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Jensen-Battaglia M, Loh KP, Wang Y, Block RC, Mohile SG, Agree EM, Seplaki CL. Residential Relocation of Community-Dwelling Older Adults: The Role of Physical Function and the Housing Environment. J Aging Health 2024:8982643241293585. [PMID: 39437448 DOI: 10.1177/08982643241293585] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2024]
Abstract
OBJECTIVE Most older adults in the United States (U.S.) prefer to remain in their current housing as they age, but difficulty with mobility (e.g., walking) may make this more challenging. We estimated the association between difficulty with mobility (mobility) and residential relocation in the following year. METHODS We included adults aged ≥65 participating in ≥2 rounds (years 2011-2019) of the National Health and Aging Trends Study. Mobility was self-reported and change in permanent address was captured by study staff. We used a prospective cohort design and logistic regression with a clustering correction to estimate adjusted associations. RESULTS We did not find evidence that mobility was associated with relocation versus no relocation in our sample of 26,444 observations from 5699 older adults. However, mobility was positively associated with moves to housing with fewer environmental barriers. DISCUSSION Mobility is associated with relocation to housing that is more accessible and may be an indicator of greater need for supports to age in place.
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Affiliation(s)
- Marielle Jensen-Battaglia
- James P. Wilmot Cancer Institute, Rochester, NY, USA
- Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA
| | - Kah Poh Loh
- James P. Wilmot Cancer Institute, Rochester, NY, USA
- Division of Hematology/Oncology, Department of Medicine, University of Rochester Medical Center, Rochester, NY, USA
| | - Ying Wang
- James P. Wilmot Cancer Institute, Rochester, NY, USA
- Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA
| | - Robert C Block
- Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA
- Cardiology Division, Department of Medicine, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA
| | - Supriya G Mohile
- James P. Wilmot Cancer Institute, Rochester, NY, USA
- Division of Hematology/Oncology, Department of Medicine, University of Rochester Medical Center, Rochester, NY, USA
| | - Emily M Agree
- Department of Sociology, Johns Hopkins University, Baltimore, MD, USA
| | - Christopher L Seplaki
- Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA
- Department of Psychiatry, University of Rochester School of Medicine and Dentistry, Rochester NY, USA
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Kim I, Kim D. Residential mobility according to health status in South Korea's largest metropolitan city during the COVID-19 pandemic using generalized estimating equations for longitudinal data. Health Place 2024; 88:103265. [PMID: 38735151 DOI: 10.1016/j.healthplace.2024.103265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Revised: 04/30/2024] [Accepted: 05/02/2024] [Indexed: 05/14/2024]
Abstract
This study examines whether residential mobility differed according to health status in Seoul, the largest metropolitan city in South Korea, during the COVID-19 pandemic. Before the COVID-19 pandemic, people who moved had better health status in the baseline year than those who did not. However, during the pandemic, the residential mobility of people with poor health status increased, particularly in 2019-2020. This pattern appeared to be driven by the 55-74 age group. The effect of health status on residential mobility was not attenuated, even after adjusting for covariates at multiple levels.
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Affiliation(s)
- Ikhan Kim
- Department of Medical Humanities and Social Medicine, Kosin University College of Medicine, 262 Gamcheon-ro, Seo-gu, Busan, Republic of Korea.
| | - Duwon Kim
- Department of Social Welfare, Kosin University College of Health and Welfare, 194, Wachi-ro, Yeongdo-gu, Busan, Republic of Korea
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Bennett EE, Lynch KM, Xu X, Park ES, Ying Q, Wei J, Smith RL, Stewart JD, Whitsel EA, Power MC. Characteristics of movers and predictors of residential mobility in the Atherosclerosis Risk in Communities (ARIC) cohort. Health Place 2022; 74:102771. [PMID: 35247797 PMCID: PMC9004423 DOI: 10.1016/j.healthplace.2022.102771] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 02/11/2022] [Accepted: 02/15/2022] [Indexed: 11/23/2022]
Abstract
Current efforts to characterize movers and identify predictors of moving have been limited. We used the ARIC cohort to characterize non-movers, short-distance movers, and long-distance movers, and employed best subset algorithms to identify important predictors of moving, including interactions between characteristics. Short- and long-distance movers were notably different from non-movers, and important predictors of moving differed based on the distance of the residential move. Importantly, systematic inclusion of interaction terms enhanced model fit and was substantively meaningful. This work has important implications for epidemiologic studies of contextual exposures and those treating residential mobility as an exposure.
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Affiliation(s)
- Erin E Bennett
- Department of Epidemiology, The George Washington University Milken Institute School of Public Health, Washington, DC, USA.
