Passive smoking, cytochrome P450 gene polymorphisms and dysmenorrhea

Social Determinants of Health and Dysmenorrhea: A Systematic Review

Social determinants of health play a key role in health disparities. Dysmenorrhea is a highly prevalent and impactful public health problem affecting reproductive-age females. Systematically examining social determinants of health (SDoH) in dysmenorrhea is important for identifying gaps in the literature and informing research, policy, and clinical practice to reduce the public health burden associated with dysmenorrhea. The purpose of this systematic review was to synthesize the literature on SDoH and dysmenorrhea. The review protocol was prospectively registered. We searched Medline, EMBASE, CINAHL, PsycINFO, Scopus, and Google Scholar through February 2024 using search strategies informed by the literature. Screening of the articles, data extraction, and risk-of-bias (RoB) assessment were conducted independently by at least 2 reviewers on the Covidence platform. Among 2,594 unique records screened, 166 met eligibility criteria and were included for data extraction and RoB assessment. Evidence suggests traumatic experiences, toxic environmental exposures, female genital mutilation, job-related stress, lack of menstrual education, and low social support were associated with worse dysmenorrhea outcomes. However, evidence was equivocal regarding the relationships between dysmenorrhea outcomes and SDoH factors, including socioeconomic status, geographical location, race/ethnicity, employment, and religion. Nearly all articles (99.4%) had a high or very high overall RoB. The relationships between SDoH and dysmenorrhea outcomes were often inconsistent and complicated by heterogeneous study populations and methodologies. More rigorous research examining SDoH in dysmenorrhea is needed to inform policy and clinical practice. PERSPECTIVE: This systematic review synthesizes evidence linking SDoH and dysmenorrhea. The relationships between SDoH and dysmenorrhea were often equivocal and complicated by heterogeneous study populations and methodologies. We identify directions for future research and SDoH factors that could be addressed clinically (eg, trauma, menstrual education, and occupational stress).

Association Between Passive Smoking and Menstrual Discomfort: A Cross-Sectional Study of 2,571 Non-smoking Chinese Nurses

Introduction

Menstrual discomfort affects women's quality of life, which is an important public health issue. Evidence confirming the link between passive smoking and menstrual discomfort is limited. Therefore, the aim of this study is to investigate the aforementioned topic on the basis of a cross-sectional study of 2,571 non-smoking Chinese nurses.

Methods

Demographic information and passive smoking were assessed using a self-administered questionnaire. Menstrual discomfort was characterized as dysmenorrhea, illness or weakness, bed rest, and restlessness during menstruation, which was assessed using a modified version of the Cornell Medical Index-Health Questionnaire. Multivariate-adjusted odds ratio (OR) and 95% confidence intervals (CIs) were estimated using the logistic regression model.

Results

A total of 1:195 nurses (46.48%) were exposed to passive smoking. Compared with non-passive smoking nurses, passive smoking nurses were more likely to have menstrual discomfort symptoms (72.38 vs. 64.39%), especially symptoms of dysmenorrhea (49.54 vs. 42.08%), illnesses or weakness (48.28 vs. 42.08%), and restlessness during menstruation (53.05 vs. 46.22%). Exposure to passive smoking was significantly associated with menstrual discomfort (OR = 1.41, 95%CI: 1.19–1.67), especially symptoms of dysmenorrhea (OR = 1.32, 95%CI: 1.13–1.56), illness or weakness (OR = 1.24, 95%CI: 1.06–1.46), and restlessness (OR = 1.26, 95%CI: 1.08–1.48) during menstruation. The subgroup analyses, stratified by age, children, and marital status, agreed with the main findings.

Conclusions

Exposure to passive smoking was related to symptoms of dysmenorrhea and menstrual discomfort.

Nature and nurture of human pain

Humans are very different when it comes to pain. Some get painful piercings and tattoos; others can not stand even a flu shot. Interindividual variability is one of the main characteristics of human pain on every level including the processing of nociceptive impulses at the periphery, modification of pain signal in the central nervous system, perception of pain, and response to analgesic strategies. As for many other complex behaviors, the sources of this variability come from both nurture (environment) and nature (genes). Here, I will discuss how these factors contribute to human pain separately and via interplay and how epigenetic mechanisms add to the complexity of their effects.

The Shanghai Changfeng Study: a community-based prospective cohort study of chronic diseases among middle-aged and elderly: objectives and design

The Shanghai Changfeng Study is a community-based prospective cohort study of chronic diseases ongoing since February 2009 in Shanghai, China. The study focuses on multiple chronic diseases, including obesity and metabolic syndrome, diabetes, osteoporosis, liver diseases, cardiovascular diseases and neurologic diseases. 15,000 subjects of 40 years or over are planned to be recruited. The rationale, objectives and design of this study are described in this paper.

Estrogen receptor 1, glutathione S-transferase P1, glutathione S-transferase M1, and glutathione S-transferase T1 genes with dysmenorrhea in Korean female adolescents

BACKGROUND

Dysmenorrhea is the most common gynecologic complaint among adolescent females. We investigated the association between genetic polymorphisms and dysmenorrhea.

METHODS

A total of 202 postmenarcheal Korean female adolescents 16-17 yr old participated in this study. Genotyping for glutathione S-transferase mu 1 (GSTM1), glutathione S-transferase theta 1 (GSTT1), glutathione S-transferase pi 1 (GSTP1), and estrogen receptor 1 (ESR1) was performed using PCR-based methods.

RESULTS

The PP+Pp genotype of the ESR1 gene was more frequent than pp genotypes in subjects with dysmenorrhea than in subjects without dysmenorrhea (odds ratio=2.440; 95% confidence interval, 1.036-5.753; P=0.040) using an unadjusted univariate logistic regression analysis. The relationship between dysmenorrhea and ESR1 gene polymorphisms remained significant after adjustment for premenstrual syndrome, years elapsed after menarche, and family history of dysmenorrhea. No significant difference was observed between subjects with dysmenorrhea and subjects without dysmenorrhea for polymorphisms of GSTM1, GSTT1, and GSTP1 genes.

CONCLUSIONS

Our results suggest that ESR1 gene polymorphisms may be associated with dysmenorrhea.

The Rotterdam Study: 2010 objectives and design update

The Rotterdam Study is a prospective cohort study ongoing since 1990 in the city of Rotterdam in The Netherlands. The study targets cardiovascular, endocrine, hepatic, neurological, ophthalmic, psychiatric and respiratory diseases. As of 2008, 14,926 subjects aged 45 years or over comprise the Rotterdam Study cohort. The findings of the Rotterdam Study have been presented in close to a 1,000 research articles and reports (see www.epib.nl/rotterdamstudy). This article gives the rationale of the study and its design. It also presents a summary of the major findings and an update of the objectives and methods.