Family support for older people in an era of demographic change and policy constraints

2006 ◽  
Vol 26 (5) ◽  
pp. 693-706 ◽  
Author(s):  
DOUGLAS A. WOLF ◽  
SONALI S. BALLAL

This paper introduces the Special Issue of four empirical studies on the provision of family support to older people that have been written members of the Family Support for Older People: Determinants and Consequences (FAMSUP) network. They have in common the use of individual-level data and recognition of the importance of demographic forces, cultural variations and public policy in shaping patterns of elder care. The four papers are also explicitly comparative, and emphasise both between- and within-country differences. The European countries examined by the FAMSUP researchers exhibit several broadly similar demographic trends, but these are superimposed on very different policy regimes. The ‘macro’ focus of much comparative policy-oriented research facilitates the identification and description of population ageing, while illuminating the policy issues raised by demographic change. A macro-focus is also characteristic of much comparative welfare-state analysis. The ‘micro’ orientation of the research presented in this collection typically treats the policy environment as an implicit or residual category. We argue that progress in understanding comparative patterns of elder care, and in developing policy responses to demographic change, will be facilitated through blending the macro and micro perspectives, in which variations in the policy environment are explicitly linked to individual- and family-level behaviour.

Author(s):  
Jingjing Wang ◽  
Xueying Wu ◽  
Ruoyu Wang ◽  
Dongsheng He ◽  
Dongying Li ◽  
...  

The coronavirus disease 2019 pandemic has stimulated intensive research interest in its transmission pathways and infection factors, e.g., socioeconomic and demographic characteristics, climatology, baseline health conditions or pre-existing diseases, and government policies. Meanwhile, some empirical studies suggested that built environment attributes may be associated with the transmission mechanism and infection risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, no review has been conducted to explore the effect of built environment characteristics on the infection risk. This research gap prevents government officials and urban planners from creating effective urban design guidelines to contain SARS-CoV-2 infections and face future pandemic challenges. This review summarizes evidence from 25 empirical studies and provides an overview of the effect of built environment on SARS-CoV-2 infection risk. Virus infection risk was positively associated with the density of commercial facilities, roads, and schools and with public transit accessibility, whereas it was negatively associated with the availability of green spaces. This review recommends several directions for future studies, namely using longitudinal research design and individual-level data, considering multilevel factors and extending to diversified geographic areas.


2002 ◽  
Vol 50 (5) ◽  
pp. 905-911 ◽  
Author(s):  
M. Clare Robertson ◽  
A. John Campbell ◽  
Melinda M. Gardner ◽  
Nancy Devlin

Foods ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 557
Author(s):  
Elena Raptou

This study investigated the relationship of behavioral factors, such as snack choices, obesity stereotypes and smoking with adolescents’ body weight. Individual-level data for 1254 Greek youths were selected via a formal questionnaire. Snack choices seem to be gender specific with girls showing a stronger preference for healthier snacks. Frequent consumption of high-calorie and more filling snacks was found to increase Body Mass Index (BMI) in both genders. Fruit/vegetable snacks were associated with lower body weight in females, whereas cereal/nut snacks had a negative influence in males’ BMI. The majority of participants expressed anti-fat attitudes and more boys than girls assigned positive attributes to lean peers. The endorsement of the thin-ideal was positively associated with the BMI of both adolescent boys and girls. This study also revealed that neglecting potential endogeneity issues can lead to biased estimates of smoking. Gender may be a crucial moderator of smoking–BMI relationships. Male smokers presented a higher obesity risk, whereas female smokers were more likely to be underweight. Nutrition professionals should pay attention to increase the acceptance of healthy snack options. Gender differences in the influence of weight stereotypes and smoking on BMI should be considered in order to enhance the efficacy of obesity prevention interventions.


2021 ◽  
Vol 11 (6) ◽  
pp. 294
Author(s):  
Samantha LeBouef ◽  
Jodi Dworkin

The majority of empirical literature on first generation college students (FGCSs) in the U.S. asserts that because their parents did not attend college, FGCSs are lacking important resources to be successful in college. However, this results in a deficit-based approach to the study of FGCSs that tends to highlight the differences between first-generation and continuing-education students. However, FGCSs possess a wealth of resources from parents and families that make them successful, and that are often ignored in research. Asset-based approaches to the study of FGCSs are becoming more frequent in the form of books, book chapters, and white papers; however, published empirical research has yet to adopt this approach. As a result, a deeper understanding of FGCSs’ experiences is essential to advancing diversity and equity in higher education. To begin to address this gap, a systematic literature review of empirical studies following the PRISMA framework was conducted on first generation college students and family support; the literature was critically reviewed and future directions for the field were identified. Applying a critical, cultural, and familial lens to the study of first-generation college students will contribute to reframing the research narrative towards an asset-based narrative.


