < 0.01). Subgroup analyses revealed that watching television was positively associated with the risk of depression (RR = 1.18, 95% CI 1.07-1.30), whereas using a computer was not (RR = 0.99, 95% CI 0.79-1.23). Mentally passive sedentary behaviors could increase the risk of depression (RR = 1.17, 95% CI 1.08-1.27), whereas the effect of mentally active sedentary behaviors were non-significant (RR = 0.98, 95% CI 0.83-1.15). Sedentary behaviors were positively related to depression defined by clinical diagnosis (RR = 1.08, 95% CI 1.03, 1.14), whereas the associations were statistically non-significant when depression was evaluated by the CES-D and the Prime-MD screening. The present study suggests that mentally passive sedentary behaviors, such as watching television, could increase the risk of depression. Interventions that reduce mentally passive sedentary behaviors may prevent depression.

The Social Context of Sedentary Behaviors and Their Relationships With Health in Later Life

This study examined sedentary behaviors among older adults and explored associations with social context and health measures using cross-sectional data from the National Health and Aging Trends Study (N = 1,687). Multivariate models were estimated to explore associations of time in six sedentary behaviors (i.e., television watching, sitting and talking, hobbies, computer use, driving, and resting) with sociodemographic characteristics and level of social engagement and with health status. Results indicated substantial variability in sedentary behaviors, with television watching being the most frequent and resting the least frequent activities. Sedentary behaviors varied by sociodemographic characteristics, including age, race/ethnicity, and education, as well as by level of social engagement. Television watching and resting, but not other behaviors, were associated with poorer health. These findings help to unpack the role of social context in sedentary behaviors and could inform public health interventions aimed at reducing time spent in behaviors that are adversely associated with health.

Distinct associations of computer/mobile devices use and TV watching with depressive symptoms in adults: A large population study in China

BACKGROUND

Recent evidence shows that screen time may be an important risk factor for mental health. The aim of this study was to examine the association of computer/mobile devices (CMD) use and TV watching separately with depressive symptoms in a large representative sample of Chinese adults.

METHODS

A sample of 18,994 adults in Tianjin, China was studied in a cross-sectional analysis. Depressive symptoms were assessed using the Self-Rating Depression Scale (SDS). CMD use and TV watching time were self-reported and divided into five categories. The associations were estimated by odds ratios (ORs) using logistic regression models adjusted for multiple confounders.

RESULTS

The prevalence of elevated depressive symptoms was 16.3% (SDS ≥ 45). For CMD use, the ORs of the depressive symptoms decreased across time levels. Compared with the least use time (<1 hr/day), multivariable-adjusted ORs (95% confidence interval [CI]) of other time categories for elevated depressive symptoms were 0.78 (0.66, 0.91), 0.67 (0.57, 0.80), 0.65 (0.54, 0.77), and 0.77 (0.62, 0.96) respectively. For TV watching, the ORs of the depressive symptoms increased across time levels. Compared with the least watching time (<1 hr/day), multivariable-adjusted ORs (95% CI) for elevated depressive symptoms across the time categories were 1.00 (0.89, 1.12), 1.28 (1.11, 1.48), 1.26 (0.98, 1.60), and 1.95 (1.10, 3.35), respectively.

CONCLUSIONS

These findings suggested that different types of screen time may play different roles in the mental health of general adults. Further studies are needed to clarify the reasons for these distinct associations.

Positive and negative well-being and objectively measured sedentary behaviour in older adults: evidence from three cohorts

Background

Sedentary behaviour is related to poorer health independently of time spent in moderate to vigorous physical activity. The aim of this study was to investigate whether wellbeing or symptoms of anxiety or depression predict sedentary behaviour in older adults.

Method

Participants were drawn from the Lothian Birth Cohort 1936 (LBC1936) (n = 271), and the West of Scotland Twenty-07 1950s (n = 309) and 1930s (n = 118) cohorts. Sedentary outcomes, sedentary time, and number of sit-to-stand transitions, were measured with a three-dimensional accelerometer (activPAL activity monitor) worn for 7 days. In the Twenty-07 cohorts, symptoms of anxiety and depression were assessed in 2008 and sedentary outcomes were assessed ~ 8 years later in 2015 and 2016. In the LBC1936 cohort, wellbeing and symptoms of anxiety and depression were assessed concurrently with sedentary behaviour in 2015 and 2016. We tested for an association between wellbeing, anxiety or depression and the sedentary outcomes using multivariate regression analysis.

