Abstract 07: Associations of Weight Gain From Early to Middle Adulthood With Major Health Outcomes in Later Life

Circulation ◽  
2017 ◽  
Vol 135 (suppl_1) ◽  
Author(s):  
Yan Zheng ◽  
JoAnn Manson ◽  
Changzheng Yuan ◽  
Matthew Liang ◽  
Francine Grodstein ◽  
...  

Background: The association of weight gain from early to middle adulthood with a wide range of health outcomes later in life has not been systematically examined. Methods: We included 93,873 women from the Nurses’ Health Study and 25,374 men from the Health Professionals Follow-up Study who recalled weight at early adulthood (18 years in women, 21 years in men) and reported current weight in middle adulthood (55 years). Beginning from 55 years old, we prospectively followed them for incident cases of type 2 diabetes, hypertension, cardiovascular disease, cancer, three other medical conditions, and all-cause mortality. Among 51,185 women and 17,694 men who were at least 64 years of age in 2010, we also considered “healthy aging”, defined as no diagnosis of 11 major chronic diseases and no major cognitive impairment, physical impairment, or mental health limitations. Results: On average, female participants gained 12.55 kg (interquartile range: 14.36 kg) of body weight and males gained 9.68 kg (interquartile range: 11.19 kg) from early to middle adulthood. During a median follow-up of 18 years in women and 14 years in men, we documented 9360 incident cases of type 2 diabetes, 37,298 of hypertension, 9220 of cardiovascular disease, 20,222 of cancer (including 9458 of obesity-related cancers), 7438 of symptomatic cholelithiasis, 2702 of severe osteoarthritis, 31,960 of cataract extraction, and 27,250 deaths. In multivariate models, compared to those maintained stable weight (weight change <2.5kg), participants who gained 20+ kg had increased risks of: diabetes (hazard ratio [HR, 95%CI], 10.93[9.65–12.39] in women, 8.19[6.41–10.46] in men), hypertension (2.24[2.15–2.34] in women, 2.11[1.91–2.33] in men), cardiovascular disease (1.87[1.72–2.04] in women, 1.72[1.40–2.11] in men), obesity-related cancers (1.53[1.41–1.66] in women, 1.27[0.95–1.69] in men), and mortality (1.43[1.37–1.50] in women, 1.34[1.18–1.51] in men); they had decreased odds of healthy aging (odds ratio [OR, 95%CI], 0.36[0.32–0.40] in women and 0.50[0.43–0.57] in men). In a meta-analysis combing both sexes, the increase in risk associated with each 10 kg weight gain was 71% for type 2 diabetes, 27% for hypertension, 17% for cardiovascular disease, 31% for symptomatic cholelithiasis, 15% for obesity-related cancers, 9% for severe osteoarthritis, 5% for cataract extraction, and 9% for mortality; for the same weight gain the odds of healthy aging was 28% lower. Conclusions: Our data provide strong evidence that weight gain from early to middle adulthood is associated with substantially increased risk of major chronic diseases and mortality, and overall decreased odds of aging with good health and well-being among women and men.

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Seyyed Saeed Moazzeni ◽  
Reyhane Hizomi Arani ◽  
Niloofar Deravi ◽  
Mitra Hasheminia ◽  
Davood Khalili ◽  
...  

