Health, Social, and Economic Variables Associated with Depression Among Older People in Low and Middle Income Countries: World Health Organization Study on Global AGEing and Adult Health

Gait speed, handgrip strength, and their combination, and risk of depression in later life: Evidence from a prospective study of community-dwelling older adults

OBJECTIVE

This study investigated the association between gait speed, handgrip strength, and their combination, and the risk for developing clinically relevant depressive symptoms in community-dwelling older adults.

METHODS

A secondary analysis was conducted using data from the ASPirin in Reducing Events in the Elderly study. Participants were community-dwelling older adults in Australia and the United States of America followed for a median (interquartile range) of 3.97 (2.26) years. Baseline handgrip strength and gait speed were used as exposure variables, and their combination categories were also explored. Depression was measured using the modified Center for Epidemiological Studies Depression 10-item scale (CES-D 10). Cox regression was used to estimate Adjusted Hazard Ratios (AHR) with 95 % Confidence Intervals (CI) after adjusting for a range of potential confounders.

RESULT

A total of 17,231 participants (55.3 % women) were included in the analysis. Slow gait and weak grip at baseline were associated with the risk of depression (AHR: 1.20; CI: 1.11-1.29 and 1.14; 1.06-1.23, respectively). The combination of the two physical performance measures was associated with a 31 % increase in the risk of depression (1.31; 1.16-1.47) and a significant dose-response association was observed for quintiles of gait and grip with depression.

LIMITATIONS

Although the CES-D 10 is a validated scale, it is a self-reported tool rather than a clinical diagnosis of depression.

CONCLUSION

Low physical function may be a risk factor for depression in older adults. This highlights the inextricable link between the physical and mental health of older adults, which can inform potential clinical and public health prevention strategies for depression in later life.

Depression-induced changes in directed functional brain networks: A source-space resting-state EEG study

Current research confirms abnormalities in resting-state electroencephalogram (EEG) power and functional connectivity (FC) patterns in specific brain regions of individuals with depression. To study changes in the flow of information between cortical regions of the brain in patients with depression, we used 64-channel EEG to record neural oscillatory activity in 68 relevant cortical regions in 22 depressed patients and 22 healthy adolescents using source-space EEG. The direction and strength of information flow between brain regions was investigated using directional phase transfer entropy (PTE). Compared to healthy controls, we observed an increased intensity of PTE information flow between the left and right hemispheres in the theta and alpha frequency bands in depressed subjects. The intensity of information flow between anterior and posterior regions within each hemisphere was reduced. Significant differences were found in the left supramarginal gyrus, right delta in the theta frequency band and bilateral lateral occipital lobe, and paracentral gyrus and parahippocampal gyrus in the alpha frequency band. The accuracy of cross-classification of directed PTE values with significant differences between groups was 91%. These findings suggest that altered information flow in the brains of depressed patients is related to the pathogenesis of depression, providing insights for patient identification and pathological studies.

Negative life events, sleep quality, and depression among older adults in Shandong Province, China: A conditional process analysis based on economic income

AIM

Negative life events have been reported as a risk factor for depression. However, the mechanism between negative life events and depression is still unclear. This study aimed to explore the mediating role of sleep quality and the moderating role of economic income in the association between negative life events and depression among older adults aged 60 years and over.

METHODS

A multi-stage stratified sampling method was used to select elderly individuals over 60 years old in Shandong, China, making use of the Household Health Interview Survey (2020). In total, 3868 older adults completed the measures of negative life events, sleep quality, depression, and economic income.

RESULTS

Negative life events positively predicted depression among the elderly (proportion of direct effect, 55.12%), and poor sleep quality could mediate this association (proportion of indirect effect, 44.87%). Economic income played a moderating role in the relationship between negative life events, sleep quality, and depression (the first and second half of the mediating effect, the direct effect of negative life events on depression). Both effects were weaker among the elderly with higher economic incomes.

CONCLUSIONS

Negative life events had positive effects on depression in older adults. Economic income moderated the direct effect of negative life events and the mediating effect (first and second half) of sleep quality on depression. When the elderly experience negative life events, interventions for improving their sleep quality and financial support could effectively prevent depression. Geriatr Gerontol Int 2024; 24: 751-757.

Cross-sectional evaluation of the multidimensional indicators of psychosocial functioning and its sociodemographic correlates among Indian adults: WHO SAGE Study (2007-2010)

This study examined the relationship between sociodemographic characteristics and psychosocial functioning (PF) among Indian adults. Data (N = 11,230) for this study came from the World Health Organization's SAGE (Longitudinal Study of Global Aging and Adult Health) Wave 1 2007-2010. First, multivariable regression analyses (logistic or linear regression depending on the outcome variable) were run to evaluate whether PF indicators varied by gender after controlling other sociodemographic characteristics. Next, the relationship between sociodemographic characteristics and PF indicators was examined using ordinary least square regression (OLS) models and logistic regression models, separately for men and women. Specifically, the PF indicators, including social indicators of interpersonal relationship difficulty, social connectedness, and personal indicators of sleep, affect, perceived quality of life, and cognition were each regressed on sociodemographic factors. All analyses in the study were cross-sectional in nature and conducted using STATA version 15.1. Overall, the study found significant sociodemographic differences in PF among Indian adults that also varied by gender. As such, social and/or economic disadvantage was associated with poorer PF. However, the results demonstrated that socioeconomic patterns in PF were much more nuanced among women than among men. This study adds to previous research on PF in India and provides new insights into how sociodemographic characteristics shape it. A major research implication of this finding is that inconsistent with assumptions of previous research, an increase in SES is not always linked to proportionate increases in PF among women. The study also makes a compelling case for separately examining multiple non-clinical outcomes of psychosocial health.

Socioeconomic status, loneliness, and depression among older adults: a cross-sectional study in Spain

BACKGROUND

The association between socioeconomic status and depression is weaker in older adults than in younger populations. Loneliness may play a significant role in this relationship, explaining (at least partially) the attenuation of the social gradient in depression. The current study examined the relationship between socioeconomic status and depression and whether the association was affected by loneliness.

METHODS

A cross-sectional design involving dwelling and nursing homes residents was used. A total of 887 Spanish residents aged over 64 years took part in the study. Measures of Depression (GDS-5 Scale), Loneliness (De Jong-Gierveld Loneliness Scale), Socioeconomic Status (Education and Economic Hardship), and sociodemographic parameters were used. The study employed bivariate association tests (chi-square and Pearson's r) and logistic regression analyses.

RESULTS

The percentage of participants at risk of suffering depression was significantly higher among those who had not completed primary education (45.5%) and significantly lower among those with university qualifications (16.4%) (X2 = 40.25;p <.001), and respondents who could not make ends meet in financial terms faced a higher risk of depression (X2 = 23.62;p <.001). In terms of the respondents who experienced loneliness, 57.5% were at risk of depression, compared to 19% of those who did not report loneliness (X2 = 120.04;p <.001). The logistic regression analyses showed that having university qualifications meant a 47% reduction in the risk of depression. This risk was 86% higher among respondents experiencing financial difficulties. However, when scores for the loneliness measure were incorporated, the coefficients relating to education and economic hardships ceased to be significant or were significantly reduced.

CONCLUSION

Loneliness can contribute to explaining the role played by socioeconomic inequalities in depression among older adults.

How the interplay of late retirement, health care, economic insecurity, and electronic social contact affects the mental health amongst older workers?

The delayed retirement initiative has become increasingly emphasised to cope with the population ageing. Based on the social-ecological model, this study explores the interplay of late retirement, health care, economic insecurity, and electronic social contact on mental health of older workers. Using data from the Survey of Health, Ageing and Retirement in Europe (wave 8), results show that the late retirement, health care quality, and electronic social contact are all negatively associated with the mental health problems among older workers. Besides, the influence of health care quality and electronic social contact on mental health problems are buffered by the economic insecurity respectively. It is concluded that more targeted policy response is in need to achieve better health outcomes among older workers.

Estimating the economic impact of complications after open tibial fracture: A secondary analysis of the pilot Gentamicin Open Tibia trial (pGO-Tibia)

Objectives

To estimate the indirect economic impact of tibial fractures and their associated adverse events (AEs) in Tanzania.

