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

Treating Mental Health and Quality of Life in Older Cancer Patients with Cognitive Behavioral Therapy: A Systematic Review and Meta-Analysis

BACKGROUND

Cognitive behavioral therapy (CBT) has been successfully utilized in improving mental health (MH) and quality of life (QoL) in the general population, regardless of age. Cancer, which is most frequently diagnosed in older adults, is a debilitating illness that has a detrimental and long-lasting effect on patients' MH and QoL. While numerous studies have demonstrated CBT's efficacy, little evidence exists for its role in older cancer patients. This study, using MH and QoL metrics, evaluates the effectiveness of CBT for older adult cancer patients.

METHODS

Focusing on MH and QoL and an average age of over 60 years old, a final analysis was performed on 17 clinical trials with a total of 124 effect sizes, including 3073 participants receiving CBT. "Metaphor" and "Robumeta" packages in R Statistical Software (version 4.2.2) were used for analysis, which included robust variance estimation (RVE) in intercept-only meta-regression, and univariate meta-regression for moderator analysis.

RESULTS

With 17 clinical trials and 124 effect sizes, our results show that CBT moderately improves MH and QoL in cancer patients d = 0.19, 95% CI 0.0166-0.364, p < 0.0399. The delivery format was shown to be a strong moderator of CBT effectiveness with interpersonal technological interventions combined with pre-programmed segments having a very strong treatment effect size (d = 1.7307, 95% CI 1.5244-1.937, p < 0.001).

CONCLUSIONS

The use of CBT in older adult cancer patients statistically improves MH and QoL, with delivery format and stages of treatment having important roles. Tech-only interpersonal interventions combined with pre-programmed CBT provide an avenue for targeting older adult cancer patients.

Exploring barriers to seek mental health services among patients with severe mental illness and their caregivers in a modified assertive community treatment program: A qualitative thematic analysis

Background

Affordability, lack of public mental healthcare facilities, inadequate insurance coverage, and stigma and discrimination are barriers to mental healthcare utilization in India. There is limited research on these barriers and the factors influencing the use of mental health services.

Aim

To explore the barriers to seeking mental healthcare for individuals with severe mental illness and their caregivers in a modified assertive community treatment program.

Methods

In a qualitative study using a descriptive thematic analysis, we conducted in-depth interviews with 19 adults, including seven individuals with severe mental illness and twelve caregivers. All the participants had been in the modified assertive community treatment program for at least two years. Using thematic analysis, we identified and grouped codes into subthemes and then clustered into themes.

Results

Three major themes on barriers to seeking mental health services emerged: service-related factors, societal-related factors, and illness-related factors. Service-related factors included affordability, accessibility and geographical disparity, and noncoverage under insurance schemes. Societal-related factors included social stigma and discrimination, lack of mental health service knowledge and seeking other forms of treatment, and poor social support. Illness-related factors included poor insight into the illness and no relief from the symptoms despite medication.

Conclusions

Barriers to seeking mental healthcare can be categorized as service-related, societal-related, and illness-related. Identifying these factors will improve mental health service delivery.

The effect of outdoor activities on the medical expenditure of older people: multiple chain mediating effects of health benefits

BACKGROUND

With the global aging population, attention to the health and medical issues of older adults is increasing. By analyzing the relationship between older people's participation in outdoor activities and medical expenditure, this study aims to provide a scientific basis for improving their quality of life and reducing the medical burden.

METHODS

Data on outdoor activity participation, medical expenditures, and relevant variables were collected through questionnaires and databases. A multi-chain mediation effect model was established to analyze the impact of outdoor activities on the medical expenditure of older people, considering mediation effects and heterogeneity.

RESULTS

Results revealed that increased participation in outdoor activities among older adults correlated with lower medical expenditures. Outdoor activities positively influenced their health by improving mental health, cognition, eating habits, and activities of daily living, resulting in reduced medical expenditures. Robustness tests confirmed the consistent effect of outdoor activities on older people's medical expenditure.

