Literature DB >> 27595918

Association of the magnitude of weight loss and changes in physical fitness with long-term cardiovascular disease outcomes in overweight or obese people with type 2 diabetes: a post-hoc analysis of the Look AHEAD randomised clinical trial.

Edward Gregg, John Jakicic, George Blackburn, Paul Bloomquist, George Bray, Jeanne Clark, Mace Coday, Jeffrey Curtis, Caitlin Egan, Mary Evans, John Foreyt, Gary Foster, Helen Hazuda, James Hill, Edward Horton, Van Hubbard, Robert Jeffery, Karen Johnson, Abbas Kitabchi, William Knowler, Andrea Kriska, Wei Lang, Cora Lewis, Maria Montez, David Nathan, Rebecca Neiberg, Jennifer Patricio, Anne Peters, Xavier Pi-Sunyer, Henry Pownall, Bruce Redmon, Judith Regensteiner, Jack Rejeski, Paul Ribisl, Monika Safford, Kerry Stewart, Dace Trence, Thomas Wadden, Rena Wing, Susan Yanovski.   

Abstract

BACKGROUND: Findings from the Look AHEAD trial showed no significant reductions in the primary outcome of cardiovascular disease incidence in adults with type 2 diabetes randomly assigned to an intensive lifestyle intervention for weight loss compared with those randomly assigned to diabetes support and education (control). We examined whether the incidence of cardiovascular disease in Look AHEAD varied by changes in weight or fitness.
METHODS: Look AHEAD was a randomised clinical trial done at 16 clinical sites in the USA, recruiting patients from Aug 22, 2001, to April 30, 2004. In the trial, 5145 overweight or obese adults aged 45-76 years with type 2 diabetes were assigned (1:1) to an intensive lifestyle intervention or diabetes support and education. In this observational, post-hoc analysis, we examined the association of magnitude of weight loss and fitness change over the first year with incidence of cardiovascular disease. The primary outcome of the trial and of this analysis was a composite of death from cardiovascular causes, non-fatal acute myocardial infarction, non-fatal stroke, or admission to hospital for angina. The secondary outcome included the same indices plus coronary artery bypass grafting, carotid endartectomy, percutaneous coronary intervention, hospitalisation for congestive heart failure, peripheral vascular disease, or total mortality. We adjusted analyses for baseline differences in weight or fitness, demographic characteristics, and risk factors for cardiovascular disease. The Look AHEAD trial is registered with ClinicalTrials.gov, number NCT00017953.
FINDINGS: For the analyses related to weight change, we excluded 311 ineligible participants, leaving a population of 4834; for the analyses related to fitness change, we excluded 739 participants, leaving a population of 4406. In analyses of the full cohort (ie, combining both study groups), over a median 10·2 years of follow-up (IQR 9·5-10·7), individuals who lost at least 10% of their bodyweight in the first year of the study had a 21% lower risk of the primary outcome (adjusted hazard ratio [HR] 0·79, 95% CI 0·64-0·98; p=0·034) and a 24% reduced risk of the secondary outcome (adjusted HR 0·76, 95% CI 0·63-0·91; p=0·003) compared with individuals with stable weight or weight gain. Achieving an increase of at least 2 metabolic equivalents in fitness change was associated with a significant reduction in the secondary outcome (adjusted HR 0·77, 95% CI 0·61-0·96; p=0·023) but not the primary outcome (adjusted HR 0·78, 0·60-1·03; p=0·079). In analyses treating the control group as the reference group, participants in the intensive lifestyle intervention group who lost at least 10% of their bodyweight had a 20% lower risk of the primary outcome (adjusted HR 0·80, 95% CI 0·65-0·99; p=0·039), and a 21% lower risk of the secondary outcome (adjusted HR 0·79, 95% CI 0·66-0·95; p=0·011); however, change in fitness was not significantly associated with a change in the primary outcome.
INTERPRETATION: The results of this post-hoc analysis of Look AHEAD suggest an association between the magnitude of weight loss and incidence of cardiovascular disease in people with type 2 diabetes. These findings suggest a need to continue to refine approaches to identify individuals who are most likely to benefit from lifestyle interventions and to develop strategies to improve the magnitude of sustained weight loss with lifestyle interventions. FUNDING: US National Institute of Diabetes and Digestive and Kidney Diseases.
Copyright © 2016 Elsevier Ltd. All rights reserved.

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Year:  2016        PMID: 27595918      PMCID: PMC5094846          DOI: 10.1016/S2213-8587(16)30162-0

Source DB:  PubMed          Journal:  Lancet Diabetes Endocrinol        ISSN: 2213-8587            Impact factor:   32.069


