Duration of obesity and overweight and risk of type 2 diabetes among US women.
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ABSTRACT:
SUBMITTER: Hu Y
PROVIDER: S-EPMC4180760 | biostudies-literature | 2014 Oct
REPOSITORIES: biostudies-literature
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Duration of obesity and overweight and risk of type 2 diabetes among US women.
Hu Yang Y Bhupathiraju Shilpa N SN de Koning Lawrence L Hu Frank B FB
Obesity (Silver Spring, Md.) 20140731 10
<h4>Objective</h4>The purpose of this study was to examine the association between duration of adiposity and risk of type 2 diabetes (T2D) in US women.<h4>Methods</h4>Nearly 61,821 participants were prospectively followed from the Nurses' Health Study (1984-2008) and 63,653 participants from Nurses' Health Study II (1991-2011). Participants were considered overweight (BMI 25-30 kg m(-2) ) or obese (BMI ≥ 30 kg m(-2) ) if their BMI was above the cutoffs for two successive assessments. The time-de ...[more]
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Project description:Associations between sleep duration and type 2 diabetes (T2D) risk markers in childhood have been little studied. We examined associations between self-reported sleep duration and T2D risk markers in children. Cross-sectional study of 4525 multiethnic UK children aged 9 to 10 years. Sleep time was calculated from self-reported usual time of going to bed and getting up on a school day, validated in a subset using accelerometers. Fasting blood samples provided levels of serum lipids and insulin, plasma glucose, and HbA1c. Physical measures included height, weight, bioimpedance, and blood pressure. Multilevel linear regression models of anthropometric, T2D, and cardiovascular risk markers with sleep duration were adjusted for sex, age, month, ethnicity, socioeconomic position, observer (physical measures only), and random effect of school. On average, children slept 10.5 hours per night (95% range 8.0-12.0 hours). There were strong inverse graded relationships between sleep duration, adiposity, and diabetes risk markers. In adjusted models, a 1-hour-longer sleep duration was associated with 0.19 lower BMI (95% confidence interval [CI] 0.09 to 0.28), 0.03 kg/m5 lower fat mass index (95% CI 0.00 to 0.05 kg/m5), 2.9% lower homeostasis model assessment insulin resistance (95% CI 1.2% to 4.4%), and 0.24% lower fasting glucose (95% CI 0.03% to 0.44%); there was no association with HbA1c or cardiovascular risk. Associations with insulin and glucose remained after an additional adjustment for adiposity markers. The finding of an inverse association between sleep duration and T2D risk markers in childhood is novel. Intervention studies are needed to establish the causality of these associations, which could provide a simple strategy for early T2D prevention.
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Project description:ObjectiveTo identify sleep duration trajectories from early to middle adulthood and their associations with incident type 2 diabetes.Research design and methodsUsing a group-based modeling approach, we identified sleep duration trajectories based on sleep duration in ages 20-25, 26-35, 36-45, and 46+ years, which were retrospectively assessed in 2009 among 60,068 women from the Nurses' Health Study II (median age 54.9 years) who were free of diabetes, cardiovascular disease, and cancer. We investigated the prospective associations between sleep duration trajectories and diabetes risk (2009-2017) using multivariable Cox proportional hazards models.ResultsWe documented 1,797 incident diabetes cases over a median follow-up of 7.8 years (442,437 person-years). Six sleep duration trajectories were identified: persistent 5-, 6-, 7-, or 8-h sleep duration and increased or decreased sleep duration. After multivariable adjustment for diabetes risk factors, compared with the persistent 7-h sleep duration group, the hazard ratio was 1.43 (95% CI 1.10, 1.84) for the 5-h group, 1.17 (1.04, 1.33) for the 6-h group, 0.96 (0.84, 1.10) for the 8-h group, 1.33 (1.09, 1.61) for the increased sleep duration group, and 1.32 (1.10, 1.59) for the decreased sleep duration group. Additional adjustment for time-updated comorbidities and BMI attenuated these associations, although a significantly higher risk remained in the decreased sleep duration group (1.24 [1.03, 1.50]).ConclusionsPersistent short sleep duration or changes in sleep duration from early to middle adulthood were associated with higher risk of type 2 diabetes in later life. These associations were weaker after obesity and metabolic comorbidities were accounted for.
