Multimorbidity and depression among older adults in India: Mediating role of functional and behavioural health

Cross-national statistical harmonization of the Center for Epidemiologic Studies Depression (CES-D) scale among older adults in China, England, India, Mexico, South Africa, and the United States

OBJECTIVES

We examined differential item functioning (DIF) of the Center for Epidemiologic Studies Depression Scale (CES-D) items by country and statistically harmonized common cross-national factor scores for the CES-D to aid further cross-national research.

STUDY DESIGN AND SETTING

Data were from Harmonized Cognitive Assessment Protocol (HCAP) studies in China (N = 9639), England (N = 1262), India (N = 4048), Mexico (N = 1918), South Africa (N = 631), and the United States (N = 3321). Multiple indicators, multiple causes models were estimated to test DIF in the CES-D items by country. DIF items were defined as having an odds ratio (OR) outside the range of 0.75-1.25 in multiple indicators, multiple causes models. We evaluated DIF impact and identified salient DIF by examining whether the difference between DIF-adjusted factor scores and non-DIF-adjusted factor scores exceeded a threshold of 0.30 standard deviation (SD) units. Confirmatory factor analysis was used to create DIF-adjusted, cross-nationally harmonized CES-D factor scores.

RESULTS

Controlling for underlying depressive symptoms, HCAP participants in India had higher odds of reporting being not hopeful about future (OR = 1.38, 95% confidence interval [CI]: 1.34-1.42), not enjoying life (OR = 1.43, 95% CI: 1.38-1.48), and being unhappy (OR = 1.29, 95% CI: 1.25-1.34), compared to HCAP participants in the United States. These identified DIF items artificially increased mean harmonized CES-D factor scores by 0.48 SD units in the India HCAP, with over 50% of the factor scores increased by over 0.30 SD units, indicating salient DIF in the India HCAP.

CONCLUSION

Our findings demonstrate cross-national heterogeneity in the expression of depressive symptoms. We provide DIF-adjusted CES-D factor scores to improve the quality of cross-national comparisons in aging research.

Machine learning algorithms to predict depression in older adults in China: a cross-sectional study

Objective

The 2-fold objective of this research is to investigate machine learning's (ML) predictive value for the incidence of depression among China's older adult population and to determine the noteworthy aspects resulting in depression.

Methods

This research selected 7,880 older adult people by utilizing data from the 2020 China Health and Retirement Longitudinal Study. Thereafter, the dataset was classified into training and testing sets at a 6:4 ratio. Six ML algorithms, namely, logistic regression, k-nearest neighbors, support vector machine, decision tree, LightGBM, and random forest, were used in constructing a predictive model for depression among the older adult. To compare the differences in the ROC curves of the different models, the Delong test was conducted. Meanwhile, to evaluate the models' performance, this research performed decision curve analysis (DCA). Thereafter, the Shapely Additive exPlanations values were utilized for model interpretation on the bases of the prediction results' substantial contributions.

Results

The range of the area under the curve (AUC) of each model's ROC curves was 0.648-0.738, with significant differences (P < 0.01). The DCA results indicate that within various probability thresholds, LightGBM's net benefit was the highest. Self-rated health, nighttime sleep, gender, age, and cognitive function are the five most important characteristics of all models in terms of predicting the occurrence of depression.

Conclusion

The occurrence of depression among China's older adult population and the critical factors leading to depression can be predicted and identified, respectively, by ML algorithms.

Faecal intestinal permeability and intestinal inflammatory markers in older adults with age-related disorders: A systematic review and meta-analysis

This systematic review and meta-analysis appraised previous findings to uncover potential faecal intestinal permeability and intestinal inflammatory markers in older adults. A comprehensive literature search led to the identification of ten eligible studies with findings of potential faecal intestinal permeability (zonulin and alpha-1-antitrypsin) and intestinal inflammatory markers [calprotectin, lactoferrin and neutrophil gelatinase-associated lipocalin (NGAL)]. Most of the cases (n > 2) [Parkinson's disease (PD) and Alzheimer's disease (AD)] exhibited higher faecal alpha-1-antitrypsin, zonulin and calprotectin levels. The present meta-analysis confirmed significantly higher faecal alpha-1-antitrypsin in older persons with PD compared to non-PD [MD = 22.92 mg/dL; 95 % CI = 14.02-31.81, p < 0.00001; I2 = 0 % (p = 0.73)]. There was, however, no significant difference in faecal zonulin between PD and non-PD individuals [MD = 26.88 ng/mL; 95 % CI = -29.26-83.01, p = 0.35; I2 = 94 % (p < 0.0001)]. Meanwhile, faecal calprotectin was higher in older adults with GI symptoms, multiple system atrophy (MSA) or PD than the healthy controls [MD = 9.51 μg/g; 95 % CI = 0.07-18.95, p = 0.05; I2 = 84 % (p < 0.00001)]. Altogether, faecal calprotectin appears to be a potential intestinal inflammatory marker whereas previous findings on faecal alpha-1-antitrypsin as an intestinal permeability marker remain limited and require further validation.