Design

A secondary analysis of the pilot Gentamicin Open (pGO)-Tibia randomized control trial estimating the indirect economic impact of suffering an AE, defined as a fracture-related infection (FRI) and/or nonunion, after an open tibial fracture in Tanzania.

Setting

The pGO-Tibia trial was conducted from November 2019 to August 2021 at the Muhimbili Orthopaedic Institute in Dar es Salaam, Tanzania.

Patients/Participants

One hundred adults with open tibial shaft fractures participated in this study.

Intervention

Work hours were compared between AE groups. Cost data were analyzed using a weighted-average hourly wage and converted into purchasing power parity-adjusted USD.

Main Outcome Measurements

Indirect economic impact was analyzed from the perspective of return to work (RTW), lost productivity, and other indirect economic and household costs. RTW was analyzed using a survival analysis.

Results

Half of patients returned to work at 1-year follow-up, with those experiencing an AE having a significantly lower rate of RTW. Lost productivity was nearly double for those experiencing an AE. There was a significant difference in the mean outside health care costs between groups. The total mean indirect cost was $2385 with an AE, representing 92% of mean annual income and an increase of $1195 compared with no AE. There were significantly more patients with an AE who endorsed difficulty affording household expenses postinjury and who borrowed money to pay for their medical expenses.

Conclusions

This study identified serious economic burden after tibial fractures, with significant differences in total indirect cost between those with and without an AE.

Level of Evidence

II.

Decomposition analysis of the difference in depressive symptoms between urban and rural employed people in China: Unpaid work plays an important role

OBJECTIVE

Focusing on the relationship between unpaid labor and the occurrence of depressive symptoms, this study aimed to explore the factors influencing the inequality of depressive symptoms and their contribution among Chinese urban and rural employed people.

METHODS

This study utilized the 2020 China Family Panel Studies' national resampling data. Multivariate logistic regression was used to explore the factors influencing the occurrence of depressive symptoms among employed persons in urban and rural areas in China, respectively. Fairlie decomposition was used to explore the contribution of influencing factors such as unpaid labor to the difference in the occurrence of depressive symptoms between urban and rural areas.

RESULTS

About 2,136 (21.70%) participants had depressive symptoms, of which 1,197 (24.75%) rural employed people had depressive symptoms and 939 (18.75%) urban employed people had depressive symptoms. The results of Fairlie decomposition analysis showed that 70.51% of the differences in depressive symptoms between urban and rural Chinese employed people could be explained by the covariates included in this study, including education level (52.44%), age (-11.91%), housework time (10.42%), self-rated health status (10.22%), self-rated income status (2.53%), exercise (2.36%), job satisfaction status (1.99%), chronic disease status (1.90%), and marital status (1.79%).

CONCLUSION

This study found that the proportion of depressive symptoms was lower among urban employed residents than among rural employed residents. This difference was mainly caused by unpaid labor time, socioeconomic status, personal lifestyle, and health status. Housework, which is one of the unpaid labor, contributed to this depressive symptom difference in the third place.

Challenges and opportunities in strengthening primary mental healthcare for older people in India: a qualitative stakeholder analysis

BACKGROUND

Primary mental healthcare (PMHC) allows for complex mental health issues in old age to be addressed. India has sought to improve PMHC through legislation, strategies and programmes. This study analyses the challenges and opportunities involved in strengthening PMHC for older persons in India from the perspectives of key stakeholders.

METHODS

Semistructured interviews were conducted with 14 stakeholders selected from the PMHC system in India and analysed using thematic analysis. First, the analysis was organizationally structured in accordance with the six WHO mental health system domains: (1) policy and legislative framework, (2) mental health services, (3) mental health in primary care, (4) human resources, (5) public information and links to other sectors, and (6) monitoring and research. Second, for each building block, challenges and opportunities were derived using inductive coding.

RESULTS

This study highlights the numerous challenges that may be encountered when attempting to strengthen age-inclusive PMHC. Among these challenges are poor public governance, a lack of awareness and knowledge among policy-makers and other stakeholders, and existing policies that make unrealistic promises to weak primary healthcare (PHC) structures with an excessive focus on medicalizing mental health problems. Thus, the mental health system often fails to reach vulnerable older people through PHC. Established approaches to comprehensive, family- and community-oriented PHC support attempts to strengthen intersectoral approaches to PMHC that emphasize mental health promotion in old age. Targeting the PHC workforce through age-inclusive mental health education is considered particularly necessary. Experts further argue that adequate monitoring structures and public spending for mental health must be improved.

CONCLUSIONS

In this study, we aim to elaborate on the mental healthcare developments that may serve to achieve equity in access to mental healthcare in India. Coordinated and collaborative efforts by public and private stakeholders involved in the care of older persons, both with and without lived mental health experiences, as well as their families and communities, are necessary to bring the vision of those policies for PMHC to fruition. The findings presented in this study can also inform future research, policies and practice in other low- and middle-income countries.

Community-based mental health interventions in low- and middle-income countries: a qualitative study with international experts

BACKGROUND

Mental health services are scarce in low- and middle-income countries (LMICs), and designing and implementing effective interventions can be difficult. The aim of this international study was to explore the key lessons for developing, implementing, and evaluating community-based mental health and well-being interventions in LMICs, with an additional focus on older adults.

METHODS

Research and clinical experts in developing and implementing psychosocial community-based interventions in LMICs were interviewed remotely between October 2021 and January 2022. Participants were recruited via existing global health networks and via published literature searches. Participants were asked about their experiences of developing and implementing interventions, and about key barriers and facilitators during the process. Interviews lasted up to 45 min, and data were analysed using combined inductive and deductive thematic analysis.

RESULTS

Sixteen global mental health experts participated. Five themes with different sub-themes were generated: Mechanisms and contexts; Barriers; Facilitators; Public and stakeholder involvement; Looking through an ageing lens. The development and delivery of mental health interventions in LMICs are facilitated through integration into existing health infrastructures and working with existing job roles as delivery agents. Public and stakeholder involvement are crucial at all stages of development through to implementation to focus on meeting local needs and sustaining participant motivation. Logistical barriers of transport, resources, and location need to be addressed, emphasising local sustainability.

CONCLUSIONS

This study provides important insights for how the development, implementation, and evaluation of community-based mental health and well-being interventions in LMICs can be optimised, and can complement general guidance into complex interventions developments.

Understanding the impact of socioeconomic and health factors on geriatric depression: A comparative study in rural and urban Bangladesh

Background and Aims

The prevalence of depression among the elderly is a growing concern, and this study examines the differences between urban and rural areas in terms of geriatric depression.

Methods

Using a two-stage random sampling approach in urban areas and a multistage random sampling approach in rural areas, the study surveyed 944 elderly individuals of both sexes.

Results

The results indicate that the prevalence of depression was high, with 52.5% of the elderly population experiencing mild to severe depression. The study found that increasing age, female gender, nuclear family structure, and involvement of housewives or others were significant factors affecting depression in urban areas, while increasing age and elderly people without spouses were significant factors in rural areas. Additionally, the study identified hearing impairment, asthma, and arthritis as risk factors for depression in rural areas, and bronchitis, heart disease, and thyroid illness as significant factors in urban areas.

Conclusion

These findings highlight the need for policymakers to focus on addressing the mental health needs of older people, particularly women and those without spouses.

Solid fuel use, socioeconomic status and depression: a cross-study of older adults in China

BACKGROUND

Indoor air pollution causes severe psychological stress and promotes depression. A better understanding of the impact of solid fuel consumption and socioeconomic indicators on mental health is critical to promote successful aging. In this study, we analyzed the relationship of depression with socioeconomic status (SES) and solid fuel use, and illustrated the mediating role of solid fuel use in the relationship between SES and depression.

METHODS

9250 participants from the 2018 wave of the Chinese Longitudinal Healthy Longevity Survey were included in this study. A logistic regression analysis was used to calculate odds ratio (OR) and 95% confidence interval (CI) of depression for different types of fuel consumption. The stepwise approach and the Sobel test were used to test the mediation effect.

RESULTS

Older people who reported the consumption of solid fuels showed higher odds of having depressive symptoms (OR = 1.16, 95% CI:1.03, 1.31). In model with depression as the outcome variable, the ORs of low education level and low annual household income level were 1.30 (95% CI: 1.15, 1.47) and 1.43 (95% CI: 1.28, 1.59) respectively. Solid fuel consumption accounted for 38.40% of the effect of a low education level and 54.73% of the effect of low income on depression.

