Assessment Of 2D:4D ratios amongst federal polytechnic Ekowe students, Bayelsa State, Nigeria

Humans, primates, birds and reptiles have demonstrated sexually dimorphism in the length of their 2nd and 4th digits otherwise known as 2D:4D, with males on the average having lower values than females. This difference has been associated with the differential exposure of prenatal testosterone relative to estrogen during intrauterine life. This present study assesses the 2d:4d ratio amongst students of the federal Polytechnic Ekowe, Bayelsa state of Nigeria. A total of 299 students (males n=150 and females n=149) participated in the study. The length of 2nd and 4th digits were measured with digital Vernier caliper from the basal crease to the tip of the finger, and 2nd digit length (2D) was divided by 4th digit (4D) to obtain 2D:4D ratio. The results of this study showed no significant difference between 2D right and left and 4D right and left for same sex (0.98±0.04 and 0.98±0.04 for males and 0.96±0.05 and 0.96±0.05 for female). Sexual dimorphism exits between sexes which is an indication that prenatal hormones have played a fundamental role on humans, during developmental stages.

Education, Income and Mobility: Experimental Impacts of Childhood Exposure to Progresa after 20 Years

In 1997, the Mexican government designed the conditional cash transfer program Progresa, which became the worldwide model of a new approach to social programs, simultaneously targeting human capital accumulation and poverty reduction. A large literature has documented the short and medium-term impacts of the Mexican program and its successors in other countries. Using Progresas experimental evaluation design originally rolled out in 1997-2000, and a tracking survey conducted 20 years later, this paper studies the differential long-term impacts of exposure to Progresa. We focus on two cohorts of children: i) those that during the period of differential exposure were in-utero or in the first years of life, and ii) those who during the period of differential exposure were transitioning from primary to secondary school. Results for the early childhood cohort, 18-20-year-old at endline, shows that differential exposure to Progresa during the early years led to positive impacts on educational attainment and labor income expectations. This constitutes unique long-term evidence on the returns of an at-scale intervention on investments in human capital during the first 1000 days of life. Results for the school cohort - in their early 30s at endline - show that the short-term impacts of differential exposure to Progresa on schooling were sustained in the long-run and manifested themselves in larger labor incomes, more geographical mobility including through international migration, and later family formation.

Assessing population exposure to coastal flooding due to sea level rise

The exposure of populations to sea-level rise (SLR) is a leading indicator assessing the impact of future climate change on coastal regions. SLR exposes coastal populations to a spectrum of impacts with broad spatial and temporal heterogeneity, but exposure assessments often narrowly define the spatial zone of flooding. Here we show how choice of zone results in differential exposure estimates across space and time. Further, we apply a spatio-temporal flood-modeling approach that integrates across these spatial zones to assess the annual probability of population exposure. We apply our model to the coastal United States to demonstrate a more robust assessment of population exposure to flooding from SLR in any given year. Our results suggest that more explicit decisions regarding spatial zone (and associated temporal implication) will improve adaptation planning and policies by indicating the relative chance and magnitude of coastal populations to be affected by future SLR.

Does Schooling Decrease Socioeconomic Inequality in Early Achievement? A Differential Exposure Approach

Does schooling affect socioeconomic inequality in educational achievement? Earlier studies based on seasonal comparisons suggest schooling can equalize social gaps in learning. Yet recent replication studies have given rise to skepticism about the validity of older findings. We shed new light on the debate by estimating the causal effect of 1st-grade schooling on achievement inequality by socioeconomic family background in Germany. We elaborate a differential exposure approach that estimates the effect of exposure to 1st-grade schooling by exploiting (conditionally) random variation in test dates and birth dates for children who entered school on the same calendar day. We use recent data from the German NEPS to test school-exposure effects for a series of learning domains. Findings clearly indicate that 1st-grade schooling increases children’s learning in all domains. However, we do not find any evidence that these schooling effects differ by children’s socioeconomic background. We conclude that, although all children gain from schooling, schooling has no consequences for social inequality in learning. We discuss the relevance of our findings for sociological knowledge on the role of schooling in the process of stratification and highlight how our approach complements seasonal comparison studies.

Deprivation and exposure to public activities during the COVID-19 pandemic in England and Wales

BackgroundDifferential exposure to public activities may contribute to stark deprivation-related inequalities in SARS-CoV-2 infection and outcomes but has not been directly investigated. We set out to investigate whether participants in Virus Watch—a large community cohort study based in England and Wales—reported differential exposure to public activities and non-household contacts during the autumn–winter phase of the COVID-19 pandemic according to postcode-level socioeconomic deprivation.MethodsParticipants (n=20 120–25 228 across surveys) reported their daily activities during 3 weekly periods in late November 2020, late December 2020 and mid-February 2021. Deprivation was quantified based on participants’ residential postcode using English or Welsh Index of Multiple Deprivation quintiles. We used Poisson mixed-effect models with robust standard errors to estimate the relationship between deprivation and risk of exposure to public activities during each survey period.ResultsRelative to participants in the least deprived areas, participants in the most deprived areas exhibited elevated risk of exposure to vehicle sharing (adjusted risk ratio (aRR) range across time points: 1.73–8.52), public transport (aRR: 3.13–5.73), work or education outside of the household (aRR: 1.09–1.21), essential shops (aRR: 1.09–1.13) and non-household contacts (aRR: 1.15–1.19) across multiple survey periods.ConclusionDifferential exposure to essential public activities—such as attending workplaces and visiting essential shops—is likely to contribute to inequalities in infection risk and outcomes. Public health interventions to reduce exposure during essential activities and financial and practical support to enable low-paid workers to stay at home during periods of intense transmission may reduce COVID-related inequalities.

Inequality in Place: Effects of Exposure to Neighborhood-Level Economic Inequality on Mortality

This study contributes to the debate on whether income inequality is harmful for health by addressing several analytical weaknesses of previous studies. Using the Panel Study of Income Dynamics in combination with tract-level measures of income inequality in the United States, we estimate the effects of differential exposure to income inequality during three decades of the life course on mortality. Our study is among the first to consider the implications of income inequality within U.S. tracts for mortality using longitudinal and individual-level data. In addition, we improve upon prior work by accounting for the dynamic relationship between local areas and individuals' health, using marginal structural models to account for changes in exposure to local income inequality. In contrast to other studies that found no significant relation between income inequality and mortality, we find that recent exposure to higher local inequality predicts higher relative risk of mortality among individuals at ages 45 or older.

Disasters, Gender and HIV Infection: The Impact of the 2010 Haiti Earthquake

Although disasters threaten all people who experience them, they do not affect all members of society in the same way. Its effects are not solely restricted to the economic sphere; they also affect the physical and mental health of those who suffer from them, having a particular impact on women and limiting their life chances. The aim of this study was to examine the impact the 2010 Haiti earthquake had on the seropositivity of female survivors. Method: Using data from the Demographic and Health Survey, this study examines the impact of the 2010 Haiti earthquake on gender relations associated with the probability of being HIV positive through the differences-in-differences strategy. Results: A differential of four percentage points is observed in the probability of HIV seropositivity between men and women, favoring men. Additionally, it is observed that the probability of seropositivity intensifies when the cohabitation household is headed by a woman. Conclusion: Disasters are not indifferent to the gender of the people affected. In the second decade of the 21st century, the conclusions obtained show, once again, the need for incorporating the gender perspective into the management of natural hazards in the field of health. This is the case of the differential exposure to HIV after the earthquake in Haiti.