The latest medical research on Occupational & Environmental Medicine

Substantial evidence exists linking phthalate exposure to adverse reproductive health outcomes. Current US federal regulations of consumer product chemicals place the onus on individuals to mitigate their exposure to phthalates, with assumptions of sufficient environmental health literacy (EHL). Few validated scales for people of reproductive age exist to evaluate phthalate-specific EHL.

Our objective is to develop a multidimensional scale characterizing latent factors of phthalate knowledge, risk perception, and self-efficacy to inform individual-level interventions for reducing phthalate exposure.

We distributed a survey with 31 items to 117 participants in the Environmental Reproductive and Glucose Outcomes (ERGO) cohort who gave birth within the last 5 years. Exploratory factor analysis (EFA) was used to identify underlying latent factors. Internal reliability was assessed via omega hierarchical coefficient. Average sum scores for each latent factor and the overall Phthalate Environmental Reproductive Health Literacy (PERHL) score were calculated. Associations between latent factors, overall PERHL score, and sociodemographic characteristics were explored using linear models.

Six latent factors were identified as follows: "Awareness of Phthalate Reproductive Health Impacts," "Uncertainty," "Protective Behavior/Risk Control," "Regulatory Interest," "Awareness of Phthalate Exposure Pathways," and "General Phthalate Knowledge." Each factor demonstrated acceptable to strong internal reliability, with coefficients ranging between 0.63 and 0.93. Non-white participants had lower scores for the "Awareness of Phthalate Reproductive Health Impacts" [β: -0.35, 95% confidence interval (CI): -0.63, -0.07], "Awareness of Phthalate Exposure Pathways" (β: -0.32, 95% CI: -0.57, -0.07), and "General Phthalate Knowledge" (β: -0.36, 95% CI: -0.66, -0.06), but no significant difference in scores on "Uncertainty" (β: 0.17, 95% CI: -0.16, 0.50), "Protective Behavior/Risk Control" (β: -0.04, 95% CI: -0.36, 0.28), or "Regulatory Interest" (β: -0.21, 95% CI: -0.51, 0.09). No associations were seen for age or educational attainment and latent or sum factors.

Six latent factors were identified for the PERHL scale. Non-white race and ethnicity was associated with lower scores for knowledge-related scale factors. https://doi.org/10.1289/EHP13128.

The WHO defines LBW as "Birth weight less than 2500 grams" regardless of gestational age. Being born with a low birth weight also incurs enormous economic costs, including higher medical expenditures and social service expenses, and decreased productivity in adulthood.

To study distribution of newborns' according to pregnancy related factors and its association with newborns' birth weight.

An institutional based cross-sectional study. New-borns delivered at study institute were considered as study participants. Estimated final sample size was 500. Guardians (mothers) were face-to-face interviewed and also recorded data were collected from the case file and Mother and Child Protection Card.

Prevalence of LBW newborns was higher in mothers with late ANC registration, <4 ANC visits, chronic medical conditions, infection during pregnancy, PIH, anemia, consuming tobacco, exposure to second hand smoke, LSCS/Assisted delivery, in female newborns', current pregnancy birth order number more than 2, in pre term newborns' and mothers with bad obstetric history.

Create awareness and adoption of suitable family planning methods. Need to do early (within 12 weeks) ANC registration with minimum four ANC visits for better pregnancy outcome. Effective tracking and suitable intervention provided to improve current pregnancy outcome. Health care professional should pay special attention to high-risk pregnancy. Develop social culture in such a way that females are neither addicted nor exposed to any tobacco containing products in their life.

Low- and middle-income countries face the dual problem of infectious and non-infectious diseases. Persons living with HIV/AIDS (PLHIV) are also at risk of cardiovascular diseases. Hence, we did this study to determine the prevalence of cardiovascular risk factors (CVRF) among PLHIV and to find the factors associated with it.

We carried out a cross-sectional analytical study among all adults aged ≥18 years registered at a facility-integrated anti-retroviral therapy center in Puducherry, India, from September 2016 to February 2018. After obtaining informed consent, we interviewed the participants to assess physical activity, alcohol, and tobacco use. We measured weight, height, abdominal circumference, and blood pressure, with biochemical investigations such as blood glucose and lipid profile.

Of the total 316 adults PLHIV studied, the most common cardiovascular risk factor found was dyslipidemia (82.7%), followed by inadequate physical activity (74.4%). Other behavioral risk factors studied, such as current tobacco use and current alcohol use, showed a prevalence of 12.8% and 5.4%, respectively, among male participants. The prevalence of hypertension among adult PLHIV studied was 15.8%, and diabetes was 12.3%. In the multivariate analysis, diabetes, and hypertension were significantly associated with age and literacy. Obesity was found to be associated with diabetes and abdominal obesity with dyslipidemia.

Dyslipidemia was the most common cardiovascular risk factor, followed by inadequate physical inactivity among PLHIV. Regular screening with blood glucose, blood pressure, and lipid profile, and timely cross-referrals can help in the early detection of CVRF among PLHIV and hence improve their quality of life through appropriate treatment.

Tuberculosis and diabetes both diseases are present in large numbers in the country and we are major contributors to both globally. With the objective to understand the various traits of patients having both tuberculosis and diabetes and to ascertain various possible predictors for such occurrence based on the public health database we carried out this study. We seek answers to questions like they have any effects? Are they having any additive role to play?

One-year data from the NIKSHAY portal of both districts were analyzed to look for possible associations and other variable traits. Data were analyzed using standard methods to express data in frequency and percentage. Chi-square test was used to establish association, while step-wise approach was used to calculate univariate and multivariate logistic regression analysis for knowing various predictors. P-value of <0.05 was considered statistically significant.

Concurrent diabetes in tuberculosis patients was close to 294 (6%) in the 4933 individuals. In total, 65.2% of the study population were male. Diagnosis of tuberculosis was made most of the time by chest X-ray (49.4%) followed by Microscopy ZN staining and cartridge-based nucleic acid amplification test (CBNAAT). Death was more among diabetics (4.4%) as compared to nondiabetics (3.5%).

Diabetes is increasing in tuberculosis patients; improvement in data quality is needed. More research is required to reveal various other reasons that make tuberculosis patients more prone to develop diabetes.