Income inequality, socioeconomic deprivation and depressive symptoms among older adults in Mexico

Demographic, socioeconomic and health determinants of depressive symptoms in adults 50 years and older from Mexico: a secondary data longitudinal analysis from the Mexican Health and Aging Study

BACKGROUND

Depression in ageing adults is a public health problem. Worldwide studies have identified social and health risk factors for depressive symptoms. However, little is known about their longitudinal determinants in Mexico.

OBJECTIVES AND SETTING

To find the prevalence of depressive symptoms and their longitudinal individual and contextual risk factors in Mexican adults aged 50 and older.

DESIGN

Secondary data of 6460 persons aged 50 years and older from the Mexican Health and Aging Study were analysed using a 'between-within' panel data analysis approach.

RESULTS

The prevalence of depressive symptoms increased from 35% in 2003 to 38% in 2015. The significantly longitudinal factors associated with these symptoms were getting older (OR 1.02, 95% CI 1.01 to 1.03), being a woman (OR 2.39, 95% CI 2.16 to 2.64), less time spent in formal education (0 years and less than 6 years OR 1.52, 95% CI 1.32 to 1.75 and OR 1.33, 95% CI 1.19 to 1.50, respectively), lower net worth (OR 1.13, 95% CI 1.08 to 1.17), being recently unemployed (OR 1.25, 95% CI 1.10 to 1.25), increased (OR 1.17, 95% CI 1.10 to 1.25) or increasing number (OR 1.23, 95% CI 1.15 to 1.31) of chronic conditions, poor (OR 4.68, 95% CI 4.26 to 5.15) or worsened (OR 1.71, 95% CI 1.61 to 1.81) self-rated health and having impairments on instrumental activities of daily living (IADLs) (OR 2.94 95% CI 2.35 to 3.67) or a new IADL impairment (OR 1.67, 95% CI 1.48 to 1.89), as well as having impairments on ADLs (OR 1.51, 95% CI 1.23 to 1.86) or a new ADL impairment (OR 1.34, 95% CI 1.21 to 1.48).

CONCLUSIONS

The prevalence of depressive symptoms in Mexican adults aged 50 and older is high. Our findings show that they are longitudinally associated with the individual's demographic, socioeconomic, health and disability characteristics. Efforts in public policy should focus on preventing chronic conditions and disability, as well as fighting inequalities to reduce the prevalence of depressive symptoms.

The effects of neighborhood socioeconomic status on ADL/IADL among Chinese older adults-neighborhood environments as mediators

Background

There have been few consistencies in the effects and pathways of neighborhood socioeconomic status (SES) on functional limitations. This study aimed to investigate whether neighborhood socioeconomic status influences ADL/IADL in older residents in China through the neighborhood built environment and social environment.

Methods

Activities of daily living/IADL were assessed in a sample of 5,887 Chinese individuals aged 60 or older, utilizing data obtained from the 2011 China Health and Retirement Longitudinal Study (CHARLS 2011). Neighborhood SES was measured by the neighborhood per-capita net income. Neighborhood built environment was measured by the security resources, motion resources, living resources, service resources for older adults, and medical resources of neighborhood. Neighborhood social environment was measured by the organizations, unemployment subsidies, minimum living allowance, subsidies to persons older than 65, and pensions to persons older than 80 of the neighborhood. The two-level logistical regression model and multilevel structural equation model (MSEM) were used.

Results

The rate of ADL/IADL loss among Chinese older adults aged 60 and above in 2011 were 32.17 and 36.87%, respectively. Neighborhood SES was significantly associated with ADL/IADL in older adults. Compared with the respondents living in communities with lower SES, those living in communities with higher SES possessed better ADL (β = -0.33, p < 0.05) and IADL (β = -0.36, p < 0.05) status. The path of neighborhood socioeconomic status on ADL was completely mediated by the neighborhood built environment (β = -0.110, p < 0.05) and neighborhood social environment (β = -0.091, p < 0.05). Additionally, the effect of neighborhood socioeconomic status on IADL was fully mediated by the neighborhood built environment (β = -0.082, p < 0.05) and neighborhood social environment (β = -0.077, p < 0.05).

Conclusion

Neighborhood SES was significantly correlated with ADL/IADL through the neighborhood environment. Improving the ADL/IADL status of older adults residing in low socioeconomic neighborhoods requires enhancing the built and social environment by provisioning additional neighborhood resources.

Income inequality and depressive symptoms among Chinese adults: a quasi-experimental study

OBJECTIVE

There is a lack of causal evidence on the impact of income inequality on depressive symptoms. The impact of China's Targeted Poverty Alleviation (TPA) policy on depressive symptoms is also unclear. Using a quasi-experimental design, this study aims to investigate the causal effects of TPA and income inequality on depressive symptoms among Chinese adults.

STUDY DESIGN

This is a population-based study.

METHODS

Three waves (2012, 2016, and 2018) of the China Family Panel Studies (CFPS), a nationally representative sample of China, were included in this study. We performed difference-in-difference (DID) models to assess the effect of TPA and income inequality on depressive symptoms. We further conducted the mixed effect models to examine the impact of income inequality on depressive symptoms. The study considered a range of spatial factors and spatial splines to address spatial autocorrelations.

RESULTS

This study included valid measures of depressive symptoms (Center for Epidemiologic Studies Depression Scale [CES-D-8] score) from 14,442 adults of CFPS. The DID results indicated that at the provincial level, the CES-D-8 score of the TPA treatment group was on average 0.570 (95% confidence interval [CI]: 0.358-0.783) less than the control group. Furthermore, a 0.1 increase in Gini index would lead to a 0.256 (95% CI: 0.064-0.448) increase in CES-D-8 score. The mixed effect model showed that income inequality was a risk factor for depressive symptoms at the provincial level (excess risk = 5.602% [95% CI: 3.047%-8.219%]).

CONCLUSIONS

Our findings suggest that income inequality adversely affects mental health, but China's Targeted Poverty Alleviation improves the mental health of the Chinese population.

[Effects of Television Screen Exposure on the Mental Health of Middle-aged and Older Adults]

Objective

To explore the relationship between the duration of TV screen exposure and mental illnesses in middle-aged and older adults.

Methods

The study was based on a cohort of 500 000 participants from UK Biobank. A prospective cohort of participants with TV screen exposure was established based on the exposure factor of the participants' daily TV watching time. The outcome was defined as psychological problem-related outcomes. The follow-up period extended from the time of baseline assessment of the participants to December 31, 2019. Cox proportional hazard model was used to calculate the hazard ratio (HR) of suicide attempts and mental illnesses in the population covered by the study.

Results

A total of 410 946 participants were followed up for an average of 10.8 years and 33 071 of them experienced an outcome events. Compared with the group of participants who had 0-1 h of daily TV time, the group of participants who watched TV for more than 5 h per day had an HR of 1.37 (95% confidence interval [CI]: 1.31-1.44). In stratified analysis, we found that, compared with individuals aged 45 years and over, individuals who were 38-44 years old were at a higher risk of developing mental illness when they watched TV for long periods of time (>5 h HR 1.83, 95% CI: 1.55-2.15). Long periods of outdoor activities reduced the risk of mental illness for individuals who watched TV for long periods of time (>5 h HR 1.26, 95% CI: 1.16-1.37). Having less than 5 hours of sleep increased the mental health risks of individuals who watched TV for long periods of time (>5 h HR 1.56, 95% CI: 1.34-1.81) and when sleep duration increased, TV watching showed decreased impact on mental health risks (>5 h HR dropped from 1.56 to 1.19).

Conclusion

Our findings suggest that TV viewing for long periods of time increases the risk of mental illness. Increaseing outdoor activity time and sleep time reduces the negative impact of watching TV on mental health.

A 3-UK-nation survey on dementia and the cost of living crisis: contributions of gender and ethnicity on struggling to pay for social care

OBJECTIVES

The aim of this 3-UK-nation online survey was to explore the impact of the cost of living crisis on the lives of people with dementia and their carers, specifically on their ability to access social care and support services, and the contributions of gender and ethnic background.

METHODS

A 3-UK-nation (England, Wales, Northern Ireland) 31-item online survey was conducted in October 2022 asking people with dementia, carers, and people knowing but not caring for someone with dementia about social care and support service access, cost of living crisis, and changes due to the cost of living crisis. Frequency analysis and Chi-square analysis were employed to assess whether forms of payment for services varied by gender. Pearson correlation analysis and binary logistic regression were used to assess whether gender and ethnicity were associated with struggling to pay for care since the crisis.

RESULTS

A total of 1,095 people with dementia, unpaid carers, and people who knew but not cared for someone with dementia participated. Of those, 745 people with dementia were utilising community-based social care and support services. Twenty percent of those with complete data had reduced their spending on care services since the crisis. Men and those from non-white ethnic backgrounds were at significantly increased odds of struggling to pay for care services.

