Literature DB >> 25147253

Impact of an intensive lifestyle intervention on use and cost of medical services among overweight and obese adults with type 2 diabetes: the action for health in diabetes.

Mark A Espeland1, Henry A Glick2, Alain Bertoni3, Frederick L Brancati4, George A Bray5, Jeanne M Clark4, Jeffrey M Curtis6, Caitlin Egan7, Mary Evans8, John P Foreyt9, Siran Ghazarian10, Edward W Gregg11, Helen P Hazuda12, James O Hill13, Don Hire14, Edward S Horton15, Van S Hubbard8, John M Jakicic16, Robert W Jeffery17, Karen C Johnson18, Steven E Kahn19, Tina Killean6, Abbas E Kitabchi18, William C Knowler6, Andrea Kriska16, Cora E Lewis20, Marsha Miller13, Maria G Montez12, Anne Murillo19, David M Nathan21, Ebenezer Nyenwe18, Jennifer Patricio22, Anne L Peters10, Xavier Pi-Sunyer22, Henry Pownall9, J Bruce Redmon17, Julia Rushing14, Donna H Ryan5, Monika Safford20, Adam G Tsai23, Thomas A Wadden2, Rena R Wing7, Susan Z Yanovski8, Ping Zhang11.   

Abstract

OBJECTIVE: To assess the relative impact of an intensive lifestyle intervention (ILI) on use and costs of health care within the Look AHEAD trial. RESEARCH DESIGN AND METHODS: A total of 5,121 overweight or obese adults with type 2 diabetes were randomly assigned to an ILI that promoted weight loss or to a comparison condition of diabetes support and education (DSE). Use and costs of health-care services were recorded across an average of 10 years.
RESULTS: ILI led to reductions in annual hospitalizations (11%, P = 0.004), hospital days (15%, P = 0.01), and number of medications (6%, P < 0.001), resulting in cost savings for hospitalization (10%, P = 0.04) and medication (7%, P < 0.001). ILI produced a mean relative per-person 10-year cost savings of $5,280 (95% CI 3,385-7,175); however, these were not evident among individuals with a history of cardiovascular disease.
CONCLUSIONS: Compared with DSE over 10 years, ILI participants had fewer hospitalizations, fewer medications, and lower health-care costs.
© 2014 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered.

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Year:  2014        PMID: 25147253      PMCID: PMC4140155          DOI: 10.2337/dc14-0093

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


Introduction

The number of adults who both are overweight or obese and have type 2 diabetes is increasing rapidly (1). In the U.S., >35% of adults are obese (2), and the projected number of diabetes cases exceeds 30 million (3). Separately, obesity and diabetes markedly increase health-care costs (4–6), and their coexistence further increases costs (7). Strategies to reduce the economic impact of these trends are needed. Lifestyle interventions aimed at promoting long-term weight loss and increased physical activity are recommended for overweight and obese individuals with type 2 diabetes. Although reduced health-care costs have been suggested to accompany these interventions (8–14), no studies have prospectively recorded their long-term effects on health-care costs among these individuals. The Action for Health in Diabetes (Look AHEAD) study is the first randomized clinical trial with sufficient size and duration to test whether behavioral intervention targeting weight loss and increased physical activity influences long-term health-care service use and costs.

Research Design and Methods

The design and methods of the Look AHEAD trial have been published previously (15), as have its CONSORT (Consolidated Standards of Reporting Trials) diagram and the results for its primary outcome (16). Look AHEAD was a single-blinded randomized controlled trial that recruited 5,145 individuals (from 2001 to 2004) who were overweight or obese and had type 2 diabetes. To be eligible, they had to meet the following criteria: 45–76 years of age, BMI >25 kg/m2 (>27 kg/m2 if treated with insulin), glycated hemoglobin (HbA1c) <11% (97 mmol/mol), blood pressure <160/<100 mmHg, triglyceride level <600 mg/dL, and successful completion of a maximum graded exercise test. Participants at the trial’s 16 sites were randomly assigned with equal probability to an intensive lifestyle intervention (ILI) or diabetes support and education (DSE) comparator. All participants provided informed consent. Local institutional review boards approved the protocols. On 14 September 2012, the study was directed by its sponsor (National Institute of Diabetes and Digestive and Kidney Diseases) to terminate interventions based on recommendations from the trial’s data and safety monitoring board. This recommendation was based on an evaluation of statistical futility for the trial’s primary end point, a composite of death from cardiovascular disease, nonfatal myocardial infarction, nonfatal stroke, and hospitalization for angina (16).

