scholarly journals Does metabolic health in overweight and obesity persist? – Individual variation and cardiovascular mortality over two decades

2016 ◽  
Vol 175 (2) ◽  
pp. 133-143 ◽  
Author(s):  
Akaal Kaur ◽  
Desmond G Johnston ◽  
Ian F Godsland

Objective Overweight and obese individuals may be metabolically healthy, but attention needs to be given to long-term persistence of this trait and any associated variation in cardiovascular risk. Design Cross-sectional and longitudinal variation in metabolic health and associated cardiovascular mortality were analysed in 1099 white European-origin normal-weight and overweight or obese males followed for 20years. Methods Definitions of metabolic health were based on LDL and HDL cholesterol, triglycerides, blood pressure, fasting glucose and cardiovascular risk. Insulin resistance (e.g. HOMA-IR) and sub-clinical inflammation (ESR and white blood cell count) were explored. Cardiovascular mortality risks and persistence of metabolic health status were evaluated. Results There were 87 cardiovascular deaths. Insulin resistance was increased in metabolically healthy overweight or obese participants (median HOMA-IR 2.63, 95% CI: 1.79–3.65, P<0.001) relative to normal-weight participants (median HOMA-IR 1.67, 95% CI: 1.08–2.67, P<0.001) as was sub-clinical inflammation but metabolically healthy overweight or obese individuals were not at increased risk of cardiovascular mortality compared with the metabolically healthy normal-weight individuals (hazard ratio 1.13, 95% CI: 0.34–3.72, P=0.8). The proportions of initially metabolically healthy overweight or obese who remained metabolically healthy for visits 2, 3 and 4 were 54, 48 and 39% respectively, and for initially normal-weight individuals, 68, 51 and 41%. A lower proportion of metabolically healthy overweight or obese individuals remained metabolically healthy at visit 2 compared with normal-weight individuals (P=0.007), but proportions converged thereafter. Conclusions Despite being insulin resistant and having greater sub-clinical inflammation, and despite instability in metabolic health status, metabolically healthy overweight or obese individuals were at no greater risk of cardiovascular mortality than their normal-weight equivalents.

2020 ◽  
Author(s):  
Anxin Wang ◽  
Yu Wang ◽  
Yingting Zuo ◽  
Xue Tian ◽  
Shuohua Chen ◽  
...  

Abstract BackgroundTo investigate the risk of incident arterial stiffness according to metabolically healthy obese (MHO) phenotype in Chinese population.Materials and methodsThe Kailuan study is an ongoing prospective cohort study, 37,180 participants with at least one-time measurement of branchial-ankle pulse wave velocity (baPWV) were included in the cross-sectional analysis, and 16,236 participants with repeated measurement of baPWV during the follow-ups were included in the longitudinal study from March 1, 2010, to January 31, 2020. Cross-classification of body mass index (BMI) categories and metabolic health status created six groups. Linear and logistic regression analyses were used to assess the association between BMI-metabolic status phenotypes and baPWV in mono-factor and multi-factor models. ResultsThe results of cross-sectional and longitudinal investigation were basically the same, as the abnormality of baPWV increased with BMI categories in metabolically healthy participants, while the increasing tendency disappeared in metabolically unhealthy participants. A 1.6-fold, 2.8-fold increased risk for the new occurrence of arterial stiffness were documented in MHO and metabolically unhealthy obese participants compared to metabolically healthy normal weight controls in the fully adjusted model. Further stratified analysis shown that metabolic health status was an interaction factor between BMI and arterial stiffness in either study population (P<0.0001 for cross-sectional study and P=0.0003 for longitudinal study).ConclusionsMetabolic health status and BMI categories contribute to the progression of arterial stiffness, while BMI is positively associated with arterial stiffness only in metabolically healthy participants. Moreover, MHO is an intermediate stage between metabolically healthy and unhealthy status.Trial registration: ChiCTR-TNRC-11001489. Registered 24 August 2011 - Retrospectively registered, http://www.chictr.org.cn/showprojen.aspx?proj=8050


2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Ana N. Monczor ◽  
Xiuhong Li ◽  
Frank J. Palella ◽  
Kristine M. Erlandson ◽  
Dorothy Wiley ◽  
...  

