Cigarette smoking and gestational diabetes mellitus in Hispanic woman

Early trajectories of cigarette and ENDS use among young adult recent Latino immigrants to U.S

Background: Recent Latino immigrants (RLIs) to the U.S. have shown high smoking rates during their first year since arrival, raising concern about future escalation of tobacco use.Objective: To examine trajectories of cigarette and Electronic nicotine delivery systems (ENDS) use among RLIs from pre-immigration (T0) through their first (T1) and second (T2) year in the U.S.Methods: Data originated from a longitudinal study of 540 (50% females) RLIs aged 18-34. Inclusion criteria was residing in Miami/Dade County (MDC), and having immigrated from a Latin American country within the past year. Trajectories were identified by using the Proc Traj procedure (SAS©, v 9.4).Results: Rates of cigarette use per month declined from 11.8 days/month in T0 to 4.9 d/m in T2. Rates for ENDS use however, increased from T0 (1.1 d/m) to T1 (1.8 d/m) and then lowered back to 0.9 d/m in T2. Four separate cigarette and e-cigarette use trajectories were identified. Only one of them showed increase in cigarette (10.6% of RLIs), and ENDS use (4.5% of RLIs). Being male, and not completing high school were significant factors in explaining smoking trajectories. Being younger than 30 years old was largely associated with ENDS use. No evidence of a substitution effect between cigarette and ENDS use was found.Discussion/Conclusions: Interventions to discourage tobacco use among Latino immigrants should begin early in the immigration process, aimed to preserve initial reductions and dissuade those at risk of increased tobacco use overtime.

Hyperglycaemia in Pregnancy Is Less Frequent in Smokers: A French Observational Study of 15,801 Women

Background: We aimed to explore the still-debated association between smoking and hyperglycaemia in pregnancy (HIP). Methods: A multiethnic prospective study of 15,801 women who delivered at Jean Verdier University Hospital between 2012 and 2018. Of these, 13,943 (88.2%) were non-smokers, 624 (4.5%) former smokers, and 1234 (7.8%) current smokers. Universal HIP screening was proposed to the entire sample (IADPSG/WHO criteria). Results: A total of 13,958 women were screened for HIP. Uptake differed between non-smokers, former smokers, and current smokers (89.5%, 88.3%, and 75.7%, respectively, p < 0.0001). HIP prevalence in these groups was 19.9%, 15.4%, and 12.3%, respectively (p < 0.0001). After adjusting for age, body mass index, family history of diabetes, history of HIP, history of macrosomic baby, and ethnicity, current (odds ratio 0.790 [95% confidence interval 0.636-0.981], p < 0.05) but not former (1.017 [0.792-1.306]) smokers were less likely to have HIP than non-smokers. Furthermore, 1 h and 2 h oral plasma glucose test values were lower in current smokers than in non-smokers (p < 0.01). To exclude potential selection bias, we compared risk factors for HIP and HIP-related adverse pregnancy outcomes in current smokers according to HIP screening status. Compared with screened current smokers (n = 934), their unscreened counterparts (n = 300) were younger, less frequently employed, and more likely to be of non-European origin. Moreover, infant birthweight was lower in this group, and preterm deliveries and perinatal deaths were more likely (all p < 0.01). Conclusions: Smoking during pregnancy was independently associated with lower HIP prevalence. The low HIP screening rate in current smokers did not explain this finding.

Environmental tobacco smoke increased risk of gestational diabetes mellitus: A birth cohort study in Sichuan, China

INTRODUCTION

Studies on the relationship between environmental tobacco smoke (ETS) and gestational diabetes mellitus (GDM) are limited. In this study, we aimed to clarify the association between ETS at different trimesters of pregnancy and the risk of GDM among non-smoking pregnant women.

METHODS

A total of 16,893 non-smoking mothers from the Southwest Birth Cohort, China, were included in the final analyses. Exposure and outcome measures included self-reported ETS status at different trimesters of pregnancy and GDM diagnosis. Multivariable logistic regression models were constructed to estimate the association between ETS and GDM.

RESULTS

The prevalence of ETS exposure was 25.7%. Compared with no ETS, ever ETS had an increased risk of GDM, with an adjusted odds ratio (95% confidence intervals) of 1.21 (1.09, 1.33). The association remained consistent at different trimesters of pregnancy ETS exposure. In the last trimester and with continuous ETS exposure, the risk of GDM increased significantly with the increase in the duration of the exposure. The risk of GDM associated with ever ETS during pregnancy significantly increased in mothers over 30 years old and pre-pregnancy overweight (P for interaction <0.05).

CONCLUSIONS

ETS exposure at different trimesters of pregnancy was associated with an increased risk of GDM among non-smoking pregnant women. These findings emphasise the importance of preventing ETS exposure during pregnancy.

