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Abstract

This commentary published in the Journal of the American Medical Association calls for an end to the “diet debates" in the scientific community and reported in the media.
A Call for an End to the Diet Debates
As the obesity epidemic persists, the time has come
to end the pursuit of the “ideal” diet for weight loss and
disease prevention. The dietary debate in the scientific
community and reported in the media about the opti-
mal macronutrient-focused weight loss diet sheds little
light on the treatment of obesity and may mislead the
public regarding proper weight management . Numer-
ous randomized trials comparing diets differing in mac-
ronutrient compositions (eg, low-carbohydrate, low-
fat, Mediterranean) have demonstrated differences in
weight loss and metabolic risk factors that are small (ie,
a mean difference of <1 kg) and inconsistent. In the past
year alone, 4 meta-analyses of diet comparison studies
have been published, each summarizing 13 to 24
trials.
1-4
The only consistent finding among the trials is
that adherence—the degree to which participants con-
tinued in the program or met program goals for diet
and physical ac tivity—was most strongly associated
with weight loss and improvement in disease-related
outcomes. The long history of trials showing very mod-
est differences suggests that additional trials compar-
ing diets varying in macronutrient content most likely
will not produce finding s that would significantly
advance the science of obesity. Progress in obesity
management will require greater understanding of the
biological, behavioral, and environmental factors asso-
ciated with adherence to lifestyle changes including
both diet and physical activity.
Macronutrient content may influence dietary ad-
herence via the satiating properties of protein, carbo-
hydrates, and fat. However, dietary content is only one
of many factors inf luencing adherence. The assump-
tion that one diet is optimal for all persons is counter-
productive because this assumption ignores the varia-
tion in adherence inf luenced by food preferences,
cultural or regional traditions, food availability, and food
intolerances. These are independent of direct physi-
ological effects of macronutrient composition on weight
loss. The most important question is how to improve be-
havioral adherence.
There are 2 reasons the diet debates persist. First,
the commercialization potential of breakthrough diets
is substantial. Fad diets have created a multibillion-
dollar industry. The difference between fad diets is al-
most entirely related to macronutrient composition (eg,
Zone, Atkins, South Beach, Dukan, Paleo). A second fac-
tor is the assumption that lifestyle interventions are in-
effective. Poor adherence (and consequent weight re-
gain) following the intervention is cited as evidence that
these interventions do not work.
5
This conclusion can
be challenged because it assumes a definition for effi-
cacy more stringent than that applied to other forms of
preventive care.
Termination of treatment or nonadherence almost
always results in reduced benefit. The effects of choles-
terol-lowering agents, hypertension drugs, and diabe-
tes medications do not have long-lastingeffects after pa-
tients stop taking them, with effects declining within a
matter of hours (eg, metformin) to months (eg, statins).
Just like medical therapies, behavioral interven-
tions should only be expected to be effective when treat-
ment is active. That lifestyle interventions are viewed as
ineffective is especially surprising given that 3 large long-
term trials demonstrated that the effects of a lifestyle in-
tervention on diabetes prevention are actually sus-
tained long after the intervention ends.
6-8
The Finnish
Diabetes Prevention Study compared a 4-year lifestyle
intervention with health education and
found a reduction in diabetes incidence
for as long as 13 years,
6
9 years after the
active intervention ended. The China Da
Qing Diabetes Prevention Study showed
that a 6-year lifestyle intervention more
effectively reduced diabetes risk than a
control group for 20 years,
8
14 years af-
ter the intervention ended. The Diabe-
tes Prevention Program compared a life-
style intervention with metformin and
placebo, but exposed the latter 2 groups to the lifestyle
intervention 3 years into the study.
7
Even though all
groups eventually received some amount of lifestyle in-
tervention, at 10 years the cumulative incidence of dia-
betes was lowest in the lifestyle intervention group; this
intervention delayed onset of diabetes by 4 years rela-
tive to 2 years in the metformin group. Current efforts
need to understand the common factors of these trials,
all of which involved multipronged interventions involv-
ing dietary and exercise counseling and behavioralmodi-
fication. The pursuit of the ideal macronutrient content
diet is unidimensional, ignoring 2 of the 3 major com-
ponents of standard lifestyle interventions: behavioral
modification and exercise. To consider lifestyle inter-
ventions as diets ignores their complexity, with behav-
ioral modif ication as the piece that specifically ad-
dresses adherence.
