南京市城区40岁以上人群超重、肥胖流行特点调查分析

目的 了解南京市城区年龄≥40岁的中老年人超重、肥胖的流行特点,并分析肥胖人群多种代谢性疾病患病率情况.方法 采用随机抽样方法,对南京市城区6个社区40～79岁的居民进行问卷调查、体格检查及生化检测.共调查9696人,剔除信息不全334人,最终共9362人纳入统计分析,男性3204人(占34.2％),女性6158人(占65.8％).按照《中国成人超重和肥胖预防控制指南》标准,体重指数≥28.0 kg/m2为肥胖,24.0～27.9 kg/m2为超重.对不同性别、年龄组人群超重、肥胖率进行比较分析.结果 总的超重率41.0％,男性高于女性(43.91％vs.39.48％,x2=17.01,P＜0.001).总的肥胖率16.79％,其中男性为16.73％,女性为16.82％,差异无统计学意义(P＞0.05).受教育程度较低的人群肥胖率高于受教育程度较高人群(x2=47.95,P＜0.001).与正常体重人群比较,肥胖人群糖尿病、高血压、高胆固醇血症、高甘油三酯血症、低密度脂蛋白-胆固醇升高、高密度脂蛋白-胆固醇降低发生率明显增加(x2值分别为42.02,641.88,9.58,236.08,13.24,138.82,P均＜0.001).结论 南京市城区40岁以上人群超重和肥胖发生率高,肥胖人群糖尿病、高血压、血脂异常的发生率明显增加.     

Association of metabolic health phenotypes,obesity, and hepatocellular carcinoma risk

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.     

Variations in the pattern and distribution of non-obese components of metabolic syndrome across different obesity phenotypes among Iranian adults' population

AimsTo investigate the association of obesity phenotypes with non-obese components of metabolic syndrome (MetS) by considering the presence of general adiposity and central obesity.MethodsWe analyzed the data of population-based cross-sectional study of 981 adults’ individuals who were community dwelling in urban population of Babol, the north of Iran. The demographic characteristics and anthropometric measures and hypertension were collected with standard method by trained nurses. The fasting blood sugar, CHL, TG, HDL-C and LDL-C were measured by enzymatic method. The presence of cardiometabolic risk factors were analyzed according to the combination of obesity phenotypes either overweight/obese or central obese. The logistic regression model was used to calculate the adjusted odds ratio (OR) of obesity phenotypes in compared with normal weight not central obese in association of presence of metabolic abnormality.ResultsThe 394 (40.6%) individuals were both overweight/obese and central obese and 295 (30.1%) persons were “normal weight not central obese” and the minority 28(2.9%) were normal weight but central obese and the remainder 260 (26.5%) were “overweight/obese not central obese”. Overweight/obese not central obese increased significantly the odds of presence of ≥2 non-obese components of metabolic abnormality by 2.17 times (95%CI OR: 1.51, 3.13) but the OR was elevated for the joint phenotypes of overweight/obese and central obese (OR = 4.16 (95%CI: 2.85, 6.06) as compare with normal weight not central obese.ConclusionsOverweight/obese alone increased the risk of cardiometabolic abnormality but being overweight/obese and central obese a further elevated the risk compared with “normal weight not central obese”.     