Smoking during pregnancy and gestational diabetes mellitus: a systematic review and meta-analysis

PURPOSE

To investigate whether maternal cigarette smoking during pregnancy is a risk factor for developing GDM.

METHODS

MEDLINE, Scopus, CENTRAL and Google Scholar databases were searched from inception to December 2022 to identify eligible original articles. A systematic review and meta-analysis (weighted data, random-effects model) were performed. The primary outcome was the development of GDM in pregnant women. The results were expressed as odds ratios (OR) with 95% confidence interval (CI) (inverse variance method). Subgroup analysis was planned according to the maternal smoking status and GDM diagnostic criteria. Statistical heterogeneity was checked with the Chi-squared (Chi2) test and the I2 index was used to quantify it. The studies were evaluated for publication bias.

RESULTS

Thirty-five studies, including 23,849,696 pregnant women, met the inclusion criteria. The pooled OR of smoking during pregnancy compared with non-smoking (never smokers and former smokers) was 1.06 (95% CI 0.95-1.19), p = 0.30; I2 = 90%; Chi2 = 344; df=34; p < 0.001. Subgroup analysis was performed according to the two-step Carpenter-Coustan diagnostic criteria, due to the high heterogeneity among the other applied methods. The pooled OR for the Carpenter-Coustan subgroup was 1.19 (95% CI 0.95-1.49), p = 0.12; I2 = 63%; Chi2 = 27; df=10; p < 0.002. Further subgroup analysis according to maternal smoking status was not performed due to missing data.

CONCLUSION

There is no evidence to support an association between maternal cigarette smoking during pregnancy and the risk for GDM. Universally accepted diagnostic criteria for GDM must be adopted to reduce heterogeneity and clarify the association between smoking and GDM.

Racial disparity in gestational diabetes mellitus and the association with sleep-disordered breathing and smoking cigarettes: a cross-sectional study

BACKGROUND

Gestational diabetes mellitus (GDM) prevalence has risen in the U.S. and worldwide over the past decade. Minority groups, especially Asian and Hispanic women, are often disproportionately affected by GDM. Identifying modifiable risk factors such as sleep-disordered breathing and smoking and their interaction with race/ethnicity could play a pivotal role in preventing GDM.

METHODS

Data from the 2017-2018 National Health and Nutrition Examination Surveys (NHANES) were used to run a survey-weighted multivariable logistic regression assessing the association between sleep-disordered breathing and smoking with GDM among women aged 15-60 (n = 1326). The interaction term of the two predictors and race/ethnicity was introduced to the model to assess the interaction effect. The analyses were adjusted for age, marital status, education level, and BMI.

RESULTS

Approximately 13% of the participants reported having GDM. The lowest prevalence was observed among Non-Hispanic Blacks (7.8%) and the highest was among Other (15.5%). Sleep-disordered breathing was significantly associated with GDM (OR = 1.69, 95% CI 1.05, 2.73). No statistically significant association was observed between smoking and GDM (OR = 1.03, 95% CI 0.47, 2.27), and neither was the association between race/ethnicity and GDM. Furthermore, none of the interaction effects were statistically significant.

CONCLUSION

Preventive strategies targeting GDM should focus on improving modifiable risk factors, such as sleep-disordered breathing. It is important to screen women with sleep-disordered breathing and monitor their blood sugar before becoming pregnant to prevent the development of GDM. Future studies are recommended to understand the lower prevalence of GDM among Black women and the higher prevalence among "Other" race group which mostly includes Asian women.

Analysis of risk factors related to gestational diabetes mellitus

OBJECTIVE

With the rapid rising prevalence, gestational diabetes mellitus (GDM) has become one of the leading causes of maternal and child mortality and morbidity worldwide. The present study aimed to analyze GDM-related risk factors for early intervention.

MATERIALS AND METHODS

From January to June 2018, a total of 250 pregnant women from Chengdu Second People's Hospital were enrolled in the study. According to the diagnostic criteria for GDM, they were assigned into GDM group (n = 48) and non-GDM group (n = 202). The clinical data and biochemical indicators were compared between GDM group and non-GDM group, and Logistic regression analysis was performed to analyze the risk factors of GDM.

