Socio-demographic characteristics, lifestyle factors, multi-morbid conditions and depressive symptoms among Nepalese older adults

2020 ◽  
Author(s):  
Uday Yadav ◽  
Tarka Bahadur Thapa ◽  
Sabuj Kanti Mistry ◽  
Roshan Pokhrel ◽  
Mark Fort Harris

Abstract Background Depressive symptoms (DS) are a well-recognized public health problem across the world. There is limited evidence with regard to DS and its associates, such as socio-demographic characteristics, lifestyle factors and chronic conditions in low-income countries like Nepal. In this study, we aimed to assess the level of DS and its relationship with socio-demographic characteristics, lifestyle factors and chronic disease conditions among community dwelling older people in Nepal. Methods We conducted a cross-sectional study of 794 older adults aged 60 or above residing in the rural setting of the Sunsari and Morang districts of eastern Nepal between January and April 2018. Multi-stage cluster sampling was adopted to select the study participants. Data included socio-demographics, lifestyle factors, self-reported chronic disease conditions and the Geriatric depression scale. Determinants of DS were estimated through the generalized estimating equation (GEE) approach by considering exchangeable correlation structure among clusters. Results In our study samples, nearly 55.8% of the older adults were found to be suffering from DS. We found a significant association between DS and being female (aOR: 1.25, 95% CI: 0.89-2.09), Buddhism (aOR: 1.95, 95% CI: 1.58-2.42), Dalits (aOR: 2.60, 95% CI: 1.19-5.65), unemployed, low family income (aOR: 1.77, 95% CI: 1.07-2.92), smokers (aOR: 1.49, 95% CI: 1.01-2.20) and having chronic multi-morbid conditions (aOR: 1.67, 95% CI: 1.09-2.55). Conclusions The prevalence of DS was high among community-dwelling older adults in eastern Nepal. Our findings suggest the need for mental health prevention and management programs targeting the older population in rural Nepal.

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Uday Narayan Yadav ◽  
Tarka Bahadur Thapa ◽  
Sabuj Kanti Mistry ◽  
Roshan Pokhrel ◽  
Mark Fort Harris

Author(s):  
Takafumi Abe ◽  
Kenta Okuyama ◽  
Tsuyoshi Hamano ◽  
Miwako Takeda ◽  
Masayuki Yamasaki ◽  
...  

Although some neighborhood environmental factors have been found to affect depressive symptoms, few studies have focused on the impact of living in a hilly environment, i.e., land slope, on depressive symptoms among rural older adults. This cross-sectional study aimed to investigate whether a land slope is associated with depressive symptoms among older adults living in rural areas. Data were collected from 935 participants, aged 65 years and older, who lived in Shimane prefecture, Japan. Depressive symptoms were assessed using the Zung Self-Rating Depression Scale (SDS) and defined on the basis of an SDS score ≥ 40. Land slopes within a 400 m network buffer were assessed using geographic information systems. Odds ratios (ORs) with 95% confidence intervals (CIs) of depressive symptoms were estimated using logistic regression. A total of 215 (23.0%) participants reported depressive symptoms. The land slope was positively associated with depressive symptoms (OR = 1.04; 95% CI = 1.01–1.08) after adjusting for all confounders. In a rural setting, living in a hillier environment was associated with depressive symptoms among community-dwelling older adults in Japan.


2016 ◽  
Vol 19 (1) ◽  
pp. 7-20 ◽  
Author(s):  
Giovana Sposito ◽  
Anita Liberalesso Neri ◽  
Mônica Sanches Yassuda

Objective The aim of this study was to investigate the relationship between participation in advanced activities of daily living (AADLs) and cognitive performance in community-dwelling elderly persons. Method The data presented is drawn from the population-based study entitled Frailty Profile of Elderly Brazilians (FIBRA-Unicamp). The sample comprised 2,549 older adults without cognitive impairments suggestive of dementia. Data was collected relating to socio-demographic characteristics (sex, age, years of education and family income), health status (number of diseases and depressive symptoms), cognitive performance (Mini-Mental State Examination - MMSE) and self-reported social, physical and intellectual AADLs. Results Mean MMSE scores were significantly higher among men, younger individuals and those with more years of education, higher income, fewer diseases and fewer depressive symptoms. Multivariate linear regression analysis and hierarchical regression analysis showed that years of education, family income and participation in intellectual AADLs were positively associated with cognitive performance. Conclusion The findings suggest that these factors may have a protective role in cognitive aging and that participation in intellectual AADLs can represent a feasible strategy for the promotion of mental health among older adults.