CONCLUSIONS

Solid fuel use and SES are associated with depression, and solid fuel use may act as a potential mediator connecting socioeconomic indicators and depression.

Explaining the Urban-Rural Difference in Late-Life Depression in India: Evidence from a Multivariate Decomposition Analysis Based on Longitudinal Aging Study in India, Wave 2017-18

OBJECTIVES

The study explored the associated factors of depression among older Indian adults and the influences of individual and socio-environmental factors in explaining the rural-urban difference in the prevalence of late-life depression.

METHODS

Data come from the Longitudinal Aging Study in India, with a sample of 30,637 older adults aged 60 and above. Multivariable logistic regression and nonlinear multivariate decomposition analyses were conducted to fulfill the objectives.

RESULTS

About 6.2% older adults in urban areas and 9.5% in rural areas were depressed. Older adults in rural areas had significantly higher likelihood to be depressed than those in urban areas. Poor self-rated health, multiple chronic conditions, functional difficulty, low life satisfaction, social inactivity, low satisfaction with living arrangement, ill-treatment and being widowed increased the risk of depression. Additionally, work status similar to urban older adults, physical activity, living arrangement satisfaction, self-rated health and ill-treatment would decrease the urban-rural difference in depression.

CONCLUSIONS

The study showed significant rural-urban difference in late-life depression, with a rural disadvantage.

CLINICAL IMPLICATIONS

The findings suggest the need for identifying at-risk populations and developing a framework of targeted policy interventions for mitigating the increased risk of late-life depression among older Indians and in rural areas in particular.

Correlation of Positive Psychological Health among US Adults (Aged ≥ 50 Years) with Pain and Documented Opioid Treatment

In this study, we aimed to identify the factors correlated with positive psychological health among United States older adults (≥50 years) with pain and documented opioid treatment. This retrospective cross-sectional study utilized a nationally representative dataset (Medical Expenditure Panel Survey). A multivariable logistic regression model was developed to assess the correlation of positive psychological health in the eligible population. The logistic regression model showed having excellent/very good/good (versus fair/poor) perceived health (adjusted odds ratio [AOR] = 9.062; 95% confidence interval [CI] = 5.383, 15.254) had a statistically significant correlation with positive psychological health among the eligible population. This finding offers important insights for clinicians and policymakers to consider when formulating approaches to better manage the psychological health of United States older adults with pain and documented opioid treatment.

Primary mental healthcare for older people in India: between stigmatization and community orientation

BACKGROUND

Questions of equitable access to primary mental healthcare (PMHC) for older persons in India have been examined mostly in terms of the coverage of services, although perceptions of mental health and old age and social norms at the community level should be considered in the shaping of PMHC approaches. The present qualitative study, therefore, examined how social perceptions and norms of mental health in old age are and should be considered in the design and implementation of primary healthcare approaches in India.

METHODS

A secondary thematic analysis of semi-structured interviews with key stakeholders (n = 14) of PMHC in India was conducted.

RESULTS

Four key themes emerged from the analysis, in which social perceptions and norms were discussed: (1) family participation and low threshold access to mental healthcare, (2) the position of community health workers as an important pillar of old age and mental health-sensitive community-based care, (3) the role of social cohesion and traditional values in fostering a positive and supportive community environment for old age mental health, and (4) the empowerment of communities, families and older persons through mental health education.

CONCLUSIONS

PMHC, with its focus on mental health promotion, could be an important anchor for combatting negative attitudes about mental health and old age. The findings presented in this study can inform age-sensitive policies and programmes for mental health in India and could inform future research on the subject.

The prevalence and correlates of depression among older adults in greater kumasi of the ashanti region

BACKGROUND

Approximately two million Ghanaians suffer from mental disorders including depression. The WHO defines it as an illness characterized by constant sadness and loss of interest in activities that a person usually enjoys doing and this condition is the leading cause of mental disorders; however, the burden of depression on the aged population is fairly unknown. A better appreciation of depression and its predictors is necessary to design appropriate policy interventions. Therefore, this study aims to assess the prevalence and correlates of depression among older people in the Greater Kumasi of the Ashanti region.

METHODS

A cross-sectional study design with a multi-stage sampling approach was employed to recruit and collect data from 418 older adults aged 60 years and above at the household level in four enumeration areas (EAs) within the Asokore Mampong Municipality. Households within each EAs were mapped and listed by trained resident enumerators to create a sampling frame. Data was collected electronically with Open Data Kit application over 30 days through face-to-face interaction using the Geriatric Depression Scale (GDS). The results were summarized using descriptive and inferential statistics. A multivariable logistics regression using a forward and backward stepwise approach was employed to identify the predictors of depression in the study sample. All analyses were performed using STATA software version 16, and the significance level was maintained at a p-value < 0.05 and presented at a 95% confidence interval.

RESULTS

The study achieved a response rate of 97.7% from the estimated sample size of 428 respondents. The mean age was 69.9 (SD = 8.8), and the distribution was similar for both sexes (p = 0.25). The prevalence of depression in this study was 42.1% and dominated by females, older adults (> 80 years), and lower economic class respondents. The rate was 43.4% for both consumers of alcohol and smokers with a history of stroke (41.2%) and taking medication for chronic conditions (44.2%). The predictors of depression in our study were being single, low class [aOR = 1.97; 95% CI = 1.18-3.27] and having other chronic conditions [aOR = 1.86; 95% CI = 1.59-4.62], and the inability to manage ones' own affairs [aOR = 0.56; 95% CI = 0.32-0.97].

CONCLUSION

The study provides data that can inform policy decisions on the care of the elderly with depression in Ghana and other similar countries, confirming the need to provide support efforts towards high-risk groups such as single people, people with chronic health conditions, and lower-income people. Additionally, the evidence provided in this study could serve as baseline data for larger and longitudinal studies.

Global prevalence of depression in older adults: A systematic review and meta-analysis of epidemiological surveys

BACKGROUND

The reported prevalence of depressive symptoms (depression hereafter) among older adults varied widely across different studies. This was a meta-analysis to systematically examine the global prevalence of depression among older populations and its associated factors.

METHODS

A systematic literature search was performed in PubMed, EMBASE, PsycINFO, and Web of Science. Due to the differences in demographic and clinical characteristics between studies, random-effects model was used to calculate the pooled prevalence of depression and its 95% confidence interval (95% CI).

RESULTS

In total, 55 studies with 59,851 individuals met the study criteria and were included in the analyses. The overall prevalence of depression was 35.1% (95%CI: 30.2-40.4%). Subgroup analyses revealed that different sampling methods (Q=10592.49, p = 0.037), Geriatric Depression Scale versions (Q=13712.55, p < 0.001) and income levels (Q=14.028, P < 0.001) were significantly associated with the pooled prevalence of depression in older adults. In the meta-regression analyses, time of survey (B=0.012, z = 2.30, p = 0.029) was positively associated, and mean age (B=-0.018, z = 2.10, p = 0.044) was negatively associated with the prevalence of depression in older populations. The funnel plot and Egger's test did not reveal any significant publication bias (Egger's test: t = 1.93, p = 0.059).

CONCLUSION

This meta-analysis found that over a third of older populations globally had depression. Effective preventive measures, regular screening and timely interventions are needed to address this highly prevalent public health problem among older adults.

Long-term trends in the incidence of depressive disorders in China, the United States, India and globally: A comparative study from 1990 to 2019

Background

Depressive disorders have become an increasingly significant public health issue. This study is intended to show the trend of the incidence of depressive disorders in China, the United States, India and the world from 1990 to 2019, as well as the impact of age, period and cohort on it.

Methods

Extracting incidence data from the Global Burden of Disease Study 2019, we determined trends in the age-standardized incidence rate (ASIR) using Joinpoint regression. An age-period-cohort analysis was implemented to describe the effects of age, period, and cohort, as well as the long-term tendencies.

Results

From 1990 to 2019, the ASIR of depressive disorders in China was lower than that in the United States; India is lower than the United States in the first 5 years, showing a downward trend. The incidence in India and the United States is higher than the global average. The ASIR of women in the three countries is higher than that of men. In China, the elderly, early period and people born around 1954 have a higher risk of depressive disorders. In the United States, young people born around 1999 have a higher risk of depressive disorders. India is similar to China.