BACKGROUND

Observational studies have consistently associated obesity, physical inactivity, and low fitness with increased risk of cardiovascular disease (CVD) (1–3). Randomized controlled trials (RCTs) have shown that lifestyle interventions to reduce weight and increase physical activity levels lead to diverse metabolic benefits, including decreased levels of insulin resistance, blood pressure, and inflammatory markers, improved lipid profiles, decreased incidence of type 2 diabetes, and among persons with diabetes, improved glycemic control (4–9). However, whether these benefits lead to reduced CVD incidence, which remains the greatest single cause of morbidity and mortality for adults with diabetes, remains unclear. Observational studies of intentional weight loss have yielded mixed findings, ranging from modest benefit to harm (10). The Look AHEAD Study (Action for Health in Diabetes), the largest RCT to date of an intensive lifestyle-based weight loss intervention, led to numerous health benefits but had no significant effect on CVD morbidity and mortality (9, 11–13). A variety of explanations have been offered for the lack of an effect of ILI on CVD outcomes in Look AHEAD. One possible explanation is that the weight losses achieved were not large enough to produce an impact on CVD outcomes. Behavioral responses to intensive weight loss interventions are notoriously heterogeneous, as some participants have a limited weight loss or fitness effect in the first year, and others achieve substantial changes in weight or fitness (14–16). It is conceivable that an intensive lifestyle intervention can reduce long-term CVD incidence for people with favorable behavioral and weight loss responses, but have its benefits obscured by people who are unsuccessful at weight loss. In these secondary analyses we examine the association between the magnitude of weight loss and physical fitness from baseline to one year and CVD incidence using 2 perspectives: First, we examine the association of weight change and fitness changes to CVD incidence for the full Look AHEAD cohort, combining both participants in ILI and DSE. Second, we compare CVD rates in ILI participants according to their weight change and fitness response, with participants from the DSE group.

METHODS

Study Design, Sample, and Inclusion Criteria

Look AHEAD was a multicenter, randomized controlled trial that tested the impact of an intensive lifestyle intervention on cardiovascular disease outcomes (17, 18). Overweight and obese adults aged 45 to 76 years with type 2 diabetes were recruited at 16 research centers and randomized to either an ILI aimed at achieving sustained weight loss and increased physical activity or to a diabetes support and education intervention (DSE). Eligibility required a body mass index > 25 kg/m2 or > 27 kg/m2 among those receiving insulin therapy. Diabetes status was verified by use of diabetes medication or physician report. Participants were excluded from Look AHEAD if they had hemoglobin A1c levels > 11%, systolic blood pressure >160 mm Hg, diastolic blood pressure > 100 mm Hg, or plasma triglyceride levels > 600 mg/dl, or were unable to complete a maximal graded exercise test or two weeks of diet and activity self-monitoring. These criteria led to a sample of 5145 adults with diabetes who were randomized equally to ILI or DSE. All participants signed a consent form approved by their local institutional review board.

Intervention

Details of the intensive lifestyle intervention (ILI) have been described previously (18, 19). In brief, the ILI included weekly group and individual sessions in the first 6 months, followed by two group sessions and one individual session per month for the second 6 months, and two contacts per month (at least one in person) for years 2 through 4. The ILI aimed to reduce total caloric intake to 1200 to 1800 kcal/d based on initial weight and reduce total fat and saturated fat content to less than 30% and 10%, respectively, with support from calorie counting and provisions of meal replacements. Participants were counseled to achieve a goal of 175 minutes of physical activity per week, such as brisk walking. Behavioral strategies included self-monitoring, goal setting, and problem solving. Participants in the DSE were offered 3 group sessions each year focusing on diet, physical activity, and social support but individualized behavioral support was not provided and participants were not weighed during the sessions. Medical or pharmacological care for control of hyperglycemia, lipids, and blood pressure were provided by the participant’s physician independent of the Look AHEAD study for both groups, with the exception of temporary changes in glucose-lowering medications that were made by study staff to reduce the risk of hypoglycemia in the ILI group.

Assessments

Participants attended a baseline clinic visit and annual follow-up visits, during which body weight and height were assessed using a digital scale and stadiometer, respectively. A maximal graded exercise test was administered at baseline and a submaximal exercise test conducted at years 1 and 4. Changes in fitness were computed as the difference between estimated metabolic equivalents at the point that the participants achieved or exceeded 80% of age-predicted maximal heart rate or a rating of perceived exertion of at least 16 at baseline and at the subsequent assessment (20, 21). Intervention response was based on the difference in weight and fitness between the baseline and first year clinic visit.

Outcomes

We restricted our analyses to the Look AHEAD pre-specified outcomes, adjudicated by a masked outcomes committee. The primary CVD outcome was defined as first occurrence of non-fatal acute myocardial infarction (AMI) or stroke, hospitalized angina, or CVD death. The secondary outcome included the same indices plus coronary–artery bypass grafting, carotid endartectomy, percutaneous coronary intervention, hospitalization for congestive heart failure, peripheral vascular disease, or total mortality. The median follow-up period was 10.2 years.