2021 ◽  
pp. 001041402110243
Author(s):  
Carolina Plescia ◽  
Sylvia Kritzinger

Combining individual-level with event-level data across 25 European countries and three sets of European Election Studies, this study examines the effect of conflict between parties in coalition government on electoral accountability and responsibility attribution. We find that conflict increases punishment for poor economic performance precisely because it helps clarify to voters parties’ actions and responsibilities while in office. The results indicate that under conditions of conflict, the punishment is equal for all coalition partners when they share responsibility for poor economic performance. When there is no conflict within a government, the effect of poor economic evaluations on vote choice is rather low, with slightly more punishment targeted to the prime minister’s party. These findings have important implications for our understanding of electoral accountability and political representation in coalition governments.


Author(s):  
Pablo Villalobos Dintrans ◽  
Jorge Browne ◽  
Ignacio Madero-Cabib

Abstract Objective Provide a synthesis of the COVID-19 policies targeting older people in Chile, stressing their short- and long-term challenges. Method Critical analysis of the current legal and policy measures, based on national-level data and international experiences. Results Although several policies have been enacted to protect older people from COVID-19, these measures could have important unintended negative consequences in this group’s mental and physical health, as well as financial aspects. Discussion A wider perspective is needed to include a broader definition of health—considering financial scarcity, access to health services, mental health issues, and long-term care—in the policy responses to COVID-19 targeted to older people in Chile.


2021 ◽  
pp. 003329412110268
Author(s):  
Jaime Ballard ◽  
Adeya Richmond ◽  
Suzanne van den Hoogenhof ◽  
Lynne Borden ◽  
Daniel Francis Perkins

Background Multilevel data can be missing at the individual level or at a nested level, such as family, classroom, or program site. Increased knowledge of higher-level missing data is necessary to develop evaluation design and statistical methods to address it. Methods Participants included 9,514 individuals participating in 47 youth and family programs nationwide who completed multiple self-report measures before and after program participation. Data were marked as missing or not missing at the item, scale, and wave levels for both individuals and program sites. Results Site-level missing data represented a substantial portion of missing data, ranging from 0–46% of missing data at pre-test and 35–71% of missing data at post-test. Youth were the most likely to be missing data, although site-level data did not differ by the age of participants served. In this dataset youth had the most surveys to complete, so their missing data could be due to survey fatigue. Conclusions Much of the missing data for individuals can be explained by the site not administering those questions or scales. These results suggest a need for statistical methods that account for site-level missing data, and for research design methods to reduce the prevalence of site-level missing data or reduce its impact. Researchers can generate buy-in with sites during the community collaboration stage, assessing problematic items for revision or removal and need for ongoing site support, particularly at post-test. We recommend that researchers conducting multilevel data report the amount and mechanism of missing data at each level.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Takashi Oshio ◽  
Hiromi Kimura ◽  
Toshimi Nishizaki ◽  
Takashi Omori

Abstract Background Area-level deprivation is well known to have an adverse impact on mortality, morbidity, or other specific health outcomes. This study examined how area-level deprivation may affect self-rated health (SRH) and life satisfaction (LS), an issue that is largely understudied. Methods We used individual-level data obtained from a nationwide population-based internet survey conducted between 2019 and 2020, as well as municipality-level data obtained from a Japanese government database (N = 12,461 living in 366 municipalities). We developed multilevel regression models to explain an individual’s SRH and LS scores using four alternative measures of municipality-level deprivation, controlling for individual-level deprivation and covariates. We also examined how health behavior and interactions with others mediated the impact of area-level deprivation on SRH and LS. Results Participants in highly deprived municipalities tended to report poorer SRH and lower LS. For example, when living in municipalities falling in the highest tertile of municipality-level deprivation as measured by the z-scoring method, SRH and LS scores worsened by a standard deviation of 0.05 (p < 0.05) when compared with those living in municipalities falling in the lowest tertile of deprivation. In addition, health behavior mediated between 17.6 and 33.1% of the impact of municipality-level deprivation on SRH and LS, depending on model specifications. Conclusion Results showed that area-level deprivation modestly decreased an individual’s general health conditions and subjective well-being, underscoring the need for public health policies to improve area-level socioeconomic conditions.


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