scholarly journals Assessing the relationship between adverse pregnancy outcomes and area-level deprivation in Wales 2014–2019: a national population-based cross-sectional study

BMJ Open ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. e052330
Author(s):  
Heather Brown ◽  
Amrita Jesurasa ◽  
Clare Bambra ◽  
Judith Rankin ◽  
Amy McNaughton ◽  
...  

ObjectivesThe aim of this study was to assess the relationship between deciles of area-level deprivation and seven adverse pregnancy outcomes in Wales.DesignCross-sectional analysis.Setting64 699 live births in Wales from 31 March 2014 to 16 September 2019.Primary outcome variableWe examined each of the following seven adverse pregnancy outcomes: (1) small for gestational age (SGA); (2) large for gestational age; (3) preterm birth; (4) third-degree or fourth-degree perineal tear; (5) major postpartum haemorrhage (MPPH); (6) a lower Apgar score at 5 min and (7) emergency caesarean section.ResultsThere was no significant association between increasing aggregate measures of area-level deprivation and the adverse pregnancy outcomes we studied. Women living in an area with greater access to services are more likely to have a baby that is SGA (1.27, 95% CI 1.11 to 1.49), have a greater likelihood of a perineal tear (1.74, 95% CI 1.15 to 2.61), are significantly less likely to have MPPH (0.79, 95% CI 0.64 to 0.96), have a baby with an Apgar score of 0.26 higher (95% CI 0.22 to 0.29) and are significantly less likely to have an emergency caesarean section (0.81, 95% CI 0.73 to 0.88). Women living in areas with higher employment (0.26, 95% CI 0.19 to 0.36) and better health (0.26, 95% CI 0.19 to 0.35) were less likely to experience perineal tear.ConclusionsThere was no clear social-spatial gradient in area-level deprivation and adverse pregnancy outcomes. We found a stronger association for individual-level behavioural risk factors than area-level factors. These findings support the benefits that accessible and holistic person-centred care may bring through addressing individual behavioural risk factors. There is a need for improved data completeness and further individual-level data on risk factors such as employment and income to better understand the role which may be played by population-level policies and their pathways to affecting outcomes.

2021 ◽  
Author(s):  
Prakash Prabhakarrao Doke ◽  
Sonali Hemant Palkar ◽  
Jayashree Sachin Gothankar ◽  
Archana Vasantrao Patil ◽  
Amruta Paresh Chutke ◽  
...  

Abstract Background: The health of women during the preconception phase though critical, is a comparatively ignored part in her life cycle. The presence of health risks is judged as hazardous to the wellbeing of women and their forthcoming progeny. The study aimed to estimate the prevalence of various pregnancy outcomes and assess the association between various risk factors and adverse outcomes. Methods: It was a population-based cross-sectional analytical study. The study was carried out in Nashik District, having a large mountainous area. It included two randomly selected blocks, one tribal and one nontribal, in which interventions were planned in the later stage. For comparison, two adjacent blocks, one tribal and one nontribal, were also included. All women who had a pregnancy outcome in the preceding 12 months (01 April 2017 to 31 March 2018) were interviewed. Trained Accredited Social Health Activists under the direct supervision of Auxiliary Nurse Midwives and Medical Officers conducted the survey. Multivariate analysis was carried out to find the adjusted risk ratio of having a particular adverse outcome because of the specified potential risk factors.Results: A total of 9,307 women participated in the study. The prevalence of adverse pregnancy outcomes was abortion 4.1%; stillbirth 1.6%; preterm birth 4.1%; LBW 11.2%; congenital physical defect 2.6%. Prevalence of consanguineous marriage, heavy work during the last six months of pregnancy, pre-existing illness, tobacco consumption, direct exposure to pesticides and domestic violence during pregnancy was 17.6%; 16.9%; 2.2%; 5.6%; 2.3%; and 0.8%, respectively. Risk factors that were significantly associated with abortion include existing illness at the time of conception and performing heavy work in the last six months of pregnancy. Consanguinity, tobacco consumption during pregnancy and pre-existing illness were identified as risk factors for stillbirth. Significant risk factors of LBW were heavy work in the last six months of pregnancy, pre-existing illness and residence in a tribal area. Conclusion: The survey showed that risk factors differentially affect outcomes of pregnancy. Preconception and antenatal care should include counselling about consanguineous marriages, identifying and managing a pre-existing illness, avoiding tobacco consumption in the prenatal and natal period, and avoiding heavy work during pregnancy.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jing Lin ◽  
Hua Jin ◽  
Lei Chen

