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Effectiveness of Primary Care–Relevant Treatments for Obesity in Adults: A Systematic Evidence Review for the U.S. Preventive Services Task Force FREE

Erin S. LeBlanc, MD, MPH; Elizabeth O'Connor, PhD; Evelyn P. Whitlock, MD, MPH; Carrie D. Patnode, PhD, MPH; and Tanya Kapka, MD, MPH
[+] Article and Author Information

From Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon.


Disclaimer: Agency for Healthcare Research and Quality staff provided oversight for the project and assisted in external review of the draft-evidence synthesis. USPSTF liaisons helped to resolve issues around the scope of the review but were not involved in the conduct of the review.

Acknowledgment: The authors thank Victor Stevens, PhD, MA, for providing his expertise; Daphne Plaut, MLS, for conducting the literature searches; Kevin Lutz, MFA, for his editorial support; Caitlyn Senger, MPH, Tracy Beil, MS, Catherine Livingston, MD, MPH, and Sarah Zuber, MSW, for their assistance in conducting the evidence review; and Leslie Perdue, MPH, for her assistance in conducting the evidence review and preparing the manuscript. They also thank the Agency for Healthcare Research and Quality and the USPSTF, as well as expert reviewers David Arterburn, MD, MPH; George Bray, MD; James Hill, PhD; Robert Jeffery, PhD; and Jarl Torgerson, MD, PhD, for their contribution to this evidence review.

Grant Support: By the Oregon Evidence-based Practice Center under contract to the Agency for Healthcare Research and Quality, Rockville, Maryland (contract HHS-290-2007-10057-I, task order no. 3).

Potential Conflicts of Interest: Dr. LeBlanc: Grant (money to institution): Agency for Healthcare Research and Quality. Dr. O'Connor: Grant (money to institution): Agency for Healthcare Research and Quality; Support for travel to meetings for the study or other purposes (money to institution: Agency for Healthcare Research and Quality; Payment for writing or reviewing the manuscript (money to institution): Agency for Healthcare Research and Quality; Provision of writing assistance, medicines, equipment, or administrative support (money to institution): Agency for Healthcare Research and Quality. Dr. Kapka: Grant (money to institution): Agency for Healthcare Research and Quality; Support for travel to meetings for the study or other purposes (money to institution: Agency for Healthcare Research and Quality; Payment for writing or reviewing the manuscript (money to institution): Agency for Healthcare Research and Quality; Provision of writing assistance, medicines, equipment, or administrative support (money to institution): Agency for Healthcare Research and Quality. Disclosures can also be viewed at www.acponline.org/authors/icmje/ConflictOfInterestForms.do?msNum=M11-0823.

Requests for Single Reprints: Reprints are available from the Agency for Healthcare Research and Quality Web site (www.preventiveservices.ahrq.gov).

Current Author Addresses: Drs. LeBlanc, O'Connor, Whitlock, Patnode, and Kapka: Center for Health Research, Kaiser Permanente Northwest, 3800 North Interstate Avenue, Portland, OR 97227.

Author Contributions: Conception and design: E.S. LeBlanc, E. O'Connor, E. Whitlock, C.D. Patnode.

Analysis and interpretation of the data: E.S. LeBlanc, E. O'Connor, E. Whitlock, T. Kapka.

Drafting of the article: E.S. LeBlanc, E. Whitlock, C.D. Patnode, T. Kapka.

Critical revision of the article for important intellectual content: E.S. LeBlanc, E. O'Connor, E. Whitlock, C.D. Patnode, T. Kapka.

Final approval of the article: E.S. LeBlanc, E. O'Connor, E. Whitlock, C.D. Patnode, T. Kapka.

Statistical expertise: E. O'Connor.

Obtaining of funding: E. Whitlock.

Collection and assembly of data: E.S. LeBlanc, E. O'Connor, T. Kapka.


Ann Intern Med. 2011;155(7):434-447. doi:10.7326/0003-4819-155-7-201110040-00006
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Background: Overweight and obesity in adults are common and adversely affect health.

Purpose: To summarize effectiveness and harms of primary care–relevant weight-loss interventions for overweight and obese adults.

Data Sources: MEDLINE, Cochrane Central Register of Controlled Trials, and PsycINFO from January 2005 to September 2010; systematic reviews for identifying trials before 2005.

Study Selection: Two investigators appraised 6498 abstracts and 648 articles. Clinical trials were included if control groups received minimal interventions. Articles were rated as good, fair, or poor by using design-specific criteria.

Data Extraction: One investigator abstracted study characteristics and findings for good- and fair-quality studies; a second checked them.

Data Synthesis: Behaviorally based treatment resulted in 3-kg (6.6-lb) greater weight loss in intervention than control participants after 12 to 18 months, with more treatment sessions associated with greater loss. Limited data suggest weight-loss maintenance for 1 year or more. Orlistat plus behavioral intervention resulted in 3-kg (6.6-lb) more weight loss than did placebo after 12 months. Metformin resulted in less weight loss. Data on effects of weight-loss treatment on long-term health outcomes (for example, death and cardiovascular disease) were insufficient. Weight-loss treatment reduced diabetes incidence in participants with prediabetes. Effects on intermediate outcomes (for example, lipids and blood pressure) were mixed and small. Data on serious medication harms were insufficient. Medications commonly caused withdrawals due to gastrointestinal symptoms.

Limitations: Few studies reported health outcomes. Behaviorally based treatments were heterogeneous and specific elements were not well-described. Many studies could not be pooled because of insufficient reporting of variance data. Medication trials had high attrition, lacked postdiscontinuation data, and were inadequately powered for rare adverse effects.

Conclusion: Behaviorally based treatments are safe and effective for weight loss and maintenance.

Primary Funding Source: Agency for Healthcare Research and Quality.

Editors' Notes
Context

  • Experts recommend that primary care clinicians offer obese adults interventions that promote weight loss.

Contribution

  • In this systematic review of 58 trials, overweight adults in behavioral treatment trials that provided 12 to 26 intervention sessions during the first year lost 9 to 15 lb, whereas control groups lost little or no weight. Adults who received orlistat plus intensive behavioral interventions lost 11 to 22 lb, and those receiving placebo lost 7 to 13 lb.

Caution

  • Behavioral treatment trials studied heterogeneous interventions, and orlistat trials had high rates of attrition.

Implication

  • Behavior-oriented interventions can help overweight adults achieve meaningful weight loss.