RESULTS

GDM group was significantly higher than non-GDM group in the age, pregnancy times, pre-pregnancy body mass index (BMI), low-density lipoprotein cholesterol (LDL-C) level, history of diabetes mellitus in first-degree relatives, incidence of subclinical hypothyroidism (SCH) and the positive rate of thyroid peroxidase antibody (TPOAb) (P < 0.05), whereas was conspicuously lower than non-GDM group in the education level above junior college (P < 0.05). The results of Logistic regression analysis revealed that the age [odds ratios (OR) = 1.125, 95% confidential interval (CI) = 1.019-1.241, P = 0.020], pre-pregnancy BMI (OR = 1.280, 95%CI = 1.118-1.466, P < 0.001), history of diabetes mellitus in first-degree relatives (OR = 4.938, 95%CI = 1.418-17.196, P = 0.012) and TPOAb (+) (OR = 4.849, 95%CI = 1.742-13.501, P = 0.003) were the risk factors of GDM.

CONCLUSIONS

Advanced age, pre-pregnancy BMI overweight, history of diabetes mellitus in first-degree relatives and TPOAb (+) are associated with an increased risk of GDM.

The relationship between gestational active and passive smoking and early postpartum complications

Objective: The studies especially on the postpartum effects of passive exposure to cigarette smoke are limited, although there are studies investigating early and late postpartum effects of active smoking during pregnancy. This study aimed to investigate the relationship between gestational active and passive smoking and early postpartum complications.Methods: This study was conducted with 217 women in the early postpartum period (first 7 days after birth) in a research hospital, gynecology and obstetrics clinic. Data were collected using the questionnaire form prepared in accordance with the literature by the face-to-face interview method. They were evaluated in the SPSS 23.0 program, and descriptive statistics, logistic regression analysis in multivariate analyses and multiple linear regression analysis were in the analysis of data.Results: In the study, it was found that active smoking was associated with cardiac anomalies (OR = 0.18, 95% = CI 0.03-0.91; p = .039), developmental retardation (OR = 0.11, 95% CI = 0.02-0.56; p = .008), respiratory distress (OR = 0.12, 95% CI = 0.02-0.58; p = .008), low birth weight (OR = 0.22, 95% CI = 0.08-0.57; p = .003) and premature labor (OR = 0.30, 95% CI = 0.16-0.59; p = .000) while passive smoking was associated with premature labor (OR = 0.47, 95% CI = 0.25-0.89; p = .021). It was determined that passive smoking was associated with gestational hypertension (OR 0.30, 95% CI = 0.09-0.85; p = .025). Nevertheless, it was found that active smoking negatively affected the infant's birth weight (p = .000), length (p = .040), head circumference (p = .000) and breastfeeding (p = .005).Conclusion: Gestational active and passive smoking has significant negative effects on maternal and infant health in the early postpartum period.

The effect of smoking on the risk of gestational diabetes mellitus and the OGTT profile during pregnancy

OBJECTIVE

To analyze the relationship between smoking and the risk of GDM, as well as with the OGTT profile during pregnancy.

PATIENTS AND METHODS

A total of 7437 pregnant women were studied. OGTT was performed at the 3rd trimester. Women were categorized as non-smokers (A), as those who ceased smoking at pregnancy (B), and as smokers (C).

RESULTS

5434 (73.1%) women were group A, 1191 (16%) group B and 812 (10.9%) group C. The rates of GDM among the groups were: A 33.7%, B 34.2%, C 34.2% (ns). However, the number of individuals requiring insulin treatment was significantly different: A 39.2%, B 47.5%, C 50.6% (p < 0.001). Regarding OGTT, fasting glucose levels were significantly higher in group C (89 ± 13 vs 86 ± 12 mg/dl) compared to A, whereas 3-h glucose values were significantly lower (104 ± 33 vs 112 ± 32 mg/dl) (p < 0.001). Group B demonstrated intermediate glucose concentrations. Similar findings were observed in women without GDM. In women with GDM, higher 1-h glucose levels were measured in group C (210 ± 31 vs 205 ± 28 mg/dl) compared with A (p = 0.024). Further, group C sub-analysis found that those who smoked more than 10 cigarettes showed significantly lower 3-h glucose levels (111 ± 31 vs 128 ± 40 mg/dl) compared to those who smoked less than 10 (p = 0.006). HbA1c in women with GDM was higher in group C (4.6 ± 0.6 vs 4.5 ± 0.6%) compared with A (p = 0.027).

CONCLUSIONS

The present study did not show any correlation between smoking and GDM risk. However, OGTT profile and HbA1c differed according to smoking status in women with and without GDM.

Trends and predictors of gestational diabetes mellitus in Chile

OBJECTIVE

To examine the temporal trends in gestational diabetes mellitus (GDM) prevalence in Chile, and to determine the main predictors of GDM.

METHODS

A secondary analysis was conducted of all birth records at Hospital Dr. Sótero del Río, Chile, from January 1, 2002, to December 31, 2015. We excluded those women with pre-existing type 2 diabetes, those with missing data, and those with unlikely data. GDM was defined as fasting glucose levels >5.55 mmol/L [>100 mg/dL] or >7.77 mmol/L [>140 mg/dL] 2 hours after glucose load in the oral glucose tolerance test. Potential predictors were selected based on prior research and ease of evaluation.

