Urban-Rural Differences in Older Adult Depression: A Systematic Review and Meta-analysis of Comparative Studies

Oral Function, Loneliness, Depression, and Social Participation Among Physically Disabled Middle-Aged and Older Adult Individuals: Insights from a Japanese Cross-Sectional Study

Background/Objectives: In the context of an aging society, physical disability and its relationship with frailty is of growing concern. The aim of this study was to examine the associations between oral function, social participation, and loneliness among community-dwelling middle-aged and older adult physically disabled individuals. Methods: In this cross-sectional study, the participants were 140 individuals with certified physical disabilities living in the studied area. Demographic characteristics, outing activities, loneliness (Three-Item Loneliness (TIL) Scale), and frailty/ability to live independently (Kihon Checklist (KCL)) were assessed using a questionnaire survey. The participants were divided into two groups based on the presence or absence of oral dysfunction (OD), and statistical analyses were performed to compare the groups. Results: The group with OD had significantly higher TIL and KCL total scores and significantly lower mobility, confinement, cognitive function, greater levels of depression, and fewer outing activities (volunteering, movies, festivals, sports) compared to the group without OD. In a multivariate, age- and sex-adjusted binomial logistic regression analysis, outing activities (OR = 0.011, 95% CI: 0.000-0.529, p = 0.023) and loneliness (OR = 6.174, 95%CI: 1.292-29.502, p = 0.023) were identified as significant factors. Conclusions: An association was found between OD, loneliness, and social activities among middle-aged and older individuals with physical disabilities. The results suggest that future interventions should consider the relationship between oral function and factors such as depression, loneliness, social isolation, and social engagement as a means to mitigate frailty and other health and well-being concerns for physically disabled individuals.

Prevalence of depressive disorders among the very old in the 21st century

BACKGROUND

The aim of this study is to explore the prevalence of depressive disorders in very old adults over time, in rural/urban environments, between men/women, as well as to explore other factors associated with depressive disorders.

METHODS

This study was conducted utilizing the GERDA-database data, which consists of four cohorts of 85, 90 and 95+ year olds living in Northern Sweden. Participants could reside independently or in residential care. Data collections took place between 2000 and 2017. Descriptive data and logistic regression models were utilized to explore data.

RESULTS

The prevalence of depressive disorders increased between 2000/02 and 2015/17 in all age groups, with the highest percentages observed in the 95+ age group, reaching 53.6 % in 2015/17. The prevalence varied from 20.3 % in those without dementia to 65.1 % in those with dementia. Sex or living in an urban/rural environment was not associated with an increased risk of depression in the fully adjusted models. Dementia and reduced capacity in activities of daily living were associated with depressive disorders among 85 and 90-year-olds, while living alone was associated with depressive disorders in the 95+ age group.

LIMITATIONS

Potentially limited generalizability, as this study took place in northern Sweden.

CONCLUSIONS

The prevalence of depressive disorders among very old adults increases with age and the prevalence also increases throughout cohorts and time. These alarming rates of depressive disorders among the very old require immediate measures and further investigation. Future studies are needed to explore and monitor trends and to plan and design tailored interventions.

Health survey on anxiety, depression, and stress in Afghanistan: A large-scale cross-sectional study amid ongoing challenges

BACKGROUND

One of the most significant events in recent Afghan history is the rise of the Taliban and the war that followed, which had profound impacts on the lives of Afghans. The present study examined the mental health of Afghans living under the Taliban government.

METHODS

Between June 5, 2023 and February 12, 2024, a cross-sectional study was conducted among the Afghan population in three key regions of Afghanistan. Data were collected using a pre-tested structured questionnaire. The 21-item Depression, Anxiety and Stress scale (DASS-21) was utilized to assess depression, anxiety and stress of the Afghan population. Ethical permission for this study was granted by the Afghanistan Center for Epidemiological Studies (ACES). Logistic regression models were employed to explore the relationship between socio-demographic characteristics and depression, anxiety, and stress among 2,698 participants.

RESULTS

The prevalence of depression was 72.05%, anxiety was 71.94%, and stress was 66.49%. Multiple regression analysis indicated that gender (being female), economic status (being poor), residency (living in rural areas), education level (being illiterate), being a cigarette smoker, and having experienced a bad event during the past month were significantly associated with depression, anxiety and stress.

CONCLUSION

The findings of the present study show very high levels of anxiety, depression, and stress, most likely reflecting the profound impact of recent political, social, and economic changes. Notably, a significant majority of participants, particularly females and individuals above 35 years of age, reported severe to extremely severe mental health symptoms. The mental health crisis in Afghanistan is a complex and urgent issue that requires a comprehensive and compassionate response.

Social determinants of health and depressive symptoms before and after cancer diagnosis

Despite frequent reports of mental health needs among older women with cancer, depressive symptoms often go unrecognized and untreated, particularly in socially vulnerable survivors. Here, we examined associations of sociodemographic factors and social limitations with depressive symptoms from pre-diagnosis to post-diagnosis in older women diagnosed with breast or gynecological cancer. Using the Surveillance, Epidemiology, and End Results-Medicare Health Outcomes Survey (SEER-MHOS) linked dataset, we used logistic regression to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for associations between sociodemographic factors (race, ethnicity, marital status, rurality) and social limitations (i.e., health interfering with social activities) on depressive symptoms in women aged ≥65 years with breast or gynecologic cancer (n = 1,353). Most participants had breast cancer (82.0%), stage I-II cancer (85.8%), received surgery for their cancer (94.8%), and radiation treatment (50.6%). Prior to diagnosis, 11.8% reported depressive symptoms, which nearly doubled to 22.4% at follow-up. Participants were 2.7 times more likely of reporting depressive symptoms after cancer diagnosis compared with pre-cancer diagnosis (95%CI: 2.10-3.48). Race, ethnicity, rurality, marital status, and social interference were significantly associated with an increased risk of depressive symptoms after cancer diagnosis than before their cancer diagnosis (p < 0.05). In summary, depressive symptoms increased following a cancer diagnosis. Our results suggest potential avenues for intervention that could lead to reduced depressive symptoms among older female cancer survivors.

Interpersonal interactions, sense of loneliness and perceived depressive emotions among older adults: A cultural-psychological perspective from heterogeneous roles of different relationships

In the context of the "Chinese Differential Mode of Association" in traditional Chinese culture, this paper examines the heterogeneous effects of interpersonal interactions in different relationships on older adults' depressive emotions from a cultural-psychological perspective. Results using data from Chinese General Social Survey demonstrate that: interactions with children are the most helpful in reducing perceived depression for the elderly, followed by communications with siblings and relatives. However, interactions with friends and other fellows do not significantly reduce older people's perceived depression. This reflects the "Chinese Differential Mode of Association" in interpersonal relationships. When using different perceived depression measures, and Double Debiased Machine Learning (DDML) approaches for robustness and endogeneity tests, above findings are very robust. The impact mechanism is that interactions with children and siblings reduce depressive emotions by decreasing older adults' sense of loneliness, while communications with others do not have such a significant effect. This paper further discusses the roles of different types of interactions with adult children. It is found that receiving and providing emotional support can prominently decrease depressive emotions for older people, whereas the effects of monetary support and non-material assistance are less pronounced. In addition, interpersonal interactions' impacts are more significant for those who are female, older than 75 and with poorer health, as well as older people who exercise less frequently, have higher social status, and hold more traditional beliefs. In the current context of active promotion of healthy aging, findings of this paper have important implications for a deeper understanding and scientific management of depressive emotions among the elderly.

Factors Influencing Mental Well-being Among Older Malaysians

Older adults are at greater risk of mental health issues. This study examined the factors influencing mental well-being among 2230 Malaysian older adults, using data from the 2018 to 2019 Malaysia Ageing and Retirement Survey. The World Health Organization-Five Well-Being Index (WHO-5) was used to assess mental well-being, and linear regression analysis identified the significant factors. Women had lower mental well-being scores than men (P = .012, β = -0.016). Chinese (P = .024, β = -0.020), Indian (P < .001, β = -0.043), and other ethnicities (P < .001, β = -0.031) reported lower scores than Malays. The factors associated with better well-being were secondary (P = .001, β = 0.032) and tertiary education (P < .001, β = 0.063), and good (P < .001, β = 0.081) and moderate (P < .001, β = 0.038) health status. Diseases-limiting activities were associated with poor well-being (P < .001, β = -0.030). Support from family (P < .001, β = 0.062) and friends (P < .001, β = 0.032), social activity participation (P < .001, β = 0.026), and functional ability (P < .001, β = 0.043) were significant positive factors. There is a need for targeted interventions to enhance mental health among Malaysian older adults.