Interventions

ILI participants were assigned calorie, dietary fat, and physical activity goals (17). Trained interventionists provided instruction and encouragement in face-to-face group and individual meetings weekly for 6 months and three times per month for the next 6 months. Thereafter, ILI participants were offered an individual and group meeting each month and periodic refresher group meetings. DSE participants were invited to three group sessions on general education about diabetes self-care per year during the first 4 years and one per year thereafter (18). Look AHEAD investigators did not manage any medical care or medical service use (e.g., admit participants to the hospital, change dosages of or stop prescription medications, or prescribe rehabilitation). This management remained in the hands of the participants' health-care providers. The only exceptions were for temporary changes in glucose medications made by study staff to reduce the risk of hypoglycemia and the prescription of orlistat to 684 (27%) ILI participants, which was largely discontinued in 2008. The median duration of orlistat use among these 684 participants was 0.98 (interquartile range 0.43–1.66) years.

Assessments and Outcomes

At baseline, demographic data, medical history, and sources of medical care were collected by self-report. Weight and height were measured in duplicate using a digital scale and stadiometer. Hypertension was determined based on the use of antihypertensive medications or measured blood pressure. History of cardiovascular disease was defined by self-report of prior myocardial infarction, stroke, coronary or lower-extremity angioplasty, carotid endarterectomy, or coronary bypass surgery. Hospitalizations, outpatient visits (office, hospital clinic, or other), outpatient tests and procedures, rehabilitation/long-term care, and home care were assessed annually through face-to-face interviews at clinic visits and at 6-month intervals by telephone. A validation study confirmed that information on hospitalizations for procedures unrelated to major study end points that had lengths of stay of ≤3 days could be collected by self-report. These accounted for 14% of hospitalizations. For the other 86% of hospitalizations, hospital records were reviewed for admission and discharge dates, reasons for hospitalization, and discharge status. Hospitalizations were categorized using the Clinical Classifications Software system from the Agency for Healthcare Research and Quality (www.hcup-us.ahrq.gov/toolssoftware/ccs/ccsfactsheet.jsp). Participants brought prescription medications to annual clinic visits for recording. Follow-up was censored at each participant’s last interview and, thus, excludes health-care use and costs associated with death. All data were collected by centrally trained staff who were masked to intervention assignment. Regression models that included age, sex, discharge location, primary diagnosis, primary procedure, and length of stay as predictors were fitted to data from the Nationwide Inpatient Sample (19) to project hospitalization costs. Outpatient care costs were based on the Medicare Physician Fee Schedule (www.cms.gov/apps/physican-fee-schedule). Rehabilitation, long-term care, and home health services costs were based on Medicare Skilled Nursing Facility Prospective Payment System and National Home Health Utilization statistics for Medicare Parts A and B (www.cms.gov). Medication costs were based on adjusted average wholesale prices obtained from the Red Book (www.redbook.com/redbook) from January to May 2013. Medications were grouped by using this resource to disaggregate the broader U.S. Food and Drug Administration classifications (www.fda.gov/drugs/developmentapprovalprocess/howdrugsaredevelopedandapproved/approvalapplications/investigationalnewdrugindapplication/ucm176533.htm). Costs were obtained for both brand-name and generic-brand drugs and assigned to medications proportional to the reported use (i.e., brand name vs. generic) by participants. Medication doses were not recorded; the most commonly prescribed doses were assumed. Adjustments accounted for the relationship between average wholesale prices and the cost of both the manufacturing and the purchasing of drugs (20,21). All costs were expressed in 2012 dollars, with adjustments made using the medical care component of the Consumer Price Index (www.bls.gov/data/inflation_calculator.htm).