—The Editors

The prevalence of adult obesity—defined as a body mass index (BMI) greater than 30 kg/m2—is high in the United States, exceeding 30% in most age- and sex-specific groups. In 2007–2008, 32% of men and 36% of women were obese. In addition, 40% of men and 28% of women met overweight criteria (BMI >25 kg/m2) (1). The prevalence of obesity and of overweight have increased by 134% and 48%, respectively, since 1976–1980 (2).

Obesity is associated with increased mortality (particularly in adults <65 years) (35), coronary heart disease (6), type 2 diabetes (7), some types of cancer (8), and many other deleterious effects (9). Whether being overweight is associated with an increased mortality risk is less clear, possibly because the association varies by sex, ethnicity, and age and depends on the obesity measure used (for example, BMI vs. waist circumference) (1012). Maternal obesity is associated with pregnancy complications and adverse fetal and neonatal health outcomes (13).

In 2003, the U.S. Preventive Services Task Force (USPSTF) recommended that clinicians screen all adults for obesity and offer intensive counseling and behavioral interventions to promote sustained weight loss for obese adults (B recommendation: high certainty that net benefit was moderate or moderate certainty that net benefit was moderate to substantial). The USPSTF, however, concluded that evidence was insufficient to recommend for or against moderate- or low-intensity counseling together with behavioral interventions to promote sustained weight loss in obese adults (I recommendation: insufficient evidence to assess benefit and harm balance). The USPSTF concluded that evidence was insufficient to recommend for or against counseling of any intensity and/or behavioral interventions to promote sustained weight loss in overweight adults (I recommendation).

We undertook this systematic review to help update these recommendations. To conduct it, we developed an analytic framework with 4 key questions (Appendix Figure 1). The first was whether primary care screening programs to identify obesity or overweight in adults improved health or physiologic outcomes or resulted in weight loss. The other questions asked whether primary care feasible or referable weight-loss interventions (behaviorally based, with or without pharmacologic adjuncts) improved health outcomes, improved physiologic outcomes, resulted in short-term (12 to 18 months) or long-term (>18 months) weight loss, or caused harm.

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Appendix Figure 1.
Analytic framework: primary care screening and interventions for obesity and overweight.

KQ 1: Is there direct evidence that primary care screening programs for adult obesity or overweight improve health outcomes or result in short-term (12 to 18 mo) or sustained (>18 mo) weight loss or improved physiologic measures (i.e., glucose tolerance, blood pressure, and dyslipidemia)? a) How well is weight loss maintained after an intervention is completed?

KQ 2: Do primary care–relevant interventions (behaviorally based interventions and/or pharmacotherapy) in obese or overweight adults lead to improved health outcomes (morbidity from diabetes mellitus, cardiovascular disease, cancer, arthritis, asthma, sleep apnea, depression, emotional functioning, physical fitness capacity or performance, physical functioning, disability, mortality)? a) What are common elements of efficacious interventions? b) Are there differences in efficacy between patient subgroups (i.e., age 65 y or older, sex, race/ethnicity, degree of obesity, baseline cardiovascular risk)?

KQ 3: Do primary care–relevant interventions in obese or overweight adults lead to short-term or sustained weight loss, with or without improved physiologic measures? a) How well is weight loss maintained after an intervention is completed? b) What are common elements of efficacious interventions? c) Are there differences in efficacy between patient subgroups (i.e., age 65 y or older, sex, race/ethnicity, degree of obesity, baseline cardiovascular risk)?

KQ 4: What are the adverse effects of primary care–relevant interventions in obese or overweight adults (e.g., nutritional deficits, cardiovascular disease, bone mass loss, injuries, death)? a) Are there differences in adverse effects between patient subgroups (i.e., age 65 y or older, sex, race/ethnicity, degree of obesity, baseline cardiovascular risk status)?

KQ = key question.

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The full report (9) describes our methods in detail.

Data Sources and Searches

We relied on existing reviews to cover part of the search window from the previous USPSTF review, following previously detailed guidance (14). We identified a 2006 National Institute for Clinical Excellence systematic review on behavioral weight-loss interventions and orlistat (15) and a 2008 review of metformin trials (16). Their inclusion and exclusion criteria were congruent with ours, and investigators for both searched multiple databases and examined reference lists of pertinent reports. The reviews' search and selection strategies were judged acceptable to substitute for ours through 2005. We bridge-searched MEDLINE, PsycINFO, and the Cochrane Central Register of Controlled Trials from 2005 through 9 September 2010. We supplemented our search with relevant existing systematic reviews identified through databases (Cochrane Database of Systematic Reviews, the Database of Abstracts of Reviews of Effects, and MEDLINE) and Web sites (Institute of Medicine, National Institutes of Health, and National Institute for Health and Clinical Excellence). We supplemented our searches with experts' suggestions and reference lists from relevant publications, including evaluating all studies from the previous USPSTF review (17).

Study Selection

Two investigators independently reviewed 6498 abstracts and 648 articles against prespecified inclusion and exclusion criteria (Appendix Figure 2). For key questions 1 to 3, we included randomized or controlled clinical trials with interventions focused on weight loss in adults (age ≥18 years) conducted in settings relevant to primary care (studies conducted in primary care or those that could in theory be implemented in a health care system, to which primary care clinicians could refer patients). We defined criteria for acceptable control groups a priori so that they would represent usual care and not overlap with low-intensity intervention groups. Acceptable control groups could not receive a personalized intervention, at-home workbook materials, or advice more frequently than annually; they also could not participate in frequent weigh-ins (<3 months). Healthy lifestyle messages were considered equivalent to weight-loss messages. For harms (key question 4), we included additional study designs (large cohort studies or case–control studies; large event monitoring; systematic evidence reviews of randomized, controlled trials [RCTs] or controlled clinical trials) and did not require 12 months of follow-up.

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Appendix Figure 2.
Literature search and selection.

KQ = key question.

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Data Extraction and Quality Assessment

Two independent investigators appraised all included articles as good, fair, or poor quality according to design-specific criteria and USPSTF methods (18). A third investigator resolved discrepancies. We assessed validity of randomization and measurement procedures, attrition, baseline characteristics, intervention fidelity, and statistical methods. Good-quality trials blinded researchers to participant randomization if they performed tasks related to assessment, had follow-up data on 90% or more of participants with fewer than a 10–percentage point difference between groups, and described anthropomorphic measurements in detail. Trials were rated poor quality and excluded if attrition was greater than 40%, was missing, or differed by more than 20% between groups (except for harms data); key baseline characteristics differed substantially between groups and were not controlled for in analyses; or outcomes were measured unequally between groups. Additional issues caused trials to be downgraded but not excluded; these included inconsistently applied interventions, selective reporting, and unclear or suboptimal blinding or randomization procedures (9). A table of excluded studies is available in our full report (9).