| | - Katie M Lynch
- Department of Epidemiology, The George Washington University Milken Institute School of Public Health, Washington, DC, USA
| | - Xiaohui Xu
- Department of Epidemiology & Biostatistics, Texas A&M Health Science Center School of Public Health, College Station, TX, USA
| | - Eun Sug Park
- Texas A&M Transportation Institute, College Station, TX, USA
| | - Qi Ying
- Zachry Department of Civil & Environmental Engineering, Texas A&M University, College Station, TX, USA
| | - Jingkai Wei
- Department of Epidemiology, The George Washington University Milken Institute School of Public Health, Washington, DC, USA
| | - Richard L Smith
- Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - James D Stewart
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Eric A Whitsel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Department of Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Melinda C Power
- Department of Epidemiology, The George Washington University Milken Institute School of Public Health, Washington, DC, USA
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Prusynski RA, Frogner BK, Skillman SM, Dahal A, Mroz TM. Therapy Assistant Staffing and Patient Quality Outcomes in Skilled Nursing Facilities. J Appl Gerontol 2021; 41:352-362. [PMID: 34291695 DOI: 10.1177/07334648211033417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Therapy staffing declined in response to Medicare payment policy that removes incentives for intensive physical and occupational therapy in skilled nursing facilities, with therapy assistant staffing more impacted than therapist staffing. However, it is unknown whether therapy assistant staffing is associated with patient outcomes. Using 2017 national data, we examined associations between therapy assistant staffing and three outcomes: patient functional improvement, community discharge, and hospital readmissions, controlling for therapy intensity and facility characteristics. Assistant staffing was not associated with functional improvement. Compared with employing no assistants, staffing 25% to 75% occupational therapy assistants and 25% to 50% physical therapist assistants were associated with more community discharges. Higher occupational therapy assistant staffing was associated with higher readmissions. Higher intensity physical therapy was associated with better quality across outcomes. Skilled nursing facilities seeking to maximize profit while maintaining quality may be successful by choosing to employ more physical therapy assistants rather than sacrificing physical therapy intensity.
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Cheng M, Cui X. Spatial Optimization of Residential Care Facility Configuration Based on the Integration of Modified Immune Algorithm and GIS: A Case Study of Jing'an District in Shanghai, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17218090. [PMID: 33153047 PMCID: PMC7662911 DOI: 10.3390/ijerph17218090] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Revised: 10/28/2020] [Accepted: 10/29/2020] [Indexed: 11/25/2022]
Abstract
As the population is aging rapidly, the irrationality of residential care facility (RCF) configuration has impacted the efficiency and quality of the aged care services so significantly that the optimization of RCF configuration is urgently required. A multi-objective spatial optimization model for the RCF configuration is developed by considering the demands of three stakeholders, including the government, the elderly, and the investor. A modified immune algorithm (MIA) is implemented to find the optimal solutions, and the geographic information system (GIS) is used to extract information on spatial relationships and visually display optimization results. Jing’an District, part of Shanghai, China, is analyzed as a case study to demonstrate the advantages of this integrated approach. The configuration rationality of existing residential care facilities (RCFs) is analyzed, and a detailed recommendation for optimization is proposed. The results indicate that the number of existing RCFs is deficient; the locations of some RCFs are unreasonable, and there is a large gap between the service supply of existing RCFs and the demands of the elderly. To fully meet the care demands of the elderly, 6 new facilities containing 1193 beds are needed to be added. In comparison with the optimization results of other algorithms, MIA is superior in terms of the calculation accuracy and convergence rate. Based on the integration of MIA and GIS, the quantity, locations, and scale of RCFs can be optimized simultaneously, effectively, and comprehensively. The optimization scheme has improved the equity and efficiency of RCF configuration, increased the profits of investors, and reduced the travel costs of the elderly. The proposed method and optimization results have reference value for policy-making and planning of RCFs as well as other public service facilities.
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Affiliation(s)
- Min Cheng
- Department of Management Science and Engineering, School of Management, Shanghai University, Shanghai 201900, China;
| | - Xiao Cui
- Department of Construction Management and Real Estate, School of Economics & Management, Tongji University, Shanghai 200092, China
- Correspondence: ; Tel.: +86-18817665931
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Granbom M, Perrin N, Szanton S, Cudjoe TK, Gitlin LN. Household Accessibility and Residential Relocation in Older Adults. J Gerontol B Psychol Sci Soc Sci 2019; 74:e72-e83. [PMID: 30388250 PMCID: PMC6748711 DOI: 10.1093/geronb/gby131] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVES It is unclear how home environmental factors influence relocation decisions. We examined whether indoor accessibility, entrance accessibility, bathroom safety features, housing type, and housing condition were associated with relocations either within the community or to residential care facilities. METHODS We used prospective data over 4 years from the nationally representative National Health and Aging Trends Study in the United States of Medicare beneficiaries 65 years and older living in the community (N = 7,197). We used multinomial regression analysis with survey weights. RESULTS Over the 4 years, 8.2% of the population moved within the community, and 3.9% moved to residential care facilities. After adjusting for demographics and health factors, poor indoor accessibility was found to be associated with moves within the community but not to residential care facilities. No additional home environmental factors were associated with relocation. DISCUSSION One-floor dwellings, access to a lift, or having a kitchen, bedroom, and bathroom on the same floor may help older adults age in place. Understanding which modifiable home environmental factors trigger late-life relocation, and to where, has practical implications for developing policies and programs to help older adults age in their place of choice.
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Affiliation(s)
- Marianne Granbom
- Department of Community-Public Health, Center for Innovative Care in Aging,
School of Nursing, Johns Hopkins University, Baltimore, Maryland
- Department of Health Sciences, Lund University, Sweden
| | - Nancy Perrin
- Department of Community-Public Health, Center for Innovative Care in Aging,
School of Nursing, Johns Hopkins University, Baltimore, Maryland
| | - Sarah Szanton
- Department of Community-Public Health, Center for Innovative Care in Aging,
School of Nursing, Johns Hopkins University, Baltimore, Maryland
| | - Thomas K.M. Cudjoe
- Center on Aging and Health, Johns Hopkins Medical Institutions,
Baltimore, Maryland
| | - Laura N Gitlin
- Department of Community-Public Health, Center for Innovative Care in Aging,
School of Nursing, Johns Hopkins University, Baltimore, Maryland
- College of Nursing and Health Professions, Drexel University,
Philadelphia, Pennsylvania
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