Background. Increasing body mass index (BMI) is generally associated with loss of metabolic health, although some obese individuals remain metabolically healthy. Among nonobese men, HIV infection has been associated with a lower prevalence of metabolic health. Methods. We conducted a cross-sectional analysis of 470 HIV-infected and 368 HIV-uninfected men enrolled in the Multicenter AIDS Cohort Study Cardiovascular substudy. Circulating biomarker levels were compared by BMI category and by HIV serostatus. Poisson regression with robust variance determined associations between metabolic health and circulating inflammatory biomarker levels after adjusting for factors previously associated with metabolic health. Results. HIV-infected men were younger and less likely to be obese. Among HIV-infected, normal weight metabolically healthy men (compared to unhealthy) had significantly lower circulating levels of interleukin- (IL-) 6, soluble tumor necrosis factor receptors (sTNFR) I and II, and homeostatic model assessment of insulin resistance (HOMA-IR), higher adiponectin, less visceral fat, and more subcutaneous fat. Among HIV-uninfected normal weight men and obese men (regardless of HIV serostatus), metabolic health was associated only with higher levels of adiponectin, less visceral fat, and lower HOMA-IR values. In multivariate analyses restricted to HIV-infected men, lower hs-CRP, sTNFRI, sTNFRII, and HOMA-IR and higher adiponectin levels were associated with metabolic health. Additional adjustment for visceral adiposity did not alter results. Conclusions. Among HIV-infected normal weight men, metabolic health was associated with less systemic inflammation, a relationship that, among normal weight men, was unique to HIV+ men and did not exist among obese men of either HIV serostatus.


Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 2974-2974
Author(s):  
Anja B.U. MÄkelburg ◽  
Saskia Middeldorp ◽  
Karly Hamulyàk ◽  
Martin Prins ◽  
Harry R Büller ◽  
...  

Abstract Abstract 2974 Poster Board II-951 Introduction: Arterial and venous thromboembolism (VTE) share or seem to share cardiovascular risk factors such as older age, overweight and obesity, and possibly also hypertension, diabetes mellitus, dyslipidemia, and smoking. Little is known if subjects with common thrombophilia, (i.e. factor V Leiden, prothrombin G20210A or high factor VIII levels) are at higher risk of first or recurrent VTE due to cardiovascular risk factors. For subjects with rare thrombophilia (i.e. antithrombin, protein C or protein S deficiency), or non-carriers of thrombophilia no information is currently available whether contribution of cardiovascular risk factors increases the risk of first or recurrent VTE. Methods: In a multi-center retrospective cohort study of families with thrombophilia, we performed a post-hoc analysis to identify if relatives with rare thrombophilia, common thrombophilia, and relatives without one of these thrombophilic defects were at increased risk of first or recurrent VTE due to cardiovascular risk factors. Known cardiovascular risk factors were recorded: hypertension, hyperlipidemia, the presence of diabetes mellitus, smoking habits and overweight/obesity defined by body mass index (BMI) ≥25-30 kg/m2 or ≥30 kg/m2, respectively. Observation time for first VTE started at the age of 15, and for recurrent VTE on the date when initial anticoagulant treatment was withdrawn. Observation time ended on the date of first VTE or recurrence, respectively, or at date of enrollment. First, the absolute risk of first VTE for cardiovascular risk factors was calculated for the whole cohort. Sensitivity analyses were performed to assess the effect of idiopathic or provoked classification of initial thrombotic event and type of event (deep vein thrombosis or pulmonary embolism). When a positive association was found, a further stratification was subsequently made to analyze whether relatives with rare, common, or no thrombophilia influenced these risks. A Cox-proportional hazards model was used to evaluate risks between groups for adjustments of age and sex. Results: Of a total of 2097 relatives, 55% were female, 180 (12%) had first VTE at a median age of 35 years and 52 (2%) had a recurrence at a median age of 40 years. Of relatives, 20% had hypertension, 13% dyslipidemia, 5% diabetes mellitus, 22% were previous smokers, 35% were overweight and 15% were obese. Point estimates of adjusted hazard ratios in relatives with hypertension, hyperlipidemia, diabetes mellitus or previous smokers, compared to their reference groups ranged between 0.9 and 1.1 and were not statistically significant. Relatives with VTE were heavier than relatives without VTE (mean BMI 27.0 vs 25.5 kg/m2, P< 0.001); adjusted hazard ratio for each 1-point increase in BMI was 1.035 (95% CI, 1.010-1.066). Absolute risk of first VTE in normal weight, overweight or obese subjects was 0.16% (95% CI, 0.12-0.20), 0.20% (95% CI, 0.16-0.25), and 0.26% (95% CI, 0.19-0.36), respectively. Sensitivity analyses did not change these outcomes. Annual incidences of first VTE in non-carriers of thrombophilia, common thrombophilia carriers and rare thrombophilia carriers were 0.04%, 0.20% and 0.97%. In the non-carrier group, adjusted hazard ratios for first VTE in overweight or obese relatives were 6.1 (95% CI, 1.3-28.1) and 6.7 (95% CI, 1.2-37.6), compared to non-carriers of normal weight. In common thrombophilia carriers these risks were 1.7 (95% CI, 1.0-2.9) and 2.1 (95% CI, 1.2-3.8) fold increased. In rare thrombophilia carriers, overweight or obesity was not associated with an increased risk of first VTE (adjusted hazard ratios 0.8; 95% CI, 0.5-1.4 and 0.8; 95% CI, 0.4-1.7, respectively). For recurrence, overweight and obese relatives with common or rare thrombophilia seemed to have a slightly higher risk of recurrence than normal weight relatives, but the overall 10 year recurrence rate in both groups was similar. Conclusion: Venous thrombotic risk increases with increasing BMI in non-carriers and common thrombophilia carriers. This effect is overruled in carriers of rare thrombophilia, where a deficiency itself irrespective of BMI apparently is sufficient to generate very high risk of thrombosis. Overweight and obesity seemed to increase the risk of recurrence in carriers of both common and rare thrombophilia. Other cardiovascular risk factors did not increase the risk of VTE in this thrombophilic family cohort. Disclosures: No relevant conflicts of interest to declare.