CONCLUSION

These findings contribute to understanding the relationship between outdoor activities, health, and medical expenditure in older people, guiding policy formulation and interventions. Encouraging and supporting older adults in outdoor activities can enhance their quality of life and alleviate medical resource strain. The study's conclusions can also inform health promotion measures for other populations and serve as a basis for future research in this area.

Burden of undiagnosed depression among older adults in India: a population based study

BACKGROUND

The study explored the levels and associated factors of undiagnosed depression among community-dwelling older Indian adults. It also identified the socio-demographic predictors of undiagnosed depression among the study population at national and state levels.

METHODS

The study employed data from the Longitudinal Ageing Study in India wave-I, 2017-18. Based on the data on depression from interviewee's self-reporting and measurement on Composite International Diagnostic Interview- Short Form (CIDI-SF) and Centre for Epidemiological Studies- Depression scale (CES-D) scales, we estimated undiagnosed depression among older adults (age 60+). We estimated multivariable binary logistic regressions to examine the socio-demographic and health-related predictors of undiagnosed depression among older adults.

FINDINGS

8% (95% CI: 7.8-8.4) of the total older adults had undiagnosed depression on CIDI-SF scale and 5% (95% CI: 4.8-5.3) on the combined CIDI-SF and CES-D. Undiagnosed depression was higher among those who were widowed, worked in the past and currently not working, scheduled castes, higher educated and the richest. Lack of health insurance coverage, presence of any other physical or mental impairment, family history of Alzheimer's/Parkinson's disease/ psychotic disorder, lower self-rated health and poor life satisfaction were significant predictors of undiagnosed depression on both CIDI-SF and combined scales.

CONCLUSION

To improve the health of older adults in India, targeted policy efforts integrating mental health screening, awareness campaigns and decentralization of mental healthcare to primary level is needed. Further research could explore the causal factors behind different levels of undiagnosed depression.

Association between chronic disease, sensory impairment, walking limitation, and activities of daily living of community-dwelling older Indians

Due to the paucity of existing evidence, this study aims to investigate the relationship between chronic disease, sensory impairment, walking limitation, and difficulty in activities of daily living (ADLs) in community-dwelling older Indians. This cross-sectional study included data from 31,394 individuals aged ≥ 60 years from the 2017 to 2018 Longitudinal Ageing Study in India. Participants were divided into 2 groups: 12,993 with chronic disease, sensory impairment, and a walking limitation, and 18,401 healthy individuals without such conditions. Participants with any chronic disease were further divided into 2 groups: sensory impairment (n = 12,462), and a walking limitation (n = 4745). Self-reported close-ended questionnaires with yes or no were used to assess each chronic disease (such as hypertension, diabetes, lung disorders, joint disorders, or heart disease), sensory impairment (vision or hearing), and walking limitation. A walking limitation was defined as being when a person could only walk at their usual pace for less than 500 meters on a flat surface. ADLs were assessed and classified as physical ADLs including basic physical requirements like dressing. Instrumental ADLs (IADLs) included more complicated community-based tasks like meal preparation. Findings showed that older Indians with chronic disease, sensory impairment, and a walking limitation were more likely to be significantly associated with physical ADLs (adjusted odds ratio [aOR] = 1.85, 95% confidence interval [CI] = 1.34-1.57, P < .0001) and IADLs (aOR = 1.45, 95% CI = 1.70-2.03, P < .0001) than those without such conditions. Among older Indians with chronic disease, sensory impairment was more likely associated with physical ADLs (aOR = 1.98, 95% CI = 1.82-2.16, P < .0001) and IADLs (aOR = 1.26, 95% CI = 1.15-1.37, P < .0001) followed by a walking limitation (aOR = 1.53, 95% CI = 1.42-1.65, P < .0001; aOR = 1.27, 95% CI = 1.17-1.38, P < .0001, respectively). These findings suggest that older Indians with chronic disease, sensory impairment, and walking limitation, can experience increased difficulty in overall and individual physical ADL and IADL than those without these conditions. Older Indians with any chronic condition who had sensory impairment or a walking limitation were also more likely to have difficulty with physical ADLs and IADLs.