Another important research question is how to im-
prove the scalability of lifestyle interventions. Despite
the evidence, lifestyle interventions may havebeenused
sparingly in clinical practice because reimbursement is
The ongoing diet debates expose the
public to mixed messages emanating
from various trials that have yielded
little but have heavily reinforced a fad
diet industry
VIEWPOINT
Sherry L. Pagoto, PhD
University of
Massachusetts Medical
School, Worcester.
Bradley M. Appelhans,
PhD
Rush University
Medical Center,
Chicago, Illinois.
Author Reading at
jama.com
Corresponding
Author: Sherry L.
Pagoto, PhD, Division
of Preventive and
Behavioral Medicine,
Department of
Medicine, University of
Massachusetts Medical
School, 55 Lake Ave N,
Worcester, MA 01655
(sherry.pagoto
@umassmed.edu).
jama.com JAMA August 21, 2013 Volume 310, Number 7 687
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inadequate. In December 2011, the Centers for Medicare & Medic-
aid Services (CMS) announced that it would reimburse lifestyle in-
terventions but limited this cover agetoprimarycarephysicians,phy -
sician assistants, and nurse practitioners. The restriction to primary
care practitioners will limit implementation of lifestyle interven-
tions because primary care practitioners are not usually familiar with
behavioral counseling for weight loss. These clinicians also may not
have the time or resources to deliver intensive lifestyle inter ven-
tions, as evidenced by a recent steady decline in obesity counsel-
ing by primary care physicians.
9
The number and duration of visits
that will be reimbursed by CMS are also less than that studied in clini-
cal trials.
In a shrinking funding environment for both health care and
research, it is puzzling that the diet debate continues when lifestyle
interventions with well-established long-term efficacy are available
but have not received the necessary support to be widely imple-
mented. The ongoing diet debates expose the public to mixed
messages emanating from various trials that have yielded little but
have heavily reinforced a fad diet industry that derives billions of
dollars from a nation that is not getting healthier. Because behav-
ioral adherence is much more important than diet composition, the
best approach is to counsel patients to choose a dietary plan they
find easiest to adhere to in the long term. Patients should develop
an appropriate physical activity program and learn behavioral
modification to promote long-term adherence. Although research
specifically focused on improving adherence is ongoing, the num-
ber of studies being conducted is small compared with head-to-
head macronutrient-focused diet comparison studies. Advancing
obesity treatment requires emphasis on the biological, behavioral,
and environmental factors inf luencing adherence to lifestyle
changes and developing reimbursement strategies to support life-
style interventions.
ARTICLE INFORMATION
Conflict of Interest Disclosures: The authors have
completed and submitted the ICMJE Form for
Disclosure of Potential Conflicts of Interest. Dr
Pagoto reported that she is on the Advisory Board
of Mobile Wellbeing Inc.
REFERENCES
1. Ajala O, English P, Pinkney J. Systematic review
and meta-analysis of different dietary approaches
to the management of type 2 diabetes. Am J Clin
Nutr. 2013;97(3):505-516.
2. Wycherley TP, Moran LJ, Clifton PM, Noakes M,
Brinkworth GD. Effects of energy-restricted
high-protein, low-fat compared with
standard-protein, low-fat diets: a meta-analysis of
randomized controlled trials. Am J Clin Nutr.
2012;96(6):1281-1298.
3. Hu T, Mills KT, Yao L , et al. Effects of
low-carbohydrate diets versus low-fat diets on
metabolic risk factors: a meta-analysis of
randomized controlled clinical trials. Am J
Epidemiol. 2012;176(suppl 7):S44-S54.
4. Bueno NB, de Melo IS, de Oliveira SL, da Rocha
Ataide T. Very-low-carbohydrate ketogenic diet v.
low-fat diet for long-term weight loss: a
meta-analysis of randomised controlled trials
[published online May 7, 2013]. Br J Nutr. 2013;1-10.
