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1.

Objective

Increasing evidence doubts the benign nature of metabolically healthy obesity (MHO). An investigation of the association of MHO and other obesity phenotypes with electrocardiographic left ventricular hypertrophy (ECG-LVH), a risk factor for cardiovascular disease (CVD), can give insight into the pathophysiological basis for increased risk of CVD linked to these phenotypes.

Methods

This analysis included 3997 participants (58.7?±?13.6?years; 51.8% women) without CVD from the NHANES-III. Metabolic syndrome was defined according to the Adult Treatment Panel III. Obesity was defined as body mass index ≥30?kg/m2. Multivariable logistic regression was used to examine the cross-sectional association between 4 obesity phenotypes (metabolically healthy non-obese (MHNO) (reference), metabolically unhealthy non-obese (MUNO), MHO and metabolically unhealthy obese (MUO) with Cornell voltage ECG-LVH.

Results

There was an incremental increase in the prevalence of ECG-LVH across obesity phenotypes with the highest prevalence in the MUO followed by MHO, MUNO and then MHNO (ECG-LVH?=?6.45%, 5%, 4.71%, and 1.69%, respectively, trend p-value?<?0.001). Also, there was incremental increase in the strength of associations with ECG-LVH across obesity phenotypes with higher odds of ECG-LVH in the MUO (OR (95% CI): 4.12 (2.30–7.39) followed by MUNO (OR (95% CI): 2.62 (1.45–4.73) then MHO (OR (95% CI): 2.45 (1.11–5.43) compared to MHNO. The MHO association with ECG-LVH was stronger in men than women (OR (95% CI): 5.55 (1.49–20.70) vs. 1.94 (0.71–5.24) respectively; interaction p-value?=?0.04).

Conclusions

Obesity phenotypes including MHO are associated with ECG-LVH, thus further questioning the concept of benign obesity.  相似文献   

2.

Background

We estimated the prevalence of metabolically obese nonobese (MONO), metabolically obese obese (MOO), and metabolically healthy obese (MHO) individuals and correlated this with the prevalence of coronary artery disease (CAD) compared to metabolically healthy nonobese (MHNO) in urban South Indians.

Method

Study subjects (n = 2350) were recruited from the Chennai Urban Rural Epidemiology Study. Generalized obesity was defined as a body mass index (BMI) ≥25 kg/m2, based on the World Health Organization Asia Pacific guidelines. Metabolic syndrome (MS) was diagnosed based on the South Asian Modified-National Cholesterol Education Programme criteria. Coronary artery disease was defined by known myocardial infarction or Q waves on resting electrocardiogram.

Results

Metabolically obese nonobese was defined as nonobese subjects (BMI < 25 kg/m2) with MS, MOO as obesity (BMI ≥ 25 kg/m2) with MS, MHO as obese subjects (BMI ≥ 25 kg/m2) with no MS, and MHNO as no obesity or MS. Metabolically obese nonobese was identified in 355 (15.1%), MOO in 348 (14.8%), MHO in 312 (13.3%), and MHNO in 1335 (56.8%) subjects. The prevalence of CAD among the MONO, MOO, MHO, and MHNO was 5.5%, 4.2%, 1.4%, and 2.6%. However, when age standardization was done, there was no statistically significant increase in the risk of CAD among MONO [odds ratio (OR) = 1.300, 95% confidence interval (CI) 0.706–2.394, p = .339], MOO (OR = 1.651, 95% CI 0.852–3.199, p = .137), and MHO (OR = 0.524, 95% CI 0.250–2.130, p = .564) groups compared to MHNO, perhaps due to small numbers.

Conclusion

Metabolic obesity may have different clinical implications than phenotypic obesity.  相似文献   

3.

Background

Debate over the cardiometabolic risk associated with metabolically healthy obesity (MHO) continues. Many studies have investigated this relationship by examining MHO at baseline with longitudinal follow-up, with inconsistent results.

Objectives

The authors hypothesized that MHO at baseline is transient and that transition to metabolic syndrome (MetS) and duration of MetS explains heterogeneity in incident cardiovascular disease (CVD) and all-cause mortality.

