MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03082nab a22003497a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20250625151629.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
230120s2021 xxu||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
AFVC |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Chang, E-Shien |
| 9 (RLIN) |
11556 |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
High prevalence of elder abuse during the COVID-19 pandemic : |
| Remainder of title |
risk and resilience factors |
| Statement of responsibility, etc |
E-Shien Chang and Becca R. Levy |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Name of publisher, distributor, etc |
The American Journal of Geriatric Psychiatry, |
| Date of publication, distribution, etc |
2021 |
| 500 ## - GENERAL NOTE |
|---|
| General note |
The American Journal of Geriatric Psychiatry, 2021, 29(11): 1152-1159 |
| 520 ## - SUMMARY, ETC. |
|---|
| Expansion of summary note |
Objective:<br/>Before the COVID-19 pandemic, elder abuse affected one in 10 American older adults annually. It has been assumed that the pandemic has brought with it a surge in elder abuse due to individuals ordered to stay at home combined with increased interpersonal stressors. However, empirical evidence is lacking. This study aims to estimate the prevalence of, and risk and resilience factors of elder abuse during the pandemic.<br/><br/>Methods:<br/>The survey was conducted via two online platforms during April 23 and May 5, 2020, when all states had stay-at-home orders. The final cohort consisted of a sociodemographically diverse sample of 897 older persons in the United States. The prevalence of elder abuse was evaluated by a validated measure previously used in a population-based study of elder abuse. Pandemic-related factors were examined at the community, relational, and individual contexts. We conducted multivariate logistic regression analyses to examine determinants of elder abuse.<br/><br/>Results:<br/>One in five older persons in the study sample (n = 191; 21.3%) reported elder abuse, an increase of 83.6% from prevalence estimates before the pandemic. In the final models, sense of community emerged as a persistent protective factor for elder abuse (odds ratio [OR]: 0.89, 95% confidence interval [CI]: 0.85–0.93). At the relational level, physical distancing was associated with reduced risk of elder abuse (OR: 0.94, 95% CI: 0.90–0.98). At the individual level, financial strain was associated with increased risk of abuse (OR: 1.08, 95% CI: 1.02–1.14).<br/><br/>Conclusion:<br/>Health care professionals and policy makers must be prepared to address the increase in elder abuse associated with the evolving pandemic. (Authors' abstract). Record #7971 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
ELDER ABUSE |
| 9 (RLIN) |
220 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
COVID-19 |
| 9 (RLIN) |
8949 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
FINANCIAL ABUSE |
| 9 (RLIN) |
2968 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
OLDER PEOPLE |
| 9 (RLIN) |
414 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
PANDEMICS |
| 9 (RLIN) |
8950 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
PHYSICAL ABUSE |
| 9 (RLIN) |
439 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
PROTECTIVE FACTORS |
| 9 (RLIN) |
4270 |
| 650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
PSYCHOLOGICAL ABUSE |
| 9 (RLIN) |
472 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
PREVALENCE |
| 9 (RLIN) |
457 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
RISK FACTORS |
| 9 (RLIN) |
505 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
SURVEYS |
| 9 (RLIN) |
592 |
| 651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
|---|
| Geographic name |
INTERNATIONAL |
| 9 (RLIN) |
3624 |
| 651 #4 - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
|---|
| Geographic name |
UNITED STATES |
| 9 (RLIN) |
2646 |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Levy, Becca R. |
| 9 (RLIN) |
11557 |
| 773 0# - HOST ITEM ENTRY |
|---|
| Title |
The American Journal of Geriatric Psychiatry, 2021, 29(11): 1152-1159 |
| 830 ## - SERIES ADDED ENTRY--UNIFORM TITLE |
|---|
| Uniform title |
The American Journal of Geriatric Psychiatry |
| 9 (RLIN) |
11558 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="https://doi.org/10.1016/j.jagp.2021.01.007">https://doi.org/10.1016/j.jagp.2021.01.007</a> |
| Public note |
DOI: 10.1016/j.jagp.2021.01.007 (Open access) |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Journal article |
| Classification part |
news117 |