Overweight and obesity and the burden of disease and disability in elderly men

OBJECTIVE: To examine the prevalence of disease burden and disability associated with overweight and obesity in men aged 60-79 y and to assess whether the current WHO weight guidelines are appropriate in the elderly. DESIGN: Cross-sectional survey 20 y after enrollment. SETTING: General practices in 24 British towns. PARTICIPANTS: In total, 4232 men aged 60-79 y (77% of survivors) with measured weight and height. MAIN OUTCOME MEASURES: Cardiovascular (CV) risk factors, prevalence of diabetes, cardiovascular disease, cancer, disability and regular medication. RESULTS: In total, 17% of the men were obese (body mass index (BMI) >/=30 kg/m(2)) and a further 52% were overweight (BMI 25-29.9 kg/m(2)). Prevalence of hypertension, low HDL-cholesterol, high triglycerides and insulin resistance and the prevalence of most disease outcomes increased with increasing degrees of overweight/obesity. Men in the normal weight range (18.5-24.9 kg/m(2)) had the lowest prevalence of ill health. Compared with normal weight men, obese men showed a two-fold risk of major CVD (odds ratio (OR)=1.96, 95% CI 1.44-2.67) and locomotor disability (OR=2.26, 95% CI 1.66, 3.09) and were nearly three times as likely to have diabetes, CV interventions or to be on CV medication. Over 60% of the prevalence of high insulin resistance was attributable to overweight and obesity as was over a third of diabetes and hypertension, a quarter of locomotor disability and a fifth of major CVD. CONCLUSION: In elderly men, overweight and obesity are associated with a significantly increased burden of disease, in particular CV-related disorders and disability. The current guidelines for overweight and obesity appear to be appropriate in elderly men.     

Overweight and obesity: a major challenge for coronary heart disease secondary prevention in clinical practice in Europe.

AIMS: To evaluate the management of overweight and obesity in coronary artery disease patients in Europe. METHODS AND RESULTS: The EUROASPIRE Study is a multicentre epidemiological study involving nine European countries. The major cardiovascular risk factors and their management were collected from hospital records and measured at least 6 months after hospitalization during a specific interview. A total of 4863 consecutive records from men and women with coronary artery disease, under 71 years of age, were reviewed. Interviews were obtained for 3569 (73%). Body mass index was computed from height and weight noted in the medical records and measured at interview. Management of overweight and obesity was recorded at interview. At least 6 months after hospitalization, 75% of women and 80% of men were overweight and 33% of women and 23% of men were obese. Height noted in medical records was over-estimated, inducing an under-estimation of obesity in 16% of men and 33% of women. Advice from a nutritionist was offered in less than 20% of obese patients. The same trends were observed in all participating countries. CONCLUSIONS: Prevalences of overweight and obesity are high in coronary artery disease patients in Europe. A systematic measurement of height and weight is a prerequisite to a better management of this common modifiable risk factor.     

Obesity and iron deficiency: a quantitative meta‐analysis

Hypoferraemia (i.e. iron deficiency) was initially reported among obese individuals several decades ago; however, whether obesity and iron deficiency are correlated remains unclear. Here, we evaluated the putative association between obesity and iron deficiency by assessing the concentration of haematological iron markers and the risks associated with iron deficiency in both obese (including overweight) subjects and non‐overweight participants. We performed a systematic search in the databases PubMed and Embase for relevant research articles published through December 2014. A total of 26 cross‐sectional and case–control studies were analysed, comprising 13,393 overweight/obese individuals and 26,621 non‐overweight participants. Weighted or standardized mean differences of blood iron markers and odds ratio (OR) of iron deficiency were compared between the overweight/obese participants and the non‐overweight participants using a random‐effects model. Compared with the non‐overweight participants, the overweight/obese participants had lower serum iron concentrations (weighted mean difference [WMD]: ?8.37 μg dL^?1; 95% confidence interval [CI]: ?11.38 to ?5.36 μg dL^?1) and lower transferrin saturation percentages (WMD: 2.34%, 95% CI: ?3.29% to ?1.40%). Consistent with this finding, the overweight/obese participants had a significantly increased risk of iron deficiency (OR: 1.31; 95% CI: 1.01–1.68). Moreover, subgroup analyses revealed that the method used to diagnose iron deficiency can have a critical effect on the results of the association test; specifically, we found a significant correlation between iron deficiency and obesity in studies without a ferritin‐based diagnosis, but not in studies that used a ferritin‐based diagnosis. Based upon these findings, we concluded that obesity is significantly associated with iron deficiency, and we recommend early monitoring and treatment of iron deficiency in overweight and obese individuals. Future longitudinal studies will help to test whether causal relationship exists between obesity and iron deficiency.     