Methods

Among 6,809 participants of the MESA (Multi-Ethnic Study of Atherosclerosis) the authors used Cox proportional hazards and logistic regression models to investigate the joint association of obesity (≥30 kg/m2) and MetS (International Diabetes Federation consensus definition) with CVD and mortality across a median of 12.2 years. We tested for interaction and conducted sensitivity analyses for a number of conditions.

Results

Compared with metabolically healthy normal weight, baseline MHO was not significantly associated with incident CVD; however, almost one-half of those participants developed MetS during follow-up (unstable MHO). Those who had unstable MHO had increased odds of CVD (odds ratio [OR]: 1.60; 95% confidence interval [CI]: 1.14 to 2.25), compared with those with stable MHO or healthy normal weight. Dose response for duration of MetS was significantly and linearly associated with CVD (1 visit with MetS OR: 1.62; 95% CI: 1.27 to 2.07; 2 visits, OR: 1.92; 95% CI: 1.48 to 2.49; 3+ visits, OR: 2.33; 95% CI: 1.89 to 2.87; p value for trend <0.001) and MetS mediated approximately 62% (44% to 100%) of the relationship between obesity at any point during follow-up and CVD.

Conclusions

Metabolically healthy obesity is not a stable or reliable indicator of future risk for CVD. Weight loss and lifestyle management for CVD risk factors should be recommended to all individuals with obesity.  相似文献   

4.

Background and aims

Recent studies identified that metabolically abnormal non-overweight phenotype is a risk factor for cardiovascular diseases. However, only little is known about risk factors for the progression from metabolically healthy non-overweight (MHNO) to metabolically abnormal phenotype. In this study, we investigated the impact of respiratory function on the progression from MHNO to metabolically abnormal phenotype.

Methods and results

In this retrospective cohort study, 8949 (3872 men and 5077 women) individuals with MHNO, who participated in a health-checkup program from 2004 to 2015, were enrolled. Four metabolic factors (high-normal blood pressure or hypertension, impaired fasting glucose or diabetes, hypertriglyceridemia, and low HDL cholesterol concentration) were used to define metabolically healthy (less than two factors) or metabolically abnormal (two or more factors) phenotypes. Respiratory function was measured by spirometry.Over a median 4.0 years of follow-up, 927 participants progressed to metabolically abnormal phenotype. The percentage of FVC for predicted values (HR 0.98, 95% CI 0.93–1.03, p = 0.418) was not associated with the progression to metabolically abnormal phenotype after adjusting for covariates, including age, sex, alcohol consumption, exercise, smoking status, and body mass index, whereas the percentage of FEV1 for predicted values (%FEV1) (HR 0.87, 95% CI 0.84–0.91, p < 0.001) and the FEV1/FVC ratio (HR 0.86, 95% CI 0.78–0.95, p = 0.004) were associated with the progression to metabolically abnormal phenotype.

Conclusion

Decrease in respiratory function in terms of %FEV1 and the FEV1/FVC ratio is associated with the progression to metabolically abnormal phenotype in individuals with MHNO.  相似文献   

5.

Background and aims

There is controversy on the potentially benign nature of metabolically healthy obesity (MHO), i.e., obese persons with few or no metabolic abnormalities. So far, associations between MHO and coronary artery calcification (CAC), a measure of subclinical atherosclerosis, have mainly been studied cross-sectionally in Asian populations. We assessed cross-sectional and longitudinal MHO CAC associations in a Caucasian population.

Methods and results

In the Heinz Nixdorf Recall Study, a population-based cohort study in Germany, CAC was assessed by electron-beam tomography at baseline and at 5-year follow-up. For cross-sectional and longitudinal analyses, we included 1585 participants free of coronary heart disease at baseline, with CAC measurements at baseline and at follow-up, and with either normal weight (BMI 18.5–24.9 kg/m2) or obesity (BMI ≥30.0 kg/m2) at baseline. We used four definitions of MHO. In our main analysis, we defined obese persons as metabolically healthy if they met ≤1 of the NCEP ATP III criteria for the definition of the metabolic syndrome – waist circumference was not taken into account because of collinearity with BMI.Persons with MHO had a higher prevalence of CAC than metabolically healthy normal weight (MHNW) persons (prevalence ratio = 1.59 (95% confidence interval 1.38–1.84) for the main analysis). Persons with MHO had slightly larger odds of CAC progression than persons with MHNW (odds ratios ranged from 1.17 (0.69–1.99) to 1.48 (1.02–2.13) depending on MHO definition and statistical approach).

