Assessing Menstrual Changes Among Young Indian Females Post-SARS-CoV-2 Vaccination.

Background The rollout of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccines has significantly enhanced immunity against coronavirus disease 2019 (COVID-19), leading to a reduction in the severity of illness, hospitalizations, and deaths. While various side effects of the vaccine have been reported, its impact on the menstrual cycle remains unclear. Methods We conducted a cross-sectional study involving university students who had received either partial or full vaccination against SARS-CoV-2. Data was gathered through a questionnaire designed to assess the relationship between menstrual changes and the SARS-CoV-2 vaccination. Results A total of 773 participants, with a mean age of 20.6 ± 1.7 years, were included in this study. The participants reported a significant increase in the irregularity of the menstrual cycle. We observed a slight increase in the length of the menstrual cycle, from 30.0 ± 4.0 days (pre-vaccination) to 30.5 ± 5.6 days (post-vaccination), which was statistically significant (p<0.001). The duration of menstruation also increased, from 4.9 ± 1.7 days (pre-vaccination) to 5.0 ± 1.7 days (post-vaccination). However, this increase in menstrual length due to vaccination was not statistically significant (p = 0.898). Notably, there was a significant increase in pain reported by the participants after receiving the SARS-CoV-2 vaccine (p = 0.004). Conclusion The SARS-CoV-2 vaccination significantly impacted the regularity of the menstrual cycle, length of the menstrual cycle, and pain during menstruation, though temporarily. Our study found no significant differences in menstrual changes or the type of vaccine administered (Covishield and Covaxin).

Impact of maternal pre-pregnancy body mass index on maternal, fetal and neonatal adverse outcomes in the worldwide populations: A systematic review and meta-analysis.

OBJECTIVE: Systematic review and meta-analysis conducted to investigate the effect of stratified pre-pregnancy maternal body mass index on twenty maternal and fetal/neonatal adverse outcomes. METHODS: PubMed, Google Scholar, Medline, Embase, Web of Science databases were searched from inception till July 11, 2020. Cohort studies were included. The pooled odds ratio with 95% confidence interval was reported considering the random effect and the quality effect model. The sub-group analysis and meta-regression were conducted for BMI cut-offs, geographical region, source of BMI, and sample size. RESULTS: Overall, 86 studies representing 20,328,777 pregnant women were included in this meta-analysis. Our study reveals that overweight and obese mothers are at increased odds of cesarean delivery, elective cesarean delivery, emergency cesarean delivery, gestational diabetes, gestational hypertension, induction of labor, postpartum hemorrhage, pre-eclampsia, pre-term premature rupture of membrane, and the fetuses/neonates of overweight and obese mothers are at increased risk of admission in the newborn intensive care unit, APGAR scores less than 7 at 5 min, large for gestational age, macrosomia, extreme pre-term birth in pregnant mothers compared with standard BMI mothers. However, the underweight mothers showed increased odds for small for gestational age infant and pre-term birth, whereas obese mothers were at higher risk for post-term birth and stillbirths. The subgroup and meta-regression analyses have shown the impact of BMI cut-offs, geographical region, source of BMI, and sample size on several maternal, fetal/neonatal adverse outcomes. CONCLUSION: The meta-analysis confirmed the association of elevated pre-pregnancy maternal BMI with higher odds of adverse maternal and fetal/neonatal outcomes.

"Mendelian Randomization" Approach in Economic Assessment of Health Conditions.

The increased prevalence of non-communicable chronic diseases (NCDs) is reflected in the rising economic burden of health conditions. Observational studies conducted in health economics research are detecting associations of NCDs or related risk factors with economic measures like health insurance, economic inequalities, accessibility of jobs, education, annual income, health expenditure, etc. The inferences of such relationships do not prove causation and are limited to associations which are many times influenced by confounding factors and reverse causation. Mendelian randomization (MR) approach is a useful method for exploring causal relations between modifiable risk factors and measures of health economics. The application of MR in economic assessment of health conditions has been started and is producing fruitful results.

Brief communication: Allelic and haplotypic structure at the DRD2 locus among five North Indian caste populations.

The dopamine D2 receptor (DRD2) gene, with its known human-specific derived alleles that can facilitate haplotype reconstruction, presents an important locus for anthropological studies. The three sites (TaqIA, TaqIB, and TaqID) of the DRD2 gene are widely studied in various world populations. However, no work has been previously published on DRD2 gene polymorphisms among North Indian populations. Thus, the present study attempts to understand the genetic structure of North Indian upper caste populations using the allele and haplotype frequencies and distribution patterns of the three TaqI sites of the DRD2 gene. Two hundred forty-six blood samples were collected from five upper caste populations of Himachal Pradesh (Brahmin, Rajput and Jat) and Delhi (Aggarwal and Sindhi), and analysis was performed using standard protocols. All three sites were found to be polymorphic in all five of the studied populations. Uniform allele frequency distribution patterns, low heterozygosity values, the sharing of five common haplotypes, and the absence of two of the eight possible haplotypes observed in this study suggest a genetic proximity among the selected populations. The results also indicate a major genetic contribution from Eurasia to North Indian upper castes, apart from the common genetic unity of Indian populations. The study also demonstrates a greater genetic inflow among North Indian caste populations than is observed among South Indian caste and tribal populations.

Population severance in manipur at dopamine receptor D2 locus.

INTRODUCTION: Tibeto-Burman language-speaking Mongoloid groups of northeast India are reported to be genetically highly heterogeneous. Manipur, one of the states of this region sharing a major International border with Myanmar, is also expected to be diversified as seen by its large number of tribal and nontribal groups. A number of genomic markers, that is, autosomal, mitochondrial, and Y chromosomal ones, have been used to understand the peopling of the northeast region. AIMS: In this article, an attempt is made to understand the peopling of Manipur using three sites (Taq1A, Taq1B, and Taq1D) on the dopamine receptor D2 (DRD2) gene through allele and haplotype frequencies and their distribution patterns. METHODS: In total, 367 blood samples were collected from eight populations of which three (Meitei, Muslims, and Bamon) are nontribal groups and five (Aimol, Kabui, Paite, Kom, and Thadou) are tribal groups. RESULTS: All the three sites are polymorphic in all the studied populations with relatively lower heterozyosities indicating a genetic discontinuity between the populations of mainland India and northeast India, suggesting the unlikeliness of eastward migration of people from Africa through India. CONCLUSION: High heterogeneity and predominance of ancestral haplotype (B2D2A1) among the Meitei suggest an admixture of incoming mongoloid groups with an already existing protoastroloid element. The study also highlights the distinctiveness of Manipuri population groups with respect to DRD2 gene polymorphism.