Determining the Prevalence of Depression and Assessing Health-seeking Behavior among the Geriatric Population in Urban Slums of Sea Coast City of Saurashtra Region of Gujarat in India: A Community-based Cross-sectional Study

Background

The elderly are disproportionately affected by depression, a devastating mental health illness that is common and causes significant impairment and a poor quality of life. In a community setting in India, this study sought to evaluate the prevalence of depression, degrees of associated disability, healthcare use patterns, health-seeking behavior, and awareness of government initiatives of mental health and care for the elderly.

Objectives

This study was aimed to determine the prevalence of depression and to assess the health-seeking behavior among the geriatric population aged ≥60 years in the study area during the study period.

Methodology

A cross-sectional community study including 450 senior citizens aged ≥60 years living in urban slums was carried out. Data were collected through structured interviews, utilizing the Geriatric Depression Scale using 30 items for assessing depression, the Sheehan Disability Scale for evaluating disability levels, and questionnaires on healthcare utilization, health-seeking behavior, and knowledge of government programs.

Results

The prevalence of depression was high, with 129 (28.67%) participants suffering from mild depression and 33 (7.33%) from severe depression. Moderate to marked disruptions in their work (17, 51.52%), social life/leisure pursuits (24, 72.73%), and social responsibilities (family life) (27, 51.52%) were reported in a significant proportion of those with severe depression. Additionally, a substantial percentage reported feeling impaired and unproductive for most days of the week (P < 0.001). While the majority (358, 79.56%) visited healthcare providers, with 333 (93.02%) visiting government providers and 330 (92.18%) visiting community-level providers, the utilization of mental health services (10, 2.79%) and treatment for depression with antidepressants (7, 4.32%) was minimal. In addition, just 26 people (5.78%) and 3 people (0.67%) knew about the National Programme for Health Care of the Elderly and the Mental Healthcare Act of 2017, respectively, indicating a lack of knowledge regarding government initiatives pertaining to mental health and geriatric care.

Conclusion

The study highlights the significant burden of depression, associated disabilities, and inadequate health-seeking behavior among the elderly population in the study setting. Efforts should focus on strengthening community-based mental health services, improving awareness and access to existing health services and government programs and addressing the various risk factors responsible for the emergence and persistence of depression, and poor health-seeking behavior in the aforementioned vulnerable group.

Association between depressive symptoms and social support in a nationally representative sample of older adults (ELSI-Brasil)

OBJECTIVE

To investigate the association between depressive symptoms and social support among a representative sample of the Brazilian population aged 50 years or older.

METHODS

Cross-sectional study of 8,074 participants of the second wave of the Brazilian Longitudinal Study on Aging (ELSI-Brasil). Depressive symptoms were screened with the Center for Epidemiologic Studies Depression Scale (CES-D8) instrument, and social support was investigated in its structural and functional dimensions. Sociodemographic variables and health conditions were considered for adjustment in investigating the association between social support and depressive symptoms using the Poisson regression model.

RESULTS

The prevalence of depressive symptoms was estimated at 19.1% (95%CI 16.7-21.7). In the analysis adjusted for possible confounding factors, depressive symptoms were independently associated with negative social support in the items "not married" (prevalence ratio [PR] = 1.24; 95%CI 1.07-1.44), "not having someone to trust" (PR = 1.31; 95%CI 1.10-1.56) and "not having someone to borrow money or an object from, in case of need" (PR = 1.46; 95%CI 1.21-1.75).

CONCLUSION

The present findings highlight the importance of social relations in determining the presence of depressive symptoms and reinforce the need to implement public policies aimed at strengthening social networks to minimize this public health problem.

Multimorbidity, health Literacy, and quality of life among older adults in an urban slum in India: a community-based cross-sectional study

BACKGROUND

India is experiencing a rising burden of chronic disease multimorbidity due to an aging population and epidemiological transition. Older adults residing in urban slums are especially vulnerable due to challenges in managing multimorbidity amid deprived living conditions. This study aimed to assess the prevalence of multimorbidity, associated health literacy, and quality of life impact in this population.

METHODS

A community-based cross-sectional study was conducted among 800 adults aged ≥ 65 years in an urban slum in Gujarat, India. Data on sociodemographics, physical and mental health conditions, health literacy (HLS-SF-47), quality of life (Short Form-12 scale), and social determinants of health were collected. Multimorbidity is ≥ 2 physical or mental health conditions in one person.

RESULTS

The prevalence of multimorbidity was 62.5% (500/800). Multimorbidity was significantly associated with lower physical component summary (PCS) and mental component summary (MCS) scores on the SF-12 (p < 0.001). After adjusting for sociodemographic variables, the odds ratio of 0.81 indicates that for every 1 unit increase in the health literacy score, the odds of having multimorbidity decrease by 19%. Older age within the older adult cohort (per year increase) was associated with greater odds of multimorbidity (AOR 1.05, 95% CI 1.02-1.09). Physical inactivity (AOR 1.68, 95% CI 1.027-2.77) and lack of social support (AOR 1.57, 95% CI 1.01-2.45) also increased the likelihood of multimorbidity.