Conclusion

Our analyses on MHO CAC associations add to the evidence that MHO is not a purely benign health condition.  相似文献   

6.

Background and objectives

Metabolically healthy obesity (MHO) is a unique obesity phenotype that apparently protects people from the metabolic complications of obesity. The association between MHO phenotype and incident CKD is unclear. Thus, this study investigated the association between MHO phenotype and incident CKD.

Design, setting, participants, & measurements

A total of 3136 Japanese participants were enrolled in an 8-year follow-up cohort study in 2001. Metabolically healthy status was assessed by common clinical markers: BP, triglycerides, HDL cholesterol, and fasting plasma glucose concentrations. Body mass index ≥25.0 kg/m2 was defined as obesity. CKD was defined by proteinuria or eGFR of <60 ml/min per 1.73 m2. To calculate the odds ratio for incident CKD, logistic regression analyses were performed.

Results

The crude incidence proportions of CKD were 2.6% (56 of 2122 participants) in participants with the metabolically healthy nonobesity phenotype, 2.6% (8 of 302) in those with the MHO phenotype, 6.7% (30 of 445) in those with the metabolically abnormal nonobesity phenotype, and 10.9% (29 of 267) in those with the metabolically abnormal obesity phenotype. Compared with metabolically healthy nonobesity phenotype, the odds ratios for incident CKD were 0.83 (95% confidence interval [95% CI], 0.36 to 1.72; P=0.64) for MHO, 1.44 (95% CI, 0.80 to 2.57; P=0.22) for metabolically abnormal nonobesity, and 2.80 (95% CI, 1.45 to 5.35; P=0.02) for metabolically abnormal obesity phenotype after adjustment for confounders, including age, sex, smoking statues, alcohol use, creatinine, uric acid, systolic BP, HDL cholesterol, and impaired fasting glucose or diabetes.

Conclusion

MHO phenotype was not associated with higher risk of incident CKD.  相似文献   

7.

Background and aims

We aimed to evaluate whether the metabolically healthy obese (MHO) phenotype was associated with hepatic steatosis (HS) or left ventricular hypertrophy (LVH) in young people with overweight (OW), obesity (OB) and morbid obesity (MOB) and whether the prevalence of these comorbidities was affected by OB severity.

Methods and results

An abdominal ultrasound was performed in 1769 children and adolescents, mean age 10.6 years (range 5–18) with MHO phenotype, defined as the absence of traditional cardiometabolic risk factors, in order to identify HS. In a subsample of 177 youth the presence of LVH, defined by 95th percentile of LV mass/h2.7 for age and gender, was also analyzed. The prevalence of HS increased from 23.0% in OW to 27.8% in OB and 45.1% in MOB (P < 0.0001). The proportion of LVH increased from 36.8% in OW to 57.9% in OB and 54.5% in MOB (P < 0.05). As compared with OW, the odds ratio (95% CI) for HS was 2.18 (1.56–3.05), P < 0.0001) in OB and 6.20 (4.26–9.03), P < 0.0001) in MOB, independently of confounding factors. The odds ratio for LVH was 2.46 (1.20–5.06), P < 0.025) in OB and 2.79 (1.18–6.61), P < 0.025) in MOB, as compared with OW.

Conclusion

In spite of the absence of traditional cardiometabolic risk factors, the prevalence of HS and LVH progressively increased across BMI categories. MHO phenotype does not represent a “benign” condition in youth.  相似文献   

8.

Aims

The objective of this study was to determine the prevalence and the associated factors of metabolically unhealthy in normal-weight and metabolically healthy in obese.

Methods

We analyzed the data of a representative sample of 986 participants recruited among adult population of north of Iran. Data were collected regarding demographic characteristics, lifestyle, body mass index, abdominal obesity measures, blood pressure, and lipid profiles. The participants were classified as metabolically healthy obese (MHO) and metabolically unhealthy normal-weight (MUNW). Metabolically unhealthy was defined as the presence of? ≥2 non-obese components of metabolic syndrome based on ATP III criteria.

