Pediatricians’ Own Weight: Self‐perception,Misclassification, and Ease of Counseling

Objectives: Pediatricians underdiagnose overweight and feel ineffective at counseling. Given the relationship between physicians’ health and health habits and counseling behaviors, we sought to determine the 1) percentage of pediatricians who are overweight; 2) accuracy of pediatricians’ own weight status classification; and 3) relationship between weight self‐perception and perceived ease of obesity counseling. Research Methods and Procedures: This study was a cross‐sectional, mail survey of North Carolina pediatricians that queried about their weight status and ease of counseling. Accuracy of pediatricians’ self‐classification of weight status was compared with BMIs derived from self‐reported height and weight. Using logistic regression, controlling for potential confounding variables, we examined the association between weight perception and ease of counseling. Results: The unadjusted response rate was 62%, and the adjusted response rate was 71% (n = 355). Nearly one‐half (49%) of overweight pediatricians did not identify themselves as such. Men had greater adjusted odds of misclassifying overweight than women [odds ratio (OR), 3.61; 95% confidence interval (CI) = 1.81, 7.21]. Self‐classified “thin” pediatricians had nearly six times the odds of reporting more counseling difficulty as a result of their weight than “average” weight pediatricians (OR = 5.69; 95% CI = 2.30, 14.1), and self‐identified “overweight” pediatricians reported nearly four times as great counseling difficulty as “average” weight physicians (OR = 3.84; 95% CI = 1.11, 13.3), after adjustment for self‐reported BMI weight status and other potential confounders. Discussion: The roles that physician weight misclassification and self‐perception potentially play in influencing rates of obesity counseling warrant further research.     

Childhood Obesity: Do Parents Recognize This Health Risk?

Objective: This study examined parents’ understanding of excess weight as a health risk, knowledge of healthy eating habits, and recognition of obesity in their children. Research Methods and Procedures: An anonymous questionnaire was distributed during well‐care visits involving children 4 to 8 years of age at a pediatric faculty practice. Parents indicated their level of concern about excess weight and other familiar health risks using a four‐point Likert scale, answered multiple‐choice questions concerning healthy eating patterns, and communicated their perceptions about their child's weight using a visual analog scale. A parent's perception was considered “accurate” if it deviated from the child's growth chart percentile by <30 points. Results: Of the 83 parents surveyed, 23% (19/83) had overweight children (≥95th percentile of age‐ and gender‐specific BMI growth charts). These parents did not differ from other parents in their level of concern about excess weight as a health risk or in their knowledge of healthy eating patterns, but the two groups of parents did differ in the accuracy of their perceptions about their children's weight. Only 10.5% of parents of overweight children (2/19) perceived their child's weight accurately compared with 59.4% of other parents (38/64; p < 0.001). Parents of overweight children invariably underestimated their children's weight. The median difference between their perception and the growth chart percentile was ?45 points. Discussion: Given that most parents of overweight children fail to recognize that their child has a weight problem, pediatricians should develop strategies to help these parents correct their misperceptions.     

Adult Obesity and Office‐based Quality of Care in the United States

Nationally representative data on the quality of care for obese patients in US‐ambulatory care settings are limited. We conducted a cross‐sectional analysis of the 2005 and 2006 National Ambulatory Medical Care Survey (NAMCS). We examined obesity screening, diagnosis, and counseling during adult visits and associations with patient and provider characteristics. We also assessed performance on 15 previously published ambulatory quality indicators for obese vs. normal/overweight patients. Nearly 50% (95% confidence interval (CI): 46–54%) of visits lacked complete height and weight data needed to screen for obesity using BMI. Of visits by patients with clinical obesity (BMI ≥30.0 kg/m²), 70% (66–74%) were not diagnosed and 63% (59–68%) received no counseling for diet, exercise, or weight reduction. The percentage of visits not being screened (48%), diagnosed (66%), or counseled (54%) for obesity was also notably higher than expected even for patients with known obesity comorbidities. Performance (defined as the percentage of applicable visits receiving appropriate care) on the quality indicators was suboptimal overall. In particular, performance was no better than 50% for eight quality indicators, which are all related to the prevention and treatment of obesity comorbidities, e.g., coronary artery disease, hypertension, hyperlipidemia, asthma, and depression. Performance did not differ by weight status for any of the 15 quality indicators; however, poorer performance was consistently associated with lack of height and weight measurements. In conclusion, many opportunities are missed for obesity screening and diagnosis, as well as for the prevention and treatment of obesity comorbidities, in office‐based practices across the United States, regardless of patient and provider characteristics.     

