Impact of cardiometabolic risk factor clusters on health-related quality of life in the U.S

Objective: Research has shown that risk factors for cardiovascular disease often cluster together, most notably overweight/obesity, diabetes, hyperlipidemia, and hypertension. The impact of cardiometabolic risk factor clusters on health‐related quality of life (HRQL) is not well understood. The purpose of this study was to examine and quantify the impact of cardiometabolic risk factor clusters on HRQL as measured by the SF (Short Form)‐12 Mental Component Scale (MCS‐12), SF‐12 Physical Component Scale (PCS‐12), EQ‐5D index (a generic quality of life index), and Visual Analogue Scale. Research Methods and Procedures: The Medical Expenditure Panel Survey is a nationally representative survey of the U.S. population. From 2000 to 2002, detailed information on sociodemographic characteristics and health conditions were collected for 36,697 adults with complete responses. Controlling for comorbidity and sociodemographic characteristics, this study estimated the marginal impact of cardiometabolic risk factor clusters on MCS‐12, PCS‐12, EQ‐5D index, and Visual Analogue Scale scores. Cardiometabolic risk factor clusters were defined as the presence of BMI ≥25 kg/m² and at least two of the following: diabetes, hyperlipidemia, and hypertension. Using BMI ≥30 kg/m² as the cut‐off was also examined. Results: The marginal impact of cardiometabolic risk factor clusters was highly statistically significant across all four HRQL measures and seemed to be clinically significant for all but the MCS‐12. The PCS‐12 showed a greater decrease in HRQL associated with physical function compared with mental function‐related domains of the MCS‐12. Discussion: Common cardiometabolic risk factor clusters such as overweight/obesity, diabetes, hypertension, and hyperlipidemia have a significant and negative impact on HRQL in the United States.     

Changes in Health State Utilities With Changes in Body Mass in the Diabetes Prevention Program

Health utilities are measures of health‐related quality of life (HRQL) used in cost‐effectiveness research. We evaluated whether changes in body weight were associated with changes in health utilities in the Diabetes Prevention Program (DPP) and whether associations differed by treatment assignment (lifestyle intervention, metformin, placebo) or baseline obesity severity. We constructed physical (PCS‐36) and mental component summary (MCS‐36) subscales and short‐form‐6D (SF‐6D) health utility index for all DPP participants completing a baseline 36‐item short form (SF‐36) HRQL assessment (N = 3,064). We used linear regression to test associations between changes in body weight and changes in HRQL indicators, while adjusting for other demographic and behavioral variables. Overall differences in HRQL between treatment groups were highly statistically significant but clinically small after 1 year. In multivariable models, weight change was independently associated with change in SF‐6D score (increase of 0.007 for every 5 kg weight loss; P < 0.001), but treatment effects independent of weight loss were not. We found no significant interaction between baseline obesity severity and changes in SF‐6D with changes in body weight. However, increases in physical function (PCS‐36) with weight loss were greater in persons with higher baseline obesity severity. In summary, improvements in HRQL are associated with weight loss but not with other effects of obesity treatments that are unrelated to weight loss. Although improvements in the SF‐6D did not exceed commonly reported thresholds for a minimally important difference (0.04), these changes, if causal, could still have a significant impact on clinical cost‐effectiveness estimates if sustained over multiple years.     

