ABSTRACT
Context: Multimorbidity is considered as a priority for global health research. It is defined as the coexistence of two or more chronic health conditions in an individual. It is increasingly being recognized as a major concern for primary care physicians due to its huge impact on individual, family, and societal level. Aim: The aim of this study was to find the quantum of gender-related inequalities and determinants of multimorbidity among the elderly people in a rural part of West Bengal. Materials and Methods: This is a cross-sectional study carried out among 246 elderly people (60 years and above) in a community setting from Oct 2017 to Sep 2018. Logistic regression analysis was done to find out the predictors of multimorbidity. Data were analyzed using the SPSS software (version 16.0. Chicago, SPSS Inc.). Results: Approximately 82% of the study subjects were suffering from multi-morbidity with a significant difference between males (80.9%) and females (88.5%). In binary logistics, people of both the genders aged >70 years, who had less than primary level education, had more than three children, whose source of income was from their children (sons/daughters), were dependent on others for daily routine were at high risk of being multimorbid; whereas depression was a significant predictor of multimorbidity in females and not in males. In multivariable analysis, age remained the only significant predictor for both the gender and for females; depression remained significant after adjusting with significant variables in binary logistics. Conclusion: Morbidity screening at each visit, individual as well as family counseling and lifestyle modifications help to cope with the rising burden of multimorbidity at the primary care level. More insight into the epidemiology of multi-morbidity is necessary to take steps to prevent it, lower its burden and align health-care services as per needs.
ABSTRACT
BACKGROUND: Elder abuse is an important public health problem hidden from public view in spite of its detrimental effect on physical and mental health. In the last three decades, there is responsiveness toward abuse of children and spouses worldwide but even today abuse and neglect of aged people seem to be the matter of least concern. This study aims to reveal the magnitude of elder abuse and its predictors. METHODS: This is a cross-sectional study carried out in a community setting among elderly people (60 years and older) from October 2015 to September 2017 in a rural area of West Bengal, eastern part of India. Elder abuse was elicited by questions adapted from the Actual Abuse Tool. Data were analysed using SPSS (version 16.0). Logistic regression analysis was performed to reveal the factors associated with elder abuse. RESULTS: The study found that 25.6% of the respondents had experienced abuse, psychological abuse being the commonest type. Disability was the most common perceived risk for abuse. Univariate logistic regression showed higher age (70 years and older), female gender, who were Scheduled caste, living in a nuclear family, having more than three children, financially and functionally dependent, who was suffering from depression and multimorbidity had increased odds of being abused. In multivariable logistic regression, people aged above 70 years, living in a nuclear family and dependent for instrumental activities of daily living remained significant predictors of abuse. CONCLUSION: Around one in four of the respondents was abused in a 1 year duration which implies the urgent need for action. Routine screening for elder abuse at ground level and abuse prevention campaigns can be an important measure to alleviate this hidden problem. Also, there is a need to explore culturally specific forms of elder abuse to provide an age-friendly environment.
