Self-rated health has been related to functional status, disability, and mortality in a variety of populations. This study examined whether self-rated health was related to physical activity levels independent of functional status in a population of older women. For this study, 9,704 women aged 65-99 rated their health on a scale ranging from excellent to very poor. Physical activity and functional status questionnaires and physical function tests were administered to evaluate levels of physical activity, strength, and function. Comparisons between women in three groups of self-rated health (good and excellent; fair; poor and very poor) indicated that higher self-rated health was strongly related to physical activity independent of physical strength, functional status, and co-morbidity. These findings suggest that physical activity is an important determinant of self-rated health in older women regardless of functional status.
Edward W. Gregg, Andrea M. Kriska, Kathleen M. Fox and Jane A. Cauley
Pia Laukkanen, Markku Kauppinen and Eino Heikkinen
Identifying predictors of functional limitations among the elderly is essential for planning and implementing appropriate preventive services. The purpose of this prospective study was to examine baseline physical activity as a predictor of health and functional ability outcomes 5 years later in people age 75 and 80 years at baseline. A clear trend was observed: The more physically active subjects had better health and functional ability compared to their more sedentary counterparts. After controlling for the baseline status, the degree of physical activity did not predict future disability but still maintained its predictive role at the level of disease severity. It is suggested that the level of habitual physical activity is an important predictor of health and functional ability among elderly people. Presumably, however, there is a reciprocal causal relationship between physical activity and health in elderly people. Physical activity counseling should therefore be included in preventive health strategies for the elderly.
Calvin H. Hirsch, Paula Diehr, Anne B. Newman, Shirley A. Gerrior, Charlotte Pratt, Michael D. Lebowitz and Sharon A. Jackson
Little is known about how many years of life and disability-free years seniors can gain through exercise. Using data from the Cardiovascular Health Study, the authors estimated the extra years of life and self-reported healthy life (over 11 years) and years without impairment in activities of daily living (over 6 years) associated with quintiles of physical activity (PA) in older adults from different age groups. They estimated PA from the Minnesota Leisure Time Activities Questionnaire. Multivariable linear regression adjusted for health-related covariates. The relative gains in survival and years of healthy life (YHL) generally were proportionate to the amount of PA, greater among those 75+, and higher in men. Compared with being sedentary, the most active men 75+ had 1.49 more YHL (95% CI: 0.79, 2.19), and the most active women 75+ had 1.06 more YHL (95% CI: 0.44, 1.68). Seniors over age 74 experience the largest relative gains in survival and healthy life from physical activity.
David Russell and Jo-Ana D. Chase
differing relationships with health status ( Kikuchi et al., 2014 ). For instance, TV watching has been identified as a risk factor for poor health including cardiovascular disease, diabetes, poor physical functioning, and mortality ( DiPietro, Jin, Talegawkar, & Matthews, 2017 ; Grøntved & Hu, 2011
Miguel A. Sanchez-Lastra, Vicente de Dios Álvarez and Carlos Ayán Pérez
Information regarding the participant characteristics (gender, age, health status, time in prison, and criminal profile), interventions (type of exercise, intensity, duration, frequency, adverse effects, and dropouts), variables assessed, and tests used for this purpose, and intervention effects were
Mary O. Whipple, Erica N. Schorr, Kristine M.C. Talley, Ruth Lindquist, Ulf G. Bronas and Diane Treat-Jacobson
of health research that could provide additional, complementary information to average values from a population. Thus, further work is needed to evaluate the prevalence of nonresponse to exercise interventions among older adults and the potential role of health status, baseline function, and other
Lukas K. Gaffney, Oscar D. Lozano, Adriana Almanza, Nubia Ruiz, Alejandro Mantero and Mark Stoutenberg
participants and conducting weekly exercise sessions, each monitor was responsible for administering program surveys to collect participant data. The HEVS program survey included 4 separate sections: personal information, current health status, lifestyle habits, and anthropomorphic measurements. The personal
Janet Lok Chun Lee and Rainbow Tin Hung Ho
housing (56%), and most indicated that their perceived health status was fair (59%). On average, informants had 6 years ( SD = 6.64) of experience using the EFC, and the weekly frequency of using the space was 5.4 days ( SD = 2.65). On average, they spent 55.8 min ( SD = 26.6) exercising at the EFCs
Jing Liao, Yung-Jen Yang and Dong (Roman) Xu
indicators of physical health status, namely, doctor-diagnosed diseases and body mass index (BMI), were included as key indicators in the propensity score calculation. These covariates were selected based on the comparability of measurements available across the 2 studies and their associations with
Ida A. Heikura, Louise M. Burke, Dan Bergland, Arja L.T. Uusitalo, Antti A. Mero and Trent Stellingwerff
single training camp. Specifically, we aimed to confirm previous findings on the effects of length of exposure to hypoxia on change in Hbmass. However, we also wanted to investigate whether additional factors, including sex, precamp Hbmass, health status (illness/injuries), EA, sex hormone concentrations