Biodemography and Social Biology最新文献

This paper reports child mortality and associated factors among tribal (indigenous) populations from a South Indian district. In India, 104 million people belonged to 705 tribal groups, constituting 8.6% of India's population. Of the 705 tribal groups, 75 were classified as particularly vulnerable tribal groups (PVTG). The present study aims to report the under-five child mortality among the tribal (both PVTG and non-PVTG) population in Visakhapatnam district, a district with a higher concentration of tribes in the Indian state of Andhra Pradesh. Four sub-districts were selected to conduct a cross-sectional study to understand health and health-seeking behavior, including maternal and child health. Socio-demographic details and obstetric history were collected through a pre-tested, interviewer-administered questionnaire from mothers with a child aged up to one year. These 277 mothers gave birth to 632 liveborn children, out of which 56 children died within 12 months. Multiple logistic regression revealed that living in villages with no health facility, woman-headed households, younger age at first childbirth and mother' aged 30 years or above were significantly associated with mothers experiencing child death. Implementation of home-based neonatal care is crucial in the vulnerability context of the tribes due to socioeconomic conditions and remote habitation. Health educational interventions to address early marriages leading to teenage pregnancies are needed immediately. This disaggregated analysis of under-five mortality and associated factors among the tribes highlights the need for population-specific interventions and improving infrastructural facilities like all-weather roads and improved access to quality healthcare services in addition to the overall socio-economic development.

This study assessed the knowledge, beliefs, and hesitancy toward COVID-19 vaccination among medical (MS) and nonmedical students (NMS) in Punjab, Pakistan. An online cross-sectional survey was conducted by enrolling 624 MS and 476 NMS in the largest province of Pakistan, i.e., Punjab. Chi-square tests were used to determine significant frequency distributions, and logistic regression to determine associations. The majority of students, males and females, were between 18-25 years of age and had good self-reported health. MS demonstrated adequate knowledge and positive beliefs about COVID-19. Fewer MS were indecisive about the vaccination; nonetheless, overall, 71.5% of MS and 78.2% of NMS were willing to receive the vaccine. A greater number of MS students were concerned about vaccine safety or side effects. A greater number of NMS demonstrated misconceptions about the COVID-19 vaccine - its effect on fertility and alterations in genomic DNA. The binary logistics regression exhibited a significant association between students' knowledge in the medical sciences (OR;1.53,p = 0.002) and area of residence (OR;1.60,p = 0.008). Compared to NMS, MS had a better understanding of the COVID-19 vaccine and were concerned about the acceptability of the vaccine, although NMS had misconceptions about the COVID-19 vaccine. Knowledge was significantly associated with the field of study.

Loneliness is linked to declining physical health across cardiovascular, inflammatory, metabolic, and cognitive domains. As a result, loneliness is increasingly being recognized as a public health threat, though the mechanisms that have been studied do not yet explain all loneliness-related health risk. Potential mechanisms include loneliness having 1.) direct, causal impacts on health, possibly maintained by epigenetic modification, 2.) indirect effects mediated through health-limiting behaviors, and 3.) artifactual associations perhaps related to genetic overlap and reverse causation. In this scoping review, we examine the evidence surrounding each of these pathways, with a particular emphasis on emerging research on epigenetic effects, in order to evaluate how loneliness becomes biologically embedded. We conclude that there are significant gaps in our knowledge of how psychosocial stress may lead to physiological changes, so more work is needed to understand if, how, and when loneliness has a direct influence on health. Hypothalamic-pituitary adrenocortical axis disruptions that lead to changes in gene expression through methylation and the activity of transcription factor proteins are one promising area of research but are confounded by a number of unmeasured factors. Therefore, wok is needed using causally informative designs, such as twin and family studies and intensively longitudinal diary studies.

Multiple-cause-of-death data have not yet been applied to the study of racial/ethnic differences in causal chains of events leading to death, nor they have been used to examine racial/ethnic disparities in cause-of-death certification. We use publicly available 2019 US death certificate data to reassemble chains of morbid events leading to death. From them, we construct and analyze directed multiple cause of death networks by race and sex of deaths aged 60+. Three perspectives to measure disparities are employed: (i) relative prevalence of cause-of-death-pairs, (ii) strength of associations between diseases, (iii) similarities in transition matrices. Non-Hispanic Blacks (NHB) had overall lower prevalence of cause of death pairs, Hispanics (HIS) were burdened more by alcohol-related mortality and Asian and Pacific Islanders (API) exceeded in transitions to cerebrovascular diseases. Lower similarity was observed in transitions to external causes of death, dementia and Alzheimer's disease, pulmonary heart diseases, interstitial respiratory diseases, and diseases of the liver. After excluding rare diseases, the similarity further decreased for ill-defined conditions, diabetes mellitus, other cardiovascular diseases, diseases of the pleura, and anemia. To sum up, races/ethnicities not only vary in structure and timing of death but they differ in morbid processes leading to death as well.

