Obesity appears to be associated with greater risk of falling in older adults, as well as a higher risk of greater ADL disability after a fall. Obesity (BMI ≥ 40 kg/m(2) ) may reduce the risk of injury from a fall. Further investigation of the mechanisms of obesity on falls and related health outcomes is warranted.
OBJECTIVE -To explore the relationship between marital relationship domains (i.e., intimacy and adjustment) and glycemic control and psychosocial adaptation to diabetes. RESEARCH DESIGN AND METHODS -A total of 78 insulin-treated adults with both type 1 and type 2 diabetes were assessed on a single occasion. They completed two marital quality measures (Spanier Dyadic Adjustment Scale and Personal Assessment of Intimacy in Relationships Scale) and four quality-of-life measures (Diabetes Quality of Life Scale, Medical Outcomes Study Health Survey, Problem Areas in Diabetes Scale, and Positive and Negative Affect Scale). Glycemic control was assessed by HbA 1c . Demographic data (age, sex, type and duration of diabetes, years married, other medical conditions, family history, disability, and years of education) were gathered from the chart and questionnaires.RESULTS -Concerning psychosocial adaptation, both of the marital quality measures were predictors of aspects of adaptation. Better marital satisfaction was related to higher levels of diabetes-related satisfaction and less impact, as well as less diabetes-related distress and better general quality of life. Higher levels of marital intimacy were related to better diabetes-specific and general quality of life. Concerning glycemic control, there was a nonsignificant trend for marital adjustment scores to relate to HbA 1c (P ϭ 0.0568).CONCLUSIONS -For insulin-treated adults with diabetes, quality of marriage is associated with adaptation to diabetes and other aspects of health-related quality of life. The suggestive finding that marital adjustment may relate to glycemic control warrants further study. Future work should also explore the impact of couples-focused interventions on adaptation, adherence, and glycemic control.
Little is known about the effects of obesity late in life. Using data from the Longitudinal Study of Aging and the Assets and Health Dynamics of the Oldest Old Survey, this study finds an increased prevalence of obesity, over time, among those 70 and older. Obesity is related most strongly to limitations in activities of daily living (ADLs) for women and to activities related to mobility. One ADL, eating, has a negative association to obesity. Obesity is associated with an increased prevalence of arthritis, diabetes, and hypertension. These results are cross-sectional and are based on self-reports of height and weight; they must be interpreted cautiously.
This article develops and applies two expressions for the rate of change of a population's mean age. In one, aging is shown to be negatively related to contemporary birth rates and death rates. In a general sense, aging occurs when vital rates are too low, as illustrated through applications to the United States, the Netherlands, and Japan. The other expression relates the rate of aging to a population's demographic history, in particular to changes in mortality, migration, and the annual number of births. Applications to the United States and Sweden show that the dominant factor in current aging in these countries is a history of declining mortality. Migration also contributes significantly but in opposite directions in the two countries. The two approaches are integrated after recognizing that the rate of change in the mean age is equal to the covariance between age and age-specific growth rates. A decomposition of this covariance shows that the two seemingly unrelated expressions contain exactly the same information about the age pattern of growth rates.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.