Statistical Analyses

For the analyses related to weight change, we excluded 246 persons (95 from ILI and 151 from DSE) lacking body weight measurements and 65 persons who had a primary event before the first annual clinic visit, leaving an analytic sample size of 4834. (Corresponding sample size for the secondary outcome was 4813). For the analyses related to fitness, we excluded 688 persons (278 from ILI and 398 from DSE) lacking fitness measurements, and 51 persons who had a primary event before the first annual clinic visit, leaving an analytic sample size of 4406. (The corresponding sample size for the secondary outcome was 4404). Descriptive statistics were used to compare baseline characteristics of the DSE and the ILI groups according to 1-year weight loss and fitness responses from baseline to one-year of follow-up. Weight loss and fitness responses during the first year were examined as both continuous (expressed per standard deviation of weight loss and fitness increase) and categorical variables. We used the following cut points to assign categories of weight change: weight gain or weight stable (<2% weight loss or weight gain), small (> 2 to < 5% weight loss), moderate (> 5 to < 10 % loss), or large (> 10%) weight loss. We defined the large weight loss as > 10% because it corresponded with the intervention weight loss goal. Fitness change was categorized in terms of metabolic equivalents (METs) as fitness loss/stable (fitness gain < 0.5 METS), small (>0.5 to <1.0), moderate (>1.0 to <2.0), or large (≥2.0 MET) change. We conducted analyses from two distinct perspectives. First, we compared event rates across the categories of weight change and fitness change for the overall Look AHEAD study sample, with DSE and ILI groups combined, setting the stable weight group as the referent group. Second, we compared CVD rates in ILI participants according to their weight change and fitness response to lifestyle intervention, treating the DSE group as the referent group. The second analysis was undertaken to determine whether, compared to receiving DSE, receiving ILI and having a favorable response to ILI resultedresult in a reduced CVD incidence. In pharmacological trials, this analysis is sometimes referred to as a “per protocol” or “on treatment” analysis. We also tested interactions of randomization group by weight change and randomization group by fitness change on the primary outcome. For both analyses, we first calculated crude rates, then fit Cox proportional hazards regression models, adjusting for factors that varied across weight change or fitness change groups: age, sex, diabetes duration, insulin use, history of CVD, baseline smoking status, baseline weight, LDL cholesterol (LDL), systolic blood pressure (SBP) and diastolic blood pressure (DBP). We tested for non-linearity of the association of weight change and fitness change with CVD incidence and examined interactions of weight change and fitness change with the protocol-based pre-specified variables of age, CVD history, and race/ethnicity. All analyses were performed using SAS (Cary, NC). A two-sided p-value of less than 0.05 was considered statistically significant.

RESULTS

Between the baseline and first-year visits, 40% of the overall sample had stable weight or gained weight, whereas roughly 20% fell into each of the 3 weight loss categories: lost 2–5%, 5–10% or >10%. ILI participants represented only 18% of the weight stable/gain group, but 92% of those who lost >10% of weight. Participants with larger weight losses were older, more likely to be white, less likely to be taking insulin, and had lower LDL cholesterol and diastolic blood pressure than persons with stable weight or a weight gain (Table 1).
Table 1

Comparison of Baseline Characteristics According to Magnitude of First-year Weight Change and Fitness Change in the Overall Look AHEAD Sample.

Weight Change Groups (percent weight loss in first year)

Gain /Stable(<2% loss)Small Loss(2 to 5%)Medium Loss(5 to 10%)Large Loss(>10%)P Value

N (%)1972 (40.3)914 (18.7)1000 (20.4)1013 (20.7)
ILI Group (%)18.247.474.992.0
Men (%)40.539.238.743.90.07
Non-white (%)38.741.937.426.7<0.0001
Age (mean years)58.458.958.759.30.004
History of CVD (%)14.314.012.213.80.46
Using Insulin (%)17.915.712.913.90.002
Smoking: Never (%)52.250.750.447.50.11
  Current (%)3.75.44.74.1
Duration of Diabetes (mean years)6.86.96.66.80.45
BMI (mean kg/m2)35.935.835.836.10.34
LDL Cholesterol (mean mg/DL)112.7113.9110.8110.30.03
SBP (mean mm/Hg)128.6129.7128.7128.40.12
DBP (mean mm/Hg)70.270.870.469.10.004
1-y Change in weight (mean %)1.6−3.5−7.3−15.8NA
1-y fitness change (mean METs)0.10.40.71.5<0.0001

Fitness Change Groups (METs change in first-year)

Loss/Stable(<0.5)Small Gain(0.5 to 1.0)Medium Gain(1.0 to 2.0)Large Gain(>2.0)P Value

N (%)2306 (52.3)701 (15.9)812 (18.4)591 (13.4)
ILI Group (%)36.951.565.679.4
Men (%)37.838.843.152.8<0.0001
Non-white (%)38.636.231.530.3<0.0001
Age (mean years)59.458.358.257.4<0.0001
History of CVD (%)14.614.310.710.80.008
Using Insulin (%)15.416.315.811.20.05
Smoking: Never (%)52.053.247.747.00.06
  Current (%)3.74.64.73.6
Duration of Diabetes (mean years)6.87.06.46.40.18
BMI (mean kg/m2)35.936.036.034.90.001
LDL Cholesterol (mean mg/DL)112.0112.3112.5110.30.50
SBP (mean mm/Hg)128.7129.4129.1126.40.01
DBP (mean mm/Hg)69.870.570.270.80.11
1-y Change in weight (mean %)−2.4−5.2−7.4−11.3<0.0001
1-y fitness change (mean METs)−0.30.71.42.9NA

P-values obtained using the Kruskal-Wallis test for continuous variables and Chi-square test for categorical variables.

Fifty-two percent of the overall sample had a decline or no change in fitness between baseline and 1 year, whereas the remaining 48% fell roughly evenly into the 3 fitness change categories: gain 0.5 to 1.0 MET, 1.0 to 2.0 MET, > 2.0 MET (Table 1). ILI participants represented only 37% of those with no fitness improvement, increasing to 79% of persons with fitness gain > 2.0 MET. Similarly, persons with large fitness improvements were more likely to be men, white, of younger age, less likely to have CVD, have lower BMI, and have lower systolic blood pressure than those with no fitness improvement.