In response to the population aging, on May 31, 2021, the Political Bureau of the Central Committee of the Communist Party of China (CPC) proposed the policy that a couple can have three children and rolled out more supportive measures to further optimize fertility policies, which is another major initiative following the universal two-child policy introduced in November 2015. Currently, a series of population policy innovations have aroused great attractions among the public and triggered a hot debating on the Internet. People's fertility attitude tendency under different related policies can reflect their current fertility intentions. Based on the fact, this paper firstly classifies the sentiment of online comment data on the three-child policy and analyzes people's sentiment tendency toward the three-child policy from the spatio-temporal perspectives. Secondly, people's points of view on the three-child policy are summarized by using Latent Dirichlet Allocation (LDA) thematic clustering. The reasons for the change in people's fertility attitude tendency under different fertility policies are analyzed by comparing the change in people's fertility attitude tendency with the change in people's attentions. Finally, a multiple regression equation is constructed to analyze the key factors influencing people's intention to have three children by using public opinion data and its extension data. The findings demonstrate: (1) people's fertility attitudes toward the three-child policy are negative and similar among different regions; (2) compared to the two-child policy, the percentage of negative and neutral attitudes toward the three-child policy increases, while the percentage of positive attitudes decreases; (3) the increase in fertility costs, the deterioration of women's employment environment, and the change in the concept of marriage and childbirth become important reasons for the negative change in people's fertility attitudes toward different policies. Therefore, the government should take measures to reduce the burden of childbirth and guide the correct concept of marriage and childbirth to improve people's fertility intentions.

The article presents the results of a study of chromosomal mutations in residents living in the Aral Sea disaster zone. The present study was designed to evaluate the impact of the combined effect of a chemical mutagen (nickel) and bacterial microflora on the level of chromosomal aberrations (CA) in peripheral blood lymphocytes. This study used classical methods of cell cultivation, methods for determining chromosomal aberrations, a cytomorphological method for assessing epithelial cells, and an atomic absorption method for determining trace elements in the blood. The article shows that with an increase of chemical agent in the blood, the number of cells with features of damage and cells with contamination by microflora increases. Both of these factors cause an increase in the frequency of chromosomal aberrations. The article demonstrates how being exposed to a chemical factor increases chromosomal mutations, and also damages membrane components, which leads to a decrease in the barrier and protective function of the cell, and as a result also affects the level of chromosomal aberrations.

In contemporary societies, social status - especially income - is one of the most important determinants of ever marrying among men. Using U.S. census data, we estimated the importance of income for ever marrying among men and women, analyzing birth cohorts from 1890 to 1973. We examined individuals between the ages of 45 and 55, a total of 3.5 million men and 3.6 million women. We find that for men, the importance of income in predicting ever being married increased steadily over time. Income predicted only 2.5% of the variance in ever marrying for those born in 1890-1910, but about 20% for the 1973 cohort. For women, the opposite is true: the higher a woman's income among those born between 1890 and 1910, the lower her odds of ever being married, explaining 6% of the variance, whereas today a woman's income no longer plays a role in ever being married. Thus, our results provide evidence that income may represent a very recent selection pressure on men in the US, a pressure that has become increasingly stronger over time in the 20th and early 21st centuries.

Unintended pregnancy poses significant health risks for mothers, often leading to induced abortions. Understanding fertility is crucial when it comes to predicting the likelihood of unintended pregnancy. This study employed a quantitative research approach, utilizing a survey method. The survey was conducted in 2022 and involved 1065 married women aged 15-49 residing in Shiraz. The data collection process involved the administration of a standardized questionnaire. The sampling process utilized a combination of multi-stage classification and systematic random methods. The analysis of variable associations demonstrated a significant positive correlation between fertility knowledge, age, husband's age, duration of marriage, and monthly income variables with the proportion of unintended pregnancies. It was observed that higher levels of education among both women and their husbands were associated with a lower proportion of unintended pregnancies. Additionally, employed women exhibited a significantly lower proportion of unintended pregnancies compared to non-employed women. The logistic regression analysis further confirmed that fertility knowledge and monthly income exerted a significant reverse influence on the likelihood of experiencing an unintended pregnancy. Lack of awareness regarding fertility knowledge among women can contribute to the occurrence of unintended pregnancies. Unintended pregnancies, in turn, can pose potential health risks for women.