CONCLUSION

There is a substantial burden of multimorbidity among urban slum dwellers aged ≥ 65 years in India, strongly linked to modifiable risk factors like poor health literacy and social determinants of health. Targeted interventions are essential to alleviate this disproportionate burden among urban slum older adults.

Experiences and challenges of people living with multiple long-term conditions in managing their care in primary care settings in Kerala, India: A qualitative study

BACKGROUND

Multimorbidity or multiple long-term conditions (MLTCs), the coexistence of two or more chronic conditions within an individual, presents a growing concern for healthcare systems and individuals' well-being. However, we know little about the experiences of those living with MLTCs in low- and middle-income countries (LMICs) such as India. We explore how people living with MLTCs describe their illness, their engagements with healthcare services, and challenges they face within primary care settings in Kerala, India.

METHODS

We designed a qualitative descriptive study and conducted in-depth, semi-structured interviews with 31 people (16 males and 15 females) from family health centres (FHCs) in Kerala. Interview data were recorded, transcribed, and thematic analysis using the Framework Method was undertaken.

FINDINGS

Two main themes and three sub-themes each were identified; (1) Illness impacts on life (a)physical issues (b) psychological difficulties (c) challenges of self-management and (2) Care-coordination maze (a)fragmentation and poor continuity of care (b) medication management; an uphill battle and (c) primary care falling short. All participants reported physical and psychological challenges associated with their MLTCs. Younger participants reported difficulties in their professional lives, while older participants found household activities challenging. Emotional struggles encompassed feelings of hopelessness and fear rooted in concerns about chronic illness and physical limitations. Older participants, adhering to Kerala's familial support norms, often found themselves emotionally distressed by the notion of burdening their children. Challenges in self-management, such as dietary restrictions, medication adherence, and physical activity engagement, were common. The study highlighted difficulties in coordinating care, primarily related to traveling to multiple healthcare facilities, and patients' perceptions of FHCs as fit for diabetes and hypertension management rather than their multiple conditions. Additionally, participants struggled to manage the task of remembering and consistently taking multiple medications, which was compounded by confusion and memory-related issues.

CONCLUSION

This study offers an in-depth view of the experiences of individuals living with MLTCs from Kerala, India. It emphasizes the need for tailored and patient-centred approaches that enhance continuity and coordination of care to manage complex MLTCs in India and similar LMICs.

Inter- and intrapopulation differences in the association between physical multimorbidity and depressive symptoms

BACKGROUND

The association between physical multimorbidity and depression differs by populations. However, no direct inter- or intrapopulation comparison of the association has been conducted. Thus, this study aims to estimate the association in China and the United States and reveal inter- and intrapopulation differences in the association.

METHODS

Middle-aged and older adults from the China Health and Retirement Longitudinal Study and the Health and Retirement Study were included. Physical multimorbidity was defined as the simultaneous presence of two or more chronic physical conditions and depressive symptoms was measured by the Center for Epidemiologic Studies Depression Scale. Generalized estimating equation model and stratification multilevel method were the main statistical models.

RESULTS

The presence of physical multimorbidity was associated with a higher risk of depression in both China (RR = 1.360 [95 % CI: 1.325-1.395]) and the US (RR = 1.613 [95 % CI: 1.529-1.701]). For individuals at a low risk of multimorbidity, multimorbidity was associated with 47.4 % (95 % CI: 1.377-1.579) and 71.1 % (95 % CI: 1.412-2.074) increases in the likelihood of depression in China and the US. The effect size was smaller for individuals at a moderate or high risk. However, the cross-national differences were greater for those with a high risk of multimorbidity.

LIMITATIONS

The self-report measures, attribution bias.

CONCLUSIONS

Compared to Chinese adults, the presence of physical multimorbidity led to an additional increase in depressive symptoms for American counterparts. The association was stronger for individuals at a low risk of multimorbidity, but cross-national differences were observed mostly among individuals at a high risk.

Characterizing Multimorbidity Prevalence and Adverse Outcomes in Ethnically and Culturally Diverse Sub-Populations in India: Gaps, Opportunities, and Future Directions

India is a large middle-income country and has surpassed China in overall population, comprising 20% of the global population (over 1.43 billion people). India is experiencing a major demographic shift in its aging population. Chronic diseases are common among older adults and can be persistent over the life course, lead to the onset of disability, and be costly. Among older adults in India, the existence of multiple comorbid chronic conditions (i.e., multimorbidity) is rapidly growing and represents a burgeoning public health burden. Prior research identified greater rates of multimorbidity (e.g., overweight/obesity diabetes, hypertension, cardiovascular disease, stroke, and malignancies) in minority populations in the United States (U.S.); however, limited studies have attempted to characterize multimorbidity among older adult sub-populations residing in India. To address this gap, we conducted a narrative review of studies on multimorbidity using the data from the Longitudinal Aging Study of India (LASI), the largest nationally representative longitudinal survey study of adults in India. Our definition of multimorbidity was the presence of more than two conditions in the same person. Our findings, based on 15 reviewed studies, aim to (1) characterize the definition and measurement of multimorbidity and to ascertain its prevalence in ethnically and culturally diverse sub-populations in India; (2) identify adverse outcomes associated with multimorbidity in the Indian adult population; and (3) identify gaps, opportunities, and future directions.