Recognition of Childhood Overweight during Health Supervision Visits: Does BMI Help Pediatricians?

Objective: To assess, in diverse pediatric practices, the frequency of overweight/obesity (OW/OB) identification during health supervision visits and its association with BMI curve use. Research Methods and Procedures: Pediatricians in public and private practice in St. Louis, MO, participated in a study of the care of chronic conditions during health supervision visits. Requested information from 30 visits per pediatrician of children 6 to 17 years of age included the visit note, the growth chart, and a one‐page questionnaire about patient demographics and visit content. Pediatricians indicated the presence and discussion of common chronic conditions, including OW/OB. Identification was compared with patient BMI category, and associations between identification and patient and visit characteristics, including BMI curve use, were examined. Results: Twenty‐one (40%) of contacted pediatricians returned information from 557 visits. Pediatricians identified OW/OB in 27% of children with a BMI at the 85th to 94th percentile and 86% of children with a BMI at or above the 95th percentile. Identification was higher in adolescents but was not associated with patient sex or race, practice setting, insurance type, or visit length. Only 41% of growth charts were current, and 6.1% had BMI plotted. BMI plotting was associated with OW/OB identification when the BMI was at the 85th to 94th percentile but not when the BMI was at or above the 95th percentile. After controlling for BMI percentile, OW/OB identification was significantly associated with diet counseling (odds ratio, 7.46; 95% confidence interval, 3.42 to 16.24) and exercise counseling (odds ratio, 5.57; 95% confidence interval, 2.61 to 11.90). Discussion: Despite low BMI curve use, pediatricians recognized most overweight/obese children with a BMI at or above the 95th percentile. BMI plotting may increase recognition in mildly overweight children.     

Youths' perceptions of overweight-related prevention counseling at a primary care visit

Objective: We examined youths’ report of receiving specific overweight‐related preventive counseling and perceived readiness to adopt nutrition and physical activity behaviors recommended by their clinicians. Research Methods and Procedures: We surveyed 324 youth 10 to 18 years old who had a physical exam within the past year. The survey included questions on height, weight, race/ethnicity, mother's education, and topics they discussed with their clinician during their visit. We used multivariable analyses to examine whether weight status and sociodemographic characteristics were predictors of which youth received counseling from their clinicians and which youth were ready to change. Results: The mean (standard deviation) age of participants was 13.7 (1.8) years; 54% were black, and 22% were Hispanic. Less than one‐half of participants reported discussing sugar‐sweetened beverages [38%; 95% confidence interval (CI), 32% to 43%] or television viewing (41%; 95% CI, 36% to 47%) with their clinicians. In multivariable analyses adjusting for participant's age, sex, race/ethnicity, overweight status, and mother's educational attainment, youth whose mothers lacked education beyond high school were significantly less likely to report receiving counseling on any overweight‐specific topic including television viewing [odds ratio (OR), 0.46; 95% CI, 0.27, 0.79], sugar‐sweetened beverage (OR, 0.47; 95% CI, 0.28, 0.80), and fast food consumption (OR, 0.54; 95% CI, 0.32, 0.92). In addition, youth 10 to 14 years old were more likely than those 15 to 18 years old to report they would try to change their television viewing (OR, 4.10; 95% CI, 1.78, 9.44) if recommended by their clinician. Discussion: Youth report infrequently receiving counseling on specific overweight prevention topics during routine primary care visits. Our findings suggest that greater efforts may be needed to reduce social class disparities in overweight prevention counseling and that counseling to prevent overweight in youth may be more acceptable to younger children.     

