| Literature DB >> 29924801 |
Uday Narayan Yadav1,2, Man Kumar Tamang3, Grish Paudel1, Bharat Kafle4, Suresh Mehta5, Varalakshmi Chandra Sekaran6, Jeroen R J H Gruiskens7.
Abstract
BACKGROUND: Elder mistreatment is a well-recognized public health issue with complex underlying factors. The current study hypothesized that there is no effect of any of the following factors on any type of elder mistreatment: ethnicity, age group, education status, gender, living arrangement, concentration problems, medication for any disease, income level of caregiver, use of alcohol and tobacco products, and dependence on family or caregivers for daily activities.Entities:
Mesh:
Year: 2018 PMID: 29924801 PMCID: PMC6010235 DOI: 10.1371/journal.pone.0198410
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Fig illustrates the flow diagram of the study subjects based on the STrengthening the Reporting of OBservational studies in Epidemiology (STROBE) guidelines [16].
Socio-demographic profiles of study participants (n = 339).
| Variables | Frequency | Percentage |
|---|---|---|
| Gender | ||
| Male | 181 | 53.4 |
| Female | 158 | 46.6 |
| Age category(in years) | ||
| 60–74 | 252 | 74.3 |
| 75–84 | 67 | 19.8 |
| ≥85 | 20 | 5.9 |
| Marital status | ||
| Married | 228 | 67.3 |
| Separated/unmarried/polygamy | 111 | 32.7 |
| Ethnicity | ||
| Upper caste (Brahmin/Chhetri) | 160 | 47.2 |
| Indigenous caste | 122 | 36.0 |
| Dalit (backward class in the traditional Hindu caste system) | 57 | 16.8 |
| Religion | ||
| Hindu | 326 | 96.2 |
| Islam | 10 | 2.9 |
| Christian | 3 | 0.9 |
| Educational status | ||
| Educated | 150 | 44.2 |
| Illiterate | 189 | 55.8 |
| Monthly income of family/caregiver | ||
| ≤20,000 | 246 | 72.6 |
| 21,000–30,000 | 48 | 14.1 |
| ≥31,000 | 45 | 13.3 |
| Living arrangement | ||
| Daughter and son-in-law | 10 | 2.9 |
| Son and daughter-in-law | 203 | 59.9 |
| Spouse/relatives | 126 | 37.2 |
| Current practice of smoking | ||
| Yes | 60 | 17.7 |
| No | 279 | 82.3 |
| Current practice of drinking alcohol | ||
| Yes | 42 | 12.4 |
| No | 297 | 87.6 |
Gender-stratified prevalence of various types of elder mistreatment.
| Types of mistreatment | Prevalence | Prevalence | Overall | 95% CI | |
|---|---|---|---|---|---|
| (%) among | (%) | prevalence | |||
| females | among males | (%) | |||
| Any mistreatment | 65.2 | 58.6 | 61.7 | 56.5–66.8 | |
| Physical mistreatment | 3.2 | 1.7 | 2.4 | 0.7–4.0 | |
| Psychological | 24.7 | 20.4 | 22.4 | 17.9–26.8 | |
| mistreatment | |||||
| Family/caregiver neglect | 62.0 | 53.6 | 57.5 | 52.2–62.8 | |
| Financial mistreatment | 15.8 | 8.8 | 12.1 | 8.6–15.5 | |
| Stranger mistreatment | 7.0 | 9.4 | 8.3 | 5.3–11.2 | |
Stepwise multivariable logistic regression analysis for some form of elder mistreatment and its subtypes among the elder population.
| Variables | Any mistreatment OR (95%CI) |
|---|---|
| Depending on family/caregivers for Daily living activities | |
| No | 1 |
| Yes | 2.26(1.38–3.69) |
| Education status | |
| Educated | 1 |
| Illiterate | 1.69(1.01–2.82) |
| Having concentration problems | |
| No | 1 |
| Yes | 1.94(1.19–3.16) |
Variables included in the model were ethnicity, education, marital status, gender, living arrangement, employment, and dependency on daily living activities, exercise performance, concentration problems, and medication for any disease.
Stepwise multivariable logistic regression analysis for mistreatment subtypes among the elder population.
| Variables | Subtypes of elder mistreatment OR(95%CI) | ||
|---|---|---|---|
| Psychological | Caregiver neglect | Financial | |
| Living arrangement | |||
| Daughter and son-in-law | —- | —- | 1.63(.18–14.59) |
| Son and daughter-in-law | —- | —- | 2.76(1.22–6.20) |
| Spouse/relatives | —- | —- | 1 |
| Education status | |||
| Educated | —- | 1 | —- |
| Illiterate | —- | 1.69(1.01–2.83) | —- |
| Taking medication for any morbidity | |||
| No | 1 | —- | —- |
| Yes | 1.82(1.01–3.29) | —- | —- |
| Monthly income of family/caregiver | |||
| ≤20,000 | 3.01(1.09–8.31) | ||
| 21000–30000 | 1.22(0.31–4.71) | ||
| ≥31,000 | 1 | ||
| Ethnicity | |||
| Upper caste (Brahmin/Chhetri) | 1 | ||
| Indigenous caste | 0.95(0.50–1.83) | ||
| Dalit (backward class in the traditional Hindu caste system) | 2.36(1.17–4.75) | ||
| Experienced concentration problems | |||
| No | —- | 1 | |
| Yes | —- | 2.03(1.25–3.28) | |
The variable included for multivariable analysis model were: Ethnicity, Education, Marital status, gender, Living Arrangement, Employment, and Dependency on Daily Living activities, Exercise performance, Concentration problems, and medication for any disease.
** 1 USD = 104 Nepalese Rupee (Available from: https://www.nrb.org.np/fxmexchangerate.php, April 2017)