Abstract Background This study aimed to explore the relationship between insulin resistance (IR) and adverse pregnancy outcomes in women with gestational diabetes mellitus (GDM), and to determine the risk factors for IR in women with GDM. Methods This study employed a retrospective survey of 710 women diagnosed with GDM. Serum lipids, fasting plasma glucose (FPG), glycosylated hemoglobin (HbA1c), and serum protein were measured in the first trimester (6–12 weeks), and OGTT and fasting insulin tests were performed in the second trimester (24–28 weeks). These results were then used to evaluate IR by homeostasis model assessment (HOMA). When HOMA-IR ≥ 2.0, IR was diagnosed. The relationship between HOMA-IR and adverse pregnancy outcomes was analyzed by a logistic regression model, and multiple stepwise regression was used to analyze the risk factors of IR. Results IR significantly increasd the risk of the hypertensive disorders of pregnancy and large for gestational age (LGA) (OR = 5.31,95%CI:1.87,15.10; OR = 1.65,95%CI:1.10, 2.48, respectively) in women with GDM, but not for cesarean section, premature delivery, premature rupture of membranes, postpartum hemorrhage, macrosomia and SGA. Compared to normal groups, greater body mass index (BMI) before pregnancy category (overweight or obesity group) were associated with higher risk of IR in the second trimester, the OR (95% CI) were 4.09 (2.65, 6.30) and 6.52 (2.99, 14.20). And higher level of FPG (OR = 1.63, 95%CI: 1.11, 2.40), TG (OR = 1.32, 95%CI: 1.08, 1.63) and weight gain before diagnosis of GDM (OR = 1.08, 95%CI: 1.02, 1.15) were also associated with higher risk of IR in the second trimester in women with GDM, while age (OR = 0.94, 95%CI: 0.90, 0.98)was the weak protective factor for IR. Conclusion GDM with IR in the second trimester increased adverse pregnancy outcomes, especially the risk of hypertensive disorders of pregnancy and LGA. In addition, FPG, HbA1c, and TG in early pregnancy, pre-pregnant BMI and weight gain before diagnosis of GDM were all independent risk factors for IR.


2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Stuti Bahl ◽  
Neeta Dhabhai ◽  
Sunita Taneja ◽  
Pratima Mittal ◽  
Rupali Dewan ◽  
...  