Results

The prevalence rate of MUNW and MHO accounted for 17.2% and 15.1% respectively. Mean age of participants with metabolically unhealthy was significantly greater than metabolically healthy in both normal weight and overweight/obese (P = 0.001). The results of multiple logistic regression analysis showed in normal-weight individuals, a significant association of MUNW was found with age group of 50–59 years(OR = 3.83, 95%CI: 1.71-8.57) and 60–70 years by OR = 4.74(95%CI:1.79-12.54) as compared with age group of 20–29 years. It was also associated with current smoking. While metabolically healthy state in overweight/obese was inversely associated with age 50–59 years by OR = 0.26 (95%CI:0.13-0.54) and age 60–70 years by OR = 0.15 (95%CI:0.05- 0.39) and higher WC by OR = 0.47 (95%CI:0.31-0.72) but positively associated with female-sex by OR = 1.74 (95%CI:1.07-2.82).

Conclusion

Aging and smoking are significantly associated with metabolic abnormalities in normal-weight while aging, abdominal obesity negatively and female positively associated with metabolically healthy in obese.  相似文献   

9.
Background and aimsThe association between obesity severity and duration with the transition from metabolically healthy obese/overweight (MHO) phenotype to metabolically unhealthy obese (MUO) phenotype is not well understood.Methods and resultsThis study includes the Tehran Lipid and Glucose Study participants who were initially classed as MHO. Cumulative excess weight (CEW) and cumulative excess waist circumference (CEWC) scores, which represent the accumulation of body mass index and waist circumference deviations from expected values over time (kg/m2 1 y and cm 1 y, respectively), were calculated until the transition from MHO to MUO or the end of follow-up. The sex-stratified association of CEW and CWEC with the transition from MHO to MUO was investigated by time-dependent Cox models, adjusting for confounders. Out of 2525 participants, 1732 (68.5%) were women. During 15 years of follow-up, 1886 (74.6%) participants transitioned from MHO to MUO. A significant association was found between CEW and CEWC quartiles with the development of MUO among women participants (fully adjusted hazard ratios in the fourth quartile of CEW and CEWC [95% (CI)]:1.65 [1.37–1.98] and [95% CI]: 1.83 [1.53–2.19]). There was no significant association between CEW and CEWC with the MHO transition to MUO among men participants.ConclusionOver 15 years of follow-up in TLGS, general and central obesity accumulation was associated with the increased transition from MHO to MUO among women participants. More research with a larger sample size is needed to confirm and explain why the results are different for men and women.  相似文献   

10.
The risk of cancer among adults with metabolically healthy obesity (MHO) has not yet been established. We systematically searched from inception to 15 March 2020. We included prospective cohort studies that compared participants with MHO and participants with metabolically healthy non‐obesity (MHNO) for incidence of any type of cancer. Benign tumors, cancer mortality or cancer prognosis were not in the scope of our analysis. The Newcastle–Ottawa Scale was used for quality assessment. Ultimately, eight studies with a total of 12 542 390 participants were included. The pooled meta‐analysis using random effect model showed participants with MHO demonstrated a significantly increased risk of developing cancer (odds ratio [OR], 1.14; 95% confidence interval [CI], 1.05 to 1.23; and I2 = 39%) than those with MHNO. The subgroup analysis revealed a higher pooled estimate (OR, 1.17; 95% CI, 1.01–1.35; and I2 = 56%) in comparison with metabolically healthy normal weight. No evidence of effect modification by age, sex, ethnicity, smoking, sample size or length of follow‐up was found. In conclusion, the present study reports a positive association between MHO and cancer incidence. All individuals with obesity, even in the absence of metabolic dysfunction, should be encouraged to lose weight.  相似文献   

11.

Objective

Despite recent interest in differential impact of body size phenotypes on cardiovascular outcomes and mortality, studies evaluating the association between body size phenotypes and indicators of atherosclerosis are limited. This study investigated the relationship of metabolically abnormal but normal weight (MANW) and metabolically healthy but obese (MHO) individuals with arterial stiffness and carotid atherosclerosis in Korean adults without cardiovascular disease.

