Systematic review and meta-analysis on the association between seasonal variation and gestational diabetes mellitus

Khoshhali, Mehri; Ebrahimpour, Karim; Shoshtari-Yeganeh, Bahareh; Kelishadi, Roya

doi:10.1007/s11356-021-16230-1

Cited by 9 publications

(10 citation statements)

References 33 publications

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“…In our study, the overall incidence of GDM was 30.0%, which is much higher than the previous report in the same site (12.7%) [ 29 ], in mainland China (14.8%) [ 30 ] and worldwide (6.1 to 15.2%) [ 2 ]. One of the reason for this discrepancy may be the majority of the participants in our current study received OGTT in summer and autumn, which have been proven to be associated with higher chance of GDM diagnosis [ 31 ]. The high rate of GDM in our study might impact the extrapolation.…”

Section: Discussionmentioning

confidence: 99%

“…Although only conception season and EPDS scores were found to be different in the two groups in the supplementary analysis, there still might be other factors we did not consider, which could influence the results. Besides, previous studies indicated seasonality could influence both GDM and PND [ 31 , 40 ], thus the relationship between the two might be impacted. Third, in this study, we did not collect preconception EPDS and FPG data which may also impact the risk of both PND and GDM.…”

Section: Discussionmentioning

confidence: 99%

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A longitudinal cohort study of gestational diabetes mellitus and perinatal depression

Qiang

et al. 2022

BMC Pregnancy Childbirth

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Background The association between gestational diabetes mellitus (GDM) and perinatal depression (PND) remains controversial. Our study aimed to comprehensively assess this association in a longitudinal cohort study with repeated measurements of depression. Methods Our cohort study was nested in a pilot study of an implementation study aiming to screen and manage perinatal depression within the primary health system in China. Women were recruited in the first trimester from May–September 2019 and followed four times up to 1 year postpartum. Data on sociodemographic characteristics and depression were collected using self-developed questionnaires incorporating the Edinburgh Postnatal Depression Scale (EPDS). Oral glucose tolerance test at 24 ~ 28 weeks and fasting plasma glucose (FPG) data were extracted from medical records. Depression throughout the whole period was divided into different trajectories. Associations of GDM with PND at different time periods and PND of different trajectories were determined by logistic regression. The path of association between blood glucose and depression over time was estimated with an autoregressive cross-lagged model. Results In total, 1043 women were included in this analysis and 313 (30.0%) were diagnosed with GDM. The prevalence of depression in the first, second, and third trimesters and postpartum period were 17.2, 6.9, 6.8 and 9.0%, respectively. GDM was neither significantly associated with PND at any time point nor with any specific trajectory of depression. Except for autoregressive paths, no cross-lagged path of FPG and scores of EPDS was significant. Conclusions Our study indicates no association between GDM/blood glucose and PND.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

A longitudinal cohort study of gestational diabetes mellitus and perinatal depression

Qiang

et al. 2022

BMC Pregnancy Childbirth

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Section: Introductionmentioning

confidence: 97%

“…The environment has also been associated with GDM incidence, with positive associations with the warmer rather than the winter season, although this was less consistent when using actual measured temperature 19 . A systematic review and meta-analyses evidenced 11 studies, all conducted in temperate countries, with no evidence from tropical countries 19 . Nonetheless, undernutrition in the ‘hungry’ season, which coincides with the monsoon season when the previous year’s food crops become depleted before the current year’s harvest, has been associated with low birth weight and these infants grow up to have a higher risk of metabolic disease including diabetes 20 .…”

Section: Introductionmentioning

confidence: 97%

Risk factor-based screening compared to universal screening for gestational diabetes mellitus in marginalized Burman and Karen populations on the Thailand-Myanmar border: An observational cohort