Statistical Analysis

We report two types of outcomes: per-participant average annual rates and costs of medical service use and per-participant 10-year cumulative mean discounted costs. Data were collected from contacts with participants occurring before 14 September 2012. Hospitalizations reported later but that had admission dates before 14 September 2012 were also included. Analyses followed intention-to-treat principles and used all available data, with participants included in their randomization group independent of adherence. For per-participant average annual estimates, frequencies and costs were tallied for each participant and divided by follow-up time to obtain observed counts and costs per year. For inference, weighted ANCOVA was used to compare intervention groups, with analytical weights proportional to participants’ lengths of follow-up. Clinic, the sole stratification factor in randomization, was a covariate. To accumulate costs over 10 years, annual estimates were discounted at 3% per year and summed. Bootstrapping was used for CIs of the 10-year differences in accumulated mean costs. The Look AHEAD protocol prespecified subgroup comparisons for the primary outcome of major cardiovascular events were based on sex, history of cardiovascular disease, and race/ethnicity. Although this prespecification did not extend to other study outcomes, we report parallel comparisons for use rates and costs. We also report results for subgroups based on age and baseline BMI. Tests of interaction were used to assess the consistency of differences between intervention groups for each of these subgroups.

Results

Follow-up cost data were available from 5,121 of the 5,145 Look AHEAD participants (99.5%). Twenty-four participants withdrew from the trial or were lost to follow-up before the collection of any cost data. Collectively, these 5,121 individuals provided 50,498 person-years of follow-up (averaging 9.9 years per participant). Follow-up was terminated for refusal and lost contact in 6.2% of ILI and 6.5% of DSE participants (P = 0.62) and for death in 6.8% of ILI and 7.8% of DSE participants (P = 0.15).

Baseline Characteristics

At baseline (Table 1), 25% of participants were aged 45–54 years, 55% were aged 55–64 years, and 20% were aged 65–76 years. Fifteen percent were overweight (BMI 25.0–29.9 kg/m2), and 22% had class III obesity (BMI ≥40.0 kg/m2). Sixty percent were female; 54% had diabetes for at least 5 years; 14% had a history of cardiovascular disease; and 63% were non-Hispanic white. None of the characteristics in Table 1 differed significantly between intervention groups.
Table 1

Characteristics at the time of enrollment into the Look AHEAD trial by intervention assignment

CharacteristicDSE (n = 2,563)ILI (n = 2,558)P value
Age0.15
 45–54 years2325
 55–64 years5556
 65–76 years2119
BMI0.16
 25.0–29.9 kg/m21416
 30.0–34.9 kg/m23536
 35.0–39.9 kg/m22926
 >40 kg/m22222
Sex0.75
 Female6060
 Male4040
History of cardiovascular disease*0.45
 No8686
 Yes1414
Race/ethnicity0.98
 African American1616
 American Indian55
 Hispanic/Latino1313
 Non-Hispanic white6363
 Other/mixed33
Diabetes duration (n = 40 missing)0.20
 <5 years4547
 ≥5 years5553
Education (n = 110 missing)0.54
 High school or less2120
 Post-high school3837
 College graduate4142
Hypertension0.34
 No1716
 Yes8384
Prescription medications, mean number
 Antihypertensive1.201.240.29
 Diabetes1.401.380.51
 Lipid lowering0.530.530.86
Annual household income (n = 503 missing)0.84
 <$40,0003434
 $40,000 to <$80,0003737
 ≥$80,0003029
Health insurance status
 Uninsured890.71
 Insured (self or work)77770.66
 Medicare/Medicaid21200.13
 Tricare/VA/military450.36
 Indian Health Service230.32
 Other/not reported440.56
Usual source of health care (n = 13 missing)0.73
 Private physician’s office7474
 Hospital clinic/outpatient1212
 Community health center88
 Other health-care facility56
 No usual source of care11

Data are % unless otherwise indicated. VA, Veterans Affairs.

*History of cardiovascular disease included myocardial infarction, coronary artery bypass, angioplasty/stent procedure, peripheral vascular disease, stroke, stable angina, and class I/II heart failure.

†Participants were able to indicate more than one source of health insurance.

‡χ2 test.

Characteristics at the time of enrollment into the Look AHEAD trial by intervention assignment Data are % unless otherwise indicated. VA, Veterans Affairs. *History of cardiovascular disease included myocardial infarction, coronary artery bypass, angioplasty/stent procedure, peripheral vascular disease, stroke, stable angina, and class I/II heart failure. Participants were able to indicate more than one source of health insurance. ‡χ2 test.