5. Bacon L, Aphramor L. Weight science: evaluating
the evidence for a paradigm shift [published online
January 24, 2011]. Nutr J. doi:10.1186/1475-2891-
10-9.
6. Lindström J, Peltonen M, Eriksson JG, et al;
Finnish Diabetes Prevention Study (DP S). Improved
lifestyle and decreased diabetes risk over 13 years:
long-term follow-up of the randomised Finnish
Diabetes Prevention Study (DPS). Diabetologia.
2013;56(2):284-293.
7. Knowler WC, Fowler SE, Hamman RF, et al;
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(9702):1677-1686.
8. Li G, Zhang P, Wang J, et al. The long-term effect
of lifestyle interventions to prevent diabetes in the
China Da Qing Diabetes Prevention Study: a
20-year follow-up study. Lancet. 2008;371(9626):
1783-1789.
9. Kraschnewski JL, Sciamanna CN, Stuckey HL,
et al. A silent response to the obesity epidemic:
decline in US physician weight counseling. Med
Care. 2013;51(2):186-192.
Opinion Viewpoint
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... Risk lowering by means of higher adherence to dietary change could also be observed for stroke, cardiovascular risk and type 2 diabetes [12,[14][15][16][17]. Regarding the management of type 2 diabetes, lower HbA1c and postprandial glucose levels as well as lower body mass index (BMI), waist circumference and prevalence of metabolic syndrome were associated with higher adherence to the Mediterranean diet [18]. Consequently, long-term dietary adherence is crucial in reaching and maintaining any health-related outcomes achieved through dietary changes [19,20]. To date, data that provide insight on the link between dietary adherence and its predictors is scarce and limited to small short-term studies. ...
... All changes in macronutrient intake over time were more pronounced in IG and differed significantly between IG and CG at month 12 (Supplementary Figure S2). (12,19) 17 (15,19) ATHN dimensions are shown as median (IQR). Differences between subgroups were analyzed using Mann-Whitney U test for two groups and Kruskal-Wallis rank sum test for 3 groups, tests showed no significant difference unless stated otherwise. ...
... All changes in macronutrient intake over time were more pronounced in IG and differed significantly between IG and CG at month 12 (Supplementary Figure S2). (12,19) 17 (15,19) ATHN dimensions are shown as median (IQR). Differences between subgroups were analyzed using Mann-Whitney U test for two groups and Kruskal-Wallis rank sum test for 3 groups, tests showed no significant difference unless stated otherwise. ...
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Despite beneficial cardiovascular effects, substantial long-term modulation of food pattern could only be achieved in a limited number of participants. The impact of attitude towards healthy nutrition (ATHN) on successful modulation of dietary behavior is unclear, especially in the elderly. We aimed to analyze whether the personal ATHN influences 12-month adherence to two different dietary intervention regimes within a 36-month randomized controlled trial. Methods: 502 subjects were randomized to an intervention group (IG; dietary pattern focused on high intake of unsaturated fatty acids (UFA), plant protein and fiber) or control group (CG; dietary recommendation in accordance with the German Society of Nutrition) within a 36-month dietary intervention trial. Sum scores for effectiveness, appreciation and practice of healthy nutrition were assessed using ATHN questionnaire during the trial (n = 344). Linear regression models were used to investigate associations between ATHN and dietary patterns at baseline and at month 12. Results: Retirement, higher education level, age and lower body mass index (BMI) were associated with higher ATHN sum scores. ATHN was similar in CG and IG. Higher baseline intake of polyunsaturated fatty acids (PUFA) and fiber as well as lower intake in saturated fatty acids (SFA) were associated with higher scores in practice in both groups. The intervention resulted in a stronger increase of UFA, protein and fiber in the IG after 12 months, while intake of SFA declined (p < 0.01). Higher scores in appreciation were significantly associated with higher intake of fiber and lower intake of SFA in the CG at month 12, whereas no associations between ATHN and macronutrient intake were observed in the IG after 12 months. Conclusions: While ATHN appeared to play a role in general dietary behavior, ATHN did not affect the success of the specific dietary intervention in the IG at month 12. Thus, the dietary intervention achieved a substantial modification of dietary pattern in the IG and was effective to override the impact of the individual ATHN on dietary behavior.