CONCLUSIONS

The cost of living crisis has led to exacerbated inequalities in accessing and using dementia care. Men and those from non-white ethnic backgrounds in particular need to receive greater support in accessing care.

It's not just in my head: An intersectional, social and systems-based framework in gender and sexuality diversity

BACKGROUND

The mental health and well-being of gender and sexuality diverse (GSD) people needs to be understood within a socio-political and cultural context.

AIMS

In this paper, an intersectional, social and system-based framework for understanding the mental health and well-being of GSD people is presented, for practitioners within this field to consider GSD mental health experiences and challenges within context.

MATERIALS AND METHODS

Starting with a consideration of the current landscape of understanding, pivotal theories and understandings within the field are outlined. The need for a framework that centralises intersectionality and broader systemic considerations is presented.

RESULTS

The framework provided has an explicit focus on four key features: (1) intersectionality, (2) institutions, policies and laws, (3) people and groups and (4) social stories.

DISCUSSION

Consideration of each of these 'circles of influence' can help practitioners to understand the multi-layered and intersectional experience of GSD folk and allows for an understanding of potential intervention at both an individual and systemic and societal level.

CONCLUSION

Use of such a framework in practice goes above and beyond what is currently available by centralising the role and impact of such wider systemic variables through an intersectional lens. The framework can be applicable worldwide given its flexibility to consider and apply pertinent policies, laws, people, groups and social stories within a particular country or culture.

Assessing the interaction effects of brain structure longitudinal changes and life environmental factors on depression and anxiety

Disrupted brain structures and several life environmental factors have been shown to influence depression and anxiety, but their interactions with anxiety and depression remain elusive. Genome-wide association study datasets of 15 brain structure longitudinal changes (N = 15,640) were obtained from the published study. Genotype and phenotype-related data of depression, anxiety, and life environmental factors (including smoking, alcohol drinking, coffee intake, maternal smoking, physical activity, vitamin D, insomnia, sleep duration, and family satisfaction) were collected from UK Biobank. We calculated the polygenic risk scores (PRS) of 15 brain structure changes and then conducted linear regression analyses to explore the interactions of brain structure changes and life environmental factors on depression and anxiety using 15 brain structure change-related PRS, life environmental factors and interactions of them as instrumental variables, and depression score or anxiety score as outcomes. Sex stratification in all analyses was performed to reveal sex-specific differences in the interactions. We found 14 shared interactions related to both depression and anxiety in total sample, such as alcohol drinking × cerebellum white matter 3 (WM; beta = -.003, p = .018 for depression; beta = -003, p = .008 for anxiety) and maternal smoking × nucleus accumbens 2 (beta = .088, p = .002 for depression; beta = .070, p = .008 for anxiety). We also observed sex-specific differences in the interactions, for instance, alcohol drinking × cerebellum WM 3 was negatively associated with depression and anxiety in males (beta = -.004, p = .020 for depression; beta = -.005, p = .002 for anxiety). Our study results reveal the important interactions between brain structure changes and several life environmental factors on depression and anxiety, which may help to explore the pathogenesis of depression and anxiety.

The role of social deprivation and depression in dementia risk: findings from the longitudinal survey of health, ageing and retirement in Europe

AIMS

Knowledge on the link of individual social deprivation with dementia is incomplete. We thus aimed to see whether an association with dementia risk can be observed using a recently developed Social Deprivation Index (SoDep Index). Further, as deprivation is related to depression, we investigated the role of depression in the association.

METHODS

We analysed data of 11 623 Survey of Health, Ageing and Retirement in Europe (SHARE) respondents. Social deprivation status was determined by SoDep Index score. Dementia was determined by self-reported diagnosis. Dementia risk by social deprivation status was estimated using Cox proportional hazard models, including relevant covariates (gender, marriage status, chronic conditions). Depressive symptom status was added in a second step. Further, we completed subgroup analyses by social deprivation status and analysed the relevance of depressive symptoms in dementia risk in each deprivation group. In an additional sensitivity analyses we corrected for mortality and used impaired cognitive testing performance as an alternative outcome.

RESULTS

High (v. low) social deprivation status was associated with an increased dementia risk (hazard ratio (HR) = 1.79 [95% CI 1.31-2.45]) in the Cox analysis adjusted for covariates only. Further adjustment for depressive symptom status indicated a largely direct association between social deprivation status and dementia risk. Moreover, compared to not having experienced depressive symptoms in the past or at baseline, those with past (HR = 1.67 [95% CI 1.23-2.25]), baseline (HR = 1.48 [95% CI 1.04-2.10]) or stable depressive symptoms (HR = 2.96 [95% CI 2.12-4.14]) had an increased dementia risk. The association between stable depressive symptom status and dementia risk was in the high social deprivation subgroup particularly pronounced. Sensitivity analyses replicated results.

CONCLUSIONS

Results add to a growing body of evidence indicating that a public health approach to dementia prevention must address socioeconomic inequity. Results suggest a largely direct association between social deprivation and dementia risk. Adults who experience high social deprivation appear particularly affected by detrimental effects of depressive symptomatology on dementia risk and need intervention.

Depressive Symptoms and Their Correlates Among Older People in Rural Viet Nam: A Study Highlighting the Role of Family Factors

This study examined the prevalence of depressive symptoms among older people living in a rural district in Hanoi, Vietnam in 2021. A cross-sectional survey was conducted with a sample of 495 people aged 60 years or older, using a structured questionnaire. The prevalence of self-reported depression, based on the short-form Geriatric Depression Scale—15 items, was 28.7%. Results from multiple variable logistic regression analyses showed that there was a significant association between age, educational level, family support, domestic violence, and depression. The study findings emphasize the importance of screening for depression in older people living in rural areas and the need for interventions aimed to enhance family support and reduce family-related stressors.

How socioeconomic status, social capital and functional independence are associated with subjective wellbeing among older Indian adults? A structural equation modeling analysis

Background

Subjective well-being (SWB) is of particular interest among gerontologists and health researchers with important implications for interventions especially in poor-resource settings. This study aimed to explore the possible pathways from socioeconomic status (SES), functional independence and social capital towards SWB among older adults in India.

Methods

Cross-sectional data from the “Building a Knowledge Base on Population Aging in India” (BKPAI) survey with a total sample of 9231 older adults aged 60 years and above were used. The outcome variable was low SWB (LSWB). The study used univariate and bivariate analysis for reporting the initial results. Further, the study employed the structural equation modeling (SEM) technique using maximum likelihood estimation (MLE) procedure to estimate the covariance matrix.

Results

Overall, about 27% of older adults reported LSWB. Reporting LSWB was more prevalent among older adults who had no income (30.8%) and those who had income but not sufficient to fulfil their basic needs (39.4%, p < 0.001). The prevalence of reporting LSWB was significantly higher among older adults who had no asset ownership (36.5%, p < 0.001) than those who had asset ownership. The path from the SEM shows that LSWB and SES are negatively related to each other. Moreover, LSWB had significant negative relationship with independence (β = -0.032, p < 0.001) and social capital (β = -0.020; p < 0.001). In addition, results found a positive relationship between SES and independence (β = 0.019; p < 0.001), SES and social capital (β = 0.016; p < 0.001), and independence and social capital (β = 0.033; p < 0.001).

Conclusions

The findings highlight that higher SES, good physical functioning as well as favorable social capital are interdependent factors of late-life wellbeing and a multidimensional approach in policymaking can ensure a successful and active ageing among older Indian adults.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-14215-4.

Index of multiple deprivation contributed to common psychiatric disorders: A systematic review and comprehensive analysis

BACKGROUND

Limited studies have been conducted to explore the interaction effects of social environmental and genetic factors on the risks of common psychiatric disorders.

METHODS

56,613-106,695 individuals were collected from the UK Biobank cohort. Logistic or liner regression models were first used to evaluate the associations of index of multiple deprivation (IMD) with bipolar disorder (BD), depression and anxiety in UK Biobank cohort. Then, for the significant IMD associated with BD, depression and anxiety, genome-wide gene-environment interaction study (GWEIS) was performed by PLINK 2.0.

RESULT

Totally, the higher levels of IMD were significantly associated with higher risks of BD, depression and anxiety. For BD, GWEIS identified multiple significant SNPs interacting with IMD, such as rs75182167 for income and rs111841503 for education. For depression and anxiety, GWEIS found significant SNPs interacting with income and education, such as rs147013419 for income and rs142366753 for education.

CONCLUSION

Social environmental deprivations contributed to the risks of psychiatric disorders. Besides, we reported multiple candidate genetic loci interacting with IMD, providing novel insights into the biological mechanism.

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.

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.