Association of perceived childhood socio-economic status and health with depressive symptoms among middle-aged and older adults in India: using data from LASI Wave I, 2017-2018

BACKGROUND

Childhood adverse experience has been linked with poor health outcomes across the life course. Nevertheless, whether such an association or direction could be projected to older people's life remains still unclear and needs to generate more evidence, particularly in India. Therefore, this study was conducted to examine the association of childhood socio-economic status and health with depressive symptoms amongst middle- aged and older adults in India.

METHODS

The data for the study was drawn from national representative survey "Longitudinal Ageing Study in India (LASI)" Wave I, 2017-2018 in order to conduct cross-sectional study. Multivariable regression analysis was used to examine the association of childhood socioeconomic status and health with depressive symptoms in the older population.

RESULTS

Poor childhood health was significantly and positively associated with depressive symptoms (AoR: 1.56, CI: 1.19, 2.04). Likewise, respondents who were bedridden for a month during their childhood had high odds of developing depressive symptoms (AoR: 1.16 CI: 1.01, 1.34). In addition to this, the odds of having depressive symptoms increased significantly among the average (AoR: 1.28 CI: 1.08, 1.51) and poor childhood socioeconomic status group (AoR: 1.31 CI: 1.11, 1.55) as compared to the higher socioeconomic category.

CONCLUSIONS

Childhood socioeconomic status and health have a significant role in determining mental health in later life. Results suggest that considering childhood socioeconomic status and health is important while diagnosing depression in older population in order to identify the significant associated factors in early childhood and thus help in preventing depressive symptoms in later life.

Gender-specific association of the accumulation of chronic conditions and disability in activities of daily living with depressive symptoms

BACKGROUND

In the era of rapid aging with a rising prevalence of multimorbidity, complex interactions between physical and psychological conditions have challenged the health care system. However, little is known about the association of the accumulation of chronic conditions and disability in activities of daily living with depressive symptoms, especially in developed countries.

METHODS

This population-based cohort study used data from the Health and Retirement Study. A total of 22,335 middle-aged and older adults participated in the 2014 (T1), 2016 (T2), and 2018 (T3) waves of the cohort were included. The accumulation of chronic conditions and disability were defined as the number of chronic diseases and the five activities of daily living. Depressive symptoms were measured by the Center for Epidemiologic Studies Depression Scale. A longitudinal mediation model with a cross-lagged panel model was run. As robust check, the models were applied with a longer follow-up period (from 2012 to 2018). Additionally, results were estimated in China.

RESULTS

Bidirectional associations have been found among the accumulation of chronic conditions, disability, and depressive symptoms, especially between disability and depression. Disability (T2) mediated 11.11 % and 16.87 % of the association between the accumulation of chronic conditions (T1) and depression (T3) for men and women in the United States. The results were consistent in robust analysis.

CONCLUSIONS

This study found that men and women routinely experienced disability and depressive symptoms because of the accumulation of chronic conditions. In terms of depressive symptoms, women were more sensitive to the accumulation of chronic conditions through disability.

Prevalence of depression and clinical depressive symptoms in community-dwelling older adults with cognitive frailty

AIM

The present study determines the prevalence of depression and the extent of clinical depression symptoms among community-dwelling older adults with cognitive frailty and its associated factors.

METHODS

A total of 755 older adults aged ≥60 years were recruited. Their cognitive performance was determined using the Clinical Dementia Rating. Fried's criteria was applied to identify physical frailty, and the Beck Depression Inventory assessed their mental states.

RESULTS

A total of 39.2% (n = 304) of the participants were classified as cognitive frail. In this cognitive frail subpopulation, 8.6% (n = 26) had clinical depressive symptoms, which were mostly somatic such as disturbance in sleep pattern, work difficulty, fatigue, and lack of appetite. Older adults with cognitive frailty also showed significantly higher depression levels as compared with the noncognitive frail participants (t (622.06) = -3.38; P = 0.001). There are significant associations between depression among older adults with cognitive frailty and multimorbidity (P = 0.009), polypharmacy (P = 0.009), vision problems (P = 0.046), and hearing problems (P = 0.047). The likelihood of older adults with cognitive frailty who experience impairments to their vision and hearing, polypharmacy, and multimorbidity to be depressed also increased by 2, 3, 5, and 7-fold.

CONCLUSIONS

The majority of the Malaysian community-dwelling older adults were in a good mental state. However, older adults with cognitive frailty are more susceptible to depression due to impairments to their hearing and vision, multimorbidity, and polypharmacy. As common clinical depressive symptoms among older adults with cognitive frailty are mostly somatic, it is crucial for health professionals to recognize these and not to disregard them as only physical illness. Geriatr Gerontol Int 2024; 24: 225-233.