Conclusion

From 1990 to 2019, the age effect of China as a whole increased, and the period became stable, and the cohort effect declined. The overall age and period effects of the United States reduced, while the cohort effect increased. The age effect in India increased, while the period and cohort effects decreased. Depressive disorders are becoming ever more serious worldwide, and we'd better take measures to reduce its incidence according to the cohort effect of each age group.

Prevalence and correlates of major depressive disorder among a national sample of middle-aged and older adults in India

Objectives: This study aimed to assess the prevalence and correlates of major depressive disorder (MDD) among middle-age and older adults in India.Methods: The cross-sectional sample consisted of 72,262 persons (45 years and older) from the 2017 to 2018 Longitudinal Ageing Study in India (LASI) Wave 1. MDD is defined using DSM-5 criteria and measured with the CIDI-SF. Logistic regression was used to evaluate the associations with MDD.Results: The prevalence of past 12-month MDD was 7.6%, 8.1% among women and 7.0% among men, and 8.2% in persons 60 years and older. In the final adjusted model, food insecurity, having 3-6 discrimination experiences, ill-treatment, victim of violent crime, disaster exposure, unsafe home/neighbourhood, poor childhood health, hypertension, stroke, tobacco use, and physical pain were positively associated with MDD. Being male, married, high socioeconomic status, living in urban areas, high spirituality/religiosity, health insurance and medium social network were negatively associated with MDD.Conclusion: Almost one in ten middle-aged and older adults in India had MDD and several associated factors were identified.

Individual-level social capital is associated with depressive symptoms among middle-aged community dwellers in rural Vietnam: a cross-sectional study

OBJECTIVES

There has been comparatively little research on the association between social capital and depressive symptoms in low- and middle-income countries. To address this deficit this study examined the association among middle-aged adults in rural Vietnam.

DESIGN

A cross-sectional study.

SETTING

Data came from the baseline survey of the Khánh Hòa Cardiovascular Study, which is an ongoing prospective cohort study aiming to elucidate the determinants of cardiovascular diseases.

PARTICIPANTS

A total of 3000 people aged 40-60 years old residing in rural communes in Khánh Hòa province, Vietnam.

EXPOSURE OF INTEREST

Cognitive social capital (ie, low, middle and high) and structural social capital (in terms of social participation; yes or no) were assessed via a questionnaire.

PRIMARY OUTCOME MEASURE

Depressive symptoms were assessed with the 11-item Center for Epidemiologic Studies Depression Scale.

RESULTS

A robust Poisson regression model revealed that adults in the highest versus lowest cognitive social capital tertile had a 61% lower prevalence of depressive symptoms (prevalence ratio (PR)=0.39, 95% CI=0.31 to 0.49). Individuals with higher structural social capital were also significantly less likely to experience depressive symptoms (PR=0.74, 95% CI=0.61 to 0.90).

CONCLUSION

In a cohort of 3000 middle-aged rural residents in Vietnam, both cognitive and structural social capital assessed at the individual level were inversely associated with the prevalence of depressive symptoms.

Indigenous population and major depressive disorder in later life: a study based on the data from Longitudinal Ageing Study in India

BACKGROUND

Existing evidence suggests that the indigenous older population who live with their families and friends might experience lesser depressive symptoms due to better emotional support and well-being. The present study aimed to investigate the differentials in the prevalence of the major depressive disorder among tribal and non-tribal older populations in India and to explore the contribution of socio-demographic, health-related, and household factors in such disparities.

METHODS

A cross-sectional study was conducted using data from the Longitudinal Aging Study in India (2017-18). The analytical sample included 30,637 older adults, among whom 5,025 and 25,612 belonged to the Scheduled Tribe (ST) and non-Scheduled Tribe (non-ST) social groups, respectively. Major depressive disorder assessed by the Composite International Diagnostic Interview short-form (CIDI-SF) scale was the outcome variable. Descriptive statistics, bivariate and multivariable regression and, decomposition analyses were conducted.

RESULTS

About 4.8% and 8.9% of older adults from the ST and non-ST social groups had major depression. For both tribal and non-tribal groups, older adults who were unmarried, dissatisfied with living arrangements, and those who faced lifetime discrimination were at increased risk of major depression. Findings from differences due to characteristics (E) revealed that if the regional differences were minimized, it would decrease the ST-non-ST gap in major depression by about 19.6%. Similarly, equal self-rated health status and chronic conditions among ST and non-ST groups would decrease the gap in major depression by almost 9.6% and 7.9%, respectively. Additionally, an equal status of Instrumental Activities of Daily Living (IADL) and Activities of Daily Living (ADL) among older adults would decrease the gap in major depression by about 3.8% and 3% respectively. Also, findings from differences due to coefficients (C) revealed that if older adults from the ST group had the same status of ADL as of older adults from the non-ST group, it would decrease the gap in major depression by about 11.8%.

CONCLUSION

The findings revealed a greater prevalence of major depression in older adults belonging to the non-ST group than the ST group. For both tribal and non-tribal groups, older adults who were unmarried, dissatisfied with living arrangements, and those who faced lifetime discrimination were at increased risk of major depression and these factors along with health-related variables contributed to significant ST-non-ST gap in depression, advantageous to tribal population; suggesting further research on the coping mechanisms of mental illnesses among indigenous population in India.

Association of back pain with major depressive disorder among older adults in six low- and middle-income countries: A cross-sectional study

OBJECTIVES

Back pain is one of the leading causes of disability and decreased quality of life. In this study, we examined the association between back pain and major depressive disorder (MDD) in six low- and middle-income countries. We also examined the association of back pain duration and severity with MDD among middle-aged and older adults in these countries.

METHODS

Nationally representative data from the World Health Organization's Study on global AGEing and adult health (WHO-SAGE) consisting of 33,878 middle-aged and older adults aged 50 years or above were analysed. The linkages of back pain, pain duration and severity with MDD were examined using multivariable logistic regression analyses.

RESULTS

Across six countries, the prevalence of MDD was higher among middle-aged and older adults who reported back pain than those who did not report back pain (14.5 % vs 4.5 %). In the pooled data, middle-aged and older adults who suffered from back pain had higher odds of depression [adjusted odds ratio (aOR): 2.41, confidence interval (CI): 2.19-2.64] compared to those with no back pain. Particularly, the association was stronger in Ghana [aOR: 4.78] and South Africa [aOR: 2.42]. Further, the association was stronger for those who experienced back pain for >2 weeks as well as those who reported severe and extreme back pain than those with no back pain across all the countries.

CONCLUSION

In this study, the association of back pain and its duration and severity with MDD is consistent and significant among middle-aged and older adults in six countries. Government policies should consider the role of back pain in improving the mental health of middle-aged and older adults.

Factors Associated With High Rates of Depressive Symptomatology in Older People in Vietnam

OBJECTIVES

This study aimed to identify the prevalence and correlates of depressive symptomatology among Vietnamese older people.

METHOD

We used baseline survey data collected in 2018 from the Longitudinal Study of Ageing and Health in Vietnam (LSAHV) conducted across seven regions and comprising 6,050 people aged 60 years and over of whom 4962 completed the brief 11-item Center for Epidemiological Studies-Depression (CES-D) scale. Clinically significant depressive symptomatology was a CES-D score of 8.8 or higher. The association between demographic, physical, and mental factors with depressive symptomatology was examined using univariate and multivariable logistic regression.

RESULTS

The prevalence of depressive symptomatology was 31.3% (95% CI 29.8% - 32.9%). Depressive symptomatology was highest among people living in the Central Coast region (46.8%, 95% CI 44.5% - 49.2%). Factors associated with depressive symptomatology from the multivariable model included female sex (OR 1.3, 95% CI: 1.1-1.6), rural residence (OR 1.4, 95%CI: 1.1-1.7), not having a partner (OR 1.6, 95% CI: 1.3-1.9), low income (OR 1.8, 95% CI: 1.5-2.1), and health-limitations on activities (OR 1.3, 95% CI: 1.1-1.6). Poorer self-rated mental health (OR 2.1, 95% CI:1.8-2.5) or general health status (OR 1.5, 95% CI: 1.3-1.9) was associated with a higher prevalence of depressive symptomatology, as was poorer function with respect to different activities of daily living, and dissatisfaction with current life (OR 6.1, 95% CI: 4.4-8.4).