Abstract Background To examine the impact of weight change on incident cardiovascular disease and coronary heart disease (CVD/CHD) among an Iranian population with type 2 diabetes mellitus (T2DM). Methods The study population included 763 participants with T2DM aged ≥ 30 years without a history of CVD and cancer at baseline. Two weight measurements done at baseline and about 3 years later. Based on their weight change, they categorized into: > 5% loss, 3–5% loss, stable (± < 3%), 3–5% gain, > 5% gain. Participants were then followed for incident CVD/CHD annually up to 20 March 2018. Multivariable Cox proportional hazard models, adjusted for age, sex, body mass index, educational level, current smoking, glucose-lowering drug use, family history of CVD, hypertension, hypercholesterolemia, chronic kidney disease, and fasting plasma glucose (FPG) were applied to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs) of weight change categories for incident CVD/CHD, considering stable weight as reference. Results After the weight change measurement, during a median follow-up of 14.4 years, 258 CVD and 214 CHD occurred. Over 5% weight gain was associated with reduced risks of CVD and CHD development by the HRs of 0.70 [95% CI 0.48–1.01; P-value: 0.058] and 0.61 [0.40–0.93], respectively, in multivariable analysis. After further adjustment for FPG change, the HRs of weight gain > 5% were attenuated to 0.75 [0.51–1.10; P-value: 0.138] and 0.66 [043–1.01; P-value: 0.053] for incident CVD and CHD, respectively. The effect of weight loss > 5% was in opposite direction among those older versus younger than 60 years; with suggestive increased risk (not statistically significant) of incident CHD/CVD for the older group. Moreover, weight gain > 5% significantly reduced the risk of CHD only among those older than 60 years (P-value for interaction < 0.2). Furthermore, weight gain > 5% had an association with lower risk of CVD and CHD among sulfonylurea users (0.56 [0.32–0.98] for CVD and 0.54 [0.29–0.99] for CHD). Conclusions Our results with a long-term follow-up showed that weight gain > 5% was associated with better CVD/CHD outcomes among Iranian participants with T2DM, especially older ones. Moreover, we did not find an unfavorable impact on incident CVD/CHD for sulfonylurea-induced weight gain.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Henderikus E. Boersma ◽  
Robert P. van Waateringe ◽  
Melanie M. van der Klauw ◽  
Reindert Graaff ◽  
Andrew D. Paterson ◽  
...  

Abstract Background Skin autofluorescence (SAF) is a non-invasive marker of tissue accumulation of advanced glycation endproducts (AGE). Recently, we demonstrated in the general population that elevated SAF levels predict the development of type 2 diabetes (T2D), cardiovascular disease (CVD) and mortality. We evaluated whether elevated SAF may predict the development of CVD and mortality in individuals with T2D. Methods We included 2349 people with T2D, available baseline SAF measurements (measured with the AGE reader) and follow-up data from the Lifelines Cohort Study. Of them, 2071 had no clinical CVD at baseline. 60% were already diagnosed with diabetes (median duration 5, IQR 2–9 years), while 40% were detected during the baseline examination by elevated fasting blood glucose ≥7.0 mmol/l) and/or HbA1c ≥6.5% (48 mmol/mol). Results Mean (±SD) age was 57 ± 12 yrs., BMI 30.2 ± 5.4 kg/m2. 11% of participants with known T2D were treated with diet, the others used oral glucose-lowering medication, with or without insulin; 6% was using insulin alone. Participants with known T2D had higher SAF than those with newly-detected T2D (SAF Z-score 0.56 ± 0.99 vs 0.34 ± 0.89 AU, p < 0.001), which reflects a longer duration of hyperglycaemia in the former group. Participants with existing CVD and T2D had the highest SAF Z-score: 0.78 ± 1.25 AU. During a median follow-up of 3.7 yrs., 195 (7.6%) developed an atherosclerotic CVD event, while 137 (5.4%) died. SAF was strongly associated with the combined outcome of a new CVD event or mortality (OR 2.59, 95% CI 2.10–3.20, p < 0.001), as well as incidence of CVD (OR 2.05, 95% CI 1.61–2.61, p < 0.001) and death (OR 2.98, 2.25–3.94, p < 0.001) as a single outcome. In multivariable analysis for the combined endpoint, SAF retained its significance when sex, systolic blood pressure, HbA1c, total cholesterol, eGFR, as well as antihypertensive and statin medication were included. In a similar multivariable model, SAF was independently associated with mortality as a single outcome, but not with incident CVD. Conclusions Measuring SAF can assist in prediction of incident cardiovascular disease and mortality in individuals with T2D. SAF showed a stronger association with future CVD events and mortality than cholesterol or blood pressure levels.


2018 ◽  
Vol 54 (4) ◽  
pp. 238-244 ◽  
Author(s):  
David Martinez-Gomez ◽  
Irene Esteban-Cornejo ◽  
Esther Lopez-Garcia ◽  
Esther García-Esquinas ◽  
Kabir P Sadarangani ◽  
...  

