Biodemography and Social Biology最新文献

This study was performed to estimate the corpse age using histological examinations of the fourth and sixth ribs by a morphometric method. One hundred samples of referred bodies of the Legal Medicine Organization of Lorestan province, Iran, were examined. The sampling was performed from the fourth and sixth ribs. The transverse sections of the samples were prepared, in which various variables such as the diameter of the haversian system (DHC), haversian system perimeter (PHS), haversian system area (AHS), and the thickness of the haversian lamellae (TH) were measured using a Motic microscope video system and the Motic Image Plus 2 software. To predict age from sex and the morphometric parameters a stepwise multiple linear regression was used. Accordingly, AHS in rib 4, DHC with lens 10 in rib 4, DHC with lens 10 in rib 6 and TH in rib 6 remained in the model at significance level 0.05 (R square = 0.1654). Although age was associated with some of the studied parameters, the obtained equation was not fit enough to predict the exact age. Further parameters should be studied for prediction of age in corpse.

The COVID-19 pandemic has already had many consequences for social life. This paper focused on the early impact of COVID-19 pandemic on pandemic-period childbearing plan that was made before the onset of the pandemic. Data were collected by posting survey questionnaire on social networks in Bangladesh. A total of 384 Bangladeshi men and women of reproductive age were analyzed using descriptive and multivariate logistic regression analyses after adjusting the data by applying sampling weights. One out of every five respondents was found to cancel their pandemic-period pregnancy plan by considering potential crises related to COVID-19 pandemic. Our findings showed that in canceling pandemic-period pregnancy, factors related to the potential crises of the pandemic emerged as more important than some persistent determinants of fertility, fertility intention and non-realization of fertility intention. Infection of COVID-19 to the acquaintance, being teenager, complete stopping and decline in income, and acquaintance's suggestion not to get pregnant during the pandemic played key role in canceling the pandemic-period pregnancy plan. Although it is uncertain if the impact of COVID-19 will substantially be reflected in the future fertility estimates of Bangladesh, the pandemic showed negative impact on pandemic-period childbearing plan during the early months.

This study investigates (1) conjoint latent classes of adolescent co-occurring developmental problems (obesity, depressive symptoms, and low educational attainment), (2) socioeconomic and genetic influences on these classes of adolescents' problem trajectories, and (3) physical health consequences of those latent classes. Data from the National Longitudinal Study of Adolescent to Adult Health (Add Health; N = 9,107; mean age = 15.5 years; Female = 52.9 per cent) were used to identify classes of early socioeconomic adversity and conjoint trajectory groups of co-occurring developmental problems. Profiles of social antecedents, genetic endowments (polygenic scores), and physical health outcomes in young adulthood were compared across identified four conjoint trajectory risk groups (overall high-risk, overall low-risk, BMI-risk or obesity, low education-risk). The results showed that youth with overall high-risk and BMI/education-specific risk trajectory groups were more likely to be Black or Hispanic, reported more adverse socioeconomic characteristics and genetic endowment, and averaged significantly poorer physical health in young adulthood compared with youth in the overall low-risk problem trajectory group. Less pronounced differences emerged between the high-risk and problem-specific-risk groups. The findings highlight heterogeneity in adolescent co-occurring developmental problems. Adolescent heterogeneous problem co-development is associated with background socioeconomic and genetic characteristics and physical health in young adulthood.

We investigated disparities in diabetes between the US-born and foreign-born populations using three diabetes measures: diagnosed diabetes, undiagnosed diabetes, and total diabetes, either diagnosed or undiagnosed diabetes. We analyzed adults aged 30-84 years drawn from the National Health and Nutrition Examination Survey 2009-2018 (n = 21,390). Of cohorts in 2009-2018, foreign-born adults had significantly higher age-standardized prevalence of diagnosed (12.6% vs. 10.6%) and undiagnosed diabetes (4.5% vs. 2.6%), and total diabetes (17.1% vs. 13.2%) than US-born adults. Results from logistic and multinomial regressions adjusting for age, sex, race/ethnicity, limited access to healthcare and BMI showed that the foreign-born had significantly higher odds of total diabetes (OR: 1.25, 95% CI: 1.04-1.50) and undiagnosed diabetes (OR: 1.83, 95% CI: 1.44-2.32) compared to the US-born. There was no significant difference in diagnosed diabetes by nativity (OR: 1.12, 95% CI: 0.96-1.53). Our results show that foreign-born adults were at higher risk of diabetes than US-born adults, and the difference by nativity was largely attributable to BMI and racial/ethnic composition. In addition, we demonstrated the importance of choosing measures of diabetes in studying diabetes mainly due to the foreign-born group's high prevalence of undiagnosed diabetes, which biases the prevalence of diabetes downward when diagnosed diabetes is used.