The Effectiveness of the Integrated Care Model among Community-Dwelling Older Adults with Depression: A Quasi-Randomized Controlled Trial

Depression is the second-leading cause of disability among older patients worldwide. This study examined the effectiveness of the Integrated Care Model (ICM) intervention in decreasing depression, suicide ideation, and psychological symptoms and improving life satisfaction among old patients with depression living in communities. The participants were allocated to either the intervention (n = 67) or control group (n = 76) from July 2018 to November 2018. All participants received the usual geriatric care for three months in eastern Taiwan. Additionally, participants in the intervention group were treated according to the ICM, including the assessment and management of health problems, improvements in spiritual and mental wellbeing, helping with activities of daily life and mobility, providing social welfare resources, and prevention of elder abuse. The patients in the experimental group showed significant improvement in the group-by-time effect on the Center for Epidemiologic Studies Depression Scale, the Brief Symptom Rating Scale, suicide ideation measures, and the Life Satisfaction Index over 18 weeks. The ICM should be included in routine geriatric care and adopted in hospitals, long-term care facilities, and communities

Cross-cultural adaptation and validation of the 15-item Geriatric Depression Scale (GDS-15) into Igbo language: a validation study

Background

Late-life experiences such as protracted and indisposing medical disorders can negatively impact older adults’ psychological and mental health, making them vulnerable to depression. Majority of the assessment tools for depression were developed for use in western countries. There is therefore the need for availability of culture- and environment-specific tools for assessment of depression in low-and-middle-income countries. This study was designed to cross-culturally adapt and validate the Geriatric Depression Scale-15 (GDS-15) into Igbo language and culture.

Methods

The English version of the GDS-15 was translated into Igbo language; synthesized, back-translated, and underwent expert panel review, pretesting and cognitive debriefing interview, according to the American Academy of Orthopedic Surgeons’ guidelines. The Igbo version of the GDS-15 was tested for concurrent and structural validities, and internal consistency among consecutively recruited 140 consenting older adults (62.9% females) in Enugu North Senatorial District at 0.05 level of significance.

Results

The English version of the GDS-15 was successfully cross-culturally adapted to Igbo with all the 15 items still retained on the Igbo version of the GDS-15. The Igbo version of the GDS-15 exhibited the same structure as the English version, and displayed a Cronbach’s alpha value of 0.53 with no significant ceiling (0%) and floor (0%) effects. The correlation between the participants’ total scores on the Igbo and the English versions of the GDS-15 (ρ = 0.86) was adequate. There was no significant difference between corresponding scores in the English and Igbo versions of the GDS-15 (p = 0.89).

Conclusions

The Igbo version of the GDS-15 is a valid and culturally specific instrument, and can be used for assessing depression among Igbo older adults in Nigeria.

The association between income inequality and adult mental health at the subnational level-a systematic review

PURPOSE

A systematic review was undertaken to determine whether research supports: (i) an association between income inequality and adult mental health when measured at the subnational level, and if so, (ii) in a way that supports the Income Inequality Hypothesis (i.e. between higher inequality and poorer mental health) or the Mixed Neighbourhood Hypothesis (higher inequality and better mental health).

METHODS

Systematic searches of PsycINFO, Medline and Web of Science databases were undertaken from database inception to September 2020. Included studies appeared in English-language, peer-reviewed journals and incorporated measure/s of objective income inequality and adult mental illness. Papers were excluded if they focused on highly specialised population samples. Study quality was assessed using a custom-developed tool and data synthesised using the vote-count method.

RESULTS

Forty-two studies met criteria for inclusion representing nearly eight million participants and more than 110,000 geographical units. Of these, 54.76% supported the Income Inequality Hypothesis and 11.9% supported the Mixed Neighbourhood Hypothesis. This held for highest quality studies and after controlling for absolute deprivation. The results were consistent across mental health conditions, size of geographical units, and held for low/middle and high income countries.

CONCLUSIONS

A number of limitations in the literature were identified, including a lack of appropriate (multi-level) analyses and modelling of relevant confounders (deprivation) in many studies. Nonetheless, the findings suggest that area-level income inequality is associated with poorer mental health, and provides support for the introduction of social, economic and public health policies that ameliorate the deleterious effects of income inequality.

CLINICAL REGISTRATION NUMBER

PROSPERO 2020 CRD42020181507.

Prevalence and determinants of depression among old age: a systematic review and meta-analysis

BACKGROUND

Depression is a leading cause of disability worldwide and is a major contributor to the overall global burden of disease. It is also one of the most common geriatric psychiatric disorders and a major risk factor for disability and mortality in elderly patients. Even though depression is a common mental health problem in the elderly population, it is undiagnosed in half of the cases. Several studies showed different and inconsistent prevalence rates in the world. Hence, this study aimed to fill the above gap by producing an average prevalence of depression and associated factors in old age.

OBJECTIVE

This study aims to conduct a systematic review and meta-analysis to provide a precise estimate of the prevalence of depression and its determinants among old age.

METHOD

A comprehensive search of PubMed, Scopus, Web of sciences, Google Scholar, and Psych-info from database inception to January 2020. Moreover, the reference list of selected articles was looked at manually to have further eligible articles. The random-effects model was employed during the analysis. Stata-11 was used to determine the average prevalence of depression among old age. A sub-group analysis and sensitivity analysis were also run. A graphical inspection of the funnel plots and Egger's publication bias plot test were checked for the occurrence of publication bias.

RESULT

A search of the electronic and manual system resulted in 1263 articles. Nevertheless, after the huge screening, 42 relevant studies were identified, including, for this meta-analysis, n = 57,486 elderly populations. The average expected prevalence of depression among old age was 31.74% (95% CI 27.90, 35.59). In the sub-group analysis, the pooled prevalence was higher among developing countries; 40.78% than developed countries; 17.05%), studies utilized Geriatrics Depression Scale-30(GDS-30); 40.60% than studies that used GMS; 18.85%, study instrument, and studies having a lower sample size (40.12%) than studies with the higher sample; 20.19%.

CONCLUSION

A high prevalence rate of depression among the old population in the world was unraveled. This study can be considered as an early warning and advised health professionals, health policymakers, and other pertinent stakeholders to take effective control measures and periodic care for the elderly population.

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.

A Longitudinal Change Patterns of Depression and Its Relationship with Socioeconomic Deprivation among Middle-Aged Adults in South Korea

This study aimed to identify the longitudinal pattern changes of South Koreans’ midlife depression and determine the impact of socioeconomic deprivation on the observed change in patterns. In total, 3975 middle-aged individuals were examined by conducting a latent class growth analysis and multinomial logistic regression analysis on seven years of Korea Welfare Panel data (2012–2018) using STATA 16.0 (StataCorp LLC, College Station, TX, USA). The change patterns of midlife depression were classified into normal depression reduction group, mild depression maintenance group, and serious depression increase group. The impact of the experience of socioeconomic deprivation on the classified change patterns was examined using the normal depression reduction group as the reference group. It was found that the higher an individual’s nutritional, housing, occupational/economic, and healthcare deprivation, the higher their risk of mild depression maintenance or serious depression increase. The serious depression increase group showed higher relative risk ratios in all domains. Comprehensive and integrated social welfare services, such as stable income, housing welfare, and healthcare services, should be provided along with appropriate clinical interventions for depression alleviation that account for the pattern changes in midlife depression.

Are There Heterogeneous Impacts of Air Pollution on Mental Health?

Many studies reveal that air pollution is related to mental health. However, the level of impact and the regulatory mechanism of air pollution on different types of mental health are unknown. This paper examines the heterogeneous impact and mediating mechanisms of air pollution on mental health based on data of 51 countries from 2010 to 2017 by using panel Tobit random effect model, mediating effect model, and bootstrap test. The findings show that, firstly, there is heterogeneous impact of air pollution on different types of mental health. Specifically, air pollution has a significant positive impact on depression; and the impacts on happiness and anxiety are closely related to income level. Secondly, the heterogeneous impact of air pollution on mental health is contingent on income levels. Thirdly, the heterogeneous impacts under different income levels are exacerbated by different levels of education and population density. Lastly, the mediating effect of physical health on different types of mental health is also heterogeneous. To be specific, the effects of air pollution on depression and anxiety are partly mediated by physical health; whereas the effect on happiness is not. These findings contribute to the understanding of air pollution on public health, and have significant implication for social and public health policy makers.

Direct participation of people with communication disabilities in research on poverty and disabilities in low and middle income countries: A critical review

INTRODUCTION

An estimated 1 billion people with disabilities live in low and middle income countries, a population that includes people with communication disabilities (PwCD). PwCD are a heterogenous group with a wide range of abilities who may be underrepresented in research due to the communication demands involved in research participation.

METHODS

A critical analysis of 145 studies from a previously published systematic review was undertaken with the aim of documenting the opportunities for direct participation of PwCD in research on poverty and disability in low- and middle- income countries.

