Spousal Violence and Contraceptive Use among Married Afghan Women in a Nationally Representative Sample

Partial funding for Open Access provided by the UMD Libraries' Open Access Publishing Fund.Objective: Afghanistan is one of the countries with the highest prevalence of spousal violence (56%) and a low prevalence of contraceptive use (23%), yet there is no study assessing how spousal violence is related to contraceptive use, and what methods are most used by women. Therefore, this study examined the association between the number of types of spousal violence and contraceptive use. Method: Using data from 18,985 Afghan married women, aged 15 to 49, who responded to the 2015 Afghanistan Demographic and Health Survey, the current contraceptive method was grouped into five categories: male-involved methods, pills, injectables, long-acting reversible contraception, female sterilization, and Lactation Amenorrhea Method. The number of types of spousal violence in the past 12 months was categorized as none, one type, or two or more types, based on women’s experiences with verbal, physical, and sexual violence. For analysis, binary and multinomial logistic regression were used. Results: After adjusting for the covariates, the experience of any spousal violence was associated with contraception use (adjusted odds ratio (aOR) = 1.93, 95% CI: 1.64–2.27, p = 0.0001). Among those using contraception, experiencing two or three types of spousal violence was associated with using pills (adjusted risk ratio (aRRR) = 2.12, 95% CI: 1.63–2.77, p = 0.0001), injections (aRRR = 1.75, 95% CI: 1.26–2.41, p = 0.001), and LAM (aRRR = 3.27, 95% CI: 2.05–5.20, p = 0.0001), compared to male-involved methods. Conclusions: The findings of this study may inform policymakers and program implementers in designing interventions to address the pervasive problem of violence against women, and make pills and injectables more accessible to Afghan women, since these methods are under women’s control and more often used in Afghanistan.https://doi.org/10.3390/ijerph1916978

A United States national reference for foetal growth for Asian American ethnicities

The purpose of this study was to calculate 10th, 50th, and 90th percentiles of birth weight for gestational age for the total US population and the Asian-American ethnicities. Using the US Natality data files for the years 1992–2020, estimated growth curves were determined across gestational ages and for each Asian American ethnic group—Chinese, Asian Indians, Japanese, Koreans, Filipino, and Vietnamese. Average weight at the 10th, 50th and 90th foetal growth percentiles by race/ethnicity and sex were calculated. Overall, for the 10th, 50th and 90th percentiles, Asian American average birth weight was 18, 90 and 144 g lower than the national average, respectively. We also found that Asian Indians consistently had the lowest birthweight, while Koreans had the highest birthweight among Asian Americans. Updated racial/ethnic-specific weight percentiles by gestational age can be a useful reference for accurate small and large-for-gestational age classifications among different Asian American sub-populations.Impact statement What is already known on this subject? Foetal growth is an important determinant of infants' immediate and long-term health outcomes and foetal growth reference curves have been developed to provide average birth weights for each week of gestation and identify growth-restricted as well as excess-weighing foetuses. What the results of this study add? Using the U.S. Natality data files for the years 1992–2020, estimated growth curves were determined across gestational ages and for each Asian American ethnic group—Chinese, Asian Indians, Japanese, Koreans, Filipino, and Vietnamese. Average weight at the 10th, 50th and 90th foetal growth percentiles by race/ethnicity and sex were calculated. What the implications are of these findings for clinical practice and/or further research? Updated racial/ethnic-specific weight percentiles by gestational age can be a useful reference for accurate small and large-for-gestational age classifications among different Asian American sub-groups

USING NOMINAL GROUP TECHNIQUE TO ELUCIDATE A COVID-19 RESEARCH AGENDA FOR MATERNAL AND CHILD HEALTH (MCH) POPULATIONS

As the global impact of the COVID-19 pandemic continues to evolve, robust data describing its effect on maternal and child health (MCH) remains limited. The aim of this study was to elucidate an agenda for COVID-19 research with particular focus on its impact within MCH populations. This was achieved using the Nominal Group Technique through which researchers identified and ranked 12 research topics across various disciplines relating to MCH in the setting of COVID-19. Proposed research topics included vaccine development, genomics, and artificial intelligence among others. The proposed research priorities could serve as a template for a vigorous COVID-19 research agenda by the NIH and other national funding agencies in the US