Examining factors contributing to the socioeconomic inequalities in handgrip strength among older adults in India: a decomposition analysis

The purpose of this study was to examine (a) the socioeconomic status (SES)-related inequalities associated with handgrip strength (HGS); and (b) the extent to which several demographic, health, and behavioral factors contributed to such SES disparities in HGS among older adults in India. Data were drawn from the 2017-2018 wave 1 of the Longitudinal Ageing Study of India (LASI). The study sample included 27,707 older adults (13,199 men and 14,508 women) aged 60 years and older. HGS was assessed using a handheld Smedley's Hand Dynamometer with a cut-off of 19.5 kg for men and 12.5 kg for women. Bivariate analysis showed the weighted percentage distribution of weak HGS across respondent characteristics. Multivariate logistic regression assessed factors linked to weak HGS. The concentration curve and index (CCI) was used to determine the inequalities in the prevalence of weak HGS by wealth index scores. Wagstaff's decomposition approach was used to test the contribution of each explanatory variable to weak HGS. Around 9% of older adults in this study reported a weak HGS. It was significantly higher among those aged 80 or older (19.21%) and males (15.55%). Weak HGS was concentrated among older adults from poor SES (CCI: 0.05, p < 0.001). A higher percentage of wealth-based inequality in weak HGS was explained by being underweight (38.83%), belonging to the richest wealth quintile (27.95%), and having a higher subjective social status (32.20%). Moreover, about 23.29% of the inequality in weak HGS was explained by Western region and 22.54% by female gender. Additionally, having a secondary level of education explained a higher percentage (22.09%) of inequality, followed by current working status (- 20.68%). Rural residence (13.08%), limitations in instrumental activities of daily living (IADL) (12.21%), and engagement in yoga-related activities (11.55%) explained a higher percentage of wealth-based inequalities. The findings provide evidence of significant SES-related inequalities in HGS and the contribution of various demographic, health, and behavioral factors to such inequality. As such, public health policies and programs focusing on reducing the burden of disability must consider the contribution of social and economic equity to the preservation of muscle strength among older adults.

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.

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

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.

Hearing and vision difficulty and sequential treatment among older adults in India

Aging not only affect biomarker-related processes, but it also affects the physiological processes of the human body. Of all the physiological processes, hearing and vision are of utmost importance to a human. Therefore, this study examines the prevalence and factors associated with hearing and vision difficulty and their sequential treatment among older adults in India. Utilizing data from Building a Knowledge Base on Population Aging in India, study used two sets of outcome variables; firstly, self-reported hearing and vision difficulty and secondly, treatment-seeking for hearing and vision difficulty. A total of 9541 older adults aged 60+ years from seven major regionally representative states were selected. Descriptive statistics were used to perform preliminary analysis. Additionally, the study employed the Heckprobit selection model. It is a two-equation model. This model is used in order to accommodate the heterogeneity (i.e., shared unobserved factors) among older adults and then address the endogeneity (between hearing and vision loss problems and their treatment-seeking behaviour) for older adults in India, the model offers a two-step analysis and deals with the zero-sample issue. Around 59% and 21% of older adults reported vision and hearing difficulty, respectively. Only 5% of older adults suffering from hearing difficulty reported utilizing hearing aids. Lifestyle factors (smoking tobacco and chewing tobacco) significantly affect hearing and vision difficulty; various chronic diseases were also found to be associated with high levels of hearing and vision difficulty among older adults. Results from Heckprobit model shows that older adults with 11+ years of education had higher probability to use visual [β = 0.54, 95% confidence interval (CI): 0.37, 0.70] and hearing aids [β = 0.6, 95% CI: 0.18, 1.02]. The use of hearing and vision aids was lower among poor older adults, older adults from Scheduled Caste, and older adults in rural areas. The study indicates that more than half of older adults face vision difficulty and almost one-fourth face hearing difficulty in rural India, education and lifestyle appear to be the main driver of health-seeking behaviour. Additional attention shall be given to understand the strategies that may advocate a higher use for hearing aids among older adults.