... There is a wealth of evidence which attempts to understand the "best" diet for human health, for example a comparison of vegetarian diets or those containing meat on cardiovascular risk factors (33), or the effects of ketogenic and Mediterranean diets on markers of glycemic control (35). It is increasingly clear that the composition of these different diets is less relevant than how well an individual can adhere to that diet (9,10,36). In this context, differences in adherence observed between the two intervention groups is important not only for later interpreting health Responses on the Exit survey according to intervention group. ...
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Background Flexitarian, vegetarian and exclusively plant-based diets are increasingly popular, particularly amongst young adults. This is the first randomised dietary intervention to investigate the health, wellbeing, and behavioural implications of consuming a basal vegetarian diet that additionally includes low-to-moderate amounts of red meat (flexitarian) compared to one containing plant-based meat alternatives (PBMAs, vegetarian) in young adults (ClinicalTrials.gov NCT04869163). The objective for the current analysis is to measure adherence to the intervention, nutrition behaviours, and participants’ experience with their allocated dietary group. Methods Eighty healthy young adults participated in this 10-week dietary intervention as household pairs. Household pairs were randomised to receive either approximately three serves of red meat (average of 390 g cooked weight per individual, flexitarian group) or PBMAs (350–400 g per individual, vegetarian group) per week on top of a basal vegetarian diet. Participants were supported to adopt healthy eating behaviours, and this intervention was developed and implemented using a behaviour change framework. Adherence (eating allocated red meat or PBMA, abstaining from animal-based foods not provided by researchers) was continuously monitored, with total scores calculated at the end of the 10-week intervention period. Eating experiences were measured by the Positive Eating Scale and a purpose-designed exit survey, and a food frequency questionnaire measured dietary intake. Analyses used mixed effects modeling taking household clustering into account. Results The total average adherence score was 91.5 (SD = 9.0) out of a possible 100, with participants in the flexitarian group scoring higher (96.1, SD = 4.6, compared to 86.7, SD = 10.0; p < 0.001). Those receiving red meat were generally more satisfied with this allocation compared to those receiving the PBMAs, even though a leading motivation for participants joining the study was an opportunity to try plant-based eating (35% expressed that their interest in taking part was related to trying plant-based eating). Participants in both intervention groups had increased vegetable intake (p < 0.001), and reported more positive eating experiences (p = 0.020) and satisfaction with eating (p = 0.021) at the end of the 10-week intervention relative to baseline values. Conclusion Methods to encourage engagement with the trial were successful, as participants demonstrated excellent adherence to the intervention. Observed differences in participants’ adherence and experiences between flexitarian and vegetarian groups holds implications for the adoption of healthy, sustainable dietary patterns beyond this study alone.
... Multiple health consequences have been associated with a greater extent of adiposity in children, including type 2 diabetes, asthma, joint pain, and mental health conditions [2][3][4][5]. Given this and evidence suggesting that childhood and adolescent obesity tracks into adulthood [6,7], there is a need for efficacious, accessible, and engaging lifestyle interventions for hard-to-reach populations, such as adolescents [8]. ...