Recognition and management of overweight and obesity in primary care in Germany

BACKGROUND: In contrast to the well-documented high prevalence of overweight and obesity in the general population, the prevalence, recognition rates and management by primary care physicians--as the core gatekeeper in the health care system--remains poorly studied. PURPOSE OF THE STUDY: To examine (1) the point prevalence of overweight (BMI 25.0-29.9 kg/m(2)) and obesity (BMI> or =30 kg/m(2)) in primary care patients, (2) prevalence patterns in patients with high-risk constellations (diabetes, hypertension, cardiovascular disease, etc.), (3) doctors' recognition and interventions, as well as patients' use and perceived effectiveness of weight-loss interventions and (4) factors associated with non-treatment. METHODS: Cross-sectional point prevalence study of 45 125 unselected consecutive primary care attendees recruited from a representative nationwide sample of 1912 primary care practices. Measures: (1) standardized clinical appraisal of each patient by the physician (diagnostic status and recognition, severity, comorbidity, current and past interventions). (2) Patient self-report questionnaire: height and weight, illness history, past and current treatments and their perceived effectiveness, health attitudes and behaviors. RESULTS: (1) In all, 37.9% of all primary care attendees were overweight, 19.4% obese. (2) Rates for overweight and obesity were highest in patients with diabetes (43.6 and 36.7%) and hypertension (46.1 and 31.3%), followed by patients with cardiovascular disorders. Rates of overweight/obesity increased steadily by the number of comorbid conditions. (3) Doctors' recognition of overweight (20-30%) and obesity (50-65%) was low, patients' actual use of weight control interventions even lower (past 12 months: 8-11%, lifetime: 32-39%). Patient success rates were quite limited. (4) Co- and multimorbidity in particular as well as other patient and illness variables were identified as predictors for recognition, but prediction of patients' actual use of weight loss interventions was limited. CONCLUSIONS: Primary care management of overweight and obesity is largely deficient, predominantly due to four interrelated factors: doctors' poor recognition of patients' weight status, doctors' inefficient efforts at intervention, patients' poor acceptance of such interventions and dissatisfaction with existing life-style modification strategies.     

Long-period accelerometer monitoring shows the role of physical activity in overweight and obesity

CONTEXT: Physical activity (PA) plays an important role in obesity. A new accelerometer has been developed to assess total energy expenditure as well as PA. OBJECTIVE: To investigate the association of PA with overweight and obesity in Japanese men and women, a large cross-sectional study was performed using a single-axis accelerometer. DESIGN, SETTING AND PARTICIPANTS: Population-based cross-sectional study of Japanese 18-84 y of age. Height, body weight and PA were measured in 400 male and 388 female Japanese volunteers from 1999 to 2000. The outcome measurements were overweight and obesity, which are defined as a body mass index >/=25 kg/m(2). PA was measured for 1 to 4 weeks and was then categorized into three activity levels, which were defined as light, moderate and vigorous PA. RESULTS: Prevalence of overweight and obesity was 22.3%. Number of steps and time spent in moderate and vigorous PA per day were lower in overweight and obese individuals. No difference was found in time spent in light PA. Individuals who are in the 4th and 5th quintile of moderate and vigorous PA showed a significantly lower body mass index. When odd ratios (ORs) of overweight and obesity estimated by logistic regression were used as effect measures, overweight and obesity were negatively associated with vigorous PA (ORs=0.91). CONCLUSION: These results indicate that overweight and obese individuals have a lower step rate and are spending less time for moderate to vigorous PA. Participation in vigorous PA is an important predictor of overweight and obesity.     

