The association of cooking fuels with depression and anxiety symptoms among adults aged ≥65 years from low- and middle-income countries

Long-term exposure to air pollutants, meteorological factors, and mental health status: a nationwide population-based study with multilevel regression analysis

BACKGROUND

Air pollutants and meteorological conditions have shown significant adverse effects on human health; however, their impact on mental health remains inconclusive and underexplored. Thus, this study aimed to investigate the association between long-term exposure to air pollutants (PM2.5 and PM10), meteorological factors, and depression and anxiety.

METHODS

We selected 10,076 participants aged 15-49 from the Nepal Demographic and Health Survey (NDHS) 2022, who had lived in their current domiciles for over five years. The Patient Health Questionnaire-9 (PHQ-9) and the Generalized Anxiety Disorder (GAD-7) scale were used to quantify the presence of depression and anxiety. The mean levels of air pollutants (PM2.5 and PM10), temperature, and relative humidity between August 2021 and July 2022 were obtained from the national air quality monitoring center and the meteorological department. Adjusted linear and polynomial logistic regression models were used to estimate the risk of depression and anxiety.

RESULTS

The prevalence of depression and anxiety among participants was 3.8% and 16.9%, respectively. Increased PM2.5 and PM10 concentrations were significantly associated with increased PHQ-9 (PM2.5: β, 0.015; PM10: β, 0.011) and GAD-7 (PM2.5: β, 0.024; PM10: β, 0.011) scores. Exposure to higher PM2.5 and PM10 concentrations increased the risk of depression {OR, 95% CI (PM2.5: 1.05, 1.03-1.08); (PM10: 1.04, 1.01-1.05)} and anxiety {OR, 95% CI (PM2.5: 1.06, 1.04-1.10); (PM10: 1.03, 1.01-1.04)}, whereas higher temperatures and higher humidity showed a protective effect (p < 0.05).

CONCLUSION

This study demonstrates the substantial impact of air pollutants and meteorological factors on mental health status. Findings suggest that exposure to air pollutants may serve as an independent risk factor for depression and anxiety. Therefore, further robust investigations including large epidemiological cohorts and longitudinal observational studies are needed to elucidate these associations.

CLINICAL TRIAL NUMBER

Not applicable.

How can interventions of building renovation and household energy conversion effectively improve the physical and mental health outcomes? A systematic review and meta-analysis

Household energy efficiency measures can effectively reduce indoor air pollution and positively impact the health of residents, but there is no conclusive evidence on the effectiveness of different energy efficiency measures for various diseases. This study used systematic review and meta-analysis to research the effects of two interventions on residents’ physical and mental health: building renovation (heating, insulation, double-glazed windows and ventilation) and household energy conversion (stove upgrading and clean energy use). A total of 79 papers published between 1977 and 2023 were reviewed in this study, providing comprehensive meta-analytic evidence on the effectiveness of energy efficiency measures. The results show that household energy-saving measures have a minor but significant positive influence on residents’ physical and mental health, with the effect on mental health being larger than the impact on physical health. Stove upgrading is advantageous in respiratory and cardiovascular diseases; insulation can greatly reduce the risk of skin diseases; heating is beneficial in sensory and digestive diseases; and clean energy use can successfully mitigate integrative diseases. Furthermore, a combination of heating and insulation measures has the most favourable influence on mental health conditions such as depression, anxiety and social isolation. The study findings can help residents, policymakers and relevant organizations take appropriate interventions to promote residents’ physical and mental health.

Long-term effects of fine particulate matter components on depression among middle-aged and elderly adults in China: A nationwide cohort study

BACKGROUND

Fine particulate matter (PM2.5) has been implicated in various health concerns. However, a comprehensive understanding of the specific PM2.5 components affecting depression remains limited.

METHODS

This study conducted a Cox proportional-hazards model to assess the effect of PM2.5 components on the incidence of depression based on the China Health and Retirement Longitudinal Study (CHARLS). Participants with 10-item Center for Epidemiologic Studies Depression Scale (CESD-10) score of 10 or higher were classified as exhibiting depression.

RESULTS

Our findings demonstrated a significant positive correlation between long-term exposure to black carbon (BC), sulfate (SO42-), and organic matter (OM) components of PM2.5 and the prevalence of depression. Per 1 Interquartile Range (IQR) increment in 3-year average concentrations of BC, OM, and SO42- were associated with the hazard ratio (HR) of 1.54 (95 % confidence intervals (CI): 1.44, 1.64), 1.24 (95%CI: 1.16, 1.34) and 1.25 (95%CI: 1.16, 1.35). Notably, females, younger individuals, those with lower educational levels, urban residents, individuals who were single, widowed, or divorced, and those living in multi-story houses exhibited heightened vulnerability to the adverse effects of PM2.5 components on depression.