Analyses with ILI and DSE groups combined

In multivariate analyses (adjusting for adjusting for age, sex, baseline weight or baseline fitness, insulin use, diabetes duration, CVD history, LDL, SBP, DBP, smoking), combining participants in the DSE and ILI groups, those who lost at least 10% of body weight in the first year had a 21% lower risk of the primary outcome (HR=0.79, 95% CI, 0.64 to 0.98) and a 24% reduced risk of the secondary outcome (HR=0.76, 95% CI, 0.63 to 0.91) compared to those with stable weight/weight gain (Table 2). There was a significant association of weight change with CVD incidence across the full spectrum of weight loss groups for the secondary outcome (p for trend=0.006) but not the primary outcome (p for trend=0.17).
Table 2

Primary and Secondary Outcomes Associated with Percent Weight Change and Fitness Change: Overall Sample (ILI and DSE Combined)

Weight Change Groups (percent weight loss in first year)

Gain /Stable(<2% loss)Small Loss(2 to 5%)Medium Loss(5 to 10%)Large Loss(≥10%)Test for Trend

Primary Outcome
Events / person years289 / 17075141 / 7870154 / 8570128 / 8942
Crude rate/100 person years1.691.791.801.43
Unadjusted HR (95% C.I.)1.01.07 (0.88 – 1.31)1.07 (0.88 – 1.31)0.83 (0.67–1.02)0.21
Adjusted HR ǂ (95% C.I.)1.01.08 (0.88 – 1.33)1.16 (0.95 – 1.42)0.79 (0.64–0.98)*0.17

Secondary Outcome
Events / person years422 / 16699206 / 7657203 / 8411186 / 8792
Crude rate/100 person years2.532.692.412.12
Unadjusted HR (95% C.I.)1.01.08 (0.91– 1.27)0.96(0.81– 1.13)0.83 (0.70 – 0.99)*0.04
Adjusted HR ǂ (95% C.I.)1.01.05 (0.88 – 1.25)0.97 (0.82 – 1.16)0.76 (0.63 – 0.91)*0.006

Fitness Change Groups (METs change in first-year)

Loss/Stable(<0.5)Small Gain(0.5 to 1.0)Medium Gain(1.0 to 2.0)Large Gain(≥2.0)Test for Trend

Primary Outcome
Events / person years347 / 1999795 / 6091102 / 718372 / 5312
Crude rate/100 person years1.741.561.421.36
Unadjusted HR (95% C.I.)1.00.88 (0.70 – 1.10)0.80 (0.64 – 1.00)0.76 (0.59 – 0.98)*0.009
Adjusted HR ǂ (95% C.I.)1.00.87 (0.68 – 1.10)0.83 (0.66 – 1.05)0.78 (0.60 – 1.03)0.03

Secondary Outcome
Events / person years504 / 19596131 / 5996145 / 7056100 / 5220
Crude rate/100 person years2.572.182.051.92
Unadjusted HR (95% C.I.)1.00.83 (0.69 – 1.01)0.79 (0.65 – 0.95)*0.73 (0.59 – 0.91)*0.0005
Adjusted HR ǂ (95% C.I.)1.00.84 (0.69 – 1.02)0.79 (0.65 – 0.96)*0.77 (0.61 – 0.96)*0.0031

adjusted for sex, age, baseline weight (weight change models), baseline fitness (fitness change models),CVD history, insulin use, diabetes duration, smoking status, LDL, SBP, DBP. Primary Outcome: (non-fatal MI, stroke, hospitalized angina, CVD death); Secondary Outcome: (non-fatal MI, stroke, hospitalized angina, CABG/PTCA, hospitalized CHF, carotid endarterectomy, PVD, total mortality);

P< 0.05

Greater increases in fitness were associated with a reduced incidence of CVD for both the primary outcome (p for trend=0.03) and the secondary outcome (p for trend=0.003). Specifically, a > 2 MET increase in fitness was associated with a reduced risk of the secondary outcome (HR=0.77, 95% CI, 0.61 – 0.96) but not the primary outcome (HR=0.78, 0.60 – 1.03). Analyses of the association of weight loss and fitness change with Look AHEAD’s other pre-specified secondary outcomes (Appendix Table 3) were similar to the outcomes described above.
Appendix Table 3

Association of weight change and fitness change with additional Look AHEAD Pre-specified Secondary Outcomes.

Weight Change Groups (percent weight loss in first year)

Gain /Stable(<2% loss)Small Loss(2 to 5%)Medium Loss(5 to 10%)Large Loss(≥10%)Test for Trend

Secondary Outcome 1
Events / person years198 / 1756387 / 8139113 / 878576 / 9171
Crude rate/100 person years1.131.071.290.83
Unadjusted HR (95% C.I.)1.00.96 (0.75 – 1.24)1.16 (0.92 – 1.46)0.71 (0.55 – 0.93)*0.12
Adjusted HRǂ(95% C.I.)1.00.94 (0.73 – 1.22)1.24 (0.97 – 1.57)0.69 (0.53 – 0.91)*0.12

Secondary Outcome 2
Events / person years369 / 17076175 / 7870179 / 8570167 / 8941
Crude rate/100 person years2.162.222.091.87
Unadjusted HR (95% C.I.)1.01.04 (0.87 – 1.25)0.98 (0.82 – 1.17)0.85 (0.71 – 1.02)0.11
Adjusted HRǂ(95% C.I.)1.01.03 (0.86 – 1.24)1.03 (0.86 – 1.24)0.80 (0.66 – 0.97)*0.06

Fitness Change Groups (METs change in first-year)

Loss/Stable(<0.5)Small Gain(0.5 to 1.0)Medium Gain(1.0 to 2.0)Large Gain(≥2.0)Test for Trend