Previous studies have found that the positive relationship between personal income and fertility for men in the United States is primarily due to childlessness among low-income men. Yet because of the opposite effects of income on fertility for men and women, it is important to examine the effects of income net of spouse's income. An analysis of income from all sources and biological fertility data for husbands and wives from the Survey of Income and Program Participation (2014) shows that for men their own income is positively associated with the number of their biological children, while their spouse's income is negatively associated with total children ever fathered. The reverse is true for women. These results are not because of childlessness among low-income men and high-income women, but also hold true among all those with children. For men and women aged 45-65, who likely have completed fertility, these results hold regardless of whether or not education is controlled. These findings suggest that if status is measured as personal income for men and husband's income for women, the positive relationship between status and fertility persists in a postdemographic transition society.

This study provides evidence on the principal determinants of high-risk fertility - a level of fertility, which is measured through maternal age (less than 20 years and/or more than 34 years), a large number of children (more than 3), and short birth interval (less than 18 months) in Bangladesh. More specifically, this study explores the influences of women's autonomy in decision-making, physical mobility and economic matters on high-risk fertility. Also, the socioeconomic attributes of women are used to explain this relationship. To identify the amount of variations in high-risk fertility at different geographic units across the country, a multilevel approach is applied considering individual, community and district levels by using a large nationwide dataset (BDHS 2017-2018). The findings of the present study indicate women's autonomy in decision-making have strong significant effects on high-risk fertility; however, freedom of movement and economic autonomy do not have any significant effects. Furthermore, women's education, religion and place of residence are found to be strong determinants of high-risk fertility, which also partially mediate the relationship between high-risk fertility and decision-making autonomy. High-risk fertility also varies at district level across Bangladesh.

A large literature highlights the link between cognitive function and social networks in later life. Yet there remains uncertainty about the factors driving this relationship. In the present study, we use measures of subjective cognitive decline and clinical cognitive assessments on a sample of older adults to investigate whether the relationship between cognitive function and social networks is driven by psychosocial factors. We found a consistent link between clinical cognitive assessments and social network type, but no association between subjective concerns of cognitive decline and networks. Participants who exhibited signs of clinical cognitive impairment were more likely to have restricted networks (i.e., smaller networks consisting of fewer contacts, more interconnectivity, and less social diversity) compared to their cognitively normal counterparts, regardless of subjective measures of cognitive decline - both from the participant's perspective and study partner's perspective. These findings suggest that neither cognitively impaired older adults nor their network members appear to consciously dissolve social ties on the basis of perceived cognitive decline. However, it remains unclear whether the association between clinical cognitive impairment and social network type indicates the protective nature of social networks against cognitive decline or a subconscious process leading to social contraction.

Data from the Interplay of Genes and Environment across Multiple Studies (IGEMS) consortium were used to examine predictions of different models of gene-by-environment interaction to understand how genetic variance in self-rated health (SRH) varies at different levels of financial strain. A total of 11,359 individuals from 10 twin studies in Australia, Sweden, and the United States contributed relevant data, including 2,074 monozygotic and 2,623 dizygotic twin pairs. Age ranged from 22 to 98 years, with a mean age of 61.05 (SD = 13.24). A factor model was used to create a harmonized measure of financial strain across studies and items. Twin analyses of genetic and environmental variance for SRH incorporating age, age², sex, and financial strain moderators indicated significant financial strain moderation of genetic influences on self-rated health. Moderation results did not differ across sex or country. Genetic variance for SRH increased as financial strain increased, matching the predictions of the diathesis-stress and social comparison models for components of variance. Under these models, environmental improvements would be expected to reduce genetically based health disparities.