Chronic disease and multimorbidity in the Chinese older adults' population and their impact on daily living ability: a cross-sectional study of the Chinese Longitudinal Healthy Longevity Survey (CLHLS)

BACKGROUND

Owing to an increase in life expectancy, it is common for the older adults to suffer from chronic diseases that can result in disability and a low quality of life. This study aimed to explore the influence of chronic diseases and multimorbidities on activities of daily living (ADLs) and instrumental ADLs (IADLs) in an older Chinese population.

METHODS

Based on the Chinese Longitudinal Healthy Longevity Survey (2018), 9,155 older adults aged 65 years and above were included in the study. A self-administered questionnaire was used to collect information on demographic characteristics, chronic diseases, ADLs, and IADLs. The impact of factors affecting ADL and IADL impairment in older adults was analysed using binary logistic regression.

RESULTS

In total, 66.3% participants had chronic diseases. Hypertension, heart disease, arthritis, diabetes and cerebrovascular disease were among the top chronic diseases. Of these, 33.7% participants had multimorbidities. The most common combination of the two chronic diseases was hypertension and heart disease (11.2%), whereas the most common combination of the three chronic diseases was hypertension, heart disease, and diabetes (3.18%). After categorising the older adults into four age groups, dementia, visual impairment, and hearing impairment were found to be more prevalent with increasing age. The prevalence of hypertension, heart disease, cerebrovascular disease, gastrointestinal ulcers, arthritis and chronic nephritis gradually increased with age until the age of 75 years, peaked in the 75-84 years age group, and then showed a decreasing trend with age. Multimorbidity prevalence followed a similar pattern. Regression analysis indicated that the increase in age group and the number of chronic diseases independently correlated with impairments in ADL as well as IADL. Additionally, gender, physical activity, educational background, obesity, depressive symptoms, and falls also had an impact on ADLs or IADLs.

CONCLUSION

Chronic diseases and multimorbidities are common in older adults, and it is important to note that aging, multimorbidity, obesity, and unhealthy lifestyle choices may interfere with ADLs or IADLs in older adults. Therefore, it is imperative that primary healthcare providers pay special attention to older adults and improve screening for multimorbidity and follow-up needs.

Decomposing the rural-urban differences in depression among multimorbid older patients in India: evidence from a cross-sectional study

BACKGROUND

In India, the prevalence of depression among older adults dealing with multiple health conditions varies between rural and urban areas due to disparities in healthcare access and cultural factors. The distinct patterns observed underscore the necessity for tailored research and interventions to address mental health inequalities among multimorbid older patients in diverse geographic contexts.

METHODS

This study used data from the Longitudinal Ageing Study in India (LASI) wave 1 (2017-18). A total of 7,608 adults aged ≥ 60 years who were diagnosed with two or more chronic conditions (such as hypertension, diabetes, cancer, chronic lung disease, chronic heart diseases, stroke, bone/joint disease, any neurological or psychiatric diseases, and high cholesterol) were included in this study. Descriptive statistics, bivariate analysis, logistic regression estimates, and Fairlie decomposition method were used to accomplish the study's objectives.

RESULTS

The prevalence of depression among older adults with multimorbidity was 9.48% higher in rural areas (38.33%) than in urban areas (28.85%).. Older adults with multimorbidity belonging to the scheduled caste group were 40% more likely to experience depression. Moreover, those with multimorbidity and any form of disability in activities of daily living (ADL) were 93% more likely to experience depression than those without disability, whereas those with multimorbidity and perceived good general health were 65% less likely to suffer from depression than those with poor self-perceived health. Additionally, decomposition analysis revealed that education (35.99%), caste status (10.30%), IADL disability (19.30%), and perceived discrimination (24.25%) were the primary factors contributing to the differences in depression prevalence among older adults with multimorbidity between rural and urban areas.

CONCLUSIONS

We found significant rural-urban differences in depression among older Indians with multimorbidity. The findings underscore the need for targeted interventions that address the unique challenges faced by older patients in rural areas, including lack of social capital, discrimination, and limited resources that enable access to healthcare services. Policymakers and healthcare professionals must collaboratively design and implement effective strategies to improve the mental health and overall well-being of rural older adults, particularly those with multiple comorbidities.

Determinants of depression in Indian tribal adults: Evidence from the Longitudinal Ageing Study in India Wave-I survey

BACKGROUND OBJECTIVES

The tribal populations are vulnerable to mental health issues owing to various reasons. However, limited research has been conducted to assess depression and related determinants among tribal adults aged ≥45 yr (45 years and older). The present study aimed to assess the prevalence and sociodemographic and health determinants of depressive symptoms among the scheduled tribe (ST) population aged ≥45 yr in India.