Obesity and Quality of Life: Mediating Effects of Pain and Comorbidities

Objective: To estimate the association between body mass index (BMI) and health‐related quality of life (HRQL) and examine whether joint pain and obesity‐related comorbidities mediate the BMI‐HRQL association. Research Methods and Procedures: Population‐based survey data from the 1999 Behavioral Risk Factor Surveillance Survey. Adults (N = 155, 989) were classified according to BMI as underweight (<18.5 kg/m²), desirable weight (18.5 to 24.9 kg/m²), overweight (25 to 29.9 kg/m²), obese class I (30 to 34.9 kg/m²), obese class II (35 to 39.9 kg/m²), and obese class III (≥40 kg/m²). Data including general health status, unhealthy days in the past 30 caused by physical problems and mental problems, and total unhealthy days in the past 30 were collected. Results: After adjusting for age, sex, race, smoking, education, and income, we observed J‐shaped associations between BMI and HRQL. Compared with desirable weight adults, underweight, overweight, and obesity classes I, II, and III adults [odds ratio (OR) = 1.57, 1.19, 1.95, 2.72, and 4.36, respectively] were significantly (p < 0.001) more likely to report fair/poor general health status. For unhealthy days caused by physical problems, the corresponding ORs were 1.51, 1.15, 1.66, 2.27, and 3.61 (p < 0.001). For unhealthy days caused by mental problems, the ORs were 1.35, 1.14 1.43, 1.57, and 2.25 (p < 0.001). For total unhealthy days, the corresponding ORs were 1.27, 1.09, 1.37, 1.73, and 2.46 (p < 0.01). Adding joint pain and obesity‐related comorbidities into models attenuated BMI‐HRQL associations. Discussion: Associations between BMI and HRQL indices were J‐shaped. Joint pain and comorbidities may mediate BMI‐HRQL associations.     

Quality of Life after Lap‐Band Placement: Influence of Time,Weight Loss,and Comorbidities

Objective: To assess the quality of life (QOL) in severely obese subjects before and after Lap‐Band gastric restrictive surgery and identify factors that may influence change. Research Methods and Procedures: All patients, over a 3‐year period, attending for preoperative assessment (n = 459) or annual review after surgery (n = 641) have completed the Short Form‐36 (SF‐36) health survey. Eight domain and physical component summary (PCS) and mental component summary (MCS) scores were calculated. Scores were analyzed in groups based on time after surgery and compared with community normal (CN) values. Paired preoperative and 1‐year scores (n = 218) data were used to find predictors of QOL change. Results: All preoperative mean scores (n = 459) were lower than CN values, with greater impairment in the PCS (36.8 ± 9.5 vs. CN: 51.3 ± 8.3, p < 0.001) than in the MCS (45.7 ± 8.2 vs. CN: 48.8 ± 9.5, p < 0.001) scores. After 1 year, scores were closer to CN scores (PCS: 52.4 ± 8.2 and MCS: 48.4 ± 7.7), and these remained closer for 4 years. Preoperative obesity comorbidity, especially physical disability, was the best predictor of poor preoperative SF‐36 scores and of improvement in scores at 1 year. The percentage of excess weight loss at 1 year (46 ± 16%) was of little predictive value of improved QOL. Discussion: Severely obese subjects have poor health‐related QOL as measured by the SF‐36 health survey. Lap‐Band surgery for this group has provided a dramatic and sustained improvement in all measures of the SF‐36. Improvement is greater in those with greater preoperative disability, and the extent of weight loss is not a good predictor of improved QOL.     

Association between Body Mass Index and Health-Related Quality of Life: The "Obesity Paradox" in 21,218 Adults of the Chinese General Population

Background

There was no consistent recognition of the association between high or low body mass index (BMI) and health related quality of life (HRQL). The aim of this research was to study the association between BMI and HRQL in Chinese adults, and to further explore the stability of that association in the subgroup analysis stratified by status of chronic conditions.

Methods

A total of 21,218 adults aged 18 and older were classified as underweight, normal weight, overweight, class I obese, and class II obese based on their BMI. HRQL was measured by the SF-36 Health Survey. The independent impact of each BMI category on HRQL was examined through standard least squares regression by comparing the difference of SF-36 scores and the minimum clinically important differences (MCID), which was defined as 3 points.

Results

Compared to the normal weight, the class I obese was significantly associated with better HRQL scores in the mental component summary (MCS) (75.1 vs. 73.4, P<0.001). The underweight had the lowest score in both the physical components summary (PCS) (75.4 vs. 77.5, P<0.001) and mental components summary (MCS) (71.8 vs. 73.4, P<0.001). For the MCID, the HRQL score was reduced by more than 3 points in the physical functioning for the class II obese (D=-3.43) and the general health for the underweight (D=-3.71). Stratified analyses showed a similar result in the health subjects and chronic conditions, and it was significant in the chronic conditions.

Conclusions

The class I obese showed the best HRQL, especially in the mental domain. The worst HRQL was found in the underweight. The class II obese reduced HRQL in the physical functioning only. “Obesity paradox” was more obvious in the participants with chronic conditions.     

