The obesity paradox for outcomes in atrial fibrillation: Evidence from an exposure‐effect analysis of prospective studies

The impact of obesity on the prognosis of atrial fibrillation (AF) remains controversial. We conducted an exposure‐effect meta‐analysis of prospective studies to clarify the relationship between body mass index (BMI) and outcomes in patients with AF. The Cochrane Library, PubMed, and Embase databases were searched through May 1, 2019. Summary relative risks (RRs) were calculated using random‐effects models. Nonlinear associations were explored using restricted cubic spline models. Twenty publications involving 161,922 individuals were included. Categorical variable analysis showed that underweight was associated with an increased risk of all‐cause mortality (RR: 2.6), cardiovascular death (RR: 2.91), major bleeding (RR: 1.57), stroke or systemic embolism (RR: 1.62), and a composite endpoint (RR: 2.23). In exposure‐effect analysis, the risk per 5 BMI increase was reduced for adverse outcomes (RR=0.86, 95% CI: 0.80‐0.92 for all‐cause death; RR=0.82, 95% CI: 0.71‐0.95 for cardiovascular death; RR=0.89, 95% CI: 0.84‐0.95 for stroke or systemic embolism; and RR=0.78, 95% CI: 0.67‐0.92 for a composite endpoint). There was a significant “U”‐shaped exposure‐effect relationship with all‐cause death, and the nadir of the curve was observed at a BMI of approximately 28. Our results showed that underweight is associated with a worse prognosis, but that overweight and obesity are associated with improved adverse outcomes in patients with AF.     

Plasma procalcitonin and the risk of cardiovascular events and death: a prospective population‐based study

Abstract. Schiopu A, Hedblad B, Engström G, Struck J, Morgenthaler NG, Melander O (Lund University, Skåne University Hospital Malmö, Malmö, Sweden; BRAHMS GmbH/Thermo Fisher Scientific, Hennigsdorf, Germany). Plasma procalcitonin and the risk of cardiovascular events and death: a prospective population‐based study. J Intern Med 2012; 272: 484–491. Objectives: A number of inflammatory biomarkers such as C‐reactive protein (CRP) are independent predictors of cardiovascular risk. The inflammatory biomarker procalcitonin (PCT) has previously been shown to be associated with coronary atherosclerosis and the metabolic syndrome. We evaluated the ability of PCT to predict future cardiovascular events in a population of apparently healthy individuals. Design: We measured plasma PCT levels in 3713 subjects with no previous history of cardiovascular disease, randomly selected from the Malmö Diet and Cancer cohort. The correlation between PCT concentration and the incidence of coronary events, stroke and cardiovascular death over a median follow‐up period of 13.7 years was studied using a Cox regression analysis corrected for age, sex, CRP level, traditional risk factors and renal function. Results: Age and sex were strong determinants of PCT; the concentration of PCT was significantly higher in men than in women. PCT was associated with several of the established cardiovascular risk factors (CRP, hypertension, diabetes and renal function) as determined by multivariate linear regression. Of note, PCT was inversely correlated with HDL and smoking. We found significant correlations between PCT levels, coronary events and cardiovascular death. However, these relationships lost statistical significance when the analysis was corrected for CRP and the traditional risk factors. Conclusions: This is the largest population‐based prospective study to demonstrate a positive association between plasma PCT levels and cardiovascular risk in subjects with no previous history of acute cardiovascular events. However, the high degree of covariation between PCT and other cardiovascular risk factors limits the value of PCT as an independent cardiovascular risk predictor.     

Waist circumference cut-off points for identification of abdominal obesity among the tunisian adult population

AIMS: Waist circumference (WC) is a convenient measure of abdominal adipose tissue. It itself is a cardiovascular disease (CVD) and diabetes-risk factor and is strongly linked to other CVD risk factors. There are, however, ethnic differences in the relationship of WC to the other risk factors. The aim of this study was to determine the optimal cut-off points of WC and body mass index (BMI) at which cardiovascular risk factors can be identified with maximum sensitivity and specificity in a representative sample of the Tunisian adult population and to investigate any correlation between WC and BMI. METHODS: We used a sample of the Tunisian National Nutrition Survey, a cross-sectional population-based survey, conducted in 1996 on a large nationally representative sample, which included 3435 adults (1244 men and 2191 women) of 20 years or older. WC, BMI, blood pressure and fasting blood measurements (plasma glucose, total cholesterol, triglycerides) were recorded. Receiver operating characteristic (ROC) curve analysis was used to identify optimal cut-off values of WC and BMI to identify with maximum sensitivity and specificity the detection of high blood pressure, hyperglycaemia, high blood cholesterol and hypertriglyceridaemia. RESULTS: ROC curve analysis suggested WC cut-off points of 85 cm in men and 85 cm in women for the optimum detection of high blood pressure, diabetes and dyslipidaemia. The optimum BMI cut-off points for predicting cardiovascular risk factors were 24 kg/m(2) in men and 27 kg/m(2) in women. The cut-off points recommended for the Caucasian population differ from those appropriate for the Tunisian population. The data show a continuous increase in odds ratios of each cardiovascular risk factor, with increasing level of WC and BMI. WC exceeding 85 cm in men and 79 cm in women correctly identified subjects with a BMI of >/=25 kg/m(2), sensitivity of >90% and specificity of >83%. CONCLUSIONS: Based on the ROC analysis, we suggest a WC of 85 cm for both men and women as appropriate cut-off points to identify central obesity for the purposes of CVD and diabetes-risk detection among Tunisians. WCs of 85 cm in men and 79 cm in women were the most sensitive and specific to identify most subjects with a BMI >/=25 kg/m(2).     