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Project description:Lymphocyte and breast tissue samples from overweight woman at increased risk of breast cancer before and after 1 month of intermittant energy restriction Introduction Observational studies indicate that weight loss and energy restriction reduce breast cancer risk. Intermittent energy restriction (IER) reduces weight as well as, or more than continuous energy restriction (CER), but its effect on the breast and systemic metabolism as indicators of breast cancer risk are not known. Methods We assessed the effect of IER ( 2 days of 65% energy restriction) for one menstrual cycle on the breast (breast gene expression and fat cell size) and systemic metabolism (insulin resistance, lipids, serum and urine metabolites) in 23 overweight premenopausal women at high risk of breast cancer. Unsupervised hierarchical analysis selected 100 genes with the highest variance between pre and post IER biopsies in 20 subjects, whilst mass spectrometry was used to assess corresponding changes in serum (LCMS) and urine metabolites (GCMS) in 23 subjects in the restricted and unrestricted days of the IER. Results Women lost on average 4.8% (± 2.0) of body weight and 8.0% (± 5.0) of body fat. Insulin resistance (HOMA) was reduced by 29.8% (±17.8) on the restricted days and by 11%(±34) on the unrestricted days of the IER. Over 250 serum and urine metabolites significantly increased or decreased during the two restricted days and most returned to normal after the subsequent five day period . In the breast tissue, approximately half (In 11) of the subjects displayed down regulation of several metabolic pathways including lipid synthesis, growth factors and hormones, whilst epithelial genes including milk proteins, secretoglobulins and mucins were up-regulated and several metabolic pathways down-regulated including lipid synthesis, growth factors and hormones. In the other nine subjects there was no appreciable effect of IER on the breast. CorrespondingThe gene changes were not seen in peripheral blood lymphocytes, and there was no reduction in breast fat cell size. The two groups defined by change in gene expression or lack of it did not differ in the degree of weight or fat loss, other systemic metabolic markers, or histological assessment of the biopsies. Conclusion We conclude that breasts vary in response to short-term IER, the mechanism of which requires further investigation. Trial registration ISRCTN77916487
2016-07-13 | GSE66161 | GEO
Project description:BackgroundWomen with overweight and obesity are at higher risk of developing complications in pregnancy such as gestational diabetes and longer-term chronic conditions. Research concerning health behavior change interventions during pregnancy and postpartum shows promising effects, but implementation into routine services is sparsely investigated. Most interventions focus on the antenatal or postpartum life stages, failing to meet the needs of women. IMPACT DIABETES Bump2Baby is a multicenter project across 4 high-income countries developed to test the implementation of an antenatal and postpartum evidence-based mobile health (mHealth) coaching intervention called Bump2Baby and Me (B2B&Me) designed to sit alongside usual care in the perinatal period.ObjectiveWe aim to explore the feasibility and implementation of the B2B&Me intervention and investigate the effectiveness of this intervention in women at risk of gestational diabetes.MethodsIMPACT DIABETES Bump2Baby is a hybrid type 2 effectiveness-implementation study, which integrates an evidence-based mHealth coaching app that includes personalized health behavior change coaching provided by health care professionals alongside antenatal care from the first antenatal visit to 12 months postpartum. The mHealth app offers the possibility of synchronous calls, asynchronous contact (including coach-participant text and video messaging exchanges tailored to the participant's needs), and ongoing access to an extensive library of bespoke intervention materials. Participants will interact asynchronously with their health coach throughout the intervention via the app. This randomized controlled trial across 4 clinical sites within Ireland, the United Kingdom, Spain, and Australia will recruit 800 women in early pregnancy to evaluate the effectiveness on postpartum weight. The Exploration, Preparation, Implementation, and Sustainment implementation framework is the theoretical underpinning of the study. The implementation evaluation will be assessed at the individual, hospital staff, and broader community levels