Obesity indices and self-reported functional health in men and women in the EPIC-Norfolk

Objective: To investigate the association between two indices of obesity, BMI and waist‐to‐hip ratio (WHR), and self‐reported physical and mental functional health. Research Methods and Procedures: We examined the relationship between obesity indices and self‐reported physical and mental functional health measured by the Anglicized version of the Short‐Form 36‐item questionnaire in a population‐based cross sectional study of 16, 806 men and women 40 to 79 years old living in the general community in Norfolk, United Kingdom. Results: Higher BMI and WHR were both independently associated with poorer self‐reported physical functional health in men and women. The effect of BMI was greater in women compared with men, and the effect of WHR was greater in men compared with women, for poor physical functional health. Higher WHR but not BMI was associated with lower mental functional health in men and women. Discussion: High BMI and WHR seem to be adversely related to self‐perceived functional health in both men and women, although their relative impacts seem to differ by sex. Our findings also highlight the importance of using WHR in addition to BMI in assessing the impact of obesity on health outcome.     

Influence of BMI on Health‐related Quality of Life: Comparison Between an Obese Adult Cohort and Age‐matched Population Norms

The aim of this study was to determine health‐related quality of life and fatigue measures in obese subjects and to compare scores with age‐ and gender‐matched population norms. A total of 163 obese subjects were recruited from laparoscopic‐adjustable gastric banding or exercise and diet weight loss programs between March 2006 and December 2007. All subjects completed the Medical Outcomes Study Short Form 36 (SF‐36), Assessment of Quality of Life (AQoL), and Multidimensional Assessment of Fatigue (MAF) questionnaires. One‐sample t‐tests were used to compare transformed scores with age‐ and gender‐matched population norms and controls. Obese subjects have significantly lower SF‐36 physical and emotional component scores, significantly lower AQoL utility scores and significantly higher fatigue scores compared to age‐matched population norms. Within the study cohort, the SF‐36 physical functioning, role physical and bodily pain scores, and AQoL utility index were even lower in subjects with clinical knee osteoarthritis (OA). However, obese individuals without OA still had significantly lower scores compared to population norms. Obesity is associated with impaired health‐related quality of life and disability as measured by the SF‐36, AQoL, and fatigue score (MAF) compared to matched population norms.     

Construct validity of the Short Form-36 Health Survey and its relationship with BMI in obese outpatients

Objective: To investigate the construct validity of the Short Form‐36 (SF‐36) Health Survey questionnaire in obese patients. Research Methods and Procedures: Our series consisted of 1735 obese patients (age, 44.7 ± 11.0 years; 1346 women) consecutively enrolled in the QUOVADIS study, an observational multicenter study of obese treatment‐seeking outpatients. The construct validity of the SF‐36 was assessed by main component analysis. Age‐, gender‐, and education‐adjusted general linear models were used to investigate the relationship between BMI and SF‐36 domains or factors identified by main component analysis. Results: BMI was significantly associated with poor health‐related quality of life in all eight SF‐36 domains, and the strongest association was observed with physical activity. Main components analysis generated a six‐factor solution explaining 59% of the observed variance. BMI was strongly associated with factors based on the loading of items regarding the physical activity domain and factors based on role‐physical and role‐emotional items or general health and bodily pain items. In contrast, mental health‐, vitality‐, and social functioning‐based factors were not related to BMI. Discussion: In obese treatment‐seeking outpatients, the clustering of SF‐36 items in main components is not significantly different from the domain‐based approach generally used, thus confirming the robustness of such a generic questionnaire in this specific condition. However, the peculiar clustering of some SF‐36 items and their relationship with BMI suggest that the health‐related quality of life profile of subjects belonging to that population may be better described with alternative aggregations of the SF‐36 items or with disease‐tailored questionnaires.     

