Individual socioeconomic status has a significant impact on whether older adults can initiate and maintain social relationships and participate in society, hence it affects loneliness. At the macro level, income inequality is expected to increase the risk of loneliness by eroding social cohesion and trust, while welfare generosity might protect people from loneliness. The aim of the study is to explore whether income inequality and welfare generosity at the country level moderate the effect of socioeconomic status at the individual level on late-life loneliness. Data were obtained from the HRS family of surveys - the Survey of Health, Aging and Retirement in Europe (SHARE) (wave 5, 2011/12) and China Health and Retirement Longitudinal Study (CHARLS) (wave 2, 2012/13). Respondents aged 50 years and older from twelve European countries and China were included in the study. Logistic country fixed effect models were used in the analysis. The findings show a stronger effect of individual socioeconomic status on late-life loneliness in more income-unequal societies and a weaker effect in more welfare-generous societies. There is a need to consider the impact of income distribution and welfare spending on the risk of loneliness among those older adults with low socioeconomic status when tailoring preventive programs and interventions to reduce loneliness among this vulnerable group.
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http://dx.doi.org/10.3389/fpubh.2022.968411 | DOI Listing |
BMC Public Health
January 2025
Faculty of Health Sciences, Department of Internal Medicine Nursing, Sakarya University, Sakarya, 54050, Turkey.
Background: Adults with diabetes encounter various challenges related to managing their condition. In this study, we explored the experiences of adults with type 2 diabetes mellitus with low socioeconomic status in Türkiye.
Methods: This study was conducted as a phenomenological qualitative research.
Sci Rep
January 2025
Student Research Committee, Kermanshah University of Medical Sciences, Kermanshah, Iran.
There is limited understanding of socioeconomic inequality in multimorbidity in Iran. This study aims to investigate socioeconomic inequality in multimorbidity among adults in western Iran. Data from the Ravansar Non-Communicable Disease (RaNCD) cohort study were used in this cross-sectional study.
View Article and Find Full Text PDFEur J Pediatr
January 2025
Department of Emergency and Critical Care Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Unlabelled: Poor consumption of fruits and vegetables is associated with an increased risk of non-communicable diseases, micronutrient deficiency, and undernutrition. Fruit and vegetable consumption is generally low worldwide, particularly in rural regions of many low- and middle-income countries. This study aimed to determine the prevalence and determinants of zero vegetable or fruit consumption among children aged 6 to 23 months in Kenya using the most recent Kenya Demographic and Health Survey.
View Article and Find Full Text PDFEur J Intern Med
January 2025
Department of Pathology, Erasmus MC University Medical Center, Rotterdam, the Netherlands.
Importance: Optimal data availability for secondary use is crucial for continuous improvement in healthcare. At the same time, it is imperative to uphold patients' rights to be informed, to control the use of their health data and to protect their privacy. To balance these two needs, we investigated which consent procedure (opt-in or opt-out) would be most supportive of data availability.
View Article and Find Full Text PDFEpidemiology
January 2025
Department of Epidemiology, John Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Background: Collaborative research consortia provide an efficient method to increase sample size, enabling evaluation of subgroup heterogeneity and rare outcomes. In addition to missing data challenges faced by all cohort studies like nonresponse and attrition, collaborative studies have missing data due to differences in study design and measurement of the contributing studies.
Methods: We extend ROSETTA, a latent variable method that creates common measures across datasets collecting the same latent constructs with only partial overlap in measures, to define a common measure of socioeconomic status (SES) across cohorts with varying indicators in the Environmental influences on Child Health Outcomes Cohort, a consortium of pregnancy and pediatric cohorts.
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