Criteria for Patient Selection and Multidisciplinary Evaluation and Treatment of the Weight Loss Surgery Patient

Objective: To provide evidence‐based guidelines for patient selection and to recommend the medical and nutritional aspects of multidisciplinary care required to minimize perioperative and postoperative risks in patients with severe obesity who undergo weight loss surgery (WLS). Research Methods and Procedures: Members of the Multidisciplinary Care Task Group conducted searches of MEDLINE and PubMed for articles related to WLS in general and medical and nutritional care in particular. Pertinent abstracts and literature were reviewed for references. Multiple searches were carried out for various aspects of multidisciplinary care published between 1980 and 2004. A total of 3000 abstracts were identified; 242 were reviewed in detail. Results: We recommended multidisciplinary screening of WLS patients to ensure appropriate selection; preoperative assessment for cardiovascular, pulmonary, gastrointestinal, endocrine, and other obesity‐related diseases associated with increased risk for complications or mortality; preoperative weight loss and cessation of smoking; perioperative prophylaxis for deep vein thrombosis and pulmonary embolism (PE); preoperative and postoperative education and counseling by a registered dietitian; and a well‐defined postsurgical diet progression. Discussion: Obesity‐related diseases are often undiagnosed before WLS, putting patients at increased risk for complications and/or early mortality. Multidisciplinary assessment and care to minimize short‐ and long‐term risks include: comprehensive medical screening; appropriate pre‐, peri‐, and postoperative preparation; collaboration with multiple patient care disciplines (e.g., anesthesiology, pulmonary medicine, cardiology, and psychology); and long‐term nutrition education/counseling.     

Disparities in counseling for lifestyle modification among obese adults: insights from the Dallas Heart Study

Clinician counseling is a catalyst for lifestyle modification in obesity. Unfortunately, clinicians do not appropriately counsel all obese patients about lifestyle modification. The extent of disparities in clinician counseling is not well understood. Obese participants (BMI ≥30 kg/m², N = 2097) in the Dallas Heart Study (DHS), a probability‐based sample of Dallas County residents ages 18–65, were surveyed regarding health‐care utilization and lifestyle counseling over the year prior to DHS enrollment. Health‐care utilization and counseling were compared between obese participants across three categories based on the presence of 0, 1, or 2+ of the following cardiovascular (CV) risk factors: hypertension, hypercholesterolemia, or diabetes. Logistic regression modeling was used to determine likelihood of counseling in those with 0 vs. 1+ CV risk factors, stratified by race, adjusting for age, sex, insurance status, and education. Among obese subjects who sought medical care, those with 0 CV risk factors, compared to those with 1 or 2+ CV risk factors, were less likely to report counseling about losing weight (41% vs. 67% vs. 87%, P trend <0.001), dietary changes (44% vs. 71% vs. 85%, P trend <0.001), and physical activity (46% vs. 71% vs. 86%, P trend <0.001). Blacks and Hispanics without CV risk factors had a lower odds of receiving counseling than whites without risk factors on weight loss (adjusted odds ratio (OR), 95% confidence interval (CI) for nonwhites 0.19, [0.13–0.28], whites 0.48, [0.26–0.87]); dietary changes (nonwhites 0.19, [0.13–0.27], whites 0.37, [0.21–0.64]); and physical activity (nonwhites 0.22, [0.16–0.32], whites 0.32, [0.18–0.57]). Lifestyle counseling rates by clinicians are suboptimal among obese patients without CV risk factors, especially blacks and Hispanics. Systematic education about and application of lifestyle interventions could capitalize on opportunities for primary CV risk prevention.     