2021 ◽  
Author(s):  
Sailimai Man ◽  
Yongxiang Gao ◽  
Jun Lv ◽  
Mingkun Tong ◽  
Jianchun Yin ◽  
...  

Objective The risk of gallstones among metabolically healthy obesity (MHO) individuals is largely unexplored. Therefore, the present study investigated the association between MHO and gallstones in a health check-up cohort of Chinese adults. Design A prospective cohort study. Methods Participants included 58,862 individuals from the MJ health check-up cohort aged ≥ 18 years without history of gallstones at baseline. Gallstones were diagnosed using abdominal B-type ultrasound. Metabolically healthy was defined as not having any one of the components of metabolic syndrome. Obesity was identified by body mass index (BMI) and waist circumference (WC). Participants were cross-classified at baseline by metabolic health and obesity. Adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) of gallstones across BMI categories were estimated with Cox proportional hazard regression models. Results During a median follow-up of 3.0 (interquartile range, 1.6-6.1) years, 1,269 participants developed gallstones. Individuals with MHO (HR: 1.95, 95% CI: 1.23, 3.09 for BMI criteria; HR: 1.74, 95% CI: 1.37, 2.21 for WC criteria) had significantly higher risk of gallstones than those with metabolically healthy normal weight. In metabolically healthy individuals, BMI and WC both displayed linear dose-response relationships with gallstones (P for non-linearity > 0.05). The association between MHO and gallstones remained unchanged when using different criteria for metabolic health and obesity. Conclusions MHO was significantly associated with gallstones, suggesting that obesity can independently contribute to gallstones development, even among metabolically healthy individuals. These findings emphasize that metabolically healthy individuals may still benefit from maintaining normal body weight to prevent gallstones.


2018 ◽  
Vol 5 (5) ◽  
pp. 1124
Author(s):  
S. Senthil Kumar ◽  
S. Vithiavathi ◽  
P. Parameswaren ◽  
S. Rakesh Kumar

Background: Obesity is a disease process characterized by excessive body fat accumulation which is associated with a large number of debilitating and life-threatening disorders. It is necessary to curb obesity when its beginning in late childhood or adolescence and youngsters. Hence this study is aimed to determine the prevalence of obesity among medical college students.Methods: This is an observational cross-sectional study conducted at Aarupadai Veedu Medical College and Hospital, Puducherry. Height, weight, waist and hip circumference were measured, and BMI and Waist Hip ratio has been calculated according to WHO standards to determine obesity level in students.Results: Out of the total 94 students included in the study 56.4% students were in normal weight, 26.6% overweight, 6.4% were obese and shockingly 10.6 % were in the underweight category. Nearly 81.8% and 79.5% of female and male students respectively were in the substantially increased risk category showing insignificant difference between genders.Conclusions: This study shows that overweight and obesity is prevalent among medical students without much difference in gender basis. Frequent screening might create awareness among students and help them become more self-conscious regarding overweight and obesity.


