Correlates of health-related quality of life in overweight and obese adults with type 2 diabetes

Objective: This paper describes and examines conceptually relevant correlates of health‐related quality of life (HRQL) in overweight or obese persons with type 2 diabetes. Research Design and Procedures: The investigation was a cross‐sectional study of 5145 overweight or obese adults with type 2 diabetes between the ages of 45 and 74 years. Analyses examined the relationship that demographic characteristics, disease burden, and cardiovascular fitness had with HRQL: the Short Form 36 (SF‐36) and the Beck Depression Inventory (BDI) II. Results: Means for the SF‐36 physical component summary (PCS) scores, the mental component summary scores, and the BDI‐II were as follows: 47.0, 54.0, and 5.7. Less desirable PCS scores were related to several comorbidities, insulin use, physical complaints, a high BMI, low metabolic equivalent (MET) capacity, and lower education. Interactions between categories of obesity and MET capacity revealed that greater BMI was related to lower PCS scores when individuals had lower MET capacities yet was absent for those individuals who had higher MET capacities. In addition, although greater BMI was associated with more severe depressive symptomatology, this association was the most dramatic for those with class III obesity who had low MET capacity. Discussion: Although participants in Look AHEAD had a favorable profile on the SF‐36 and the BDI‐II at baseline, lower PCS scores were related to disease severity and the presence of other comorbidities. More important, although the temporal ordering of associations cannot be determined in a cross‐sectional design, the interactions between obesity class and MET capacity suggest that the adverse effect of BMI on PCS and BDI‐II scores may be buffered by higher MET capacities.     

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.     

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.     

The effect of obesity management on body image in patients seeking treatment at medical centers

Objective: Body image dissatisfaction is common in treatment‐seeking patients with obesity. We aimed to investigate the effects of obesity management on body image in patients with obesity attending Italian medical centers for weight loss programs. Research Methods and Procedures: A total of 473 obese patients seeking treatment in 13 Italian medical centers (80% females; age, 45.9 ± standard deviation 11.0 years; BMI, 36.8 ± 5.7 kg/m²) were evaluated at baseline and after a 6‐month weight loss treatment. Body uneasiness, psychiatric distress, and binge eating were tested by Body Uneasiness Test (BUT, Part A), Symptom CheckList‐90 (SCL‐90), and Binge Eating Scale (BES), respectively. Results: At 6‐month follow‐up, the percentage weight loss was significantly higher in men (9.0 ± 6.3%) than in women (6.8 ± 7.3%; p = 0.010). Both men and women had a significant improvement in BUT Global Severity Index and in all of the BUT subscales with the exception of the Compulsive Self‐Monitoring subscale. Linear regression analysis selected baseline psychological and behavioral measures (global score of BUT and SCL‐90) and improved psychiatric distress and binge eating as independent predictors of changes in basal body dissatisfaction in females, whereas in males, changes were associated only with baseline BUT‐Global Severity Index score, binge eating, and its treatment‐associated improvement. Pre‐treatment BMI and BMI changes did not enter the regression. Discussion: Obesity treatment, even with a modest degree of weight loss, is associated with a significant improvement of body image, in both females and males. This effect depends mainly on psychological factors, not on the amount of weight loss.     

Changes in obesity-related attitudes in women seeking weight reduction

Objective: To examine changes in obesity‐related attitudes in a sample of obese women who participated in either dieting or non‐dieting interventions. Research Methods and Procedures: A total of 123 obese women were randomly assigned to one of three weight control programs: meal replacement diet, balanced deficit diet, or a non‐dieting program. (The first two groups were combined as a single dieting condition.) Participants completed questionnaires (at baseline, Week 20, and Week 40) to assess beliefs and attitudes about obesity, along with measures of self‐esteem, depression, and body image. Results: At Weeks 20 and 40, participants in the non‐dieting condition reported significantly less negativity about obesity than those in the dieting group. Women in the dieting condition did not report an increase in negative attitudes toward obesity, despite losing significantly more weight than non‐dieting participants. Both groups experienced improvements in self‐esteem, body image, and depressive symptoms. Improvement in self‐esteem was associated with a reduction in negativity about obesity and with improvements in body image. Discussion: The non‐dieting program produced greater reductions in negative attitudes toward obesity than the dieting intervention. Dieting (with successful weight loss), however, did not result in greater negativity toward obesity. Non‐dieting programs seem to be useful in obese women for improving self‐esteem, body image, and internalized negative attitudes about obesity.     