Role of age,sex, and obesity in the higher prevalence of arthritis among lower socioeconomic groups: A population‐based survey

Objective

To compare the prevalence of arthritis among population groups based on demographic, socioeconomic, and body mass index (BMI) characteristics; to investigate the combined influence of these factors on arthritis; and to assess the relationship between self‐reported health and psychological distress and arthritis.

Methods

Data from the Victorian Population Health Survey (n = 7,500) were used in the study. Psychological distress was assessed using the Kessler Psychological Distress scale, and self‐reported health was assessed by a single item. Multiple logistic regression was used to investigate the combined influence of demographic and socioeconomic factors and BMI on arthritis.

Results

Overall, 23% of Victorian adults (20% men and 26% women) reported having arthritis. The presence of arthritis was associated with high psychological distress (odds ratio [OR] 1.2; 95% confidence interval [95% CI] 1.1–1.4) and poor self‐reported health (OR 1.9; 95% CI 1.7–2.1). Increased prevalence of arthritis was found in older age groups, lower education and income groups, and in people who were overweight or obese. Women had higher risk of arthritis, even after adjustment for age, residence, education, occupation, income, and BMI. Age and BMI independently predicted arthritis for men and women. For men, higher risk of arthritis was also associated with lower income.

Conclusion

Arthritis is a highly prevalent condition associated with poor health and high psychological distress. Prevalence of arthritis is disproportionately high among women and individuals from lower socioeconomic backgrounds. As the prevalence of arthritis is predicted to increase, careful consideration of causal factors, and setting priorities for resource allocation for the treatment and prevention of arthritis are required.     

The burden of overweight and obesity in the Asia–Pacific region

The rise in the prevalence of overweight and obesity (body mass index ≥25 kg m⁻²) is, in part, a negative consequence of the increasing economic developments of many lower‐ and middle‐income countries in the Asia–Pacific region. To date, there has been no systematic quantification of the scale of the problem in countries of this region. From the most recent nationally representative estimates for the prevalence of overweight and obesity in 14 countries of the region, it is apparent that overweight and obesity is endemic in much of the region, prevalence ranging from less than 5% in India to 60% in Australia. Moreover, although the prevalence in China is a third of that in Australia, the increase in prevalence in China over the last 20 years was 400% compared with 20% in Australia. In addition, across various countries in the region, the population attributable fractions because of overweight and obesity ranged from 0.8% to 9.2% for coronary heart disease mortality, 0.2% to 2.9% for haemorrhagic stroke mortality, and 0.9% to 10.2% for ischaemic stroke mortality. These results indicate that consequences of overweight and obesity for health and the economy of many of these countries are likely to increase in coming years.     

1372例社区老年人群超重及肥胖的现况调查

目的 了解顺德地区老年人群超重及肥胖的现况.方法 在佛山市顺德区容桂街道整群随机抽取2个村中年龄≥60岁的常住人口调查,总人数1503例,最终入选资料完整的1372例,男性570例,女性802例,60～69岁857例,70～79岁416例,≥80岁99例.调查入选者年龄、性别、身高、体重、腰围、臀围、空腹血糖(FPG)...     

