31 research outputs found

    Infertility in Muslim Refugees: A Review of the Literature

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    Many couples worldwide are affected by infertility, which is defined as an inability to conceive after at least one year of regular unprotected sexual intercourse. Many Muslim and Middle Eastern societies place a high societal value on having children and therefore, couples who are unable to conceive for various reasons often find themselves feeling stigmatized and socially isolated. Muslim refugees living in the United States face additional challenges and barriers to care due to their refugee status. This review is a synthesis of existing literature that 1) identifies Islamic viewpoints on infertility and assistive reproductive technology (ART), 2) explores the psychosocial impact of infertility for Muslim refugees, and 3) identifies barriers to care for this population. A PubMed search was conducted which yielded 592 records. After screening and removal of duplicates, 37 full-length texts were included for review. Key findings included different religious perspectives regarding various forms of ART between the two major sects of Islam (Sunni and Shia), significant social stigma and stress from infertility, and barriers to care such as high cost of treatment. Future research is needed in this area to better provide culturally competent care to Muslim couples experiencing infertility

    Geographic bias related to geocoding in epidemiologic studies

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    BACKGROUND: This article describes geographic bias in GIS analyses with unrepresentative data owing to missing geocodes, using as an example a spatial analysis of prostate cancer incidence among whites and African Americans in Virginia, 1990–1999. Statistical tests for clustering were performed and such clusters mapped. The patterns of missing census tract identifiers for the cases were examined by generalized linear regression models. RESULTS: The county of residency for all cases was known, and 26,338 (74%) of these cases were geocoded successfully to census tracts. Cluster maps showed patterns that appeared markedly different, depending upon whether one used all cases or those geocoded to the census tract. Multivariate regression analysis showed that, in the most rural counties (where the missing data were concentrated), the percent of a county's population over age 64 and with less than a high school education were both independently associated with a higher percent of missing geocodes. CONCLUSION: We found statistically significant pattern differences resulting from spatially non-random differences in geocoding completeness across Virginia. Appropriate interpretation of maps, therefore, requires an understanding of this phenomenon, which we call "cartographic confounding.

    Virginia Refugee’s Access to COVID 19 Health Information

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    Background: This study examined how refugees in central Virginia, United States were able to access public health information about COVID-19 and any barriers to following COVID-19 prevention guidelines. Methods: Individual interviews were conducted with refugees (n = 40) attending a family medicine clinic serving refugees and immigrants. Participants answered questions about their primary methods of obtaining COVID-19 and COVID-19 vaccine information, how they prefer to receive this information, information given by employers, precautions taken at their place of work, and current vaccination status. Results: We found that television and social media played a large role for refugees in obtaining COVID-19 information. Participants noted they preferred in-person visits and phone calls to communicate with their healthcare providers, who were important for disseminating vaccine information. Discussion: This is one of the first studies to explore how refugees obtain health information related to COVID-19 and the vaccine, and provides valuable information as vaccination outreach continues in light of new viral strains and increased need for booster vaccinations. Conclusion: The results of this study can guide development of health communication materials to engage refugee communities as the COVID-19 pandemic evolves and responses to i

    Immigrant Medicine

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    Duration of breastfeeding and risk of SIDS: an individual participant data meta-analysis

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    CONTEXT: Sudden infant death syndrome (SIDS) is a leading cause of postneonatal infant mortality. Our previous meta-analyses showed that any breastfeeding is protective against SIDS with exclusive breastfeeding conferring a stronger effect.The duration of breastfeeding required to confer a protective effect is unknown. OBJECTIVE: To assess the associations between breastfeeding duration and SIDS. DATA SOURCES: Individual-level data from 8 case-control studies. STUDY SELECTION: Case-control SIDS studies with breastfeeding data. DATA EXTRACTION: Breastfeeding variables, demographic factors, and other potential confounders were identified. Individual-study and pooled analyses were performed. RESULTS: A total of 2267 SIDS cases and 6837 control infants were included. In multivariable pooled analysis, breastfeeding for <2 months was not protective (adjusted odds ratio [aOR]: 0.91, 95% confidence interval [CI]: 0.68–1.22). Any breastfeeding ≥2 months was protective, with greater protection seen with increased duration (2–4 months: aOR: 0.60, 95% CI: 0.44–0.82; 4–6 months: aOR: 0.40, 95% CI: 0.26–0.63; and >6 months: aOR: 0.36, 95% CI: 0.22–0.61). Although exclusive breastfeeding for <2 months was not protective (aOR: 0.82, 95% CI: 0.59–1.14), longer periods were protective (2–4 months: aOR: 0.61, 95% CI: 0.42–0.87; 4–6 months: aOR: 0.46, 95% CI: 0.29–0.74). LIMITATIONS: The variables collected in each study varied slightly, limiting our ability to include all studies in the analysis and control for all confounders. CONCLUSIONS: Breastfeeding duration of at least 2 months was associated with half the risk of SIDS. Breastfeeding does not need to be exclusive to confer this protection

    Review of Immigrant families in contemporary society.

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    Sudden infant death syndrome

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    Sudden infant death syndrome (SIDS) continues to be the most common cause of postneonatal infant death. SIDS is a complex, multifactorial disorder, the cause of which is still not fully understood. However, much is known now about environmental risk factors, some of which are modifiable. These include maternal and antenatal risk factors such as smoking during pregnancy, as well as infant-related risk factors such as non-supine sleeping position and soft bedding. Emerging evidence also substantiates an expanding number of genetic risk factors. Interactions between environmental and genetic risk factors may be of critical importance in determining an infant's actual risk of SIDS. Although no practical way exists to identify which infants will die of SIDS, nor is there a safe and proven prevention strategy even if identification were feasible, reducing exposure to modifiable risk factors has helped to lower the incidence of SIDS. Current challenges include wider dissemination of guidelines to all people who care for infants, dissemination of guidelines in culturally appropriate ways, and surveillance of SIDS trends and other outcomes associated with implementation of these guidelines
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