Service Use

ILI participants averaged 0.177 hospitalizations per year compared with 0.199 hospitalizations per year for DSE participants, an 11% (P = 0.004) reduction (Table 2). Reductions in hospitalization rates reached nominal statistical significance for cardiovascular (11%, P = 0.04), pulmonary (27%, P = 0.05), and other (i.e., not among the named categories) (8%, P = 0.05) diseases. There was a significant 15% (P = 0.01) reduction in the average annual days in the hospital (0.69 vs. 0.81 days/year for ILI and DSE participants, respectively). ILI participants also had relative reductions of 14% (P = 0.05) and 16% (P = 0.001) in the annual rates of rehabilitation/long-term care and home care, respectively. There was no significant difference between the groups in the rates of outpatient visits, but the ILI group had lower rates for outpatient rehabilitation facilities, home care, and hospitalization.
Table 2

Average annual rates of medical service use and average annual costs over follow-up for participants grouped by intervention assignment

CategoryDSEILIDifference (SE)Percent decrease (increase) in useP value*
Per-participant average annual medical service use
 Hospitalizations0.199 (0.006)0.177 (0.006)0.023 (0.008)110.004
  Bone0.009 (0.001)0.008 (0.001)0.001 (0.001)110.20
  Cancer0.013 (0.002)0.012 (0.001)0.0005 (0.0024)40.84
  Cardiovascular0.066 (0.003)0.059 (0.002)0.008 (0.004)110.04
  Metabolism0.010 (0.001)0.008 (0.001)0.002 (0.001)200.07
  Pulmonary0.011 (0.001)0.008 (0.001)0.003 (0.001)270.05
  Renal0.004 (0.001)0.003 (0.001)0.001 (0.001)250.22
  Other0.086 (0.003)0.079 (0.003)0.008 (0.004)80.05
 Days in hospital0.81 (0.03)0.69 (0.03)0.11 (0.04)150.01
 Outpatient services
  Visits11.75 (0.11)11.50 (0.11)0.25 (0.16)20.13
  Rehabilitation center/LTC (%)2.9 (0.17)2.5 (0.17)0.4 (0.20)140.05
  Home care (%)7.3 (0.26)6.1 (0.26)1.2 (0.37)160.001
 Medications4.96 (0.05)4.65 (0.05)0.31 (0.06)6<0.0001
  Diabetes1.45 (0.01)1.25 (0.01)0.19 (0.02)14<0.0001
  Lipid lowering0.65 (0.01)0.62 (0.01)0.04 (0.01)50.002
  Antihypertensive1.24 (0.02)1.19 (0.02)0.06 (0.02)40.02
  Other cardiovascular disease0.11 (0.005)0.10 (0.005)0.01 (0.01)90.14
  Psychiatric/neurologic0.29 (0.01)0.32 (0.01)−0.03 (0.01)(10)0.02
  Musculoskeletal0.20 (0.01)0.21 (0.01)−0.003 (0.01)(5)0.59
  Other1.02 (0.02)0.97 (0.02)0.05 (0.03)50.06
Per-participant average annual medical service costs
 Hospitalization2,789 (96)2,506 (96)283 (136)100.04
  Bone136 (16)120 (16)16 (23)120.49
  Cancer219 (31)213 (31)6 (43)30.89
  Cardiovascular1,024 (54)948 (54)77 (77)30.32
  Metabolism123 (11)91 (11)32 (16)80.04
  Pulmonary137 (19)90 (19)47 (27)260.08
  Renal45 (7)32 (7)12 (10)270.22
  Other1,106 (47)1,012 (46)94 (66)80.16
 Outpatient services2,344 (41)2,313 (40)31 (57)10.59
  Visits1,513 (15)1,502 (15)11 (22)10.61
  Tests and procedures510 (7)502 (7)8 (10)20.48
  Rehabilitation center/LTC198 (29)201 (29)−3 (41)(2)0.93
  Home care123 (10)107 (10)16 (13)130.24
 Medications3,784 (44)3,503 (43)281 (61)7<0.0001
  Diabetes1,226 (18)1,012 (18)214 (25)17<0.0001
  Lipid lowering841 (12)793 (12)48 (17)60.005
  Antihypertensive436 (7)411 (7)25 (10)60.01
  Other cardiovascular disease111 (5)96 (5)15 (8)140.06
  Psychiatric/neurologic329 (13)367 (13)−38 (19)(12)0.04
  Musculoskeletal89 (4)96 (4)−7 (6)(8)0.23
  Other752 (19)727 (19)25 (27)30.35
Total annual cost8,916 (133)8,321 (133)595 (188)70.002