Rates of psychiatric disorders in a clinical study group of adolescents with extreme obesity and in obese adolescents ascertained via a population based study

OBJECTIVE: To compare rates of DSM-IV psychiatric disorders between (1) a clinical study group of extremely obese adolescents and young adults, (2) gender-matched population-based obese controls and (3) a population-based control group of the same age range. DESIGN: Rates of psychiatric disorders were assessed in (1) the clinical study group of obese adolescents and (2) the population based sample of obese adolescents, and compared to (3) a large population-based control group using a standardized psychiatric interview. SUBJECTS: (1) Clinical study group: 30 female and 17 male extremely obese adolescents and young adults (age range: 15-21 y; mean BMI:42.4 kg/m2). (2) Thirty females and 17 males with the highest BMI (age range 15-21 y; mean BMI: 29.8 kg/m2) of a population-based control group encompassing 1655 (805 males) adolescents and young adults. (3) The population based control group excluding the 30 females and 17 males with the highest BMI (n = 1608; 788 males). MEASUREMENTS: Munich-Composite International Diagnostic Interview (M-CIDI) allowing for DSM-IV diagnoses. RESULTS: High rates of mood, anxiety, somatoform and eating disorders were detected in the clinical sample of obese adolescents which exceeded those observed in population controls (all P-values < 0.01). Rates between population-based obese adolescents and young adults and population controls did not differ. In most patients the psychiatric disorders set in after onset of obesity. 57% and 35% of the female and male patients, respectively, reported eating binges with lack of control. However, less than one-half of these patients qualified for a DSM-IV diagnosis of an eating disorder. CONCLUSIONS: Extremely obese adolescents and young adults who seek long-term inpatient treatment have a high lifetime prevalence for affective, anxiety, somatoform and eating disorders. Because the mean BMI of the clinical study group was considerably higher than that of the obese population controls, we were not able to clarify whether the high rate of psychopathology in the study group was related to the extreme obesity or to their treatment-seeking behavior.     

Health correlates of overweight and obesity in adults aged 50 years and over: results from the Survey of Health, Ageing and Retirement in Europe (SHARE). Obesity and health in Europeans aged > or = 50 years

QUESTIONS UNDER STUDY: To examine the association between overweight/obesity and several self-reported chronic diseases, symptoms and disability measures. METHODS: Data from eleven European countries participating in the Survey of Health, Ageing and Retirement in Europe were used. 18,584 non-institutionalised individuals aged 50 years and over with BMI > or = 18.5 (kg/m2) were included. BMI was categorized into normal weight (BMI 18.5-24.9), overweight (BMI 25.0-29.9) and obesity (BMI > or = 30). Dependent variables were 13 diagnosed chronic conditions, 11 health complaints, subjective health and physical disability measures. For both genders, multiple logistic regressions were performed adjusting for age, socioeconomic status and behaviour risks. RESULTS: The odds ratios for high blood pressure, high cholesterol, diabetes, arthritis, joint pain and swollen legs were significantly increased for overweight and obese adults. Compared to normal-weight individuals, the odds ratio (OR) for reporting > or = 2 chronic diseases was 2.4 (95% CI 1.9-2.9) for obese men and 2.7 (95% CI 2.2-3.1) for obese women. Overweight and obese women were more likely to report health symptoms. Obesity in men (OR 0.5, 95% CI 0.4-0.6), and overweight (OR 0.5, 95% CI 0.4-0.6) and obesity (OR 0.4, 95% CI 0.3-0.5) in women, were associated with poorer subjective health (i.e. a decreased risk of reporting excellent, very good or good subjective health). Disability outcomes were those showing the greatest differences in strength of association across BMI categories, and between genders. For example, the OR for any difficulty in walking 100 metres was non-significant at 0.8 for overweight men, at 1.9 (95% CI 1.3-2.7) for obese men, at 1.4 (95% CI 1.1-1.8) for overweight women, and at 3.5 (95% CI 2.6-4.7) for obese women. CONCLUSIONS: These results highlight the impact of increased BMI on morbidity and disability. Healthcare stakeholders of the participating countries should be aware of the substantial burden that obesity places on the general health and autonomy of adults aged over 50.     

Overweight and obesity in patients with established coronary heart disease: are we meeting the challenge?