ObjectivesWe examined the dose–response relationship between physical activity (PA) and incidence of cardiovascular disease (CVD) risk factors in adults in Taiwan.MethodsThis study included 1 98 919 participants, aged 18–97 years, free of CVD, cancer and diabetes at baseline (1997–2013), who were followed until 2016. At baseline, participants were classified into five PA levels: inactive’ (0 metabolic equivalent of task (MET)-h/week), ‘lower insufficiently active’ (0.1–3.75 MET-h/week), ‘upper insufficiently active’ (3.75–7.49 MET-h/week), ‘active’ (7.5–14.99 MET-h/week) and ‘highly active’ (≥15 MET-h/week]. CVD risk factors were assessed at baseline and at follow-up by physical examination and laboratory tests. Analyses were performed with Cox regression and adjusted for the main confounders.ResultsDuring a mean follow-up of 6.0±4.5 years (range 0.5–19 years), 20 447 individuals developed obesity, 19 619 hypertension, 21 592 hypercholesterolaemia, 14 164 atherogenic dyslipidaemia, 24 275 metabolic syndrome and 8548 type 2 diabetes. Compared with inactive participants, those in the upper insufficiently active (but not active) category had a lower risk of obesity (HR 0.92; 95% CI 0.88 to 0.95), atherogenic dyslipidaemia (0.96; 0.90 to 0.99), metabolic syndrome (0.95; 0.92 to 0.99) and type 2 diabetes (0.91; 0.86 to 0.97). Only highly active individuals showed a lower incidence of CVD risk factors than their upper insufficiently active counterparts.ConclusionCompared with being inactive, doing half the recommended amount of PA is associated with a lower incidence of several common biological CVD risk factors. Given these benefits, half the recommended amount of PA is an evidence based target for inactive adults.


2019 ◽  
Vol 18 (1) ◽  
Author(s):  
You-Bin Lee ◽  
Kyungdo Han ◽  
Bongsung Kim ◽  
Seung-Eun Lee ◽  
Ji Eun Jun ◽  
...  

Abstract Background Both type 1 and type 2 diabetes are well-established risk factors for cardiovascular disease and early mortality. However, few studies have directly compared the hazards of cardiovascular outcomes and premature death among people with type 1 diabetes to those among people with type 2 diabetes and subjects without diabetes. Furthermore, information about the hazard of cardiovascular disease and early mortality among Asians with type 1 diabetes is sparse, although the clinical and epidemiological characteristics of Asians with type 1 diabetes are unlike those of Europeans. We estimated the hazard of myocardial infarction (MI), hospitalization for heart failure (HF), atrial fibrillation (AF), and mortality during follow-up in Korean adults with type 1 diabetes compared with those without diabetes and those with type 2 diabetes. Methods We used Korean National Health Insurance Service datasets of preventive health check-ups from 2009 to 2016 in this retrospective longitudinal study. The hazard ratios of MI, HF, AF, and mortality during follow-up were analyzed using the Cox regression analyses according to the presence and type of diabetes in ≥ 20-year-old individuals without baseline cardiovascular disease (N = 20,423,051). The presence and type of diabetes was determined based on the presence of type 1 or type 2 diabetes at baseline. Results During more than 93,300,000 person-years of follow-up, there were 116,649 MIs, 135,532 AF cases, 125,997 hospitalizations for HF, and 344,516 deaths. The fully-adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for incident MI, hospitalized HF, AF, and all-cause death within the mean follow-up of 4.6 years were higher in the type 1 diabetes group than the type 2 diabetes [HR (95% CI) 1.679 (1.490–1.893) for MI; 2.105 (1.901–2.330) for HF; 1.608 (1.411–1.833) for AF; 1.884 (1.762–2.013) for death] and non-diabetes groups [HR (95% CI) 2.411 (2.138–2.718) for MI; 3.024 (2.730–3.350) for HF; 1.748 (1.534–1.993) for AF; 2.874 (2.689–3.073) for death]. Conclusions In Korea, the presence of diabetes was associated with a higher hazard of cardiovascular disease and all-cause death. Specifically, people with type 1 diabetes had a higher hazard of cardiovascular disease and all-cause mortality compared to people with type 2 diabetes.