CONCLUSIONS

Depressive symptomatology was frequent among older Vietnamese. Efforts to improve mental health in older persons in Vietnam, including prevention, early intervention and better medical care, appear warranted.

Cross-sectional associations of personal efforts and beliefs and depressive symptoms among older adults in India

Whilst there is growing evidence on the increased vulnerability of older adults to depression, there is limited research on potentially mitigative factors against symptoms of depression at a population level. This research examined associations of possible protective factors (personal efforts and beliefs) and depressive symptoms among older adults in India. This cross-sectional study used data from the Longitudinal Aging Study in India with 31,464 respondents aged 60 years and above. Depressive symptoms were assessed using the 10-item Centre for Epidemiologic Studies Depression Scale. Multivariable linear regression was used while exploring the associated factors of depressive symptoms. The mean score of depressive symptoms was 2.94 (CI 2.92, 2.96). Older adults who engaged in moderate [aCoef: −0.11, CI −0.18, −0.05], vigorous [aCoef: −0.09, CI −0.16, −0.03], or both types of physical activity [aCoef: −0.10, CI −0.19, −0.02] had lower likelihood of depressive symptoms in comparison to those who were physically inactive. Older adults who participated in social activities were less likely to have depressive symptoms [aCoef: −0.44, CI −0.50, −0.39] compared to their socially inactive counterparts. Further, older adults who perceived religion as very important [aCoef: −0.29, CI −0.41, −0.17], who had high life satisfaction [aCoef: −0.78, CI −0.82, −0.73], who had good self-perceived health [aCoef: −0.29, CI −0.33, −0.25] and those who had high self-perceived social standing [aCoef: −0.39, CI −0.47, −0.31] had lower likelihood of depressive symptoms in comparison to their respective counterparts. Physical activity, social participation, voluntary work and financial contribution to family, religiosity, life satisfaction, self-perceived health and self-perceived social standing are associated with lower likelihood of depressive symptoms among community-dwelling older adults in this study. Future longitudinal studies should explore these factors that can guide interventions against depression in old age.

The role of religiosity and religious participation in the relationship between depressive symptoms and cognitive impairment among older Indian adults

Due to different nature of social engagements of older adults in South Asian countries specially attributed to the traditional family-based care and support, beneficial effects of religiosity and religious involvement on mental health and cognitive function in older age might be different than those in the Western world. Yet, there is a paucity of research in these countries on the role of religion in moderating the relationship between late life depression and cognition. This study explored the association of depressive symptoms with cognitive impairment and the moderating effects of religiosity and religious participation in those associations among older Indian adults. A cross-sectional study was conducted on data that were drawn from the Longitudinal Ageing Study in India wave-1, collected during 2017-2018. The sample size comprised of 31,464 older adults aged 60 years and above. Shortened 10-item Centre for Epidemiologic Studies Depression Scale was used to measure depressive symptoms. Items from the Mini-Mental State Examination and the cognitive module of the China Health and Retirement Longitudinal Study and the Mexican Health and Aging Study were adapted for measuring cognitive impairment. Moderated multiple linear regression models were used to test the research hypotheses of the study. The proportion of older adults who reported religion as less important to them was 21.24%, whereas, only 19.31% of the respondents participated in religious activities. The mean score of cognitive impairment (on a scale of 0-43) in the current sample was 19.43 [confidence interval (CI): 19.32-19.53] among men and 23.55 [CI: 23.44-23.66] among women. Older adults with depressive symptoms had significantly higher likelihood of cognitive impairment [aCoef: 0.18, CI: 0.16-0.20] in comparison to older adults with no depressive symptoms. Older individuals who were religious were significantly less likely to have cognitive impairment [aCoef: - 0.43, CI: - 0.61 to - 0.25] than their non-religious counterparts. Compared to older adults who did not participate in religious activities, those who participated in religious activities were less likely [aCoef: - 0.52, CI: - 0.69 to - 0.34] to have cognitive impairment. Further, significant moderating effects of religiosity and religious participation in the relationship between depressive symptoms and cognitive impairment were observed. The current study contributes to advancing knowledge about the mental health benefits of religiosity and religious participation by focusing on older adults in India who culturally have limited chances to participate in social activities. The findings suggest that older adults with depressive symptoms may participate in religious activities which may reduce their chances of cognitive impairment. This protective effect of religiosity and religious participation on late life cognitive health has important implications for promoting alternative social support mechanisms for older adults in terms of enhancing their mental wellbeing and contributing to active aging.

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.

An analytical pathway of consumption expenditure with neighborhood deprivation and depression on cognitive health among elderly in India: A moderated mediation approach

BACKGROUND

This study aims to find the linkage between neighborhood deprivation and cognition with depression as a mediating factor while economic condition as a moderator.

METHODS

We have used the recent baseline wave-1 data of Longitudinal Aging Study in India (LASI), 2017-2018. The study was restricted to 60 and above population, consisting of males (14,931) and females (16,533). We have used moderated mediating model to understand the relationship between deprivation (X), cognition (Y) mediated through depression (M), moderated by economic condition (W), while controlling all possible confounders.

RESULTS

Neighborhood deprivation was positively associated with depression (β: 0.12; SE: 0.01) and inversely linked to cognition (β: -0.4; SE: 0.02). Deprivation had a strong indirect effect on cognition that was mediated by depression. Further, interaction of depression (M) and economic condition (W) was negatively associated (β = -0.03; SE: 0.01) with cognition (Y), indicating that lower economic section being more depressed with lower cognitive function.

LIMITATIONS

The study failed to capture other mental health aspects like stress and anxiety using the Depression, Anxiety and Stress Scale-21 items (DASS-21).

CONCLUSIONS

This study has found a link between higher economic condition with low deprivation and depression. Older individuals with better financial situation have improved cognitive level than their counterparts, who are also depressed. This study provides an opportunity to conduct future research on cognitive health in the face of population aging in India.

Associations between water, sanitation, and depression among older people in Ghana: empirical evidence from WHO-SAGE Wave 2 survey

BACKGROUND

While depression is the most frequent psychiatric disorder among the older adults, the use of water and sanitation has been associated with both physical and psychological adverse outcomes. We investigated the associations of water and sanitation with depressive symptoms among older adults in Ghana.

METHODS

The study used data from 4,735 participants in the World Health Organization (WHO) Study on global AGEing and adult health (SAGE) Wave 2 of adults aged ≥50 years. Major depressive episode (MDE) was assessed using the World Mental Health Survey version of the Composite International Diagnostic Interview and we classified water and sanitation sources based on the Joint Monitoring Program. Multivariate logistic regressions evaluated the associations.

RESULTS

Approximately 7.3% of respondents reported a MDE, 90% and 78% used improved water sources and sanitation facilities respectively, and 77% shared sanitation facilities. Individuals who used unimproved water sources and unimproved sanitation were 1.6 and 1.3 times more likely to report MDE respectively. Also, sex-based analysis showed that the effect of the use of unimproved water and sanitation on depression was much appreciable and more substantial among women compared to men.

CONCLUSIONS

The findings suggest the importance of water and sanitation to the well-being of older people, particularly among women. Policies targeted at improving the mental health in old age should include water and sanitation.

Socioeconomic and health-related inequalities in major depressive symptoms among older adults: a Wagstaff's decomposition analysis of data from the LASI baseline survey, 2017-2018

OBJECTIVES

To find out the association between socioeconomic and health status and depression among older adults and explore the contributing factors in the socioeconomic and health-related inequalities in late-life depression.

DESIGN

A cross-sectional study was conducted using large representative survey data.

SETTING AND PARTICIPANTS

Data for this study were derived from the baseline wave of the Longitudinal Ageing Study in India conducted during 2017-2018. The effective sample size was 30 888 older adults aged 60 years and above.

PRIMARY AND SECONDARY OUTCOME MEASURES

The outcome variable in this study was depression among older adults. Descriptive statistics along with bivariate analysis was conducted to report the preliminary results. Multivariable binary logistic regression analysis and Wagstaff's decomposition were used to fulfil the objectives of the study.