Secondary Outcome 1
Events / person years239 / 2057965 / 624069 / 733537 / 5461
Crude rate/100 person years1.161.040.940.68
Unadjusted HR (95% C.I.)1.00.88 (0.67 – 1.15)0.80 (0.61 – 1.04)0.56 (0.40 – 0.80)*0.0008
Adjusted HRǂ(95% C.I.)1.00.86 (0.64 – 1.14)0.85 (0.64 – 1.12)0.59 (0.41 – 0.85)*0.0051

Secondary Outcome 2
Events / person years778 / 19997119 / 6091123 / 718485 / 5312
Crude rate/100 person years2.231.951.711.60
Unadjusted HR (95% C.I.)1.00.86 (0.70 – 1.05)0.75 (0.62 – 0.92)*0.70 (0.55 – 0.88)*0.0002
Adjusted HRǂ(95% C.I.)1.00.85 (0.69 – 1.05)0.77 (0.62 – 0.94)*0.73 (0.57 – 0.93)*0.0013

adjusted for sex, age, baseline weight(weight change models), baseline fitness (fitness change models),CVD history, insulin use, diabetes duration, smoking status, LDL, SBP, DBP.

P< 0.05

Secondary Outcome 1: (MI, stroke, CVD Death); Secondary Outcome 2: (non-fatal MI, stroke, hospitalized angina, CVD death, total mortality)

In analyses within DSE and ILI groups (Appendix Tables 1–2), HRs for the primary and secondary CVD outcomes associated with weight loss and fitness change were similar and there was no significant interactions of weight change or fitness change by intervention group with regard to their effect on the primary or secondary outcome. However, the associations of weight change and fitness change with CVD incidence were only significant for the ILI group, as there were more people in the large weight loss and fitness groups in ILI than in DSE, for which confidence intervals were broad.
Appendix Table 1

Primary and Secondary Outcomes Associated with Percent Weight Change, Stratified by Randomization Group

Weight Change Groups (percent weight loss in first year)

ILI GroupGain /Stable(<2% loss)Small Loss(2 to 5%)Medium Loss(5 to 10%)Large Loss(≥10%)Test forTrend

Primary Outcome
Events / person years58 / 309669 / 3766114 / 6446120 / 8257
Crude rate/100 person years1.871.831.771.45
Unadjusted HR (95% C.I.)REF0.94 (0.66 – 1.33)0.91 (0.66 – 1.25)0.72 (0.52 – 0.99)*0.03
Adjusted HR ǂ (95% C.I.)REF0.78(0.54 – 1.13)0.89 (0.63 – 1.25)0.61 (0.44 – 0.86)*0.007

Secondary Outcome
Events / person years82 / 3018108 / 3643151 / 6335173 / 8127
Crude rate/100 person years2.722.962.382.13
Unadjusted HR (95% C.I.)REF1.04 (0.78 – 1.39)0.84 (0.64 – 1.10)0.73 (0.56 – 0.96)*0.003
Adjusted HR ǂ (95% C.I.)REF0.90 (0.67 – 1.22)0.79 (0.59 – 1.05)0.61 (0.45 – 0.80)*<0.0001

Weight Change Groups (percent weight loss in first year)

DSE GroupGain /Stable(<2% loss)Small Loss(2 to 5%)Medium Loss(5 to 10%)Large Loss(≥10%)Test forTrend

Primary Outcome
Events / person years231 / 1397872 / 410440 / 21248 / 685
Crude rate/100 person years1.651.751.881.17
Unadjusted HR (95% C.I.)REF1.10 (0.84 – 1.43)1.16 (0.82 – 1.62)0.72 (0.35 – 1.45)0.82
Adjusted HR ǂ (95% C.I.)REF1.17 (0.89 – 1.54)1.26 (0.88 – 1.79)0.71 (0.33 – 1.51)0.51

Secondary Outcome
Events / person years340 / 1368198 / 401452 / 207613 / 665
Crude rate/100 person years2.492.442.501.95
Unadjusted HR (95% C.I.)REF1.02 (0.81 – 1.27)1.03 (0.77 – 1.38)0.80 (0.46 – 1.40)0.76
Adjusted HR ǂ (95% C.I.)REF1.01 (0.79 – 1.27)0.99 (0.73 – 1.35)0.77 (0.42 – 1.42)0.67

adjusted for sex, age, baseline weight(percent weight loss models), baseline fitness (fitness change models),CVD history, insulin use, diabetes duration, smoking status, LDL, SBP, DBP. Primary Outcome: (non-fatal MI, stroke, hospitalized angina, CVD death); Secondary Outcome: (non-fatal MI, stroke, hospitalized angina, CABG/PTCA, hospitalized CHF, carotid endarterectomy, PVD, total mortality)

Appendix Table 2

Primary and Secondary Outcomes Associated with Fitness Change, Stratified by Randomization Group.

Fitness Change Groups (METs change in first-year)

ILI GroupLoss/Stable(<0.5)Small Gain(0.5 to 1.0)Medium Gain(1.0 to 2.0)Large Gain(≥2.0)Test for Trend

Primary Outcome
Events / person years139 / 773153 / 308264 / 474459 / 4190
Crude rate/100 person years1.801.721.351.41
Unadjusted HR (95% C.I.)REF0.93 (0.68 – 1.28)0.74 (0.55 – 0.99)*0.78 (0.57 – 1.07)0.04
Adjusted HRǂ(95% C.I.)REF0.91 (0.65 – 1.27)0.74 (0.54 – 1.01)0.80 (0.58 – 1.12)0.08