Abstract Background The burden of gestational diabetes mellitus (GDM) appears to be increasing in India and may be related to the double burden of malnutrition. The population-based incidence and risk factors of GDM, particularly in lower socio-economic populations, are not known. We conducted analyses on data from a population-based cohort of pregnant women in South Delhi, India, to determine the incidence of GDM, its risk factors and association with adverse pregnancy outcomes (stillbirth, preterm birth, large for gestational age babies) and need for caesarean section. Methods We analyzed data from the intervention group of the Women and Infants Integrated Interventions for Growth Study (WINGS), an individually randomized factorial design trial. An oral glucose tolerance test (OGTT) was performed at the time of confirmation of pregnancy, and for those who had a normal test (≤140 mg), it was repeated at 24–28 and at 34–36 weeks. Logistic regression was performed to ascertain risk factors associated with GDM. Risk ratios (RR) were calculated to find association between GDM and adverse pregnancy outcomes and need for caesarean section. Results 19.2% (95% CI: 17.6 to 20.9) pregnant women who had at least one OGTT were diagnosed to have GDM. Women who had prediabetes at the time of confirmation of pregnancy had a significantly higher risk of developing GDM (RR 2.08, 95%CI 1.45 to 2.97). Other risk factors independently associated with GDM were woman’s age (adjusted OR (AOR) 1.10, 95% CI 1.06 to 1.15) and BMI (AOR 1.04, 95% CI 1.01 to 1.07). Higher maternal height was found to be protective factor for GDM (AOR 0.98, 95% CI 0.96 to 1.00). Women with GDM, received appropriate treatment did not have an increase in adverse outcomes and no increased need for caesarean section Conclusions A substantial proportion of pregnant women from a low to mid socio-economic population in Delhi had GDM, with older age, higher BMI and pre-diabetes as important risk factors. These findings highlight the need for interventions for prevention and provision of appropriate management of GDM in antenatal programmes. Clinical trial registration Clinical Trial Registry – India, #CTRI/2017/06/008908 (http://ctri.nic.in/Clinicaltrials/pmaindet2.php?trialid=19339&EncHid=&userName=society%20for%20applied%20studies).


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Prakash Prabhakarrao Doke ◽  
Sonali Hemant Palkar ◽  
Jayashree Sachin Gothankar ◽  
Archana Vasantrao Patil ◽  
Amruta Paresh Chutke ◽  
...  

Abstract Background The preconception phase of women’s life cycle is critical but comparatively ignored. The presence of health risks is judged as hazardous to the wellbeing of women and their offspring. This study aimed to estimate the prevalence of various pregnancy outcomes and assess the association between certain risk factors and adverse outcomes. Methods As a part of a preconception care intervention project, a baseline survey was conducted in four blocks of Nashik District, India. In this population-based cross-sectional analytical study, we compared cases in the study group (randomly selected one tribal and one non-tribal block) with those of the control group (one tribal and one non-tribal block). A comparison was also made between the tribal and non-tribal blocks in each group. All women who had a pregnancy outcome in the preceding 12 months (01 April 2017 to 31 March 2018) were interviewed. Trained Accredited Social Health Activists conducted the survey under the direct supervision of Auxiliary Nurse Midwives and Medical Officers. Multivariate analysis was carried out to find the adjusted prevalence ratio of having a particular adverse outcome because of the prespecified potential risk factors. Results A total of 9307 women participated in the study. The prevalence of adverse pregnancy outcomes was as follows: abortion in 4.1%, stillbirth in 1.7%, preterm birth in 4.1%, low birth weight in 13.2%, and congenital physical defect in 2.8%. Prevalence of parental consanguinity, pre-existing maternal illness at conception, heavy work during the last six months of pregnancy, tobacco consumption, alcohol consumption, direct exposure to pesticides and domestic violence during pregnancy was 18.5, 2.2, 18.7, 5.6, 0.5, 2.3, and 0.8% respectively. Risk factors associated with abortion included pre-existing illness and heavy work in the last six months of the pregnancy. Consanguinity, tobacco consumption during pregnancy and pre-existing illness were identified as risk factors for stillbirth. Significant risk factors of low birth weight were heavy work in the last six months of pregnancy, pre-existing illness and residence in a tribal area. Conclusion There is a need to emphasize on maternal behaviour, including tobacco consumption, and heavy work during pregnancy, as well as on parental consanguinity and pre-existing maternal illnesses, in order to achieve the best possible pregnancy outcomes.


2021 ◽  
Author(s):  
Stuti Bahl ◽  
Neeta Dhabhai ◽  
Sunita Taneja ◽  
Pratima Mittal ◽  
Rupali Dewan ◽  
...  

