Biodemography and Social Biology最新文献

The COVID-19 pandemic and its social, economic, and health implications have generally reduced women's fertility intentions in different countries. In this article, we aimed to review studies of the impact of COVID-19 infection on women's fertility intentions and interventions to provide a theoretical basis and practical benchmark for the development of effective intervention strategies in China, which lifted its zero COVID system in early December 2022.

Our research fills a critical gap in the depression literature by utilizing a life course perspective to examine gender-gene interactions in association with depression trajectories over time. Using data from the Health and Retirement Study, we estimated multi-level negative binomial and logistic mixed models to analyze gender-specific trajectories of depressive symptoms (CESD-8) and potential clinical depression risk from middle to late adulthood in relation to gender-by-polygenic-risk (PRS) interactions. We found increasingly greater female-male gaps in the CESD-8 scale and a higher probability of clinical depression risk with increasing polygenic risk scores. Furthermore, females' higher genetic vulnerabilities to depressive conditions than males vary from ages 51 to 90 years, with most salient larger differences at oldest old ages at 76-85 (e.g. 0.28 higher CESD-8 scale for females at ages 76-85 years than for similar-aged males; higher 3.44% probability of depression risk for females at ages 81-85 compared to similar-aged males) followed by old ages at 61-70  years (e.g. about 2.40% higher probability of depression risk for females at ages 61-70 years than for similar-aged males) in comparison to younger ages during middle adulthood. This study contributes to new knowledge of how gender-by-polygenic-risk interactions are associated with depression trajectories across the life course.

Social isolation and lack of social support are risk factors for cardiovascular and cerebrovascular disease (CVD). This study explored the relationship between measures of social support and subclinical measures of CVD risk. 58 healthy adults ages 18 to 85 years participated in this study. The Berkman-Syme Social Network Inventory (SNI) was used to assess social isolation, with higher scores signifying less isolation. Social support was defined using the 12-Item Interpersonal Support Evaluation List (ISEL-12) with a higher score signifying higher social support. Subclinical CVD measures included carotid-femoral pulse wave velocity (cfPWV), carotid beta-stiffness index, and middle cerebral artery (MCA) pulsatility index. Path analysis models for both the SNI and ISEL appraisal domain predicting cfPWV and cerebrovascular pulsatility fit the data well. Path analyses showed significant direct paths from the SNI (β = -.363, t = -2.91) and ISEL appraisal domain (β = -.264, t = -2.05) to cfPWV. From cfPWV, both models revealed significant direct paths to carotid stiffness (β = .488, t = 4.18) to carotid pulse pressure (β = .311, t = 2.45) to MCA pulsatility (β = .527, t = 4.64). Social isolation and appraisal of social support are related to unfavorably higher aortic stiffness, with subsequent detrimental effects on cerebrovascular hemodynamic pulsatility.

The aim of this study is to demonstrate the utility of chest circumference measurements as a proxy for the socioeconomic characteristics of past populations. Our analysis is based on over 80,000 military medical examinations relating to Friuli (north-eastern Italy), recorded from 1881 to 1909. Chest circumference can be used to describe changes in standard of living, but also seasonal variations in food intakes and physical activities. The findings show the way in which these measurements are highly sensitive not only to long-term economic changes but, above all, to short-term variations in some economic and social elements, like corn prices and occupations.

The present study investigated a comprehensive model that integrates contributions of early socioeconomic adversity (ESA) and multiple polygenic scores (PGSs) through different mechanisms leading to diabetic risk in early adulthood. The study used prospective, longitudinal data from the National Longitudinal Study of Adolescent and Adult Health (Add Health) with a sample of 5,728 youth of European ancestry. The results showed that both ESA and PGSs were involved in different mechanisms. ESA contributed additively to educational failures, BMI, depressive symptoms, and diabetes risk over the life course (an additive process). Also, ESA launched a cascading process that connected these outcomes in a successively contingent manner. In addition to ESA, youths' multiple PGSs directly contributed to educational, psychological, and BMI outcomes. Multiple PGSs for education, BMI, and type 2 diabetes influenced not only youth outcomes that they were supposed to predict directly but also additional youth outcomes showing biological pleiotropy. The findings highlight the value of incorporating molecular genetic information into longitudinal developmental life course research and provide insight into malleable characteristics and appropriate timing for interventions addressing youth developmental and health outcomes.

Socioeconomic and demographic factors including educational attainment, race and ethnicity, and childhood socioeconomic status (SES) are powerful predictors of inequalities in aging, morbidity, and mortality. Immune aging, including accumulation of late-differentiated, senescent-like lymphocytes and lower levels of naïve lymphocytes, may play a role in the development of the age-related health inequalities. This study used nationally representative data from more than 9,000 US adults from the Health and Retirement Study to investigate associations between educational attainment, race and ethnicity, and childhood SES and lymphocyte percentages. Respondents with lower educational attainment, Hispanic adults, and those who had a parent with less than a high school education had lymphocyte percentages consistent with more immune aging compared to those with greater educational attainment, non-Hispanic White adults, and respondents who had parents with a high school education, respectively. Associations between education, Hispanic ethnicity, and parents' education and late differentiated senescent-like T lymphocytes (TemRA) and B cells were largely driven by cytomegalovirus (CMV), suggesting it is a factor in observed SES inequalities in immunosenescence. Naïve T lymphocytes may be particularly affected by socioeconomic position and may therefore be of particular interest to research interested in inequalities in health and aging.

Brazil experienced a critical increase in COVID-19 cases during the first weeks of 2022 due to community transmission of the SARS-CoV-2 Omicron variant. Furthermore, there has been a significant increase in the country's demand for hospital beds, especially among those unvaccinated or partially vaccinated. Despite this scenario, the number of deaths was considerably lower than in previous COVID-19 waves. However, evidence is limited regarding the disease burden at this stage of the pandemic in more vulnerable regions. In this ecological study, we investigated the impacts of the third wave of COVID-19 caused by the Omicron on cases and deaths in a region of Northeast Brazil, and their relationship with the living conditions of the population in a neighborhood-level analysis. We found that neighborhoods with worse living conditions had a lower COVID-19 incidence (median 193.4 cases per 10 000) than those with better living conditions (median 335.1 cases per 10 000) (p < .001), but no differences were found regarding mortality. Despite advances in vaccination coverage against the disease in Brazil and the significant reduction in the number of deaths during the third wave, our findings may suggest differences in access to diagnostic resources for COVID-19 in the poorest communities.

Intergenerational relationships are one of the most frequently studied topics in the social sciences. Within the area of family, researchers find intergenerational similarity in family behaviors such as marriage, divorce, and fertility. Yet less research has examined the intergenerational aspects of a key proximate determinant of fertility: sexual frequency. We use the National Survey of Families and Households to examine the relationship between sexual frequency of parents and the sexual frequency of children when adults. We link parental sexual frequency in 1987/1988, when children were ages 5-18, to the sexual frequency of the children in 2001-2003 when these grown children were ages 18-34. We find a modest, yet significant association, between parental and adult children sexual frequency. A mechanism behind this association appears to be the higher likelihood of being in a union among children of parents with high sexual frequency.