A Primary Care Intervention for Weight Loss: Results of a Randomized Controlled Pilot Study

Most primary care providers (PCPs), constrained by time and resources, cannot provide intensive behavioral counseling for obesity. This study evaluated the effect of using medical assistants (MAs) as weight loss counselors. The study was a randomized controlled trial conducted in two primary care offices at an academic medical center. Patients (n = 50) had a BMI of 27–50 kg/m² and no contraindications to weight loss. They were randomized to quarterly PCP visits and weight loss materials (Control group) or to the same approach combined with eight visits with a MA over 6 months (Brief Counseling). Outcomes included change in weight and cardiovascular risk factors (glucose, lipids, blood pressure, and waist circumference). Patients in the Brief Counseling and Control groups lost 4.4 ± 0.6 kg (5.1 ± 0.7% of initial weight) and 0.9 ± 0.6 kg (1.0 ± 0.7%), respectively, at month 6 (P < 0.001). There were no significant differences between groups for changes in cardiovascular risk factors. Brief Counseling patients regained weight between month 6 and month 12, when MA visits were discontinued. Attrition was 10% after 6 months and 6% after 12 months. Brief Counseling by MAs induced significant weight loss during 6 months. Office‐based obesity treatment should be tested in larger trials and should include weight loss maintenance counseling.     

Bariatric Surgery Patients’ Views of Their Physicians’ Weight‐Related Attitudes and Practices

Objective: A prior study found that nearly 80% of bariatric surgery patients felt that they were treated disrespectfully by members of the medical profession. This study assessed patient‐physician interactions in a group of bariatric surgery patients and in a group of less obese patients who sought weight loss by other means. Research Methods and Procedures: A total of 105 bariatric surgery candidates (mean BMI, 54.8 kg/m²) and 214 applicants to a randomized controlled trial of the effects of behavior modification and sibutramine (mean BMI, 37.8 kg/m²) completed a questionnaire that assessed patient‐physician interactions concerning weight. Results: Only 13% of bariatric surgery patients reported that they were usually or always treated disrespectfully by members of the medical profession, a percentage substantially lower than that found in the previous study. Surprisingly, surgery patients were significantly more satisfied than nonsurgery patients with the care they received for their obesity. Surgery patients also reported significantly more interactions with physicians concerning obesity and weight loss compared with nonsurgery patients. A substantial percentage of both groups, however, reported that their physician did not discuss weight control with them. Discussion: These and other findings suggest that doctor‐patient interactions concerning weight may have improved in the past decade; however, there is still much room for improvement. Increased efforts are needed to help physicians discuss, assess, and potentially treat obesity in primary care practice.     

Two‐Year Results of Think Health! ¡Vive Saludable!: A Primary Care Weight‐Management Trial

Objective

Think Health! ¡Vive Saludable! evaluated a moderate‐intensity, lifestyle behavior‐change weight‐loss program in primary care over 2 years of treatment. Final analyses examined weight‐change trajectories by treatment group and attendance.

Methods

Adult primary care patients (n = 261; 84% female; 65% black; 16% Hispanic) were randomly assigned to Basic Plus (moderate intensity; counseling by primary care clinician and a lifestyle coach) or Basic (clinician counseling only). Intention‐to‐treat analyses used all available weight measurements from data collection, treatment, and routine clinical visits. Linear mixed‐effects regression models adjusted for treatment site, gender, and age, and sensitivity analyses evaluated treatment attendance and the impact of loss to follow‐up.

Results

Model‐based estimates for 24‐month mean (95% CI) weight change from baseline were ?1.34 kg (?2.92 to 0.24) in Basic Plus and ?1.16 kg (?2.70 to 0.37) in Basic (net difference ?0.18 kg [?2.38 to 2.03]; P = 0.874). Larger initial weight loss in Basic Plus was attenuated by a ~0.5‐kg rebound at 12 to 16 months. Each additional coaching visit was associated with a 0.37‐kg greater estimated 24‐month weight loss (P = 0.01).

Conclusions

These findings in mostly black and Hispanic female primary care patients suggest that strategies to improve treatment attendance may improve weight loss resulting from moderate‐intensity counseling.

