Is multimorbidity associated with risk of elder abuse? Findings from the AHSETS study

Abstract Background With an increasing number of older adults in low- and middle-income countries (LMIC), the burden of multimorbidity and functional dependence is on the rise. At the same time, a higher prevalence of elder abuse is observed in these populations. There is scarce evidence on the inte...

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Main Authors: Jaya Singh Kshatri, Trilochan Bhoi, Shakti Ranjan Barik, Subrata Kumar Palo, Sanghamitra Pati
Format: Article
Language:English
Published: BMC 2021-07-01
Series:BMC Geriatrics
Subjects:
Online Access:https://doi.org/10.1186/s12877-021-02347-y
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spelling doaj-3ec84c0676e7473c8493b9d60b8469ee2021-07-04T11:12:18ZengBMCBMC Geriatrics1471-23182021-07-012111810.1186/s12877-021-02347-yIs multimorbidity associated with risk of elder abuse? Findings from the AHSETS studyJaya Singh Kshatri0Trilochan Bhoi1Shakti Ranjan Barik2Subrata Kumar Palo3Sanghamitra Pati4Department of Health Research, ICMR-Regional Medical Research CenterDepartment of Health Research, ICMR-Regional Medical Research CenterDepartment of Health Research, ICMR-Regional Medical Research CenterDepartment of Health Research, ICMR-Regional Medical Research CenterDepartment of Health Research, ICMR-Regional Medical Research CenterAbstract Background With an increasing number of older adults in low- and middle-income countries (LMIC), the burden of multimorbidity and functional dependence is on the rise. At the same time, a higher prevalence of elder abuse is observed in these populations. There is scarce evidence on the interplay between elder abuse and multimorbidity with no reports from LMIC settings yet. Present study examined the association of multimorbidity with the risk of elder abuse and its correlates in a rural elderly population of Odisha, India. Methods The data for this study was collected as a part of our AHSETS study comprising of 725 older adults residing in rural Odisha, India. Multimorbidity was assessed by the MAQ PC tool while Hwalek-Sengstock elder abuse screening test (HS-EAST) was used to assess the risk of elder abuse. Functional dependence was measured by the Lawton IADL questionnaire. We used ordinal logistic regression models to identify the correlates of elder abuse and test for mediation by functional dependence. Results Around 48.8 % (95 % CI:45.13–52.53 %) older adults had multimorbidity while 33.8 % (95 % CI:30.35–37.35 %) had some form of dependence. Out of 725, 56.6 % (CI 52.85–60.19 %) were found to be at low-risk elder abuse and 15.9 % (CI 13.27–18.72 %) being at high-risk. The prevalence of higher risk of elder abuse was greater among females, non-literates, widowed persons, those not currently working and those belonging to lower socio-economic strata. The risk of elder abuse was significantly associated with multimorbidity (AOR = 1.68; 95 %CI: 1.11–2.57) and functional dependence (AOR = 2.08; 95 %CI: 1.41–3.06). Additionally, we found a partial mediation mechanism of functional dependency between the pathway of multimorbidity and elder abuse. Conclusions Elder abuse and multimorbidity are emerging as issues of significant concern among rural elderly in Odisha, India. Multimorbidity and functional dependence are associated with significantly higher odds of elder abuse among rural older adults. Further, we report the role of functional dependence as a partial mediator between multimorbidity and elder abuse. Therefore, potential interventions on reducing the economic, physical and care dependence among multimorbid patients may reduce the risk of elder abuse.https://doi.org/10.1186/s12877-021-02347-yMultimorbidityElder abuseCare dependenceRural elderlyGeriatric careLMIC
collection DOAJ
language English
format Article
sources DOAJ
author Jaya Singh Kshatri
Trilochan Bhoi
Shakti Ranjan Barik
Subrata Kumar Palo
Sanghamitra Pati
spellingShingle Jaya Singh Kshatri
Trilochan Bhoi
Shakti Ranjan Barik
Subrata Kumar Palo
Sanghamitra Pati
Is multimorbidity associated with risk of elder abuse? Findings from the AHSETS study
BMC Geriatrics
Multimorbidity
Elder abuse
Care dependence
Rural elderly
Geriatric care
LMIC
author_facet Jaya Singh Kshatri
Trilochan Bhoi
Shakti Ranjan Barik
Subrata Kumar Palo
Sanghamitra Pati
author_sort Jaya Singh Kshatri
title Is multimorbidity associated with risk of elder abuse? Findings from the AHSETS study
title_short Is multimorbidity associated with risk of elder abuse? Findings from the AHSETS study
title_full Is multimorbidity associated with risk of elder abuse? Findings from the AHSETS study
title_fullStr Is multimorbidity associated with risk of elder abuse? Findings from the AHSETS study
title_full_unstemmed Is multimorbidity associated with risk of elder abuse? Findings from the AHSETS study
title_sort is multimorbidity associated with risk of elder abuse? findings from the ahsets study
publisher BMC
series BMC Geriatrics
issn 1471-2318
publishDate 2021-07-01
description Abstract Background With an increasing number of older adults in low- and middle-income countries (LMIC), the burden of multimorbidity and functional dependence is on the rise. At the same time, a higher prevalence of elder abuse is observed in these populations. There is scarce evidence on the interplay between elder abuse and multimorbidity with no reports from LMIC settings yet. Present study examined the association of multimorbidity with the risk of elder abuse and its correlates in a rural elderly population of Odisha, India. Methods The data for this study was collected as a part of our AHSETS study comprising of 725 older adults residing in rural Odisha, India. Multimorbidity was assessed by the MAQ PC tool while Hwalek-Sengstock elder abuse screening test (HS-EAST) was used to assess the risk of elder abuse. Functional dependence was measured by the Lawton IADL questionnaire. We used ordinal logistic regression models to identify the correlates of elder abuse and test for mediation by functional dependence. Results Around 48.8 % (95 % CI:45.13–52.53 %) older adults had multimorbidity while 33.8 % (95 % CI:30.35–37.35 %) had some form of dependence. Out of 725, 56.6 % (CI 52.85–60.19 %) were found to be at low-risk elder abuse and 15.9 % (CI 13.27–18.72 %) being at high-risk. The prevalence of higher risk of elder abuse was greater among females, non-literates, widowed persons, those not currently working and those belonging to lower socio-economic strata. The risk of elder abuse was significantly associated with multimorbidity (AOR = 1.68; 95 %CI: 1.11–2.57) and functional dependence (AOR = 2.08; 95 %CI: 1.41–3.06). Additionally, we found a partial mediation mechanism of functional dependency between the pathway of multimorbidity and elder abuse. Conclusions Elder abuse and multimorbidity are emerging as issues of significant concern among rural elderly in Odisha, India. Multimorbidity and functional dependence are associated with significantly higher odds of elder abuse among rural older adults. Further, we report the role of functional dependence as a partial mediator between multimorbidity and elder abuse. Therefore, potential interventions on reducing the economic, physical and care dependence among multimorbid patients may reduce the risk of elder abuse.
topic Multimorbidity
Elder abuse
Care dependence
Rural elderly
Geriatric care
LMIC
url https://doi.org/10.1186/s12877-021-02347-y
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