“…Of these, 123 studies met the inclusion criteria (figure 1). Fifty-eight studies11 24–80 concerning lifestyle and sociodemographic risk factors were included in the systematic review (online supplementary tables S1-S2). Twenty-nine studies11 29 32 34 37 38 40 41 46 48–51 53–55 59 60 62–66 69 73–75 79 80 were available for meta-analyses comprising 21 994 cases of gastroschisis.…”
Section: Resultsmentioning
confidence: 99%
“…Studies on lifestyle risk factors11 24–67 mainly investigated maternal smoking, illicit drug use, maternal alcohol consumption and maternal nutrition. Few studies investigated other maternal lifestyle habits (online supplementary table S1).…”
Section: Resultsmentioning
confidence: 99%
“…One study observed no significant association between swimming pool use and the risk of gastroschisis 24. One study showed a decreased risk associated with increased water consumption26 (online supplementary table S1).…”
BackgroundGastroschisis is strongly associated with young maternal age. This association suggests the need for further investigations on non-genetic risk factors. Identifying these risk factors is a public health priority in order to develop prevention strategies aimed at reducing the prevalence and health consequences in offspring.ObjectiveTo systematically assess and quantitatively synthesise the available epidemiological studies to evaluate the association between non-genetic risk factors and gastroschisis.MethodsLiterature from PubMed, EMBASE and Scopus was searched for the period 1990–2018. Epidemiological studies reporting risk estimates between lifestyle and sociodemographic risk factors and gastroschisis were included. Two pairs of reviewers independently extracted information on study characteristics following Preferred Reporting Items for Systematic Reviews and Meta-Analyses and MOOSE (Meta-analysis Of Oservational Studies in Epidemiology) guidelines. Relative risk (RR) estimates were calculated across the studies and meta-analysis was performed using random-effects model.ResultsWe identified 58 studies. Meta-analyses were conducted on 29 studies. Maternal smoking (RR 1.56, 95% CI 1.40 to 1.74), illicit drug use (RR 2.14, 95% CI 1.48 to 3.07) and alcohol consumption (RR 1.40, 95% CI 1.13 to 1.70) were associated with an increased risk of gastroschisis. A decreased risk among black mothers compared with non-Hispanic white mothers (RR 0.49, 95% CI 0.38 to 0.63) was found. For Hispanic mothers no association was observed.ConclusionsExposure to smoking, illicit drugs and alcohol during pregnancy is associated with an increased risk of gastroschisis. A significantly decreased risk for black mothers was observed. Further epidemiological studies to assess the potential role of other environmental factors are strongly recommended.PROSPERO registration numberCRD42018104284.
“…Of these, 123 studies met the inclusion criteria (figure 1). Fifty-eight studies11 24–80 concerning lifestyle and sociodemographic risk factors were included in the systematic review (online supplementary tables S1-S2). Twenty-nine studies11 29 32 34 37 38 40 41 46 48–51 53–55 59 60 62–66 69 73–75 79 80 were available for meta-analyses comprising 21 994 cases of gastroschisis.…”
Section: Resultsmentioning
confidence: 99%
“…Studies on lifestyle risk factors11 24–67 mainly investigated maternal smoking, illicit drug use, maternal alcohol consumption and maternal nutrition. Few studies investigated other maternal lifestyle habits (online supplementary table S1).…”
Section: Resultsmentioning
confidence: 99%
“…One study observed no significant association between swimming pool use and the risk of gastroschisis 24. One study showed a decreased risk associated with increased water consumption26 (online supplementary table S1).…”
BackgroundGastroschisis is strongly associated with young maternal age. This association suggests the need for further investigations on non-genetic risk factors. Identifying these risk factors is a public health priority in order to develop prevention strategies aimed at reducing the prevalence and health consequences in offspring.ObjectiveTo systematically assess and quantitatively synthesise the available epidemiological studies to evaluate the association between non-genetic risk factors and gastroschisis.MethodsLiterature from PubMed, EMBASE and Scopus was searched for the period 1990–2018. Epidemiological studies reporting risk estimates between lifestyle and sociodemographic risk factors and gastroschisis were included. Two pairs of reviewers independently extracted information on study characteristics following Preferred Reporting Items for Systematic Reviews and Meta-Analyses and MOOSE (Meta-analysis Of Oservational Studies in Epidemiology) guidelines. Relative risk (RR) estimates were calculated across the studies and meta-analysis was performed using random-effects model.ResultsWe identified 58 studies. Meta-analyses were conducted on 29 studies. Maternal smoking (RR 1.56, 95% CI 1.40 to 1.74), illicit drug use (RR 2.14, 95% CI 1.48 to 3.07) and alcohol consumption (RR 1.40, 95% CI 1.13 to 1.70) were associated with an increased risk of gastroschisis. A decreased risk among black mothers compared with non-Hispanic white mothers (RR 0.49, 95% CI 0.38 to 0.63) was found. For Hispanic mothers no association was observed.ConclusionsExposure to smoking, illicit drugs and alcohol during pregnancy is associated with an increased risk of gastroschisis. A significantly decreased risk for black mothers was observed. Further epidemiological studies to assess the potential role of other environmental factors are strongly recommended.PROSPERO registration numberCRD42018104284.