RESULTS

There was a significant difference for the prevalence of depression (4.3%; p<0.05) among older adults from poor (11.2%) and non-poor categories (6.8%). The value of the Concentration Index was -0.179 which also confirms that the major depression was more concentrated among poor older adults. About 38.4% of the socioeconomic and health-related inequality was explained by the wealth quintile for major depression among older adults. Moreover, about 26.6% of the inequality in major depression was explained by psychological distress. Self-rated health (SRH), difficulty in activities of daily living (ADL) and instrumental ADL (IADL) contributed 8.7%, 3.3% and 4.8% to the inequality, respectively. Additionally, region explained about 23.1% of inequality followed by life satisfaction (11.2) and working status (9.8%) for major depression among older adults.

CONCLUSIONS

Findings revealed large socioeconomic and health-related inequalities in depression in older adults which were especially pronounced by poor household economy, widowhood, poor SRH, ADL and IADL difficulty, and psychological distress. In designing prevention programmes, detection and management of older adults with depression should be a high priority, especially for those who are more vulnerable.

Risk factors and clustering of mortality among older adults in the India Human Development Survey

With wide socioeconomic mortality differential among older adults in India, a constant question of death clustering across high-risk families and communities arises. The present study uses a follow-up survey from India to investigate the socioeconomic, demographic and health predictors of old-age mortality clustering. Data of 16,964 older adults nested within 12,981 households from 2352 communities were used from India Human Development Survey (IHDS) round-I (2005) who were further tracked down in round-II (2012). Bivariate association between the determinants of old-age mortality was investigated using the log-rank test. The multivariate analysis involved estimating the random-intercept Weibull proportional hazard model with three levels-individual (level 1), family (level 2) and community (level 3). We analyzed the sensitivity of multivariate results to unobservable variable and selection biases using the e-value method. The empirical analysis confirms that the risk of mortality is significantly heterogeneous between the families. The health status of older adults and the family's socioeconomic status in the early years emerged as prominent predictors of a longer lifespan. With a strong association between household income and mortality hazard risk, the present study urges early life interventions as those started in late-life might have negligible impact on keeping the older adults alive and healthy.

Predictive Validity of Motor Fitness and Flexibility Tests in Adults and Older Adults: A Systematic Review

Motor fitness and flexibility have been linked to several health issues. We aimed to investigate the predictive validity of motor fitness and flexibility tests in relation to health outcomes in adults and older adults. Web of Science and PubMed databases were screened for studies published from inception to November 2020. Two authors systematically searched, evaluated, and extracted data from identified original studies and systematic reviews/meta-analysis. Three levels of evidence were constructed: strong, moderate, and limited/inconclusive evidence. In total, 1182 studies were identified, and 70 studies and 6 systematic reviews/meta-analysis were summarized. Strong evidence indicated that (i) slower gait speed predicts falls and institutionalization/hospitalization in adults over 60 years old, cognitive decline/impairment over 55 years old, mobility disability over 50 years old, disability in instrumental activities of daily living (IADL) over 54 years old, cardiovascular disease risk over 45 years old, and all-cause mortality over 35 years old; (ii) impaired balance predicts falls and disability in IADL/mobility disability in adults over 40 years old and all-cause mortality over 53 years old; (iii) worse timed up&go test (TUG) predicts falls and fear of falling over 40 years old. Evidence supports that slower gait speed, impaired balance, and worse TUG performance are significantly associated with an increased risk of adverse health outcomes in adults.

Low and mismatched socioeconomic status between newlyweds increased their risk of depressive symptoms: A multi-center study

BACKGROUND

While there is evidence that low socioeconomic status (SES) increases susceptibility to depression, few studies have focused on the effect of marital SES matching on depression. This study aimed to explore the impact of SES indicator matching on depressive symptoms in newlyweds and clarify the interaction of depressive symptoms between couples.

METHODS

We assessed the depressive symptoms of newlyweds (N = 28, 179 couples) using a 9-item Patient Health Questionnaire. Logistic regression models and restricted cubic splines were used to explore the association between SES indicator matching and depressive symptoms and the interaction of depressive symptoms in newlyweds, respectively.

RESULTS

Compared with newlyweds with both high-level SES, the newlyweds with both low-level SES, male higher SES, or female higher SES had an increased risk of depressive symptoms in husbands (OR = 1.31; 1.22; 1.30), wives (OR = 1.30; 1.36; 1.32), and couples (OR = 1.48; 1.56; 1.57) (all P < 0.05). In addition, as the level of depression in one partner increases, the risk of depression in the other partner also increases.

CONCLUSION

Mismatched SES and low-level SES between couples have adverse effects on depressive symptoms in newlyweds, with depressive symptoms having a positive association between newlyweds.

Income inequalities, social support and depressive symptoms among older adults in Europe: a multilevel cross-sectional study

This study analysed the association between income inequality and depression from a multilevel perspective among older adults in Europe, including an examination of the role of social support. The data came from Eurostat’s European Health Interview Survey (EHIS). Selected participants were aged 65 years or above (n = 68,417) and located in 24 European countries. The outcome variable (depression) was measured using the eight-item Patient Health Questionnaire (PHQ-8). The resulting dataset included individual-level (level-1) and aggregate-level (level 2) exposure variables. Level-1 included income quintiles and social support as exposure variables and sex, age, living alone, limitation in activities of daily living and general activity limitation as control variables. Level 2 included the Gini coefficient, healthcare expenditure and dependency ratio. A multilevel linear regression analysis was performed with maximum likelihood (ML) estimation. All the income quintiles from 1 to 4 showed higher average scores for depression than quintile 5 (the highest). Higher social support scores were associated with lower scores for depression. An interaction was found between income quintile and social support, with higher levels of social support associated with lower scores for depression in quintiles 1 and 2. Higher Gini coefficient scores were associated with higher scores for depression. A significative random slope for social support was also found, meaning that the relationship between social support and depression differed across countries. No significant interaction was found between the Gini coefficient and social support. The study findings suggest that more unequal societies provide a less favourable context for the mental health of older adults. There are also significant country-dependent differences in terms of the relationship between support and mental health among older adults.

Factors associated with psychiatric disorders and treatment seeking behaviour among older adults in India

Since untreated or undertreated late-life mental disorders is associated with grave consequences including poor quality of life and increased mortality rates, this study investigates the associated factors of psychiatric disorders and its treatment seeking among older adults in India. Data for this study were derived from the Longitudinal Ageing Study in India (LASI) conducted during 2017–2018. The effective sample size was 31,464 older adults aged 60 years and above. Descriptive statistics and bivariate analysis were used to present the preliminary results. Chi-square test was used to find the significance level for bivariate association. Additionally, the Heckprobit selection model was employed to fulfil the objectives. It was revealed that about 2.8% of older adults had psychiatric disorder and of those who were suffering from psychiatric disorder, 41.3% (out of 2.8%) sought medical treatment. It was found that older adults who ever worked but currently not working, who had low level of life satisfaction, had poor self-rated health, had difficulty in activities of daily living (ADL) and instrumental ADL and had symptoms of psychological distress had higher probability of suffering from psychiatric disorder in reference to their counterparts. Older adults from oldest-old age group, who were females, from poorest wealth quintile, from Scheduled Tribe and from eastern region had lower probability of seeking treatment for psychiatric disorder in reference to their counterparts. The findings of the present study urge that greater attention be devoted at detecting and preventing late-life psychiatric disorder particularly among those who are at greater risk vis., male gender, working status as “ever worked but currently not working”, having low life satisfaction, poor SRH, ADL and IADL difficulties, higher psychological distress, belonging to higher wealth quintile and rural place of residence.

A multidimensional model of healthy ageing: proposal and evaluation of determinants based on a population survey in Ecuador

BACKGROUND

Healthy ageing is a complex construct which involves multiple dimensions. Previous studies of healthy ageing have focused only on measuring the intrinsic capacity of the older person. The objectives of this study were to design a multidimensional model of healthy ageing and to identify its determinants from national data in Ecuador.

METHODS

A cross-sectional analytical study was carried out from the National Survey of Health and Well-being of the Older Adult, 2010. Sample was 1797 adults aged 65 years or more. A multidimensional model was designed based on the World Health Organization's concept of healthy ageing. For the analysis, two groups were created: a healthy ageing and a less healthy ageing group. Bivariate and multivariate logistic regressions were performed to analyze the probability of belonging to the healthy group according to sex, age, area of ​​residence, level of education, perceived health status, perceived life satisfaction, and poverty by income level.