The Effect of Social Determinants of Health on Psychological Health Among Older Adults in Ghana

This study examines the effects of various factors, including socioeconomic status, built environment, access to healthcare, educational level, social participation, and economic stability, on older adults' psychological health. The current study analyzed a nationally representative sub-sample of 2,577 respondents aged 50 and above from the World Health Organization's Study on Global AGEing and Adult Health (WHO SAGE) Wave 2. WHO SAGE Wave 2 is cross-sectional data collected via in-person structured interviews. Ordinal least square (OLS) was used to measure the average effect of social determinants of health (SDoH), and quantile regression analysis was used to determine the effects of SDoH on older adults' psychological health at different quantiles, specifically 10th, 50th, and 90th percentiles. Significant determinants of psychological health across all quantiles included age, healthcare access, marital status, economic stability, and neighborhood and built environment. However, the degrees of significance for residence, gender, educational level, chronic diseases, and social participation varied between quantiles, showing differing effects on older adults with high or low psychological health. Religion was insignificant across all quantiles. This study highlights the need for governments and public health agencies to develop targeted interventions and strategies that support the psychological well-being of older adults in the country.

The relationship between mental well-being and wealth varies by wealth type, place and sex/gender: Evidence from Namibia

This paper explores the impact of livelihood strategies and place on mental well-being. Identifying different socioeconomic factors that impact mental well-being across contexts is pressing given the global rise in mental health disorders. Numerous studies in the population and social sciences have emphasized the protective role of material wealth on human health and well-being; however, scholars frequently assess wealth as a one-dimensional variable, which may fail to capture diverse forms of wealth. Acknowledging different forms of wealth may be particularly important in settings where agricultural economies coexist with cash economies. Using data from the 2013 Namibia Demographic Health Survey (n = 13 377), we use a newly developed measure of success in agricultural activities, an agricultural wealth index, or AWI, generated by Hackman et al., (2021). To examine the role of different forms of wealth on mental health symptoms. We find mental well-being, assessed through three survey questions, is lower among urban dwellers and females and shows varied associations with wealth type and sex/gender. In general, success in agricultural activities is associated with better mental well-being, while the association with market success is null or and conditional upon sex/gender and place. This study adds to recent work on the value of using multidimensional measures of wealth and raises important questions about why wealth type and sex/gender differentially impact mental well-being.

Age, period, cohort effects in trends of depressive symptoms among middle-aged and older Chinese adults

Objectives

To investigate the effects of age, period, and cohort on the trends of depression; and to examine the influence of these three temporal effects on residential disparities in depression.

Methods

Using data from the China Health and Retirement Longitudinal Study (CHARLS) during 2011 to 2020, involving 77,703 respondents aged 45 years old and above. The measurement of depressive symptoms was the score of 10-question version of the Center for Epidemiologic Studies Depression Scale (CES-D 10). The hierarchical age-period-cohort cross-classified random effects models were conducted to examine trends in depressive symptoms related to age, period and cohort.

Results

CES-D scores increased with age and slightly decreased at older age. The cohort trends mostly increased except for a downward trend among those born in 1950s. As for the period effect, CES-D scores decreased gradually from 2011 to 2013 followed by a upward trend. Rural residents were associated with higher level of depression than those live in urban area. These residence gaps in depression enlarged before the age of 80, and then narrowed. The urban-rural disparities in CES-D scores gradually diminished across cohorts, while the corresponding period-based change in urban-rural gaps was not significant.

Conclusion

When age, period, cohort factors are considered, the age effects on depression dominated, and the period and cohort variations were relatively small. The residence disparities in depression reduced with successive cohorts, more attention should be paid to the worsening depression condition of younger cohorts in urban areas.

The influence of residential Environment and residential experience on psychological depression in older adults: Evidence from China and Europe

This cross-national study examined the influence of residential environment and experience on depression in older adults in China and Europe to address existing research gaps. Using data from the China Health and Retirement Longitudinal Study (CHARLS) and Survey of Health, Ageing, and Retirement in Europe (SHARE) and employing ridge regression, it was found that residential environment and experience have a significant influence on older adults' depression. The influence of residential experience aligns with the sensitivity period hypothesis. The environment in which older adults live during specific age periods leaves an imprint on their psyche. This imprint is activated when specific environments are encountered in old age, thereby influencing the level of depression. This study examined how their influence on depression contributes to understanding older adults' housing preferences and can guide housing-related policies.

Network analysis of the urban-rural differences in depressive symptoms among older adults with multiple chronic conditions: Evidence from a national survey

BACKGROUND

Evidence on the differences in depressive symptoms among older adults with multiple chronic conditions (MCCs) in urban and rural areas is limited.

METHODS

Measures of depressive symptoms (Center for Epidemiologic Studies Depression Scale-10) and demographic factors (age, gender, and urban-rural distribution) were used.

RESULTS

A total of 4021 older adults with MCCs were included in this study. Significant differences were observed in both network global strength (Urban: 3.989 vs. Rural: 3.703, S = 0.286, p = 0.003) and network structure (M = 0.139, p = 0.002) between urban and rural residents.

CONCLUSIONS

The study highlights the need for region-specific approaches to understanding and addressing depression and holds the potential to enhance understanding of the psychological health status of older adults with MCCs in urban and rural settings.

Depressive symptoms and all-cause mortality among middle-aged and older people in China and associations with chronic diseases

Introduction

It remains unclear whether depressive symptoms are associated with increased all-cause mortality and to what extent depressive symptoms are associated with chronic disease and all-cause mortality. The study aims to explore the relationship between depressive symptoms and all-cause mortality, and how depressive symptoms may, in turn, affect all-cause mortality among Chinese middle-aged and older people through chronic diseases.

Methods

Data were collected from the China Health and Retirement Longitudinal Study (CHARLS). This cohort study involved 13,855 individuals from Wave 1 (2011) to Wave 6 (2020) of the CHARLS, which is a nationally representative survey that collects information from Chinese residents ages 45 and older to explore intrinsic mechanisms between depressive symptoms and all-cause mortality. The Center for Epidemiological Studies Depression Scale (CES-D-10) was validated through the CHARLS. Covariates included socioeconomic variables, living habits, and self-reported history of chronic diseases. Kaplan-Meier curves depicted mortality rates by depressive symptom levels, with Cox proportional hazards regression models estimating the hazard ratios (HRs) of all-cause mortality.

Results

Out of the total 13,855 participants included, the median (Q1, Q3) age was 58.00 (51.00, 63.00) years. Adjusted for all covariates, middle-aged and older adults with depressive symptoms had a higher all-cause mortality rate (HR = 1.20 [95% CI, 1.09-1.33]). An increased rate was observed for 55-64 years old (HR = 1.23 [95% CI, 1.03-1.47]) and more than 65 years old (HR = 1.32 [95% CI, 1.18-1.49]), agricultural Hukou (HR = 1.44, [95% CI, 1.30-1.59]), and nonagricultural workload (HR = 1.81 [95% CI, 1.61-2.03]). Depressive symptoms increased the risks of all-cause mortality among patients with hypertension (HR = 1.19 [95% CI, 1.00-1.40]), diabetes (HR = 1.41[95% CI, 1.02-1.95]), and arthritis (HR = 1.29 [95% CI, 1.09-1.51]).

Conclusion

Depressive symptoms raise all-cause mortality risk, particularly in those aged 55 and above, rural household registration (agricultural Hukou), nonagricultural workers, and middle-aged and older people with hypertension, diabetes, and arthritis. Our findings through the longitudinal data collected in this study offer valuable insights for interventions targeting depression, such as early detection, integrated chronic disease care management, and healthy lifestyles; and community support for depressive symptoms may help to reduce mortality in middle-aged and older people.

Thwarted Belongingness and Depressive Symptoms Among Older Adults: The Moderating Roles of Self-Warmth, Self-Coldness, and Place of Residence

OBJECTIVES

This study investigated whether the relationship between thwarted belongingness and depressive symptoms was moderated by self-warmth and self-coldness and whether the moderating effects were conditional on place of residence (urban versus rural).

METHODS

A sample of 236 Australian adults aged 65 to 97 years (M = 73.63, SD = 6.53) completed the Geriatric Depression Scale, Interpersonal Needs Questionnaire, and Self-Compassion Scale.

RESULTS

The interaction between thwarted belongingness and self-warmth was significant for urban but not rural older adults. For urban older adults, the relationship between thwarted belongingness and depressive symptoms weakened as levels of self-warmth increased. The association between thwarted belongingness and depressive symptoms was significantly stronger for older adults living in rural areas than in urban areas. The relationship between thwarted belongingness and depressive symptoms strengthened as self-coldness levels increased.

CONCLUSIONS

Self-warmth is a protective factor for older adults living in urban areas and experiencing thwarted belongingness. Self-coldness is an additional risk factor for older adults experiencing thwarted belongingness.

CLINICAL IMPLICATIONS

Interventions focusing on increasing self-warmth among urban older adults and decreasing self-coldness among older adults might weaken the relationship between thwarted belongingness and depressive symptoms.

A predictive model for depression in Chinese middle-aged and elderly people with physical disabilities

BACKGROUND

Middle-aged and older adults with physical disabilities exhibit more common and severe depressive symptoms than those without physical disabilities. Such symptoms can greatly affect the physical and mental health and life expectancy of middle-aged and older persons with disabilities.