using the Reach, Effectiveness, Adoption, Implementation, Maintenance (RE-AIM) framework. Data sources for the RE-AIM evaluation will include app and platform analytics, screening and training records, participant medical records, key informant interviews, participant and partner exit interviews, cost data, study questionnaires, staff surveys, and blood sample analyses.ResultsThe study was approved and registered with the Australian New Zealand Clinical Trials Registry on November 19, 2020. Recruitment commenced on February 9, 2021, and data collection is ongoing. Publication of the results is expected in 2024.ConclusionsThis is the first hybrid effectiveness-implementation study of an 18-month mHealth coaching intervention in at-risk women that we are aware of. As research aims to move toward real-world implementable solutions, it is critical that hybrid studies are conducted. The data from this large multicenter study will be useful in planning the potential implementation and scale-up of evidence-based perinatal health behavior change interventions.Trial registrationAustralian New Zealand Clinical Trials Registry ACTRN12620001240932; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=380020&isReview=true.International registered report identifier (irrid)DERR1-10.2196/51431.
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Project description:ImportanceWith the increase in prediabetes among adolescents with overweight and obesity, identifying those at highest risk for type 2 diabetes (T2D) can support prevention strategies.ObjectiveTo assess T2D risk by hemoglobin A1c (HbA1c) levels among adolescents with overweight and obesity.Design, setting, and participantsThis retrospective cohort study was conducted using data for January 1, 2010, to December 31, 2019, from a large California health care system. The study population comprised adolescents aged 10 to 17 years who had a body mass index (BMI; calculated as weight in kilograms divided by height in meters squared) at or above the 85th percentile, had HbA1c measured during 2010 to 2018, and did not have preexisting diabetes. Data abstraction and analyses were conducted from January 1, 2020, to November 16, 2023.ExposuresBaseline HbA1c, with covariates including BMI category (overweight: 85th to <95th percentile; moderate obesity: 100% to <120% of 95th percentile; or severe obesity: ≥120% of 95th percentile), age, sex, race and ethnicity, and Neighborhood Deprivation Index score.Main outcomes and measuresThe main outcome was incident T2D during follow-up through 2019, including cumulative incidence and multivariable hazard ratios (HRs) with 95% CIs using Cox proportional hazard regression analyses.ResultsThis study included 74 552 adolescents with a mean (SD) age of 13.4 (2.3) years. More than half (50.6%) were female; 26.9% of individuals had overweight, 42.3% had moderate obesity, and 30.8% had severe obesity. Individuals identified as Asian or Pacific Islander (17.6%), Black (11.1%), Hispanic (43.6%), White (21.6%), and other or unknown race or ethnicity (6.1%). During follow-up, 698 adolescents (0.9%) developed diabetes, and 626 (89.7%) had T2D; 72 individuals (10.3%) who had type 1, secondary, or other diabetes were censored. The overall T2D incidence was 2.1 (95% CI, 1.9-2.3) per 1000 person-years, with a 5-year cumulative incidence of 1.0% (95% CI, 0.9%-1.1%). Higher baseline HbA1c (from <5.5% to 5.5%-5.6%, 5.7%-5.8%, 5.9%-6.0%, 6.1%-6.2%, and 6.3-6.4%) was associated with higher 5-year cumulative T2D incidence (from 0.3% [95% CI, 0.2%-0.4%] to 0.5% [0.4%-0.7%], 1.1% [0.8%-1.3%], 3.8% [3.2%-4.7%], 11.0% [8.9%-13.7%], and 28.5% [21.9%-36.5%], respectively). In addition, higher baseline HbA1c was associated with greater T2D risk (reference [HbA1c <5.5%]: HR, 1.7 [95% CI, 1.3-2.2], 2.8 [2.1-3.6], 9.3 [7.2-12.1], 23.3 [17.4-31.3], and 71.9 [51.1-101.1], respectively). Higher BMI category, older age, female sex, and Asian or Pacific Islander race (HR, 1.7 [95% CI, 1.3-2.2]), but not Black race or Hispanic ethnicity (compared with White race), were also independent indicators of T2D. In stratified analyses, incremental risk associated with higher HbA1c was greater for Asian or Pacific Islander and White adolescents than for Black and Hispanic adolescents.Conclusions and relevanceIn this cohort study of adolescents with overweight and obesity, T2D risk increased substantially with baseline HbA1c above 6.0%. Risk varied by BMI, age, sex, and race and ethnicity. These findings suggest that diabetes surveillance in adolescents should be tailored to optimize identification among high-risk subgroups.