Methods

A total of 1012 participants (575 men and 437 women, mean age 50.8 years), who underwent a health examination between April 2012 and May 2013 were prospectively enrolled based on inclusion and exclusion criteria. Study subjects were classified according to body mass index (BMI) and the presence/absence of metabolic syndrome.

Results

The prevalence of metabolically healthy normal weight (MHNW), MANW, MHO, and metabolically abnormal obese (MAO) were 54.84%, 6.42%, 22.83%, and 15.91%, respectively. Individuals with MANW had significantly higher brachial-ankle pulse wave velocity and maximal carotid intima-media thickness values than those with MHO, after adjusting for age and gender (P = 0.026 and P = 0.018, respectively). The odds ratio (OR) of arterial stiffness and carotid atherosclerosis in the MANW group were significantly higher than in the MHNW group in unadjusted models. Furthermore, multivariable models showed that increased OR of carotid atherosclerosis in the MANW group persisted even after adjusting for confounding factors (OR = 2.98, 95% CI = [1.54, 5.73], P = 0.011).

Conclusions

Compared to MHNW or MHO subjects, Korean men and women with the MANW phenotype exhibited increased arterial stiffness and carotid atherosclerosis.

Clinical trials no

NCT01594710.  相似文献   

12.
ObjectiveThe pathogenesis of non-alcoholic fatty liver disease (NAFLD) involves multiple concomitant events induced by obesity and metabolic health condition. This study aimed to assess the risk of NAFLD according to metabolic health and obesity status using transient elastography (TE).Materials and MethodsA total of 2198 asymptomatic adults without chronic liver disease and who underwent a medical health check-up were recruited. Subjects were categorized into four groups according to metabolic health and obesity statuses: metabolically healthy non-obese (MHNO); metabolically unhealthy non-obese (MUNO); metabolically healthy obese (MHO); and metabolically unhealthy obese (MUO). Hepatic steatosis was defined as controlled attenuation parameter (CAP)  238 dB/m, and significant liver fibrosis was defined as liver stiffness measurement (LSM) > 7.0 kPa, as defined by TE.ResultsCompared with MHNO group, the odds ratios (ORs) [95% confidence interval (CI)] for hepatic steatosis were 2.94 [2.32–3.71], 4.62 [3.52–6.07], and 12.02 [9.08–15.92] in the MUNO, MHO, and MUO groups, respectively (P < 0.001) in crude model. Regarding liver fibrosis, there was no significant difference in the ORs in MUNO group (ORs: 0.95 [95% CI, 0.33–2.78], P value = 0.929), whereas there was a significant increase in the ORs in MHO group compared with MHNO group (ORs: 4.32 [95% CI, 1.73–10.76], P = 0.002) in the fully adjusted model.ConclusionOur results show that MHO was associated with both liver steatosis and fibrosis assessed by transient elastography. Our results suggest that a healthy metabolic profile does not protect obese adults from hepatic steatosis or fibrosis, indicating that obesity itself might contribute to liver fibrosis.  相似文献   

13.
BackgroundThe obesity and hepatocellular carcinoma (HCC) risk association may differ by individuals’ metabolic health status.AimTo investigate the association between obesity categories and HCC risk among individuals with different metabolic health phenotypes.MethodsA case-control study among 518 HCC cases and 1,036 frequency-matched controls was conducted. Body mass index (BMI) was assessed before diagnosis. Pre-diagnosis data on dyslipidemia, hypertension, and diabetes were used to categorize participants as metabolically healthy or metabolically unhealthy. Participants were further categorized into metabolically healthy normal weight (MHNW), metabolically healthy overweight (MHOW), metabolically healthy obese (MHO), metabolically unhealthy normal weight (MUNW), metabolically unhealthy overweight (MUOW), and metabolically unhealthy obese (MHO). We used logistic regression to calculate multivariable-adjusted odds ratios (ORs) and 95% confidence intervals (CIs).ResultsBeing overweight (OR=1.68, 95%CI=1.21–2.34) or obese (OR=1.49, 95%CI=1.11–1.89) was associated with higher HCC risk. Among metabolically healthy participants, no association was found between being overweight or obese and HCC risk. However, among the metabolically unhealthy participants, being overweight (OR=1.89, 95%CI=1.31–2.72) or obese (OR=1.50, 95%CI=1.07–2.09) was associated with higher HCC risk. Compared to the MHNW phenotype, no association was found between the MHOW and MHO phenotypes and HCC risk, but the MUNW (OR=1.94, 95%CI=1.09–3.43), MUOW (OR=3.78, 95%CI=2.15–6.65), and MUO (OR=2.93, 95%CI=1.70–5.05) phenotypes were associated with higher HCC risk.ConclusionThe association between BMI and HCC appears to be restricted to individuals with underlying metabolic abnormalities.  相似文献   