Results

We observed no association between wellbeing or symptoms of anxiety and the sedentary outcomes. Symptoms of depression were positively associated with sedentary time in the LBC1936 and Twenty-07 1950s cohort, and negatively associated with number of sit-to-stand transitions in the LBC1936. Meta-analytic estimates of the association between depressive symptoms and sedentary time or number of sit-to-stand transitions, adjusted for age, sex, BMI, long-standing illness, and education, were β = 0.11 (95% CI = 0.03, 0.18) and β = − 0.11 (95% CI = − 0.19, −0.03) respectively.

Conclusion

Our findings indicate that depressive symptoms are positively associated with sedentary behavior. Future studies should investigate the causal direction of this association.

Associations of context-specific sitting time with markers of cardiometabolic risk in Australian adults

Background

High volumes of sitting time are associated with an elevated risk of type 2 diabetes and cardiovascular disease, and with adverse cardiometabolic risk profiles. However, previous studies have predominately evaluated only total sitting or television (TV) viewing time, limiting inferences about the specific cardiometabolic health impacts of sitting accumulated in different contexts. We examined associations of sitting time in four contexts with cardiometabolic risk biomarkers in Australian adults.

Methods

Participants (n = 3429; mean ± SD age 58 ± 10 years) were adults without clinically diagnosed diabetes or cardiovascular disease from the 2011–2012 Australian Diabetes, Obesity and Lifestyle (AusDiab) study. Multiple linear regressions examined associations of self-reported context-specific sitting time (occupational, transportation, TV-viewing and leisure-time computer use) with a clustered cardiometabolic risk score (CMR) and with individual cardiometabolic risk biomarkers (waist circumference, BMI, resting blood pressure, triglycerides, HDL- and LDL-cholesterol, and fasting and 2-h post-load plasma glucose).

Results

Higher CMR was significantly associated with greater TV-viewing and computer sitting time (b [95%CI] = 0.07 [0.04, 0.09] and 0.06 [0.03, 0.09]), and tended to be associated with higher occupational and transport sitting time (0.01 [− 0.01, 0.03] and 0.03 [− 0.00, 0.06]), after adjustment for potential confounders. Furthermore, keeping total sitting time constant, accruing sitting via TV-viewing and computer use was associated with significantly higher CMR (0.05 [0.02, 0.08] and 0.04 [0.01, 0.06]), accruing sitting in an occupational context was associated with significantly lower CMR (− 0.03 [− 0.05, − 0.01]), while no significant association was seen for transport sitting (0.00 [− 0.03, 0.04]). Results varied somewhat between the respective biomarkers; however, higher sitting time in each domain tended to be associated detrimentally with individual biomarkers except for fasting glucose (non-significant associations) and systolic blood pressure (a beneficial association was observed). Overall, associations were stronger for TV-viewing and computer use, and weaker for occupational sitting.

Conclusions

Higher context-specific sitting times tended to be detrimentally associated, albeit modestly, with CMR and several cardiometabolic risk biomarkers. There was some evidence suggesting that the context in which people sit is relevant above and beyond total sitting time. Methodological issues notwithstanding, these findings may assist in identifying priorities for sitting-reduction initiatives, in order to achieve optimal cardiometabolic health benefits.

Electronic supplementary material

The online version of this article (10.1186/s12966-018-0748-3) contains supplementary material, which is available to authorized users.

Objectively-Assessed Patterns and Reported Domains of Sedentary Behavior Among Japanese Older Adults

BACKGROUND

Prolonged periods of sitting time can be adversely associated with older adults' well-being and functional capacities. Understanding patterns and contexts of sedentary behaviors (SB) can inform approaches to prevention. This study examined Japanese older adults' objectively-assessed patterns and reported domains of SB and their interrelationships.

METHODS

Participants (n = 297; aged 65-84 years) of this cross-sectional study wore an accelerometer for 7 days and completed a survey. Five measures related to SB patterns were identified from the accelerometer data. SB from six domains, socio-demographics, and chronic conditions were identified from the survey data. Relative contributions of six domains to objectively-measured prolonged sedentary time (≥30 minutes) and the number of breaks were examined in a series of multivariate linear regressions. Covariates were socio-demographics, chronic conditions, and accelerometer wear time.

RESULTS

On average, participants spent 8.8 hours a day sedentary (58% of accelerometer wear time), with 7.6 breaks per sedentary hour, and 3.7 hours a day through prolonged sedentary bouts (4.4 time/day). The proportions of time in the SB domains were 9.4% for car, 4.0% for public transport, 6.1% for work, 45.5% for television (TV) viewing, 9.8% for computer use, and 25.1% for other leisure. Domains of SB that contributed significantly to longer sedentary time through prolonged bouts were TV viewing and computer use. TV viewing was also associated with a lesser number of breaks.

CONCLUSIONS

For Japanese older adults, initiatives to address SB could focus on breaking-up prolonged periods of SB by encouraging more frequent breaks, especially during TV viewing.