Potential influence of physical, psychological and lifestyle factors on the association between television viewing and depressive symptoms: A cross-sectional study

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.

The relationships between screen time and mental health problems among Chinese adults

BACKGROUND

This study aimed to examine the specific relationships between screen time and various mental health problems among community-dwelling adults in China.

METHODS

Self-reports of weekday and weekend screen time (TV, computer use and cell phone/tablet use), symptoms of PTSD, depression, and ADHD, and psychotic-like experiences (PLEs) were completed by 7121 Chinese adults. Logistic regression was used to examine specific relationships between screen time and mental health problems with demographics, physical activity, drinking, smoking, and sleep duration as covariates.

RESULTS

On weekdays, the participants spending at least 3 h on watching TV, computer use and cell phone/tablet use respectively accounted for 6.8%, 15.9% and 45.9%. On weekends, the proportions were 15.5%, 12.1% and 50.0%. Computer use on weekends was associated with higher risk of PTSD (OR = 1.81); cell phone/tablet use on weekdays and weekends was related to increased depression (OR = 1.38, OR = 1.28, respectively), while only computer use on weekends was related to depression (OR = 1.33); cell phone/tablet use both on weekdays and weekends was also connected to ADHD (OR = 1.56, OR = 1.48, respectively); on weekdays and weekends, more time TV viewing (OR = 1.76-1.79, OR = 1.46-1.71, respectively) and less cell phone/tablet use (OR = 0.66, OR = 0.65, respectively) were associated with higher numbers of PLEs.

CONCLUSIONS

The relationships between different types of screen time and mental health problems are variant. Future longitudinal studies should subdivide screen time on the basis of content and explore the specific causal relationship between screen time and mental health problems.

Correlates of screen-based behaviors among adults from the 2019 Brazilian National Health Survey

We aimed to investigate correlates of TV viewing and other types of screen-based behaviors in a nationally representative sample of Brazilian adults. In the 2019 Brazilian National Health Survey (including 88,509 adults), TV viewing time and other types of screen behaviors (computer, tablet, and cellphone use) were self-reported and different geographical, sociodemographic, behavioral, and health status factors were investigated as potential correlates. Multinomial logistic regression models were used for the main analyses. Living in capital cities, urban areas, being unemployed, high consumption of soft drinks, obesity, and elevated depressive symptoms were each associated with more TV viewing and more time using other types of screens. There were differential associations between TV viewing and the use of other types of screen across age and socioeconomic variables. For instance, younger adults have a more diverse portfolio of screen time than older adults. To conclude, levels of screen-based behaviors vary by geographical, sociodemographic, behavioral, and health status characteristics. Interventions should focus on high-risk population groups and may benefit from targeting specific sedentary behaviors of interest.

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.

Independent relationships between different domains of physical activity and depressive symptoms among 60,202 Brazilian adults

OBJECTIVE

To analyze the association between four key different physical activity (PA) domains and depressive symptoms among Brazilian adults.

METHODS

Data from the Brazilian National Health Survey (n = 60,202; ≥18 years) were used. PA across four different domains (leisure, transport, occupational and household) was collected through specific questionnaires. The cutoff point adopted in each domain was 150 min/week. Depression was evaluated through the Patient Health Questionnaire-9. Multivariable adjusted linear and logistic regression models were applied.

RESULTS

Leisure PA was associated with lower depressive symptoms [β: -0.008 (95% CI: -0.010 to -0.005); OR: 0.69 (95% CI: 0.59 to 0.81)]. Transport PA was also associated with lower depressive symptoms among older adults [β -0.008 (-0.012 to -0.003); OR: 0.70 (95% CI: 0.53-0.94)] but not middle-aged adults. On the other hand, occupational PA [β: 0.003 (95% CI: 0.002 to 0.005); OR: 1.62 (95% CI: 1.38 to 1.91)] and household PA [β: 0.009 (95% CI: 0.006 to 0.012); OR: 1.57 (95% CI: 1.37 to 1.79)] were associated with higher depressive symptoms.

CONCLUSION

The association between PA and depression symptoms varies according to the domains of PA and some appear independent from each other. While leisure PA is associated with fewer depressive symptoms; occupational and household PA appear to be associated with an increased depression risk.

Energy Justice in Slum Rehabilitation Housing: An Empirical Exploration of Built Environment Effects on Socio-Cultural Energy Demand

The interaction of energy and buildings institutes a complex socio-technical system that influences the eudemonic well-being of the occupants. Understanding these drivers become even more necessary in impoverished areas where occupants struggle to avail essential energy services. The literature indicates that energy injustice can be addressed through provisioning of comfort, cleanliness, and convenience (3Cs) as critical cultural energy services in low-income areas. This study investigates the socio-architectural influence for slum rehabilitation housing (SRH) on cultural energy services that can promote distributive justice. The methodology adopts an empirical route using data from 200 household surveys from SRH in Mumbai, India, and João Pessoa, Brazil. A model between the 3Cs and socio-architectural elements was established using Firth’s binary logistic regression. The survey results showed that the SRH in Brazil had twice the appliance ownership as compared to the Mumbai SRH. There were distinct energy service preferences in the study areas, despite common poverty burdens. The empirical results showed that the lack of socio-architectural design elements like open spaces, privacy, and walkability in the study areas demanded specific comfort and convenience appliances as a counter-response. A critical policy implication drawn was on the need for socio-architectural inclusive energy planning for distributive justice in poverty. Mitigating rising energy demand through appropriate built environment design of slum rehabilitation housing can contribute to fulfilling the UN’s SDG 7 (clean and affordable energy) and 11 (sustainable cities and communities) goals.