METHODS

The present study analyzed the Wave I data of the Longitudinal Ageing Study in India conducted between April 2017 to December 2018. The outcome variables in the present study were self-reported depressive symptoms. Two internationally recognised tools, the Centre for Epidemiologic Studies Depression scale (CES-D) and Composite International Diagnostic Interview-Short Form (CIDI-SF), were used to obtain the data, however, only the CES-D data are utilized in this study. The present study focused on 12,215 ST individuals aged ≥45 yr from whom information about depressive symptoms was collected and analyzed.

RESULTS

Nearly 25 per cent ST population aged 45 yr or older experienced depressive symptoms. The likelihood of experiencing depressive symptoms among the ST population aged ≥45 yr was negatively associated with 10 or more years of education and living with children and others and positively associated with experiencing multiple morbidity conditions.

INTERPRETATION CONCLUSIONS

Given the substantial burden of depression among the adult ST population, the present study lays emphasis on raising the awareness about depressive symptoms and strengthen the availability of mental health services among the ST community through intensive campaigns and engagement of ST individuals along with other key stakeholders. Higher education, living with spouse and children and a physically active lifestyle can play a crucial role in limiting depressive symptoms among the tribal adults (≥45 yr). It is paramount to regularly screen depressive symptoms and conduct more microlevel studies to evaluate socioeconomic and health determinants of depressive symptoms among ST communities living in different geographic regions.

Exploring multimorbidity clusters in relation to healthcare use and its impact on self-rated health among older people in India

The conventional definition of multimorbidity may not address the complex treatment needs resulting from interactions between multiple conditions, impacting self-rated health (SRH). In India, there is limited research on healthcare use and SRH considering diverse disease combinations in individuals with multimorbidity. This study aims to identify multimorbidity clusters related to healthcare use and determine if it improves the self-rated health of individuals in different clusters. This study extracted information from cross-sectional data of the first wave of the Longitudinal Ageing Study in India (LASI), conducted in 2017-18. The study participants were 31,373 people aged ≥ 60 years. A total of nineteen chronic diseases were incorporated to identify the multimorbidity clusters using latent class analysis (LCA) in the study. Multivariable logistic regression was used to examine the association between identified clusters and healthcare use. A propensity score matching (PSM) analysis was utilised to further examine the health benefit (i.e., SRH) of using healthcare in each identified cluster. LCA analysis identified five different multimorbidity clusters: relatively healthy' (68.72%), 'metabolic disorder (16.26%), 'hypertension-gastrointestinal-musculoskeletal' (9.02%), 'hypertension-gastrointestinal' (4.07%), 'complex multimorbidity' (1.92%). Older people belonging to the complex multimorbidity [aOR:7.03, 95% CI: 3.54-13.96] and hypertension-gastrointestinal-musculoskeletal [aOR:3.27, 95% CI: 2.74-3.91] clusters were more likely to use healthcare. Using the nearest neighbor matching method, results from PSM analysis demonstrated that healthcare use was significantly associated with a decline in SRH across all multimorbidity clusters. Findings from this study highlight the importance of understanding multimorbidity clusters and their implications for healthcare utilization and patient well-being. Our findings support the creation of clinical practice guidelines (CPGs) focusing on a patient-centric approach to optimize multimorbidity management in older people. Additionally, finding suggest the urgency of inclusion of counseling and therapies for addressing well-being when treating patients with multimorbidity.

Gender differences in the association between cardiovascular diseases and major depressive disorder among older adults in India

Background

Despite the global disease burden associated with the co-occurrence of cardiovascular diseases (CVDs) and depression, depression remains underdiagnosed and undertreated in the CVD population, especially among older adults in India. As such, this study examines (1) the association between single and multiple CVDs and major depressive disorder among older Indians; (2) whether this association is mediated by older adults' self-rated health and functional limitations; and (3) whether these associations vary for older men and women.

Methods

Data come from the 2017-18 wave 1 of the Longitudinal Ageing Study in India. Multivariable logistic regression is used to explore the association between CVDs and major depressive disorder among older men and women. The Karlson-Holm-Breen (KHB) method is used to examine the mediation effects of self-rated health and functional difficulties in the observed associations.

Results

Overall, 5.08% of the older adults had multiple CVDs. Older women (9.71%) had a higher prevalence of major depressive disorder compared to men (7.50%). Multiple CVDs were associated with greater odds of major depressive disorder after adjusting the potential covariates (adjusted odds ratio [AOR]: 1.49; 95% confidence interval [CI]: 1.10-2.00). Older men with multiple CVDs had a greater risk of major depressive disorder (AOR: 1.64; 95% CI: 1.05-2.57) relative to women with CVDs (AOR: 1.39; 95% CI: 0.93-2.08). The association between multiple CVDs and depression was mediated by self-rated health (34.03% for men vs. 34.55% for women), ADL difficulty (22.25% vs. 15.42%), and IADL difficulty (22.90% vs. 19.10%).