For included studies, one investigator abstracted data on study design, setting, population characteristics, baseline health and weight, intervention characteristics, prespecified outcomes, funding source, and adverse events into standardized evidence tables (9). A second investigator reviewed abstraction for accuracy.

Data Synthesis and Analysis

We conducted separate random-effects meta-analyses to estimate the effect size of behavioral and pharmacologic interventions on weight loss (expressed in kg) and intermediate health outcomes (adiposity, systolic and diastolic blood pressure, total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, triglycerides, and glucose). Within each intervention type, trials were grouped according to the study population's risk status—cardiovascular risk (diabetes, dyslipidemia, hypertension), subclinical risk (prediabetes [19], borderline high lipids [20], prehypertension [21], abdominal obesity as defined by study researchers [2223]), and unselected/low risk—and then ordered by the behavioral intervention's intensity (number of sessions for behavioral trials and brief or intensive behavioral component accompanying medication trials).

We assessed the presence of statistical heterogeneity among studies by using standard chi-square tests and estimated heterogeneity magnitude by using the I2 statistic (24). Tests of publication bias included funnel plots and the Egger linear regression method (25) when there were 10 or more studies (26).

We explored heterogeneity of the effect size for weight loss with a series of meta-regressions (9). Factors we included were population risk status, recruitment strategy, retention, study focus (weight maintenance vs. loss), whether the trial was conducted in primary care, setting (United States or not), quality, and selected patient characteristics. For behavioral trials, we also examined the number of sessions during the first year and presence of several key intervention components (9). For medications, we also examined the percentage retained after run-in, medication type, and intensity of accompanying behavioral intervention.

All analyses were performed by using Stata 10.0 (StataCorp LP, College Station, Texas).

Role of the Funding Source

We worked with 4 USPSTF liaisons at key points throughout the process to develop and refine the analytic framework, address methodological issues, and define scope. This research was funded by the Agency for Healthcare Research and Quality under a contract to support the work of the USPSTF. Agency for Healthcare Research and Quality staff provided project oversight, reviewed the draft report, and assisted in external draft report review.

Key Question 1: Screening for Obesity/Overweight

We identified no trials comparing screening with not screening for adult obesity.

Key Questions 2 and 3: Benefits of Weight-Loss Interventions

We identified 58 trials of benefits of weight-loss interventions. Thirty-eight trials (13 495 participants) involved behaviorally based interventions (23, 2764), 18 (11 256 participants) involved orlistat plus behavioral interventions (6582), and 3 (2652 participants) involved metformin plus behavioral interventions (22, 27, 83). About one third of weight-loss trials could not be included in a weight-loss meta-analysis because of missing information, usually a measure of variability around the mean.

Behavioral trial participants had mean BMIs ranging from 25 to 39 kg/m2, with an average baseline BMI across all trials (weighted for sample size) of 31.9 kg/m2. Participants had mean ages of 34 to 70 years. Overall, 60% of participants were female; less than 40% of patients were nonwhite. Orlistat trial participants were 66% female, and less than 12% were nonwhite. Only 1 metformin trial reported ethnicity; 45.3% of patients were nonwhite (84). Fifty-five percent of behavioral trials and 57% of orlistat trials examined participants with clinical or subclinical cardiovascular risk factors. Metformin trials examined participants with diabetes risk factors (prediabetes or elevated waist-to-hip ratio).

Weight Loss

Behavioral treatment trials were fairly high quality, with 24% being rated “good” (Appendix Table) (2728, 38, 5356, 58, 61). Among those rated “fair,” allocation concealment and blinding of outcomes assessment were frequently unclear or not reported (59% and 83% of trials, respectively). Approximately 30% of fair-quality trials had follow-up of 90% or more at 12 months (Appendix Table) (23, 29, 32, 40, 42, 48, 57, 60). Just over one half of all trials limited analyses to completers (23, 2730, 34, 3940, 43, 4647, 4951, 5355, 5758, 60, 6263), although 3 trials had low (≤3%) attrition (32, 58, 61). When data substitution was used, studies used baseline-observation-carried-forward (33, 3738, 42, 52), multiple imputation (35, 56), last-observation-carried-forward (37, 41, 44, 59), imputation of missing data through random-effects regression (35, 45, 64), multiple imputation method (35, 56), or unspecified methods (31, 48, 61). We did not find an association between effect size and study quality, attrition, or presence of data imputation through meta-regression.

Table Jump PlaceholderAppendix Table.  Outcomes Reported and Quality Issues for Included Trials

Most trials showed that behavioral interventions had a statistically significant effect on weight loss at 12 to 18 months (23, 2764). Controls generally lost little or no weight, whereas intervention groups lost 1.5 to 5 kg (3.3 to 11 lb), an average of 4% of baseline weight. In 21 trials that could be combined by meta-analysis, patients receiving behavioral interventions lost 3.0 kg (6.6 lb) more (95% CI, −4.0 to −2.0 kg) than controls after 12 to 18 months (Figure 1). Statistical heterogeneity was high (I2 = 95%) because the amount of weight change varied greatly. Behavioral interventions lasting longer (24 to 54 months) continued to show greater weight loss (2 to 4 kg [4.4 to 8.8 lb]) compared with controls (28, 46, 53, 55, 58, 61). Weight loss could be maintained for an additional year or more after completion of an active weight-loss phase, particularly with additional support (27, 34, 39, 41, 52, 60).

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Figure 1.
Difference between intervention and control groups in weight change at 12 to 18 months.

Weights are from random-effects analysis. ADAPT = Activity, Diet and Blood Pressure Trial; CV = cardiovascular; DISH = Dietary Intervention to Study Hypertension; DPP = Diabetes Prevention Program; FDPS = Finnish Diabetes Prevention Study; HEED = Help Educate to Eliminate Diabetes; HI = intensive intervention; IV = intervention; LO = brief intervention; NR = not reported; ORBIT = Obesity Reduction Black Intervention Trial; PATH = Physical Activity for Total Health; PREDIAS = Prevention of Diabetes Self-Management Program; Subclinical = trials limited to those with elevated risk but without known disease (prehypertension; impaired glucose tolerance or elevated fasting glucose; borderline high total cholesterol, low-density lipoprotein, or triglyceride levels; low high-density lipoprotein levels; abdominal obesity); TOHP = Trials of Hypertension Prevention; WHLP = Women's Healthy Lifestyle Project; WMD = weighted mean difference.

