Purpose According to the World Health Organization, quality of life (QOL) includes physical and mental health, emotional well-being, and social functioning. Using an adaptation of Andersen's behavioral model, we examined the associations between the three dimensions of QOL and needs and health behaviors in a nationally representative sample of adults 65 years and older. Methods A representative sample from the 2005–2006 National Health and Nutrition Examination Survey (NHANES) was used. NHANES over-samples persons 60 years and older, African Americans, and Hispanics. Frequencies and distribution patterns were assessed, followed by bivariate and multiple regression analyses. Results These older adults reported high levels of QOL. However, associations between needs and health behaviors and QOL varied across dimensions. Activities of daily living (ADL) were associated with all three dimensions. Depression was associated with two dimensions and memory problems with one dimension. Physical activity was linked to social functioning, and health care utilization was linked to emotional well-being. Conclusions The differences in associations with different dimensions of QOL confirm that this is a multidimensional concept. Since depression, memory problems, and ADL function were all associated with some dimension of QOL, future interventions to improve QOL in older adults should include screening and treatment for these problems.

Purpose The proportion of people over 65 years of age is higher in rural areas than in urban areas, and their numbers are expected to increase in the next decade. This study used Andersen’s behavioral model to examine quality of life (QOL) in a nationally representative sample of community-dwelling adults 65 years and older according to geographic location. Specifically, associations between 3 dimensions of QOL (health-related QOL [HQOL], social functioning, and emotional well-being) and needs and health behaviors were examined. Methods The 2005–2006 National Health and Nutrition Examination survey was linked with the 2007 Area Resources File via the National Center for Health Statistics’ remote access system. Frequencies and distribution patterns were assessed according to rural, adjacent, and urban locations. Findings Older adults reported high levels of QOL; however, rural older adults had lower social functioning than their urban counterparts. Older blacks and Hispanics had lower scores than whites on 2 dimensions of QOL. Associations between QOL and needs and health behaviors varied. Although activities of daily living were associated with all 3 dimensions, others were associated with 1 or 2 dimensions. Conclusions The lower scores on social functioning in rural areas suggest that rural older adults may be socially isolated. Older rural adults may need interventions to maintain physical and mental health, strengthen social relationships and support, and increase their participation in the community to promote QOL. In addition, older blacks and Hispanics seem more vulnerable than whites and may need more assistance.

Background Evidence supports the role of feedback in reinforcing motivation for behavior change. Feedback that provides reinforcement has the potential to increase dietary self-monitoring and enhance attainment of recommended dietary intake. Objective To examine the impact of daily feedback (DFB) messages, delivered remotely, on changes in dietary intake. Methods A secondary analysis of the SMART trial, a single-center, 24-month randomized clinical trial of behavioral treatment for weight loss. Participants included 210 obese adults (mean body mass index=34.0 kg/m2) who were randomized to either a paper diary (PD), personal digital assistant (PDA), or PDA plus daily, tailored feedback messages (PDA+FB). To determine the role of daily tailored feedback in dietary intake, we compared the self-monitoring with daily feedback group (DFB, n=70) to the self-monitoring without daily feedback group (No-DFB, n=140). All participants received a standard behavioral intervention for weight loss. Self-reported changes in dietary intake were compared between the DFB and No-DFB groups and were measured at baseline, 6, 12, 18, and 24 months. Linear mixed modeling was used to examine percent changes in dietary intake from baseline. Results Compared to the No-DFB group, the DFB group achieved a larger reduction in energy (−22.8% vs. −14.0%, p=0.02) and saturated fat (−11.3% vs. −0.5%, p=0.03) intake, and a trend toward a greater decrease in total fat intake (−10.4% vs. −4.7%, p=0.09). There were significant improvements over time in carbohydrate intake and total fat intake for both groups (p’s<0.05). Conclusion Daily, tailored feedback messages, designed to target energy and fat intake and delivered remotely in real-time using mobile devices, may play an important role in the reduction of energy and fat intake.