Metabolic syndrome and health-related quality of life in obese individuals seeking weight reduction

Background: No previous research has examined the association between metabolic syndrome (MetSyn) and health‐related quality of life (HRQoL) using standard criteria for defining MetSyn. We hypothesized that MetSyn would be associated with lower HRQoL on measures of physical and mental health. Methods and Procedures: Participants were 361 individuals in two randomized weight loss trials. MetSyn was defined by the National Cholesterol Education Panel criteria. The Medical Outcomes Study, Short Form‐36 (SF‐36) was used to assess HRQoL. Differences in HRQoL and in clinical and psychosocial characteristics were compared among participants with and without MetSyn. Multiple regression was used to determine predictors of HRQoL. Results: MetSyn was associated with lower scores on the physical function and general health subscales of the SF‐36 and on the physical component summary (PCS) score. This association remained after controlling for age or depression but was eliminated by controlling for BMI. MetSyn was not associated with lower mental quality of life, a higher depression score, tobacco or alcohol use, or a higher rate of psychosocial stressors. Discussion: Individuals with MetSyn reported lower HRQoL. This appeared to be an effect of increased weight, rather than a unique effect of MetSyn. Larger studies are needed to assess whether MetSyn may have an independent effect on HRQoL.     

Obesity duration is associated to pulmonary function impairment in obese subjects

Obesity is associated with pulmonary function disturbances. We hypothesized that lung function decreases with increasing duration of obesity. We evaluated pulmonary function tests (PFTs) in 188 nonsmoking subjects with primary obesity (aged 8–76 years; 36% with systemic hypertension). Duration of obesity was assessed by questionnaire in adults, and by height and weight growth patterns in children. Asthma and/or other allergic diseases were investigated by standardized questionnaires. BMI and BMI‐standard deviation scores (SDS) were 38.7 and 2.4 kg/m², respectively. Forty‐six percent of patients were atopic. Among subjects with ever asthma (33%), 20 had current asthma (11% of the total). Forced vital capacity (FVC), forced expiratory volume in 1 s, total lung capacity (TLC), and functional residual capacity (FRC) were 103, 104, 95, and 76% predicted, respectively. Mean duration of obesity was 8.3 years. Compared with subjects who had been obese for ≤5 years, patients who had been obese for >15 years had significantly lower values on PFTs (P < 0.05). In subjects with systemic hypertension, PFTs were lower than in patients without hypertension (P < 0.01). Duration of obesity was significantly related to all PFTs (P ≤ 0.001). In a multiple regression analysis where duration and severity of obesity, hypertension, atopy, asthma, and family history of atopic diseases were independent variables, duration of obesity was a predictor of lower PFTs (P < 0.01). Of the remaining variables, only hypertension contributed to lower lung volumes. In obese individuals, lung function was significantly lower in subjects with greater years of obesity. Fat loss programs should be encouraged to prevent late pulmonary function impairment.     

Relative contributions of adiposity and muscularity to physical function in community-dwelling older adults

Objective: To determine the relative contributions of adiposity and muscularity to multi‐dimensional performance‐based and perceived physical function in older adults living independently. Methods and Procedures: Data from 109 women and men, aged 60 or older, with low serum dehydroepiandrosterone (DHEA) sulfate levels were included in this cross‐sectional analysis of baseline measures from a single‐site, randomized, controlled trial of DHEA replacement therapy. Physical function was determined by means of performance on the 100‐point Continuous Scale‐Physical Functional Performance (CS‐PFP) test and by self‐reporting using the physical function subscale of the Medical Outcomes Short Form‐36 (SF36_PF). Body composition was measured by dual‐energy X‐ray absorptiometry (DXA). Linear regression analyses were used to determine the contributions of body mass index (BMI; kg body mass/m²), fat index (FI; kg fat/m²), and appendicular skeletal muscle index (ASMI; kg muscle/m²) to the CS‐PFP and SF36_PF scores, adjusted for age and sex. Results: Age‐adjusted regression analyses indicated that FI, but not ASMI, was a significant (P < 0.001) determinant of CS‐PFP (R ² = 0.54) and SF36_PF (R ² = 0.37). When adjusted for age and sex, BMI was nearly as good a predictor of CS‐PFP (R ² = 0.50) and SF36_PF (R ² = 0.34) as FI. Discussion: Adiposity was a stronger predictor of measured and self‐reported physical function than was muscularity in older adults living independently. BMI, adjusted for sex, is a reasonable substitute for adiposity in the prediction of physical function.     