Abstract Background: The burden of gestational diabetes mellitus (GDM) appears to be increasing in India and may be related to the double burden of malnutrition. The population-based incidence and risk factors of GDM, particularly in lower socio-economic populations, are not known. We conducted analyses on data from a population-based cohort of pregnant women in South Delhi, India, to determine the incidence of GDM, its risk factors and association with adverse pregnancy outcomes (stillbirth, preterm birth, large for gestational age babies) and need for caesarean section. Methods: We analyzed data from the intervention group of the Women and Infants Integrated Interventions for Growth Study (WINGS), an individually randomized factorial design trial. An oral glucose tolerance test (OGTT) was performed at the time of confirmation of pregnancy, and for those who had a normal test (≤140 mg), it was repeated at 24-28 and at 34-36 weeks. Logistic regression was performed to ascertain risk factors associated with GDM. Risk ratios (RR) were calculated to find association between GDM and adverse pregnancy outcomes and need for caesarean section. Results: 19.2% (95% CI: 17.6 to 20.9) pregnant women who had at least one OGTT were diagnosed to have GDM. Women who had prediabetes at the time of confirmation of pregnancy had a significantly higher risk of developing GDM (RR 2.08, 95%CI 1.45 to 2.97). Other risk factors independently associated with GDM were woman’s age (adjusted OR (AOR) 1.10, 95% CI 1.06 to 1.15) and BMI (AOR 1.04, 95% CI 1.01 to 1.07). Higher maternal height was found to be protective factor for GDM (AOR 0.98, 95% CI 0.96 to 1.00). Women with GDM, received appropriate treatment did not have an increase in adverse outcomes. However, GDM increased the need for caesarean section (RR 1.17, 95% CI 1.01 to 1.36).Conclusions: A substantial proportion of pregnant women from a low to mid socio-economic population in Delhi had GDM, with older age, higher BMI and pre-diabetes as important risk factors. These findings highlight the need for interventions for prevention and provision of appropriate management of GDM in antenatal programmes.Clinical Trial registration: Clinical Trial Registry – India, #CTRI/2017/06/008908 (http://ctri.nic.in/Clinicaltrials/pmaindet2.php?trialid=19339&EncHid=&userName=society%20for%20applied%20studies)


2021 ◽  
Author(s):  
Jing Lin ◽  
Hua Jin ◽  
Lei Chen

Abstract Background: This study aimed to explore the relationship between insulin resistance (IR) and adverse pregnancy outcomes in women with gestational diabetes mellitus (GDM), and to determine the risk factors for IR in women with GDM.Methods: This study employed a retrospective survey of 710 women diagnosed with GDM. Serum lipids, fasting plasma glucose (FPG), glycosylated hemoglobin (HbA1c), and serum protein were measured in the first trimester (6-12 weeks), and OGTT and fasting insulin tests were performed in the second trimester (24-28 weeks). These results were then used to evaluate IR by homeostasis model assessment (HOMA). When HOMA-IR≥2.0, IR was diagnosed. The relationship between HOMA-IR and adverse pregnancy outcomes was analyzed by a logistic regression model, and multiple stepwise regression was used to analyze the risk factors of HOMA-IR. Results: GDM with IR was significantly associated with the hypertensive disorders of pregnancy and large for gestational age (LGA) (P=0.002, 0.012, respectively). Body mass index (BMI) before pregnancy, FPG, HbA1c, and total triglyceride (TG) in early pregnancy were all significantly positively correlated with IR in the second trimester (P<0.05), while age was significantly negatively correlated with IR (P<0.001). Conclusion: GDM combined with IR in the second trimester increases adverse pregnancy outcomes, especially the risk of hypertensive disorders of pregnancy and LGA. In addition, BMI before pregnancy, FPG, HbA1c, and TG in early pregnancy are all independent risk factors for IR.