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Background Aim2Be is a gamified lifestyle app designed to promote lifestyle behavior changes among Canadian adolescents and their families. Objective The primary aim was to test the efficacy of the Aim2Be app with support from a live coach to reduce weight outcomes (BMI Z score [zBMI]) and improve lifestyle behaviors among adolescents with overweight and obesity and their parents versus a waitlist control group over 3 months. The secondary aim was to compare health trajectories among waitlist control participants over 6 months (before and after receiving access to the app), assess whether support from a live coach enhanced intervention impact, and evaluate whether the app use influenced changes among intervention participants. MethodsA 2-arm parallel randomized controlled trial was conducted from November 2018 to June 2020. Adolescents aged 10 to 17 years with overweight or obesity and their parents were randomized into an intervention group (Aim2Be with a live coach for 6 months) or a waitlist control group (Aim2Be with no live coach; accessed after 3 months). Adolescents’ assessments at baseline and at 3 and 6 months included measured height and weight, 24-hour dietary recalls, and daily step counts measured with a Fitbit. Data on self-reported physical activity, screen time, fruit and vegetable intake, and sugary beverage intake of adolescents and parents were also collected. ResultsA total of 214 parent-child participants were randomized. In our primary analyses, there were no significant differences in zBMI or any of the health behaviors between the intervention and control groups at 3 months. In our secondary analyses, among waitlist control participants, zBMI (P=.02), discretionary calories (P=.03), and physical activity outside of school (P=.001) declined, whereas daily screen time increased (P
... Treatment of obesity is multidisciplinary, with lifestyle changes being the first option, including changes in food choices and increased levels of physical activity (13). The investigation of dietary approaches that may promote patient adherence to treatment is a fruitful area of research (14). ...
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Aims/hypothesis: This study aimed to determine whether lifestyle intervention lasting for 4 years affected diabetes incidence, body weight, glycaemia or lifestyle over 13 years among individuals at high risk of type 2 diabetes. Methods: Overweight, middle-aged men (n = 172) and women (n = 350) with impaired glucose tolerance were randomised in 1993-1998 to an intensive lifestyle intervention group (n = 265), aiming at weight reduction, dietary modification and increased physical activity, or to a control group (n = 257) that received general lifestyle information. The primary outcome was a diagnosis of diabetes based on annual OGTTs. Secondary outcomes included changes in body weight, glycaemia, physical activity and diet. After active intervention (median 4 years, range 1-6 years), participants still free of diabetes and willing to continue their participation (200 in the intervention group and 166 in the control group) were further followed until diabetes diagnosis, dropout or the end of 2009, with a median total follow-up of 9 years and a time span of 13 years from baseline. Results: During the total follow-up the adjusted HR for diabetes (intervention group vs control group) was 0.614 (95% CI 0.478, 0.789; p < 0.001). The corresponding HR during the post-intervention follow-up was 0.672 (95% CI 0.477, 0.947; p = 0.023). The former intervention group participants sustained lower absolute levels of body weight, fasting and 2 h plasma glucose and a healthier diet. Adherence to lifestyle changes during the intervention period predicted greater risk reduction during the total follow-up. Conclusions/interpretation: Lifestyle intervention in people at high risk of type 2 diabetes induces sustaining lifestyle change and results in long-term prevention of progression to type 2 diabetes.
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Current guidelines recommend that "overweight" and "obese" individuals lose weight through engaging in lifestyle modification involving diet, exercise and other behavior change. This approach reliably induces short term weight loss, but the majority of individuals are unable to maintain weight loss over the long term and do not achieve the putative benefits of improved morbidity and mortality. Concern has arisen that this weight focus is not only ineffective at producing thinner, healthier bodies, but may also have unintended consequences, contributing to food and body preoccupation, repeated cycles of weight loss and regain, distraction from other personal health goals and wider health determinants, reduced self-esteem, eating disorders, other health decrement, and weight stigmatization and discrimination. This concern has drawn increased attention to the ethical implications of recommending treatment that may be ineffective or damaging. A growing trans-disciplinary movement called Health at Every Size (HAES) challenges the value of promoting weight loss and dieting behavior and argues for a shift in focus to weight-neutral outcomes. Randomized controlled clinical trials indicate that a HAES approach is associated with statistically and clinically relevant improvements in physiological measures (e.g., blood pressure, blood lipids), health behaviors (e.g., eating and activity habits, dietary quality), and psychosocial outcomes (such as self-esteem and body image), and that HAES achieves these health outcomes more successfully than weight loss treatment and without the contraindications associated with a weight focus. This paper evaluates the evidence and rationale that justifies shifting the health care paradigm from a conventional weight focus to HAES.