Expected Surge in Maternal Mortality and Severe Morbidity among African-Americans in the Era of COVID-19 Pandemic

Prior to the COVID-19 pandemic, African-American mothers were three times as likely to die from pregnancy-related causes compared to white mothers. The impact of the pandemic among African- Americans could further worsen the racial disparities in maternal mortality (MM) and severe maternal morbidity (SMM). This study aimed to create a theoretical framework delineating the contributors to an expected rise in maternal mortality (MM) and severe maternal morbidity (SMM) among African-Americans in the era of the COVID-19 pandemic due to preliminary studies suggesting heightened vulnerability of African-Americans to the virus as well as its adverse health effects. Rapid searches were conducted in PubMed and Google to identify published articles on the health determinants of MM and SMM that have been or likely to be disproportionately affected by the pandemic in African-Americans. We identified socioeconomic and health trends determinants that may contribute to future adverse maternal health outcomes. There is a need to intensify advocacy, implement culturally acceptable programs, and formulate policies to address social determinants of health. Keywords: • COVID-19 • Maternal mortality • Severe maternal morbidity • African-Americans   Copyright © 2020 Yusuf et al. Published by Global Health and Education Projects, Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in this journal, is properly cited

COVID-19 Devastation of African American Families: Impact on Mental Health and the Consequence of Systemic Racism

African Americans are bearing a disproportionate burden of morbidity and mortality due to COVID-19 pandemic. To our knowledge, no previous study has delineated inequities potentially incentivized by systemic racism, and whether synergistic effects impose an abnormally high burden of social determinants of mental health on African American families in the era of COVID-19 pandemic. We applied the social ecological model (SEM) to portray inequities induced by systemic racism that impact the mental health of African American families. In our model, we identified systemic racism to be the primary operator of mental health disparity, which disproportionately affects African American families at all levels of the SEM. Programs tailored towards reducing the disproportionate detrimental effects of COVID-19 on the mental health of African Americans need to be culturally appropriate and consider the nuances of systemic racism, discrimination, and other institutionalized biases. Key words: • African American • COVID-19 • Mental health • Systemic racism • Social determinants of mental health   Copyright © 2020 Ibrahimi et al. Published by Global Health and Education Projects, Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in this journal, is properly cited

Using Nominal Group Technique to Elucidate a COVID-19 Research Agenda for Maternal and Child Health (MCH) Populations

As the global impact of the COVID-19 pandemic continues to evolve, robust data describing its effect on maternal and child health (MCH) remains limited. The aim of this study was to elucidate an agenda for COVID-19 research with particular focus on its impact within MCH populations. This was achieved using the Nominal Group Technique through which researchers identified and ranked 12 research topics across various disciplines relating to MCH in the setting of COVID-19. Proposed research topics included vaccine development, genomics, and artificial intelligence among others. The proposed research priorities could serve as a template for a vigorous COVID-19 research agenda by the NIH and other national funding agencies in the US. Key words: • COVID-19 • Coronavirus • Pandemics • Maternal and child health • MCH • Big data • Artificial intelligence   Copyright © 2020 Ikedionwu et al. Published by Global Health and Education Projects, Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in this journal, is properly cited

Covid-19 and Neuro-Behavioral Economics: A Conceptual Framework to Improve Physical and Mental Health among Remote Workers

Long-term home confinement during the ongoing COVID-19 can have negative mental and physical health consequences, which in turn can reduce productivity among those working remotely. We sought to delineate factors related to neuro-behavioral economics that employers should consider for their employees who are teleworking during the current Covid-19 pandemic. Physical and mental well-being are intertwined and are strongly correlated to high productivity at workplace. By integrating the factors of neuro-behavioral economics into the work culture, companies will alleviate work-related stress leading to improved mental and physical functioning; thus leading to increased productivity. Key words: • Neuro-behavioral economics • COVID-19 • Teleworking • Mental health   Copyright © 2020 Dongarwar et al. Published by Global Health and Education Projects, Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in this journal, is properly cited