Health-related quality of life in patients with primary Sjögren's syndrome and xerostomia: a comparative study

Objective: To compare the health status of groups of Primary Sjögren's and Xerostomia patients, using the Medical Outcomes Short Form 36 (SF‐36). The SF‐36 is a generic measure, divided into eight domains, used in the assessment of health‐related quality of life. Patients and methods : The SF‐36 was given to 2 groups: Group 1 comprised 43 patients diagnosed with Primary Sjögren's Syndrome (1SS) and an unstimulated whole salivary flow rate (UFR) of <0.1 ml/min). Group 2 (n = 40) reported Xerosiomia but had an UFR >0.2 ml/min. Sub groups of patients in Groups 1 and 2 were compared with community normative data, for the SF‐36 Results: There were trends to suggest lower SF36 scores for 1SS patients but there were no significant differences between the mean domain scores of Groups 1 and 2. 1SS and Xerostomia patients registered lower mean scores across all 8 domains, compared with normative community data. Conclusion: The SF‐36 was unable to detect significant differences between subjects with 1SS and Xerostomia but a larger sample size is required to confirm these findings. The results of this limited study suggest that a disease‐specific measure is required to assess the impact 1SS on health‐related Quality of life (QOL).     

Birth Weight,Adult Body Composition,and Subcutaneous Fat Distribution

Objectives: To investigate if birth weight is related to both body mass index (BMI) and distribution of subcutaneous fat at adult age. Research Methods and Procedures: A 9‐year longitudinal study was performed in 229 subjects (192 women) with ages ranging from 27 to 36 years. Birth weight was retrieved by a questionnaire, and adult weight, height, skinfold thicknesses, and waist‐to‐hip ratio (WHR) were repeatedly measured at mean ages 27, 29, 31, and 36 years. BMI, sum of four skinfolds (S4S), the ratio between two truncal skinfolds and S4S (SS/S4S), and the ratio between WHR and the cross‐sectional area of the left thigh were calculated with the available data. Results: The adjusted model showed that in women, birth weight was significantly negatively related to adult S4S [β = ?5.211; (?9.768 to ?0.654)], waist circumference [β = ?1.449; (?2.829 to ?0.069)], and SS/S4S ratio [β = ?3.579; (?5.296 to ?1.862)]. In men, a significant negative association was observed between birth weight and adult WHR [β = ?1.096; (?2.092 to ?0.100)] only. Other relationships showed, although not significantly, the same negative trend, namely that lower birth weight is related to higher adult body fat mass (S4S) and a more truncal subcutaneous fat distribution (SS/S4S). No associations were found between birth weight and either adult BMI or the cross‐sectional area of the thigh. Discussion: Lower birth weight is, in both adult men and women, related to a higher adult subcutaneous fat mass and a more truncal distribution of subcutaneous fat, indicating a higher risk for obesity.     

Obesity Impacts on General Practice Appointments

Objective: To quantify the impact of obesity on the number of visits to both primary and secondary care teams. Research Methods and Procedures: The adult populations of 80 general practices throughout the United Kingdom were classified according to their BMI. We undertook a cross‐sectional survey of computer‐generated and handwritten records of 6150 obese people (BMI ≥ 30 kg/m²) and 1150 normal weight (BMI = 18.5 to 24.9 kg/m²) control subjects over an 18‐month retrospective period. Results: Obese patients made significantly more visits to the general practitioner (GP), practice nurse (PN), and hospital outpatient units than normal weight patients (all p < 0.001), and they were admitted to the hospital more often (p = 0.034). For both GP and PN visits, the relationship remained after adjusting for age, sex, social deprivation category, country, and number of comorbidities. Among obese patients, there was an increasing relationship between frequent GP visits (at least four appointments) and greater BMI, which remained significant after adjustment had been made for age, sex, deprivation, country, and number of comorbidities. Discussion: The human resource burden to general practice is significantly higher in the obese population than in the normal weight population, even when adjusted for confounding factors. The increase in prevalence of obesity will continue to put pressure on GP and PN time unless appropriate action is taken.     