2021 ◽  
Vol 42 (4) ◽  
pp. 901-907
Author(s):  
Laura J. Samuel ◽  
Rebecca Wright ◽  
Marianne Granbom ◽  
Janiece L. Taylor ◽  
Ciara Hupp ◽  
...  

2021 ◽  
Vol 30 ◽  
Author(s):  
Shiyu Lu ◽  
Tianyin Liu ◽  
Gloria H. Y. Wong ◽  
Dara K. Y. Leung ◽  
Lesley C. Y. Sze ◽  
...  

Abstract Aims Late-life depression has substantial impacts on individuals, families and society. Knowledge gaps remain in estimating the economic impacts associated with late-life depression by symptom severity, which has implications for resource prioritisation and research design (such as in modelling). This study examined the incremental health and social care expenditure of depressive symptoms by severity. Methods We analysed data collected from 2707 older adults aged 60 years and over in Hong Kong. The Patient Health Questionnaire-9 (PHQ-9) and the Client Service Receipt Inventory were used, respectively, to measure depressive symptoms and service utilisation as a basis for calculating care expenditure. Two-part models were used to estimate the incremental expenditure associated with symptom severity over 1 year. Results The average PHQ-9 score was 6.3 (standard deviation, s.d. = 4.0). The percentages of respondents with mild, moderate and moderately severe symptoms and non-depressed were 51.8%, 13.5%, 3.7% and 31.0%, respectively. Overall, the moderately severe group generated the largest average incremental expenditure (US$5886; 95% CI 1126–10 647 or a 272% increase), followed by the mild group (US$3849; 95% CI 2520–5177 or a 176% increase) and the moderate group (US$1843; 95% CI 854–2831, or 85% increase). Non-psychiatric healthcare was the main cost component in a mild symptom group, after controlling for other chronic conditions and covariates. The average incremental association between PHQ-9 score and overall care expenditure peaked at PHQ-9 score of 4 (US$691; 95% CI 444–939), then gradually fell to negative between scores of 12 (US$ - 35; 95% CI - 530 to 460) and 19 (US$ -171; 95% CI - 417 to 76) and soared to positive and rebounded at the score of 23 (US$601; 95% CI -1652 to 2854). Conclusions The association between depressive symptoms and care expenditure is stronger among older adults with mild and moderately severe symptoms. Older adults with the same symptom severity have different care utilisation and expenditure patterns. Non-psychiatric healthcare is the major cost element. These findings inform ways to optimise policy efforts to improve the financial sustainability of health and long-term care systems, including the involvement of primary care physicians and other geriatric healthcare providers in preventing and treating depression among older adults and related budgeting and accounting issues across services.


BMJ Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. e041578
Author(s):  
Linglin Kong ◽  
Huimin Zhao ◽  
Junyao Fan ◽  
Quan Wang ◽  
Jie Li ◽  
...  

ObjectivesTo assess the prevalence of frailty and identify predictors of frailty among Chinese community-dwelling older adults with type 2 diabetes.DesignA cross-sectional design.SettingTwo community health centres in central China.Participants291 community-dwelling older adults aged ≥65 years with type 2 diabetes.Main outcome measuresData were collected via face-to-face interviews, anthropometric measurements, laboratory tests and community health files. The main outcome measure was frailty, as assessed by the frailty phenotype criteria. The multivariate logistic regression model was used to identify the predictors of frailty.ResultsThe prevalence of prefrailty and frailty were 51.5% and 19.2%, respectively. The significant predictors of frailty included alcohol drinking (ex-drinker) (OR 4.461, 95% CI 1.079 to 18.438), glycated haemoglobin (OR 1.434, 95% CI 1.045 to 1.968), nutritional status (malnutrition risk/malnutrition) (OR 8.062, 95% CI 2.470 to 26.317), depressive symptoms (OR 1.438, 95% CI 1.166 to 1.773) and exercise behaviour (OR 0.796, 95% CI 0.716 to 0.884).ConclusionsA high prevalence of frailty was found among older adults with type 2 diabetes in the Chinese community. Frailty identification and multifaceted interventions should be developed for this population, taking into consideration proper glycaemic control, nutritional instruction, depressive symptoms improvement and enhancement of self-care behaviours.


Sign in / Sign up

Export Citation Format

Share Document