ArticleBMC geriatrics2017
Patterns of instrumental activities of daily living and association with predictors among community-dwelling older women: A latent class analysis.
Article in BMC geriatrics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Relationship between nutritional status and functional capacity in the elderly of Amirkola City.Journal of education and health promotion · 2026Article
- Does caring for grandchildren influence life satisfaction? A national-level analysis among older adults in India using a propensity score matching approach.BMC public health · 2025Article
- Dependency profile of the older adult population of a family health unit in northern Portugal.Frontiers in public health · 2025Article
- Social capital and well-being of the elderly 'left-behind' by their migrant children in India.BMC public health · 2023Article
- Active and productive ageing in India: evidence from the time use pattern of ageing adults.BMC geriatrics · 2023Article
- Comparison between the General Assessment of Hospitalised Patient Tool and the Barthel Index: A Retrospective Study.Nursing reports (Pavia, Italy) · 2023Article
- Cognitive Function and Depressive Symptoms among Chinese Adults Aged 40 Years and Above: The Mediating Roles of IADL Disability and Life Satisfaction.International journal of environmental research and public health · 2023Article
- Instrumental activities of daily living trajectories and risk of mild cognitive impairment among Chinese older adults: results of the Chinese longitudinal healthy longevity survey, 2002-2018.Frontiers in public health · 2023Article
- Patterns of change and factors associated with IADL function decline in community-dwelling older adults with arthritis.Scientific reports · 2022Article
- A Longitudinal Study of Cognitive and Instrumental Activities of Daily Living Disablement Among the Oldest Mexican Americans.Journal of aging and health · 2022Article
- Quality of Life and Activities of Daily Living among Patients with Complete Cervical Spinal Cord Injury and Surgical Treatment in Vietnam.International journal of environmental research and public health · 2021Article
- Many classes, restricted measurement (MACREM) models for improved measurement of activities of daily living.Journal of survey statistics and methodology · 2021Article
- Serum albumin and activities of daily living in Chinese centenarians: a cross-sectional study.BMC geriatrics · 2020Article
- Social capital and the health of left-behind older adults in rural China: a cross-sectional study.BMJ open · 2019Article
- Disability for basic and instrumental activities of daily living in older individuals.PloS one · 2019Article
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Authors and funding
2 authors.
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Abstract
backgroundThe purpose of this study was to classify patterns of instrumental activities of daily living (IADL) among community-dwelling older women, to examine difference in characteristics among the classes, and to explore predictors of class membership.
methodsThis study was a secondary analysis of nationwide data from the 2014 Actual Living Condition of the Elderly and Welfare Need Survey. A total of 10,451 individuals aged 65 years or older were interviewed for the 2014 dataset, but we only selected the female participants (n = 6095) for this study. For statistical analyses, latent class analysis was applied to identify different latent classes of IADL and then the effects of predictors on IADL patterns were analyzed by using multinomial logistic regression.
resultsThe 5-class model was the best fit for the data. The size of class 1was the biggest (n = 5093, 83.6%), followed by class 5 (n = 401, 6.6%), class 3 (n = 308, 5.1%), class 2 (n = 181, 3.0%), and class 4 (n = 113, 1.8%). The largest class had total independency on all items of IADL. In the multinomial regression, members in the classes 2, 3, 4 and 5 were significantly more likely to have older age and decreased cognitive status compared with the class of total independency on all items of IADL (class1).
conclusionsThe predictors of the classes identified in this study can be used for tailored and targeted interventions to increased old adults' independency on IADL.
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