METHOD

This study selected 2015 and 2018 data from the China Longitudinal Study of Health and Retirement. After analyzing the effect of age on depression, we used whether middle-aged and older adults with physical disabilities were depressed as the dependent variable and included a total of 24 predictor variables, including demographic factors, health behaviors, physical functioning and socialization, as independent variables. The data were randomly divided into training and validation sets on a 7:3 basis. LASSO regression analysis combined with binary logistic regression analysis was performed in the training set to screen the predictor variables of the model. Construct models in the training set and perform model evaluation, model visualization and internal validation. Perform external validation of the model in the validation set.

RESULT

A total of 1052 middle-aged and elderly persons with physical disabilities were included in this study, and the prevalence of depression in the elderly group > middle-aged group. Restricted triple spline indicated that age had different effects on depression in the middle-aged and elderly groups. LASSO regression analysis combined with binary logistic regression screened out Gender, Location of Residential Address, Shortsightedness, Hearing, Any possible helper in the future, Alcoholic in the Past Year, Difficulty with Using the Toilet, Difficulty with Preparing Hot Meals, and Unable to work due to disability constructed the Chinese Depression Prediction Model for Middle-aged and Older People with Physical Disabilities. The nomogram shows that living in a rural area, lack of assistance, difficulties with activities of daily living, alcohol abuse, visual and hearing impairments, unemployment and being female are risk factors for depression in middle-aged and older persons with physical disabilities. The area under the ROC curve for the model, internal validation and external validation were all greater than 0.70, the mean absolute error was less than 0.02, and the recall and precision were both greater than 0.65, indicating that the model performs well in terms of discriminability, accuracy and generalisation. The DCA curve and net gain curve of the model indicate that the model has high gain in predicting depression.

CONCLUSION

In this study, we showed that being female, living in rural areas, having poor vision and/or hearing, lack of assistance from others, drinking alcohol, having difficulty using the restroom and preparing food, and being unable to work due to a disability were risk factors for depression among middle-aged and older adults with physical disabilities. We developed a depression prediction model to assess the likelihood of depression in Chinese middle-aged and older adults with physical disabilities based on the above risk factors, so that early identification, intervention, and treatment can be provided to middle-aged and older adults with physical disabilities who are at high risk of developing depression.

Exploring influential factors in the self-assessment of life satisfaction among Chinese elderly: a structural equation modeling analysis

The aging problem is becoming more and more prominent globally. Attention to the quality of life and related health improvement among the elderly has become an important issue in modern society. This study utilized a tracking survey conducted in 2017-2018, involving 9,327 Chinese older adults, to examine health influencing factors, and applied structural equation modeling to analyze the influencing factors on the self-assessment of life satisfaction among older adults in different regions (cities, counties, and villages) in China. This study revealed that economic status, psychological status, personal situation, life behaviors, and child care are important influences on older people's self- assessed life satisfaction. There is a positive correlation between economic status, psychological status, child care and the results of the self-assessment of life satisfaction of the elderly. Psychological status and child care have a greater impact on the self-assessment of life satisfaction among the elderly in urban areas compared to villages and towns. The influence of economic status on the self-assessment of life satisfaction of the elderly is lower in urban areas than in rural areas. There is a significant difference in the influence of personal situations on the self-assessment of life satisfaction among the elderly. Additionally, older individuals tend to report higher levels of self-assessment of life satisfaction. Furthermore, female elderly individuals tend to report higher levels of satisfaction compared to males. Findings from this study indicate that improving health self-assessment in older adults requires targeted efforts based on different geographic areas of life and the age stages of older adults, and more attention needs to be paid to men who are just entering old age.

The association between dual sensory loss and healthcare expenditure: Mediating effect of depression

BACKGROUND

Previous studies have suggested the dual sensory loss (DSL) is linked to depression, and that they are associated with higher healthcare expenditures, respectively. However, the association between DSL, depression and healthcare expenditures remains ambiguous.

OBJECTIVES

The current study aims to examine the association between DSL, depression and healthcare expenditures as well as catastrophic health expenditures (CHE) among Chinese people aged 45 and above.

METHODS

We first utilized the China Health and Retirement Longitudinal Survey (CHARLS) 2018 to obtain data from a total of 13,412 Chinese individuals aged 45 and above to conduct a cross-sectional study. DSL was defined as a combined variable of self-reported vision loss and hearing loss. Depression was measured using The Center for Epidemiologic Studies Depression Scale (CESD-10). The healthcare expenditures, including outpatient out-of-pocket cost and inpatient out-of-pocket cost, were obtained from the Harmonized CHARLS section. CHE were defined as out-of-pocket (OOP) health spending equal to or higher than 40 % of a household's capacity to pay. A Tobit linear regression with three models and a path analysis were conducted to estimate the association between DSL, depression and healthcare expenditures and CHE. Then we utilized 2011CHARLS and 2018CHARLS to present a longitudinal analysis. A path analysis was conducted to estimate the association between 2011DSL, 2018depression and 2018healthcare expenditures and CHE.

RESULTS

Depression has a significant mediating effect between DSL and healthcare expenditures. (For outpatient OOP cost: a = 0.453, b = 23.559, c = 25.257, the proportion of mediating effect in total effect = 29.71 %; for inpatient OOP cost: a = 0.453, b = 13.606, c = 15.463, the proportion of mediating effect in total effect = 28.50 %; all P < 0.05). The mediating effect of depression also exists in the association between DSL and CHE (a = 0.453, b = 0.018, c = 0.043, the proportion of mediating effect in total effect = 15.90 %; P < 0.05). The mediation effect of depression on healthcare expenditures and CHE also exists in the longitudinal analysis using CHARLS 2011 and CHARLS 2018 (all P < 0.05).

LIMITATIONS

The DSL status were based on self-report and we used 2018CHARLS to conduct the study, which may cause some bias.

CONCLUSION

Significant mediating effect of depression exists between DSL and higher healthcare expenditures and CHE. The mental health of elder people with DSL should be focused on, and we should have an overall viewpoint on the topic of healthcare expenditures and CHE.

Depressive symptoms in the entire spectrum of cognitive ageing in Greece: evidence from the Hellenic Longitudinal Investigation of Aging and Diet (HELIAD)

OBJECTIVES

To study (i) the prevalence of mild and moderate-to-severe depressive symptoms in the entire spectrum of cognitive ageing in Greece and (ii) the relationship between these symptoms and demographic and clinical data.

METHODS

The study was based on the randomly selected cohort of the Hellenic Longitudinal Investigation of Aging and Diet (HELIAD). Depressive symptoms were assessed with the 15-item version of the Geriatric Depression Scale. Participants also received a comprehensive neuropsychological assessment, while the clinical diagnoses of dementia and mild cognitive impairment were established according to international diagnostic criteria. Statistical analyses relied on comparison tests and a logistic (proportional odds) ordinal regression model.

RESULTS

Depressive symptoms were detected in 19.5% of the 1936 study participants, while 11.3% of both people with MCI and dementia had moderate-to-severe depressive symptoms. The regression model revealed that older adults with more severe depressive symptoms were more likely female, cognitively impaired, less educated, were treated with psychotropic medication and lived in Attica versus Thessaly.

CONCLUSIONS

Since depressive symptoms were detected in almost one in five older adults, healthcare professionals in Greece should safeguard the timely detection and effective treatment of such symptoms and the post-diagnostic care of older adults with depression.

Childhood intelligence and risk of depression in later-life: A longitudinal data-linkage study

Background

Lower childhood intelligence test scores are reported in some studies to be associated with higher risk of depression in adulthood. The reasons for the association are unclear. This longitudinal data-linkage study explored the relationship between childhood intelligence (at age ∼11) and risk of depression in later-life (up to age ∼85), and whether childhood family structure and adulthood socio-economic and geographical factors accounted for some of this association.

Methods

Intelligence test scores collected in the Scottish Mental Survey 1947 were linked to electronic health records (hospital admissions and prescribing data) between 1980 and 2020 (n = 53,037), to identify diagnoses of depression. Mixed-effect Cox regression models were used to explore the relationship between childhood intelligence test scores and risk of depression in later-life. Analyses were also adjusted for childhood family structure (size of family) and adulthood socio-economic and geographical factors (Carstairs index, urban/rural).

Results

Twenty-seven percent of participants were diagnosed with depression during follow-up (n = 14,063/53,037). Greater childhood intelligence test scores were associated with a reduced risk of depression in an unadjusted analysis (HR = 0.95, 95% CI = 0.93 to 0.97, P < 0.001), and after adjustment for factors experienced in childhood and adulthood (HR = 0.95, 95% CI = 0.91 to 1.00, P = 0.032). When identifying depression using only hospital admissions data, greater childhood intelligence test scores were associated with a reduced risk of depression following unadjusted analysis (HR = 0.86, 95% CI = 0.82 to 0.90, P < 0.001), and after adjusting for risk factors in childhood and adulthood (HR = 0.94, 95% CI = 0.89 to 0.99, P = 0.026). There was no association between childhood cognitive test scores and depression when identifying cases of depression using only prescribed drugs data.