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Interventions with more sessions showed more weight loss—patients receiving 12 to 26 intervention sessions generally lost 4 to 7 kg (8.8 to 15.4 lb) (6% of baseline weight) compared with 1.5 to 4 kg (3.3 to 8.8 lb) (2.8% of baseline weight) in intervention groups with fewer than 12 sessions in the first year. After adjustment for number of sessions in the first year, none of the following demonstrated a relationship with effect size: physical activity sessions, group sessions, individual sessions, technology-based intervention, specific weight-loss goals, spouse or family involvement, addressing barriers to weight loss, motivational assessment (for example, pros and cons of weight loss), self-monitoring, incentives, or support after active intervention phase. However, our confidence in these null results is limited because some behavioral trials did not detail their interventions. These studies may have provided one or more components but not reported them. In addition, more intensive interventions tended to involve more components; disentangling the effect of intensity from specific components was not possible.

The orlistat data were limited in that there was only 1 good-quality trial (69) (Appendix Table). Randomization procedures (including allocation concealment) and medication adherence rates were rarely reported. Only 1 study specifically stated that funding was not from a pharmaceutical company (69). Only 5 studies had greater than 80% follow-up at 12 to 18 months (range, 61% to 96%) (69, 72, 74, 79, 82). Follow-up in control groups was often greater than 10% lower than in orlistat groups (72, 74, 79, 82). Over 70% of orlistat trials (6567, 7073, 7782) and 33% of metformin trials (22) used last-observation-carried-forward for data substitution. The remaining analyzed only those with complete data (27, 68, 75, 83) or did not describe data substitution methods (69, 74, 76). We did not note an association between effect size and attrition or presence of data imputation through meta-regression, although power and range of attrition would be somewhat limited.

Orlistat treatment with accompanying behavioral component resulted in weight loss of 5 to 10 kg (11 to 22 lb; 8% of baseline weight) compared with 3 to 6 kg (7 to 13 lb; 5% of baseline weight) with placebo and the same behavioral component (6582). Almost all orlistat trials used intensive behavioral components. In the 12 trials that could be combined by meta-analysis, participants randomly assigned to orlistat lost 3.0 kg (6.6 lb) more (95% CI, −3.9 to −2.0 kg) than those receiving placebo after 12 months (Figure 1). With 1 exception (69), the studies were not highly variable. Limited data showed no dose response (72, 79). Weight loss was maintained with up to 24 to 36 months of orlistat therapy (7879). No trials reported weight outcomes after orlistat therapy was stopped. Metformin plus a behavioral intervention was associated with a smaller degree of weight loss (2 to 4 kg [4.4 to 8.8 lb]) (22, 83, 85), although the best evidence was limited to patients with prediabetes (85).

The effect of weight-loss programs among participant subgroups was sparsely reported and often mixed. Behaviorally based interventions seemed on average to lead to less weight loss in black patients and women than nonblack patients and men; effects of baseline BMI and age were mixed (30, 38, 43, 54, 5657, 61, 63, 8688). Medication trials did not examine subgroups, or their findings applied only to patients with prediabetes (27, 87).

Health Outcomes

Included trials did not demonstrate an effect on mortality, cardiovascular disease, hospitalizations, or depression, although data were sparse for all outcomes (Table 1) (22, 27, 42, 49, 56, 58, 63, 66, 72, 79, 8182, 84, 8991). The 2 good-quality trials reporting 1 or more of these health outcomes were not powered to detect group differences in any health outcomes other than depressive symptoms (27, 58, 89).

Table Jump PlaceholderTable 1.  Summary of Evidence for Effect of Weight-Loss Interventions on Clinical Outcomes
Diabetes Incidence

All intervention types reduced diabetes incidence, particularly in patients with elevated risk (Table 1). Behaviorally based interventions (7 to 23 sessions in first year), which led to weight loss of 4 to 7 kg (8.8 to 15.4 lb), cut diabetes incidence by about 50% or more over 2 to 3 years (58, 84). Metformin and orlistat reduced diabetes incidence (22, 78, 82, 84). However, orlistat data may not be reliable and generalizable (78, 82); by year 4, 1 trial had 48% and 68% attrition in the orlistat and placebo groups, respectively (82), and the other administered orlistat after participants experienced at least 5% weight loss during an 8-week very-low-calorie diet (78).

Glucose Tolerance

Behaviorally based interventions, orlistat, and metformin all led to declines in fasting glucose levels in prediabetic and diabetic patients at 12 to 18 months compared with controls (31, 42, 4546, 49, 58, 69, 71, 74, 77, 85). Mean decreases in glucose levels were 0.30 and 0.31 mmol/L (5.4 and 5.5 mg/dL) with behavioral interventions and metformin, respectively. Glucose reductions were greater with orlistat (0.672 mmol/L [12.1 mg/dL] greater than placebo), possibly because those studies were conducted in diabetic patients.

Lipids

Pooled estimates for lipid changes with behavioral interventions were at high risk for reporting bias because lipid outcomes were rarely reported (Figure 2). Trials included in meta-analyses were more likely to show effects than those not included. Although some trials did find statistically significant results, effect sizes were consistently small (most had reductions in low-density lipoprotein cholesterol level ≤0.26 mmol/L [10 mg/dL]). We concluded that behavioral weight-loss interventions had low or very small effects on low-density and high-density lipoprotein cholesterol and triglyceride levels (23, 2931, 38, 4142, 46, 4849, 53, 5758, 6264). Orlistat reduced low-density lipoprotein cholesterol levels by a slightly greater amount (0.29 mmol/L [11 mg/dL] more than placebo), but high-density lipoprotein cholesterol levels were reduced and triglyceride levels did not change (6582). Metformin did not improve lipid profiles (22, 83, 90).

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Figure 2.
Difference between intervention and control groups in changes in LDL cholesterol levels.

Weights are from random-effects analysis. Pooled estimates for lipid changes with behavioral interventions were at high risk for reporting bias because lipid outcomes were rarely reported. To convert LDL cholesterol values to mmol/L, multiply by 0.0259. CV = cardiovascular; HEED = Help Educate to Eliminate Diabetes; HI = intensive intervention; IV = intervention; LDL = low-density lipoprotein; LO = brief intervention; NR = not reported; PATH = Physical Activity for Total Health; Subclinical = trials limited to those with elevated risk but without known disease (prehypertension; impaired glucose tolerance or elevated fasting glucose; borderline high total cholesterol, low-density lipoprotein, or triglyceride levels; low high-density lipoprotein levels; abdominal obesity); WHLP = Women's Healthy Lifestyle Project; WMD = weighted mean difference.