Weight Loss Intervention for Obese Older Women: Improvements in Performance and Function

Objectives: To determine the feasibility of a 3‐month weight loss program for obese older women with short‐term laboratory, performance, functional, and life quality outcomes. Research Methods and Procedures: This was a pre‐ and postintervention design. Community‐dwelling women (n = 26) ≥60 years old with BMI ≥30 were enrolled in a 3‐month weight loss program promoting prudent diet, behavior modification, and physical activity. The primary emphasis of the program was on health, function, and quality of life. The approach was specifically tailored to older subjects through use of large‐font instructional materials, supplementation of calcium and vitamin D, and moderate weight loss and physical activity goals. An initial assessment by a bariatric physician was followed by eight visits with a dietitian and a follow‐up physician visit. Measurements included anthropometrics, body composition, laboratories, pedometer, physical performance, Short‐Form 36 Health Status Survey (SF‐36), Life Space Assessment, and dietary assessment. Results: Eighteen participants completed the program. There was a significant decrease in mean body weight (100 ± 15 vs. 96 ± 18 kg, p = 0.006), with a mean weight loss of 4.3 ± 5.5 kg (range ?15.5 to +7.20 kg). Significant improvements were observed for diastolic blood pressure, total cholesterol, triglycerides, physical performance, pedometer‐measured step counts, and step climb and descent. Self‐rated physical functioning (SF‐36 subscore) and vitality (SF‐36 subscore) were also significantly improved. Discussion: It is feasible for self‐selected obese older women to achieve a moderate weight loss and increase in physical activity resulting in short‐term improvements in laboratory, physical performance, self‐reported function, vitality, and life quality outcomes.     

Impact of Weight Loss and Regain on Quality of Life: Mirror Image or Differential Effect?

Objective: To compare the impact of weight regain and weight loss on health‐related quality of life. Research Methods and Procedures: Subjects were 122 (106 women, 16 men) overweight and obese participants in a weight reduction program (phentermine‐fenfluramine and dietary counseling) who had initially lost at least 5% of their total body weight and then regained at least 5% of their weight during the follow‐up period. Follow‐up periods ranged from 10 to 41 months (mean, 28 months). Participants completed the Impact of Weight on Quality of Life‐Lite, an obesity‐specific health‐related quality of life (HRQOL) measure, at 3‐month intervals. Results: Mean BMI at baseline was 40.9 ± 6.6 kg/m² (range, 29.2 to 63.7 kg/m²). Average weight loss from entry was 18.8 ± 6.7% (range, 6.0% to 43.7%), and average regain was 10.1 ±4.4% of baseline weight (range, 5.0% to 30.6%). The effects of weight regain on HRQOL mirrored the effects of weight loss—rates of HRQOL change were similar in magnitude but different in direction for comparable weight loss and regain. Those with more severe initial impairments in HRQOL experienced greater improvements in HRQOL during weight loss as well as greater deterioration during weight regain than those with less severe impairments. Discussion: Weight loss and regain produced mirror image changes in HRQOL. The initial severity of HRQOL impairment had a greater impact on the magnitude of HRQOL change than the direction of weight change. Findings underscore the importance of maintaining weight loss for the purposes of retaining obesity‐specific HRQOL benefits.     

Patient characteristics as predictors of weight loss after an obesity treatment for children

Objective: To examine pretreatment patient characteristics as predictors of treatment outcome 2 years after completion of an inpatient treatment for children with obesity. Research Methods and Procedures: Children (N = 122) ranging in age from 7 to 17 years [mean, 12.7 ± 2.3 (SD) years] with a mean adjusted BMI of 179.5 ± 28.6% participated in an inpatient obesity treatment program. Children (90.2% response rate) participated in the 2‐year follow‐up. Eight predictors, administered at baseline, were entered in separate regression analyses, with weight loss and changes on three psychological health measures as the outcome measures. Results: Analyses revealed that baseline degree of overweight, age, and initial weight loss were significant positive predictors of weight loss 2 years after treatment, whereas eating disorder characteristics were a negative predictor. Sex, socioeconomic status, global self‐esteem, and symptoms of psychopathology did not predict weight loss. With regard to the psychological outcome measures, baseline symptomatology emerged as the most important predictor of treatment changes. Discussion: Long‐lasting weight loss is associated with severity of pretreatment characteristics. Identification of the clinical markers for long‐term response to treatment is useful to set realistic weight loss goals for clients and to tailor treatment programs to patient characteristics.     