Secondary Outcome
Events / person years197 / 756478 / 304192 / 466386 / 4111
Crude rate/100 person years2.602.571.972.09
Unadjusted HR (95% C.I.)REF0.95 (0.73 – 1.24)0.74 (0.58 – 0.95)*0.79 (0.61 – 1.03)0.02
Adjusted HRǂ(95% C.I.)REF0.95 (0.72 – 1.25)0.70 (0.54 – 0.91)*0.80 (0.61 – 1.06)0.02

Fitness Change Groups (METs change in first-year)

DSE GroupLoss/Stable(<0.5)Small Gain(0.5 to 1.0)Medium Gain(1.0 to 2.0)Large Gain(≥2.0)Test for Trend

Primary Outcome
Events / person years208 / 1226642 / 300938 / 243913 / 1122
Crude rate/100 person years1.701.401.561.16
Unadjusted HR (95% C.I.)REF0.80 (0.57 – 1.12)0.89 (0.63 – 1.26)0.65 (0.37 – 1.13)0.09
Adjusted HRǂ(95% C.I.)REF0.77 (0.54 – 1.10)0.98 (0.68 – 1.40)0.66 (0.37 – 1.17)0.19

Secondary Outcome
Events / person years307 / 1203253 / 2955307 / 1203214 / 1109
Crude rate/100 person years2.551.792.221.26
Unadjusted HR (95% C.I.)REF0.68 (0.51 – 0.91)*0.86 (0.64 – 1.16)0.49 (0.28 – 0.83)*0.003
Adjusted HRǂ(95% C.I.)REF0.69 (0.51 – 0.93)*0.90 (0.66 – 1.23)0.54 (0.31 – 0.94)*0.02

adjusted for sex, age, baseline weight(percent weight loss models), baseline fitness (fitness change models), CVD history, insulin use, diabetes duration, baseline fitness smoking status, LDL, SBP, DBP. Primary Outcome: (non-fatal MI, stroke, hospitalized angina, CVD death); Secondary Outcome: (non-fatal MI, stroke, hospitalized angina, CABG/PTCA, hospitalized CHF, carotid endarterectomy, PVD, total mortality

Analyses Comparing ILI Weight and Fitness Change Groups to DSE as Referent

In multivariate analyses of the primary outcome (adjusting for age, sex, baseline weight or baseline fitness, insulin use, diabetes duration, CVD history, LDL, SBP, DBP, smoking), and treating the DSE group as the referent group, ILI participants with > 10% weight loss had a 20% reduced risk of the primary outcome (HR=0.80, 95% CI, 0.65 to 0.99) and a 21% reduced risk of the secondary outcome (HR=0.79, 95% CI, 0.66–0.95) (Table 3). Persons with a weight gain/stable weight had a 28% increased risk (HR=1.28, 95% CI, 1.01–1.64) of the secondary outcome (Table 3). Each SD of weight loss (about 7%) was associated with a 15% lower risk (HR =0.85, 95% CI, 0.76 – 0.95) of the primary outcome and 18% lower risk (HR=0.82, 95% CI, 0.74 – 0.90) of the secondary outcome compared to the DSE group (Table 2). Analyses of the association of weight loss and fitness change with Look AHEAD’s other pre-specified secondary outcomes were similar to the outcomes described above (Appendix Table 4).
Table 3

Primary and Secondary Outcomes Associated with Percent Weight Loss and Fitness Change over the First Year: Comparison of DSE Condition (Referent Group) with ILI weight loss and fitness change groups.

ILI Weight Change Groups (percent weight loss in first year)

OverallDSEGain /Stable(<2% loss)Small Loss(2 to 5%)Medium Loss(5 to 10%)Large Loss(>10%)HR per SD weightchangeP value

Primary Outcome
Events / person years351 / 2089158 / 308769 / 3766114 / 6446120 / 8266
Crude rate/100 person years1.681.881.831.771.45
Unadjusted HR (95% C.I.)1.01.14 (0.86– 1.51)1.09 (0.85 – 1.42)1.06 (0.86 – 1.31)0.84 (0.68 – 1.04)0.88 (0.79 – 0.98)0.02
Adjusted HR ǂ (95% C.I.)1.01.29 (0.96 – 1.72)1.04 (0.80 – 1.36)1.15 (0.92 – 1.43)0.80 (0.65 – 0.99)*0.85 (0.76 – 0.95)0.006

Secondary Outcome
Events / person years503 / 2043682 / 3009108 / 3643151 / 6335173 / 8136
Crude rate/100 person years2.462.722.962.382.13
Unadjusted HR (95% C.I.)1.01.14 (0.90 – 1.44)1.22 (0.99 – 1.50)0.97 (0.81 – 1.17)0.85 (0.72 –1.02)0.86 (0.78 – 0.94)0.0007
Adjusted HR ǂ (95% C.I.)1.01.28 (1.01 – 1.64)*1.19 (0.96 – 1.47)1.02 (0.84 – 1.23)0.79 (0.66 – 0.95)*0.82 (0.74 – 0.90)<0.0001

ILI Fitness Change Groups (METs change in first-year)

OverallDSELoss/Stable(<0.5)Small Gain(0.5 to 1.0)Medium Gain(1.0 to 2.0)Large Gain(>2.0)HR per SD fitnesschangeP value

Primary Outcome
Events / person years303 / 19025148 / 802553 / 308164 / 474359 / 4190
Crude rate/100 person years1.591.841.721.351.41
Unadjusted HR (95% C.I.)1.01.18 (0.97 – 1.43)1.06 (0.79 – 1.42)0.84 (0.64 – 1.10)0.87 (0.66 – 1.15)0.90(0.80 –1.01)0.08
Adjusted HR ǂ (95% C.I.)1.01.19 (0.97 – 1.46)1.06 (0.78 – 1.43)0.85 (0.64 – 1.13)0.90 (0.68 – 1.21)0.91(0.80 – 1.03)0.15