RESULTS

The 53.15% of the sample was classified in the healthy ageing group. Women and the poorest older adults were less likely to be in the healthy ageing group (OR 0.58; 95% CI 0.464-0.737; OR 0.44; 95% CI 0.343-0.564). Older adults with secondary education or higher, who considered their health as excellent and who were satisfied with their life, had a greater probability of being in healthy ageing group (OR 2.61; 95% CI 1.586-4.309; OR 28.49; 95% CI 3.623-224.02; OR 0.23; 95% CI 0.165-0.341).

CONCLUSIONS

This study contributes with a multidimensional approach to healthy ageing. It proposes to evaluate the intrinsic capacity of the individual, the social and political environment and the interaction with it, through indicators that discriminate who are ageing in a healthy way and who are not. By using this model, it was identified that gender and economic situation seem to play an important role on heathy ageing of the Ecuadorian population. Public policies are necessary to promote healthy ageing, especially focused on improving socioeconomic conditions and gender equity.

Measuring catastrophe in paying for healthcare: A comparative methodological approach by using National Sample Survey, India

Healthcare expenditure significantly varies among various segments of the population. The appropriate measures of catastrophic health expenditure (CHE) will help to unravel the real burden of spending among households. Present study provides a link between the theoretical insights from Grossman's model and various methodological approaches for the estimation of CHE by using data from the three rounds of nationally representative Consumer Expenditure Surveys, India. Statistical analysis has been carried out by using multivariate logistic regression to identify the major determinants of CHE. Findings indicate that the occurrence of CHE has increased during 1993-2012. Rural residents and households with varying age composition such as with higher numbers of children and elderly were at higher risk. Economic status is significantly associated with CHE and increased demand for healthcare. The measurements differ as per the methodological approaches of CHE and definition of household's capacity to pay. Approach-based variations in the results can be of key importance in determining trends and magnitude in CHE. Despite these variations in measurements, study finds a limited incidence of CHE among the disadvantaged segment of the population though a greater share was devoted to health expenditure in recent years. Better risk pooling mechanism is required to address the healthcare needs of the disadvantaged segment such as elderly, children, poor and rural population in India.

Association between socioeconomic welfare and depression among older adults: Evidence from the China health and Retirement Longitudinal Study

This study aims to examine the association between province-level socioeconomic welfare factors and depression symptoms among older adults in China. Province-level socioeconomic characteristics were merged with microdata for respondents over 65 years from the 2018 China Health and Retirement Longitudinal Study (CHARLS) Wave 4 (N = 6657). Principal component analysis (PCA) was used to extract three socioeconomic welfare factors constructed from 14 province-level variables. A Bayesian mixed-effects logistic model was applied to measure the association between the three socioeconomic welfare factors and depression symptoms while controlling for socio-demographic variables. The PCA showed that economic welfare, medical resource welfare, and social service welfare together explained 72.2 percent of the total variance of the 14 province-level variables. It was found that increasing economic welfare was significantly associated with a lower probability of depression symptoms (OR = 0.806, 95%CI: [0.674, 0.967]), while medical facilities were associated with a higher probability of depression symptoms (OR = 1.181, 95%CI: [1.029, 1.354]) among Chinese older adults. Uncertainty existed as to whether having access to social welfare (OR = 0.941, 95%CI: [0.835, 1.060]) was associated with prevalence of depression. Thus, improved socioeconomic welfare systems for older adults (which possibly require an increase in spending) are necessary to contribute further to reduced depression risk in China. Policymakers should also improve the utilization of medical resources to mitigate the incidence of depression among the elderly in China.

Predictors of Mental Health Status among Older United States Adults with Pain

Poor mental health is common among older adults with pain, resulting in high economic burden and impaired quality of life. This retrospective, cross-sectional database study aimed to identify characteristics associated with good mental health status among United States (US) adults aged ≥50 years with self-reported pain in the last four weeks using a weighted sample of 2017 Medical Expenditure Panel Survey data. Hierarchical multivariable logistic regression models were used to identify statistically significant predictors of good (versus poor) perceived mental health status. From a weighted population of 57,074,842 individuals, 85.5% (95% confidence interval (CI) = 84.4%, 86.7%) had good perceived mental health. Good mental health was associated most strongly with physical health status (adjusted odds ratio (AOR) = 9.216, 95% CI = 7.044, 12.058). Employed individuals were 1.7 times more likely to report good mental health versus unemployed (AOR = 1.715, 95% CI = 1.199, 2.452). Individuals who had completed less than high school education (AOR = 0.750, 95% CI = 0.569, 0.987) or who reported having a limitation (AOR = 0.513, 95% CI = 0.384, 0.684) were less likely to report good mental health. These key characteristics can be utilized to predict mental health status, which may be investigated to better manage concurrent pain and poor mental health.

Prevalence of Common mental disorders in older adults: Results from the National Mental Health Survey of India

OBJECTIVE

We estimate the prevalence of common mental disorders (CMD) among older adults and compare them with that of younger adults at the national level.

METHOD

We analysed data on older adults from the National Mental Health Survey of India undertaken across 6 regions and 12 states of India during 2015-16. Multi-stage cluster sampling technique was adopted which permitted state level and subsequently pooled national estimates. Mini International NeuroPsychiatric Interview (MINI) adult version 6.0 was used for measuring psychiatric morbidity.

RESULTS

Older adults had a higher lifetime (6.93%) and current (3.53%) prevalence of depressive disorders as compared to the younger adults (4.96% and 2.54%). There was no difference in the prevalence of anxiety disorders in different agegroups. The most prevalent anxiety disorder in older adults was specific phobias (1.72%) followed by agoraphobia (1.6%). All CMD in the older population were more common in females, those living in urban metros, the unemployed, who were not currently married and those with lower household income.

DISCUSSION

These findings support planning better mental health policies and programs for older adults in India.

Unrecognized geriatric depression in the emergency Department of a Teaching Hospital in Nepal: prevalence, contributing factors, and metric properties of 5 item geriatric depression scale in this population

BACKGROUND

Depression is prevalent but poorly recognized in the Emergency Department (ED). We aimed to identify the frequency of unrecognized geriatric depression and its possible determinants in the ED using the 15-item geriatric depression scale (GDS). We also aimed to explore the performance of the shorter, five-item GDS as compared to the 15-item GDS.

METHODS

This was a cross-sectional study of the ED patients ≥ 60 years. The previously validated Nepali version of GDS-15 screened the sample into "no", "mild-moderate" and "severe" depression using cutoff values of 4/5, and 8/9 respectively. Demographic and socioeconomic factors, comorbidities and health seeking behaviors were studied and the relation was assessed with binary (Chi-square and Kruskal-Wallis test) and multinomial regression analysis. The performance of GDS-5 was compared with the GDS-15 as standard. Cronbach's alpha was calculated to investigate reliability. Validity was assessed by calculating sensitivity, specificity, positive predictive value, negative predictive value, Spearman's correlation, receiver operating characteristic curve, and kappa coefficient.

RESULTS

Two hundred eighty patients were enrolled with an overall prevalence of unrecognized depression of 45.7% [104 (81.3%) mild-moderate depression, and 24 (18.8%) severe depression]. The mean age of the sample was 71.36 with female predominance (61%), and 82.5% were illiterate. In the binary analysis, those who had more pain, visited the ED more often, had musculoskeletal diseases and sleep problems, mobility problems, visited local healers previously, and who reported self-perceived "heart and mind" disease showed statistically significant differences among the three categories. In multinomial regression analysis, visits to local healers, sleep problems and frequency of pain were significantly related to depression. The sensitivity, specificity, area under curve and Spearman's correlation of GDS-5 were 75.8%, 96%, 0.919, and 0.827 respectively. Cronbach's alpha for GDS-5 was low (0.416), therefore a new version was proposed which improved the sensitivity to 90.6% and Cronbach's alpha to 0.623.

CONCLUSIONS

Unrecognized geriatric depression was highly prevalent which urges the need for ED-based interventions for screening and referral. The proposed brief GDS-5 correlated well with the GDS-15 with better validity and internal reliability and offers a more expeditious form of screening for geriatric depression in emergency settings in Nepal.

Sociodemographic inequalities in depression among older adults: cross-sectional evidence from 18 countries

BACKGROUND

Sociodemographic inequalities in depression are well established. However, less is known about variation in inequalities across countries. In this study, we describe cross-national variation in sociodemographic inequalities in depression among older adults. Comparing inequalities across countries is an important step towards understanding how the social environment shapes depression risk.