14.

Objective

Increased liver enzymes and decreased vitamin D levels are associated with insulin resistance and type 2 diabetes. We examined liver enzymes and vitamin D levels in metabolically healthy but obese (MHO) individuals and compared the values with those of other body size phenotypes in the Korean population.

Materials/Methods

A total of 16,190 people over the age of 18 years were analyzed using data from the Fourth Korean National Health and Nutrition Examination Survey, which is a nationally representative survey. Body size phenotypes were classified into four groups by body mass index (BMI) and number of metabolic syndrome components.

Results

The prevalence of MHO was 14.9% in the entire population and 47.7% in the obese population. In a correlation analysis adjusted for age, sex, and BMI, AST and ALT levels were positively correlated with insulin resistance and cardiometabolic risk factors of the metabolic syndrome, whereas vitamin D level was negatively correlated with these variables. MHO individuals had significantly lower concentrations of AST and ALT compared to metabolically abnormal obese (MAO) subjects, although vitamin D levels were not significantly different. Furthermore, a multiple logistic regression analysis revealed that MHO individuals had lower risk of liver enzyme abnormality compared to MAO after adjusting for potential confounding factors. However, the risk of vitamin D deficiency was not significantly different among groups with different body size phenotypes.

Conclusions

Although both liver enzymes and vitamin D levels are related to insulin resistance and metabolic syndrome, only liver enzymes were independently associated with MHO phenotype.  相似文献   

15.
Background and aimsTo examine associations between metabolically obese phenotypes or their changes and increased carotid intima-media thickness (CIMT).Methods and resultsThis prospective cohort included 13,681 Chinese adults aged 20–80 years who completed follow-up health examination with carotid ultrasound and were divided according to metabolic and weight status: metabolically healthy and normal weight (MHNW); metabolically obese but normal weight (MONW); metabolically healthy but obese (MHO); metabolically abnormal and obese (MAO). Cox and logistic regression were used to evaluate the associations of the phenotypes or their changes with increased CIMT.During a mean follow-up of 33 months, 1927 participants developed increased CIMT. After adjusting for age, sex and potential biochemical confounders, MAO was significantly associated with increased CIMT (HR 1.22, 95% CI [1.07, 1.4]); the association remained significant in those 40 years or older. Compared with stable MHNW, increased CIMT risk was higher for stable MAO (OR 1.35 [1.16, 1.57]), transitional MAO from MONW (OR 1.44 [1.04, 1.97]), and transitional MHO from MHNW (OR 1.59 [1.10, 2.26]) in demographic adjusted models; only stable MAO remained significant in the multivariate adjusted model (OR 1.23 [1.05, 1.45]).ConclusionMAO significantly elevated the risk of increased CIMT. Stable MAO and obese transitions also promoted CIMT progression.  相似文献   

