Elder abuse

Mion, Lorraine C.; Momeyer, Mary Alice

doi:10.1016/j.gerinurse.2019.11.003

Cited by 8 publications

(8 citation statements)

References 16 publications

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“…Physical abuse is mostly perpetrated by the spouse (62.5%), psychological abuse is perpetrated by the relative (37.5%), neglect is perpetrated by the relative (42.1%), economic abuse by the spouse and other relatives (46.2%), and sexual abuse by the spouse (42.8%). According to studies, the abuser is usually someone known to the victim, such as a family member, relative or neighbour 7,22 . According to Turhan et al’s study, people who abuse elderly individuals are mostly their families and close circles.…”

Section: Discussionmentioning

confidence: 99%

Elderly abuse, affecting factors and evaluation of life satisfaction: a cross‐sectional study

Yılmaz¹,

DURMAZ²,

Arıkan³

2022

Psychogeriatrics

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Background The aim of this study was to evaluate the frequency of abuse and its effect on life satisfaction in older adults living in our region. Method This research is a cross‐sectional study. The participants of the study were an elderly population who applied to one ‘family health centre’. The study was completed with the participation of 332 people. The study was carried out between June and July 2021. A questionnaire form, Geriatric Mistreatment Scale (GMS), Hwalek–Sengstock Elder Abuse Screening Test (H‐S/EAST), and Satisfaction with Life Scale (SWLS) were used in the study. Results According to the GMS, 16.0% of the participants experience abuse. Psychological abuse (6.92%) was the highest according to the GMS sub‐dimensions. This was followed by physical abuse (6.6%), neglect (1.8%), economic abuse (1.5%), and sexual abuse (1.5%). According to H‐S/EAST, 22.9% of participants experience abuse. The perpetrators of abuse are mostly spouses, children and relatives of the elderly. There is a negative correlation between the H‐S/EAST score and the SWLS score. Uneducated elderly people are exposed to abuse more than primary education graduates. Compared to the elderly living in a nuclear family, more abuse is seen in extended families and those living alone. Conclusion The fact that the houses in which the elderly live are not physically suitable increases the risk of abuse. Identifying and trying to minimise local risk factors for elder abuse can help reduce the prevalence of abuse. We hope that these data will be a guide for future intervention studies.

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Section: Discussionmentioning

confidence: 99%

Elderly abuse, affecting factors and evaluation of life satisfaction: a cross‐sectional study

Yılmaz¹,

DURMAZ²,

Arıkan³

2022

Psychogeriatrics

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“…Similar to our ndings, few other studies that aimed to assess burden of elder abuse have also reported that multimorbidity and functional dependency signi cantly increases the risk of elder abuse. (40)(41)(42)(43)(44) The pathways via which multimorbidity increases the risk of elder abuse, as evident in our study, may be related to the fact that multimorbidity leads to increased care dependance, healthcare utilization, frailty and functional dependence. (8-9) Therefore, potential interventions on reducing the economic, physical and care dependence among multimorbid patients may have potential to additionally reduce the risk of elder abuse.…”

Section: Discussionmentioning

confidence: 84%

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

Kshatri

Bhoi

Barik

et al. 2021

Preprint

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Introduction: Commensurate with demographic and lifestyle transition, increasing magnitude of multimorbidity is common among older adults in low- and middle-income countries (LMIC). At the same time the rising prevalence of elder abuse is concurrently observed in these populations. However, little is known about the elder abuse in the context of multimorbidity with no reports on their interplay from LMIC settings. This 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 was collected as a part of our ASHETS study encompassing 725 older adults residing in rural Odisha, India. Multimorbidity was assessed by previously validated MAQ PC tool. Hwalek-Sengstock elder abuse screening test (HS-EAST) was used to assess the risk of elder abuse. Care dependence was measured by Katz index questionnaire. We performed ordinal logistic regression models to identify the correlates of elder abuse. 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 care 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 risk of elder abuse was significantly associated with multimorbidity (AOR=1.88; 95%CI: 1.54-2.21), economic dependence (AOR=1.62; 95%CI: 1.25-1.99) and functional dependence (AOR=1.86; 95%CI: 1.42-2.29). Staying alone (AOR= 1.75; 95%CI: 1.13-2.38) and lower socio-economic status (AOR=2.96; 95%CI: 2.09-3.84) were two other significant correlates. Conclusions: Older adults with multimorbidity are at 1.88 times higher risk of elder abuse compared to their non-multimorbid counterparts. Both economic and functional dependence are associated with an increase in elder abuse. This suggests the mediating role of care dependence in the pathway to elder abuse in multimorbidity. Future geriatric multimorbidity assessment studies should consider screening for care dependence as well as elder abuse while designing integrated care models.

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“…Similar to our findings, few other studies that aimed to assess burden of elder abuse have also reported that multimorbidity and functional dependency significantly increases the risk of elder abuse. (40)(41)(42)(43)(44) The pathways via which multimorbidity increases the risk of elder abuse, as evident in our study, may be related to the fact that multimorbidity leads to increased care dependance, healthcare utilization, frailty and functional dependence. (8-9) Therefore, potential interventions on reducing the economic, physical and care dependence among multimorbid patients may have potential to additionally reduce the risk of elder abuse.…”

Section: Methodsmentioning

confidence: 84%

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

Kshatri

Bhoi

Barik

et al. 2021

Preprint

View full text Add to dashboard Cite

Introduction: Commensurate with demographic and lifestyle transition, increasing magnitude of multimorbidity is common among older adults in low and middle income countries (LMIC). At the same time the rising prevalence of elder abuse is concurrently observed in these populations. However, little is known about the elder abuse in the context of multimorbidity with no reports on their interplay from LMIC settings. This 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 was collected as a part of our ASHETS study encompassing 725 older adults residing in rural Odisha, India. Multimorbidity was assessed by previously validated MAQ PC tool. Hwalek Sengstock elder abuse screening test (HS EAST) was used to assess the risk of elder abuse. Care dependence was measured by Katz index questionnaire. We performed ordinal logistic regression models to identify the correlates of elder abuse. Results: Around 48.8% older adults had multimorbidity while 33.8% had some form of care dependence. Out of 725, 56.6% were found to be at low-risk elder abuse and 15.9% being at high risk. The risk of elder abuse was significantly associated with multimorbidity, economic dependence and functional dependence. Staying alone and lower socioeconomic status were two other significant correlates. Conclusions: Older adults with multimorbidity are at 1.88 times higher risk of elder abuse compared to their non multimorbid counterparts. Both economic and functional dependence are associated with an increase in elder abuse. This suggests the mediating role of care dependence in the pathway to elder abuse in multimorbidity. Future geriatric multimorbidity assessment studies should consider screening for care dependence as well as elder abuse while designing integrated care models. Keywords: Multimorbidity, elder abuse, care dependence, rural elderly, geriatric care, LMIC

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Elder abuse

Cited by 8 publications

References 16 publications

Elderly abuse, affecting factors and evaluation of life satisfaction: a cross‐sectional study

Elderly abuse, affecting factors and evaluation of life satisfaction: a cross‐sectional study

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

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

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