     

Improvement of Metabolism among Obese Breast Cancer Survivors in Differing Weight Loss Regimens

Objective: To compare the efficacy of different weight loss regimens on body weight loss and metabolic improvement in breast cancer survivors. Research Methods and Procedures: Forty‐eight obese breast cancer survivors were randomly divided into four groups and were followed for 1 year: 1) the Control group (subjects did not receive specific nutrition counseling); 2) the Weight Watchers group (subjects were given free coupons to attend weekly Weight Watchers meetings); 3) the Individualized group (a registered dietitian provided one‐on‐one nutritional counseling); and 4) the Comprehensive group (subjects received individualized dietary counseling and free coupons for the weekly Weight Watchers meetings). At baseline and 3‐, 6‐, and 12‐month data collection visits, a fasting blood sample was obtained for assays. A three‐day dietary record was kept during the week before these visits and dietary intake was analyzed. Results: Subjects in the three intervention groups lost weight (Control: 1.1 ± 1.7 kg; Weight Watchers: ?2.7 ± 2.1 kg; Individualized: ?8.0 ± 1.9 kg; Comprehensive: ?9.5 ± 2.7 kg) and percentage body fat, but only the Individualized and Comprehensive groups had significant losses. Subjects in the Comprehensive group showed the most improvement in cholesterol levels and had reductions in blood leptin levels. Discussion: Because insulin resistance and high blood leptin levels are associated with breast cancer, losing weight to improve these parameters may reduce the risk of recurrence. Only subjects in the Comprehensive group showed significant reductions in body weight and fat, energy intake, and leptin levels. For breast cancer survivors, different weight loss strategies should be considered to assist them in losing weight.     

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.     

Overweight and Obesity: Knowledge,Attitudes, and Practices of General Practitioners in France

Objective: To describe the current knowledge, attitudes, and practices of French general practitioners (GPs) in the field of adult overweight and obesity management. Research Methods and Procedures: A cross‐sectional telephone survey interviewed a sample of 600 GPs, representative of the private GPs in southeastern France. A four‐part questionnaire assessed personal and professional characteristics, attitudes and opinions about overweight and obesity, relevant knowledge and training, and practices (diagnostic methods, clinical assessments, weight loss objectives, types of counseling). Results: Most GPs knew that weight problems are health‐threatening, and 79% agreed that managing these problems is part of their role. Nevertheless, 58% did not feel they perform this role effectively, and one‐third did not find it professionally gratifying. Approximately 30% had negative attitudes toward overweight and obese patients; 57% were pessimistic about patients’ ability to lose weight; 64% often set weight loss objectives more demanding than guidelines call for; and neither food diaries nor nutritional education were used systematically. GPs’ feelings of effectiveness and attitudes toward obese patients were associated with some professional (training) and personal (BMI, personal diet experience) characteristics. Discussion: GPs’ feelings of ineffectiveness may stem from an underlying conflict between practitioners’ and patients’ representations of weight problems and the relationship problems this causes. Inadequate practices and health care system organization may also play a role.     

Ambulatory Management of Childhood Obesity

Objective: Childhood obesity is one of the most challenging issues facing healthcare providers today. The aims of this study were to describe the ambulatory management of childhood obesity by pediatricians (PDs) and family physicians (FPs) and to evaluate knowledge of and adherence to published recommendations. Research Methods and Procedures: A 42‐item, self‐administered questionnaire was mailed to 1207 randomly selected primary care physicians (PDs = 700, FPs = 507) between September 2001 and January 2002. Results: Of 339 (28%) responses, 287 were eligible (PDs = 213, FPs = 74). Most respondents were in group or solo practice (87%) in a suburban or urban, non‐inner city location (67%). The average age was 48 years (range = 31 to 85 years), and the mean years in practice was 17 (range = 1 to 55 years). Nineteen percent of physicians were aware of national recommendations. Three percent of physicians reported adherence to all recommendations. Knowledge of recommendations was not associated with a greater likelihood of adherence. However, physicians who were aware of recommendations were more likely to have positive attitudes about personal counseling ability (odds ratio = 2.4, confidence interval = 1.3 to 4.4) and the overall efficacy of obesity counseling (odds ratio = 4.3, confidence interval = 1.7 to 10.8). Poor patient motivation, patient noncompliance, and treatment futility were perceived as the most frequently encountered barriers to obesity treatment. Discussion: Most physicians are not aware of or adherent to national recommendations regarding childhood obesity. Awareness of recommendations was associated with more positive attitudes about personal counseling ability and the effectiveness of obesity counseling in general.     