RESULTS

The key finding was the high risk of underrepresentation of PwCD in research on poverty and disability in LMICs, despite low rates of explicit exclusion (n = 8; 5.5%). A total of 366 uses of data collection tools were analysed (255 unique tools). The majority of data collection tools had high communication demands (92.9%), including those measuring disability (88.6%) and those assessing poverty (100%). Only 22 studies (15.2%) specifically included PwCD. A subset of these studies (n = 14) presented disaggregated data in a way that allowed for analysis of outcomes for PwCD, suggesting a clear intersection between poverty and communication disability, with findings related to general poverty indicators, reduced access to education, low levels of employment, and additional expenditure.

CONCLUSIONS

The findings suggest a systematic underrepresentation of PwCD in research on poverty and disability with substantial implications for future policy and program planning, directly affecting the availability and provision of services and resources for this population. A failure to provide adequate opportunity for participation of PwCD in research risks leaving those with communication disabilities behind in the pursuit of global poverty eradication.

Effect of income inequality, community infrastructure and individual stressors on adult depression

This paper considers the impact of variables at three different levels-city, community and individual-on the depression of adults aged 45 years and above in China. Evidence shows that community factors, such as infrastructure and elderly centres, are critical to reduce depression but the effect of city-level factors such as lowering income inequality and improving public health investment is different for the segments of poor and non-poor as well as the rural and urban residents. This highlights the need to consider targeted policy mix options to avoid resource misallocation. Lastly, Chinese females' depression has worsened over time with ageing, particularly those who drink alcohol or are less educated are prone to depression prompting the need for specialist women health centres.

Urbanization level and neighborhood deprivation, not COVID-19 case numbers by residence area, are associated with severe psychological distress and new-onset suicidal ideation during the COVID-19 pandemic

BACKGROUND

Recent studies indicate an urgent need to take action against mental health issues during the COVID-19 pandemic. However, the association between larger-scale environmental factors such as living conditions and mental health problems during the pandemic is currently unknown.

METHODS

A nationwide, cross-sectional internet survey was conducted in Japan between August and September 2020 to examine the association between urbanization level and neighborhood deprivation as living conditions and COVID-19 case numbers by prefecture. Prevalence ratios (PRs) for severe psychological distress, suicidal ideation, and new-onset suicidal ideation during the pandemic were adjusted for potential confounders.

RESULTS

Among 24,819 responses analyzed, the prevalence of mental health problems was 9.2% for severe psychological distress and 3.6% for new-onset suicidal ideation. PRs for severe psychological distress were significantly associated with higher urbanization level (highest PR = 1.30, 95% CI = 1.08-1.56). PRs for new-onset suicidal ideation were significantly associated with higher urbanization level (highest PR = 1.83, 95% CI = 1.37-2.45) and greater neighborhood deprivation (highest PR = 1.35, 95% CI = 1.06-1.72). Severe psychological distress and new-onset suicidal ideation were significantly more prevalent when there was higher urbanization plus lower neighborhood deprivation (PR = 1.34 [1.15-1.56], and 1.57 [1.22-2.03], respectively).

CONCLUSION

These findings suggest that it is not the number of COVID-19 cases by residence area but higher urbanization level and greater neighborhood deprivation (lower neighborhood-level socioeconomic status) that are associated with severe psychological distress and new-onset suicidal ideation during the pandemic. These findings differ in part from evidence obtained before the pandemic.

Association between food insecurity and depression among older adults from low- and middle-income countries

BACKGROUND

To examine the association between self-reported food insecurity and depression in 34,129 individuals aged ≥50 years from six low- and middle-income countries (LMICs) (China, Ghana, India, Mexico, Russia, and South Africa).

METHODS

Cross-sectional, community-based, nationally representative data from the WHO Study on global AGEing and adult health (SAGE) were analyzed. Self-reported past 12-month food insecurity was assessed with two questions on frequency of eating less and hunger due to lack of food. Questions based on the World Mental Health Survey version of the Composite International Diagnostic Interview were used for the endorsement of past 12-month DSM-IV depression. Multivariable logistic regression analysis and meta-analysis were conducted to assess associations.

RESULTS

In total, 34,129 individuals aged ≥50 years [mean (SD) age, 62.4 (16.0) years; 52.1% females] were included in the analysis. Overall, the prevalence of moderate and severe food insecurity was 6.7% and 5.1%, respectively, while the prevalence of depression was 6.0%. Meta-analyses based on countrywise estimates showed that overall, moderate food insecurity (vs. no food insecurity) is associated with a nonsignificant 1.69 (95% confidence interval [CI] = 0.82-3.48) times higher odds for depression, while severe food insecurity is significantly associated with 2.43 (95% CI = 1.65-3.57) times higher odds for depression.

CONCLUSIONS

In this large representative sample of older adults from six LMICs, those with severe food insecurity were over two times more likely to suffer from depression (compared with no food insecurity). Utilizing lay health counselors and psychological interventions may be effective mechanisms to reduce depression among food-insecure populations. Interventions to address food insecurity (e.g., supplemental nutrition programs) may reduce depression at the population level but future longitudinal studies are warranted.

Factors associated with incidence of depressiveness among the middle-aged and older Estonian population

OBJECTIVE

Relatively scant research among older Estonian population describes factors associated with the incidence of depressive symptoms. This study identifies factors associated with the incidence of depressiveness among middle-aged and older Estonians over 2- and 4-year periods.

METHOD

In this cross-sectional analysis, logistic regression models are used to identify the factors associated with the incidence of depressiveness over 2- and 4-year periods. The data were drawn from the Survey of Health, Ageing and Retirement in Europe (SHARE) 2011-2015 which included Estonian population aged 53 years and older in 2013. After excluding those younger than 53 years, not interviewed 2 years later, those with depressive symptoms at baseline in 2013, and missing values for depressiveness or other variables, our analytical sample comprised 2513 people.

RESULTS

Among those who were not depressive in 2013, 21.9% became depressive within 2 years; 16.1% of non-depressive individuals since 2011 became depressive by 2015. No age differences in incidence remained in adjusted models. Women have almost 50% higher odds of becoming depressive. A previous history of depressiveness and the presence of everyday activity limitations were important factors increasing the incidence of depression.

DISCUSSION

Changes related to the individual's unique ageing experience are important explanatory factors related to the likelihood of developing depressive symptoms, rather than age itself. To diminish the incidence of depressive symptoms among older Estonian population, public health interventions should attempt to address factors which complicate existing health problems and facilitate continued independence and community involvement, both of which contribute to overall satisfaction with life.

Are There Heterogeneous Impacts of National Income on Mental Health?

Understanding heterogeneous impact and mechanisms between national income and mental health are crucial to develop prevention and intervention strategies. Based on panel data from 2007 to 2017, this study explores the heterogeneous impact of national income on different types of mental health. Then, it analyzes the heterogeneous impact among countries with different income levels. Furthermore, the heterogeneous moderating effects of national income on mental health mechanisms are elaborated and the findings reveal several key conclusions: firstly, national income exerts a heterogeneous impact on different types of mental health. Rising national income is conducive to increase people’s happiness and reduce their prevalence of anxiety disorders, but it increases the prevalence of depression disorders. Secondly, national income has a heterogeneous impact on different types of mental health among countries with different income levels. Furthermore, the heterogeneous influence mechanism of national income on mental health is mainly reflected in different types of mental health. Unemployment, social support and freedom can moderate the relationship between national income and depression, while social support, positive affect and negative affect can moderate the relationship between national income and anxiety. Finally, based on the conclusions of quantitative analysis, some important policy recommendations are proposed for policy makers.

Socio-demographic characteristics, lifestyle factors, multi-morbid conditions and depressive symptoms among Nepalese older adults

BACKGROUND

Depressive symptoms (DS) are a well-recognized public health problem across the world. There is limited evidence with regard to DS and its associates, such as socio-demographic characteristics, lifestyle factors and chronic conditions in low-income countries like Nepal. In this study, we aimed to assess the level of DS and its relationship with socio-demographic characteristics, lifestyle factors and chronic disease conditions among community dwelling older people in Nepal.

METHODS

We conducted a cross-sectional study of 794 older adults aged 60 or above residing in the rural setting of the Sunsari and Morang districts of eastern Nepal between January and April 2018. Multi-stage cluster sampling was adopted to select the study participants. Data included socio-demographics, lifestyle factors, self-reported chronic disease conditions and the Geriatric depression scale. On Geriatric depression scale, an older adult with a test score greater than five were defined as having depressive symptoms. Determinants of DS were estimated through the generalized estimating equation (GEE) approach by considering exchangeable correlation structure among clusters.

RESULTS

In our study samples, nearly 55.8% of the older adults were found to be suffering from DS. We found a significant association between DS and being female (aOR: 1.25, 95% CI: 0.89-2.09), Buddhism (aOR: 1.95, 95% CI: 1.58-2.42), Dalits (aOR: 2.60, 95% CI: 1.19-5.65), unemployed, low family income (aOR: 1.77, 95% CI: 1.07-2.92), smokers (aOR: 1.49, 95% CI: 1.01-2.20) and having chronic multi-morbid conditions (aOR: 1.67, 95% CI: 1.09-2.55).