Asthma and Maternal Body Mass Index Are Related to Pediatric Body Mass Index and Obesity: Results from the Third National Health and Nutrition Examination Survey

Objective: Clinical research has shown an increased prevalence of obesity in children with asthma. This study was designed to assess the relationship between asthma and pediatric body mass index (BMI) in a national database and to examine factors that may modify this relationship. Design: The cross‐sectional relationship between asthma and pediatric BMI and obesity (BMI ≥ 85th percentile) was studied. Variables that may influence the relationship between asthma and pediatric BMI, such as race/ethnicity and television watching were included in the model for the total sample. A smaller sample of 3009 white and African American youth were studied in regression models including maternal BMI. Study Population: A nationally representative crosssectional sample of 5154 children and adolescents of 6 to 16 years of age from the Third National Health And Nutrition Examination Survey. Results: In the full sample, asthma and television watching were related to BMI, accounting for 3% of the variance in BMI. When maternal BMI was included in the nonHispanic sample, television watching, maternal BMI, and the interaction of maternal BMI and asthma were related to youth BMI, accounting for 15% of the variance. The standardized BMI z‐score for those youth without asthma and no maternal obesity was 0.06, which increased to 0.33 if the youth had asthma, to 0.70 if the youth did not have asthma but the mother was obese, and to 1.71 if the youth had asthma and the mother was obese. Asthma, television watching, and maternal BMI were independent predictors of youth obesity. Conclusions: BMI and prevalence of obesity is higher in youth with asthma. Pediatric BMI, but not obesity, is also related to the interaction of asthma and maternal BMI in white and African American youth. Comorbidity of asthma and obesity may complicate treatment of either condition, and prevention of obesity should be encouraged for asthmatic children.     

The Relationship of Childhood Adiposity to Parent Body Mass Index and Eating Behavior

Objective: To better understand risk factors for the development of obesity in early childhood, we examined the association between children's adiposity and their parents' eating behavior and body mass index (BMI). Research Methods and Procedures: Parents of 85 white children 36 months of age (49 boys and 36 girls) completed the Three‐Factor Eating Questionnaire measuring three dimensions of parent eating behavior: disinhibited eating, cognitive restraint of eating, and susceptibility to hunger. Parent BMI (kg/m²) was calculated using self‐reported height and weight. The children's percentage body fat was assessed by dual energy X‐ray absorptiometry analysis. Results: Twenty‐six percent of parents were obese (BMI ≥ 30 kg/m²). Both maternal and paternal BMI were associated with higher scores for disinhibition (r = 0.69 and r = 0.68, p < 0.001), and maternal BMI was also associated with higher scores for hunger (r = 0.51, p < 0.001). There were no significant relationships between children's percentage body fat and parent eating scores, and the correlation between children's percentage body fat and parent BMI was significant only between mothers and daughters (r = 0.35, p = 0.04). Obese parents were no more likely to have a child who was fatter (upper quintile of percentage body fat for gender). Discussion: Among 36 month‐old white children, parent eating behavior was related to parent BMI, but not to children's adiposity. There was only a weak relationship between parent BMI and child adiposity. Despite the aggregation of adiposity within families due to shared genes and environments, children may not express differences in susceptibility to obesity by 3 years of age.     

Cross‐Sectional and Longitudinal Associations between Body Mass Index and Marriage‐Related Factors

Objective: To assess the relationship between marriage and obesity. Research Methods and Procedures: Cross‐sectional and longitudinal associations were examined between participant body mass index (BMI), spouse BMI, and participant diet and exercise habits. Results: Spouse and participant BMI and BMI changes over 2 years were significantly associated. Participant BMI was associated with higher consumption of calorie‐dense foods and lower frequency of physical activity. Participants’ eating and exercise habits were only weakly related to spouse BMI. BMI did not predict the likelihood of marriage or divorce. However, marriage was associated with a significant 2‐year weight gain and divorce with a significant 2‐year weight loss. Discussion: The results suggest that spouse similarity in BMI is at least partly due to shared environment. The observed effects of marriage and divorce on weight may be due to the influence of marriage on inducements to eat (e.g., shared meals) or on motivation for weight control.     

