Geriatric mental health in Bangladesh: a call for action

Astute exploration of collective mental health events among the residents of elderly care homes

Background & objective

Developing countries are presently witnessing a great burden of rapid aging followed by losing the social values of older adults due to age-related cognitive impairment as well as rising depression levels. This study was designed to assess the cognitive impairment and depression status combinedly among older adults in elderly care homes.

Methods

It was a cross-sectional survey among randomly selected 200 older adults aged between 60 and 80 years residing in some old homes in Dhaka district, Bangladesh. Data were collected through face-to-face interviews while Cognitive function and level of depression were assessed by applying the Standardized Mini-Mental State Examination (MMSE) and Geriatric Depression Scale (GDS).

Results

Among all the respondents, the majority (81.5%) were staying in old homes for 1-5 years. The majority (91.0%) had difficulties with vision, 40.7% had difficulties with hearing and 19.6% had difficulties moving around. The MMSE test revealed that 43% had moderate cognitive impairment, 36% had mild and 19.5% were found normal while more than half (56%) had severe depression. Significant cognitive impairment was found among the illiterate respondents who did not have any family care support. In addition, higher-educated respondents were found to have more severe depression (OR/p = 6.33/<0.01; 95% CI: 2.36-16.96). Furthermore, severely depressed respondents had more severe cognitive impairment (COR/p = 3.83/0.01; 95% CI: 1.66-8.83). Functional disabilities were also a greater concern for cognitive impairment and depression.

Conclusion

An increasing number of old home residents are suffering from significant mental disorders while there is no mental health support in the elderly care homes in Bangladesh. Finally, there is a great need to develop packages and programs of mental health care for senior citizens and their caregivers residing in old homes, which can be scaled up across the country's mixed healthcare delivery system.

Depression level, nutritional status, and dietary nutrient intake of the older adult at the community level in a selected area of Bangladesh

Malnutrition is associated with higher rates of morbidity and death in the older population. Depression or mental health is a major component of older adult malnutrition. The aim of the study was to measure the level of malnutrition and depression in older adults, as well as their correlated factors, such as dietary energy and nutrient consumption. A cross-sectional study was conducted among 108 older individuals living in two areas of Faridpur, Bangladesh. The Mini Nutritional Assessment-Short Form (MNA-SF), Geriatric Depression (GD) Scale, and 24-h dietary recall were used to measure the nutritional status, depression level, and dietary nutrients, respectively. A total of 20.4% and 55.6% were malnourished or at risk of malnutrition, respectively. Around 81.5% of the study subjects exhibited a different degree of depression and 9.3% were identified as having severe depression. There was a significant inverse association between the MNA-SF score and the GD score (r = -0.684, p=<0.001). The average energy and protein consumption was 1387 kcal and 45.52 g, respectively; and energy and protein intake were significantly lower in the depressed group (1353 Kcal, 43.8 g) than in the non-depressed group (1530 Kcal, 52.4 g). An extremely low energy consumption (<20 kcal/kg body weight/day) was noted in 27.1% of the older adults. None of the participants in this study were able to meet the requirements for dietary fiber, calcium, vitamin B6, folate, vitamin D, and vitamin E. Specific nutrition-related intervention programs as well as social and familial support are recommended to improve the nutritional status of older adults.

Change in prevalence over time and factors associated with depression among Bangladeshi older adults during the COVID-19 pandemic

BACKGROUND

Globally, the COVID-19 pandemic seriously affected both physical and mental health conditions. This study aims to assess changes in the prevalence of depression among older adults during the COVID-19 pandemic in Bangladesh and explore the correlates of depression in pooled data.

METHODS

This study followed a repeated cross-sectional design and was conducted through telephone interviews on two successive occasions during the COVID-19 pandemic (October 2020 and September 2021) among 2077 (1032 in 2020-survey and 1045 in 2021-survey) older Bangladeshi adults aged 60 years and above. Depression was measured using the 15-item Geriatric Depression Scale (GDS-15). The binary logistic regression model was used to identify the factors associated with depression in pooled data.

RESULTS

A significant increase in the prevalence of depression was noted in the 2021 survey compared to the 2020 survey (47.2% versus 40.3%; adjusted odds ratio (aOR): 1.40, 95% confidence interval (CI): 1.11-1.75). Depression was significantly higher among participants without a partner (aOR 1.92, 95% CI 1.45-2.53), with a monthly family income of <5000 BDT (aOR: 2.65, 95% CI 1.82-3.86) or 5000-10 000 BDT (aOR: 1.30, 95% CI 1.03-1.65), living alone (aOR 2.24, 95% CI 1.40-3.61), feeling isolated (aOR 3.15, 95% CI 2.49-3.98), with poor memory/concentration (aOR 2.02, 95% CI 1.58-2.57), with non-communicable chronic conditions (aOR 1.34, 95% CI 1.06-1.69), overwhelmed by COVID-19 (aOR 1.54, 95% CI 1.18-2.00), having difficulty earning (aOR 1.49, 95% CI 1.15-1.92) or obtaining food (aOR 1.56, 95% CI 1.17-2.09) during COVID-19 pandemic, communicating less frequently (aOR 1.35, 95% CI 1.07-1.70) and needing extra care (aOR 2.28, 95% CI 1.75-2.96) during the pandemic.