Conclusions

One in five older Indians with multiple CVDs reports major depressive disorder, which is three times more common than the prevalence of depressive disorder in older adults without CVDs. This association is attenuated by self-rated health and functional limitations. Moreover, these associations are more pronounced in older men relative to older women. These findings depart from prior inferences that men with CVDs are less psychologically distressed than their female counterparts. Moreover, the findings underscore the importance of gender-specific approaches to interventions and therapeutics for CVD-related mental health.

The Integration of Clinical Decision Support Systems Into Telemedicine for Patients With Multimorbidity in Primary Care Settings: Scoping Review

BACKGROUND

Multimorbidity, the presence of more than one condition in a single individual, is a global health issue in primary care. Multimorbid patients tend to have a poor quality of life and suffer from a complicated care process. Clinical decision support systems (CDSSs) and telemedicine are the common information and communication technologies that have been used to reduce the complexity of patient management. However, each element of telemedicine and CDSSs is often examined separately and with great variability. Telemedicine has been used for simple patient education as well as more complex consultations and case management. For CDSSs, there is variability in data inputs, intended users, and outputs. Thus, there are several gaps in knowledge about how to integrate CDSSs into telemedicine and to what extent these integrated technological interventions can help improve patient outcomes for those with multimorbidity.

OBJECTIVE

Our aims were to (1) broadly review system designs for CDSSs that have been integrated into each function of telemedicine for multimorbid patients in primary care, (2) summarize the effectiveness of the interventions, and (3) identify gaps in the literature.

METHODS

An online search for literature was conducted up to November 2021 on PubMed, Embase, CINAHL, and Cochrane. Searching from the reference lists was done to find additional potential studies. The eligibility criterion was that the study focused on the use of CDSSs in telemedicine for patients with multimorbidity in primary care. The system design for the CDSS was extracted based on its software and hardware, source of input, input, tasks, output, and users. Each component was grouped by telemedicine functions: telemonitoring, teleconsultation, tele-case management, and tele-education.

RESULTS

Seven experimental studies were included in this review: 3 randomized controlled trials (RCTs) and 4 non-RCTs. The interventions were designed to manage patients with diabetes mellitus, hypertension, polypharmacy, and gestational diabetes mellitus. CDSSs can be used for various telemedicine functions: telemonitoring (eg, feedback), teleconsultation (eg, guideline suggestions, advisory material provisions, and responses to simple queries), tele-case management (eg, sharing information across facilities and teams), and tele-education (eg, patient self-management). However, the structure of CDSSs, such as data input, tasks, output, and intended users or decision-makers, varied. With limited studies examining varying clinical outcomes, there was inconsistent evidence of the clinical effectiveness of the interventions.

CONCLUSIONS

Telemedicine and CDSSs have a role in supporting patients with multimorbidity. CDSSs can likely be integrated into telehealth services to improve the quality and accessibility of care. However, issues surrounding such interventions need to be further explored. These issues include expanding the spectrum of medical conditions examined; examining tasks of CDSSs, particularly for screening and diagnosis of multiple conditions; and exploring the role of the patient as the direct user of the CDSS.

Prevalence and factors influencing depression among empty nesters in China: A meta-analysis

BACKGROUND

Empty nesters are older people who live alone or an older couple without children to care for them. In China, empty nesters make up a significant community and are more likely to experience emotional issues, particularly depression. This study investigated the prevalence of depression and the factors influencing depression among Chinese home-bound empty nesters using meta-analysis.

METHODS

Based on previous studies, we used search terms relating to empty nesters and depression in English and Chinese. Databases, including China Journal Full Text Database (CNKI), Wanfang, Wipu, China Biomedical Literature Database (CBM), PubMed, Web of Science, Embase, The Cochrane Library, and UptoDate, were searched in April 2022, for relevant articles. Details including names of authors, year of publication, region of investigation, study type, sample size, depression detection scale, depression detection rate, and influencing factors were captured. The heterogeneity of the studies was assessed based on the I2 index, and data analysis was performed using Stata 16.0 software.

RESULTS

A total of ten research articles involving 5337 Chinese empty nesters were evaluated in the present meta-analysis. The overall prevalence of depression among empty nesters in China was 43%. The prevalence of depression among urban empty nesters was 38% (95% CI: 0.24,0.52), and 36% (95% CI: 0.18,0.55) among rural empty nesters. Many factors, including female, income, marital status, chronic illness, relationship with children, and social support were linked to depression among urban empty nesters.

CONCLUSION

The prevalence of depression among empty nesters was 43%. Therefore, based on the factors influencing depression, government departments can intervene early to improve the mental health of empty nesters.

LIMITATIONS

The meta-analysis only included cross-sectional studies. Therefore, there is a need for more future original studies investigating depression among empty nesters in China.