AIMS: Several epidemiological studies have reported increasing obesity rates in the general population during last decades. We studied the prevalence of overweight and obesity in the high priority group of patients with established coronary heart disease (CHD) and the therapeutic control of manageable coronary risk factors in relation to body mass index. METHODS: Data from a representative sample of patients having experienced a recent cardiac event before the age of 71 years from 15 European centres participating in the EUROASPIRE II study, were gathered in the period 1999-2000 through standardized methods. In total, 5535 coronary patients with valid height and weight measurements were included. RESULTS: About one in three patients (31%) was diagnosed as obese with additionally half of the patient population being overweight (48%). Obesity was 10% more prevalent among women and significantly less smokers were observed among overweight and obese subjects, twice as many diabetics and more people with low education. Overweight and obese patients had more frequently raised blood pressure and elevated cholesterol after adjustment for age, gender, education, diabetes and centre. In patients using blood pressure lowering agents, 56% of obese and 51% of overweight patients were still having raised blood pressure compared to 42% in normal weight patients. A similar result was observed for the therapeutic control of total cholesterol. Since their hospital discharge, obese and overweight patients did not alter lifestyles regarding fat intake and physical activity. In the period between coronary event and interview, body weight had increased with at least five kilograms in a quarter of all patients. CONCLUSIONS: These results suggest that the growing population of overweight and obese coronary patients is at particularly high risk for further cardiovascular complications due to elevated risk factor levels on the one hand and their insufficient therapeuticcontrol on the other hand. Our results also confirm the considerable weight gain seen in a high proportion of patients following their cardiac event.     

Prevalence of obesity and overweight in urban adult Nigerians

Obesity is increasingly a major health problem in parts of the developing world. It has reached epidemic proportions among Africans living in the Western Hemisphere; similar potential may exist in urban Africa. We explored this possibility in an urban setting in Nigeria, Africa's most populous nation. A screening survey was carried out among randomly selected 998 civil servants, 581 men and 417 women, in Ibadan, a major Nigerian city. Biographical data were collected using standardized questionnaires, and measurements of anthropometric indices, blood pressures and plasma glucose concentration. Obesity and overweight were defined by body mass index based on international criteria. Prevalence of obesity was 8.82% (confidence interval [CI] = 7.13%, 10.75%), overweight 17.45% (CI = 15.12%, 19.95%), and overweight plus obesity = 26.18% (CI = 23.47%, 29.03%). Prevalence of obesity among the women was 17.27% (CI = 13.76%, 21.24%) and for men 2.75% (CI = 1.58%, 4.43%). Among the women 42% were obese or overweight compared with 15% of the male population. Obesity and overweight were associated with higher socioeconomic status. Prevalence of obesity and overweight in the study population is comparable to rates seen in many industrialized countries, and rapidly emerging urbanized populations in Africa.     

Attentional biases for food cues in overweight and individuals with obesity: a systematic review of the literature

Obesity rates have increased dramatically in recent decades, and it has proven difficult to treat. An attentional bias towards food cues may be implicated in the aetiology of obesity and influence cravings and food consumption. This review systematically investigated whether attentional biases to food cues exist in overweight/obese compared with healthy weight individuals. Electronic database were searched for relevant papers from inception to October 2014. Only studies reporting food‐related attentional bias between either overweight (body mass index [BMI] 25.0–29.9 kg m^?2) or obese (BMI ≥ 30) participants and healthy weight participants (BMI 18.5–24.9) were included. The findings of 19 studies were reported in this review. Results of the literature are suggestive of differences in attentional bias, with all but four studies supporting the notion of enhanced reactivity to food stimuli in overweight individuals and individuals with obesity. This support for attentional bias was observed primarily in studies that employed psychophysiological techniques (i.e. electroencephalogram, eye‐tracking and functional magnetic resonance imaging). Despite the heterogeneous methodology within the featured studies, all measures of attentional bias demonstrated altered cue‐reactivity in individuals with obesity. Considering the theorized implications of attentional biases on obesity pathology, researchers are encouraged to replicate flagship studies to strengthen these inferences.     

