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Background: Infants fed contaminated breast milk are at an increased risk of exposure to lead. Breast milk to blood (M/B) ratios have not been investigated among women in Palestine. The aim of this study was to assess blood, breast milk, and M/B lead ratios in samples collected from Palestinian breastfeeding women. Associations between sociodemographic characteristics with breast milk lead levels and M/B lead ratios were also investigated. Methods: This study was conducted in a cross-sectional design in the period between October 2017 and April 2018. Breastfeeding women visiting maternity care centers in different regions of the West Bank of Palestine were recruited to the study by the nurses in the maternity care centers. Sociodemographic characteristics, venous blood, and breast milk samples were collected from each participant. Lead concentrations were analyzed using a validated inductively coupled plasma-mass spectrometric method. Mann–Whitney U test, Pearson's Chi-square, Fisher's exact, and Spearman's correlations were used to analyze the data. Odds ratios (OR) were computed using a multivariate logistic regression model. Results: Matching blood and milk samples were collected from 80 women. Lead concentrations in 11 (13.8%) of the breast milk samples were above the World Health Organization's recommended levels. Breast milk lead levels were more likely to be ≥5 μg/L in breastfeeding women who lived in urban areas (aOR 4.96; 95% CI 1.10, 22.38) compared to those who lived in rural areas. Breast milk to blood lead ratios were more likely to be ≥25% in breastfeeding women who lived in urban areas (aOR 7.06; 95% CI 1.68, 29.77), used eye kohl (aOR 14.29; 95% CI 1.32, 155.06), and used hair dye (aOR 5.33; 95% CI 1.58, 18.00) compared to those who lived in rural areas, did not use eye kohl, and did not use hair dye, respectively. Conclusions: Higher M/B lead ratios were predicted by living in urban areas, using eye kohl, and using hair dye. Decision makers in health authorities should address sources of exposure to lead in urban areas. Cosmetics containing lead should be assessed and regulated for lead content. [ABSTRACT FROM AUTHOR]

Objective. Several studies indicate that ethnicity may be a strong predictor of poor self-rated health (SRH). The aims of the present study were to investigate whether there was an association between ethnicity and poor SRH in subjects with type 2 diabetes and to determine if the association remained after adjusting for possible confounders such as age, gender employment, marital status, and education. Design. A cross-sectional study based on a patient population in the town of Södertälje. An unconditional logistic regression was performed to estimate the odds ratios (ORs) and 95% confidence intervals (95% CIs). Setting. Four primary health care centers. Subjects. A total of 354 individuals were included: Assyrian/Syrian-born (n = 173) and Swedish-born (n = 181). Results. The odds ratio for rating poor SRH for Assyrian/Syrian subjects with type 2 diabetes was 4.5 times higher (95% CI = 2.7-7.5) than for Swedish patients in a crude model. After adjusting for possible confounders, unemployed/retired people had 5.4 times higher odds for reporting poor SRH than employees (OR = 5.4; 95% CI = 2.3-12.5). Women had 1.8 times higher odds (95% CI = 1.0-3.0) for reporting poor SRH than men. In the final model poor SRH among Assyrians/Syrians decreased but still remained significant (OR=3.7; 95% CI = 2.5-6.6). Conclusions. The findings in this study are important for planning primary health care services. They highlight the crucial importance of being aware of the subjective health status of immigrants fleeing from war in the Middle East and resettling in Sweden. [ABSTRACT FROM AUTHOR]