Prevalence of depression among elderly women in India-An intersectional analysis of the Longitudinal Ageing Study in India (LASI), 2017-2018

Epidemiological transition in India shows a shift in disease burden from youth to the elderly. As Life Expectancy increases, a greater burden is placed on the state, society, and families in India. Mental health disorders are insidious, debilitating Non-Communicable Diseases (NCDs) that afflict people, their families, and generations down the line. Globally, depression is the leading cause of mental health-related disability. It is estimated that mental illness contributes to 4.7% of Disability Adjusted Life Years (DALYs) in India. It is predicted that by 2026, the elderly's sex ratio will increase to 1,060 feminizing ageing. Research has shown that elderly women in developed countries like the United States are more prone to depression. Chronic morbidities are more common in women than in men, and they may suffer from poor vision, depression, impaired physical performance, and elder abuse. Mostly widowed, economically dependent, lacking proper food and clothing, fearing the future, and lacking proper care, they have difficulty coping with these health problems. There are surprisingly few studies on elderly female depression. Therefore, we want to hypothesize the prevalence of depression among women in different regions and demographic groups in India, and what factors may contribute to these differences. Using intersectional analysis with the data from Wave 1 (2017-2018) of the (Longitudinal Ageing Study in India) LASI (N = 16,737) we were able to explore the intersecting patterns between different variables and how people are positioned simultaneously and position themselves in different multiple categories based on the type of place of residence, age and level of education. Through the study we further aim to determine the prevalence of depression among elderly female in the age group of 60 in different states using the Chloropleth map. The findings of the study highlight the significance of the place of residence in the development of depression among elderly women, with the rural area being associated with a higher prevalence of depression compared to urban area. When compared to people with higher literacy, those with low literacy were significantly associated with depression. State-wise, there is a huge difference between the prevalence of elderly women depression in rural and urban areas. The study highlights the vulnerability of elderly women to depression. It is possible for the government to develop programs that address the needs of elderly women, both in urban and rural areas, to reduce depression. Multi-factor approaches to mental health, which consider age, literacy, and location, are essential. Programs targeting specific populations can be developed to address depression's root causes..

Late-Onset Depression but not Early-Onset Depression may Increase the Risk of All-Cause Mortality in Older Age: 8-Year Follow-Up of the Salus in Apulia Study

OBJECTIVES

Individuals with late-life depression (LLD) may have shorter survival, but there is a lack of findings in population-based settings about health-related outcomes of LLD and its subtypes: early-onset depression (EOD) and late-onset depression (LOD). We aimed to evaluate the risk of all-cause mortality of individuals with LLD and its subtypes in an older population-based cohort. Moreover, we investigated whether inflammatory, cognitive, genetic features and multimorbidity could modify the effect of this association.

DESIGN

Longitudinal population-based study with 8-year follow-up.

SETTING AND PARTICIPANTS

We analyzed data on a sample of 1479 participants, all aged >65 years, in the Salus in Apulia Study.

METHODS

LLD was diagnosed through DSM-IV-TR criteria and LOD and EOD according to the age of onset. Multimorbidity status was defined as the copresence of 2 or more chronic diseases.

RESULTS

The overall prevalence of LLD in this older sample from Southern Italy was 10.2%, subdivided into 3.4% EOD and 6.8% LOD. In multivariable Cox models adjusted for age, gender, education, global cognition, apolipoprotein E ε4 allele, physical frailty, interleukin-6, and multimorbidity, LLD showed a greater risk of all-cause mortality. LOD differed from EOD regarding gender, education, cognitive dysfunctions, and diabetes mellitus. There was a significantly increased risk of all-cause mortality for participants with LOD (hazard ratio:1.99; 95% CI 1.33-2.97) in the time of observation between enrollment date and death date (7.31 ± 2.17 months).

CONCLUSIONS AND IMPLICATION

In older age, individuals with LOD but not with EOD had a significantly decreased survival, probably related to increased inflammation, multimorbidity, and cognitive impairments.

Analysing the role of sleep quality, functional limitation and depressive symptoms in determining life satisfaction among the older Population in India: a moderated mediation approach

Background:

Life satisfaction (LS), a useful construct in the study of psycho-social well-being, is an important indicator of healthy aging. With a view to investigate whether the improved longevity in India is accompanied by commensurate levels of well-being and contentment among the older adults , this study aimed to examine (1) the association between LS and sleep quality among older Indian adults aged 60 years and above (2) the mediating role of depression that accounts for the association and (3) the moderating role of functional limitation in this mediation.

Methods:

Cross-sectional data from the Longitudinal Ageing Study in India (LASI), Wave-1 (2017-18) was used. Pearson’s correlation coefficients were calculated to investigate the pair-wise relationship between sleep quality, depressive symptoms, functional limitation, and LS. Structural Equation Model was employed to analyse the moderated-mediated association between sleep quality and the level of LS.

Results:

Sleep quality had a direct effect (β=-0.12) as well as an indirect effect (β=-0.024) via depressive symptoms on LS, accounting for 83.6 and 16.4 per cent of the total effects, respectively. Also, the interaction term between poor seep quality and functional limitation was positive (β = 0.03, p < 0.001) in determining depressive symptoms, suggesting that higher level of functional limitation aggravated the indirect effect of poor sleep quality on LS.

Conclusion:

The findings of the study suggested that ensuring both the physical as well as the mental well-being of the population during the life course may confer in later life the desired level of life satisfaction.