The burden of obesity among a national probability sample of veterans

BACKGROUND: Few national data exist about the prevalence of obesity and the resulting health burden among veterans. METHODS: We analyzed data from the 2003 Behavioral Risk Factor Surveillance System (n = 242,362) to compare rates of obesity among veterans who do and do not utilize the VA, compared with nonveterans. We used bivariate analyses to describe the association of obesity with lifestyle factors, disability, and comorbid disease, and multivariate analysis to assess the independent association of obesity with VA care. RESULTS: Veterans who use the VA for health care have the highest rates of obesity compared with veterans who do not use the VA and nonveterans (27.7% vs 23.9% vs 22.8%, P < .001). Only 27.8% of veterans who receive health care at the VA are of normal weight (vs 42.6% of the general population, P < .001), 44.5% are overweight, 19.9% have class I obesity, 6% have class II obesity, and 1.8% are morbidly obese (an estimated 82,950 individuals). Obese veterans who utilize the VA for services have higher rates of hypertension (65.8%) and diabetes (31.3%), are less likely to follow diet and exercise guidelines, and more likely to report poor health and disability than their normal-weight counterparts. CONCLUSIONS: Veterans who receive care at the VA have higher rates of overweight and obesity than the general population. At present, less than half of VA medical centers have weight management programs. As the largest integrated U.S. health system, the VA has a unique opportunity to respond to the epidemic of obesity.     

Excess weight at time of presentation of myocardial infarction is associated with lower initial mortality risks but higher long-term risks including recurrent re-infarction and cardiac death

OBJECTIVES: To evaluate the influence of elevated body mass index (BMI) on short- and long-term survival following acute myocardial infarction (AMI). BACKGROUND: Recent studies suggest an obesity survival paradox in individuals undergoing percutaneous coronary intervention with better 30-day and 1-year outcomes in obese relative to normal weight patients. We tested a similar obesity paradox hypothesis following acute myocardial infarction. METHODS: Short- and long-term all-cause mortality, and risk of recurrent AMI were evaluated according to BMI status in 894 consecutive survivors of AMI <80 years of age admitted to the Mayo Clinic Coronary Care Unit between January 1, 1988 and April 16, 2001. Normal weight, overweight and obesity were defined as BMI <25, 25-29.9, and >30 kg/m(2), respectively. RESULTS: Overall mortality following hospital discharge was significantly lower in overweight and obese patients and was mostly attributable to lower 6-month mortality (adjusted HR = 0.47, P = 0.01 for BMI >25 kg/m(2)) relative to normal weight patients, while long-term mortality among 6-month survivors was similar in all 3 groups. The risk of recurrent AMI was higher in patients with BMI >25 kg/m(2) (adjusted HR = 2.30, P = 0.01). Overweight and obese patients were significantly more likely to die from cardiac rather than non-cardiac causes (P < 0.01). CONCLUSIONS: Following AMI, overweight and obese individuals although paradoxically protected from short-term death have a long-term mortality risk that is similar to normal weight individuals. Younger age at the time of initial infarction and fewer non-cardiovascular comorbidities presumably explain the short-lived obesity survival paradox following myocardial infarction.     

Healthcare outcomes for patients with type 2 diabetes with and without comorbid obesity

AimsExamine the burden of comorbid obesity associated with type 2 diabetes (T2D).MethodsThe IBM® MarketScan® Explorys Claims Electronic Medical Records Data were used to identify adults with T2D, two recorded body mass index (BMI) values, and continuous insurance coverage from 1 year prior through 1 year post index date. Patients with index BMI ≥18 kg/m² and <30 kg/m² (normal/overweight) were matched to patients with index BMI ≥ 30 kg/m² (obese) using propensity score matching (PSM). Using the PSM cohort, multivariable analyses examined the association between obesity and patient comorbidities, healthcare costs, and resource utilization.ResultsIn the matched cohort (16,006 normal/overweight; 16,006 obese), multivariable analyses showed that obesity, compared to normal/overweight, was associated with increased odds of a diabetes-related comorbidity (Odds Ratio [OR] = 1.29; 95% Confidence Interval [CI] 1.21–1.38) and an obesity-related comorbidity (OR = 1.42; 95% CI 1.29–1.56). Obesity was also associated with significantly higher annual diabetes-related and all-cause total costs and resource utilization.ConclusionsThis research increases the knowledge of how patients with T2D and obesity should be of greater concern for healthcare providers compared to T2D patients without comorbid obesity, given their worse comorbidity profile, increased resource utilization, and higher healthcare costs.     