Diabetologia ◽  
2019 ◽  
Vol 62 (12) ◽  
pp. 2298-2309 ◽  
Author(s):  
Ari V. Ahola-Olli ◽  
Linda Mustelin ◽  
Maria Kalimeri ◽  
Johannes Kettunen ◽  
Jari Jokelainen ◽  
...  

Abstract Aims/hypothesis Metabolomics technologies have identified numerous blood biomarkers for type 2 diabetes risk in case−control studies of middle-aged and older individuals. We aimed to validate existing and identify novel metabolic biomarkers predictive of future diabetes in large cohorts of young adults. Methods NMR metabolomics was used to quantify 229 circulating metabolic measures in 11,896 individuals from four Finnish observational cohorts (baseline age 24–45 years). Associations between baseline metabolites and risk of developing diabetes during 8–15 years of follow-up (392 incident cases) were adjusted for sex, age, BMI and fasting glucose. Prospective metabolite associations were also tested with fasting glucose, 2 h glucose and HOMA-IR at follow-up. Results Out of 229 metabolic measures, 113 were associated with incident type 2 diabetes in meta-analysis of the four cohorts (ORs per 1 SD: 0.59–1.50; p< 0.0009). Among the strongest biomarkers of diabetes risk were branched-chain and aromatic amino acids (OR 1.31–1.33) and triacylglycerol within VLDL particles (OR 1.33–1.50), as well as linoleic n-6 fatty acid (OR 0.75) and non-esterified cholesterol in large HDL particles (OR 0.59). The metabolic biomarkers were more strongly associated with deterioration in post-load glucose and insulin resistance than with future fasting hyperglycaemia. A multi-metabolite score comprised of phenylalanine, non-esterified cholesterol in large HDL and the ratio of cholesteryl ester to total lipid in large VLDL was associated with future diabetes risk (OR 10.1 comparing individuals in upper vs lower fifth of the multi-metabolite score) in one of the cohorts (mean age 31 years). Conclusions/interpretation Metabolic biomarkers across multiple molecular pathways are already predictive of the long-term risk of diabetes in young adults. Comprehensive metabolic profiling may help to target preventive interventions for young asymptomatic individuals at increased risk.


2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
A Leiherer ◽  
A Muendlein ◽  
C H Saely ◽  
R Laaksonen ◽  
M Laaperi ◽  
...  

Abstract Background The recently introduced Coronary Event Risk Test (CERT) is a validated cardiovascular risk predictor that uses circulating ceramide concentrations to allocate patients into one of four risk categories. Purpose The purpose of this study was to investigate the power of CERT to predict cardiovascular mortality in patients with established cardiovascular disease (CVD) including patients with type 2 diabetes (T2DM). Methods We investigated a total of 1087 patients with established CVD, including 360 patients with T2DM. At baseline, the prevalence of T2DM increased through CERT categories (29.1, 31.1, 37.4, and 53.4%, respectively, ptrend<0.001). Prospectively, cardiovascular deaths were recorded during a mean follow-up time of 8.1±3.2 years. Results A total of 130 cardiovascular deaths occurred. Overall, cardiovascular mortality increased with increasing CERT categories (figure) and was higher in T2DM patients than in those who did not have diabetes (17.7 vs. 9.4%; p<0.001). In Cox regression models, CERT categories predicted cardiovascular mortality in patients with T2DM (unadjusted HR 1.60 [1.28–2.01]; p<0.001; HR adjusted for age, gender, BMI, smoking, LDL cholesterol, HDL cholesterol, hypertension, and statin use 1.65 [1.27–2.15]; p<0.001) and in those without diabetes (unadjusted HR 1.43 [1.10–1.85]; p=0.008 and adjusted HR 1.41 [1.07–1.85]; p=0.015). Cardiovascular survival of CVD patients Conclusion We conclude that CERT predicts cardiovascular mortality in CVD patients with T2DM as well as in those without diabetes.