Conclusions

This study provides additional evidence suggesting that higher childhood intelligence predicts reduced risk of later-life depression only when depression is assessed based on hospital admission records. Childhood family structure and adulthood socio-economic and geographical factors did not seem to be substantial confounders.

Predictors of Depression in Elderly According to Gender during COVID-19: Using the Data of 2020 Community Health Survey

BACKGROUND

This study aimed to examine factors influencing depression according to gender in people during COVID-19.

METHODS

This study was conducted on 61,147 elderly individuals over the age of 65 who participated in the 2020 Community Health Survey (CHS). Data analysis was conducted using SAS 9.4.

RESULTS

Elderly females had a higher perceived fear of COVID-19 than males. The common factors affecting depression in elderly individuals were age, monthly income, economic activity, stress, subjective health status, and social support. Among elderly women, changes in residential areas and daily life due to COVID-19 were identified as factors affecting depression.

CONCLUSIONS

Therefore, during COVID-19, it was necessary to provide customized depression relief programs for the elderly, and it was necessary to find ways for them to positively perceive their health status and increase healthcare efficacy. In the future, it is necessary to pay attention to elderly women living in rural areas and make efforts to ensure that their daily lives are not interrupted by infectious diseases.

The association between urbanization and adolescent depression in China

Background

With the rapid urbanization in many countries, more attention is being paid to the relationship between urbanization and mental health, especially depression. However, in countries with rapid urbanization, few empirical studies exist on the relationship between urbanization and adolescent depression.

Methods

Nationally representative survey data from the China Family Panel Studies in 2012, 2016 and 2018 were used. Data of 1,588 adolescents were obtained from 25 provinces. Depression was measured using the Center for Epidemiology Studies of Depression 20-item score. The urbanization rate was obtained from the National Bureau of Statistics of China. The generalized estimating equation was used to estimate the statistical relationship.

Results

The participants' mean age at baseline was 15 years, and 51.2% (813/1,588) of participants were male. After adjusting for all covariates (gender, age, ethnicity, level of education, marital status, urban/rural areas, body mass index, self-rated health, academic pressure, smoking, drinking and exercise), the rate of urbanization was monotonically and negatively associated with adolescent depression (odds ratio 0.34, 95% CI [0.14-0.79]). Compared with female adolescents, male adolescents had a lower risk of depression (odds ratio 0.80, 95% CI [0.67-0.97]).

Conclusion

In the context of China, urbanization has a positive effect on the mental health of adolescents. Female adolescents are more likely to experience depression than male adolescents.

Socioeconomic inequalities in depressive symptoms in China: The role of social capital

This cohort study used the China Health and Retirement Longitudinal Study (CHARLS, 2015-2018) to investigate the effects of socioeconomic status and social capital to the incidence of depressive symptoms among middle-aged and older individuals in China, incorporating a sample size of 9949 participants. Socioeconomic status, social capital and other explanatory variables were collected in 2015, while depressive symptoms were assessed in 2018. Basic characteristics and social capital measures were compared between urban and rural residents using the chi-square test. Logistic regression was used to explore the relationship between socioeconomic status, social capital and depressive symptoms, and the Karlson, Holm, and Breen (KHB) method was employed to verify the mediating role of social capital. We reported persistent socioeconomic inequalities in depressive symptoms, with rural residents and the illiterate having 1.45 times and 1.34 times higher odds of depression. We ascertained social capital from both the cognitive and structural constructs, where we enriched the measurement of structural social capital from three specific dimensions, i.e., informal interaction, altruism, and formal social participation. We found that both cognitive and structural social capital were associated with lower incidence of depressive symptoms, where informal interaction had the largest effect. The mediation analysis further illustrated that informal interaction contributed most to explain 6 %-12 % of the socioeconomic inequalities in depressive symptoms. These results highlighted the unsatisfied mental wellbeing of the vulnerable older people living in rural areas. The finding suggested that older people may benefit more from personal interactions than formal participations. To fulfill the Health in All vision, government and social organizations should consider how to create opportunities to better integrate the older people into the community.

Regional differences in the effects of healthy aging on depressive symptoms: a Korean longitudinal study of aging (2006-2020)

Background

Depression is a widely prevalent, often recurrent condition. To analyze the regional differences in depressive symptoms over time, we investigated urban-rural differences in change in depression over time in South Korea and the association between healthy aging and depressive symptoms among middle-aged and older adults.

Methods

Data collected in the Korean Longitudinal Study of Aging, from 2006 to 2020, of adult participants aged ≥45 years without depressive symptoms were analyzed. Healthy aging was defined under five principal components: absence of chronic disease, good physical function, normal cognitive function, active social engagement, and good psychological adaptation. Depressive symptoms were measured using the short version of the Center for Epidemiologic Studies Depression Scale. Using the Andersen-Gill model for recurrent time-to-event, we examined the effect of healthy aging on depressive symptoms, with a subgroup analysis based on the residential area.

Results

Of the 7,708 participants, 78.2% lived in urban areas and 39.4% achieved healthy aging. In 2008, rural residents had a higher incidence of depressive symptoms (rural 11.8%; urban 8.9%); however, after 2016, the depressive symptoms of urban residents gradually increased (rural 6.4%; urban 12.1%). Unhealthy aging (adjusted hazard ratio = 3.04, 95% confidence interval: 2.72-3.39) and urban residence (adjusted hazard ratio = 1.15, 95% confidence interval: 1.06-1.24) were risk factors for depressive symptoms. The subgroup analysis revealed that individuals who did not achieve healthy aging had an increased risk of depressive symptoms, regardless of their residential area (hazard ratio [95% confidence interval]: urban, 3.13 [2.75-3.55]; rural 2.59 [2.05-3.28]).

Conclusion

As urbanization accelerates, urban residents have a higher risk of depressive symptoms than rural residents. Healthy aging is an essential factor in reducing depressive symptoms. To achieve healthy aging, appropriate interventions and policies that target the middle-aged adults and gradually extend to older adults are needed, considering individual and regional factors.

Association between digital engagement and urban-rural disparities in Chinese women's depressive symptoms: A national-level cross-sectional study

Objectives

This study aims to investigate the impact of digital engagement on urban-rural disparities in depressive symptoms among Chinese women.

Methods

Using a dataset from the China Family Panel Studies (CFPS) wave 2020, this study analyzes the impact of digital engagement on the urban-rural disparity in women's depressive symptoms using multiple linear regression and recentered influence function (RIF) models. Furthermore, the extent to which digital engagement affects the urban-rural disparity in women's depressive symptoms was calculated using the RIF decomposition method.

Results

Analysis showed that rural women had significantly higher levels of depressive symptoms compared to urban women; digital engagement significantly reduced women's depressive symptoms levels and mitigated the urban-rural disparity for women with moderate to high levels of depressive symptoms, and the mitigating effect was stronger for the highly depressed sample, but still widened the urban-rural disparity in women's depressive symptoms overall. In addition, the results of the RIF decomposition showed that digital engagement explained 28.28% of the urban-rural disparity in women's depressive symptoms.

Conclusion

There is a significant disparity in depressive symptoms levels between urban and rural women in China. Digital engagement reduces women's depressive symptoms, but it also widens the depressive symptoms disparity between urban and rural women overall. Digital engagement is potentially positive for reducing women's depressive symptoms.

Sociodemographic and Behavioral Factors Associated With Hypertension and Depression in 4 Rural Communities in Northern Ghana: A Cross-Sectional Study

OBJECTIVES

The prevalences of hypertension and depression in sub-Saharan Africa are substantial and rising, despite limited data on their sociodemographic and behavioral risk factors and their interactions. We undertook a cross-sectional study in 4 communities in the Upper East Region of Ghana to identify persons with hypertension and depression in the setting of a pilot intervention training local nurses and health volunteers to manage these conditions.

METHODS

We quantified hypertension and depression prevalence across key sociodemographic factors (age, sex, occupation, education, religion, ethnicity, and community) and behavioral factors (tobacco use, alcohol use, and physical activity) and tested for association by multivariable logistic regression.

RESULTS

Hypertension prevalence was higher in older persons (7.6% among 35- to 50-year-olds vs 16.4% among 51- to 70-year-olds) and among those reporting alcohol use (18.9% vs 8.5% between users and nonusers). In multivariable models, only older age (AOR 2.39 [1.02, 5.85]) and residence in the community of Wuru (AOR 7.60 [1.81, 32.96]) were independently associated with hypertension, and residence in Wuru (AOR 23.58 [7.75-78.25]) or Navio (AOR 7.41 [2.30-24.74]) was the only factor independently associated with depression.

CONCLUSIONS

We report a high prevalence of both diseases overall and in select communities, a trend that requires further research to inform targeted chronic disease interventions.