16.
目的探讨在40岁以上的中国社区人群中,代谢健康型肥胖与动脉粥样硬化患病风险的相关性。方法来自上海嘉定社区共9525名不伴有心血管疾病的居民(男性3621名、女性5904名)参与了本项研究。每位参与者均完成了调查问卷、体格检查[包括肱踝脉搏波传导速度(brachial-ankle pulse wave velocity,baPWV)和血压(blood pressure,BP)的测量],以及实验室检查。根据体重指数(body mass index,BMI)和代谢水平,将参与者分为4组,分别是代谢健康型非肥胖(metabolically healthy non-obese,MHNO)、代谢不健康型非肥胖(metabolically unhealthy non-obese,MUNO)、代谢健康型肥胖(metabolically healthy obese,MHO)和代谢不健康型肥胖(metabolically unhealthy obese,MUO)。baPWV>1400 mm/s被定义为高baPWV水平,脉压差(pulse pressure,PP)高于人群上四分位数被定义为高PP水平。利用多元logistic回归分析模型探究MHO与高baPWV水平以及高PP水平之间的相关性。结果多元logistic回归分析显示,在校正性别、年龄、当前吸烟、当前饮酒及受教育程度之后,与MHNO组比较,MHO组人群与高baPWV水平(OR=1.18,95%CI 1.02~1.37)和高PP水平(OR=1.72,95%CI 1.43~2.08)有显著相关性。另外,MUNO和MUO组人群的高baPWV水平(MUNO为OR=3.02,95%CI 2.60~3.50;MUO为OR=3.26,95%CI 2.87~3.70)和高PP水平(MUNO为OR=2.56,95%CI 2.17~3.02;MUO为OR=3.49,95%CI 3.01~4.06)患病风险显著升高。结论中国社区中老年人群中,MHO与动脉粥样硬化患病风险升高有显著相关性。  相似文献   

17.

Background and aims

Persons with “metabolically healthy” obesity may develop cardiometabolic complications at a lower rate than equally obese persons with evident metabolic syndrome. Even morbidly obese individuals vary in risk profile. Persistent organic pollutants (POPs) are widespread environmental chemicals that impair metabolic homeostasis. We explored whether prevalence of metabolic syndrome in morbidly obese individuals is associated with serum concentrations of POPs.

Methods and results

A cross-sectional study among 161 men and 270 women with BMI >35 kg/m2 and comorbidity, or >40 kg/m2. Circulating concentrations of 15 POPs were stratified by number of metabolic syndrome components. In multiple logistic regression analysis odds ratios between top quartile POPs and metabolic risk factors versus POPs below the top quartile were calculated adjusting for age, gender, body mass index, smoking status, alcohol consumption and cholesterol concentrations. Age-adjusted concentrations of trans-nonachlor and dioxin-like and non-dioxin-like polychlorinated biphenyls (PCBs) increased with number of metabolic syndrome components in both genders (p < 0.001), while the organochlorine pesticides HCB, β-HCH and p,p’DDE increased only in women (p < 0.008). Organochlorine pesticides in the top quartile were associated with metabolic syndrome as were dioxin-like and non-dioxin-like PCBs (OR 2.3 [95% CI 1.3–4.0]; OR 2.5 [95% CI 1.3–4.8] and 2.0 [95% CI 1.1–3.8], respectively). Organochlorine pesticides were associated with HDL cholesterol and glucose (OR = 2.0 [95% CI = 1.1–3.4]; 2.4 [95% CI = 1.4–4.0], respectively). Dioxin-like PCBs were associated with diastolic blood pressure, glucose and homeostatic model assessment-insulin resistance index (OR = 2.0 [95% CI = 1.1–3.6], 2.1 [95% CI = 1.2–3.6] and 2.1 [95% CI = 1.0–4.3], respectively).

Conclusion

In subjects with morbid obesity, metabolic syndrome was related to circulating levels of organochlorine pesticides and PCBs suggesting that these compounds aggravate clinically relevant complications of obesity.  相似文献   