2019 ◽  
Vol 7 (1) ◽  
pp. e000859 ◽  
Author(s):  
Jooeun Jeon ◽  
Keum Ji Jung ◽  
Heejin Kimm ◽  
Sun Ha Jee

ObjectivesSecondhand smoke (SHS) was known as one of the risk factors for type 2 diabetes. So far, some studies revealed the association of SHS exposure and type 2 diabetes, however, no studies to show the relationship of cumulative SHS exposure with type 2 diabetes exist. Therefore, the objectives of this study were to identify subgroups of participants who share similar trajectories in SHS exposure levels in middle age by using latent class growth modeling, and determine the independent association of these SHS exposure level trajectories with risk of incident type 2 diabetes.MethodsIn Korean Genome and Epidemiology Study (2001–2014), 2079 participants aged 40 years and above who received biennially health check-up to follow-up and with available information of SHS exposure were selected. Four distinct trajectory groups (low-stable, moderate to low, moderate, and high to low) were identified for SHS exposure levels using trajectory modeling methods. Multivariable Cox proportional hazards model was used to examine the association of trajectories with risk of type 2 diabetes.ResultsDuring 24 083.3 person-years of follow-up (mean follow-up duration, 11.6 years), 200 incident cases of type 2 diabetes and 640 incident cases of impaired fasting glucose (IFG) were identified. In multivariable Cox model, ‘High to low’ trajectory was significantly associated with risk of type 2 diabetes (OR 1.9; 95% CI 1.3 to 2.8) compared with ‘Low-stable’. For IFG, all trajectories had significantly 30%–30% higher risk of type 2 diabetes compared with the ‘Low-stable’ trajectory.ConclusionsChanges in SHS exposure levels have been shown to associate with subsequent type 2 diabetes risk. Reversing high exposure level of SHS in middle-aged adulthood may still lead to worse progressions of type 2 diabetes than remaining stable exposure level.


2019 ◽  
Vol 110 (3) ◽  
pp. 666-674 ◽  
Author(s):  
Dong Hoon Lee ◽  
Meng Yang ◽  
Edward L Giovannucci ◽  
Qi Sun ◽  
Jorge E Chavarro

ABSTRACT Background Mushrooms are good dietary sources of important vitamins, minerals, and bioactive compounds which may be important in the prevention of chronic diseases. However, studies have not prospectively evaluated the potential health effects of mushrooms with respect to major cardiometabolic diseases. Objectives The aim of this study was to examine the association of mushroom consumption with major cardiometabolic diseases and mediating biomarkers in 2 large prospective US cohorts. Methods We followed 67,139 women from the Nurses’ Health Study (1986–2012) and 43,541 men from the Health Professionals Follow-up Study (1986–2012) who were free of chronic diseases. Mushroom consumption was assessed at baseline through the use of a food-frequency questionnaire. Cardiometabolic biomarkers were collected in subpopulations of the 2 cohorts. Cox proportional hazards models were used to estimate HRs and 95% CIs of cardiovascular disease (CVD), including coronary heart disease (CHD) and stroke, and type 2 diabetes (T2D), associated with mushroom consumption. Results We identified total 11,894 CVD (7,616 CHD; 4,278 stroke), and 10,206 T2D cases in &gt;2 million person-years of follow-up. In the pooled multivariable-adjusted analysis, participants who consumed ≥5 servings of mushrooms per week had no significantly different risk of total CVD (HR: 1.02; 95% CI: 0.91, 1.14), CHD (HR: 1.00; 95% CI: 0.87, 1.16), stroke (HR: 1.05; 95% CI: 0.87, 1.25), or T2D (HR: 1.04; 95% CI: 0.93, 1.16) than participants who consumed mushrooms &lt;1 time/mo. We consistently found no association between mushroom consumption and the aforementioned cardiometabolic diseases, in subgroups of sex, lifestyle factors, and medical conditions. Moreover, mushroom consumption was not associated with plasma biomarkers of lipids, insulin, and inflammation. Conclusions We found no association of mushroom consumption with biomarkers and risks of CVD and T2D in US adults. More large prospective cohort studies are warranted to investigate this association in other racial/ethnic groups.


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