CONCLUSIONS

Policymakers and public health practitioners should provide immediate mental health support initiatives for this vulnerable population during the COVID-19 pandemic and beyond. Policymakers should also invest in creating safe places to practise mindful eating, exercise, or other refuelling activities as a means of preventing and managing depression.

Psychometric Properties of the Short-Form Geriatric Depression Scale (GDS-SF) and Its Associated Factors among the Elderly in Bangladesh

Background: This study aimed to (1) evaluate the psychometric properties of a Comprehensive Short-Form Geriatric Depression Scale (GDS-SF) and (2) examine the associated factors of GDS-SF among the elderly. Methods: A cross-sectional study was conducted from November 2019 to April 2020 in Dhaka City Corporation, Bangladesh. Data of 377 elderly were collected, including socio-demographic characteristics, social supports, comorbidities, sleep behaviours, and depression (as measured by the GDS-SF). We used the principal component analysis, correlation analysis, and logistic regression analysis to validate GDS-SF, and explore its associations. Results: The GDS-SF was reliable and homogeneous with Cronbach’s alpha = 0.836, and McDonald’s Omega = 0.841, with no floor/ceiling effects. The questionnaire demonstrated a good construct validity with item-scale convergent validity and KMO measure of sampling adequacy (0.869 for the total sample, 0.838 for the community subsample, and 0.851 for the slum subsample). In the multivariate model, older people had a higher likelihood of moderate and severe depression (OR, 1.06; 95% CI, 1.00, 1.12; p = 0.048). The likelihood of having moderate and severe depression was lower in men (OR, 0.48; 95% CI, 0.28, 0.85; p = 0.011) and those satisfied with their children’s support (OR, 0.17; 95% CI, 0.08, 0.35; p < 0.001), compared with their counterparts, respectively. Conclusions: The GDS-SF is a reliable and valid survey tool for evaluating depression in Bangladeshi older adults. Age, gender, and satisfaction with children’s support were predictors of depression.

Geriatric malnutrition and depression: Evidence from elderly home care population in Bangladesh

Malnutrition is the root of numerous complications ranging from physical disability to mental health problems like depression. Depending on the intensity, depression can lead to emotional fluctuations, even suicidal attempts. Geriatric health in a country like Bangladesh is often ignored, although they are a growing segment of society. This community-based cross-sectional study aimed to determine the prevalence and severity of depression and malnutrition in the elderly to evaluate the relationship between depression and malnutrition. Mini Nutritional Assessment (MNA) was used to determine nutritional status, and Geriatric Depression Scale (GDS) was used to assess depression. About 84% of the participants showed a different array of depression symptoms. The rate of malnutrition and depression is higher among the male participants. Being malnourished (OR: 4.05, 95% CI: 2.79-5.87) and people are at risk of malnutrition (OR:1.67, 95% CI:1.24-2.24) had a significantly higher risk of suffering from depression. Maintaining a good physical state, a healthy lifestyle, and a supportive family environment are among the factors that can reduce depression in the elderly population. Therefore, to fight depression, specific programs and targeted interventions focusing on physical and mental stability for the elderly at the community level can enhance awareness at the individual and family levels.

Exploring depressive symptoms and its associates among Bangladeshi older adults amid COVID-19 pandemic: findings from a cross-sectional study

PURPOSE

Depression, one of the most common mental disorders, is up-surging worldwide amid the ongoing coronavirus disease 2019 (COVID-19) pandemic, especially among the older population. This study aims to measure prevalent depressive symptoms and its associates among older adults amid the COVID-19 pandemic in Bangladesh.

METHODS

This cross-sectional study was carried out among 1032 older Bangladeshi adults, aged 60 years and above, through telephone interviews in October 2020. We used a semi-structured questionnaire to collect data on participants' socio-demographic and lifestyle characteristics, pre-existing medical conditions, and COVID-19-related information. Meanwhile, depressive symptoms were measured using the 15-item Geriatric Depression Scale (GDS-15). The binary logistic regression model was used to identify the factors associated with depressive symptoms.

RESULTS

Two-in-five participants showed depressive symptoms on the GDS-15 scale. Poor socioeconomic characteristic such as low family income, dependency on the family for living, recipient of financial support during the pandemic was associated with higher odds of depressive symptoms. Participants with pre-existing medical conditions had 91% higher odds of depressive symptoms. Social isolation, captured in terms of living alone (aOR = 2.11, 95% CI 1.11-4.01), less frequent communication during pandemic (aOR = 1.55, 95% CI 1.07-2.26), perceived loneliness (aOR = 2.25, 95% CI 1.47-3.45), and isolation from others (aOR = 2.45, 95% CI 1.62-3.70) were associated with higher odds of depressive symptoms.

CONCLUSIONS

Our study found a sizeable proportion of study participants with depressive symptoms amidst the ongoing pandemic. The findings of the present study call for the urgent need for mental health support package targeting this vulnerable group of population.