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Blood Pressure

Absolute reductions of 2 to 5 mm Hg in systolic and diastolic blood pressure were reported in behaviorally based and orlistat (plus behavioral intervention) trials over 12 to 36 months. When examined with meta-analyses, this translated into approximately 2–mm Hg greater decreases than control conditions after 12 to 18 months with either treatment (Figure 3) (23, 2931, 42, 49, 5355, 5758, 60, 63, 6768, 72, 77, 7981, 9091). Behavioral treatment reduced the risk for a hypertension diagnosis in participants with prehypertension (34% and 22% reduced risk at 12 and 18 months, respectively) (5455). Metformin did not have favorable effects on blood pressure (22, 90).

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Figure 3.
Difference between intervention and control groups in changes in systolic blood pressure.

Weights are from random-effects analysis. ADAPT = Activity, Diet and Blood Pressure Trial; CV = cardiovascular; DPP = Diabetes Prevention Program; FDPS = Finnish Diabetes Prevention Study; HEED = Help Educate to Eliminate Diabetes; HI = intensive intervention; IV = intervention; LO = brief intervention; NR = not reported; ODES = Oslo Diet and Exercise Study; PATH = Physical Activity for Total Health; PREDIAS = Prevention of Diabetes Self-Management Program; Subclinical = trials limited to those with elevated risk but without known disease (prehypertension; impaired glucose tolerance or elevated fasting glucose; borderline high total cholesterol, low-density lipoprotein, or triglyceride levels; low high-density lipoprotein levels; abdominal obesity); TOHP = Trials of Hypertension Prevention; WHLP = Women's Healthy Lifestyle Project; WMD = weighted mean difference.

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Waist Circumference

Waist circumference decreased by 2.7 cm more (CI, −4.1 to −1.4 cm) in behavioral intervention groups than in control groups. Statistical heterogeneity was high (I2 = 93.8%), but most trials showed statistically significant group differences (23, 3031, 3738, 4142, 46, 4849, 5758, 60, 85). Orlistat and metformin reduced waist circumference by 2.3 cm (CI, −3.6 to −0.9 cm) and 1.5 cm (CI, −2.0 to −1.0 cm), respectively, compared with placebo (6566, 6869, 71, 7476, 7879, 8183, 85).

Key Question 4: Harms of Weight-Loss Interventions
Behavioral Studies

Ten studies reported on possible harms of behavioral weight-loss interventions. Weight loss reduced total (61) or hip (53, 59) bone mineral density in 3 fair- to good-quality trials (53, 59, 61). Increased physical activity did not result in serious adverse effects or injuries over 1- to 2-year interventions (38, 46, 9293). One study reported no increased risk for eating disorder pathology in those participating in weight-loss interventions (94).

Orlistat

We included 18 RCTs from key questions 2 and 3 (6582), 5 additional published RCTs not included in key questions 2 and 3 (9599) (12 174 participants in all trials combined), and 1 United Kingdom event-monitoring study (100) (16 021 persons) on the harms of orlistat (120 mg 3 times per day). Sixty-two percent of trials recruited participants with at least 1 clinical or subclinical cardiovascular risk factor (6566, 6869, 71, 74, 7678, 8182, 9598). Participants were 41 to 59 years of age; 66% of patients were female, and less than 15% were nonwhite. Although median trial duration was 52 weeks, 5 trials provided data beyond 52 weeks.

Participants randomly assigned to receive orlistat were more likely to experience adverse effects and withdraw from trials because of adverse effects than those assigned to placebo (Table 2) (6582, 9599, 101). Withdrawals were primarily due to gastrointestinal symptoms. In included studies, serious adverse effects were not increased with orlistat compared with placebo (66, 6869, 7576, 7882, 9596, 99). Orlistat was associated with a decrease in some fat-soluble vitamin levels compared with placebo (7374, 79, 82, 99). Data did not suggest that higher dosages were associated with elevated adverse effect rates, although results were mixed (7273, 79, 99).

Table Jump PlaceholderTable 2.  Summary of Medication Harms
Metformin

We included 4 trials on harms of metformin (850 mg twice daily): 3 trials from key questions 2 and 3 (22, 83, 86) and 1 additionally published RCT (102) (2712 participants). Participants randomly assigned to receive metformin were more likely than placebo recipients to have and withdraw because of adverse events (Table 2) (22, 83, 102). Gastrointestinal symptoms were the main reason for excess adverse effects (22, 83, 86, 102). No studies reported serious adverse effects.

Because we found no trials directly examining the benefits and harms of obesity screening followed by expected appropriate treatment in adults, we focused on effectiveness and harms of primary care–relevant weight-loss interventions. Behavioral treatment trials were fairly recent and of high quality. However, orlistat trials were generally lower quality. Participants in behavioral treatment trials providing 12 to 26 intervention sessions during the first year lost 4 to 7 kg (8.8 to 15.4 lb) (average, 6% of baseline weight) at 12 to 18 months, compared with little to no weight loss in control groups. Participants receiving orlistat plus intensive behaviorally based intervention lost 5 to 10 kg (11 to 22 lb) (average, 8% of baseline weight), compared with 3 to 6 kg in the placebo groups. Metformin was associated with less weight loss (2 to 4 kg [4.4 to 8.8 lb]). Long-term weight loss (>18 months) was sparsely reported, but weight loss generally persisted with continued treatment. Five percent weight loss is considered clinically meaningful and is a primary weight-loss outcome according to the U.S. Food and Drug Administration (103). Most (104107), but not all (108), epidemiologic data suggest that intentional weight loss less than 9 kg is not associated with reduced mortality. Epidemiologic data, however, are mixed and confounded by several factors, particularly health status. Prospective cohort studies of patients undergoing bariatric surgery show substantial improvements in health. Weight loss with surgery, however, is generally 25 to 50 kg (55 to 110 lb) (109110).

Because health outcome data were insufficient, we examined the metabolic consequences of weight-loss interventions. Two fair- to good-quality trials showed that diabetes incidence was reduced by 30% to 50% with behavioral weight-loss interventions among overweight and obese patients with elevated plasma glucose levels. Behavioral weight-loss interventions had little to no effect on lipids. Improved cholesterol levels may require large amounts of weight loss (111). Lowering low-density lipoprotein cholesterol levels with orlistat may reflect reduced fat absorption (112). Although summary measures showed small blood pressure reductions, absolute reductions of 2 to 5 mm Hg were reported in some orlistat and behaviorally based trials over 12 to 36 months, consistent with findings of a previous meta-analysis (113). Reductions in diastolic blood pressure of 5 to 6 mm Hg over 5 to 10 years have been associated with small reductions in stroke and coronary heart disease events (114).

