Ensiyeh Jenabi1, Maryam Afshari2, Salman Khazaei3. 1. Autism Spectrum Disorders Research Center, Hamadan University of Medical Sciences, Hamadan, Iran. 2. School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran. 3. Department of Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
Abstract
OBJECTIVE: We performed a systematic review and meta-analysis to summarize the epidemiologic evidence of the association between preeclampsia and increased risk of metabolic syndrome after delivery. METHODS: A comprehensive literature search of numerous electronic databases including PubMed, Scopus, and Web of Sciences was performed until 1 July 2019. The pooled odds ratios (ORs) and their 95% confidence intervals (CIs) were calculated as random effect estimates of association among studies. Begg's and Egger's linear regression tests were employed to investigate publication bias. RESULTS: The pooled estimates of crude and adjusted ORs showed a significant association between preeclampsia and the risk of metabolic syndrome ((crude OR = 2.93, 95% CI = 1.92-4.47) and (adjusted OR = 1.62, 95% CI = 1.25-2.08)), respectively. CONCLUSIONS: The results of this meta-analysis provide evidence for relation between preeclampsia and increase in risk of metabolic syndrome. However, more epidemiological and clinical studies are needed to explore the mechanism of preeclampsia on increased risk of metabolic syndrome.
OBJECTIVE: We performed a systematic review and meta-analysis to summarize the epidemiologic evidence of the association between preeclampsia and increased risk of metabolic syndrome after delivery. METHODS: A comprehensive literature search of numerous electronic databases including PubMed, Scopus, and Web of Sciences was performed until 1 July 2019. The pooled odds ratios (ORs) and their 95% confidence intervals (CIs) were calculated as random effect estimates of association among studies. Begg's and Egger's linear regression tests were employed to investigate publication bias. RESULTS: The pooled estimates of crude and adjusted ORs showed a significant association between preeclampsia and the risk of metabolic syndrome ((crude OR = 2.93, 95% CI = 1.92-4.47) and (adjusted OR = 1.62, 95% CI = 1.25-2.08)), respectively. CONCLUSIONS: The results of this meta-analysis provide evidence for relation between preeclampsia and increase in risk of metabolic syndrome. However, more epidemiological and clinical studies are needed to explore the mechanism of preeclampsia on increased risk of metabolic syndrome.