Substance use and other psychiatric disorders in first-degree relatives of opioid-dependent males: a case-controlled study from India

To assess the prevalence of substance use and other psychiatric disorders in first-degree relatives of males with opioid dependence compared to normal controls. DESIGN: Observational, case-control study using family history method. SETTING: A drug addiction treatment centre in northern India. PARTICIPANTS: First-degree relatives of 100 male probands with opioid dependence and no comorbidity (n=493) and those of 50 matched probands from normal population (n=254). Measurement Family interview of probands and family members, using the Family Interview for Genetic Studies. The main outcome measure was relative risk (expressed as odds ratio after controlling for confounding variables using logistic regression) of familial aggregation of psychiatric and substance use disorders. FINDINGS: First-degree relatives of opioid-dependent males were more likely to have a psychiatric disorder than those of normal controls [adjusted odds ratio (OR) 4.47; 95% confidence interval (CI) 1.97-10.11; P<0.001], especially for opioid use disorders in the brothers (adjusted OR 6.55; 95% CI 1.44-29.88; P=0.015) and for alcohol use disorders in the fathers of the probands (adjusted OR 5.64; 95% CI 2.39-13.24; P<0.001). Other disorders (major depression, chronic psychosis and obsessive compulsive disorder) did not have significant aggregation in the first-degree relatives of opioid-dependent subjects. CONCLUSIONS: This study provides further evidence for the higher rates of alcohol and opioid dependence in first-degree relatives of opioid-dependent patients. The exact pattern of this familial aggregation may be influenced by the gender of the relatives and their relation to the proband.     

First-degree kinship with young coronary artery disease patients markedly increases lipid-level disorders in asymptomatic hypertensives

BACKGROUND: Association of hypertension and serum lipid disorders has been demonstrated in previous studies. However, there are no investigations about the behaviour of serum lipids in asymptomatic hypertensive individuals who are first degree relatives of young coronary patients. OBJECTIVE: To determine the degree of lipid disorders in Brazilian hypertensive individuals who are first degree relatives of young coronary patients. METHODS: There were four study groups, 2 in each arm of the study: a) 846 subjects without any evidence of heart disease or diabetes who were first degree relatives of patients who underwent coronary artery bypass grafting (CABG) surgery before 55 years-of-age. Of these subjects, 226 individuals were hypertensive (group Hyp F), and 620 were normotensive (group Normo F): b) 910 hospital employees without evidence of cardiovascular disease and family history of coronary artery disease of whom 152 were hypertensive (group Hyp NF), and 758 were normotensive (group Normo NF). Hypertension was defined as blood pressure greater than 140/90 mmHg. The following serum lipid measurements were performed: total cholesterol, high-density lipoprotein cholesterol (HDLC), low-density lipoprtein cholesterol (LDLC), and triglycerides. Lipid disorders were defined according to the 2nd Report of the National Cholesterol Education Program (NCEP) (total cholesterol>240 mg/dl; LDLC>160 mg/dl; triglycerides>200 mg/dl). The frequency of lipid disorders in each group was calculated. Subjects were classified according to their body mass index (BMI) as normal, overweight, or obese. The following statistical analyses were performed as indicated: ANOVA (with Tukey's corrections for multiple comparisons), chi-square (x2), and odds ratio (OR). RESULTS: Hyp F subjects had significantly higher total cholesterol, LDLC and triglyceride levels, and significantly lower levels of HDLC than all other groups. There was a higher frequency of lipid disorders in Hyp F subjects than in Hyp NF individuals, with a significant OR of 1.71 (CI 1.26-2.32) and 2.09 (CI 1.48-2.72) for total cholesterol and LDLC respectively. When compared to Normo F subjects, Hyp F individuals had significantly higher risk of having lipid disorders: total cholesterol (OR=8), LDLC (OR=6), and triglycerides (OR=5). There was a higher frequency of obesity among Hyp F patients than in all other groups. The frequency of subjects who were overweight or obese was higher in Hyp F than in Hyp NF subjects. CONCLUSION: Hypertensive patients who were first degree relatives of patients revascularized at a young age had a higher prevalence of lipid disorders, particularly higher total cholesterol and LDLC, than hypertensive individuals without this family history. These individuals may have a greater genetic propensity to develop lipid disorders.     