Higher treatment intensity was associated with greater weight loss, despite limitations in our measure of treatment intensity. Most higher-intensity interventions included self-monitoring, setting goals, addressing barriers to change, and strategizing about maintaining long-term changes. However, we found that no component was associated with degree of weight loss in meta-regression. Specific articulation of essential elements of effective interventions was not possible.

Methods used to measure obesity in clinical practice (for example, BMI and waist circumference) are low cost and cause no direct physical harms. Secondary harms could include labeling stigma, higher insurance premiums, or reinforcement of poor self-esteem. Misclassifying a person's risk status is possible if current BMI cut-offs are used during screening because BMI may predict future health risk differently among various ethnic and age groups (115116).

Weight loss may be associated with decreased bone density, but data are lacking on post–weight-loss bone density and subsequent fracture risk. The validity of measuring bone changes during weight loss is also unclear. Fat distribution changes may alter bone measurement despite stable bone (117119). Limited data suggested no increased risk for serious injuries or eating disorders.

Orlistat and metformin caused mild to moderate gastrointestinal side effects resulting in discontinuation of therapy. Our inclusion and exclusion criteria were not designed to identify rare harms. We did not find studies associating orlistat with liver, kidney, or pancreas damage, other than case reports. However, in May 2010, the U.S. Food and Drug Administration revised its label for orlistat, 120 mg (prescription) and 60 mg (over-the-counter), to include “new safety information about cases of severe liver injury that have been reported rarely with the use of this medication” (120). Orlistat has been recently associated with possible kidney and pancreas damage (121). Indeed, antiobesity medications have a long history of removal from the market or failing U.S. Food and Drug Administration approval (122124).

Several factors limited this evidence review. Because of missing information, we could not include about one third of trials in meta-analyses. Intermediate physiologic outcomes were even less likely to be studied and available for meta-analyses. We excluded 143 studies because control groups had more than minimal interventions (considered comparative effectiveness), including Look AHEAD, a weight-loss intervention trial in diabetic patients (125). Its findings were similar to and slightly more positive than the findings of included trials. Comparative-effectiveness trials would shed more light on effective intervention components and are being reviewed elsewhere (126).

Few studies were conducted in primary care. Interventions were often intensive and possibly difficult to implement in primary care settings (although providers could refer to them). No trial had a mean BMI in the class III obese range (>40 kg/m2), so generalizability to extreme obesity is unknown. Because most medication trials had run-in periods, participants were probably more motivated, adherent, and responsive than primary care populations. Our results, especially medication findings, are possibly biased by high attrition.

We did not systematically examine the best screening approach for obesity. A growing body of evidence suggests that waist-to-hip ratio or waist circumference may be better predictors of future health effects than is BMI (127135), especially for some subgroups (116, 136). Systematically rereviewing the best screening tool for adult obesity should be of high priority. We did not systematically review cost-effectiveness data. The economic impact of weight-loss interventions is an important clinical consideration.

Metformin is the only off-label medication we included. Other medications used off-label for weight loss include zonisamide, an antiepileptic agent (137). We did not examine antiobesity drugs in development, including lorcaserin; a combination of phentermine plus topiramate; or a combination naltrexone plus bupropion. We did not include phentermine because it is approved only for short-term use.

In summary, we found no direct evidence on benefits and harms of primary care–based obesity screening but did find that behavioral weight-loss interventions with or without orlistat or metformin yielded clinically meaningful weight loss; however, health outcomes data were sparse. Harms of behavioral weight-loss interventions were minimal; data were insufficient on serious harms from medications. Long-term weight and health outcomes data were lacking and should be a high priority for future study. Research should clarify which benefits are derived specifically from weight loss itself or from behavioral mediators, such as physical activity or dietary changes.

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Figures

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Appendix Figure 1.
Analytic framework: primary care screening and interventions for obesity and overweight.

KQ 1: Is there direct evidence that primary care screening programs for adult obesity or overweight improve health outcomes or result in short-term (12 to 18 mo) or sustained (>18 mo) weight loss or improved physiologic measures (i.e., glucose tolerance, blood pressure, and dyslipidemia)? a) How well is weight loss maintained after an intervention is completed?

KQ 2: Do primary care–relevant interventions (behaviorally based interventions and/or pharmacotherapy) in obese or overweight adults lead to improved health outcomes (morbidity from diabetes mellitus, cardiovascular disease, cancer, arthritis, asthma, sleep apnea, depression, emotional functioning, physical fitness capacity or performance, physical functioning, disability, mortality)? a) What are common elements of efficacious interventions? b) Are there differences in efficacy between patient subgroups (i.e., age 65 y or older, sex, race/ethnicity, degree of obesity, baseline cardiovascular risk)?

KQ 3: Do primary care–relevant interventions in obese or overweight adults lead to short-term or sustained weight loss, with or without improved physiologic measures? a) How well is weight loss maintained after an intervention is completed? b) What are common elements of efficacious interventions? c) Are there differences in efficacy between patient subgroups (i.e., age 65 y or older, sex, race/ethnicity, degree of obesity, baseline cardiovascular risk)?

KQ 4: What are the adverse effects of primary care–relevant interventions in obese or overweight adults (e.g., nutritional deficits, cardiovascular disease, bone mass loss, injuries, death)? a) Are there differences in adverse effects between patient subgroups (i.e., age 65 y or older, sex, race/ethnicity, degree of obesity, baseline cardiovascular risk status)?

KQ = key question.

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Appendix Figure 2.
Literature search and selection.

KQ = key question.

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Figure 1.
Difference between intervention and control groups in weight change at 12 to 18 months.

Weights are from random-effects analysis. ADAPT = Activity, Diet and Blood Pressure Trial; CV = cardiovascular; DISH = Dietary Intervention to Study Hypertension; DPP = Diabetes Prevention Program; FDPS = Finnish Diabetes Prevention Study; HEED = Help Educate to Eliminate Diabetes; HI = intensive intervention; IV = intervention; LO = brief intervention; NR = not reported; ORBIT = Obesity Reduction Black Intervention Trial; PATH = Physical Activity for Total Health; PREDIAS = Prevention of Diabetes Self-Management Program; Subclinical = trials limited to those with elevated risk but without known disease (prehypertension; impaired glucose tolerance or elevated fasting glucose; borderline high total cholesterol, low-density lipoprotein, or triglyceride levels; low high-density lipoprotein levels; abdominal obesity); TOHP = Trials of Hypertension Prevention; WHLP = Women's Healthy Lifestyle Project; WMD = weighted mean difference.

