Air pollution has been related to incidence of type 2 diabetes (T2D). We assessed the joint association of various air pollutants with the risk of T2D and examined potential modification by obesity ...status and genetic susceptibility on the relationship.
A total of 449,006 participants from UK Biobank free of T2D at baseline were included. Of all the study population, 90.9% were white and 45.7% were male. The participants had a mean age of 56.6 (SD 8.1) years old and a mean body mass index (BMI) of 27.4 (SD 4.8) kg/m2. Ambient air pollutants, including particulate matter (PM) with diameters ≤2.5 μm (PM2.5), between 2.5 μm and 10 μm (PM2.5-10), nitrogen dioxide (NO2), and nitric oxide (NO) were measured. An air pollution score was created to assess the joint exposure to the 4 air pollutants. During a median of 11 years follow-up, we documented 18,239 incident T2D cases. The air pollution score was significantly associated with a higher risk of T2D. Compared to the lowest quintile of air pollution score, the hazard ratio (HR) (95% confidence interval CI) for T2D was 1.05 (0.99 to 1.10, p = 0.11), 1.06 (1.00 to 1.11, p = 0.051), 1.09 (1.03 to 1.15, p = 0.002), and 1.12 (1.06 to 1.19, p < 0.001) for the second to fifth quintile, respectively, after adjustment for sociodemographic characteristics, lifestyle factors, genetic factors, and other covariates. In addition, we found a significant interaction between the air pollution score and obesity status on the risk of T2D (p-interaction < 0.001). The observed association was more pronounced among overweight and obese participants than in the normal-weight people. Genetic risk score (GRS) for T2D or obesity did not modify the relationship between air pollution and risk of T2D. Key study limitations include unavailable data on other potential T2D-related air pollutants and single-time measurement on air pollutants.
We found that various air pollutants PM2.5, PM2.5-10, NO2, and NO, individually or jointly, were associated with an increased risk of T2D in the population. The stratified analyses indicate that such associations were more strongly associated with T2D risk among those with higher adiposity.
Cardiovascular disease may be the main reason for stagnant growth in life expectancy in the United States since 2010. The American Heart Association recently released an updated algorithm for ...evaluating cardiovascular health (CVH)-Life's Essential 8 (LE8) score. We aimed to quantify the associations of CVH levels, estimated by the LE8 score, with life expectancy in a nationally representative sample of US adults.
We included 23 003 nonpregnant, noninstitutionalized participants aged 20 to 79 years who participated in the National Health and Nutrition Examination Survey from 2005 to 2018 and whose mortality was identified through linkage to the National Death Index through December 31, 2019. The overall CVH was evaluated by the LE8 score (range, 0-100), as well as the score for each component of diet, physical activity, tobacco/nicotine exposure, sleep duration, body mass index, non-high-density lipoprotein cholesterol, blood glucose, and blood pressure. Life table method was used to estimate life expectancy by levels of the CVH.
During a median of 7.8 years of follow-up, 1359 total deaths occurred. The estimated life expectancy at age 50 years was 27.3 years (95% CI, 26.1-28.4), 32.9 years (95% CI, 32.3-33.4), and 36.2 years (95% CI, 34.2-38.2) in participants with low (LE8 score <50), moderate (50≤ LE8 score <80), and high (LE8 score ≥80) CVH, respectively. Equivalently, participants with high CVH had an average 8.9 (95% CI, 6.2-11.5) more years of life expectancy at age 50 years compared with those with low CVH. On average, 42.6% of the gained life expectancy at age 50 years from adhering to high CVH was attributable to reduced cardiovascular disease death. Similarly significant associations of CVH with life expectancy were observed in men and women, respectively. Similarly significant associations of CVH with life expectancy were observed in White participants and Black participants but not in Mexican participants.
Adhering to a high CVH, defined as the LE8 score, is related to a considerably increased life expectancy in US adults, but more research needs to be done in other races and ethnicities (eg, Hispanic and Asian).