Association between depression and risk of type 2 diabetes and its sociodemographic factors modifications: A prospective cohort study in southwest China

BACKGROUND

Depression may be associated with the risk of developing type 2 diabetes. The goal of this study was to explore the association of severe of depression with the risk of type 2 diabetes in adults in Guizhou, China.

METHODS

A 10-year prospective cohort study of 7158 nondiabetes adults aged 18 years or older was conducted in Guizhou, southwest China from 2010 to 2020. The Patient Health Questionnaire-9 (PHQ-9) was used to measure the prevalence of depression. Cox proportional hazard models were used to estimated hazard ratios (HRs) and 95% confidence intervals (95% CIs) of depression and incident type 2 diabetes. A quantile regression (QR) analytical approach were applied to evaluate the associations of PHQ-9 score with plasma glucose values.

RESULTS

A total of 739 type 2 diabetes cases were identified during a median follow-up of 6.59 years. The HR (95% CI) per 1-SD increase for baseline PHQ-9 score was 1.051 (1.021, 1.082) after multivariable adjustment. Compared with participants without depression, those with mild or more advanced depression had a higher risk of incident type 2 diabetes (HR:1.440 [95% CI, 1.095, 1.894]). Associations between depression with type 2 diabetes were suggested to be even stronger among women or participants aged ≥45 years (p < .05). There are significant positive associations of PHQ-9 score with 2-h oral glucose tolerance test blood glucose levels.

CONCLUSION

Depression significantly increased the risk of incident type 2 diabetes, especially in women, participants aged ≥45 years, Han ethnicity, and urban residents. These findings highlighted the importance and urgency of depression health care.

Urbanicity and depression: A global meta-analysis

BACKGROUND

Previous meta-analyses have revealed that in adult and older adult populations of developed countries, depression is more prevalent in urban than rural areas. No meta-analyses have identified the effects of urbanicity on the general age demographic for developing countries. We conducted a meta-analysis of urban-rural differences in depression across all age demographics for developed and developing countries.

METHODS

PubMed and PsycINFO databases were searched for studies published between 1980 and 2020. Studies were included if they reported prevalences of urban and rural depression, or odds ratios comparing urban-rural depression prevalence. Studies were excluded for: nonrepresentative samples, non-standard measures of depression, and reporting continuous outcomes only. Meta-analytic models of urban-rural differences in the odds of depression were conducted across country development levels and age demographics.

RESULTS

From 1597 records screened and 302 full texts assessed for eligibility, 80 studies (N = 539,557) were included for meta-analysis. Urban residence was significantly associated with a higher prevalence of depression in developed countries (OR = 1.30, 95 % CI [1.17, 1.46], z = 4.75, p < .001), which was primarily driven by urban-rural differences in the general population age demographic (OR = 1.37, 95 % CI [1.22, 1.54], z = 5.38, p < .001).

LIMITATIONS

Studies reporting urban-rural differences in depression in terms of continuous symptom severity scores were not included.

CONCLUSIONS

Urbanicity appears to uniquely be associated with a higher prevalence of depression in developed countries, but not in developing countries.

Urban-rural disparities in the prevalence and trends of depressive symptoms among Chinese elderly and their associated factors

BACKGROUND

This study aimed to examine urban-rural disparities in the prevalence and trends of depressive symptoms (DS) among Chinese elderly and associated factors.

METHODS

A total of 8025, 7808, and 4887 respondents aged 60 years and above were selected from the China Family Panel Studies (CFPS) in 2016, 2018, and 2020, respectively. DS was assessed using a short version of Center for Epidemiologic Studies Depression Scale (CES-D). Twenty-two associated factors from six categories were included in random forest (RF) models. All urban-rural comparisons were conducted based on good model performance.

RESULTS

The DS prevalence among all rural elderly was significantly higher than corresponding urban elderly. This disparity continued to widen among younger elderly, while it continued to narrow among older elderly. The top 10 common leading factors were sleep quality, self-rated health, life satisfaction, memory ability, child relationship, IADL disability, marital status, educational level, and gender. Urban-rural disparities in sleep quality, interpersonal trust, and child relationship continued to widen, while disparities in multimorbidity, hospitalization status, and frequency of family dinner continued to narrow.

LIMITATION

This study may exist recall bias and lacks causal explanation.

CONCLUSIONS

Significant and continuing disparities in the DS prevalence were observed between urban and rural elderly in China, showing opposite trends in younger and older elderly. The top 10 leading associated factors for DS were nearly consistent across urban and rural elderly, with sleep quality having strongest contribution. Urban-rural disparities in associated factors also showed different trends. This study provides a reference for mental health promotion among Chinese elderly.

Differences in the influence of daily behavior on health among older adults in urban and rural areas: evidence from China

Background

As the population of older adult in China keeps growing, the degree of aging is becoming increasingly serious and the health of older adults is a growing concern. Comparing the personal characteristics and health levels of urban and rural older adults and determining the relationship between these factors are of great significance in maintaining their health. In addition, exploring how these relationships differ between urban and rural areas is important.

Method

This study conducted a literature review to examine the impact of various factors on the physical and mental health of older adults in urban and rural areas in China. Moreover, based on cross-sectional data from the 2017 Chinese General Social Survey (CGSS), urban-rural differences in the factors' degree of influence on the perceived health of older adults were studied using multiple logistic regression.

Results

Regular physical exercise had a powerful protective effect on urban older adults' physical and mental health, whereas regular participation in social activities had a positive impact on rural older adults' health. Low income, low educational level, low social trust, lack of a partner, and having more than one child negatively affected the physical health of rural older people. Low socioeconomic status had a negative impact on rural people's health both in mind and body. Overall, the rural adults' health status was found to be relatively low and deserves more attention.

Conclusion

This study demonstrated that older people's physical and mental health levels can be significantly affected by the frequency of daily activities and individual and family characteristics. Furthermore, urban-rural differences were observed. These findings could provide feasible suggestions for governments, communities, and older adults' family members to help alleviate health inequality.

Prolonged grief disorder prevalence in adults 65 years and over: a systematic review

BACKGROUND

Prolonged grief disorder (PGD) is a recently recognised mental health disorder with an estimated prevalence of 10% in the bereaved adult population. This review aims to appraise and summarise evidence relating to PGD in older adults (≥65 years), a growing population group, most likely to experience bereavement and often assumed to cope well.

METHOD

Literature from Medline, PsycINFO, CINAHL, Cochrane Library and Web of Science was searched. Epidemiological and non-epidemiological studies including data on frequency of PGD in older adults bereaved by mainly natural causes were included and a descriptive analysis undertaken.

RESULTS

From 2059 records, three epidemiological and six non-epidemiological studies were included. Most studies had good internal but not external validity. Conditional prevalence for PGD ranged between 3.2% and 48.8%. Heterogeneity in sample characteristics and study methodology contributed to this variability resulting in a descriptive analysis. The prevalence rate of 9.1% by Kersting et al was the best available estimate for PGD in older adults for western countries. The small number of epidemiological studies and the use of varying PGD-constructs which did not match International Classification of Diseases 11th Revision and Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition criteria were the main limiting factors.

CONCLUSION

This first review on PGD prevalence in older adults suggests that, despite studies' methodological short comings, a similar proportion of older adults experience PGD as the general bereaved adult population (1:10). With older adults forming the largest subgroup among the bereaved, health and social care systems need to adapt their provision of care to address the specific needs of older adults.

The Nonlinear Relationship Between Body Mass Index (BMI) and Perceived Depression in the Chinese Population

Purpose

Existing studies on the association between BMI and depression report conflicting results with some demonstrating a positive relationship, while others a negative link or insignificant correlation. Very limited research on the nonlinear relationship between BMI and depression has yet to clarify the reliability and robustness of the potential nonlinearity and whether a more complex association exists. This paper aims to systematically investigate the nonlinear relationship between the two factors applying rigorous statistical methods, as well as explore the heterogeneity of their association.

Materials and Methods

A large-scale nationally representative dataset, Chinese General Social Survey, is used to empirically analyze the nonlinear relationship between BMI and perceived depression. Various statistical tests are employed to check the robustness of the nonlinearity.

Results

Results indicate that there is a U-shaped relationship between BMI and perceived depression, with the turning point (25.718) very close to while slightly larger than the upper limit of the range of healthy weight (18.500 ≤ BMI < 25.000) defined by World Health Organization. Both very high and low BMIs are associated with increased risk for depressive disorders. Furthermore, perceived depression is higher at almost all BMI levels among individuals who are older, female, lower educated, unmarried, in rural areas, belonging to ethnic minorities, non-Communist Party of China members, as well as those with lower income and uncovered by social security. In addition, these subgroups have smaller inflection points and their self-rated depression is more sensitive to BMI.

Conclusion

This paper confirms a significant U-shaped trend in the association between BMI and depression. Therefore, it is important to account for the variations in this relationship across different BMI categories when using BMI to predict depression risk. Besides, this study clarifies the management goals for achieving an appropriate BMI from a mental health perspective and identifies vulnerable subgroups at higher risk of depression.