2021 ◽  
Author(s):  
Zimin Song ◽  
Meng Gao ◽  
Jun Lv ◽  
Canqing Yu ◽  
Yu Guo ◽  
...  

Objectives: To prospectively assess the association of metabolic health status and its transition with incident diabetes risk across body mass index (BMI) categories. Design: Cohort study based on the China Kadoorie Biobank (CKB) Methods: The CKB study enrolled 512,715 adults aged 30-79 years from 10 diverse areas in China during 2004-2008. After exclusion, 432,763 participants were cross-classified by BMI categories and the metabolic status during followed-up for incident diabetes disease. The changes in BMI and metabolic health status were defined from baseline to the second resurvey. Results: Type 2 diabetes risk is higher for metabolically healthy obese (MHO) subjects than metabolically healthy normal weight (MHN) individuals (HR: 3.97, 95% CI: 3.64-3.66), and it is highest for those affected by metabolically healthy obese (MUO) (HR: 6.47, 95% CI: 6.17-6.79). About 15.26% of participants with MHN converted to metabolically healthy overweight or obesity (MHOO), whereas 48.40% of MHOO remained unconverted throughout the follow-up. In obese or overweight people, the conversion from metabolically healthy to unhealthy might increase the chances of developing diabetes as compared to those with a stable metabolic healthy state (HR: 3.70, 95% CI: 2.99-4.59), while those with persistent metabolic disorders are most likely to have diabetes (HR: 8.32, 95% CI: 7.08-9.78). Conclusions: Metabolic healthy is a transient state, and individuals converted from metabolically healthy status to unhealthy phenotypes across all BMI categories might raise the risk of diabetes.


2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Shenghui Wu ◽  
Susan P. Fisher-Hoch ◽  
Belinda Reninger ◽  
Kristina Vatcheva ◽  
Joseph B. McCormick

Purpose. To compare the risk for diabetes in each of 4 categories of metabolic health and BMI.Methods. Participants were drawn from the Cameron County Hispanic Cohort, a randomly selected Mexican American cohort in Texas on the US-Mexico border. Subjects were divided into 4 phenotypes according to metabolic health and BMI: metabolically healthy normal weight, metabolically healthy overweight/obese, metabolically unhealthy normal weight, and metabolically unhealthy overweight/obese. Metabolic health was defined as having less than 2 metabolic abnormalities. Overweight/obese status was assessed by BMI higher than 25 kg/m2. Diabetes was defined by the 2010 ADA definition or by being on a diabetic medication.Results. The odds ratio for diabetes risk was 2.25 in the metabolically healthy overweight/obese phenotype (95% CI 1.34, 3.79), 3.78 (1.57, 9.09) in the metabolically unhealthy normal weight phenotype, and 5.39 (3.16, 9.20) in metabolically unhealthy overweight/obese phenotype after adjusting for confounding factors compared with the metabolically healthy normal weight phenotype.Conclusions. Metabolic health had a greater effect on the increased risk for diabetes than overweight/obesity. Greater focus on metabolic health might be a more effective target for prevention and control of diabetes than emphasis on weight loss alone.


BMJ Open ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. e036332
Author(s):  
Zhaogeng Yang ◽  
Yanhui Li ◽  
Bin Dong ◽  
Di Gao ◽  
Bo Wen ◽  
...  