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Project description:BackgroundThe increased metabolic activity required to sustain breastfeeding and its associated milk production helps to reduce maternal fat stores accumulated during pregnancy. This study aims to assess the association between breastfeeding duration and fatness indices in middle-aged women.MethodsThe analysis was carried out in a group of 7500 parous 55.5 ± 5.3 year old women included body mass index, body fat percentage, and waist-to-height ratio. The likelihood of excessive weight or obesity in relation to total breastfeeding time using multivariate logistic regression analyses.ResultsAn analysis of adjusted odds ratios did not show significant associations between breastfeeding duration and the risk of excessive weight and obesity in premenopausal women. After menopause, women who gave birth to 2 children and breastfed 1-6 and > 12 months had a lower risk of abdominal obesity (OR 0.70; 95% CI 0.50-0.99; p = 0.042; and OR 0.68; 95% CI 0.47-0.98; p = 0.039). Women who gave birth to 3 or more children and breastfed for 1-6 months, also showed a lower risk of overweight (OR 0.52; 95% CI 0.27-0.99; p = 0.047), compared to those ones that have never breastfed. There was no relationship found between the duration of lactation and the risk of excessive body fat.ConclusionBreastfeeding may have some beneficial, long-term effect on the risk of excessive weight and abdominal obesity in women.
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Project description:The variations in perilipin gene (PLIN) were previously associated with obesity and insulin sensitivity. We examined whether PLIN variability was associated with diabetes risk and obesity status modified such associations.We conducted a nested case-control study of 431 incident cases of type 2 diabetes and 791 healthy control women from the Nurses' Health Study. Obesity was defined by BMI or waist circumference (central obesity).In the sample of all participants, PLIN variations were not significantly associated with the incidence of diabetes. The central obesity status (by National Cholesterol Education Program Adult Treatment Panel III definition of waist circumference>35 inches) significantly interacted with PLIN polymorphisms in relation to diabetes risk (P for interaction=0.027, 0.009, and 0.02 for rs2289487, rs8179043, and rs894160, respectively). In nonobese (central) women, carriers of rs2289487, rs8179043, and rs894160 had significantly greater risk of type 2 diabetes, adjusting for diabetes risk factors (odds ratio (OR)=1.52, 1.03-2.25; 1.54, 1.07-2.23; and 1.57, 1.09-2.27, respectively). Haplotypes possessing the three polymorphisms were also significantly associated with diabetes risk (global test, P=0.01). As compared with the most common haplotype 111, haplotype 222 and 211 (1 codes the common and 2 codes the minor alleles) were associated with 44% (OR=1.44, 95% confidence interval (CI) 1.09-1.91; P=0.01) and 70% (OR=1.70, 95% CI 1.04-2.77; P=0.03) greater risk, respectively. The PLIN variations were not significantly associated with the disease risk among women with central obesity.Our data indicate that central obesity may modify the associations between PLIN variations and diabetes risk in women.
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