Abstract
About 2.6 million third-trimester stillbirths occur annually worldwide, mostly in low- and middle-income countries. However, the causes of stillbirths are rarely investigated. We performed a ...retrospective, hospital-based study in Zhejiang Province, southern China, of the causes of third-trimester stillbirths. Causes of stillbirths were classified using the Relevant Condition at Death classification system. From January 1, 2013, to December 31, 2018, we enrolled 341 stillbirths (born to 338 women) from 111,275 perinatal fetuses (born to 107,142 women), as well as 293 control cases (born to 291 women). The total incidence of third-trimester stillbirths was 3.06/1000 (341/111,275). There were higher proportions of women with a high body mass index, twins, pregnancy-induced hypertension, assisted reproduction and other risk factors among the antepartum than the control cases. The antepartum stillbirth fetuses were of lower median birth weight and gestational age and had a smaller portion of translucent amniotic fluid than the control cases. The antepartum stillbirth fetuses had a higher frequency of abnormalities detected prenatally and of fetal growth restriction than the control cases. Of 341 cases (born to 338 mothers), the most common causes of stillbirth were fetal conditions 117 (34.3%) cases, umbilical cord 88 (25.8%), maternal conditions 34 (10.0%), placental conditions 31 (9.1%), and intrapartum 28 (8.2%). Only eight (2.3%), three (0.9%), and two (0.6%) stillbirths were attributed to amniotic fluid, trauma, and uterus, respectively. In 30 (8.8%) cases, the cause of death was unclassified. In conclusion, targeted investigation can ascertain the causes of most cases of third-trimester stillbirths.
At present, there is no consensus on the induction methods in term pregnancy with borderline oligohydramnios. This study aimed to compare the effectiveness and pregnancy outcomes of labor induction ...with dinoprostone or single-balloon catheter (SBC) in term nulliparous women with borderline oligohydramnios.
We conducted a retrospective cohort study from January 2016 to November 2018. During the study period, a total of 244 cases were enrolled. Of these, 103 cases were selected for induction using dinoprostone and 141 cases were selected for induction with SBC. The pregnancy outcomes between the two groups were compared. Primary outcomes were successful vaginal delivery rates. Secondary outcomes were maternal and neonatal adverse events. Multivariate logistic regression was used to assess the risk factors for vaginal delivery failure in the two groups.
The successful vaginal delivery rates were similar between the dinoprostone group and the SBC group (64.1% 66/103 vs. 59.6%, 84/141 P = 0.475), even after adjustment for potential confounding factors (adjusted odds ratio aOR: 1.07, 95% confidence interval CI: 0.57-2.00, P = 0.835). The incidence of intra-amniotic infection was lower in the dinoprostone group than in the SBC group (1.9% 2/103 vs. 7.8%, 11/141 P < 0.001), but the presence of non-reassuring fetal heart rate was higher in the dinoprostone group than in the SBC group (12.6% 13/103 vs. 0.7%, 1/141 P < 0.001). Multivariate logistic regression showed that nuchal cord was a risk factor for vaginal delivery failure after induction with dinoprostone (aOR: 6.71, 95% CI: 1.96-22.95). There were three factors related to vaginal delivery failure after induction with SBC, namely gestational age (aOR: 1.51, 95% CI: 1.07-2.14), body mass index (BMI) >30 kg/m2 (aOR: 2.98, 95% CI: 1.10-8.02), and fetal weight >3500 g (aOR: 2.49, 95% CI: 1.12-5.50).
Term nulliparous women with borderline oligohydramnios have similar successful vaginal delivery rates after induction with dinoprostone or SBC, with their advantages and disadvantages. In women with nuchal cord, the risk of vaginal delivery failure is increased if dinoprostone is used in the induction of labor. BMI >30 kg/m2, large gestational age, and estimated fetal weight >3500 g are risk factors for vaginal delivery failure after induction with SBC.
To investigate the impact of maternal second-trimester stress on pregnancy outcomes according to pre-pregnancy body mass index (BMI) and gestational weight gain (GWG).
We did a prospective study in ...Women's Hospital, School of Medicine, Zhejiang University and included 960 pregnant women in our final analysis. Obstetric characteristics and the incidence of adverse pregnancy outcomes were examined in stressed and non-stressed women. The associations between maternal prenatal stress with adverse pregnancy outcomes were analyzed by logistic regression.
The incidence of premature rupture of membranes (PROM) was significantly higher in stressed pregnant women than non-stressed pregnant women (
= 0.035), whereas no significant difference in the incidence rates of gestational diabetes mellitus (GDM), pregnancy-induced hypertension (PIH), primary cesarean delivery, preterm birth, macrosomia, low birth weight, fetal stress, admission into neonatal intensive care unit (NICU) or neonatal jaundice was found between two groups. Maternal second-trimester stress was an independent risk factor for the development of PROM (aOR = 1.468, 95% CI 1.037-2.079). Moreover, maternal second-trimester stress was significantly associated with PROM in pregnant women with normal pre-pregnancy BMI (aOR = 1.587, 95% CI 1.068-2.357) while no association was observed in either underweight or overweight and obese pregnant women. Meanwhile, no difference was found in the odds of PROM with maternal second-trimester stress in all GWG subgroups.
