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      Neighborhood Environment and Falls among Community-Dwelling Older Adults

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          Abstract

          Background: Falls present a major challenge to active aging, but the relationship between neighborhood factors and falls is poorly understood. This study examined the relationship between fall events and neighborhood factors, including neighborhood social cohesion (sense of belonging, trust, friendliness, and helpfulness) and physical environment (vandalism/graffiti, rubbish, vacant/deserted houses, and perceived safety walking home at night). Methods: Data were analyzed from 9259 participants over four biennial waves (2006–2012) of the Health and Retirement Study (HRS), a nationally representative sample of adults aged 65 and older in the United States. Results: In models adjusting for demographic and health-related covariates, a one-unit increase in neighborhood social cohesion was associated with 4% lower odds of experiencing a single fall (odds ratio (OR): 0.96, 95% confidence interval (CI): 0.93–0.99) and 6% lower odds of experiencing multiple falls (OR: 0.94, 95% CI: 0.90–0.98). A one-unit increase in the physical environment scale was associated with 4% lower odds of experiencing a single fall (OR: 0.96, 95% CI: 0.93–0.99) and with 5% lower odds of experiencing multiple falls (OR: 0.95, 95% CI: 0.91–1.00) in adjusted models. Conclusions: The physical and social neighborhood environment may affect fall risk among community-dwelling older adults. Findings support the ongoing need for evidence-based fall prevention programming in community and clinical settings.

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          Most cited references54

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          Risk factors for falls among elderly persons living in the community.

          To study risk factors for falling, we conducted a one-year prospective investigation, using a sample of 336 persons at least 75 years of age who were living in the community. All subjects underwent detailed clinical evaluation, including standardized measures of mental status, strength, reflexes, balance, and gait; in addition, we inspected their homes for environmental hazards. Falls and their circumstances were identified during bimonthly telephone calls. During one year of follow-up, 108 subjects (32 percent) fell at least once; 24 percent of those who fell had serious injuries and 6 percent had fractures. Predisposing factors for falls were identified in linear-logistic models. The adjusted odds ratio for sedative use was 28.3; for cognitive impairment, 5.0; for disability of the lower extremities, 3.8; for palmomental reflex, 3.0; for abnormalities of balance and gait, 1.9; and for foot problems, 1.8; the lower bounds of the 95 percent confidence intervals were 1 or more for all variables. The risk of falling increased linearly with the number of risk factors, from 8 percent with none to 78 percent with four or more risk factors (P less than 0.0001). About 10 percent of the falls occurred during acute illness, 5 percent during hazardous activity, and 44 percent in the presence of environmental hazards. We conclude that falls among older persons living in the community are common and that a simple clinical assessment can identify the elderly persons who are at the greatest risk of falling.
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            Compendium of physical activities: an update of activity codes and MET intensities.

            We provide an updated version of the Compendium of Physical Activities, a coding scheme that classifies specific physical activity (PA) by rate of energy expenditure. It was developed to enhance the comparability of results across studies using self-reports of PA. The Compendium coding scheme links a five-digit code that describes physical activities by major headings (e.g., occupation, transportation, etc.) and specific activities within each major heading with its intensity, defined as the ratio of work metabolic rate to a standard resting metabolic rate (MET). Energy expenditure in MET-minutes, MET-hours, kcal, or kcal per kilogram body weight can be estimated for specific activities by type or MET intensity. Additions to the Compendium were obtained from studies describing daily PA patterns of adults and studies measuring the energy cost of specific physical activities in field settings. The updated version includes two new major headings of volunteer and religious activities, extends the number of specific activities from 477 to 605, and provides updated MET intensity levels for selected activities.
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              A multifactorial intervention to reduce the risk of falling among elderly people living in the community.

              Since falling is associated with serious morbidity among elderly people, we investigated whether the risk of falling could be reduced by modifying known risk factors. We studied 301 men and women living in the community who were at least 70 years of age and who had at least one of the following risk factors for falling: postural hypotension; use of sedatives; use of at least four prescription medications; and impairment in arm or leg strength or range of motion, balance, ability to move safely from bed to chair or to the bathtub or toilet (transfer skills), or gait. These subjects were given either a combination of adjustment in their medications, behavioral instructions, and exercise programs aimed at modifying their risk factors (intervention group, 153 subjects) or usual health care plus social visits (control group, 148 subjects). During one year of follow-up, 35 percent of the intervention group fell, as compared with 47 percent of the control group (P = 0.04). The adjusted incidence-rate ratio for falling in the intervention group as compared with the control group was 0.69 (95 percent confidence interval, 0.52 to 0.90). Among the subjects who had a particular risk factor at base line, a smaller percentage of those in the intervention group than of those in the control group still had the risk factor at the time of reassessment, as follows: at least four prescription medications, 63 percent versus 86 percent, P = 0.009; balance impairment, 21 percent versus 46 percent, P = 0.001; impairment in toilet-transfer skills, 49 percent versus 65 percent, P = 0.05; and gait impairment, 45 percent versus 62 percent, P = 0.07. The multiple-risk-factor intervention strategy resulted in a significant reduction in the risk of falling among elderly persons in the community. In addition, the proportion of persons who had the targeted risk factors for falling was reduced in the intervention group, as compared with the control group. Thus, risk-factor modification may partially explain the reduction in the risk of falling.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                10 February 2017
                February 2017
                : 14
                : 2
                : 175
                Affiliations
                [1 ]School of Social Work, The University of Michigan, Ann Arbor, MI 48109, USA
                [2 ]Department of Psychiatry, Dartmouth Geisel School of Medicine, Lebanon, NH 03766, USA; matt.lohman@ 123456gmail.com
                [3 ]Department of Health Promotion and Behavior, Institute of Gerontology, College of Public Health, University of Georgia, Athens, GA 30602, USA; health@ 123456uga.edu
                [4 ]Department of Health Promotion and Community Health Sciences, School of Public Health, Texas A&M University, College Station, TX 77842, USA
                Author notes
                [* ]Correspondence: enicklet@ 123456umich.edu ; Tel.: +1-734-763-6282
                Article
                ijerph-14-00175
                10.3390/ijerph14020175
                5334729
                28208598
                b8cec66c-3198-4138-adb5-641699656be1
                © 2017 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 10 January 2017
                : 06 February 2017
                Categories
                Article

                Public health
                neighborhood factors,social cohesion,physical disorder,older adults,fall events
                Public health
                neighborhood factors, social cohesion, physical disorder, older adults, fall events

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