Bodyweight Changes Are Associated with Reduced Health Related Quality of Life: The Hordaland Health Study

There is lack of studies investigating the association between bodyweight changes and health related quality of life (HRQL). The aim was to study the effect of relative changes in bodyweight over time on HRQL. In the Hordaland Health Study, 9276 men and 10433 women aged 40–47 years were included. Weight and height were measured and information on bodyweight changes during the last 5 years, physical activity and smoking was obtained from self–administered questionnaires including the Medical Outcomes Study MOS short form-12 including a Physical health Composite Score (PCS) and a Mental health Composite Score (MCS). Increasing bodyweight changes were associated with marked reduced scores in PCS and MCS also after adjustment for body mass index (BMI), physical activity and smoking. Men and women with a variation in weight with more than 15% during the last 5 years reported a mean score of MCS that was 0.48 standard deviation (SD) (3.9/8.1) and 0.35 SD (3.1/8.9) lower than those reporting a variation in weight less than 5%. No major differences were found between those who at date of examination were at the lower and higher end of the reported weight interval. There were no significant differences in the associations between men and women. Our findings confirm that increasing bodyweight changes are associated with reduced physical and mental health beyond what is related to BMI itself.     

Health Outcomes of Gastric Bypass Patients Compared to Nonsurgical,Nonintervened Severely Obese

Favorable health outcomes at 2 years postbariatric surgery have been reported. With exception of the Swedish Obesity Subjects (SOS) study, these studies have been surgical case series, comparison of surgery types, or surgery patients compared to subjects enrolled in planned nonsurgical intervention. This study measured gastric bypass effectiveness when compared to two separate severely obese groups not participating in designed weight‐loss intervention. Three groups of severely obese subjects (N = 1,156, BMI ≥ 35 kg/m²) were studied: gastric bypass subjects (n = 420), subjects seeking gastric bypass but did not have surgery (n = 415), and population‐based subjects not seeking surgery (n = 321). Participants were studied at baseline and 2 years. Quantitative outcome measures as well as prevalence, incidence, and resolution rates of categorical health outcome variables were determined. All quantitative variables (BMI, blood pressure, lipids, diabetes‐related variables, resting metabolic rate (RMR), sleep apnea, and health‐related quality of life) improved significantly in the gastric bypass group compared with each comparative group (all P < 0.0001, except for diastolic blood pressure and the short form (SF‐36) health survey mental component score at P < 0.01). Diabetes, dyslipidemia, and hypertension resolved much more frequently in the gastric bypass group than in the comparative groups (all P < 0.001). In the surgical group, beneficial changes of almost all quantitative variables correlated significantly with the decrease in BMI. We conclude that Roux‐en‐Y gastric bypass surgery when compared to severely obese groups not enrolled in planned weight‐loss intervention was highly effective for weight loss, improved health‐related quality of life, and resolution of major obesity‐associated complications measured at 2 years.     

The Common Variant in the FTO Gene Did Not Modify the Effect of Lifestyle Changes on Body Weight: The Finnish Diabetes Prevention Study

The common single‐nucleotide polymorphism in the FTO (fat mass and obesity associated) gene is consistently associated with an increased risk of obesity. However, the knowledge of a potential modifying effect of the FTO gene on changes in body weight achieved by lifestyle intervention is limited. We examined whether the FTO gene variant (rs9939609, T/A) is associated with body weight and BMI and long‐term weight changes in the Finnish Diabetes Prevention Study (DPS). Altogether, 522 (aged 40–65 years; BMI ≥25 kg/m²) subjects with impaired glucose tolerance (IGT) were randomized to control and lifestyle intervention groups. SNP rs9939609 was genotyped from 502 subjects. At baseline, those with the AA genotype had higher BMI than subjects with other genotypes (P = 0.006). The association was observed in women (P = 0.016) but not in men. During the 4‐year follow‐up, the subjects with the AA genotype had consistently the highest BMI (P = 0.009) in the entire study population. The magnitude of weight reduction was greater in the intervention group, but the risk allele did not modify weight change in either of the groups. Our results confirm the association between the common FTO variant and BMI in a cross‐sectional setting and during the long‐term lifestyle intervention. We did not observe association between FTO variant and the magnitude of weight reduction achieved by long‐term lifestyle intervention. Based on the results from the DPS, it is unlikely that the common variant of the FTO gene affects the success of lifestyle modification on weight loss.     