Maternal second-trimester stress is associated with a higher risk of PROM and it is significant in pregnant women with normal pre-pregnancy BMI. Therefore, interventions to reduce stress during second-trimester of pregnancy might be essential for lowering the prevalence of PROM in pregnant women with normal pre-pregnancy BMI.
The role of HbA1c in women with gestational diabetes mellitus (GDM) is still unclear, particularly in the Asian population.
To investigate the association between HbA1c levels and adverse outcomes ...considering maternal age, pre-pregnancy body mass index (BMI), and gestational weight gain (GWG) in women with GDM.
A retrospective study included 2048 women with GDM and singleton live births. Using logistic regression, the associations between HbA1c and adverse pregnancy outcomes were assessed.
Compared to women with HbA1c ≤ 5.0%, HbA1c was significantly associated with macrosomia (aOR 2.63,95%CI1.61,4.31), pregnancy-induced hypertension (PIH, aOR 2.56,95%CI1.57,4.19), preterm birth (aOR 1.64,95%CI 1.05,2.55), and primary Cesarean section (primary C-section, aOR1.49,95%CI1.09,2.03) in GDM women with HbA1c ≥5.5% while significantly associated with PIH (aOR 1.91,95%CI1.24,2.94) in women with HbA1c 5.1-5.4%. The associations between HbA1c and adverse outcomes varied with maternal age, pre-pregnancy BMI, and GWG. In women aged ≤29 years, there's significant association between HbA1c and primary C-section when HbA1c was 5.1-5.4% and ≥5.5%. In women aged 29-34 years and HbA1c ≥5.5%, HbA1c was significantly associated with macrosomia. In women aged ≥35 years, there's significant association between HbA1c and preterm birth when HbA1c was 5.1-5.4% and macrosomia and PIH when HbA1c ≥5.5%. In pre-pregnant normal-weight women, HbA1c was significantly associated with macrosomia, preterm birth, primary C-section, and PIH when HbA1c ≥5.5% while HbA1c was significantly associated with PIH when HbA1c was 5.1-5.4% . In pre-pregnant underweight women with HbA1c 5.1-5.4%, HbA1c was significantly associated with primary C-section. HbA1c was significantly associated with macrosomia among women with inadequate GWG or excess GWG and HbA1c≥5.5%. In women with adequate GWG, there's significant association between HbA1c and PIH when HbA1c was 5.1-5.4% and ≥5.5% .
Conclusively, HbA1c at the time of diagnosis is significantly associated with macrosomia, preterm birth, PIH, and primary C-section in Chinese women with GDM.
The gestational weight gain (GWG) and hyperglycemia are two key factors affecting adverse pregnancy outcomes among women with gestational diabetes mellitus (GDM). We aimed to investigate the ...combinatorial effect of abnormal glucose metabolism and GWG on adverse outcomes in GDM.
This retrospective cohort study included 2611 pregnant women with GDM in Women's Hospital School of Medicine Zhejiang University. Bases on the OGTT glucose levels, we categorized the GDM cohort into three subgroups: impaired fasting glucose (IFG) group, impaired glucose tolerance (IGT) group, and combined impaired glucose (IFG&IGT) group.
Among pregnant women with IGT, insufficient GWG (IGWG) was an independent protective factor for pregnancy-induced hypertension syndrome (PIH) (aOR 0.55, 95% CI 0.32-0.95), macrosomia (0.38, 0.19-0.74) and large for gestational age (0.45, 0.32-0.62), as well as an independent risk factor for low birth weight infants (2.29, 1.24-4.22) and small for gestational age (1.94, 1.17-3.19); and excessive GWG (EGWG) was related to increased risks of PIH (1.68, 1.12-2.52), preterm delivery (1.82, 1.28-2.58), postpartum hemorrhage (1.85, 1.05-3.28), cesarean delivery (1.84, 1.38-2.46) and low body weight infants (2.36, 1.33-4.20). Moreover, EGWG was positively associated with PIH (3.27, 1.09-9.80) in the IFG group. But there were no significant associations between either IGWG or EGWG and any pregnancy outcomes in women with combined IFG&IGT.
The relationships between GWG and adverse outcomes were modified by abnormal glucose metabolism in women with GDM. Our results suggest that more specific GWG recommendations according to their metabolic state are needed for GDM.
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