Background: In the United States, infertility and treatment for infertility are marked by racial/ethnic and socioeconomic inequalities. Simultaneously, biomedical advances and increased public health attention toward preventing and addressing infertility have grown. It is not known, however, whether the racial/ethnic and socioeconomic inequalities observed in infertility prevalence, help-seeking, or help received have changed over time.
Methods: Using National Survey of Family Growth data (1995 through 2017-2019 cycles), this study applied multivariable logistic regression with interaction terms to investigate whether and how racial/ethnic and socioeconomic inequalities in 1) the prevalence of infertility, 2) ever seeking help to become pregnant, and 3) use of common types of medical help (advice, testing, medication for ovulation, surgery for blocked tubes, and artificial insemination) have changed over time.
Results: The results showed persisting, rather than narrowing or increasing, inequalities in the prevalence of infertility and help-seeking overall. The results showed persisting racial/ethnic inequalities in testing, ovulation medication use, and surgery for blocked tubes. By contrast, the results showed widening socioeconomic inequalities in testing and narrowing inequalities in the use of ovulation medications.
Conclusions: There is little evidence to suggest policy interventions, biomedical advances, or increased public health awareness has narrowed inequalities in infertility prevalence, treatment seeking, or use of specific treatments.
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http://dx.doi.org/10.1016/j.whi.2024.03.005 | DOI Listing |
BMJ Open
January 2025
Population Council, New Delhi, India.
Objective: This study examined economic inequality in coverage of selected maternal and child healthcare (MCH) indicators in India and its states over the last 15 years.
Design: The study analysed last three rounds of the National Family Health Survey data, conducted during 2005-2006, 2015-2016 and 2019-2021. Bivariate analyses, ratio of richest to poorest, slope index of inequality (SII) and multivariate binary logistic regression analyses were used to examine the coverage as well as inequalities in the outcome indicators for India and its states and at district level.
PLoS One
January 2025
Department of Epidemiology, School of Public Health, University of São Paulo, São Paulo, Brazil.
Objectives: This study aimed to evaluate socioeconomic inequalities in self-reported oral health among community-dwelling Brazilian older adults and evaluate the oral health factors contributing to the inequalities.
Methods: This was a cross-sectional study with data from the Brazilian National Health Survey conducted in 2019. The dependent variable is the self-report of oral health categorized as good or poor.
Int Nurs Rev
March 2025
Psychiatric and Mental Health Nursing Department, Faculty of Nursing, Alexandria University, Alexandria City, Egypt.
Aim: This study investigates the association between gender inequality, economic inequality, and organizational entrenchment among nurses serving in remote areas.
Background: Egypt ranks low in gender equity across the Middle East and North Africa (MENA) region. In the culture of nursing, gender-based discrimination is among the factors that can further hamper nurses' economic advancement and adversely affect organizational entrenchment.
J Racial Ethn Health Disparities
January 2025
Epidemiology and Health Economics Research (EHER), Universidad Científica del Sur, Lima, Peru.
Background: The Afro-Peruvian population is one of the ethnic minorities most affected by cultural, socioeconomic, and health barriers; however, there is little evidence on health inequalities in this ethnic group. Therefore, We aimed to determine health inequalities among the Peruvian Afro-descendant population in comparison with non-Afro-descendants.
Methods: A cross-sectional study was conducted using data from the Demographic and Family Health Survey 2022.
J Racial Ethn Health Disparities
January 2025
Center for Population Health Sciences, Stanford University School of Medicine, Stanford, CA, USA.
Recent research shows a significant link between race-ethnicity and income concentration and premature death rates in the U.S. However, most studies focus on Black-White residential concentration, overlooking racial-ethnic diversity.
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