“…Reduced-fat varieties are best. [12].. Drinking more than 1000 ml of water per day) [13].. Snacks, cakes, pastries or sugar-sweetened drinks which high in saturated fat should be used less than five times a week and it is not a necessary part of a healthy diet and should be limited.…”
Abstract:The Objective of the study Is to assess the nutrition during pregnancy in Saudi women. It is a cross-sectional descriptive study conducted to collect, describe and analyze the nutritional status during pregnancy, performed on pregnant women. (May 2016 -July 2016. (210) patients selected from the antenatal clinic KAUH. Inclusion criteria include pregnant women, not in a special diet, and willing to participate. The ethics committee of KAU approved the study. Data collected using a Questionnaire (Food Frequency Questionnaire) developed and validated in English language. The questionnaire proposed, used as an indicator of a healthy nutritional diet. Which include eight questions. Results; The total number questionnaires (187) were ready for analysis the positive response rate was only (89.1%). The mean ± stander deviation of age (28.79 ± 5.418), Gravidity (2.98 ± 2.180), Gestational Age (29.42 ± 7.920). The mean of hemoglobin (9.79 ± 1.49), and BMI range from 14 -45 with a mean of (27.33 ± 6.59). When analyzing the questionnaires pregnant women divided into two group. Group 1 (171) those women who consumes healthy diet (eight questions answered yes) and Group 2 only 16 pregnant women out 187 (8.56%) consumes a poor diet. (25.7%) had hemoglobin was less than 9mg/dL. The group the poor diet had more small baby which was statistically significant with P < 0.026. Comparing the two groups the fetal complication were statistically significant higher in the poor diet group, with a p value < 0.004 with OD ratio 95% confidence limit 7. 318 (2.128-25.166). The level of hemoglobin were less than 10 mg/dL 0.280 (0.087 -0.902) P < 0.022. The MBI less than 25 with ODs ratio and 95% cl 0.364 (0.121 -1.092) and p < 0.54. In conclusion, our sample of Saudi pregnant women only 8.56%, and 25.7% their hemoglobin were less than 9gm/dL and their BMI were 27. 33. Poor diet affect only the level of hemoglobin and fetal weight at delivery.
“…Covariates that were found to be statistically associated ( p < .05) with the outcome group and exposure using chi-square tests of independence or Fisher’s exact tests (if expected cell counts <5) were added separately to the exposure-only model; covariates that changed the cOR estimate by more than 10% were included in the adjusted model. Because a previous NBDPS study reported that increases in maternal water consumption were inversely associated with CL (Alman, Coffman, Siega-Riz, Luben, & National Birth Defects Prevention Study, 2017), we considered total maternal water consumption during the critical exposure period as a potential covariate in adjusted analyses. We observed that total maternal water consumption was not associated with any OFC outcome group using logistic regression analysis, and thus, it was not included in any adjusted models.…”
This study examined associations for maternal reports of drinking water filtration and consumption and maternal DBP exposure from drinking water with OFCs in offspring. Associations observed were near or below unity and mostly nonsignificant. Continued, improved research using maternal individual-level exposure data will be useful in better characterizing these associations.
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