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Background: Social support is generally perceived to facilitate health in postpartum women; however, previous research shows that this is not always true. Social interactions intended to provide support can be perceived as negative and in turn, may have negative impacts on maternal health. The purpose of the present study was to asses if social support and negative interactions at one month after childbirth can predict maternal health four months after childbirth, and if this relationship is influenced by culture. Methods: This prospective longitudinal cohort study included randomly selected Arab (n = 203) and Jewish (n = 202) women who attended Mother and Child Health Clinics in Northern Israel one month after giving birth. The women were interviewed at one and four months after childbirth using a questionnaire including measures of health (self-reported health (SRH) and health problems), socioeconomic and demographic status, obstetric characteristics, social support, negative social interactions and perceptions of customs and traditions intended to help the mother cope after childbirth. Multivariable regressions were run to identify the variables predicting health four months after childbirth. Results: The response rate for both interviews was 90%. Negative social interactions one month after childbirth significantly predicted health problems in Arab and Jewish women (Beta 0.20 and 0.37 respectively) and SRH among Arab women only (odds ratio (OR) 0.32, confidence interval (CI) 0.19-0.54) four months after childbirth. Social support at one month after childbirth significantly predicted better SRH in both Jewish and Arab women four months after childbirth (OR 2.33, CI 1.38-3.93 and 1.59, CI 1.01-2.46 respectively) and fewer health problems only among Jewish women (Beta − 0.37). Conclusions: Social support and negative social interactions appear to be predictive of health in postpartum women. Associations varied between Arabs and Jews, indicating that social support may be more important for predicting health among Jewish women and negative interactions may be more important among Arab women. Healthcare practitioners should be aware of the cultural context and social circumstances of postpartum women to ensure they receive the social support and care they need.

Introduction A low response to COVID-19 vaccination was observed among the Arab population in Israel. Efforts to improve this achieved moderate results. Objectives The aim of this study was to examine the extent to which demographic and cultural factors, the media, trust, perceptions, and government policies influence the willingness of Arabs to be vaccinated against COVID-19. Methods A cross-sectional survey was conducted among Israeli Arabs (558 respondents). The questionnaire was distributed through social networks between January 16 and 26, 2021. The t-tests, Chi-square tests, Z tests, which were used to evaluate the significance of variables, and Pearson correlations calculated for the study variables were used for statistical analysis. Hierarchical logistic regression was calculated to assess the extent of background influence on the odds for vaccination, and mediation was examined using the Process procedure. Results Moderate means were found for attitudes towards vaccination, vulnerability, vaccine effectiveness, and pandemic fatigue. A lower score was found for accessibility to medical services, social norms, and emotional barriers. Trust was highest in health-related authorities, whereas trust in government and the media was the lowest. Higher pandemic fatigue was associated with lower trust and lower odds for vaccination. Discussion Lack of awareness of the specific needs of the Arab minority in Israel, lack of vaccination campaigns in Arabic language, long neglect of Arabs in the Israeli health system, mistrust of governmental authorities by the Arabs, and low socioeconomic background of Israeli Arabs might have led to lower trust levels and incompliance with governmental policies among Arabs. Addressing these issues may benefit the entire population. The authors believe that “A chain (in population health) is only as strong as its weakest link.”