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Intensive lifestyle interventions can reduce the incidence of type 2 diabetes in people with impaired glucose tolerance, but how long these benefits extend beyond the period of active intervention, and whether such interventions reduce the risk of cardiovascular disease (CVD) and mortality, is unclear. We aimed to assess whether intensive lifestyle interventions have a long-term effect on the risk of diabetes, diabetes-related macrovascular and microvascular complications, and mortality. In 1986, 577 adults with impaired glucose tolerance from 33 clinics in China were randomly assigned to either the control group or to one of three lifestyle intervention groups (diet, exercise, or diet plus exercise). Active intervention took place over 6 years until 1992. In 2006, study participants were followed-up to assess the long-term effect of the interventions. The primary outcomes were diabetes incidence, CVD incidence and mortality, and all-cause mortality. Compared with control participants, those in the combined lifestyle intervention groups had a 51% lower incidence of diabetes (hazard rate ratio [HRR] 0.49; 95% CI 0.33-0.73) during the active intervention period and a 43% lower incidence (0.57; 0.41-0.81) over the 20 year period, controlled for age and clustering by clinic. The average annual incidence of diabetes was 7% for intervention participants versus 11% in control participants, with 20-year cumulative incidence of 80% in the intervention groups and 93% in the control group. Participants in the intervention group spent an average of 3.6 fewer years with diabetes than those in the control group. There was no significant difference between the intervention and control groups in the rate of first CVD events (HRR 0.98; 95% CI 0.71-1.37), CVD mortality (0.83; 0.48-1.40), and all-cause mortality (0.96; 0.65-1.41), but our study had limited statistical power to detect differences for these outcomes. Group-based lifestyle interventions over 6 years can prevent or delay diabetes for up to 14 years after the active intervention. However, whether lifestyle intervention also leads to reduced CVD and mortality remains unclear.
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Background: There is evidence that reducing blood glucose concentrations, inducing weight loss, and improving the lipid profile reduces cardiovascular risk in people with type 2 diabetes. Objective: We assessed the effect of various diets on glycemic control, lipids, and weight loss. Design: We conducted searches of PubMed, Embase, and Google Scholar to August 2011. We included randomized controlled trials (RCTs) with interventions that lasted ≥6 mo that compared low-carbohydrate, vegetarian, vegan, low–glycemic index (GI), high-fiber, Mediterranean, and high-protein diets with control diets including low-fat, high-GI, American Diabetes Association, European Association for the Study of Diabetes, and low-protein diets. Results: A total of 20 RCTs were included (n = 3073 included in final analyses across 3460 randomly assigned individuals). The low-carbohydrate, low-GI, Mediterranean, and high-protein diets all led to a greater improvement in glycemic control [glycated hemoglobin reductions of −0.12% (P = 0.04), −0.14% (P = 0.008), −0.47% (P < 0.00001), and −0.28% (P < 0.00001), respectively] compared with their respective control diets, with the largest effect size seen in the Mediterranean diet. Low-carbohydrate and Mediterranean diets led to greater weight loss [−0.69 kg (P = 0.21) and −1.84 kg (P < 0.00001), respectively], with an increase in HDL seen in all diets except the high-protein diet. Conclusion: Low-carbohydrate, low-GI, Mediterranean, and high-protein diets are effective in improving various markers of cardiovascular risk in people with diabetes and should be considered in the overall strategy of diabetes management.
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The effects of low-carbohydrate diets (≤45% of energy from carbohydrates) versus low-fat diets (≤30% of energy from fat) on metabolic risk factors were compared in a meta-analysis of randomized controlled trials. Twenty-three trials from multiple countries with a total of 2,788 participants met the predetermined eligibility criteria (from January 1, 1966 to June 20, 2011) and were included in the analyses. Data abstraction was conducted in duplicate by independent investigators. Both low-carbohydrate and low-fat diets lowered weight and improved metabolic risk factors. Compared with participants on low-fat diets, persons on low-carbohydrate diets experienced a slightly but statistically significantly lower reduction in total cholesterol (2.7 mg/dL; 95% confidence interval: 0.8, 4.6), and low density lipoprotein cholesterol (3.7 mg/dL; 95% confidence interval: 1.0, 6.4), but a greater increase in high density lipoprotein cholesterol (3.3 mg/dL; 95% confidence interval: 1.9, 4.7) and a greater decrease in triglycerides (-14.0 mg/dL; 95% confidence interval: -19.4, -8.7). Reductions in body weight, waist circumference and other metabolic risk factors were not significantly different between the 2 diets. These findings suggest that low-carbohydrate diets are at least as effective as low-fat diets at reducing weight and improving metabolic risk factors. Low-carbohydrate diets could be recommended to obese persons with abnormal metabolic risk factors for the purpose of weight loss. Studies demonstrating long-term effects of low-carbohydrate diets on cardiovascular events were warranted.