CONCLUSIONS

The prevalence of DS was high among community-dwelling older adults in eastern Nepal. Our findings suggest the need for mental health prevention and management programs targeting the older population in rural Nepal.

Investigating global mental health: Contributions from political science

This article outlines an agenda for political science engagement with global mental health. Other social sciences have tackled the topic, investigating such questions as the link between poverty and mental health disorders. Political science is noticeably absent from these explorations. This is striking because mental health disorders affect one billion people globally, governments spend only about 2% of their health budgets on these disorders, and most people lack access to treatment. With its focus on power, political science could deepen knowledge on vulnerabilities to mental illness and explain weak policy responses. By illustrating how various forms of power pertaining to governance, knowledge, and moral authority work through the concepts of issue framing, collective action, and institutions, the article shows that political science can deepen knowledge on this global health issue. Political science can analyse how incomplete knowledge leads to contentious framing, thus hobbling advocacy. It can explain why states shirk their obligations in mental health, and it can question how incentives drive mental health mobilisation. The discipline can uncover how power undergirds institutional responses to global mental health at the international, national, and community levels. Political science should collaborate with other social sciences in research networks to improve policy outcomes.

A "Swiss paradox" in the United States? Level of spatial aggregation changes the association between income inequality and morbidity for older Americans

Although a preponderance of research indicates that increased income inequality negatively impacts population health, several international studies found that a greater income inequality was associated with better population health when measured on a fine geographic level of aggregation. This finding is known as a “Swiss paradox”. To date, no studies have examined variability in the associations between income inequality and health outcomes by spatial aggregation level in the US. Therefore, this study examined associations between income inequality (Gini index, GI) and population health by geographic level using a large, nationally representative dataset of older adults. We geographically linked respondents’ county data from the 2012 Behavioral Risk Factor Surveillance System to 2012 American Community Survey data. Using generalized linear models, we estimated the association between GI decile on the state and county levels and five population health outcomes (diabetes, obesity, smoking, sedentary lifestyle and self-rated health), accounting for confounders and complex sampling. Although state-level GI was not significantly associated with obesity rates (b = − 0.245, 95% CI − 0.497, 0.008), there was a significant, negative association between county-level GI and obesity rates (b = − 0.416, 95% CI − 0.629, − 0.202). State-level GI also associated with an increased diabetes rate (b = 0.304, 95% CI 0.063, 0.546), but the association was not significant for county-level GI and diabetes rate (b = − 0.101, 95% CI − 0.305, 0.104). Associations between both county-level GI and state-level GI and current smoking status were also not significant. These findings show the associations between income inequality and health vary by spatial aggregation level and challenge the preponderance of evidence suggesting that income inequality is consistently associated with worse health. Further research is needed to understand the nuances behind these observed associations to design informed policies and programs designed to reduce socioeconomic health inequities among older adults.

Geriatric Depressive Symptoms in Myanmar: Incidence and Associated Factors

Myanmar is one of many countries currently facing a growing older adult population; yet, the mental health status of the country's older adults is understudied. This is the first article to investigate the prevalence of geriatric depressive symptoms and its associated factors in Myanmar. We use data from the most recent large-scale older adult survey conducted in 2016, which employed the four-item short version of the Geriatric Depression Scale (GDS-4). Descriptive statistics reveal that, depending on the threshold applied, about 16% to 56% of the surveyed older adults have indications of depressive symptoms. We find that both economic and health status have a statistically significant association with depressive symptoms, but no basic individual characteristics are associated with it. Our findings suggest the importance of a social security system for older adults. Expanding the scope of the pension scheme and improving the provision of health care may be among the important policy options.

Inequality within a community at the neighborhood level and the incidence of mood disorders in Japan: a multilevel analysis

PURPOSE

This study analyzes whether income inequality within a community at the neighborhood level is associated with incidence of mood disorder in Japan.

METHODS

A retrospective cohort study was performed using the data of 116,658 National Health Insurance beneficiaries aged between 20 and 69 in Chiba City, Japan. To evaluate income inequality within a community, the Gini coefficient within a 30-min walking distance from an individual's residence was calculated using income distribution estimated by the National Census and the Housing and Land Survey 2013. Incidence of mood disorder was determined through insurance claims submitted from April 1, 2013, to March 31, 2016. A multilevel logistic analysis with three levels-the individual, household, and residential district-was performed to evaluate the association.

RESULTS

Income inequality within a community at the neighborhood level was not associated with incidence of mood disorder in the models with and without equivalent household income (p for trend = 0.856 and 0.947, respectively). No difference was observed in the impact of the Gini coefficient among income levels, lower versus higher income groups (p for interaction between Gini coefficient and household income = 0.967). In contrast, lower equivalent income at the household level was significantly associated with higher incidence of mood disorder (p for trend < 0.001).

CONCLUSIONS

While we confirmed that lower income at the household level itself had an adverse effect on mental health, income inequality within a community at the neighborhood level was not a significant factor for incidence of mood disorder in Japan.

What is the Impact of Social Deprivation on Physical and Mental Health in Orthopaedic Patients?

BACKGROUND

The complex interrelationship among physical health, mental health, and social health has gained the attention of the medical community in recent years. Poor social health, also called social deprivation, has been linked to more disease and a more-negative impact from disease across a wide variety of health conditions. However, it remains unknown how social deprivation is related to physical and mental health in patients presenting for orthopaedic care.

QUESTIONS/PURPOSES

(1) Do patients living in zip codes with higher social deprivation report lower levels of physical function and higher levels of pain interference, depression, and anxiety as measured by Patient-Reported Outcomes Measurement Information System (PROMIS) at initial presentation to an orthopaedic provider than those from less deprived areas; and if so, is this relationship independent of other potentially confounding factors such as age, sex, and race? (2) Does the relationship between the level of social deprivation of a patient's community and that patient's physical function, pain interference, depression, and anxiety, as measured by PROMIS remain consistent across all orthopaedic subspecialties? (3) Are there differences in the proportion of individuals from areas of high and low levels of social deprivation seen by the various orthopaedic subspecialties at one large, tertiary orthopaedic referral center?

METHODS

This cross-sectional evaluation analyzed 7500 new adult patients presenting to an orthopaedic center between August 1, 2016 and December 15, 2016. Patients completed PROMIS Physical Function-v1.2, Pain Interference-v1.1, Depression-v1.0, and Anxiety-v1.0 Computer Adaptive Tests. The Area Deprivation Index, a composite measure of community-level social deprivation, based on multiple census metrics such as income, education level, and housing type for a given nine-digit zip code was used to estimate individual social deprivation. Statistical analysis determined the effect of disparate area deprivation (based on most- and least-deprived national quartiles) for the entire sample as well as for patients categorized by the orthopaedic subspecialty providing care. Comparisons of PROMIS scores among these groups were based on an MCID of 5 points for each PROMIS domain (Effect size 0.5).

RESULTS

Patients living in zip codes with the highest levels of social deprivation had worse mean scores across all four PROMIS domains when compared with those living in the least-deprived quartile (physical function 38 +/- 9 versus 43 +/- 9, mean difference 4, 95% CI, 3.7-5.0; p < 0.001; pain interference 64 +/- 8 versus 60+/-8, mean difference -4, 95% CI, -4.8 to -3.7; p < 0.001; depression 50+/-11 versus 45+/-8, mean difference -5, 95% CI, -6.0 to -4.5; p < 0.001; anxiety 56+/-11 versus 50 +/-10, mean difference -6, 95% CI, -6.9 to -5.4; p < 0.001). There were no differences in physical function, pain interference, depression, or anxiety PROMIS scores between patients from the most- and least-deprived quartiles who presented to the subspecialties of spine (physical function, mean 35+/-7 versus 35+/-7; p = 0.872; pain interference, 67+/-7 versus 66+/-7; p = 0.562; depression, 54+/-12 versus 51 +/-10; p = 0.085; and anxiety, 60+/-11 versus 58 +/-9; p = 0.163), oncology (physical function, mean 33+/-9 versus 38 +/-13; p = 0.105; pain interference, 68+/-9 versus 64+/-10; p = 0.144; depression, 51+/-10 versus 52+/-13; p = 0.832; anxiety, 59+/-11 versus 59+/-10 p = 0.947); and trauma (physical function, 35+/-11 versus 32+/-10; p = 0.268; pain interference, 66+/-7 versus 67+/-6; p = 0.566; depression, 52+/-12 versus 53+/-11; p = 0.637; and anxiety, 59+/-12 versus 60+/-9 versus; p = 0.800). The social deprivation-based differences in all PROMIS domains remained for the subspecialties of foot/ankle, where mean differences ranged from 3 to 6 points on the PROMIS domains (p < 0.001 for all four domains), joint reconstruction where mean differences ranged from 4 to 7 points on the PROMIS domains (p < 0.001 for all four domains), sports medicine where mean differences in PROMIS scores ranged from 3 to 5 between quartiles (p < 0.001 for all four domains), and finally upper extremity where mean differences in PROMIS scores between the most- and least-deprived quartiles were five points for each PROMIS domain (p < 0.001 for all four domains). The proportion of individuals from the most- and least-deprived quartiles was distinct when looking across all seven subspecialty categories; only 11% of patients presenting to sports medicine providers and 17% of patients presenting to upper extremity providers were from the most-deprived quartile, while 39% of trauma patients were from the most-deprived quartile (p < 0.001).

