Impact of illiteracy on depression symptomatology in community-dwelling older adults

The effect of education level on depressive symptoms in Chinese older adults-parallel mediating effects of economic security level and subjective memory ability

BACKGROUND

Depression in older adults needs urgent attention. Increased education level may reduce depressive symptoms in older adults, and that economic security level and subjective memory ability may also have an impact on depressive symptoms in older adults, but the mechanisms between education level and depressive symptoms in older adults are unclear. This study endeavors to investigate the parallel mediating roles of economic security level and subjective memory ability between education level and depressive symptoms in older adults.

METHODS

A total of 4325 older adults people aged 60 years and above were selected from the China Family Panel Studies (CFPS) as the study population, and all data were analyzed using SPSS 25.0 software. Spearman correlation analysis was used to explore the correlation between the variables. Model 4 from the SPSS macro was used to assess the parallel mediating role of economic security level and subjective memory ability in the relationship between education level and depressive symptoms in older adults.

RESULTS

Education level, economic security level, and subjective memory ability were significantly associated with depressive symptoms in older adults (p < 0.01). Educational level was a negative predictor of depressive symptoms (β=-0.134, P < 0.001). Education level was a positive predictor of economic security level (β = 0.467, P < 0.001) and subjective memory ability (β = 0.224, P < 0.001). Education level, economic security level, and subjective memory ability were significant negative predictors of depressive symptoms (β= -0.039, P < 0.05; β= -0.122, P < 0.001; β= -0.169, P < 0.001). Education level influenced depressive symptoms through parallel mediating effects of economic security level and subjective memory ability, with mediating effects accounting for 42.70% and 28.30% of the total effect, respectively.

CONCLUSIONS

Education level not only directly influences depressive symptoms in older adults, but also indirectly through the economic security level and subjective memory ability. Educational level can reduce depressive symptoms in older adults by increasing their economic security level and enhancing their subjective memory ability. The findings of this study emphasize the importance of improving the educational level of the population as it affects people's mental health in old age.

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

OBJECTIVES

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

CLINICAL IMPLICATIONS

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

Modifiable risk factors of major depressive disorder: A Mendelian randomization study

Identifying modifiable risk factors early on is essential to prevent major depressive disorder (MDD). This study systematically investigated the causal relationship between 19 modifiable risk factors and MDD. Single-nucleotide polymorphisms (SNPs) associated with 19 potentially modifiable risk factors were screened via the genome-wide association study (GWAS) enrolling individuals of European descent. Summary-level data for MDD (59,851 cases and 113,154 controls) were extracted from the UK Biobank. The inverse-variance-weighted (IVW) method was utilized as the primary analysis. Sensitivity analyses were performed using the MR-Egger method, the Maximum likelihood method, the MR-pleiotropy residual sum outlier (MR-PRESSO) method, and MR-robust adjusted profile score (MR-RAPS) method. MR-Egger regression, heterogeneity tests, pleiotropy tests, and leave-one-out tests were also performed to analyze sensitivity. The MR Steiger test was used to verify the directionality of the exposure to the outcome. Genetically predicted smoking initiation increased the risk of MDD (P = 6.00E-09), while smoking status: never and past tobacco smoking decreased the risk of MDD (all P < 0.01). In addition, education level was inversely associated with MDD risk (all P < 0.01). Genetically instrumented sleeplessness/insomnia, daytime naps, and nap during the day were positively related to the risk of MDD (all P < 0.01). Personal feelings, including guilt, hurt, tension, and worry too long after an embarrassing experience, had a suggestive increased risk for MDD (all P < 0.000). The remaining five modifiable risk factors were all causally associated with the risk of MDD, including neuroticism, neuroticism scores, body mass index (BMI), average total household income before tax, and types of physical activity in the last 4 weeks (all P < 0.01). All 19 potentially modifiable risk factors were causally associated with the risk of MDD. The main hypothesis of this MR study was that identifying and intervening in these 19 potentially modifiable risk factors could be beneficial to the prevention and treatment of MDD and further reduce mortality and economic burden.

Risk factors for severity of depression in participants with chronic medical conditions in rural primary health care settings in India

Background

Depression and chronic medical disorders are strongly linked. There are limited studies addressing the correlates of the severity of depression in patients with co-morbid disorders in primary care settings. This study aimed to identify the socio-demographic and disease-specific risk factors associated with the severity of depression at baseline among patients participating in a randomized controlled trial (HOPE study).

Methods

Participants were part of a randomized controlled trial in 49 primary care health centers in rural India. We included adults (≥ 30 years) with at least mild Depression or Anxiety Disorder and at least one Cardiovascular disorder or Type 2 Diabetes mellitus. They were assessed for the severity of depression using the PHQ-9, severity of anxiety, social support, number of co-morbid chronic medical illnesses, anthropometric measurements, HbA1c, and lipid profile.