Life course rural/urban place of residence, depressive symptoms and cognitive impairment among older adults: findings from the Longitudinal Aging Study in India

BACKGROUND

Given the unique socioeconomic structures, and the rural/urban differentials in the prevalence of mental illnesses in the country, this study aimed to explore the associations of childhood, adulthood and late-life rural/urban place of residence with mental health outcomes, namely depressive symptoms and cognitive impairment, among older adults in India. The study also examined the relationship between older individuals' life-course rural/urban place of residence and late-life mental and cognitive health.

METHODS

Utilizing data from the Longitudinal Aging Study in India (n = 28,027 older adults age 60 years and above), the study employed multivariable logistic and linear regression models to examine the association between urban/rural residential status, life-course residence, depressive symptoms and cognitive impairment among older adults.

RESULTS

Childhood and adulthood place of residence was not associated with depressive symptoms in older men and women. Current rural place of residence was positively associated with depressive symptoms in older women [adjusted odds ratio (aOR): 1.37, confidence interval (CI): 1.05-1.80] but not men. Childhood [aOR: 1.88, CI: 1.16-3.04], adulthood [aOR: 2.00, CI: 1.26-3.16] and current rural residence [aOR: 1.93, CI: 1.27-2.91] was positively associated with cognitive impairment in men. Only current rural residence [aOR: 1.71, CI: 1.29-2.27] was associated with cognitive impairment in women. There was no significant association between life-course place of residence and depressive symptoms except in case of lifetime rural residence Respondents with urban-urban-urban (childhood-adulthood-current) place of residence were less likely to have depressive symptoms [adjusted coefficient (aCoef.): -0.14, CI: -0.21- -0.07] compared to those with rural-rural-rural place of residence. There were significant associations between life-course residence and cognitive impairment except among rural-urban-rural and urban-rural-rural migrants, showing an urban advantage in cognitive function among older adults.

CONCLUSIONS

This study showed significant associations between life-course residence and depressive symptoms among permanent rural/urban residents. The study also showed significant associations between life-course residence and cognitive impairment except among rural-urban-rural and urban-rural-rural migrants. Considering the rural disadvantage in mental and cognitive health among older adults, the government should continue to support policies that can improve access to education and healthcare among people residing in rural areas and women, in particular. The findings also urge social scientists and gerontologists in particular, to consider the importance of lifetime historical context while evaluating mental and cognitive health of older persons.

Urban-Rural Differences in the Prevalence of Depressive Symptoms in Korean Adults

This study aimed to investigate the prevalence of depression among Koreans living in urban and rural areas, stratified by socioeconomic status. The study included 216,765 participants from the 2017 Korean Community Health Survey. Depressive symptoms were assessed using the PHQ-9, with a score of 10 or higher indicating depressive symptoms. Residences with the words Eup and Myeon in their addresses were categorized as rural areas, and residences with Dong in their addresses as urban areas. Socioeconomic status was evaluated by household income and education level. A Poisson regression analysis with sampling weights was conducted and adjusted for demographic, lifestyle, socioeconomic status, and comorbidity. The adjusted prevalence rate of depressive symptoms was 3.33% (95% CI, 3.21-3.45) in urban areas and 2.59% (95% CI, 2.43-2.74) in rural areas. The prevalence of depressive symptoms in urban areas was 1.29 times (95% CI, 1.20-1.38) higher than in rural areas. The prevalence rate ratio for depressive symptoms in urban areas compared to rural areas sorted by monthly incomes was 1.39 (95% CI, 1.28-1.51) for less than 2 million won, 1.22 (95% CI, 1.06-1.41) for 2 to 3.99 million won, and 1.09 (95% CI, 0.90-1.32) for more than 4 million won, and the urban-rural difference was more evident in lower household income subjects (p for interaction=0.033). However, urban-rural differences did not differ according to sex, age, or education level. In conclusion, we found urban-rural differences in depressive symptoms in a representative sample of Koreans, and revealed that these differences may vary according to income level. These results suggest that mental health policy must consider the health disparities according to residence and income.

Depression and Associated Factors Among Older Adults in a North Indian State: A Cross-Sectional Study

INTRODUCTION

India is currently experiencing a significant increase in its elderly population, and it is predicted to rise. Depression is prevalent among the elderly population. This study aimed at measuring the prevalence of depression among the elderly population in India.

METHODOLOGY

This cross-sectional study was conducted in both urban and rural regions of Delhi, with a total of 230 participants recruited through systematic random sampling. This sampling method involved selecting households from a comprehensive list. The Patient Health Questionnaire 9 (PHQ-9) was used as a screening tool for depression. Participants with a PHQ-9 score above 9 were considered to potentially experience depression.

RESULTS

The study findings revealed that 68.2% (95%CI: 61.8%-74.2%) of the total sample of 230 participants screened positive for depression. Gender (p = 0.02), age category (p < 0.01), place of residence (p < 0.01), and diabetes (p < 0.01) were significantly associated with depression.

CONCLUSION

The study found a high prevalence of depression among the elderly population, with females, urban dwellers, and those with a history of diabetes being significantly associated with depression. Early detection through screening programs and community-based interventions could help manage depression in this vulnerable group.

Association of Depression and Poor Mental Health With Cardiovascular Disease and Suboptimal Cardiovascular Health Among Young Adults in the United States

Background Depression is a nontraditional risk factor for cardiovascular disease (CVD). Data on the association of depression and poor mental health with CVD and suboptimal cardiovascular health (CVH) among young adults are limited. Methods and Results We used data from 593 616 young adults (aged 18-49 years) from the 2017 to 2020 Behavioral Risk Factor Surveillance System, a nationally representative survey of noninstitutionalized US adults. Exposures were self-reported depression and poor mental health days (PMHDs; categorized as 0, 1-13, and 14-30 days of poor mental health in the past 30 days). Outcomes were self-reported CVD (composite of myocardial infarction, angina, or stroke) and suboptimal CVH (≥2 cardiovascular risk factors: hypertension, hypercholesterolemia, overweight/obesity, smoking, diabetes, physical inactivity, and inadequate fruit and vegetable intake). Using logistic regression, we investigated the association of depression and PMHDs with CVD and suboptimal CVH, adjusting for sociodemographic factors (and cardiovascular risk factors for the CVD outcome). Of the 593 616 participants (mean age, 34.7±9.0 years), the weighted prevalence of depression was 19.6% (95% CI, 19.4-19.8), and the weighted prevalence of CVD was 2.5% (95% CI, 2.4-2.6). People with depression had higher odds of CVD than those without depression (odds ratio [OR], 2.32 [95% CI, 2.13-2.51]). There was a graded association of PMHDs with CVD. Compared with individuals with 0 PMHDs, the odds of CVD in those with 1 to 13 PMHDs and 14 to 30 PHMDs were 1.48 (95% CI, 1.34-1.62) and 2.29 (95% CI, 2.08-2.51), respectively, after adjusting for sociodemographic and cardiovascular risk factors. The associations did not differ significantly by sex or urban/rural status. Individuals with depression had higher odds of suboptimal CVH (OR, 1.79 [95% CI, 1.65-1.95]) compared with those without depression, with a similar graded relationship between PMHDs and suboptimal CVH. Conclusions Depression and poor mental health are associated with premature CVD and suboptimal CVH among young adults. Although this association is likely bidirectional, prioritizing mental health may help reduce CVD risk and improve CVH in young adults.

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSION

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

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

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

Physical function, ADL, and depressive symptoms in Chinese elderly: Evidence from the CHARLS

Background

Depressive symptoms are a serious public health problem that affects the mental health of older adults. However, current knowledge of the association between ADL disability and physical dysfunction and depressive symptoms in Chinese adults is insufficient. We intend to analyze the association between physical function, ADL, and depressive symptoms in older Chinese adults.

Methods

The data obtained from the China Health and Retirement Longitudinal Survey (2015 and 2018) (CHARLS). This includes 3,431 in 2015 and 3,258 in 2018 over the age of 60. Comparing 2015 and 2018 data, multivariate logistic regression models were used to explore the relationship between physical function, ADL, and depressive symptoms in urban and rural older adults, adjusting for sociodemographic factors associated with depression in older adults.

Results

The prevalence of depressive symptoms among older adults in China was 33.8 percent in 2015 and 50.6 percent in 2018. In baseline data from 2015 and 2018, residence, gender, marital status, drinking, physical function, ADL, and self-rated health were all found to be significantly associated with depressive symptoms in older adults. The differences in physical function, ADL and depressive symptoms among older adults in 2015 and 2018 were further analyzed based on urban and rural stratification. Both physical dysfunction and ADL disability were significantly associated with depressive symptoms in rural older adults in 2015 and 2018. And in urban areas, ADL was found to be significantly associated with depressive symptoms in urban older adults. Multivariate logistic regression analysis demonstrated that ADL disability was significantly associated with depressive symptoms among older adults in both urban and rural areas. Physical dysfunction was only significant in rural areas with depressive symptoms. The alpha level was instead set to 0.05 for all statistical tests.