CONCLUSIONS

Orthopaedic patients must be considered within the context of their social environment because it influences patient-reported physical and mental health as well as has potential implications for treatment and prognosis. Social deprivation may need to be considered when using patient-reported outcomes to judge the value of care delivered between practices or across specialties. Further studies should examine potential interventions to improve the perceived health of patients residing in communities with greater social deprivation and to determine how social health influences ultimate orthopaedic treatment outcomes.

LEVEL OF EVIDENCE

Level II, prognostic study.

Neighborhood features and depression in Mexican older adults: A longitudinal analysis based on the study on global AGEing and adult health (SAGE), waves 1 and 2 (2009-2014)

A growing body of literature shows that neighborhood characteristics influence older adults' mental health. Therefore, the aim of this study was to examine the association between structural and social characteristics of the neighborhood, and depression in Mexican older adults. A longitudinal study was conducted based on waves 1 (2009-2010) and 2 (2014) of the Mexican sample from the Study on global AGEing and adult health (SAGE). A street-network buffer around each participant's household was used to define neighborhood, so that built environment and social characteristics were assessed within it. Depression was ascertained by using an algorithm based on the Composite International Diagnostic Interview. In the analysis, multilevel logistic regression models were constructed separately for each built and social environments measurement, adjusted for socioeconomic, demographic and health-related covariates, and stratified by area of residence (urban versus rural). The results showed that a length of space between 15-45 meters restricted to vehicles was significantly associated with a lower risk of depression in older adults from the urban area (OR: 0.44; IC 95% 0.23-0.83) and the protective association appeared to be larger with increasing space with this restriction, although it lacked significance. Contrarily, the built environment measures were not predictive of depression in the rural setting. On the other hand, none of the variables from the social environment had a significant association, although safety appeared to behave as a risk factor in the overall (OR: 1.48; CI 95% 0.96-2.30; p = 0.08) and rural (OR: 3.44; CI 95% 0.95-12.45; p = 0.06) samples, as it reached marginal significance. Research about neighborhood effects on older adults' mental health is an emergent field that has shown that depression might be treated not only from the individual-level, but also from the neighborhood-level. Additionally, further research is needed, especially in low- and middle-income countries, to help guide neighborhood policies.

Physical injury and depression in six low- and middle-income countries: A nationally representative study

BACKGROUND

Studies on the association between physical injury and depression in low- and middle-income countries (LMICs) are scarce. Therefore, our goal was to analyze the association between physical injury and depression using nationally representative data from six LMICs.

METHODS

Cross-sectional data from the Study on Global Ageing and Adult Health (SAGE) survey (2007-2010) were analyzed (N = 42,489). Questions based on the World Mental Health Survey version of the Composite International Diagnostic Interview were used for the endorsement of past 12-month DSM-IV depression. Any injury in our analysis referred to having experienced traffic injury or other injury in the past 12 months. Multivariable logistic regression analysis and meta-analyses were used to assess associations.

RESULTS

Overall, the prevalence of depression was higher among those who had any injury compared to those without injuries (9.0% vs. 3.7%). Compared to having no injury, any injury without disability was associated with a 1.72 (95%CI=1.18-2.50) times higher odds for depression, while the odds for injury with disability was much higher (OR =3.81; 95%CI=2.16-6.73). The pooled estimate (OR) for the association between any injury and depression based on a meta-analysis using country-wise estimates was 3.28 (95%CI = 1.71-6.31) and a moderate level of between-country heterogeneity was observed (I² = 63.1%).

LIMITATIONS

Causality or temporal associations cannot be established due to the cross-sectional nature of the study.

CONCLUSIONS

Personalized mental health care to victims of physical injury may reduce risk for depression. Treating disability as the result of injuries may also be effective in the prevention of depressive disorders.

Income inequality and psychological distress at neighbourhood and municipality level: An analysis in the Netherlands

This study examines the associations between income inequality at neighbourhood and municipality level and psychological distress in a country with a relatively low income inequality, the Netherlands. Multilevel linear regression analyses were used to investigate associations between income inequality and mean income at the neighbourhood (n = 7803) and municipality (n = 406) level and psychological distress (scale range 10-50), in a country-wide sample of 343,327 individuals, adjusted for gender, age, ethnicity, marital status, education and household income. No significant association was found between neighbourhood income inequality and psychological distress after adjustment for individual and neighbourhood level confounding. However, a higher neighbourhood income inequality in neighbourhoods with the middle to highest mean neighbourhood incomes was associated with more psychological distress. Individuals living in municipalities with the highest income inequality reported 2.5% higher psychological distress compared to those living in municipalities with the lowest income inequality. Income inequality seems to matter more for mental health at the municipality than neighbourhood level.

Work status, retirement, and depression in older adults: An analysis of six countries based on the Study on Global Ageing and Adult Health (SAGE)

The aim of the present study was to analyse the association between the occurrence of a major depressive episode among older adults and work status in low- and medium-income countries. A cross-sectional study was conducted with people 60 years of age and older from the six countries (Mexico, India, China, Russian Federation, Ghana and South Africa) included in the Study on Global Ageing and Adult Health (SAGE) and who participated in its first wave (2009-2010). The occurrence of a major depressive episode (MDE) over the previous 12 months was determined based on an adaptation of the ICD-10 diagnostic criteria. The association between current work status and the presence of an MDE was estimated using binary logistic regression models with country-level fixed effects, and interaction terms between the country and work status. Results showed the odds of presenting an MDE were lower for older adults who were retired with a pension than for those who were currently working, although this protective association was observed only for men in China (OR=0.23; CI 95%:0.08-0.70) and Ghana (OR=0.25; CI 95%:0.07-0.95) and for women in India (OR=0.05; CI 95%:0.01-0.51) and South Africa (OR=0.19; CI 95%:0.04-0.97). For women, being a homemaker also showed a protective association in South Africa (OR=0.09; CI95%:0.01-0.66) and Mexico (OR=0.32; CI95%:0.14-0.76). In the case of being retired without a pension, no significant association was found in any country. The previous indicates that retirement with pension has a protective association with MDE only for men in China and Ghana and women in India and South Africa. The heterogeneity of this association reflects cultural and socioeconomic differences between the analysed countries.

Income inequality and self-reported health in a representative sample of 27 017 residents of state capitals of Brazil

Background

The association between income inequality and health has been analyzed predominantly in developed countries with modest levels of inequality. The study aimed to analyze the association between income inequality and self-reported health (SRH) in the adult population of the 27 Brazilian capitals.

Methods

Individuals aged 18 years or older from the National Health survey residing in Brazilian capitals in 2013 were analyzed (n = 27 017). Bayesian multilevel models were applied after controlling for individual factors and area-level socioeconomic characteristics.

Results

We found a significant association between income inequality and SRH, even after controlling for individual and contextual factors. The results indicate greater odds of poor SRH among those living in areas with medium (OR = 1.31, 95% CI: 1.17-1.47) and high income inequality level (OR = 1.39, 95% CI: 1.24-1.56). Income inequality remained significantly associated with SRH, even after controlling for other contextual socioeconomic characteristics, such as local illiteracy rate, violence and per capita income.

Conclusions

The study highlights the importance of the individual and contextual characteristics associated with SRH. Our findings suggest that city-level income inequality can have a detrimental effect on individual health, over and above other contextual socioeconomic characteristics and individual factors.

Prevalence of depression and associated factors among older adults at ambo town, Oromia region, Ethiopia

BACKGROUND

Depression is an important public health concern due to its devastating morbidity and mortality among older adults. The aim of this study was to assess the prevalence of depression and associated factors among older adults (age ≥ 60 years) in Ambo Town, Ethiopia, 2016.

METHODS

A community-based cross-sectional study was conducted among older adults in Ambo town from May to June 2016. Geriatric depression scale item 15 (GDS 15) was used to conduct face-to-face interviews with 800 study participants. Data were entered into Epi Info version 7 and analyzed using SPSS version 20. Descriptive statistics and multivariable logistic regression analysis were employed. Adjusted odds ratio (AOR) with a 95% confidence interval was used to calculate significance.