Medical students' self-reported typical counseling practices are similar to those assessed with standardized patients

CONTEXT/OBJECTIVES: We surveyed fourth-year medical students in the Class of 2003 at Emory University School of Medicine, Atlanta, Georgia, about various personal and clinical practices. We were especially interested in the frequency that these seniors reported of talking with patients about nutrition, weight, exercise, alcohol, and cigarette smoking. Because the validity of our findings about these counseling practices was limited by our having only self-reported data from seniors' questionnaires, we developed a standardized patient (SP) examination to test the relationship between what students reported on the questionnaires and how they actually performed with SPs. DESIGN/SETTING/MAIN OUTCOME MEASURES: As part of a lengthy questionnaire, 88 senior medical students answered these 5 separated questions: "With a typical general medicine patient, how often do you actually talk to patients about: (1) nutrition; (2) exercise/physical activity; (3) weight; (4) smoking cessation (among smokers); and (5) alcohol? (never/rarely, sometimes, usually/always)." As part of their internal medicine subinternship final exam, students clinically assessed 4 SP cases with predetermined risk factors (poor diet, exercise, alcohol, and/or cigarette-smoking habits). RESULTS: For every risk factor, the proportion of SPs actually counseled was higher for those students who self-reported discussing that risk factor more frequently with their patients. Additionally, the odds of counseling an SP for any risk factor were significantly higher (odds ratio = 1.76-2.80, P < .05) when students reported more frequent counseling. CONCLUSION: Student self-reports regarding patient counseling may be useful when resources are limited, and the purpose is to grossly and anonymously distinguish between higher and lower performers.     

Development and Evaluation of Patient‐Centered Software for a Weight‐Management Clinic

Objective: To describe a weight‐management clinic software system and to report on its preliminary evaluation. Research Methods and Procedures: The software system standardizes the collection of relevant patient information from an initial medical assessment, weekly clinic visits, and laboratory testing protocol of a medically supervised proprietary meal‐replacement program in a university‐based referral clinic. It then generates monthly patient feedback reports with graphs of clinical and laboratory parameters to support a patient‐centered approach to weight management. After patients and clinic physicians review the data to ensure accuracy, the database is used for subsequent patient feedback reports, reports to referring physicians, quality assurance, and research. Clinic physicians and referring physicians were asked to rate their acceptance of the system. In addition, in a retrospective analysis of data generated by the system, outcomes for patients who received system‐generated feedback (n = 620) were compared with those who participated in the program before the introduction of feedback (n = 130). Results: Clinic and referring physicians reported that they had high overall satisfaction with the software and that the system saved them time, and the latter group reported that it decreased laboratory use. Regarding patients, the feedback group had lower dropout rates in the latter half of the program, better rates of attendance, completion of laboratory tests, and weight loss after 8 weeks. Discussion: The software seems to facilitate the effectiveness of the treatment protocol for obesity and generates a high‐quality database for patient care, clinic administration, quality assurance, and research purposes.     