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Figure 2.
Difference between intervention and control groups in changes in LDL cholesterol levels.

Weights are from random-effects analysis. Pooled estimates for lipid changes with behavioral interventions were at high risk for reporting bias because lipid outcomes were rarely reported. To convert LDL cholesterol values to mmol/L, multiply by 0.0259. CV = cardiovascular; HEED = Help Educate to Eliminate Diabetes; HI = intensive intervention; IV = intervention; LDL = low-density lipoprotein; LO = brief intervention; NR = not reported; PATH = Physical Activity for Total Health; Subclinical = trials limited to those with elevated risk but without known disease (prehypertension; impaired glucose tolerance or elevated fasting glucose; borderline high total cholesterol, low-density lipoprotein, or triglyceride levels; low high-density lipoprotein levels; abdominal obesity); WHLP = Women's Healthy Lifestyle Project; WMD = weighted mean difference.

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Figure 3.
Difference between intervention and control groups in changes in systolic blood pressure.

Weights are from random-effects analysis. ADAPT = Activity, Diet and Blood Pressure Trial; CV = cardiovascular; DPP = Diabetes Prevention Program; FDPS = Finnish Diabetes Prevention Study; HEED = Help Educate to Eliminate Diabetes; HI = intensive intervention; IV = intervention; LO = brief intervention; NR = not reported; ODES = Oslo Diet and Exercise Study; PATH = Physical Activity for Total Health; PREDIAS = Prevention of Diabetes Self-Management Program; Subclinical = trials limited to those with elevated risk but without known disease (prehypertension; impaired glucose tolerance or elevated fasting glucose; borderline high total cholesterol, low-density lipoprotein, or triglyceride levels; low high-density lipoprotein levels; abdominal obesity); TOHP = Trials of Hypertension Prevention; WHLP = Women's Healthy Lifestyle Project; WMD = weighted mean difference.

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Tables

Table Jump PlaceholderAppendix Table.  Outcomes Reported and Quality Issues for Included Trials
Table Jump PlaceholderTable 1.  Summary of Evidence for Effect of Weight-Loss Interventions on Clinical Outcomes
Table Jump PlaceholderTable 2.  Summary of Medication Harms

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Rigorous Standards Need to be Established for Long Term Weight Loss Programs
Posted on October 11, 2011
Lewis H. Kuller
Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh
Conflict of Interest: None Declared

The US Preventive Services Task Force (USPSTF) evidence update, "Effectiveness of primary care-relevant treatments for obesity in adults: a systematic evidence review for the U.S. Preventive Services Task Force" (1) points a rosy but wrong picture of weight loss interventions. Unfortunately, after 30-40 years of behavioral weight loss programs, the success of long term weight loss is close to null. Successful weight loss is defined as a persistent 10% weight loss(2). Few of the long term studies even reach the 5% that the FDA uses for evaluating drugs. The paper describes 6 studies of longer term weight loss but omits the 3 recent major studies - Action for Health in Diabetes (Look AHEAD), Diabetes Prevention Program (DPP) and the Women on the Move Through Activity and Nutrition (WOMAN) Study.

The Women's Healthy Lifestyle Project (WHLP) was a prevention of weight gain trial and not a weight loss study. The Trials of Hypertension Prevention Study (TOHPS) Phase II reported 0.2 kg weight loss in the intervention at 36 months, the Trial of Nonpharmacological interventions in the Elderly (TONE) 4.7 lbs at 30 months, the Dutch Weight Loss Study 2.4 kg at 2 years only, Finnish Diabetes Prevention Trial 3.5 kg at 2 years and the Hypertension Prevention Trial 1.6 kg at 3 years in the intervention group, overall not very impressive.

The 4 year Look AHEAD results (3) reported a 4.7% weight loss at 4 years, the overall 10-year DPP (4) about 2 kg and the WOMAN Study final results, 3.4 kg at 48 months(5).

There is a serious obesity epidemic. It is very bad policy to assume a failure of long term weight loss as really a "success." We need to stop doing the same interventions with little modification over and over again, admit defeat and support new research approaches for long term successful weight loss. Rigorous standards need to be established for long term weight loss programs. There is a very high likelihood of a very expensive boondoggle.

Kuller, MD, DrPH Professor Emeritus Department of Epidemiology Graduate School of Public Health University of Pittsburgh

References

1. LeBlanc ES, O'Connor E, Whitlock EP, Patnode CD, Kapka T. Effectiveness of primary care-relevant treatments for obesity in adults: a systematic evidence review for the U.S. Preventive Services Task Force. Ann Intern Med. 2011;155:434-47.

2. Wing RR, Hill JO. Successful weight loss maintenance. Annu Rev Nutr. 2001;21:323-41.

3. The Look AHEAD Research Group. Long-term effects of a lifestyle intervention on weight and cardiovascular risk factors in individuals with type 2 diabetes mellitus. Arch Intern Med. 2010;170:1566-75.

4. Diabetes Prevention Program Research Group. 10-year follow-up of diabetes incidence and weight loss in the Diabetes Prevention Program outcomes study. Lancet 2009;374:1677-86.

5. Kuller LH, Gabriel KK, Kinzel LS, Underwood DA, Conroy MB, Chang Y, et al. The Women on the Move Through Activity and Nutrition (WOMAN) study: final 48-month results. Obesity. 2011, In Press.

Conflict of Interest:

None declared

Screening for diabetes: a call to action
Posted on October 28, 2011
Alan, Moses, Corporate Vice President and Global Chief Medical Officer, Yehuda Handelsman (President, AACE), and Daniel Einhorn (Immediate-Past President, AACE)
Novo Nordisk Inc, Princeton, NJ, USA
Conflict of Interest: None Declared

To the editor: The obesity review for the U.S. Preventive Services Task Force (USPSTF) emphasizes that behavioral interventions producing weight loss can reduce type 2 diabetes mellitus (T2DM) incidence by up to 50% (1). We support the screening recommendations for obesity, but believe there are discrepancies between these guidelines and current (2008) USPSTF recommendations for T2DM (2). Namely, USPSTF recommends screening for obesity, despite no evidence of long-term health gains from randomized prospective screening trials (1), but ignores the clear epidemiologic and etiologic relationship between obesity and T2DM by advocating screening for T2DM in asymptomatic individuals only when systolic blood pressure is >135 mmHg (2). Importantly, risks attributed to obesity or, indeed, multiple other risk factors associated with T2DM development are not considered (3).