RESULTS

The prevalence of depression was found to be 41.8% [CI = 38.5%, 45.5%]. The multivariable logistic regression model revealed that female sex (AOR = 1.72; 95% CI = 1.12, 2.66), trading (AOR = 2.44; 95% CI =1.32, 4.57), living with children (AOR = 3.19, 95% CI =1.14, 8.93) and retirement (AOR = 3.94, 95% CI = 2.11, 7.35) were associated with depression among older adults.

CONCLUSION

The prevalence of depression among older adult was found to be high. Due emphasis needs to be given to screening and treating depression, especially among older females, retired individuals, adults living with children and merchants.

Exposure to ambient PM2.5 concentrations and cognitive function among older Mexican adults

BACKGROUND

Recent epidemiological research has shown that exposure to fine particulate pollution (PM_2.5) is associated with a reduction in cognitive function in older adults. However, primary evidence comes from high-income countries, and no specific studies have been conducted in low and middle-income countries where higher air pollution levels exist.

OBJECTIVES

To estimate the association between the exposure to PM_2.5 and cognitive function in a nationally representative sample of older Mexican adults and the associated effect modifiers.

METHODS

Data for this study were taken from the National Survey of Health and Nutrition in Mexico carried out in 2012. A total of 7986 older adults composed the analytical sample. Cognitive function was assessed using two tests: semantic verbal fluency and three-word memory. The annual concentration of PM_2.5 was calculated using satellite data. Association between exposure to PM_2.5 and cognitive function was estimated using two-level logistic and linear regression models.

RESULTS

In adjusted multilevel regression models, each 10 μg/m³ increase in ambient PM_2.5 raised the odds of a poorer cognitive function using the three-word memory test (OR = 1.37, 95% CI: 1.08, 1.74), and reduced the number of valid animal named in the verbal fluency test (β = -0.72, 95% CI: -1.05, -0.40). Stratified analyses did not yield any significant modification effects of age, sex, indoor pollution, urban/rural dwelling, education, smoking and other factors.

CONCLUSIONS

This study supports an association between exposure to PM_2.5 concentrations and cognitive function in older adults. This is particularly relevant to low- and middle-income countries, which are marked by a rapid growth of their aging population and high levels of air pollution.

Educational Mobility Across Generations and Depressive Symptoms Over 10 Years Among US Latinos

Few studies have collected intergenerational data to assess the association between educational mobility across multiple generations and offspring depression. Using data from the Sacramento Area Latino Study on Aging (1998-2008), we assessed the influence of intergenerational education on depressive symptoms over 10 years among 1,786 Latino individuals (mean age = 70.6 years). Educational mobility was classified as stable-low (low parental/low offspring education), upwardly mobile (low parental/high offspring education), stable-high (high parental/high offspring education), or downwardly mobile (high parental/low offspring education). Depressive symptoms were measured with the Center for Epidemiological Studies-Depression Scale (CES-D); higher scores indicated more depressive symptoms. To quantify the association between educational mobility and CES-D scores over follow-up, we used generalized estimating equations to account for repeated CES-D measurements and adjusted for identified confounders. Within individuals, depressive symptoms remained relatively stable over follow-up. Compared with stable-low education, stable-high education and upward mobility were associated with significantly lower CES-D scores (β = -2.75 and -2.18, respectively). Downwardly mobile participants had slightly lower CES-D scores than stable-low participants (β = -0.77). Our results suggest that sustained, low educational attainment across generations may have adverse mental health consequences, and improved educational opportunities in underresourced communities may counteract the adverse influence of low parental education on Latino depression.

The prevalence and correlates of severe depression in a cohort of Mexican teachers

BACKGROUND

Depression is among the 10 major causes of disability in Mexico. Yet, local contextual factors associated to the disorder remain poorly understood. We measured the impact of several factors on severe depression such as demographics, pharmacotherapy, multimorbidity, and unhealthy behaviors in Mexican teachers.

METHODS

A total of 43,845 Mexican female teachers from 12 Mexican states answered the Patient Health Questionnaire (PHQ9). Data were part the Mexican Teacher's Cohort prospective study, the largest ongoing cohort study in Latin America. Unadjusted and adjusted estimates assessed the impact of several contextual factors between severe versus mild-no depression cases.

RESULTS

In total 7026 teachers (16%) had a PHQ9 score compatible with severe depression. From them, only 17% received psychotropics, compared to 60% for those with a formal diagnosis. Less than 5% of teachers with PHQ9 scores compatible with severe depression had a formal diagnosis. Adjusted analysis reported higher odds of pharmacotherapy, having ≥ 3 comorbidities, higher levels of couple, family and work stress, fewer hours of vigorous physical activity, higher alcohol consumption, and smoking as risk factors for severe depression. Also, rural residents of northern and center states appeared more severely depressed compared to their urban counterparts. On average, the PHQ9 scores differed by ~ 10 points between severe and mild-no depressed teachers.

LIMITATIONS

A cross-sectional design. Also, the study focused on female teachers between ages 25 and 74 years old, reducing the generalizability of the estimates.

CONCLUSION

Under-diagnosis of clinical depression in Mexican teachers is concerning. Unhealthy behavior is associated with severe depression. The information collected in this study represents an opportunity to build prevention mechanisms of depression in high-risk subgroups of female educators and warrants improving access to mental care in Mexico.

Prevalence of depressive symptoms and factorial invariance of the Center for Epidemiologic Studies (CES-D) Depression Scale in a group of Mexican indigenous population

Introduction: The short version of the Center for Epidemiologic Studies (CES-D) Depression Scale is a viable tool for screening depressive symptomatology in the general population, but its factorial invariance for indigenous populations in Latin America has not been reported. Objective: To describe the differences in the prevalence of depressive symptomatology and the factorial invariance of the short version of the CES-D scale for the Mexican indigenous population. Materials and methods: We conducted a cross-sectional study with a representative sample of 37,165 Mexican adults aged 20 to 59 years. Indigenous identity was determined by self-report of being a speaker of an indigenous language. Eight groups of analysis were created according to gender, literacy, and being indigenous. An exploratory factor analysis was used to describe the prevalence of depressive symptoms as measured by the short version of the CES-D, as well as the configuration factorial invariance of the profiles. The variance-covariance matrices of the pairs of profiles were compared using the modified Mantel test. Results: The prevalence of depressive symptoms was 16.8% (95% CI: 13.4-20.3) for indigenous women who could read, 21.3% (95% CI: 15.5% 27.1) for indigenous women who could not read, 8.5% (95% CI: 6.0-11.1) for indigenous men who could read, and 10.4% (95% CI: 5.2-15.6) for indigenous men who could not read. No significant differences in the factorial loads of the profiles were found. Conclusion: The prevalence of depressive symptoms in indigenous people is lower than in the nonindigenous population. The factorial invariance of the CES-D scale was high for the indigenous population.

Income inequality and cardiovascular disease risk factors in a highly unequal country: a fixed-effects analysis from South Africa

Background

Chronic stress associated with high income inequality has been hypothesized to increase CVD risk and other adverse health outcomes. However, most evidence comes from high-income countries, and there is limited evidence on the link between income inequality and biomarkers of chronic stress and risk for CVD. This study examines how changes in income inequality over recent years relate to changes in CVD risk factors in South Africa, home to some of the highest levels of income inequality globally.

Methods

We linked longitudinal data from 9356 individuals interviewed in the 2008 and 2012 National Income Dynamics Study to district-level Gini coefficients estimated from census and survey data. We investigated whether subnational district income inequality was associated with several modifiable risk factors for cardiovascular disease (CVD) in South Africa, including body mass index (BMI), waist circumference, blood pressure, physical inactivity, smoking, and high alcohol consumption. We ran individual fixed-effects models to examine the association between changes in income inequality and changes in CVD risk factors over time. Linear models were used for continuous metabolic outcomes while conditional Poisson models were used to estimate risk ratios for dichotomous behavioral outcomes.

Results

Both income inequality and prevalence of most CVD risk factors increased over the period of study. In longitudinal fixed-effects models, changes in district Gini coefficients were not significantly associated with changes in CVD risk factors.

Conclusions

Our findings do not support the hypothesis that subnational district income inequality is associated with CVD risk factors within the high-inequality setting of South Africa.

Electronic supplementary material

The online version of this article (10.1186/s12939-018-0741-0) contains supplementary material, which is available to authorized users.

Psychosocial wellbeing and place characteristics in Mexico

This paper investigates the relationship between individual psychosocial wellbeing and place characteristics in Mexico, using multi-level models and nationally representative survey data. We explore psychosocial wellbeing in terms of self-reported depression symptoms, feelings of sadness and experience of stress; analyse place characteristics at the level of municipality and at the level of locality; and investigate individual-level heterogeneities in the relationship by gender, age, wealth and employment status. Our results suggest the existence of a significant relationship between individual psychosocial wellbeing and place characteristics, and provide evidence of heterogeneity in how place characteristics affect the psychosocial wellbeing of different groups.

