Social isolation is closely linked to depression and falls in late life and are common among seniors. Although the literature has highlighted age-related variations in these three geriatric conditions, evidence on heterogeneities across older adult age categories is lacking. To address this gap, we present cross-sectional analyses using indicators of social isolation, depression, and falls of older adults constructed from the most recent Behavioral Risk Factor Surveillance System (BRFSS) data. An age-based understanding is critical to improve health interventions since health changes occur at a faster rate among seniors than in any other population subgroup. We included all adults 60 years and older (n = 113,233) in the 2018 BRFSS landline dataset and used the status of living alone, depressive disorder diagnosis, and fall incidences reported by these seniors to respectively create the social isolation, depression, and fall indicators. We conducted multivariable logistic regressions to compare findings on these indicators across the three age categories of 60–69, 70–79, and 80 and above after adjusting for a common set of covariates. Results indicate that the likelihood of seniors living alone and reporting depression is the highest among those 80 years and above. Conversely, the odds of depressed seniors reporting falls is the greatest among the 60–69 year olds. Accordingly, we highlight key implications for targeted health promotion and care delivery to seniors.
Age segregation adversely impacts health and wellbeing. Prior studies, although limited, report increasing age segregation of the US. However, these studies are dated, do not comprehensively examine the spatiotemporal patterns and the correlates of intergenerational segregation, or suffer from methodological limitations. To address these gaps, we assess the spatiotemporal patterns of age segregation between 1990 and 2010 using census-tract data to compute the dissimilarity index ( D) at the national, state, and county levels. Results contradict previous findings, providing robust evidence of decreasing age segregation for most parts of the country and across geographical levels. We also examine factors explaining adult-older adult segregation across counties between 1990 and 2010. Higher levels of rurality indicated lower levels of adult-older adult segregation, but this association diminished over time. Percent of older adults and percent of population in group quarters were inversely related to adult-older adult segregation, contrary to results from previous decades.
The importance of women-led enterprises for any country's economic growth and competitiveness is well established. According to a 2009 study, in India female-run enterprises in recent years have performed significantly better than other enterprises in terms of productivity and export percentages. However, gender gap in entrepreneurial initiatives in India is among the highest in the world. Although accepted as crucial, the role of public policy towards addressing these barriers is under-researched in the entrepreneurship literature. Further, the current evidence base on state-level predictors of female enterprises is scant. The aim of this study is to highlight these gaps. In doing so, the focus is on interpreting the role of gender correlates-fertility, female educational attainment and female economic activities-in facilitating or hindering women-led enterprises. Indeed, previous studies have identified gender-related factors to have the greatest impact on women's choice in not taking up entrepreneurial activities. An empirical regression analysis and a qualitative review of the institutional environment are conducted. The findings presented in this study indicate the need for a realignment of policy focus towards addressing gender barriers and developing managerial skills, in addition to technical skills, of women entrepreneurs.
Many diseases, disabilities, and mental health conditions associated with aging can be delayed or prevented through regular exercise. Several barriers to exercise, many of which are exacerbated in rural communities, prevent mid-life and older adults from accessing its benefits. However, recently, a racquet sport named pickleball has become popular among older adults, and it appears to overcome some of these barriers. We conducted a feasibility study to evaluate the impact of a six-week pickleball intervention on measures of muscle function, cognitive function, perceived pain, and cardio-metabolic risk, as well as several psychosocial factors contributing to adherence in sedentary rural participants. Participants improved their vertical jump, cognitive performance, and reported a decrease in self-reported pain, suggesting improved physical and cognitive health across the sample. Participants also reported high levels of satisfaction and demonstrated good adherence over the duration of the study. Perhaps of greatest value was the overwhelmingly positive response from participants to the intervention and follow-up interviews reporting a desire to continue pickleball play beyond the study period. Overall, pickleball appears to be a promising intervention to, (1) elicit functional- and cognitive-related improvements, and (2) motivate mid-life and older adults to adhere to exercise sufficiently long to benefit their health.
This article addresses the issue of nonperforming loans (NPLs) from a public policy perspective. The focus is on three aspects of NPLs that we consider essential for a proper analysis: the degree of the NPL problem, the causes of NPLs and the solutions adopted to address an identified NPL issue. This research analyses the diverse definitions and measurements of an NPL. Further, it introduces the distinction between systemic and situational causes of NPLs. Arguing that different causes require different cures, this study emphasizes a mix of short-term and long-term remedial measures as judicious in dealing with the NPL problem. This framework is then applied to two case studies: China and India. The conclusion identifies future directions of research, such as the study of a threshold level beyond which NPLs may pose a barrier to a country's growth and productivity.
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.