Metabolically healthy obesity and risk of incident type 2 diabetes: a meta‐analysis of prospective cohort studies

The risk of type 2 diabetes among obese adults who are metabolically healthy has not been established. We systematically searched Medline (1946–August 2013) and Embase (1947–August 2013) for prospective studies of type 2 diabetes incidence (defined by blood glucose levels or self‐report) among metabolically healthy obese adults (defined by body mass index [BMI] and normal cardiometabolic clustering, insulin profile or risk score) aged ≥18 years at baseline. We supplemented the analysis with an original effect estimate from the English Longitudinal Study of Ageing (ELSA), with metabolically healthy obesity defined as BMI ≥ 30 kg m^?2 and <2 of hypertension, impaired glycaemic control, systemic inflammation, adverse high‐density lipoprotein cholesterol and adverse triglycerides. Estimates from seven published studies and ELSA were pooled using random effects meta‐analyses (1,770 healthy obese participants; 98 type 2 diabetes cases). The pooled adjusted relative risk (RR) for incident type 2 diabetes was 4.03 (95% confidence interval = 2.66–6.09) in healthy obese adults and 8.93 (6.86–11.62) in unhealthy obese compared with healthy normal‐weight adults. Although there was between‐study heterogeneity in the size of effects (I² = 49.8%; P = 0.03), RR for healthy obesity exceeded one in every study, indicating a consistently increased risk across study populations. Metabolically healthy obese adults show a substantially increased risk of developing type 2 diabetes compared with metabolically healthy normal‐weight adults. Prospective evidence does not indicate that healthy obesity is a harmless condition.     

Microbiome‐immune‐metabolic axis in the epidemic of childhood obesity: Evidence and opportunities

Obesity epidemic responsible for increase in diabetes, heart diseases, infections and cancer shows no signs of abating. Obesity in children is also on rise, indicating the urgent need of strategies for prevention and intervention that must begin in early life. While originally posited that obesity results from the simple concept of consuming more calories, or genetics, emerging research suggests that the bacteria living in our gut (gut microbiome) and its interactions with immune cells and metabolic organs including adipose tissues (microbiome‐immune‐metabolic axis) play significant role in obesity development in childhood. Specifically, abnormal changes (dysbiosis) in the gut microbiome, stimulation of inflammatory cytokines, and shifts in the metabolic functions of brown adipose tissue and the browning of white adipose tissue are associated with increased obesity. Many factors from as early as gestation appear to contribute in obesity, such as maternal health, diet, antibiotic use by mother and/or child, and birth and feeding methods. Herein, using evidence from animal and human studies, we discuss how these factors impact microbiome‐immune‐metabolic axis and cause obesity epidemic in children, and describe the gaps in knowledge that are warranted for future research.     

1677例老干部向心性肥胖和心血管病危险因素的关系

目的　调查分析军队退休老干部群体向心性肥胖及其与心血管病危险因素的关系。方法　根据计划方案对成都地区 6 0岁以上军队退休老干部进行病史询问和体格检查 ,获得完整资料 16 77份。对腰围和体重指数 (BMI)、高血压、糖尿病、高胆固醇血症、高甘油三酯血症等心血管病危险因素进行分析。结果　BMI在男性和女性分别为2 4 .4 2± 3.0 4和 2 3.97± 3.12 (P >0 .0 5 )。腰围在男性和女性分别为 (83.79± 8.34)cm和 (78.4 3± 7.89)cm(P <0 .0 0 1) ,并呈现随年龄增长而增大的趋势。腰围过大者占总体的 4 7.88% ;腰围与BMI正相关 ,但 2 9.5 2 %的腰围过大者其BMI<2 5 ;对腰围进行分层处理后 ,可见除高胆固醇以外 ,各危险因素及危险因素聚集 (具有 2个及以上危险因素 )的检出率随腰围的增大而逐渐上升 ,呈密切的正相关。结论　军队退休老干部反映向心性肥胖的指标———腰围与心血管病危险因素及其分布情况密切相关     

Causation or selection – examining the relation between education and overweight/obesity in prospective observational studies: a meta‐analysis

Numerous studies have investigated the association between education and overweight/obesity. Yet less is known about the relative importance of causation (i.e. the influence of education on risks of overweight/obesity) and selection (i.e. the influence of overweight/obesity on the likelihood to attain education) hypotheses. A systematic review was performed to assess the linkage between education and overweight/obesity in prospective studies in general populations. Studies were searched within five databases, and study quality was appraised with the Newcastle–Ottawa scale. In total, 31 studies were considered for meta‐analysis. Regarding causation (24 studies), the lower educated had a higher likelihood (odds ratio: 1.33, 1.21–1.47) and greater risk (risk ratio: 1.34, 1.08–1.66) for overweight/obesity, when compared with the higher educated. However, these associations were no longer statistically significant when accounting for publication bias. Concerning selection (seven studies), overweight/obese individuals had a greater likelihood of lower education (odds ratio: 1.57, 1.10–2.25), when contrasted with the non‐overweight or non‐obese. Subgroup analyses were performed by stratifying meta‐analyses upon different factors. Relationships between education and overweight/obesity were affected by study region, age groups, gender and observation period. In conclusion, it is necessary to consider both causation and selection processes in order to tackle educational inequalities in obesity appropriately.