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Background: Guidelines recommend that physicians screen all adults for obesity and offer an intensive counseling and behavioral interventions for weight loss for obese adults. Current trends of weight-related counseling are unknown in the setting of the US obesity epidemic. Objectives: To describe primary care physician (PCP) weight-related counseling, comparing counseling rates in 1995-1996 and 2007-2008. Research design: Data analysis of outpatient PCP visits in 1995-1996 and 2007-2008, as reported in the National Ambulatory Medical Care Survey. Subjects: A total of 32,519 adult primary care visits with PCPs. Measures: Rates of counseling for weight, diet, exercise, and a composite variable, weight-related counseling (defined as counseling for weight, diet, or exercise) between survey years. Adjusted analyses controlled for patient and visit characteristics. Results: Weight counseling declined from 7.8% of visits in 1995-1996 to 6.2% of visits in 2007-2008 [adjusted odds ratios, 0.64; 95% confidence intervals, 0.53, 0.79]. Rates of receipt of diet, exercise, and weight-related counseling similarly declined. Greater declines in odds of weight-counseling receipt were observed among those with hypertension (47%), diabetes (59%), and obesity (41%), patients who stand the most to gain from losing weight. Conclusions: Rates of weight counseling in primary care have significantly declined despite increased rates of overweight and obesity in the United States. Further, these declines are even more marked in patients with obesity and weight-related comorbidities, despite expectations to provide such care by both patients and policymakers. These findings have implications for determining deliverable, novel ways to engage PCPs in addressing the obesity epidemic.
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In the 2.8 years of the Diabetes Prevention Program (DPP) randomised clinical trial, diabetes incidence in high-risk adults was reduced by 58% with intensive lifestyle intervention and by 31% with metformin, compared with placebo. We investigated the persistence of these effects in the long term. All active DPP participants were eligible for continued follow-up. 2766 of 3150 (88%) enrolled for a median additional follow-up of 5.7 years (IQR 5.5-5.8). 910 participants were from the lifestyle, 924 from the metformin, and 932 were from the original placebo groups. On the basis of the benefits from the intensive lifestyle intervention in the DPP, all three groups were offered group-implemented lifestyle intervention. Metformin treatment was continued in the original metformin group (850 mg twice daily as tolerated), with participants unmasked to assignment, and the original lifestyle intervention group was offered additional lifestyle support. The primary outcome was development of diabetes according to American Diabetes Association criteria. Analysis was by intention-to-treat. This study is registered with ClinicalTrials.gov, number NCT00038727. During the 10.0-year (IQR 9.0-10.5) follow-up since randomisation to DPP, the original lifestyle group lost, then partly regained weight. The modest weight loss with metformin was maintained. Diabetes incidence rates during the DPP were 4.8 cases per 100 person-years (95% CI 4.1-5.7) in the intensive lifestyle intervention group, 7.8 (6.8-8.8) in the metformin group, and 11.0 (9.8-12.3) in the placebo group. Diabetes incidence rates in this follow-up study were similar between treatment groups: 5.9 per 100 person-years (5.1-6.8) for lifestyle, 4.9 (4.2-5.7) for metformin, and 5.6 (4.8-6.5) for placebo. Diabetes incidence in the 10 years since DPP randomisation was reduced by 34% (24-42) in the lifestyle group and 18% (7-28) in the metformin group compared with placebo. During follow-up after DPP, incidences in the former placebo and metformin groups fell to equal those in the former lifestyle group, but the cumulative incidence of diabetes remained lowest in the lifestyle group. Prevention or delay of diabetes with lifestyle intervention or metformin can persist for at least 10 years. National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK).