Relationship between Waist Circumference,Body Mass Index,and Medical Care Costs

Objective: Excessive visceral adiposity as measured by anthropomorphic measures may be more closely associated with adverse health consequences than body weight or body mass index (BMI), the more commonly obtained clinical measures. Waist circumference (WC) provides information about regional adiposity and may correlate with health care costs better than body weight or BMI. Research Methods and Procedures: A total of 424 men (37%) and women (63%) were identified as they were seen in outpatient medical clinics at Denver Health, an integrated health care system serving a largely indigent population. Height, weight, and WC were measured by one examiner. Information on outpatient, laboratory, pharmacy, inpatient, and total charges attributable to each subject for the preceding year were obtained from computerized databases. Data on health care charges were divided into quartiles based on WC and BMI. Results: Total annual health care charges were significantly greater in the highest WC quartile (WC < 83.3 cm: $6062 ± $784; 83.3 to 93.5 cm: $5968 ± $812; 93.7 to 103.5 cm: $6369 ± $1015; >103.5 cm: $8699 ± $1092; p = 0.047). Those with a WC >103.5 cm generated 85% more inpatient charges than the group with a WC <83.3 cm. Although there was a positive trend, BMI was not found to significantly correlate with total health care charges in this population sample. Discussion: These results suggest that abdominal adiposity as assessed by WC is associated with increased total health care charges and may be a better predictor of health care charges than the more widely used BMI.     

Moderate and Severe Obesity Have Large Differences in Health Care Costs

Objective: To analyze health care use and expenditures associated with varying degrees of obesity for a nationally representative sample of individuals 54 to 69 years old. Research Methods and Procedures: Data from the Health and Retirement Study, a nationwide biennial longitudinal survey of Americans in their 50s, were used to estimate multivariate regression models of the effect of weight class on health care use and costs. The main outcomes were total health care expenditures, the number of outpatient visits, the probability of any inpatient stay, and the number of inpatient days. Results: The results indicated that there were large differences in obesity‐related health care costs by degree of obesity. Overall, a BMI of 35 to 40 was associated with twice the increase in health care expenditures above normal weight (about a 50% increase) than a BMI of 30 to 35 (about a 25% increase); a BMI of over 40 doubled health care costs (～100% higher costs above those of normal weight). There was a difference by gender in how health care use and costs changed with obesity class. The primary effect of increasing weight class on health care use appeared to be through elevated use of outpatient health care services. Discussion: Obesity imposes an increasing burden on the health care system, and that burden grows disproportionately large for the most obese segment of the U.S. population. Because the prevalence of severe obesity is increasing much faster than that of moderate obesity, average estimates of obesity effects obscure real consequences for individuals, physician practices, hospitals, and health plans.     

锡林郭勒草原布氏田鼠体重和体长关系的研究

1991～ 1998年对内蒙古阿巴嘎旗那仁宝力格苏木布氏田鼠 (Microtusbrandti)体长、体重和胴体重资料进行了调查和分析 ,得到如下结论 :田鼠体长、体重、胴体重的均值在低密度回升期均逐年增高 ;雌性越冬鼠的胴体重均值低于雄性越冬鼠且有显著性差异 (P <0 0 5 ) ;秋季雄鼠与雌鼠的 3项指标的均值无显著差异(P >0 10 ) ,体长、体重和胴体重间相关极显著 (P =0 0 0 0 1)。分别给出了体重与体长 :胴体重与体长的模型W =aLb,其中W为体重或胴体重 ,L为体长 ;胴体重与体重的关系适合于模型NW =W / (a bW ) ,其中NW为胴体重 ,W为体重。     

硬头鳟幼鱼部分形态性状和体重的关系

随机选取116尾硬头鳟(Oncorhynchus mykiss)幼鱼,测量其体长、体高、体厚、头长、眼径和眼间距、体重7个性状,计算各性状间的相关系数,采用通径分析方法计算以表型形态性状为自变量对体重作因变量的通径系数、决定系数及复相关指数,对各性状的影响大小进行剖析,明确影响硬头鳟幼鱼体重的主要外部形态性状,为硬头鳟...     

Weight Change in Adult Life and Health Outcomes

Objective: To investigate the relationship between weight change in adult life and subsequent mortality and cancer incidence in women. Research Methods and Procedures: In 1994 to 1995, all women (age range, 42 to 81) still under general practitioner observation in the United Kingdom's Royal College of General Practitioners Oral Contraception Study (n = 12 303) were sent a health survey asking about health and lifestyle issues, including current weight and weight at age 30. The main outcome measures were 6‐year all‐cause mortality and cancer incidence among different weight change deciles. Cox regression was used to calculate hazard ratios that were adjusted for: social class at recruitment, BMI at age 30, and age group, parity, smoking status, and hormone replacement therapy status in 1995. Results: Women who had been obese at age 30 were more likely to die and significantly more likely to develop cancer in the 6 years after the health survey than non‐obese respondents. Women reporting weight gains between age 30 and 1995 were significantly less likely to die during the 6 years after the health survey than those with a stable weight, whereas those with weight loss did not fare any better than those in the stable‐weight group. Discussion: Although obesity at young age was associated with subsequent mortality and cancer incidence, weight gain over a time period of 12 to 51 years appeared to be beneficial when compared with women with stable weight over the same time period. Further research is needed to confirm or refute our findings and to allow detailed examination of potential explanations for them.     

The Association between Weight Perception and BMI among High School Students

Objective: To assess the association between weight perception and BMI among a large, diverse sample of adolescents. This study used both measured and self‐reported height and weight to calculate BMI. Research Methods and Procedures: A convenience sample of students (n = 2032) in grades 9 through 12 completed a questionnaire assessing demographic characteristics, self‐reported height and weight, and body weight perception. These students were then weighed and had their height measured using a standard protocol. Results: Using BMI calculated from measured height and weight, 1.5% of students were classified as underweight or at risk for underweight, 51.2% of students were normal weight, and 47.4% were overweight or at risk for overweight. Among this same sample of students, however, 34.8% perceived themselves as underweight, 42.9% perceived themselves as about the right weight, and 22.3% perceived themselves as overweight. Even when using BMI calculated from self‐reported height and weight, >20% of students who were overweight or at risk for overweight perceived themselves as underweight. Discussion: Because perception of overweight is a key determinant of adolescent nutritional habits and weight management, many students who are overweight or at risk for overweight but who do not perceive themselves as such are unlikely to engage in weight control practices. Increasing awareness of medical definitions of overweight might improve accuracy of weight perceptions and lead to healthier eating and increased physical activity.     

Effect of Regain of Body Weight on Regional Body Fat Distribution: Comparison Between Pre- and Postmenopausal Obese Women

The aim of our study was to determine if regain of body weight increases visceral fat in obese women and if regain of weight has a different effect upon pre- and postmenopausal women. Twenty obese women (11 pre- and 9 postmenopausal) underwent a very low energy diet (VLED) for 2 weeks to lose weight. They then regained body weight in spite of the recommended hypocaloric diet. No significant modifications in body fat distribution indexes were found by computed tomography between VLED and after regain of weight. No significant changes were found in metabolic variables. No interactions between menopausal status and regain of body weight were observed. In conclusion, regain of weight does not seem to cause an increase in visceral fat; both pre- and postmenopausal women showed the same body fat distribution before weight loss and after regain of weight.     

Alcohol Intake and 8‐Year Weight Gain in Women: A Prospective Study

Objective: To examine prospectively the relationship between alcohol and 8‐year weight gain in women. Research Methods and Procedures: A prospective study of 49, 324 women 27 to 44 years old who did not have a history of cardiovascular disease, cancer, or diabetes, who were not pregnant during the study period, and who reported weights in 1991 and 1999. Results: In cross‐sectional analyses, there was a significant inverse relationship between alcohol and BMI even after adjustment for dietary factors and a wide range of confounders. In multivariate prospective analyses, a nonlinear relationship was seen between alcohol and weight gain (≥5 kg) in all women. Compared with nondrinkers, the adjusted relative odds [95% confidence interval (CI)] of weight gain according to grams per day were 0.94 (0.89, 0.99) for those consuming 0.1 to 4.9 g/d, 0.92 (0.85, 0.99) for 5 to 14.9 g/d, 0.86 (0.76, 0.78) for 15 to 29.9 g/d, and 1.07 (0.89, 1.28) for those consuming 30+ g/d (p < 0.0001 for quadratic trend). Women who continued to drink heavily and those who became heavy drinkers showed similar increased odds of weight gain. The increased odds of weight gain associated with heavy drinking (30+ g/d) were most marked in the younger women (<35 years) (odds ratio 1.64; 5% CI 1.03 to 2.61). In African‐American women, light drinking was associated with increased odds of weight gain compared with nondrinkers (odds ratio = 2.43; 95% CI 1.22 to 4.82) Discussion: Our data suggest that light to moderate drinking (up to 30 g/d) is not associated with weight gain in women except possibly in African‐American women. Heavier drinking may promote weight gain in women.     

Relationship between Number of Eggs,Brood Weight,and Female Body Weight in Crustacea

Relationships between number of eggs (N_g), brood weight (W_g), and body length (L) and weight (W) of females were studied for 16 orders and suborders of Crustacea. The study was based on the authors' observations in the inland waters of the European USSR, in the coastal regions of the fareastern and northern seas and data from V. V. KUZNETSOV (preserved in archives). An extensive literature was also used. The equations describing the relationships (N_g=f(L) and W_g=f(W) are calculated for some species and high taxons. On the average for the superclass (excluding the order Notostraca) the W_g/W ratio appeared to be 0.16. This ratio is markedly different for species of Notostraca. It is supposed that this difference is due to the high metabolic rate of Notostraca.     

A Causal Estimate of Long-Term Health Care Spending Attributable to Body Mass Index Among Adults

While high body mass index (BMI) is believed to be a major driver of poor health, there is little evidence about whether it leads to higher health care spending. Understanding the causal contribution of BMI to health care spending is necessary to estimate the returns to investment in weight loss efforts. We exploit genetic variation in BMI across siblings as a natural experiment to estimate the impact of BMI on cumulative third party and out-of-pocket health care spending among adults using the Panel Study of Income Dynamics data from 1999 through 2011. We estimate a two-stage residual inclusion model with a generalized linear model. We find a $611.60 increase in cumulative insurer spending for each one-unit increase in BMI. This amounts to $130.49 in mean annual spending, and is two times higher than the non-causal estimate. We find no difference in out-of-pocket spending by BMI. These findings suggest that having a higher BMI in young/middle adulthood leads to significantly higher insurer health expenditures over the life course, which can help to inform public and private insurer policies on BMI reduction and control.     

比格犬MC4R基因多态性与体重相关性的研究

为了分析比格犬黑素皮质素受体-4基因多态性与犬体重的关系, 根据犬MC4R基因DNA外显子序列, 设计MC4R基因特异PCR引物1对, 犬DNA经PCR扩增, 克隆和测序, 寻找和确定犬MC4R基因的多态性位点, 分析多态性与犬体重的关系。结果在比格犬MC4R基因中发现2处单碱基缺失突变, 1个单碱基颠换变异, 存在Psh AⅠ酶切位点, 并基于PshAⅠ酶切位点建立了PCR-RFLP技术。统计分析显示犬MC4R基因型与体重显著相关, 可以考虑将MC4R基因作为犬体重的候选基因。     

参考家系鸡黑素皮质素受体3基因多态性与体重关系研究

鼠遗传学研究显示黑素皮质素受体3（melanocortin-3 receptor,MC3R）和MC4R在能量平衡控制中具有互补作用。敲除MC3R基因鼠表现为独有的代谢综合征和增加脂肪重量。以8周龄高体重或低体重独立选择的高体重系（high weight,HW）和低体重系（low weight,LW）白洛克鸡3代参考家系群体作为实验材料,发现了5个新的MC3R基因单核苷酸多态性（single nucleotide polymorphisms,SNPs）;建立了基于限制性内切酶Dde I的MC3R基因型的PCR-RFLP分子检测方法。方差分析结果显示MC3R基因型显著影响公鸡和母鸡的体重,以及公鸡腹脂含量。该结果建议MC3R基因可以作为侯选基因解释杂交鸡体重显著差异的原因。     

Genetic Contributions to Body Weight in Mice: Relationship of Exploratory Behavior to Weight

Objective: The A/J and C57BL/6J mouse strains differ markedly in their exploratory behavior and their weight gain on a high‐fat diet. We examined the genetic contributions of exploratory behavior to body weight and tested for shared, pleiotropic loci influencing energy homeostasis. Research Methods and Procedures: Segregating (A×B6)F2 intercross (n = 514) and (B6AF1×A/J)N2 backcross (N = 223) populations were studied, phenotyping for weight and exploratory behaviors. Relationships among traits were analyzed by correlations. Weight traits were dissected with a genome‐wide scan. Results: Modest correlations were found between exploratory behaviors and weight, explaining 2% to 14% of the variance. Quantitative trait loci (QTL) for body weight at 8 weeks (wgt8), 10 weeks (wgt10), and 2‐week weight gain (difference between weeks 8 and 10) on a 6% fat diet were mapped. Two QTL on chromosome 1 (peaks at 66 cM and 100 cM; Bw8q1) affected wgt8 [likelihood of the odds ratio (Lod), 3.0 and 4.4] and wgt10 (Lod, 2.2 and 3.4), respectively. In the backcross, a significant QTL on chromosome 4 (peak at 66 cM; Bw8q2) affected wgt 8 (Lod, 3.3) and wgt10 (Lod, 3.1). For 2‐week weight gain, suggestive QTL were mapped on chromosomes 4 and 6. The chromosome 6 QTL region overlaps a human 7q locus for obesity. A search for between‐strain sequence polymorphisms in the leptin and NPY genes was unrevealing. Discussion: In mice, loci influencing exploratory activity play a modest role in body‐weight regulation. Some forms of obesity may emerge from loci regulating normal body weight.     

Weight Cycling and the Risk of Developing Type 2 Diabetes among Adult Women in the United States

Objective: To assess the role of weight cycling independent of BMI and weight change in predicting the risk of developing type 2 diabetes. Research Methods and Procedures: A six‐year follow‐up of 46, 634 young and middle‐aged women in the Nurses’ Health Study II was conducted. Women who had intentionally lost ≥20 lbs at least three times between 1989 and 1993 were classified as severe weight cyclers. Women who had intentionally lost ≥10 lbs at least three times were classified as mild weight cyclers. The outcome was physician‐diagnosed type 2 diabetes. Results: Between 1989 and 1993, ～20% of the women were mild weight cyclers, and 1.6% were severe weight cyclers. BMI in 1993 was positively associated with weight‐cycling status (p < 0.001). During 6 years of follow‐up (1993 to 1999), 418 incident cases of type 2 diabetes were documented. BMI in 1993 had a strong association with the risk of developing diabetes. Compared with women with a BMI between 17 and 22 kg/m², those with a BMI between 25 and 29.9 kg/m² were approximately seven times more likely to develop diabetes, and those with a BMI ≥35 kg/m² were 63 times more likely to be diagnosed with type 2 diabetes. After adjustment for BMI, neither mild (relative risk = 1.11, 95% confidence interval, 0.89 to 1.37) nor severe (relative risk = 1.39, 95% confidence interval, 0.90 to 2.13) weight cycling predicted risk of diabetes. Discussion: Weight cycling was strongly associated with BMI, but it was not independently predictive of developing type 2 diabetes.     

Serum Leptin Concentrations and Weight Gain in Postobese,Postmenopausal Women

Objective : This study was designed to determine if serum leptin concentrations (adjusted for fat mass) after weight loss on a low-calorie diet predict subsequent weight gain. Research Methods and Procedures : Body composition and serum leptin concentrations were determined on 14 moderately obese, postmenopausal, nondiabetic women with a familial predisposition to obesity. Assessments were obtained under tightly controlled metabolic ward conditions of macronutrient intake and weight maintenance both before (obese state) and after a mean weight loss of 12.0 kg to normal body weight (postobese state). Four years later, without intervention, body weight and body composition were reassessed. Results : Weight loss resulted in significant decreases in fat mass (29.7 ± 5.4 vs. 20.3 ± 4.7; kg), body mass index (27.7 ± 1.6 vs. 23.0 ± 1.5; kg/m2), percent body fat (40.7 ± 4.3 vs. 33.1 ± 5.0), and serum leptin concentrations (31.8 ± 16.0 vs. 11.5 ± 5.4; ng/mL). Serum leptin concentrations were positively correlated (p<<0.05) with fat mass in both the obese and postobese states (r = 0.67 and r = 0.56, respectively). However, residual serum leptin concentrations (adjusted for fat mass) in the obese and postobese states were not related to changes in body weight (p<= 0.61 and 0.52), fat mass (p = 0.72 and 0.42), body mass index (p = 0.59 and 0.33), or percent body fat (p = 0.84 and 0.46) over the follow-up period. Discussion : These finding do not support the hypothesis that relatively low concentrations of leptin predict weight regain after weight loss. However, because the number of subjects in this study was limited, further studies are warranted.     

Relationship between Obesity and Health-Related Quality of Life in Men

Objective: Few studies examining the relationship between obesity and health-related quality of life (HRQOL) have used a medical outpatient population or demonstrated a relationship in men. Furthermore, most studies have not adequately considered comorbid illness. The goal of this study was to examine the relationship between body mass index (BMI) and HRQOL in male outpatients while considering comorbid illness. Research Methods and Procedures: This cross-sectional study examined 1168 male outpatients from Durham Veterans’ Affairs Medical Center. Multiple linear regression was used to examine the relationship of BMI with each subscale from the Medical Outcomes Study Short Form 36 while adjusting for age, race, comorbid illness, depression, and physical activity. Results: Participants had a mean age of 54.7 ± 5.6 years; 69% were white and 29% were African American. The distribution for BMI was as follows: 18.5 to <25 kg/m² (21%), 25 to <30 kg/m² (43%), 30 to <35 kg/m² (25%), 35 to <40 kg/m² (8%), and ≥40 kg/m² (3%). Mean Short Form 36 subscale scores were lower than U.S. norms by an average of 27%. Individuals with BMI ≥40 kg/m² had significantly lower scores compared with normal weight individuals on the Role-Physical and Vitality subscales. On the Physical Functioning and Physical Component subscales, lower scores were observed at BMI ≥35 kg/m². On the Bodily Pain subscale, lower scores were observed at BMI ≥25 kg/m². Discussion: An inverse relationship between BMI and physical aspects of HRQOL exists in a population of male outpatients. Increased BMI was most prominently associated with bodily pain; this relationship should receive more attention in clinical care and research.     

Associations of Body Mass and Body Fat Distribution with Parity Among African-American and Caucasian Women: The CARDIA Study

Associations of parity with body fat and its distribution are poorly understood; therefore, we examined the relationships between parity and obesity in young adult women. Body mass index (BMI), skin folds, and waist-hip ratio were compared in 1452 African-American and 1268 Caucasian nonpregnant women aged 18 to 30, adjusting for age (where no age-parity interactions were present), education, physical activity (assessed by questionnaire) and fitness (assessed by graded exercise test), dietary fat intake, alcohol and smoking. Adjusted mean BMI was significantly higher in African-American women aged 25–30 years with three or more children (28.5 kg/m²) than in those with two (27.0 kg/m²), one (26.2 kg/m²), or no children (26.3 kg/m²). Similar trends were found in Caucasians (BMI = 23.3, 23.4, 23.7, 25.0 kg/m² for parity = 0,1, 2, ≥ 3, respectively), but the mean BMI was significantly higher in African Americans in each parity group. The association between BMI and parity was not present among women 18–24 years of age. Skinfolds were directly associated with parity in African Americans only. Waist-hip ratios were generally lower among nulliparous than parous women in both ethnic groups; race differences were present only among nulliparas. In conclusion, parity was associated with BMI in women aged 25 to 30 years but did not explain ethnicity-related differences in body mass.     