The Centers for Disease Control and Prevention (CDC) estimates that 26 million Americans have diabetes (1/3 undiagnosed) while 79 million have prediabetes, which combined, comprise 1/3 of the U.S. population. Given that >80% of patients with T2DM are overweight/obese, USPSTF should reconsider its position on diabetes screening (2) and, consistent with rationale behind their obesity screening recommendations, recognize that beneficial outcomes (weight loss and prevention or delay of T2DM) warrant screening.

Various organizations including the American Diabetes Association (ADA) and American Association of Clinical Endocrinologists (AACE) have T2DM screening guidelines based on multiple risk factors including overweight/obesity that go beyond USPSTF recommendations (3,4). Comparison of ADA and AACE with USPSTF screening criteria revealed that using USPSTF guidelines resulted in fewer individuals being eligible for T2DM screening with substantial reductions in new diagnoses (3,4). Along with assessing blood pressure, lipids, and other risk factors during routine provider visits, opportunistic glycemic screening using A1c or FPG is simple and low-cost with minimal risk for harm. At-risk individuals can be counseled on lifestyle modification (similar to USPSTF obesity recommendations) and retested periodically, while diagnosed individuals can be treated earlier than currently occurs. Since publication of USPSTF screening recommendations for T2DM (2), long-term follow-up results from DCCT-EDIC and UKPDS have confirmed that early diagnosis and treatment can reduce risks of chronic diabetes complications.

Since T2DM has reached epidemic proportions and a U.N. resolution recognizes diabetes as a chronic, debilitating and costly disease that adversely impacts families, countries and the world (5), we urge USPSTF to consider evidence from randomized trials and expert guidelines from various professional societies, and update its recommendations to include opportunistic screening for T2DM in at-risk individuals.

References

1. LeBlanc ES, O'Connor E, Whitlock EP, Patnode CD, and Kapka T. Effectiveness of primary care-relevant treatments for obesity in adults: a systematic evidence review for the U.S Preventive Services Task Force. Ann Intern Med 2011;155:434-47.

2. U.S. Preventive Services Task Force. Screening for type 2 diabetes mellitus in adults: U.S Preventive Services Task Force recommendation statement. Ann Intern Med 2008;148:846-54.

3. American Association of Clinical Endocrinologists. Medical guidelines for clinical practice for developing a diabetes mellitus comprehensive care plan. Endocr Pract 2011;17 (Suppl. 2):1-53.

4. Sheehy AM, Flood GE, Tuan W-J, Liou J, Coursin DB, and Smith MA. Analysis of guidelines for screening diabetes mellitus in an ambulatory population. Mayo Clin Proc 2010;85:27-35.

5. United Nations Resolution 61/225: World Diabetes Day. http://www.worlddiabetesfoundation.org/media(3892,1033)/UNR_media_kit_0407.pdf. Accessed October, 19, 2011.

Conflict of Interest:

Alan Moses: Employee and share holder, Novo Nordisk. Yehuda Handelsman: Research grants: Abbott, Boehringer, Ingelheim, ConjuChem, Daiichi Sankyo, Inc, GlaxoSmithKline, Novo Nordisk, sanofi-aventis, Takeda Pharmaceuticals, Xoma, Tolrex; Consultant: Abbott, Amylin, Daiichi Sankyo, Inc, Gilead, GlaxoSmithKline, Genentech, Merck, NovoNordisk, Sanofi, Takeda, Tolrex; Speaker: AstraZeneca, Boehringer Ingelheim, Bristol-Myers Squibb, Daiichi Sankyo, Inc, GlaxoSmithKline, Merck, Novo Nordisk. Daniel Einhorn: Shareholder: Mannkind, Halozyme, Freedom-Meditech; Clinical research: Eli Lilly, Sanofi-Aventis, Johnson & Johnson, Astra Zeneca, Boehringer-Ingelheim; Advisor: Novo Nordisk, Amylin; Speaker: CME only.

Author's Response
Posted on November 21, 2011
Erin S., LeBlanc, MD, MPH, Elizabeth O' Connor, PhD
Center for Health Research, Kaiser Permanente, Portland, OR
Conflict of Interest: None Declared

We thank Dr. Kuller for his comment. We conducted this systematic review for the USPSTF to use to make its recommendation about screening and treatment of adult obesity. The USPSTF recently posted a draft recommendation for public comment, but has not yet released its final recommendation.

With regards to the articles in question, we excluded the Look AHEAD and WOMAN studies because the control groups received more than a minimal intervention, which was outside the focus of our review. Our systematic review summarized the data regarding the effectiveness of weight loss interventions compared with no intervention or usual care. We also excluded the 10-year DPP data because they were derived from a cohort design, and were thus excluded from our review. The long-term weight loss data in the intervention groups outlined by Kuller are consistent with our review. In those same studies, the control groups lost minimal to no weight or gained weight (nearly 2 kg in TOHPS phase II and HPT). Therefore, when pooled, the amount of weight loss in the intervention groups was statistically significantly greater than that in the control groups.

Erin S. LeBlanc, MD, MPH Elizabeth O' Connor, PhD Center for Health Research Kaiser Permanente Portland OR

Conflict of Interest:

None declared

What is health?
Posted on March 11, 2012
Hugh, Mann, Physician
Eagle Rock, Mo 65641
Conflict of Interest: None Declared

Health is metabolic efficiency. Sickness is metabolic inefficiency. Nobody is totally healthy or totally sick. Each of us is a unique combination of health and sickness. And each of us has a unique combination of abilities and disabilities, both emotional and physical.

As we grow up, we learn that we are loved for our abilities but hated for our disabilities. This happens at home, at play, at school, and at work. Sometimes, this even happens with our doctors, especially if our disabilities mystify them or remind them of their own disabilities.

So, we try to hide our disabilities from people and from ourselves. This charade undermines our relationships and our self-esteem. We learn to fear society and hate ourselves.

Self-hatred is the most debilitating sickness. It interferes with our ability to seek and accept help. And everybody needs help. How do we free ourselves from self-hatred?

First, we reclaim our disabilities, whether society accepts them or not. This means that we learn to accept ourselves. Then, we cope with our disabilities. This means that we learn to take care of ourselves.

Conflict of Interest:

None declared

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