Relationship of number of remaining teeth to health-related quality of life in community-dwelling elderly

Objective: The aim of this study was to evaluate the relationship between number of remaining teeth and health‐related quality of life in community‐dwelling elderly. Subjects: A total of 207 participants who were community‐dwelling, 85 years of age. Data were from a population‐based study of age‐related general and oral health in Fukuoka Prefecture, Japan. Measurements: The Japanese version of the Short Form 36 Health Survey (SF‐36). Results: The mental component score for the participants, from the SF‐36, was higher than the Japanese national norm for those aged ≥70 years. There were no significant differences in the mean of any scores on the SF‐36 by having spouse, living with family, or education level. The mean of the SF‐36 scores of physical functioning (PF) and of the physical component scores were significantly higher in the 85‐year‐old participants with ≥20 teeth than in those with ≤19 teeth (p < 0.05 and p < 0.01 respectively). In addition, a significant difference (p < 0.05) was observed between the mean of participants with ≥20 teeth and those with ≤19 teeth after adjustment for region where the participant lived, activities of daily living (ADL), and sex. The PF (p < 0.001), role‐physical (p < 0.005), bodily pain (p < 0.001), vitality (p < 0.001), social functioning (p < 0.05), and physical component (p < 0.001) scores were significantly higher in participants with a good activities of daily living (ADL) assessment. However, ADL was not associated with the number of teeth. Conclusions: The findings of the present study indicated that 85‐year‐old participants with ≥20 teeth had better subjective physical health than those with ≤19 teeth.     

Binge Status and Quality of Life after Gastric Bypass Surgery: A One‐Year Study

Objective: This study evaluated gastric bypass surgery outcomes according to presurgical binge eating severity. Research Methods and Procedures: Adult patients completed assessment questionnaires including the Short Form‐36, Gormally Binge Eating Scale (BES), and Beck Depression Inventory (BDI) before and 12 months after surgery. Results: One hundred nine patients (18 men, 91 women) were recruited. Based on their baseline BES scores, patients were non‐ [n = 52 (48%)], moderate [n = 31 (28%)], or severe [n = 26 (24%)] binge eaters. Although the percentage of excess weight loss was greatest after 12 months in the severe binge eaters, the difference among groups was not significant. Severe binge eaters had higher baseline BDI scores than either non‐ or moderate binge eaters (p = 0.001). After surgery, BDI scores declined significantly in all groups from the baseline scores but remained higher postoperatively in the severe binge eaters (p = 0.018). BES scores declined significantly (p = 0.000) after surgery within all groups. There was no difference in the Short Form‐36 physical component summary scores at baseline among groups. Mental component summary scores were significantly lower in the severe binge eaters (p = 0.001). After surgery, there was no difference among groups in either physical or mental component summary scores. Discussion: In conclusion, data from the present study suggest that patients have similar outcomes in terms of improved depression scores, binge eating behavior, and health‐related quality of life regardless of their binge eating severity before surgery. Patients with the most severe binge eating behavior before surgery showed the most improvement when assessed 12 months after surgery.     

Natriuretic Peptide Clearance Receptor Alleles and Susceptibility to Abdominal Adiposity

Objective: To test the association of the C(?55)A polymorphism of the natriuretic peptide clearance receptor (NPRC) with blood pressure (BP), overweight/obesity, and body fat distribution in a large male adult population. Research Methods and Procedures: The study population was from a cross‐sectional and follow‐up study of 787 untreated male participants in the 1994 to 1995 follow‐up examination of the Olivetti Heart Study in Naples (356 of whom were examined previously in 1975). BP and anthropometric measures were taken, and biochemical assays were performed. The NPRC gene polymorphism C(?55)A was evaluated by polymerase chain reaction and HgaI digestion. Results: In the whole study population, there was no difference in BP, BMI, and biochemical tests among genotypes. Considering an A(?55) recessive model of inheritance, the AA subjects had lower BMI and waist circumference and lower prevalence of overweight, obesity, and abdominal adiposity as compared with the CC+CA subjects. On reviewing the characteristics of the subgroup previously examined in 1975, the AA subjects had already lower BMI, and their 20‐year rate of overweight and obesity was lower than the CC+CA subjects; no difference was observed in the rate of hypertension. Discussion: Male subjects carrying the A(?55)A NPRC genotype had a significantly lower prevalence of overweight, obesity, and abdominal adiposity. They also had a lower 20‐year rate of overweight compared with CC+CA individuals. These findings from a large unselected and untreated male population are in keeping with the recent evidence of a powerful lipolytic and lipomobilizing activity of natriuretic peptides.