M Ganguli1, A Fox, J Gilby, S Belle. 1. Division of Geriatrics and Neuropsychiatry, Department of Psychiatry, Western Psychiatric Institute and Clinic, Pittsburgh, PA 15213-2593, USA.
Abstract
OBJECTIVE: To determine the frequency and characteristics of homebound older adults in a rural community. DESIGN: An epidemiological survey of an age-stratified random community sample. SETTING: The rural mid-Monongahela Valley in Southwestern Pennsylvania. PARTICIPANTS: A total of 878 noninstitutionalized persons aged 68 years and older, fluent in English, and with at least grade 6 education. MEASUREMENTS: The frequency with which subjects left their homes, the Mini-Mental State Examination (MMSE) score, and additional information on demographics, self-reported health problems, health services utilization, IADLs, depression, and social support were measured. RESULTS: 10.3% of the sample was classified as homebound. In univariate analyses, being homebound was found to be associated significantly (P < .001) with being older, female, and widowed and with MMSE and IADL impairment, with more depressive symptoms and worse social supports, fair to poor self-rated general health, weight loss, and histories of stroke, angina, arthritis of the spine, and falls. In a multiple regression model, variables associated independently with homebound status were gender (odds ratio = 9.4, 95% confidence interval = 3.6 - 24.9), weight loss (OR = 3.7, CI = 1.7 - 8.2), IADL impairment (OR = 2.6, CI = 2.1 - 3.1), and depressive symptoms (OR = 2.1, CI = 1.3 - 3.2). Being homebound was also associated with recent acute hospitalization and use of home health and social services. CONCLUSIONS: These data provide evidence that homebound older adults have a disproportionate share of morbidity and disability and suggest a sociodemographic and clinical profile to help identify those older people at risk of being or becoming homebound. They also point to the need for home-based health services for the older adults, particularly in medically underserved communities such as rural areas.
OBJECTIVE: To determine the frequency and characteristics of homebound older adults in a rural community. DESIGN: An epidemiological survey of an age-stratified random community sample. SETTING: The rural mid-Monongahela Valley in Southwestern Pennsylvania. PARTICIPANTS: A total of 878 noninstitutionalized persons aged 68 years and older, fluent in English, and with at least grade 6 education. MEASUREMENTS: The frequency with which subjects left their homes, the Mini-Mental State Examination (MMSE) score, and additional information on demographics, self-reported health problems, health services utilization, IADLs, depression, and social support were measured. RESULTS: 10.3% of the sample was classified as homebound. In univariate analyses, being homebound was found to be associated significantly (P < .001) with being older, female, and widowed and with MMSE and IADL impairment, with more depressive symptoms and worse social supports, fair to poor self-rated general health, weight loss, and histories of stroke, angina, arthritis of the spine, and falls. In a multiple regression model, variables associated independently with homebound status were gender (odds ratio = 9.4, 95% confidence interval = 3.6 - 24.9), weight loss (OR = 3.7, CI = 1.7 - 8.2), IADL impairment (OR = 2.6, CI = 2.1 - 3.1), and depressive symptoms (OR = 2.1, CI = 1.3 - 3.2). Being homebound was also associated with recent acute hospitalization and use of home health and social services. CONCLUSIONS: These data provide evidence that homebound older adults have a disproportionate share of morbidity and disability and suggest a sociodemographic and clinical profile to help identify those older people at risk of being or becoming homebound. They also point to the need for home-based health services for the older adults, particularly in medically underserved communities such as rural areas.
Authors: Ha T Nguyen; Joseph G Grzywacz; Sara A Quandt; Rebecca H Neiberg; Wei Lang; Kathryn Altizer; Eleanor P Stoller; Ronny A Bell; Thomas A Arcury Journal: Aging Ment Health Date: 2012-02-03 Impact factor: 3.658
Authors: Steven L Wolf; Komal Sahu; R Curtis Bay; Sharon Buchanan; Aimee Reiss; Susan Linder; Anson Rosenfeldt; Jay Alberts Journal: Neurorehabil Neural Repair Date: 2015-03-17 Impact factor: 3.919
Authors: Bradley R Wilsmore; Ronald R Grunstein; Marlene Fransen; Mark Woodward; Robyn Norton; Shanthi Ameratunga Journal: J Clin Sleep Med Date: 2013-06-15 Impact factor: 4.062