Obesity Affects Nursing‐Care Facility Admission among Whites but Not Blacks

Objective: This study examines whether obese individuals have a greater rate of nursing care facility admission than normal weight individuals. Research Methods and Procedures: Data from the National Health and Nutrition Examination Survey Epidemiological Follow‐up Survey were analyzed. Cox proportional hazards models were used to examine the relationship between baseline weight status and subsequent time to first nursing home admission while adjusting for sex, age, race, marital status, height, presence of children, smoking status, education, region, urban residence, income, and physical activity. Results: Of 5960 adults 45 to 74 years old, 989 individuals were admitted to a nursing care facility over the subsequent 20 years. Body mass index (BMI) was studied using five categories: < 18.5, 18.5 to <25, 25.0 to <30, 30.0 to <35, ≥35 kg/m². The effects of BMI differed by race: compared with those with a BMI of 18.5 to < 25 kg/m², adults with a BMI ≥30 kg/m² or a BMI <18.5 kg/m² had a greater rate of nursing home admission in whites, whereas no relationship was found in blacks. The inclusion of time to death with nursing home admission as a joint outcome yielded similar results. Discussion: The large increase in the prevalence of obesity coupled with the rapid expansion of the number of older Americans will likely increase the demand for nursing facility use. More research is needed to understand differences in factors related to nursing home admission among ethnic groups.     

Weight Loss Attempts and Attitudes toward Body Size,Eating, and Physical Activity in American Indian Children: Relationship to Weight Status and Gender

Objective: This study examined dieting, weight perceptions, and self‐efficacy to eat healthy foods and engage in physical activity and their relationships to weight status and gender among American Indian elementary schoolchildren. Research Methods and Procedures: Data for this study were collected as part of the baseline examination for the Pathways study. Participants were 1441 second‐ through third‐grade American Indian children in 41 schools representing seven tribes in Arizona, New Mexico, and South Dakota who filled out a questionnaire and had heights and weights taken. Results: Forty‐two percent of the children were overweight or obese. No differences were found between overweight/obese and normal weight children for healthy food intentions or self‐efficacy. Heavier children (especially those with body mass index > 95th percentile) were more likely to have tried to lose weight or were currently trying to lose weight. No gender differences were found. Normal weight children chose a slightly heavier body size as most healthy compared with overweight/obese children. Discussion: The results indicate that children are concerned about their weight and that weight modification efforts are common among overweight American Indian children. School, community, and family‐based programs are needed to help young people adopt lifelong healthful eating and physical activity practices.     

Body Dissatisfaction and Binge Eating in Obese Women: The Role of Restraint and Depression

Objective: This study examined the association between body dissatisfaction and binge eating, and the mediating role of restraint and depression among obese women. Research Methods and Procedures: Participants were obese women taking part in a cognitive-behavioral treatment program who completed self-report measures at baseline (n = 89) and post-treatment follow-up (n = 69). Results: At baseline, body dissatisfaction was strongly correlated with binge eating score. This was partly a direct effect and partly mediated by depression. No mediating effect of restraint was observed. Over the treatment period, a reduction in body dissatisfaction was associated with a reduction in binge-eating score. As in the cross-sectional data, there was evidence for mediation by change in depression with the greatest improvement in binge eating among those who became more restrained and less depressed. Discussion: These results suggest that it would be valuable to address psychological well-being, and especially body image, as part of the management of binge-eating behavior in obesity.