ObjectiveMetabolic syndrome (MS) and its components are observed to emerge in childhood and may continue into adulthood. The study aimed to investigate the association between parental overweight and risk of childhood MS and its components in their offspring.MethodsData were obtained from a cross-sectional survey conducted in Chinese children and adolescents; a total of 11 784 children aged 7–18 years were included in this study; child outcomes were obtained from objective measurements and parental data were obtained from questionnaires; MS was defined according to the modified criteria of Adult Treatment Panel Ⅲ; correlation between parental overweight and offspring MS was assessed via multivariate logistic regression models adjusted for potential covariates.Results3476 (29.5%) children were found to have overweight fathers, 1041 (8.8%) had overweight mothers and 852 (7.2%) had both overweight parents. The prevalence of MS was 7.1% in total, 8.2% in boys and 5.9% in girls; children with overweight parents had a higher prevalence of MS and its components (except for elevated glucose) compared with children with normal-weight parents. Children with overweight fathers, mothers and both parents had 2.17 times (95% CI: 1.65–2.85), 2.89 times (95% CI: 2.03–4.11) and 2.81 times (95% CI: 1.91–4.15) higher risk of MS, respectively. Children with overweight mothers were likely to have a higher risk of MS compared with children with overweight fathers. Parental overweight was positively correlated with higher risk of MS, abdominal obesity and low HDL-C both in boys and girls.ConclusionParental overweight was strongly associated with increased risk of MS in their offspring, the risk was highest in children with both parents to be overweight. Maternal overweight seems to have a stronger correlation with offspring MS than paternal overweight. Parental overweight is one of the factors for identifying metabolic dysfunction risk in their offspring and other factors need to be considered as well.


2015 ◽  
Vol 18 (18) ◽  
pp. 3349-3354 ◽  
Author(s):  
Helen L MacLaughlin ◽  
Wendy L Hall ◽  
Thomas AB Sanders ◽  
Iain C Macdougall

AbstractObjectiveStudies of the relationship between obesity and chronic kidney disease (CKD) in nationally representative population samples are limited. Our study aimed to determine if overweight and obesity were independently associated with the risk for CKD in the 2010 Health Survey for England (HSE).DesignThe HSE is an annually conducted cross-sectional study. In 2010 serum creatinine was included to determine the incidence of CKD in the population. CKD was defined as estimated glomerular filtration rate (eGFR) <60 ml/min per 1·73 m2 using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) formula. Multivariable logistic regression models were developed to calculate odds ratios and 95 % confidence intervals for CKD risk by BMI (reference category: BMI=18·5–24·9 kg/m2) and adjusted for age, gender, ethnicity, smoking, diabetes and hypertension.SettingA random sample of nationally representative households in England.SubjectsAdults (n 3463) with calculable eGFR and BMI were included.ResultsThe prevalence of CKD was 5·9 %. The risk of CKD was over 2·5 times higher in obese participants compared with normal-weight participants in the fully adjusted model (BMI=30·0–39·9 kg/m2: adjusted OR=2·78 (95 % CI 1·75, 4·43); BMI ≥ 40·0 kg/m2: adjusted OR=2·68 (95 % CI 1·05, 6·85)).ConclusionsObesity is associated with an increased risk of CKD in a national sample of the UK population, even after adjustment for known CKD risk factors, which may have implications for CKD screening and future national health service planning and delivery.


2016 ◽  
Vol 12 (2) ◽  
pp. 187-191 ◽  
Author(s):  
Laura Sánchez-Iñigo ◽  
David Navarro-González ◽  
Alejandro Fernández-Montero ◽  
Juan Pastrana-Delgado ◽  
JA Martínez

Background Whether obesity is a major risk factor for cardiovascular disease in the absence of metabolic comorbidities remains under debate. Indeed, some obese individuals may be at low risk of metabolic-related complications, while normal-weight individuals may not be “healthy.” Aims To assess the incidence of ischemic stroke according to the metabolic health and obesity states of 5171 participants from the Vascular-Metabolic CUN cohort. Methods A Cox proportional-hazard analysis was conducted to estimate the hazard ratio and their 95% confidence interval of stroke according to the metabolic health and obesity states based on TyG index and Adult Treatment Panel-III criteria, during 9.1 years of follow-up. Results After 50,056.2 person-years of follow-up, 162 subjects developed an ischemic stroke (incidence rate 3.23 per 1000 person-years). Metabolically healthy obese subjects did not show greater risk of stroke, while metabolically unhealthy participants, obese and non-obese, had an increased risk of stroke, compared with healthy non-obese. The hazard ratios for the multivariable adjusted model were 1.55 (95% CI: 1.36–1.77) and 1.86 (95% CI: 1.57–2.21), respectively. Conclusions Metabolically unhealthy individuals exhibited a greater risk of ischemic stroke than metabolically healthy obese individuals.


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