Overweight,Medical Comorbidity and Health‐related Quality of Life in a Community Sample of Women and Men

Associations among gender, overweight and obesity, medical comorbidity, and health‐related quality of life (HRQoL) were examined in a general population sample of 4,181 women and men aged 18–65 years. Anthropometric measurements and medical comorbidity were assessed as part of a computer‐assisted physician interview. HRQoL was assessed with the Physical and Mental Component Summary scales of the Medical Outcomes Study Short Form (SF‐36 PCS, MCS). General linear models were used to examine the associations among gender, weight status, medical comorbidity, and HRQoL. Controlling for age, social status, the occurrence of specific medical conditions, and the total number of medical conditions, mild obesity was associated with impairment in physical health functioning, as measured by the PCS, among women, whereas impairment in men's physical health was apparent only for moderate obesity. There was no association between weight status and psycho‐social functioning, as measured by the MCS, in women, whereas overweight was associated with better perceived psycho‐social functioning in men. The findings are consistent with the hypothesis that w omen suffer a disproportionately large share of the disease burden of overweight and obesity that is not due solely to differences in medical comorbidity. The possibility that aspects of emotional well‐being may mediate the association between obesity and physical health functioning warrants further attention in this regard. The findings also indicate the need to stratify data by gender and to include more sensitive measures of psycho‐social functioning in future studies.     

Leptin Responses to Weight Loss in Postmenopausal Women: Relationship to Sex‐Hormone Binding Globulin and Visceral Obesity

Objective: Leptin concentrations increase with obesity and tend to decrease with weight loss. However, there is large variation in the response of serum leptin levels to decreases in body weight. This study examines which endocrine and body composition factors are related to changes in leptin concentrations following weight loss in obese, postmenopausal women. Research Methods and Procedures: Body composition (DXA), visceral obesity (computed tomography), leptin, cortisol, insulin, and sex hormone‐binding globulin (SHBG) concentrations were measured in 54 obese (body mass index [BMI] = 32.0 ± 4.5 kg/m²; mean ± SD), women (60 ± 6 years) before and after a 6‐month hypocaloric diet (250 to 350 kcal/day deficit). Results: Body weight decreased by 5.8 ± 3.4 kg (7.1%) and leptin levels decreased by 6.6 ± 11.9 ng/mL (14.5%) after the 6‐month treatment. Insulin levels decreased 10% (p < 0.05), but mean SHBG and cortisol levels did not change significantly. Relative changes in leptin with weight loss correlated positively with relative changes in body weight (r = 0.50, p < 0.0001), fat mass (r = 0.38, p < 0.01), subcutaneous fat area (r = 0.52, p < 0.0001), and with baseline values of SHBG (r = 0.38, p < 0.01) and baseline intra‐abdominal fat area (r = ?0.27, p < 0.06). Stepwise multiple regression analysis showed that baseline SHBG levels (r² = 0.24, p < 0.01), relative changes in body weight (cumulative r² = 0.40, p < 0.05), and baseline intra‐abdominal fat area (cumulative r² = 0.48, p < 0.05) were the only independent predictors of the relative change in leptin, accounting for 48% of the variance. Discussion: These results suggest that obese, postmenopausal women with a lower initial SHBG and more visceral obesity have a greater decrease in leptin with weight loss, independent of the amount of weight lost.     

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.     

Effects of Obesity Phenotype on Coronary Heart Disease Risk Factors in Response to Weight Loss

Objective: To determine whether there is a difference in risk‐factor improvement for coronary heart disease (CHD) between the intra‐abdominal fat (IF) and subcutaneous fat (SF) obesity phenotypes after weight loss. Research Methods and Procedures: Subjects included 55 mildly obese women (body mass index, 25 to 36 kg/m²; age range, 34 to 63 years) who had at least two of three CHD risk factors [systolic blood pressure (SBP), >140 mm Hg; total cholesterol (TC), >220 mg/dL; fasting plasma glucose, >110 mg/dL). Using computed tomography, IF obesity was classified as ≥110 cm² of the IF area measured; subjects with <110 cm² were classified as having SF obesity. The IF and SF obesity groups were divided into diet‐only and diet‐plus‐exercise groups. Assays and measurements were performed before and after a 14‐week (98‐day) intervention. Results: Weight was reduced by 7 to 10 kg in each group. The IF and SF areas, SBP, diastolic blood pressure, TC, and low‐density lipoprotein‐cholesterol were significantly reduced in all groups (p < 0.01). Reduction in IF area was greater in IF obesity than in SF obesity, whereas no differences were observed in the improvement of CHD risk factors. Sample sizes needed for observing a significant difference for SBP, TC, triglycerides, and fasting plasma glucose were greater than the number of subjects in this study. Discussion: Our results suggest that the influence of the obesity phenotype on improving CHD risk factors is not apparent. A larger study is needed to prove the validity of this finding.     