Income inequality and depression: a systematic review and meta-analysis of the association and a scoping review of mechanisms

Most countries have witnessed a dramatic increase of income inequality in the past three decades. This paper addresses the question of whether income inequality is associated with the population prevalence of depression and, if so, the potential mechanisms and pathways which may explain this association. Our systematic review included 26 studies, mostly from high-income countries. Nearly two-thirds of all studies and five out of six longitudinal studies reported a statistically significant positive relationship between income inequality and risk of depression; only one study reported a statistically significant negative relationship. Twelve studies were included in a meta-analysis with dichotomized inequality groupings. The pooled risk ratio was 1.19 (95% CI: 1.07-1.31), demonstrating greater risk of depression in populations with higher income inequality relative to populations with lower inequality. Multiple studies reported subgroup effects, including greater impacts of income inequality among women and low-income populations. We propose an ecological framework, with mechanisms operating at the national level (the neo-material hypothesis), neighbourhood level (the social capital and the social comparison hypotheses) and individual level (psychological stress and social defeat hypotheses) to explain this association. We conclude that policy makers should actively promote actions to reduce income inequality, such as progressive taxation policies and a basic universal income. Mental health professionals should champion such policies, as well as promote the delivery of interventions which target the pathways and proximal determinants, such as building life skills in adolescents and provision of psychological therapies and packages of care with demonstrated effectiveness for settings of poverty and high income inequality.

Understanding postpartum depression in adolescent mothers in Mashonaland Central and Bulawayo Provinces of Zimbabwe

This study has shown evidence of significant prevalence of postpartum depression (PPD) among adolescent mothers (ADLM) (13.0%) than among adult mothers (ADM) (7.2%) (p < 0.001) in Mashonaland Central and Bulawayo provinces of Zimbabwe. The following were shown to significantly associate with PPD among ADLM: (p < 0.05): (i) abandonment by a partner, (ii) lack access to childhood needs, (iii) bad relationships within families, (iv) social insecurity, (v) prenatal depression (vi) unplanned pregnancies, (vii) lack of information about contraception, (viii) negative perception of teenage pregnancy, (ix) absence of both parents during childhood and (x) negative familial relationships during childhood [OR > 1, 95% CI; p < 0.05).

Income inequality and mental illness-related morbidity and resilience: a systematic review and meta-analysis

BACKGROUND

Studies of the association between income inequality and mental health have shown mixed results, probably due to methodological heterogeneity. By dealing with such heterogeneity through a systematic review and meta-analysis, we examine the association between income inequality, mental health problems, use of mental health services, and resilience (defined as the ability to cope with adversity).

METHODS

We searched the Global Health, PsychARTICLES, PsycINFO, Social Policy and Practice, Embase and MEDLINE databases up to July 6, 2016, for quantitative studies of the association of income inequality with prevalence or incidence of mental disorders or mental health problems, use of mental health services, and resilience. Eligible studies used standardised instruments at the individual level, and income inequality at the aggregated, contextual, and ecological level. We extracted study characteristics, sampling, exposure, outcomes, statistical modelling, and parameters from articles. Because several studies did not provide enough statistical information to be included in a meta-analysis, we did a narrative synthesis to summarise results with studies categorised as showing either a positive association, mixed results, or no association. The primary outcome in the random-effects meta-analysis was mental health-related morbidity, defined as the prevalence or incidence of any mental health problem. This study is registered with PROSPERO, number CRD42016036377.

FINDINGS

Our search identified 15 615 non-duplicate references, of which 113 were deemed potentially relevant and were assessed for eligibility, leading to the inclusion of 27 studies in the qualitative synthesis. Nine articles found a positive association between income inequality and the prevalence or incidence of mental health problems; ten articles found mixed results, with positive association in some subgroups and non-significant or negative association in other subgroups; and eight articles found no association between income inequality and mental health problems. Of the nine articles included in our meta-analysis, one reported a positive association between income inequality and mental health problems, six reported mixed results, and two reported no association. Pooled Cohen's d effect sizes for the association between income inequality and any mental disorder or mental health problems were 0·06 (95% CI 0·01-0·11) for any mental disorder, and 0·12 (0·05-0·20) for depressive disorders. Our meta-regression analysis showed that none of the factors considered (sample size, contextual level at which income inequality was assessed, quality assessment, type of instruments, and individual income as control variable) explained heterogeneity between studies (I² 89·3%; p<0·0001). Only one study investigated the association between income inequality and resilience; it found greater income inequality was associated with higher prevalence of depression only among individuals with low income. The only study of the role of income inequality as a determinant of the use of mental health services reported no association.

INTERPRETATION

Income inequality negatively affects mental health but the effect sizes are small and there is marked heterogeneity among studies. If this association is causal and growing income inequality does lead to an increase in the prevalence of mental health problems, then its reduction could result in a significant improvement in population wellbeing.

FUNDING

None.

Social Epidemiology and Global Mental Health: Expanding the Evidence from High-Income to Low- and Middle-Income Countries

PURPOSE OF THE REVIEW

The vast majority of research on the social determinants of mental health has been generated from high-income country (HIC) populations, even as the greatest health disparities, and greatest disease burden, is observed in lower- and middle-income countries (LMICs). The goal of this review is to examine the evidence base on how key social epidemiology constructs relate to mental health in LMIC contexts. A special focus is on points of departure from the HIC knowledge base, gaps in overall understanding, and opportunities for social epidemiology to make a significant contribution.

RECENT FINDINGS

A growing body of literature suggests that there is significant heterogeneity, both in the direction and magnitude, of association between factors such as socioeconomic status, income inequality, gender, and social networks/supports and mental health in LMIC. For example, higher levels of education and being married can be risk factors for worse mental health among women in certain contexts. However, many studies have methodological limitations that make causal inference difficult. Poverty alleviation interventions offer a unique opportunity to examine the impact of improving economic resources and mental health.

SUMMARY

Much remains unknown about the impact of key social factors on mental health in LMIC. Findings from HICs may not apply to LMIC populations, since the meaning and distribution of a given social variable may differ significantly from what is commonly observed in HICs. These points of departure point to opportunities for social epidemiology to make a contribution to the field of global mental health.

Self-rated health, multimorbidity and depression in Mexican older adults: Proposal and evaluation of a simple conceptual model

INTRODUCTION

Self-rated health is an individual and subjective conceptualization involving the intersection of biological, social and psychological factors. It provides an invaluable and unique evaluation of a person's general health status.

OBJECTIVE

To propose and evaluate a simple conceptual model to understand self-rated health and its relationship to multimorbidity, disability and depressive symptoms in Mexican older adults.

MATERIALS AND METHODS

We conducted a cross-sectional study based on a national representative sample of 8,874 adults of 60 years of age and older. Self-perception of a positive health status was determined according to a Likert-type scale based on the question: "What do you think is your current health status?" Intermediate variables included multimorbidity, disability and depressive symptoms, as well as dichotomous exogenous variables (sex, having a partner, participation in decision-making and poverty). The proposed conceptual model was validated using a general structural equation model with a logit link function for positive self-rated health.

RESULTS

A direct association was found between multimorbidity and positive self-rated health (OR=0.48; 95% CI: 0.42-0.55), disability and positive self-rated health (OR=0.35; 95% CI: 0.30-0.40), depressive symptoms and positive self-rated health (OR=0.38; 95% CI: 0.34-0.43). The model also validated indirect associations between disability and depressive symptoms (OR=2.25; 95% CI: 2.01- 2.52), multimorbidity and depressive symptoms (OR=1.79; 95% CI: 1.61-2.00) and multimorbidity and disability (OR=1.98; 95% CI: 1.78-2.20).

CONCLUSIONS

A parsimonious theoretical model was empirically evaluated, which enabled identifying direct and indirect associations with positive self-rated health.

Income inequality widens the existing income-related disparity in depression risk in post-apartheid South Africa: Evidence from a nationally representative panel study

AIM

Income inequality (II) and poverty are major challenges in South Africa (SA) yet little is known about their interaction on population mental health. We explored relationships between district II, household income (HHI) and depressive symptoms in national panel data.

METHOD

We used 3 waves (2008, 2010, 2012) of the SA National Income Dynamics Study (n=25936) in adjusted mixed effects logistic regression to assess if the relationship between HHI and depressive symptoms is dependent on level of II. Depressive symptoms were assessed with Centre for Epidemiologic Studies Depression scale, and District inequality ratios (P10P90) derived from HHI distributions in 53 districts.

RESULTS

Lower HHI and increasing II were associated with depressive symptoms. The interaction term between HHI and II on depressive symptoms was significant (β=0.01, 95% CI: <0.01-0.01); with increasing II and decreasing HHI, depression risk increased.

CONCLUSION

II widens income-related disparities in depression risk in SA, with policy implications for understanding socioeconomic determinants of mental health and informing global efforts to reduce disparities in high poverty and inequality contexts.