LIMITATIONS

Firstly, pollutant data is confined to subjects' fixed addresses, overlooking travel and international residence history. Secondly, the analysis only incorporates five fine particulate components, leaving room for further investigation into the remaining fine particulate components in future studies.

CONCLUSIONS

This study provides robust evidence supporting the detrimental impact of PM2.5 components on depression. The identification of specific vulnerable populations contributes to a deeper understanding of the underlying mechanisms involved in the relationship between PM2.5 components and depression.

Association between household air pollution due to unclean fuel use and depression among older adults in India: A cross-sectional study

Background

Depression is a major public concern among older adults. However, limited studies have examined the association of depression and household air pollution (HAP). Therefore, this study examines the association between HAP due to unclean fuel use and depression among older adults in India.

Methods

Data from Longitudinal Aging Study of India (LASI), wave-1 (2017-18) were used (N = 50,206, ≥50 years). Depression measured by CIDI-SF (Composite International Diagnostic Interview-Short Form) was the outcome variable. Household unclean fuel use was considered as proxy of HAP. Bivariate analyses and multivariate logistic regression were used to fulfil the study objectives.

Results

The prevalence of depression was greater among unclean fuel users than clean fuel users (9.6% vs 6.6%). Results showed that household unclean fuel use was associated with higher odds of depression. The interaction analyses showed that females and rural residents were at higher risk of depression due to HAP exposure. Furthermore, household cooking conditions also played an important role in the association between HAP exposure and depression. Unclean fuel use indoors without ventilation and with traditional chullah/stove was associated with higher odds of depression among older adults.

Conclusion

The study concludes that exposure to HAP due to unclean fuel use should be considered as a potential risk factor of depression among older adults. Therefore, the study suggests an urgent need to create awareness about negative effects of unclean fuel use on mental health and promote clean fuel usage in households to ensure healthy aging.

The Relationship between Ambient Fine Particulate Matter (PM2.5) Pollution and Depression: An Analysis of Data from 185 Countries

Several studies have identified a relationship between air pollution and depression, particularly in relation to fine particulate matter (PM2.5) exposure. However, the strength of this association appears to be moderated by variables such as age, gender, genetic vulnerability, physical activity, and climatic conditions, and has not been assessed at a cross-national level to date. Moreover, certain studies in this field have yielded negative results, and there are discrepancies between the results obtained in high-income countries and those from low- and middle-income countries. The current study examines cross-sectional and longitudinal associations between the incidence of depression in each country, based on Global Burden of Disease Study data, and the average national level of PM2.5 based on the World Health Organization’s database, over the past decade (2010–2019). The observed associations were adjusted for age, gender, level of physical activity, income, education, population density, climate, and type of depression. It was observed that while PM2.5 levels showed significant cross-sectional associations with the incidence of depression, longitudinal analyses were not suggestive of a direct causal relationship. These findings are discussed in the light of recent contradictory results in this field, and the need to consider the intermediate roles of a number of individual and environmental factors.

Healthy Aging at Family Mealtimes: Associations of Clean Cooking, Protein Intake, and Dining Together with Mental Health of Chinese Older Adults amid COVID-19 Pandemic

The present study aims to examine whether multiple dietary factors affect the mental health of older adults amid the COVID-19 pandemic. It proposes an integrative dietary framework that highlights environmental, nutritional, and social aspects of diet for healthy aging. Based on a sample of 7858 Chinese older adults, the associations between diet and depressive symptoms, along with the rural-urban divide, were examined using zero-inflated negative binomial regression. Overall, protein intake (incidence-rate ratio [IRR] = 0.89, p < 0.001), frequency of family dining together (IRR = 0.98, p < 0.001), and using tap water for cooking (IRR = 0.92, p < 0.01) were associated with lower incidence rates of depressive symptoms among older adults. Among rural older adults, frequency of family dining together (IRR = 0.97, p < 0.001) and tap water use (IRR = 0.89, p < 0.001) were associated with fewer depressive symptoms. However, urban residents who had a higher frequency of family dining together (IRR = 0.98, p < 0.05) and protein intake (IRR = 0.81, p < 0.001) exhibited fewer depressive symptoms. The findings revealed multifaceted dietary pathways towards healthy aging, which call for policies and interventions that improve diet quality for community-dwelling older adults.