Association between metabolically unhealthy overweight/obesity and chronic kidney disease: The role of inflammation

AimOur study explored the association between subtypes of increased fat mass (with or without associated metabolic alterations) and the presence of chronic kidney disease (CKD).MethodsIn this cross-sectional survey in China, body mass index (BMI) was used to assess fat mass. Metabolically healthy was defined as no insulin resistance or any metabolic syndrome components except abdominal obesity. We also used two previous definitions of metabolically healthy. Multiple logistic regression models were used. Normal weight with metabolic health was designated the reference group. Three other subgroups included normal weight with metabolic unhealthiness, overweight/obesity with metabolic health and overweight/obesity with metabolic unhealthiness.ResultsOf the 2324 subjects, 11.77% overweight/obese subjects were metabolically healthy. Compared with normal-weight subjects who were metabolically healthy, overweight/obese subjects who were metabolically healthy did not have an increased risk of CKD (OR: 0.79, 95% CI: 0.29–2.14; P = 0.64), whereas overweight/obese subjects who were metabolically unhealthy had a significantly higher risk of CKD (OR: 2.47, 95% CI: 1.5–3.95; P < 0.001). Normal-weight subjects who were metabolically unhealthy also had a higher risk of CKD, but the P value was of borderline significance. On further adjusting for C-reactive protein (CRP) levels, ORs were much attenuated, but did not alter the associations observed. Using two other definitions of metabolically healthy resulted in similar results.ConclusionMetabolically unhealthy overweight/obesity, but not metabolically healthy overweight/obesity, is associated with an increased risk of CKD. Inflammation might mediate at least part of the association between metabolic changes and CKD prevalence.     

Obesity and health-related quality of life: a cross-sectional analysis of the US population

OBJECTIVE: To examine the relationship between body mass index (BMI) and health-related quality-of-life (HRQL), in the presence of dietary controls and/or exercise in a national sample in the United States. METHODS: BMI and its association with HRQL domains (physical, mental and activity limitations) were examined using the Centers' for Disease Control and Prevention's 2000 Behavioral Risk Factor Surveillence System (BRFSS) data, after adjusting for various sociodemographic factors, self-reported health-status, and diet/exercise behavior. RESULTS: Based on World Health Organization's (WHO) classification of obesity, the study sample (N=182 372) included approximately 43.7% nonoverweight, 36% overweight, 14% obese, and 7% severely obese respondents. Exercise and dietary modifications were used by 17.5% of overweight, 15.2% of obese, and 12.5% of severely obese individuals. Logistic regression results using nonoverweight BMI as the reference category showed that severely obese (OR=1.87, 95% CI 1.64-2.12) and obese (OR=1.21, 95% CI 1.09-1.33) were more likely to experience greater than 14 unhealthy days affecting the physical health domain. Severely obese (OR=1.41, 95% CI 1.26-1.59) and obese (OR=1.17, 95% CI 1.07-1.28) were also more likely to experience greater than 14 unhealthy days affecting the mental health domain. Similarly, severely obese (OR=1.73, 95% CI 1.50-1.99) and obese (OR=1.22, 95% CI 1.08-1.37) were more likely to experience greater than 14 days with activity limitations. Exercise and dietary controls were associated with better HRQL across all three domains. CONCLUSION: The study highlights the relationship between BMI and HRQL in the United States. The study also underlines the positive correlation of exercise and dietary modifications with HRQL.