18.
Backgrounds and aimsWhether obesity increases risk of cardiovascular disease (CVD) and fatty liver because of the co-existence of other risk factors is uncertain. We investigated odds ratios (ORs) for: a) a measure of pre-clinical atherosclerosis and b) fatty liver, in metabolically healthy obese (MHO) subjects, metabolically abnormal obese (MAO) subjects and metabolically abnormal non obese subjects (MANO), using a metabolically healthy non obese (MHNO) group as the reference.Methods and results14,384 South Koreans from an occupational cohort underwent cardiac computed tomography (CT) estimation of CAC score, liver ultrasound determination of fatty liver, and measurement of cardiovascular risk factors. Pre-clinical atherosclerosis was defined by a CAC score >0. We used logistic regression to determine ORs for CAC >0, and fatty liver in MHO, MAO and MANO subjects (reference group MHNO). There was no increase in OR for CAC score >0 (OR = 0.93, [95% CIs 0.67,1.31], p = 0.68), in the MHO group, whereas there was an increase in the ORs for CAC score >0 in the MAO, and MANO groups (OR = 1.64 [95% CI 1.36,1.98], p < 0.001) and (OR = 1.38 [95% CI 1.17,1.64], p < 0.001), respectively. In contrast, for fatty liver, there was an increase in OR in each group (OR = 3.63 [95% CI 3.06, 4.31] p < 0.001); (OR = 5.89 [5.18,6.70] p < 0.001); and (OR = 1.83 [95% CI 1.69,2.08]) in the MHO, MAO group and MANO groups respectively.ConclusionMHO subjects are at risk of fatty liver but attenuated risk of pre-clinical atherosclerosis. Both MAO and MANO subjects are at risk of fatty liver and pre-clinical atherosclerosis.  相似文献   

19.
BackgroundEpidemiologic evidence on metabolically healthy obese (MHO) phenotype and cardiovascular diseases (CVD) risk remains controversial.AimsWe aim to examine the relationship between MHO and risk of CVD among the Chinese population.MethodsThe China Health and Retirement Longitudinal Study is a prospective cohort study of 7849 participants aged ≥45 years without CVD at baseline. Metabolic health status was assessed based on blood pressure, triglycerides, high-density lipoprotein cholesterol, glycated hemoglobin, fasting glucose, and C-reactive protein. A cutoff point of body mass index of 24.0 kg/m2 was used to define over-weight/obesity (≥24.0 kg/m2) or normal weight (<24.0 kg/m2). CVD was based on self-reported doctor’s diagnosis of heart problems and stroke. Incidence rate ratio (IRR) with 95% confidence interval (CI) was deduced from modified Poisson regression.ResultsDuring a mean 3.6 years of follow-up, 880 incident CVD events were recorded. 789 (10.05%) were identified MHO among 3321 (42.3%) obese individuals. Compared with metabolically healthy normal weight individuals, the multivariable adjusted IRR of CVD was 1.33 (95%CI: 1.19–1.49) for MHO, 1.29 (95%CI: 1.22–1.38) for metabolically unhealthy normal weight, and 1.61 (95%CI: 1.51–1.75) for metabolically unhealthy obese in the full adjusted model.ConclusionsMHO individuals are associated with the increased risk of cardiovascular diseases among the Chinese population.  相似文献   

20.

Background

Little is known about the resource use and cost burden of acute myocardial infarction (AMI) beyond the index event. We examined resource use and care costs during the first and each subsequent year, among patients with incident AMI.

Methods

Patients aged ≥18 years who were admitted with incident AMI at emergency departments or hospitals in Alberta, Canada, between April 2004 and March 2014 were included. Incident cases were defined as those without an AMI hospitalization in the previous 10 years. Inpatient, outpatient, practitioner claims, drug claims, and vital statistics were linked and follow-up data were available until March 2016. Resource use and care costs per patient for each year after the AMI were calculated.

Results

The analysis included 41,210 patients with incident AMI (non–ST-segment elevation myocardial infarction [NSTEMI] = 50.8%, ST-segment elevation myocardial infarction = 36.8%, and undefined myocardial infarction [MI] = 12.5%). Resource use and care costs were highest during the first year. Compared with other MI groups, patients with ST-segment elevation myocardial infarction had more frequent outpatient visits (mean 1.64 vs 0.99 [NSTEMI] and 0.87 [undefined MI] visits) but spent fewer days in hospital (mean 7.72 vs 9.23 [NSTEMI] and 8.5 [undefined MI] days) during the first year. AMI costs were $19,842 during the first year and $845 per year for the next 5 years. Hospitalization costs accounted for the majority of costs during the first year (81.1%), whereas drug costs did for the next 5 years (62.1%).

Conclusions

The long-term annual cost burden of AMI is modest compared with care costs during the first year. Although hospitalization dominates first year costs, pharmaceuticals do so in the long term.  相似文献   

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