Resting Energy Expenditure Changes With Weight Loss: Racial Differences

It is controversial whether weight loss reduces resting energy expenditure (REE) to a different magnitude in black and white women. This aim of this study was to determine whether changes in REE with weight loss were different between black and white postmenopausal women, and whether changes in body composition (including regional lean and fat mass) were associated with REE changes within each race. Black (n = 26) and white (n = 65) women (age = 58.2 ± 5.4 years, 25 < BMI < 40 kg/m²) completed a 20‐week weight‐loss intervention. Body weight, lean and fat mass (total body, limb, and trunk) via dual‐energy X‐ray absorptiometry, and REE via indirect calorimetry were measured before and after the intervention. We found that baseline REE positively correlated with body weight, lean and fat mass (total, limb, and trunk) in white women only (P < 0.05 for all). The intervention decreased absolute REE in both races similarly (1,279 ± 162 to 1,204 ± 169 kcal/day in blacks; 1,315 ± 200 to 1,209 ± 185 kcal/day in whites). REE remained decreased after adjusting for changes in total or limb lean mass in black (1,302–1,182 kcal/day, P = 0.043; 1,298–1,144 kcal/day, P = 0.006, respectively), but not in white, women. Changes in REE correlated with changes in body weight (partial r = 0.277) and fat mass (partial r = 0.295, 0.275, and 0.254 for total, limb, and trunk, respectively; P < 0.05) independent of baseline REE in white women. Therefore, with weight loss, REE decreased in proportion to the amount of fat and lean mass lost in white, but not black, women.     

Weight Loss Is Associated With Increased Serum 25‐Hydroxyvitamin D in Overweight or Obese Women

Low circulating concentrations of vitamin D metabolites have been associated with increased risk for several diseases and clinical conditions. Large observational studies and surveys have shown that obesity is independently associated with lower serum 25‐hydroxyvitamin D (25(OH)D) concentration. Few studies have examined the effect of weight loss on serum 25(OH)D concentration. The purpose of this study was to prospectively examine the effect of weight loss on serum 25(OH)D concentration. Data were collected from 383 overweight or obese women who participated in a 2‐year clinical trial of a weight‐loss program, in which 51% (N = 195) lost at least 5% of baseline weight by 24 months, 18% (N = 67) lost 5–10%, and 33% (N = 128) lost >10%. Women who did not lose weight at 24 months had an increase in serum 25(OH)D of 1.9 (9.7) ng/ml (mean (SD)); 25(OH)D increased by 2.7 (9.1) ng/ml for those who lost 5–10% of baseline weight; and 25(OH)D increased by 5.0 (9.2) ng/ml for those who lost >10% of baseline weight (P = 0.014). At baseline, 51% (N = 197) of participants met or exceeded the recommended serum concentration of 20 ng/ml. By study end, 64% (N = 230) of overweight or obese women met this goal, as well as 83% (N = 20) of those whose weight loss achieved a normal BMI. These findings suggest that weight loss, presumably associated with a reduction in body fat, is associated with increased serum 25(OH)D concentration in overweight or obese women.     

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.     

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.     

Relationship of Psychiatric Diagnosis and Weight Loss Maintenance in Obese Breast Cancer Survivors

Objective: Obese breast cancer survivors are a unique population for weight loss counseling because both obesity and a diagnosis of breast cancer can increase the risk of depression. In this pilot study, weight loss maintenance was examined in obese breast cancer survivors with relationship to psychiatric diagnosis. Research Methods and Procedures: Forty‐eight subjects were enrolled. The intervention, which used individualized counseling for diet and exercise, lasted 24 months. After a 6‐month period of no contact with study subjects, a follow‐up body weight was obtained at 30 months. Results: The nine subjects who dropped out of the study before 12 months all failed to complete a structured psychiatric interview. Of the remaining 39 subjects, 9 had major depressive disorder, and 10 had a definable psychiatric disorder of lesser severity such as adjustment disorder. Subjects with any type of psychiatric diagnosis displayed significantly less weight loss at the 12‐month time‐point than those with no diagnosis (6.3% vs. 12.6% loss of baseline weight, respectively). At the 30‐month follow‐up visit, subjects with any psychiatric disorder had a mean weight loss of 1.2% of baseline weight compared with 7.8% weight loss in subjects with no diagnosis. Discussion: These results suggest that the presence of psychiatric disorders can interfere with weight loss. Therefore, recognition and treatment of psychiatric disorders may be important in attempts at weight reduction, and this will be especially important in populations such as cancer survivors, who seem to have higher rates of depression and other disorders than the general population.