RESULTS

From the original database of 100 758 records, 86 362 women were included in the final cohort. The mean GDM prevalence was 7.6% (95% CI [confidence interval] 7.5%-7.8%), increasing from 4.4% (95% CI 4.0%-4.9%) in 2002 to 13.0% (95% CI 12.0%-13.9%) in 2015. Age, education, marital status, parity, family history of type 2 diabetes, personal history of GDM, hypertension and pre-eclampsia, alcohol consumption, smoking, and pre-gestational nutritional status performed well in the prediction of GDM.

CONCLUSION

One out of eight Chilean pregnant women of medium- to low socio-economic status were found to develop GDM. We identified a set of easy-to-capture predictors in the primary health care system that may allow for the early identification of women at high-risk for the development of GDM.

Association between cigarette smoking during pregnancy and gestational diabetes mellitus: a meta-analysis

Aims: Several studies have been carried out to examine the association between cigarette smoking during pregnancy and risk of developing gestational diabetes mellitus (GDM), yet the findings are mixed. Therefore, we aimed to estimate the relationship between cigarette smoking during pregnancy and GDM risk.Material and methods: PubMed, ScienceDirect, and Cochrane Library databases were searched up to December 2017. Studies on cigarette smoking during pregnancy and GDM were retrieved. The pooled odds ratios (ORs) and their 95% confidence intervals (CIs) for highest versus lowest level of cigarette smoking were calculated using a random-effects model.Results: Compared to nonsmoking, the pooled ORs of cigarette smoking during pregnancy were 0.98 (95% CI: 0.88-1.10) for GDM. Specifically, the pooled ORs of light smoking and heavy smoking during pregnancy for GDM were 1.10 (95% CI: 0.97-1.25) and 1.02 (95% CI: 0.67-1.53), respectively.Conclusions: Our findings suggest that there is no significant association between cigarette smoking during pregnancy and risk of GDM.

Socioeconomic, environmental and lifestyle factors associated with gestational diabetes mellitus: A matched case-control study in Beijing, China

Gestational diabetes mellitus (GDM) is a common health problem during pregnancy and its prevalence is increasing globally, especially in China. The aim of this study was to investigate socioeconomic, environmental and lifestyle factors associated with GDM in Chinese women. A matched pair case-control study was conducted with 276 GDM women and 276 non-GDM women in two hospitals in Beijing, China. Matched factors include age and pre-pregnancy body mass index (BMI). GDM subjects were defined based on the International Association of Diabetes Study Group criteria for GDM. A conditional logistic regression model with backward stepwise selection was performed to predict the odds ratio (OR) for associated factors of GDM. The analyses of data show that passive smoking at home (OR = 1.52, p = 0.027), passive smoking in the workplace (OR = 1.71, p = 0.01), and family history of diabetes in first degree relatives (OR = 3.07, p = 0.004), were significant factors associated with GDM in Chinese women. These findings may be utilized as suggestions to decrease the incidence of GDM in Chinese women by improving the national tobacco control policy and introducing public health interventions to focus on the social environment of pregnant women in China.

Abuse in Childhood or Adolescence and Gestational Diabetes: A Retrospective Cohort Study

INTRODUCTION

Early life abuse has been linked to later Type 2 diabetes, but its association with gestational diabetes has not been examined. The aim of this study was to examine the association between childhood and adolescent abuse victimization and risk of gestational diabetes in the Nurses' Health Study II.

METHODS

Participants were asked about experiences of physical and sexual abuse in childhood or adolescence in 2001 and about history of pregnancy complications in 2009. Mothers of singleton live births who provided information on their abuse history comprised the study sample. Modified Poisson regression was used to estimate risk ratios and 95% CIs for gestational diabetes as a function of physical and sexual abuse victimization. Analyses were conducted in 2014-2015.

RESULTS

Of 45,550 women in the analysis, 8% reported severe physical abuse and 11% reported forced sexual activity in childhood or adolescence. Approximately 3% (n=3,181) of pregnancies were complicated by gestational diabetes. In adjusted models, severe physical abuse was associated with a 42% greater gestational diabetes risk (risk ratio=1.42, 95% CI=1.21, 1.66) relative to no physical abuse. Forced sexual activity was associated with a 30% greater risk (95% CI=1.14, 1.49). Women with histories of both physical and sexual abuse were at higher risk than women exposed to a single type of abuse. These associations were not explained by overweight status in early adulthood or prior to pregnancy.

CONCLUSIONS

Childhood and adolescent victimization is associated with increased risk of gestational diabetes in adult women.