Prüst¹,

Brummaier²,

Wah³

et al. 2022

Wellcome Open Res

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Background: Gestational diabetes mellitus (GDM) contributes significantly to maternal and neonatal morbidity, but data from marginalized populations remains scarce. This study aims to compare risk-factor-based screening to universal testing for GDM among migrants along the Thailand-Myanmar border. Methods: From the prospective cohort (September 2016, February 2019), 374 healthy pregnant women completed a 75g oral glucose tolerance test (OGTT) at 24-32 weeks gestation. Fasting, one hour and two hour cut-offs were based on Hyperglycaemia and Adverse Pregnancy Outcomes (HAPO trial) criteria and cases were treated. The sensitivity and specificity of risk-factor-based screening criteria was calculated using OGTT as the gold standard. Risk factors included at least one positive finding among 10 criteria, e.g., obesity (body mass index (BMI) ≥27.5kg/m2), 1st degree relative with diabetes etc. Adverse maternal and neonatal outcomes were compared by GDM status, and risk factors for GDM were explored. Results: GDM prevalence was 13.4% (50/374) (95% CI: 10.3-17.2). Risk-factors alone correctly identified 74.0% (37/50) OGTT positive cases: sensitivity 74.0% (59.7-85.4) and specificity 27.8% (3.0-33.0). Burman women accounted for 29.1% of the cohort population, but 38.0% of GDM cases. Percentiles for birthweight (p=0.004), head circumference (p=0.005), and weight-length ratio (p=0.010) were higher in newborns of GDM mothers compared with non-GDM, yet 21.7% (75/346) of newborns in the cohort were small-for-gestational age. In Burman women, overweight/obese BMI was associated with a significantly increased adjusted odds ratio 5.03 (95% CI: 1.43-17.64) for GDM compared to normal weight, whereas underweight and overweight/obese in Karen women were both associated with similarly elevated adjusted odds, approximately 2.4-fold (non-significant) for GDM. GDM diagnosis by OGTT was highest prior to peak rainfall. Conclusions: Risk-factor-based screening was not sufficiently sensitive or specific to be useful to diagnose GDM in this setting among a cohort of low-risk pregnant women. A two-step universal screening program has thus been implemented.

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“…There are well-known risk factors for GDM, including obesity, a high maternal age, and a family history of diabetes [ 5 , 6 ]. These, however, might not fully explain the seasonal variations in the prevalence of GDM [ 7 ]. Therefore, we targeted our attention on lifestyle or environment-related risk factors, such as PM2.5.…”

Section: Introductionmentioning

confidence: 99%

Causal Associations of PM2.5 and GDM: A Two-Sample Mendelian Randomization Study

Yang

Pang

et al. 2023

Toxics

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Epidemiological studies have linked particulate matter (PM2.5) to gestational diabetes mellitus (GDM). However, the causality of this association has not been established; Mendelian randomization was carried out using summary data from genome-wide association studies (GWAS). For the analysis of the causal relationship between PM2.5 and GDM, the inverse variance weighted (IVW) method was used. The exposure data came from a GWAS dataset of IEU analysis of the United Kingdom Biobank phenotypes consisting of 423,796 European participants. The FinnGen consortium provided the GDM data, which included 6033 cases and 123,000 controls. We also performed multivariate MR (MVMR), adjusting for body mass index (BMI) and smoking. As a result, we found that each standard deviation increase in PM2.5 is associated with a 73.6% increase in the risk of GDM (OR: 1.736; 95%CI: 1.226–2.457). Multivariable MR analysis showed that the effect of PM2.5 on GDM remained after accounting for BMI and smoking. Our results demonstrate a causal relationship between PM2.5 and GDM.

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Systematic review and meta-analysis on the association between seasonal variation and gestational diabetes mellitus

Cited by 9 publications

References 33 publications

A longitudinal cohort study of gestational diabetes mellitus and perinatal depression

A longitudinal cohort study of gestational diabetes mellitus and perinatal depression

Risk factor-based screening compared to universal screening for gestational diabetes mellitus in marginalized Burman and Karen populations on the Thailand-Myanmar border: An observational cohort

Causal Associations of PM2.5 and GDM: A Two-Sample Mendelian Randomization Study

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