Socioeconomic vulnerability and frailty among community-dwelling older adults: cross-sectional findings from longitudinal aging study in India, 2017-18

INTRODUCTION

The Indian population is rapidly aging with huge proportion of illiterate and socioeconomically disadvantaged people and there is a dearth of research on the relationships between factors of socioeconomic vulnerability and frailty in older people. The present study examined the cross-sectional associations between socioeconomic vulnerability and physical frailty in community-dwelling older individuals in India.

MATERIALS AND METHODS

The data for the study were obtained from the Longitudinal Aging Study in India (LASI), which was conducted in 2017-18. The effective sample size was 14,652 older males and 15,899 older females aged 60 and over. The outcome variable was physical frailty phenotype measured from exhaustion, unintentional weight loss, weak grip strength, low physical activity, and slow walking time. The main explanatory variable was vulnerability status based on education, wealth and caste. The study carried out bivariate analysis to observe the association between vulnerability status and physical frailty. Further, multivariable binary logistic regression analysis was conducted to fulfil the objective of the study.

RESULTS

A proportion of 10.5 and 14.4% of older males and females respectively were in the overall vulnerable category. The prevalence of physical frailty was high among older males from vulnerable population (31.4% vs 26.9%; p < 0.001). The adjusted estimates from multivariate analysis revealed that older adults from vulnerable category had 14% significantly higher odds of being frail in comparison to non-vulnerable category [AOR: 1.14; CI: 1.06,1.24]. The adjusted model further revealed that there were no significant gender differentials in physical frailty among older adults. Model-3 (adjusted model) revealed that older males and females from vulnerable population had 18% [AOR: 1.18; CI: 1.04,1.34] and 8% [AOR: 1.08; CI: 1.01,1.21] significantly higher odds of being physically frail in comparison to older males from non-vulnerable population respectively.

CONCLUSIONS

Adverse socioeconomic circumstances such as low education, lower wealth and caste status that are associated with increased prevalence of physical frailty raise urgent questions both for public health practitioners and clinicians. The current findings may help to adapt public policies focusing on screening physical frailty in the clinical settings, especially among vulnerable populations as a marker of a possibly reversible vulnerability to adverse outcomes in old age.

Older People's Help-Seeking Behaviors in Rural Contexts: A Systematic Review

Help-seeking behavior (HSB) is vital for older people to sustain their health. As people in aging societies increasingly demand management of their multiple symptoms, communities should encourage HSBs. In rural communities, insufficient healthcare and human resources influence older people’s health. However, no related comprehensive evidence exists so far. This study investigates the present condition of older people’s HSBs in rural contexts in aging societies. We conducted a systematic review by searching six databases (PubMed, Cochrane Library, EMBASE, Medline, and Web of Science) for original studies regarding HSBs of older people in rural contexts published until January 2022. Extracted articles were analyzed based on participants, settings, HSB causes and contents, and older people’s HSB outcomes in rural contexts. Sixteen studies were included in the systematic review: seven investigated the associations between HSBs and participants’ backgrounds, and three the quality of life. Six studies investigated HSB perception, diagnosis, clarifying HSB contents, professional care trend, self-rated health, and mortality. Unlike few studies investigating the association between HSBs and health-related outcomes, this systematic review explains the current evidence regarding rural older people’s HSBs. Due to insufficient evidence from longitudinal studies in clarifying interventions for effective HSBs, future studies should use observational and interventional designs.