Background:
Stillbirth is one of the unfavorable consequences of pregnancy. Generally, the true causes of fetal death are complicatedand difficult to accurately identify.Objectives: The present study was aimed to identify risk factors for stillbirth among mothers referring to health centers of Hormozganprovince, Iran.Methods: This case-control study was conducted in ۱۲ cities of
Hormozgan province in ۲۰۱۵. The samples were randomly selectedamong those referring to the health centers of
Hormozgan province by cluster sampling. Required data were collected by using aresearcher-made questionnaire comprised of demographic characteristics of the mother pregnancy and delivery. The univariateand multivariate logistic regression analyses were used to measure the correlation between variables within a significance level of۵%. Data analysis was performed using SPSS, version ۲۱.Results: A total of ۸۲۵ mothers were recruited and assigned into two groups, experimental and control groups. There were ۴۰۳mothers with a history of stillbirth in the experimental group, and the control group was comprised of ۴۲۲ mothers with a healthylive birth. The average age of the participants in the experimental and control groups were ۲۷.۶۸ ۶.۴ and ۲۶.۹۶ ۵.۴ years, respectively.Most of the mothers (> ۹۰%) in both groups were housewives and most mothers in the case group (۳۷%) were illiterate,whereas the majority of controls (۴۳%) had a university education. The odds of stillbirth among mothers older than ۳۵ years was ۲.۳۳times higher than other mothers [OR: ۲.۳۳, ۹۵% CI (۱.۲۸۷ - ۴.۲۴۶)]. The odds of stillbirth among mothers with a history of stillbirthwas ۱۰ times higher than those with no stillbirth history [OR: ۱۰.۱, ۹۵% CI (۲.۸۴۶ - ۳۵.۹۷۳)].Conclusions: The findings of this paper show that the fetal death is associated with maternal age, maternal education, maternalarea of living, history of stillbirth in previous pregnancies and history of abortion in previous pregnancies. The results of this studymay help to conduct future research effectively, and help supervisors and policymakers make evidence-based operational decisions.