BMJ Open ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. e049075
Author(s):  
Dionne V Gootjes ◽  
Anke G Posthumus ◽  
Vincent W V Jaddoe ◽  
Eric A P Steegers

ObjectiveTo study the associations between neighbourhood deprivation and fetal growth, including growth in the first trimester, and adverse pregnancy outcomes.DesignProspective cohort study.SettingThe Netherlands, Rotterdam.Participants8617 live singleton births from the Generation R cohort study.ExpositionLiving in a deprived neighbourhood.Main outcome measuresFetal growth trajectories of head circumference, weight and length.Secondary outcomes measuresSmall-for-gestational age (SGA) and preterm birth (PTB).ResultsNeighbourhood deprivation was not associated with first trimester growth. However, a higher neighbourhood status score (less deprivation) was associated with increased fetal growth in the second and third trimesters (eg, estimated fetal weight; adjusted regression coefficient 0.04, 95% CI 0.02 to 0.06). Less deprivation was also associated with decreased odds of SGA (adjusted OR 0.91, 95% CI 0.86 to 0.97, p=0.01) and PTB (adjusted OR 0.89, 95% CI 0.82 to 0.96, p=0.01).ConclusionsWe found an association between neighbourhood deprivation and fetal growth in the second and third trimester pregnancy, but not with first trimester growth. Less neighbourhood deprivation is associated with lower odds of adverse pregnancy outcomes. The associations remained after adjustment for individual-level risk factors. This supports the hypothesis that living in a deprived neighbourhood acts as an independent risk factor for fetal growth and adverse pregnancy outcomes, above and beyond individual risk factors.


2021 ◽  
Author(s):  
Zhi-Hao Huang ◽  
Ting-Ting Peng ◽  
Sheng-Guang Yan ◽  
Dong-Dong Yu ◽  
Jun-Chao Qiu ◽  
...  

Abstract Objective: Aim to the relationship between adverse pregnant outcomes with chronic hepatitis B virus (HBV) infection in pregnant women. Simultaneously, assess the incidence of adverse pregnancy outcomes (APO) among different serum HBV status in pregnant women. Method: From 2017 to 2019, we studied HBsAg (+) pregnant women and HBsAg (-) who gave birth at our hospital in Guangzhou City, China. We compared of the incidence of pregnant women with HBsAg(+) or HBsAg(-). Further, among HBsAg(+) pregnant women, We compared of the incidence of pregnant women with HBeAg(+) group or HBeAg(-) group, high HBV DNA loads (HBV DNA≥2×10^5IU/mL) group or low HBV DNA loads (HBV DNA<2×10^5IU/mL) group, respectively. Finally, multivariate logistic regression analysis was used to evaluate the independent association between HBV infection and the risk of developing APO.Result: First, Our research Indicates that the rates of gestational diabetes mellitus (GDM), intrahepatic cholestasis of pregnancy (ICP), premature rupture of membrane (PROM), Fetal distress (FD), Oligohydramnios, Premature delivery (PD), Low birth weight (LBW), Meconium contamination (MC), Neonatal hyperbilirubinemia(NH) in HBsAg(+) group were higher than those in HBsAg(-) group (P<0.05). Second, among 711 HBsAg(+) pregnant women, the rates of GDM and ICP in high loads of HBV DNA were higher than those in low loads of HBV DNA group (P<0.05). Similarly, The rates of ICP in HBeAg(+) group were higher than those in HBeAg(-) group. Further, through multivariable logistical regression model analysis, we observed maternal HBsAg carrier (OR, 6.758; 95% CI, 2.358-19.369) had an independent risk for ICP. Similarly, HBsAg carrier(OR, 1.101; 95% CI, 1.066-1.137) ,advanced age (OR, 1.407; 95% CI,1.016-1.137) and abortion(OR,1.446; 95% CI, 1.062-1.969) had independent risk for GDM. Conclusions: Chronic HBV infection can increase the rate of host adverse pregnancy outcomes (APO). The maternal viral load and HBeAg status were significantly associated with the incidence of GDM and ICP. Maternal HBsAg carrier had an independent risk for GDM and ICP.


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