Background: The association between body mass index (BMI) and oesophageal cancer (OC) has been consistently negative among Asians, whereas different associations based on histological OC subtypes have been observed in Europeans and North Americans. We examined the association between BMI and OC mortality in the Asia Cohort Consortium.
Methods: We performed a pooled analysis to evaluate the association between BMI and OC mortality among 842 630 Asians from 18 cohort studies. Cox regression models were used to estimate hazard ratios (HRs) and 95% CIs.
Results: A wide J-shaped association between BMI and overall OC mortality was observed. The OC mortality risk was increased for underweight (BMI <18.5 kg/m2: HR = 2.20, 95% CI 1.80-2.70) and extreme obesity (BMI ≥35 kg/m2: HR = 4.38, 95% CI 2.25-8.52) relative to the reference BMI (23-25 kg/m2). This association pattern was confirmed by several alternative analyses based on OC incidence and meta-analysis. A similar wide J-shaped association was observed in oesophageal squamous cell carcinoma (OSCC). Smoking and alcohol synergistically increased the OC mortality risk in underweight participants (HR = 6.96, 95% CI 4.54-10.67) relative to that in reference BMI participants not exposed to smoking and alcohol.
Conclusion: Extreme obesity and being underweight were associated with an OC mortality risk among Asians. OC mortality and BMI formed a wide J-shaped association mirrored by OSCC mortality. Although the effect of BMI on OSCC and oesophageal adenocarcinoma mortality can be different in Asians, further research based on a large case-control study is recommended.
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http://dx.doi.org/10.1093/ije/dyac023 | DOI Listing |
Diabet Med
December 2024
Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Aims: We explored the prevalence of disordered eating behaviours (DEBs) and attitudes among older adults with type 1 diabetes (T1D) and associations with demographic and clinical variables.
Methods: Adults aged ≥65 years with T1D from a university-affiliated hospital system completed an electronic survey (September to November 2023) including the Diabetes Eating Problem Survey-Revised (DEPS-R). Clinical data were extracted from medical records.
Gut Microbes
December 2025
Hypertension Research Laboratory, School of Biological Sciences, Faculty of Science, Monash, Clayton, Australia.
The gut microbiota is a crucial link between diet and cardiovascular disease (CVD). Using fecal metaproteomics, a method that concurrently captures human gut and microbiome proteins, we determined the crosstalk between gut microbiome, diet, gut health, and CVD. Traditional CVD risk factors (age, BMI, sex, blood pressure) explained < 10% of the proteome variance.
View Article and Find Full Text PDFBMC Womens Health
December 2024
Department of Thyroid and Breast Surgery, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China.
Background: Central obesity and breast cancer (BC) have been identified as relevant by empirical research. The weight-adjusted-waist index (WWI) is a novel methodology for quantifying central obesity. Inspection of the association between WWI and BC in American adult women was the primary goal of the current investigation.
View Article and Find Full Text PDFJ Allergy Clin Immunol Pract
December 2024
Respiratory Institute, Cleveland Clinic, Cleveland, Ohio.
Background: Asthma, affecting approximately 13% of pregnancies worldwide, and gestational diabetes mellitus (GDM), present in about 14%, are both associated with adverse maternal and perinatal outcomes. This study aims to address a lack of current knowledge about how GDM affects asthma during pregnancy.
Objective: To determine whether GDM is associated with an increased risk of asthma exacerbations during pregnancy and the first year postpartum.
Am J Perinatol
December 2024
Department of Obstetrics, Gynecology and Reproductive Sciences, Yale School of Medicine, New Haven, Connecticut.
Objective: This study aimed to compare maternal characteristics and pregnancy outcomes between term patients evaluated for decreased fetal movement (DFM) who were delivered versus expectantly managed.
Study Design: Retrospective cohort study of term patients delivering within a large hospital system from 2015 to 2023 who were evaluated for DFM. Patients were classified into three groups based on the time between evaluation for DFM and delivery admission: (1) <24 hours, (2) 24-48 hours, (3) >48 hours.
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