Results

Proportionately there were more women in the moderate category of depression than men. Ordinal logistic regression showed co-morbid anxiety and a lower level of education significantly increased the odds of more severe depression, while more social support was significantly negatively associated with depression severity in women. In men, anxiety was positively associated with greater depression severity; while reporting more social support was negatively associated with depression.

Limitations

This is a cross-sectional study and thus, no causal conclusions are possible.

Conclusions

Anxiety and poor social support in both genders and lower educational levels in women were associated with increased severity of depression. Early identification of risk factors and appropriate treatment at a primary care setting may help in reducing the morbidity and mortality associated with depression.

The influence of age, sex and education on the phenomenology of depressive symptoms in a population-based sample aged 75+ years with major depression: the Pietà Study

OBJECTIVES

Late-life depression (LLD) is the most common mental disorder among the elderly, but its clinical features remain unclear, especially among older adults. We sought to investigate if age, sex and education could influence the severity or frequency of LLD symptoms.

METHODS

We evaluated 639 community-dwelling individuals aged 75+ years in Caeté (MG), Brazil. We used the Mini International Neuropsychiatric Interview to diagnose major depression according to DSM-IV criteria and the GDS-15 to measure depression severity.

RESULTS

Excluding 174 individuals diagnosed with dementia, 54 (11.6%) of the remaining 457 individuals were diagnosed with LLD; 77.8% of which were female. On average, these participants were aged 81.0 ± 4.8 years and had 2.7 ± 3.3 years of schooling. Symptom severity was not influenced by sociodemographic variables. Death/suicidal ideation was more frequent among men, while psychomotor disturbance was more present in women (p = 0.04 and p = 0.042). More educated individuals (≥ 4 years) also reported a higher frequency of psychomotor disturbance (p = 0.039).

CONCLUSIONS

Severity of depressive episode was not influenced by sociodemographic variables. Sex and educational level had a significant impact on symptom profiles.

Health Literacy, Depression Literacy, and Depression among Older Korean Americans

The purpose of this study was to explore depression and its relationship with background characteristics, health literacy, and depression literacy among Korean Americans (KAs). A cross-sectional survey was conducted among 178 older KAs (age 60≥) in the Washington D.C. metro area in 2016. Three open-ended questions were included to obtain narrative responses for thoughts about depression and its symptoms, and the living situation that might be related to depression. Depression was measured on the Patient Health Questionnaire-9 translated into Korean. The rate of depression was 22.5% among older KAs. No relationship between health literacy and depression was shown. In the regression analysis with covariates, limited English proficiency, less family support, shorter length of U.S. residency, male, and higher depression literacy were significantly associated with higher odds of depression. On narrative questions, only 35% among respondents believed that depression was a mental status. The others described it as environmental or attitude problems such as stress or goals being set too high. Education about depression engaging older KAs immigrants with limited English, and their families are the important health issue in the Korean community.

Prevalence of late-life depression and its correlates in a community-dwelling low-educated population aged 75+ years: The Pietà study

BACKGROUND

The number of individuals with advanced age is growing worldwide, especially in developing countries. Depression is the most common mental disorder in the elderly. The aim of this study was to evaluate the prevalence rates and the correlates of late-life depression (LLD) and clinically significant depressive symptoms (CSDS) in a population aged 75+ years.

METHODS

We evaluated 639 community-dwelling individuals aged 75+ years in Caeté (MG), Brazil, and used the MINI to diagnose LLD according to DSM-IV criteria and the GDS-15 to identify CSDS. Quality of life was assessed by the WHOQOL-OLD scale.

RESULTS

Overall, 639 individuals (64% female, with a mean age of 81.1 ± 5.2 and 2.6 ± 2.8 years of schooling) were evaluated; 70 (11.1%) were diagnosed with LLD and 146 (25.6%) with CSDS. Depressed subjects (both with LLD and CSDS) had poorer measures of quality of life. Logistic regression analyses showed that LLD was independently associated to a history of falls/fracture, a diagnosis of cognitive impairment-no dementia, the number of regular drugs used, lack of reading habit and, inversely, to systolic blood pressure.

LIMITATIONS

The use of MINI which has not been validated in the elderly. No information was available on the number of previous depressive episodes or on the age of first episode.

CONCLUSION

Both dimensional and categorical diagnoses of depression were prevalent among community-dwelling oldest-old individuals. Different clinical and personal variables were associated with depression, which negatively influenced the quality of life of the affected individuals.