Secondary Outcome
Events / person years433 / 18657211 / 784478 / 304192 / 466386 / 4111
Crude rate/100 person years2.322.692.571.972.09
Unadjusted HR (95% C.I.)1.01.18 (1.00 – 1.39)*1.09 (0.86 – 1.39)0.85(0.68 – 1.06)0.90 (0.71 – ;1.13)0.91 (0.83 – 1.01)0.07
Adjusted HR ǂ (95% C.I.)1.01.17 (0.99 – 1.39)1.08 (0.84 – 1.38)0.83 (0.66 – 1.05)0.93 (0.73 – 1.18)0.92 (0.83 – 1.02)0.12

adjusted for sex, age, baseline weight (weight change models), baseline fitness (fitness change models), CVD history, insulin use, diabetes duration, smoking status, LDL, SBP, DBP. Primary Outcome: (non-fatal MI, stroke, hospitalized angina, CVD death); Secondary Outcome: (non-fatal MI, stroke, hospitalized angina, CABG/PTCA, hospitalized CHF, carotid endarterectomy, PVD, total mortality).

Appendix Table 4

Association of weight change and fitness change with additional Look AHEAD Pre-specified Secondary Outcomes. Comparison of DSE Condition (Referent Group) with ILI weight loss and fitness change groups.

ILI Weight Change Groups (percent weight loss in first year)

OverallDSEGain /Stable(<2% loss)Small Loss(2 to 5%)Medium Loss(5 to 10%)Large Loss(≥10%)HR per SD weightchangeP value

Secondary Outcome 1
Events / person years239 / 2147838 / 320346 / 387281 / 661770 / 8488
Crude rate/100 person years1.111.191.191.220.82
Unadjusted HR (95% C.I.)1.01.08 (0.76 – 1.53)1.08 (0.79 – 1.48)1.18 (0.87 – 1.44)0.72 (0.55 – 0.94)*0.87 (0.76 – 0.99)0.03
Adjusted HRǂ(95% C.I.)1.01.15 (0.80 – 1.65)1.06 (0.77 – 1.46)1.22 (0.94 – 1.59)0.70 (0.54 – 0.92)*0.85 (0.74 – 0.98)0.03

Secondary Outcome 2
Events / person years449 / 2089269 / 308886 / 3766132 / 6447154 / 8266
Crude rate/100 person years2.152.232.282.051.86
Unadjusted HR (95% C.I.)1.01.07 (0.83 – 1.38)1.07 (0.85 – 1.35)0.96 (0.79 – 1.17)0.85 (0.71 – 1.02)0.90 (0.81 – 0.99)0.02
Adjusted HRǂ(95% C.I.)1.01.22 (0.93 – 1.58)1.04 (0.82 – 1.32)1.02 (0.84 – 1.25)0.80 (0.66 – 0.97)*0.86 (0.78 – 0.95)0.003

ILI Fitness Change Groups (METs change in first-year)

OverallDSELoss/Stable(<0.5)Small Gain(0.5 to 1.0)Medium Gain(1.0 to 2.0)Large Gain(≥2.0)HR per SD fitnesschangeP value

Secondary Outcome 1
Events / person years208 / 19521104 / 825735 / 317239 / 485631 / 4312
Crude rate/100 person years1.071.261.100.800.72
Unadjusted HR (95% C.I.)1.01.20 (0.95 – 1.52)1.03 (0.72 – 1.47)0.75 (0.53 – 1.05)0.66 (0.45 – 0.96)0.83 (0.72 – 0.97)0.02
Adjusted HRǂ(95% C.I.)1.01.22 (0.96 – 1.56)1.04 (0.72 – 1.51)0.79 (0.55 – 1.12)0.69 (0.47 – 1.03)0.82 (0.70 – 0.97)0.02

Secondary Outcome 2
Events / person years385 / 19026183 / 802569 / 308177 / 474472 / 4190
Crude rate/100 person years2.022.282.241.621.72
Unadjusted HR (95% C.I.)1.01.15 (0.97 – 1.37)1.09 (0.85 – 1.41)0.80 (0.62 – 1.02)0.84 (0.65 – 1.08)0.90 (0.81 – 0.99)0.047
Adjusted HRǂ(95% C.I.)1.01.16 (0.97 – 1.39)1.11 (0.85 – 1.44)0.79 (0.62 – 1.02)0.87 (0.67 – 1.14)0.90 (0.80 – 1.01)0.08

adjusted for sex, age, baseline weight(weight change models), baseline fitness (fitness change models), CVD history, insulin use, diabetes duration, smoking status, LDL, SBP, DBP. Secondary Outcome 1: (MI, stroke, CVD Death); Secondary Outcome 2: (non-fatal MI, stroke, hospitalized angina, CVD death, total mortality).

Compared to persons in the DSE groups, there were no significant differences in risk of either the primary or secondary outcome according to the level of ILI-related fitness change. We also found no evidence of a non-linear relationship between weight change or fitness change and CVD incidence and no significant interactions between weight loss or fitness change and race/ethnicity, sex, or history of CVD at baseline.