Management of Obesity: A Challenge for Medical Training and Practice

Health‐care providers are in a unique position to encourage people to make healthy lifestyle choices. However, lifestyle modification counseling is a complex task, made even more so by the cultural and socioeconomic diversity of patient populations. The objective of this study is to evaluate the prevalence and predictors of attending and physician‐in‐training weight control counseling in an urban academic internal medicine clinic serving a unique low‐income multiethnic high‐risk population. In 2006, patients (n = 256) from the Associates in Internal Medicine clinic (Division of General Medicine at the New York Presbyterian Hospital, Columbia University Medical Center, New York, NY) were recruited and completed a questionnaire, which assessed demographic variables, health conditions, access to health‐care services, physician weight control counseling, and weight loss attempts. Seventy‐nine percent of subjects were either overweight or obese. Only 65% of obese subjects were advised to lose weight. Attending physicians were more likely than physicians‐in‐training to counsel subjects on weight control (P < 0.01). Factors that were significantly (P < 0.05) associated with different types of weight control counseling included obesity, cardiovascular disease (CVD) risk factors, female gender, nonblack race, college education, married status, and attending physician. Subjects advised to lose weight were more likely to report an attempt to lose weight (P < 0.01). Rates of weight control counseling among physicians are suboptimal, particularly among physicians‐in‐training. Training programs need to promote effective clinical obesity prevention and treatment strategies that address socioeconomic, linguistic, and cultural factors.     

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.     

Does High BMI Influence Hospital Charges in Children Undergoing Adenotonsillectomy?

Background: Obesity is a highly prevalent chronic problem with health and fiscal consequences. Data from adults and nonsurgical pediatric patients suggest that obesity has serious implications for the US economy. Objective: Our goal was to describe the impact of BMI on hospital charges in children undergoing adenotonsillectomy (AT). Methods and Procedures: We carried out a retrospective comparative analysis of the electronic anesthesia record and the charges from billing data from a large tertiary institution on children aged 3–18 years who had AT during the year 2005–2007. The main outcome measures were mean total hospital charges, likelihood of admission, and length of hospital stay (LOS). Results: Of 1,643 children, 68.9% were aged <10 years, 76% were whites, and 74.1% had private commercial insurance. Most (75.3%) children were discharged on the day of surgery. Obese and overweight children were more likely to be admitted than their normal‐weight peers (X² = 26.3, P < 0.001). Among those admitted, BMI showed a positive correlation with LOS (r = 0.20, P < 0.001). Obese and overweight patients had significantly higher total hospital charges than their healthy‐weight counterparts (P = 0.001). Anesthesia, postanesthesia care unit (PACU), and pharmacy and laboratory charges were also higher for obese than normal‐weight children (P < 0.05). Discussion: Overweight and obese children undergoing AT accrued higher hospital charges and had longer postoperative LOS than their healthy‐weight peers. If these findings are extendable to other surgical procedures, they could have far‐reaching implications for the US economy.     

Sibutramine plus meal replacement therapy for body weight loss and maintenance in obese patients

Objective: Our objective was to assess the efficacy and safety of sibutramine with a low‐calorie diet (LCD) and commercial meal‐replacement product in achieving weight loss and weight‐loss maintenance in obese patients. Research Methods and Procedures: Eight U.S. centers recruited 148 obese patients for a 3‐month comprehensive weight‐loss therapy (Phase I) comprising daily sibutramine 10 mg + LCD (two Slim‐Fast meal‐replacement shakes, one low‐calorie meal; total kcal/d = 1200–1500). Patients (N = 113) who lost ≥5% of initial body weight during Phase I were randomized for a 9‐month period (Phase II) to daily sibutramine 15 mg + LCD (one meal‐replacement shake; two low‐calorie meals: total kcal/d ～1200–1500) or daily placebo + three low‐calorie meals (total kcal/d ～1200–1500). Both phases included behavior modification. Efficacy was assessed by body weight change during each phase and by the number of patients at endpoint maintaining ≥80% of the weight they had lost by the end of Phase I. Other outcomes included changes in cardiovascular and metabolic risk factors, adverse events, and vital signs. Results: Mean body weight change during Phase I was ?8.3 kg (p < 0.001). Patients randomized to sibutramine in Phase II had an additional ?2.5 kg mean weight loss vs. a 2.8‐kg increase in the placebo group (p < 0.001). More sibutramine patients maintained ≥80% of their Phase I weight loss at the end of Phase II (85.5% vs. placebo 36.7%, p < 0.001). Most adverse events were mild or moderate in severity, and all serious adverse events were unrelated to sibutramine. Discussion: Sibutramine plus LCD with meal replacements and behavior modification is a safe and effective strategy for achieving and sustaining weight loss in obese patients.