Risk factors of geriatric depression in rural China based on a generalized estimating equation

ABSTRACTBackground:The number of elderly individuals living in China is increasing rapidly. The aim of this study was to examine the potential risk factors of geriatric depression in rural areas.

METHODS

A repeated cross-sectional study was conducted between January 2015 and October 2016 in rural China. Nine hundred forty-five elderly individuals were included in both investigations. A generalized estimating equation (GEE) was used to examine the relationships between geriatric depression and socio-demographics, the number of chronic diseases, ADL (Activity of Daily Living) disability, cognitive impairment, and anxiety.

RESULTS

Among the participants, the majority was female (61.4%) and illiterate (81.5%) and had a general economic status (63.0%) and more than two kinds of chronic diseases (62.9%). The bivariate analysis indicated that geriatric depression was associated with social support, education level, economic status, ADL disability, anxiety disorders, and cognitive impairment at both survey time points. The GEE results showed that poor economic status (OR = 8.294, p < 0.001), the presence of more than two chronic diseases (OR = 1.681, p = 0.048), ADL disability (OR = 2.184, p < 0.001), cognitive impairment (OR = 1.921, p < 0.001), and anxiety (OR = 5.434, p < 0.001) were risk factors for geriatric depression in rural China; better social support (OR = 0.924, 95% CI = 0.899-0.949, p < 0.001) was found to be a protective factor.

CONCLUSIONS

Geriatric depression in rural China was associated with several socio-demographic, physical, and mental factors. Targeted interventions are essential to improve the psychological health of aged individuals in rural China.

Factors associated with and prevalence of depressive features amongst older adults in an urban city in eastern China

Background

Mental health problems have become serious for older Chinese adults who have lived through the process of urbanisation. This current research aimed to determine the prevalence of and associated factors for depressive features in a community-based sample of older adults in China.

Methods

A community-based survey of 4077 adults aged 60 or older was conducted in Suzhou, China. Information including demographic characteristics, health behaviours, social support, disease histories and physical function was collected using a pre-designed questionnaire. Depressive features were assessed using the self-rating depression scale. Multivariate logistic regression analysis was performed to identify associated factors for depression.

Results

The overall prevalence of depressive features in the surveyed population was 47.4% (45.9% in men and 48.5% in women). In a multiple logistic regression analysis, the significant variables of depressive features were no fixed occupation (odds ratio [OR] = 0.28; 95% confidence interval [CI]: 0.21–0.37), doing non-technical and service work (OR = 0.23; 95% CI: 0.19–0.28) or being a manager and technical personnel (OR = 0.25; 95% CI: 0.19–0.32), physical activities (OR = 0.71; 95% CI: 0.61–0.82), never taking dietary supplements (OR = 0.73; 95% CI: 0.58–0.91), not having hobbies (OR = 1.34; 95% CI: 1.15–1.56), never interacting with neighbours (OR = 1.79; 95% CI: 1.28–2.50), cold relationship with a spouse (OR = 3.34; 95% CI: 1.18–9.45) and limited activities of daily living (OR = 2.27; 95% CI: 1.91–2.69).

Conclusion

There is an urgent need for public policy interventions to address depression in elderly people located in Suzhou in China.

The mediation effect of health literacy between subjective social status and depressive symptoms in patients with heart failure

OBJECTIVES

Depressive symptoms are prevalent and cause adverse outcomes in heart failure. Previous studies have linked depressive symptoms with socioeconomic status. However, little is known about the mechanisms underlying this relationship. This study aimed to evaluate the association between socioeconomic status and depressive symptoms, and to examine whether access to healthcare, health literacy and social support mediated this relationship in patients with heart failure.

METHODS

Cross-sectional design was used to study 321 patients with heart failure recruited from a general hospital. Demographics, clinical data, depressive symptoms, socioeconomic status (i.e., education, employment, income, and subjective social status), access to healthcare, health literacy, and social support were collected by patient interview, medical record review or questionnaires. A series of logistic regressions and linear regressions were conducted to examine mediation.

RESULTS

The mean age of patients with heart failure was 63.6±10.6years. Fifty-eight patients (18%) had depressive symptoms. Lower subjective social status (OR=1.321, p=0.012) and lower health literacy (OR=1.065, p<0.001) were separately associated with depressive symptoms. When subjective social status and health literacy were entered simultaneously, the relationship between subjective social status and depressive symptoms became non-significant (OR=1.208, p=0.113), demonstrating mediation. Additionally, lower social support was associated with depressive symptoms (OR=1.062, p=0.007).

CONCLUSIONS

In patients with heart failure, health literacy mediated the relationship between subjective social status and depressive symptoms. Lower social support was associated with depressive symptoms. Interventions should take these factors into account.