Conclusion

Rural, female, 60-70 years of age, primary school or below, married, non-smoking, non-drinking, physical dysfunction, ADL disability and self-rated poor health make-up a higher proportion of depressed older adults. ADL disability and physical dysfunction were more likely to be associated with depressive symptoms in rural Chinese older adults. Therefore, the physical and mental health of rural elderly should be of concern. The rural older adults should receive additional support from the government and society.

Urbanization and depressive symptoms among middle-aged and older adults in China

Aims

Urbanization plays an important role in individuals' health. However, it is difficult to isolate healthy migrant effect between urbanization and health. This study examined the effects of urbanization on depressive symptoms and its possible pathways among Chinese middle-aged and older adults independent of the influence of health-selective migration.

Methods

Using the baseline survey of the China Health and Retirement Longitudinal Study, this study compared the depressive symptoms among three groups (urbanized rural residents, rural non-migrants and urban non-migrants). The 10-item Center for Epidemiologic Studies Depression Scale (CESD-10) short form was used to measure depressive symptoms. Logistic regression models and Structural Equation Model (SEM) were applied to examine the association between urbanization and depressive symptoms and the corresponding potential mechanisms.

Results

Our final sample contained 11,156 respondents with an average age of 58.91 (SD = 9.48), with 5,142 males (46.09%) and 6,014 females (53.91%). Compared with urbanized rural residents, rural residents were more likely to have depressive symptoms (OR = 1.19, 95% CI = 1.07, 1.32), and urban residents were associated with a decreased risk of depressive symptoms (OR = 0.81, 95% CI: 0.70, 0.94). A large proportion of the association between urbanization and depressive symptoms were mainly mediated by social participation, income and living conditions.

Conclusions

Planned urbanization had an independent impact on decreased depressive symptoms. Improvements in social participation, income and living conditions are the main drivers behind this relationship. Additionally, urbanization compensates for the negative impact of depressive symptoms from disadvantaged early life conditions, but it cannot eliminate the gap between urbanized rural people and urban non-migrants.

Impact of main residential locations on depressive symptoms among older adults in China: A Blinder-Oaxaca decomposition analysis

Background

With the development of urbanization in China, the scale of internal migration and the number of immigrants among older adults are increasing. This requires paying attention to the living conditions and environment of immigrants. Many studies note a gap in the prevalence of depressive symptoms among older adults living in different main residential locations. However, few studies have examined the extent to which main residential locations influence depressive symptoms among older adults. This study aims to quantify the effect of main residential locations on depressive symptoms.

Methods

For this study, we used data from the 2018 Chinese Longitudinal Health and Longevity Survey and randomly selected 8,210 individuals aged 65 years and older were from the community to determine the effect of main residential locations on depressive symptoms among older adults. We further used the Blinder-Oaxaca decomposition method to quantify the explanatory factors of depressive symptom gaps among older adults and to estimate the relative effect of individual characteristics on depressive symptoms.

Results

In this study, we noted significant differences in depressive symptoms among older adults in different main residential locations. Rural-urban migrants had higher depressive symptom scores (7.164). According to the Blinder-Oaxaca decomposition analysis, the high proportion of the depressive symptom gap can be explained by years of education, income, and exercise among different main residential locations groups. In addition, in the main parts of the explained differences, the proportions of the limitation of activities of daily living (2.28, 0.46, and -52.11%) showed opposite effects, while their share in different main residential locations groups varied widely.

Conclusion

Urbanization has resulted in more rural people moving to urban areas in China; Rural-urban migrants have the highest prevalence of depressive symptoms, which needs attention. Thus, there is an urgent need to integrate the health insurance and pension policy for urban and rural residents. This study provides a basis for formulating health policies and promoting the mental health of older adults in China as well as in low- and middle-income countries.

John P, Menec VH. Multimorbidity and depressive symptoms in older adults and the role of social support: Evidence using Canadian Longitudinal Study on Aging (CLSA) data

BACKGROUND

The rising prevalence of multimorbidity poses challenges to health systems globally. The objectives of this study were to investigate: 1) the association between multimorbidity and depressive symptoms; and 2) whether social support plays a protective role in this association.

METHODS

A prospective population-based cohort study was conducted to analyze baseline and 3-year follow-up data of 16,729 community dwelling participants aged 65 and above in the Canadian Longitudinal Study of Aging (CLSA). Multimorbidity was defined as having three or more chronic conditions. The 10-item Center for Epidemiologic Studies Depression scale (CESD-10) was used to measure depressive symptoms. The 19-item Medical Outcomes Study (MOS) Social Support Survey was employed to assess perceived social support. Multivariate logistic regression models were used to examine the association between multimorbidity, social support and depressive symptoms.

RESULTS

Multimorbidity was very common among participants with a prevalence of 70.6%. Fifteen percent of participants had depressive symptoms at baseline. Multimorbidity was associated with increased odds of having depressive symptoms at 3-year follow-up (adjusted odds ratio, aOR = 1.51, 95% CI 1.33, 1.71), and developing depressive symptoms by follow-up among those with no depressive symptoms at baseline (aOR = 1.65, 95% CI 1.42, 1.92). Social support was consistently associated with decreased odds of depressive symptoms, regardless of level of multimorbidity.

CONCLUSION

Multimorbidity was positively associated with depressive symptoms over time, but social support served as a protective factor. As a modifiable, protective factor, emphasis should be placed in clinical practice to assess social support and refer patients to appropriate services, such as support groups. Similarly, health policy should focus on ensuring that older adults have access to social support opportunities as a way to promote mental health among older adults. Community organizations that offer social activities or support groups play a key role in this respect and should be adequately supported (e.g., with funding).

The Effect of Depressive and Insomnia Symptoms in Quality of Life among Community-Dwelling Older Adults

The purpose of this study was to investigate the effects of depressive symptoms, insomnia symptoms, and comorbid depressive and insomnia symptoms on the quality of life among community-dwelling older adults in an urban area of central Greece. A cross-sectional study was conducted on 200 older adults (aged ≥ 60) collected from five Open Care Centers for Elderly People of the Municipality of Larissa, Greece. Data were obtained through a questionnaire that included demographic, socioeconomic, and health-related characteristics; the World Health Organization Quality of Life (WHOQoL)-Bref questionnaire; the Geriatric Depression Scale; and the Athens Insomnia Scale. The prevalences of depression, insomnia, and comorbid depression and insomnia were 28% (95% confidence interval (95% CI): 21.8-34.2%), 40.5% (95% CI: 33.7-47.3%), and 19% (95% CI: 13.5-24.5%), respectively. The mean WHOQoL-Bref score for all domains was approximately 14.50, with the highest mean value observed for psychological health (14.79 ± 2.60), followed by the physical health (14.49 ± 2.66), social relationships (14.39 ± 2.03), and environmental domains (14.32 ± 1.90). All WHOQoL-Bref domains were negatively correlated with depression and insomnia. Older adults with depressive symptoms, insomnia symptoms, and comorbid depressive and insomnia symptoms had lower scores in all quality of life dimensions compared with those without.

The impact of women's off-farm employment on depressive symptoms: Evidence from rural China

While China's economy has grown rapidly in recent decades, urban-rural inequalities in mental health have persisted, and depression is more prevalent among rural women. Using a nationally-representative survey data in China, this paper investigates the impact of women's off-farm employment on their depressive symptoms. Results from instrumental variable and individual fixed effects estimation show that women's participation in off-farm employment leads to a significant reduction in depressive symptoms. We further take into account the confounding effects of working conditions, and the main results are robust. Moreover, off-farm employment enhances women's mental health mainly through pathways including increased absolute income, higher self-perceived relative income, more frequent healthy behaviors, increased likelihood of health investment, and obtaining more formal social support. Further evidence suggests that the depression-reducing effect of off-farm employment is more effective for those with more severe depressive symptoms, middle-aged and elderly persons, and women with lower body mass index. The findings have important implications for preventing depressive disorders and improving mental health in China and other developing countries.

Association between quality of life, sleep quality and mental disorders in Iranian older adults

Aging as a major challenge can affect the development and growth of countries all around the world. This study aimed to identify the subgroups of the elderly based on the quality of life (Qol), sleep quality, and common mental disorders and assess the role of demographic characteristics on the membership of participants in each latent class. This cross-sectional study was conducted on 1064 people over the age of 60 years. The sample was selected through cluster sampling in northern Iran. All participants completed six sets of checklists and questionnaires. Data analysis was performed using latent class analysis. Three latent classes were identified; namely, (1) healthy (66.8%), (2) anxious and with poor sleep quality (28.6%), and unhealthy (4.6%). Being Female significantly increased the odds of membership in classes 2 and 3 compared to class 1. Furthermore, living in urban areas increased the odds of belonging to class 2 and class 3 compared to class 1. Illiteracy was also shown to increase the odds of being in class 3 in comparison to class 1. Results from the present indicate that the co-occurrence of health problems in 33.2% of the elderly was observed in various forms. The results of this study can be used in prioritizing health programs for the elderly and emphasizing high-risk groups.

The higher levels of self-reported satisfaction, the lower risk of depressive symptoms: Evidence from a nationwide cross-sectional study in China

Objectives

This study aimed to investigate the associations between several dimensions of self-reported satisfaction and the risk of depressive symptoms among Chinese middle-aged and older adults.

Methods

The China Health and Retirement Longitudinal Study (CHARLS) conducted a nationwide cross-sectional study of middle-aged and older adults. Depressive status was evaluated using the 10-item center for epidemiological studies depression scale (CESD-10), and self-reported life, health, marital status, parent-child relationship, and air quality satisfaction were adopted using Likert 5-point evaluation methods. A generalized linear model (GLM) was applied to explore the association between satisfaction and depression risk.

Results

A total of 13,978 Chinese people aged over 45 years old were included in this study, and 35.7% of the participants had depressive symptoms. The GLM analysis indicated that all dimensions of satisfaction were negatively associated with the risk of depressive symptoms. For each 1-point increase in life, health, marital status, parent-child relationship, and air quality satisfaction, the incidence of depressive symptoms decreased by 60.8% (odds ratio (OR) = 0.392; 95% confidence interval (CI): 0.370, 0.414), 56.3% (OR = 0.437; 95% CI: 0.418, 0.458), 41.8% (OR = 0.582; 95% CI: 0.555, 0.610), 37.2% (OR = 0.628; 95% CI: 0.596, 0.662), and 25.6% (OR = 0.744; 95% CI: 0.711, 0.778), respectively.

Conclusion

Higher satisfaction levels with life, health, marital status, parent-child relationship, and air quality are associated with a lower risk of depressive symptoms among middle-aged and older adults. Given the aging society and the increasing mental health problems of middle-aged and older adults in China, our study provides a comprehensive perspective for depression prevention and mental health improvement.

Worries about inadequate medical treatment in case of a COVID-19 infection: the role of social inequalities, COVID-19 prevalence and healthcare infrastructure

Background

This study investigates individual and regional determinants of worries about inadequate medical treatment in case of a COVID-19 infection, an important indicator of mental wellbeing in pandemic times as it potentially affects the compliance with mitigation measures and the willingness to get vaccinated. The analyses shed light on the following questions: Are there social inequalities in worries about inadequate medical treatment in case of a COVID-19 infection? What is the role of the regional spread of COVID-19 infections and regional healthcare capacities?

Methods

Based on data derived from the German Socioeconomic Panel (SOEP), a representative sample of the German population aged 18 years and over, we estimated multilevel logistic regression models with individual-level (level 1) and regional-level (level 2) variables. The regional variables of interest were (a) the number of COVID-19 infections, (b) the number of hospital beds as an overall measure of the regional healthcare capacities, and (c) the number of free intensive care units as a measure of the actual capacities for treating patients with severe courses of COVID-19.

Results

Women, older respondents, persons with migrant background and those with a lower socioeconomic status were more likely to report worries about inadequate medical treatment in case of a COVID-19 infection. Moreover, respondents with chronic illness, lower subjective health and those who consider COVID-19 as a threat for their own health were more likely to report worries. In addition, also regional characteristics were relevant. Worries were more common in poorer regions with higher COVID-19 infections and worse health infrastructure as indicated by the number of hospital beds.

Conclusions

The analysis not only indicates that several social groups are more concerned about inadequate medical treatment in case of a COVID-19 infection, but also highlights the need for considering regional-level influences, such as the spread of the virus, poverty rates and healthcare infrastructure, when analyzing the social and health-related consequences of the pandemic.

Functional status in rural and urban adults: The Canadian Longitudinal Study on Aging

PURPOSE

To document the prevalence of functional impairment in middle-aged and older adults from rural regions and to determine urban-rural differences.

METHODS

We have conducted a secondary analysis using data from an ongoing population-based cohort study, the Canadian Longitudinal Study on Aging (CLSA). We used a cross-sectional sample from the baseline wave of the "tracking cohort." The definition of rurality was the same as the one used in the CLSA sampling frame and based on the 2006 census. This definition includes rural areas, defined as all territory lying outside of population centers, and population centers, which collectively cover all of Canada. We grouped these into "Urban," "Peri-urban," "Mixed" (areas with both rural and urban areas), and "Rural," and compared functional status across these groups. Functional status was measured using the Older Americans Resource Survey (OARS) and categorized as not impaired versus having any functional impairment. Logistic regression models were constructed for the outcome of functional status and adjusted for covariates.

FINDINGS

No differences were found in functional status between those living in rural, mixed, peri-urban, and urban areas in unadjusted analyses and in analyses adjusting for sociodemographic and health-related factors. There were no rural-urban differences in any of the individual items on the OARS scales.

CONCLUSIONS

We found no rural-urban differences in functional status.

Risk factors for depression in the elderly: An umbrella review of published meta-analyses and systematic reviews

BACKGROUND

Depression has been identified as one of the leading causes of the disease burden worldwide. Identification of the potential factors that increased or decreased the risk of depression could be important to provide prevention strategies. We aimed to conduct an umbrella review of risk factors for depression in the elderly and assessed the credibility of evidence of the association between each factor and depression.

METHODS

We searched PubMed and Web of Science from 1990 to April 11, 2021 for articles investigating associations between potential factors and depression. For each association, we recalculated the summary effect size and 95% confidence intervals using random effects models. The 95% prediction interval and between-heterogeneity were also reported. For publication bias, small-study effect and excess of significance bias were assessed.

RESULTS

Twenty-five publications met the inclusion criteria, including twenty-two meta-analyses and three qualitative systematic reviews. Approximately 1,199,927 participants and 82 unique factors were reported. Two factors were rated as convincing evidence and four factors showed highly suggestive evidence. These risk factors were aspirin use, individuals aged 80 years and above, sleep disturbances and persistent sleep disturbances, hearing problem, poor vision, and cardiac disease.

LIMITATIONS

Most studies that we included were of low quality.

CONCLUSIONS

We found several risk factors for depression with different levels of evidence, in which aspirin use and individuals aged 80 years and above presented the strongest evidence. Further research is warranted to support other findings from this umbrella review using a large, well-designed cohort study.

Socio-Economic Development and Mental Health: Case Study of the Spanish Region of Aragon (2010-20)

Introduction

Considering health as a cross-cutting element of all public policies leads to rethinking its interactions with the environment in which people live. The collection of large volumes of data by public administrations offers the opportunity to monitor and analyze the possible associations between health and territory. The increase in the incidence and prevalence of mental health diseases, particularly depression, justifies the need to develop studies that seek to identify links with the socioeconomic and environmental setting.

Objective

The objective of this study is to explain the behavior of the depression in a mediterranean region of Northeastern Spain from an ecological and diachronic perspective.

Methods

We conducted a correlation and multivariate logistic regression analysis to identify explanatory factors of the prevalence of depression in 2010 and 2020 and in the variation rate. Potential explanatory factors are related to the socioeconomic status and to the territorial development level.

Results

The regression models retained both socioeconomic and territorial development variables as predictors of the prevalence in both years and in the variation rate. Rural areas seem to play a protective role against the prevalence.

Conclusion

It is under the territorial prism that epidemiological studies could offer useful guidelines for proactive decision-making. The integration of data on diseases and territory must be considered when developing policies for the creation of healthier environments and for directing health services with more specific resources to where they may be needed.

The role of rurality on factors associated with major depressive episode screening among Brazilian adults in a national household survey

BACKGROUND

Worldwide, depression is one of the leading causes of disability, contributing significantly to the global burden of disease. The aim of this study was to evaluate in Brazil the effect of living in rural or urban areas on the prevalence of major depressive episode (MDE), as well as the differences among associated factors in both contexts.

METHODS

Data from 60,202 adult residents from a household-based cross-sectional survey conducted in Brazil were analyzed. The prevalence of MDE, evaluated using PHQ-9, as well as the prevalence ratios between the categories of the independent variables were estimated. Multiple hierarchical Poisson regression analyses based on a theoretical model were reproduced for both rural and urban areas.

RESULTS

Residents of rural areas showed lower MDE prevalence (3.3% [95% CI: 2.9-3.9] vs. 4.2% [95% CI: 3.9-4.6], p < .05) and the effect of rurality remained even adjusted by potential confounders (PR = 0.8 [95% CI: 0.7-0.9]). Better education, social network, and access to health services were protective factors for both rural and urban areas, while previous diagnosis of depression, chronic diseases, and obesity were risk factors. Living in the northern region, being indigenous, presenting higher income and number of goods were protective factors only in rural areas. In urban areas, being younger and having an occupation were protective factors, whereas female sex and having some disability were risk factors.

CONCLUSIONS

Rural and urban areas differ not only in the prevalence of depression, but also in the way in which different factors influence its occurrence.