METHODS

In this cross-sectional study, we harmonised data from eight large ageing cohort studies from 18 countries. We restricted our study to adults aged 55 years and older, and measured depression using established cut points in shortened Center for Epidemiologic Studies Depression or EURO-D scales. Next, we estimated prevalence ratios for each country by age, marital status, educational attainment, and gender with logistic regression. To compare estimates across countries, we standardised estimates to the mean sociodemographic distribution across our sample.

FINDINGS

Between Jan 1, 2007, and May 31, 2015, 93 590 older adults completed questions related to depressive symptoms. Sociodemographic inequalities in depression varied substantially across countries. Variation was most apparent for age: prevalence ratios (adults aged 75 years or older vs adults aged 55-65 years) ranged from 2·66 (95% CI 2·13-3·20) in Israel to 0·78 (95% CI 0·72-0·84) in the USA. Heterogeneity by other factors was also apparent. Gender prevalence ratios (women vs men) ranged from 1·07 (95% CI 1·01-1·14) in Korea to 1·96 (95% CI 1·55-2·36) in Greece. Educational prevalence ratios (less than secondary education vs some post-secondary education) ranged from 1·01 (95% CI 0·88-1·14) in Japan to 2·34 (95% CI 2·14-2·55) in the USA. Marital status prevalence ratios (divorced or separated vs married) ranged from 1·11 (95% CI 1·01-1·21) in Chile to 2·01 (95% CI 1·73-2·29) in England.

INTERPRETATION

Inequalities in depression among older adults vary substantially across countries, which might be due to country-specific aspects of the social environment. Future research should investigate social inequality determinants of mental health that might inform the design and evaluation of social, economic, and mental health-related policies and interventions to reduce depression.

FUNDING

US National Institute of Mental Health and Chilean National Commission for Scientific and Technological Research.

Exergames and Depressive Symptoms in Older Adults: A Systematic Review

To synthesize and critique studies that examined the impact of exergames on depressive symptoms in older adults. Articles were retrieved from the databases CINAHL, Embase, PsychINFO, and Medline. Studies were included in the review if they involved a physical activity/videogame intervention and measured outcomes of depressive symptoms in older adults. The search generated 957 articles for consideration, which were narrowed to 17 articles after applying exclusion criteria. In studies that required depressive symptoms as an inclusion criterion, there was an improvement in depressive symptoms in older adults following the exergame intervention. In studies that did not require depressive symptoms as an inclusion criterion, researchers found mixed results. Future older adult exergame research should measure depression as a primary outcome, utilize control groups with random sampling, consist of larger sample sizes, and include people with disabilities.

Effect of cognitive and structural social capital on depression among older adults in Ghana: A multilevel cross-sectional analysis

Evidence from existing studies suggests social capital has mixed effects on depression and other common mental disorders. There is little knowledge of the possible association between social capital and depression among the growing older population in sub-Saharan Africa. This study investigates the effect of cognitive social capital (trust and sense of safety) and structural social capital (social participation or engagement in social activities) on depression among older adults in Ghana. Utilizing multilevel mixed-effect analysis, we investigate the effect of individual-level and neighborhood-level social capital (cognitive and structural) on depression using data from the World Health Organization Study on Global Ageing and Adult Health (WHO-SAGE) survey (Wave 1). The findings show that at an individual level, older adults who felt safe at home were less likely to have depression. We observed mixed results for elements of structural social capital at the individual level. Older adults who frequently engaged in club or group meetings, worked with neighbors and engaged in social outings were more likely to have depression; while attending public meetings and socializing with co-workers were associated with reduced likelihood of having depression. At the neighborhood level, increased trust in neighbors was associated with an increased likelihood of having depression (OR = 1.01, p < 0.05) while higher levels of neighborhood safety and structural social capital were associated with a reduced likelihood of having depression. The findings suggest that the differential associations between elements of social capital and depression may be the result of contextual factors.

Risk Factors for Depression in Empty Nesters: A Cross-Sectional Study in a Coastal City of Zhejiang Province and China

The elderly are susceptible to depression, especially empty nesters. This study investigated the risk factors associated with depression in empty nesters. The participants were selected via multi-stage random cluster sampling. Depression symptoms were assessed using the Geriatric Depression Scale. The questionnaire surveyed demographic characteristics, underlying diseases, behaviors and lifestyles, negative life experiences, social support, self-care ability, etc. Chronic health conditions, such as being overweight/obese, smoking cessation, cancer, and chronic pain, as well as negative life experiences, such as the death of a loved one and financial loss, increased the risk of depression in empty nesters. In addition, the incapability of performing self-care also increased the risk of depression in empty nesters. The prevalence of depression in empty nesters was high. Being overweight/obese, cancer, chronic pain, smoking cessation, the death of a loved one, financial loss, and the incapability to deliver self-care were risk factors for depression in empty nesters. It is recommended that comprehensive measures be taken to enhance health interventions for this population, including encouraging a proper diet and physical activity for weight control, providing psychological counseling after negative life experiences, and teaching correct methods of smoking cessation.

Prevalence of depression among the elderly (60 years and above) population in India, 1997-2016: a systematic review and meta-analysis

BACKGROUND

There is lack of information on the magnitude of depression among elderly population in India. This systematic review and meta-analysis aimed to estimate the prevalence of depression among elderly population in India.

METHODS

PubMed, Scopus, Web of Science, Embase, PsycINFO, IndMed, and Google Scholar were searched to identify articles reported community-based prevalence of depression among elderly population using screening tools. This study included the articles published during the years 1997 to 2016. Studies conducted in the special population groups, hospitals, reported only a subcategory of depression, and not specified the screening tool were excluded. Data were extracted from published reports and any missing information was requested from authors. Estimates were pooled using random-effects meta-analyses. Subgroup and sensitivity analysis were performed. The publication bias was evaluated by using Egger's test and visual inspection of the symmetry in funnel plots.

RESULTS

Fifty-one studies from 16 States of India were included as 56 datasets, which estimated the prevalence of depression among Indian elderly population as 34.4% (95% CI: 29.3-39.7). In sub-group analysis, the pooled prevalence was higher among females, rural populations, and in the eastern part of the country. Studies using non-probability sampling, and GDS and CES-D screening tool showed higher prevalence. Exclusion of the studies with sample size less than 100 and low-quality studies (score < 5/8) had no effect on the estimate of the prevalence. The studies that excluded dementia before assessment of depression had lower prevalence.

CONCLUSION

About one third elderly population of India suffered from depression with female preponderance. The estimates varied with type of study tool, geographic region, sampling methods, and presence of dementia. The pooled estimate should be interpreted with caution as the studies included in this review had varied methodological approach and screening tools.

Urbanicity of residence and depression among adults 50 years and older in Ghana and South Africa: an analysis of the WHO Study on Global AGEing and Adult Health (SAGE)

OBJECTIVES

As the primary cause of disability worldwide, depression is a significant contributor to global morbidity and mortality and often disproportionately affects older adults. Several studies have demonstrated a link between urban residence and depression, but few studies have examined this association among older adult populations, and even fewer have studied it within an African context. Given that African societies are aging and urbanizing at rapid rates, this study aimed to assess the relationship between urbanicity and depression within older adult populations in two African countries.

METHOD

Data were drawn from the Ghana and South Africa samples of the World Health Organization Study on Global AGEing and Adult Health (SAGE) wave 1 (2007-2008). Depression over the past 12 months was measured using self-reported treatment and depressive symptoms based on ICD-10 criteria in 4209 Ghanaian and 3148 South African adults aged 50 years and older residing in their current location for over one year.

RESULTS

The 12-month prevalence of depression was 7.5% and 4.0% in Ghana and South Africa, respectively; 41.1% and 65.6%, respectively, lived in urban areas. Comparing urban to rural residents, the adjusted odds ratio (OR) for depression in multivariable analysis was 1.13 (95% CI: 0.71-1.79) in South Africa and 0.85 (95% CI: 0.55-1.31) in Ghana.

CONCLUSION

Results do not support a significant urban-rural difference in 12-month depression among Ghanaian or South African SAGE participants. Mental health resources in rural areas should therefore be enhanced in these countries for more equitable distributions between the two settings given similar need.