DISCUSSION

In these secondary analyses of the overall cohort (ILI and DSE participants combined), achievement of a 10% weight loss or a 2 MET fitness increase in the first year was associated with an approximate 20% reduced CVD risk while there was no association of small or moderate weight loss with CVD risk. Analyses comparing ILI participants who met the 10% weight loss goal to the full group of DSE participants yielded a similar reduction in CVD incidence. As such, this is one of the first studies to-date, of either observational or randomized design, to observe an association of lifestyle-based weight loss with reduced CVD incidence. Significant reductions in CVD mortality reduction were observed in the Da Qing Diabetes Prevention Follow-up Study and reducing in CVD incidence from Mediterranean diet in the PREDIMED Study, although those trials were conducted in largely non-diabetic populations and achieved the effect with modest or no weight loss (22, 23). There are subtle but important differences in interpretation between the two analyses presented, that may complement the original null ITT findings. The analyses of the combined cohort suggest that greater weight loss or fitness gain, achieved through possibly diverse pathways including the study intervention, self-driven behavior change, or other patient characteristics, is associated with reduced CVD risk. The comparison between ILI weight loss response groups and DSE indicates that individuals who respond well to intervention by meeting the first-year intervention goals, have a 20% reduction in the CVD incidence compared to persons not receiving the intervention. These findings should not be confused with the primary intent-to-treat analysis, which showed that weight loss intervention had no significant effect on either the primary outcome or secondary outcomes. Taken together, these analyses suggest that the ILI in Look AHEAD did not achieve a large enough weight loss or fitness change among enough people to affect CVD incidence. However, these findings highlight the variation of reponses to lifestyle intervention, and resulting outcomes, that may result from lifestyle interntion. The amount of weight loss that was associated with benefit (≥10% weight loss) in the overall cohort analysis was achieved by almost 40% of the lifestyle intervention participants. Previous Look AHEAD analyses have shown that attainment of the weight loss goal was associated with more consistent attendance at intervention sessions, and with higher levels of reported physical activity, lower caloric intake, and more consistent self-monitoring (16). That study also found that among persons who met the one-year weight loss goal of 10%, 42 percent maintained at least 10% weight loss and 70% maintained at least 5% weight loss at four years. Previous studies have also shown that the amount of weight change is generally associated with the dosage of behavioral support, with optimal efficacy observed when supported by a multidisciplinary team of specialists in nutrition, exercise, and behavior change (15). These findings should be interpreted cautiously because of the potential for unmeasured confounding and selection bias that remain in secondary analyses. For example, ILI participants with large weight loss may have better underlying health or health behaviors to facilitate weight loss, or could have more actively sought or received preventive health care. The observation that intervention participants who had stable weight or a small weight gain (14% of the sample) had a higher rate of the secondary outcome than DSE participants may be further evidence of this. These types of biases have been reflected in previous studies showing that persons who adhere to a placebo have better health outcomes than those who do not (24). Given these concerns, our findings should not be considered a modification of the primary conclusions of Look AHEAD, and causality cannot be inferred from these findings. Instead they should stimulate closer examination of the characteristics and factors underlying persons who respond particularly well to lifestyle intervention and whether there are practical ways of identifying them for referral for lifestyle interventions (18, 25). Our study has some additional limitations. These analyses used one-year weight change because using a longer period of intervention response results in shorter follow-up after the period of intervention response assessment, considerably compromising statistical power. However, while one-year weight loss and fitness change are only proxies for sustained intervention response, shorter-term responses to intervention are highly correlated with longer-term responses term responses (26). These analyses were not intended to uncover the primary factors or covariates explaining the associations of weight change and fitness change with the study outcomes. In addition, our analyses did not adjust for randomization arm because of the high degree of collinearity between randomization arm and weight loss group, as 92% of the large weight loss group were ILI participants, and conversely 82% of the weight gain/weight stable group were DSE participants. However, our analyses adjusted for all variables that were observed to differ between the ILI and DSE groups, including CVD risk factors (blood pressure, lipid levels, smoking, CVD history) that have been consistently associated with CVD incidence. Of note, CVD history in this analysis was the most influential covariate, as its inclusion in the model strengthened the magnitude of association slightly by itself. Although the current cohort study findings associate weight loss with reduced CVD incidence, they should not be interpreted to support 10% weight loss as a necessary target for lifestyle interventions in all settings. Previous RCTs have demonstrated large benefits on diabetes, hypertension, and disability with more modest weight loss (e.g., 5 to 7%) without major risks (6, 7, 11, 27, 28). Weight losses of 10% or greater may carry additional risk of adverse outcomes, including gallstone disease or bone loss in older adults (29) (30, 31). It is also noteworthy that the study sample had a very high baseline BMI (mean=36); although our analyses adjusted for baseline level of obesity, findings could conceivably differ in a leaner sample of adults with diabetes. Thus, recommendations related to the magnitude of weight loss should consider diverse factors, including the characteristics and needs of the participants, mode of weight loss, and the priority outcomes for prevention. In summary, these secondary analyses, combined with the primary Look AHEAD study findings, lead to the following conclusions about the impact of intentional weight loss. First, as reported previously, the primary analyses using intention to treat indicate lifestyle intervention does not result in reduced CVD relative to DSE. However, analyses suggest that greater magnitude of weight loss was associated with lower CVD incidence in the total cohort and within ILI. These findings, combined with evidence for reduced incidence of diabetes, hypertension, disability, and other benefits indicate a need to continue to refine approaches to identify participants most likely to benefit from lifestyle interventions, and to develop strategies to improve the magnitude of sustained weight loss to lifestyle interventions (6, 11, 27).
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