Gender is thought to be an important factor in metabolic syndrome and its outcomes. Despite a number of studies that have demonstrated differences in metabolism and its components that are dependent on gender, limited information about gender differences on the characteristics of metabolic syndrome and its components is available regarding the Korean old adult population. This study aimed to identify gender differences in characteristics of the metabolic syndrome and other risk factors for cardiovascular disease.

Objectives: The purpose of this study was to identify the characteristics associated with fear-induced activity restriction and determine those that distinguish older adults with fear-induced activity restriction from those with fear of falling alone. Method: Data taken from the survey of the Korean Longitudinal Study of Aging in 2010 were analyzed. Multiple logistic regression analysis was used to assess factors associated with fear of falling and fear-induced activity restriction. Results: A total of 22.5% of the participants reported no fear of falling, 48.6% reported fear of falling alone, and 28.9% reported fear-induced activity restriction. Characteristics independently associated with fear-induced activity restriction were low socioeconomic status, cognitive impairment, difficulty with activities of daily living, and a history of injurious falls. Discussion: The differences between older adults with fear-induced activity restriction and those with fear of falling alone may guide refinement of intervention and preventive programs.

The purpose of this study was to explore African American midlife women’s attitudes toward physical activity. Using a feminist perspective, a 6-month online forum was conducted with 21 African American midlife women recruited on the Internet. The data were analyzed using thematic analysis. Four themes emerged: (a) culturally acceptable body, (b) missed opportunity to learn, (c) physical activity as a luxury, and (d) want to do by myself. The women had positive body images regardless of their actual weight. The women considered physical activity “a luxury” in their busy lives and thought that they had already missed opportunities to learn. The women wanted to participate in physical activities alone because of their bad childhood experiences and hesitance to go out in public with sweaty, messy hair. The findings suggested that unique programs that promote physical activity should be developed that consider the women’s ethnic-specific attitudes.

Being homebound (HB) can affect people’s physical and mental health by decreasing movement, which can itself be exacerbated by the deterioration of people’s health. To break this vicious cycle of HB and being in poor health, it is necessary to identify and address the factors influencing HB status. Thus, we used a scoping review to identify an HB trend, focusing on the definition, measurements, and determinants of HB status. We analyzed 47 studies according to the five-stage methodological framework for scoping reviews. The common attribute of definitions of HB status was that the boundaries of daily life are limited to the home. However, this varied according to duration and causes of becoming HB; thus, the understanding of HB shifted from the presence or absence of being HB to the continuum of daily activity. Various definitions and measurements have been used to date. Many studies have focused on individual factors to analyze the effect of HB. In the future, it will be necessary to develop a standardized measurement that reflects the multidimensional HB state. In addition, it is necessary to utilize a theoretical framework to explore the social and environmental factors affecting HB.

Despite an increasing number of studies of midlife women's physical activity, little is known about how attitudes toward physical activity of midlife women from diverse ethnic groups influence the women's physical activity. To explore ethnic differences in midlife women's attitudes toward physical activity and determine the relationships between the attitudes and their actual participation in physical activity while considering other influencing factors. The Midlife Women's Attitudes Toward Physical Activity model was used to guide the study. This was a cross-sectional Internet survey study of 542 midlife women. The instruments included questions on background characteristics and health and menopausal status; the Physical Activity Assessment Inventory; a modified Barriers to Health Activities Scale; the Questions on Attitudes Toward Physical Activity, Subjective Norm, Perceived Behavioral Control, and Behavioral Intention; and the Kaiser Physical Activity Survey. The data were analyzed using ANOVA, correlation, hierarchical multiple regression, and path analyses. There were significant ethnic differences in the attitude scores (F = 2.58, p < .05), but no ethnic differences in the physical activity scores. Interestingly, there were significant ethnic differences in the occupational physical activity scores (F = 5.68, p < .01). Attitude scores accounted for 5% of total variances of the physical activity scores (F(ch) = 43.52, p < .01). The direct paths from the attitude scores (p < .01), the self-efficacy scores (p < .01), and the barrier scores (p < .05) to the physical activity scores were statistically significant. Ethnic differences in the women's attitudes toward physical activity need to be considered in promoting physical activity of midlife women.

This study aimed to identify the association between social frailty and health-related quality of life (HRQoL) and to identify the factors influencing HRQoL in community-dwelling older adults in South Korea. This was a secondary analysis of a cross-sectional survey study of 735 older adults. HRQoL was measured using the EuroQoL-5 Dimension, and social frailty was measured using five items. The differences in HRQoL according to sociodemographic characteristics, health-related characteristics, and social frailty of subjects were tested using the Mann–Whitney test, Kruskal–Wallis test, and χ² test. A Tobit regression model was used to identify the influencing factor of HRQoL. About 31.0% of the older adults were in a social pre-frailty state, and 48.4% were in a social frailty state. Of the five components of social frailty, going out less compared to the previous year and being alone were frequently observed. Older adults who had social frailty had lower HRQoL scores than those who were robust after controlling for sociodemographic and health-related characteristics (B_T = −0.04, p < 0.001). Researchers need to consider older adults’ social frailty as well as health status and sociodemographic status in future interventions to improve the HRQoL of older adults.