Data are mean (SE) unless otherwise indicated. LTC, long-term care.

*Weighted ANCOVA.

†Metabolism includes hospitalizations for nondiabetic endocrine disorders (e.g., thyroid); fluid, electrolyte, and nutrition disorders; and other metabolic disorders (e.g., gout).

Average annual rates of medical service use and average annual costs over follow-up for participants grouped by intervention assignment Data are mean (SE) unless otherwise indicated. LTC, long-term care. *Weighted ANCOVA. †Metabolism includes hospitalizations for nondiabetic endocrine disorders (e.g., thyroid); fluid, electrolyte, and nutrition disorders; and other metabolic disorders (e.g., gout). On average across follow-up, ILI participants attending clinic visits were taking 4.65 prescription medications compared with 4.96 medications in DSE, a reduction of 6% (P < 0.0001). The most significant reductions occurred for diabetes drugs (14%, P < 0.0001), lipid-lowering drugs (5%, P = 0.002), and antihypertensives (4%, P = 0.02). Use of psychiatric/neurologic drugs (the majority of which were agents that may be prescribed to treat depression, neuropathy, and insomnia) was 10% (P = 0.02) greater among ILI than among DSE participants.

Costs

The per-participant average annual cost of health-care services and medications was 7% less among ILI than among DSE participants ($8,321 vs. $8,916 per year; P = 0.002). This resulted from fewer hospitalizations and less medication use (Table 2). The annual 11% fewer hospitalizations translated to 10% ($283) lower per-participant average annual costs (P = 0.04). The 6% lower annual use of prescribed medications translated to a 7% ($281) lower annual medication cost (P < 0.0001). The most significant lower per-participant average annual medication costs were for diabetes drugs (17%, P < 0.0001), lipid-lowering drugs (6%, P = 0.005), and antihypertensive drugs (6%, P = 0.01). The 10% greater use of psychiatric/neurologic drugs for ILI participants translated to a 12% (P = 0.04) greater per-participant average annual psychiatric/neurologic drug cost. Ten-year discounted cumulative costs (Fig. 1) were $78,361 (DSE) vs. $73,081 (ILI), a difference of $5,280 (95% CI $3,385–$7,175). Assignment to ILI yielded $2,567 ($954–$4,180) lower 10-year discounted hospitalization costs and $2,474 ($2,047–$2,901) lower discounted medication costs. Ten-year differences in discounted outpatient service costs were lower ($239 [−$267 to $745]).
Figure 1

Per-participant average 10-year cumulative discounted costs. A: Ten-year cumulative total costs. B: Ten-year cumulative medication costs. C: Ten-year cumulative hospitalization costs. D: Ten-year cumulative outpatient care costs. Costs are reported in 2012 U.S. dollars and discounted at 3% per year.

Per-participant average 10-year cumulative discounted costs. A: Ten-year cumulative total costs. B: Ten-year cumulative medication costs. C: Ten-year cumulative hospitalization costs. D: Ten-year cumulative outpatient care costs. Costs are reported in 2012 U.S. dollars and discounted at 3% per year. From tests of interactions, the relative effects of ILI on average annual total costs were similar across subgroups based on age, baseline BMI, sex, and race/ethnicity (Table 3). Intervention effects varied according to the participant’s history of cardiovascular disease at baseline for outpatient (interaction P < 0.0001), medication (P = 0.02), and total costs (P = 0.02) but not for hospitalization costs (P = 0.71). For participants without a history of cardiovascular disease at baseline, ILI was associated with lower per-participant average annual costs of $133 (95% CI $13–$252) for outpatient care, $343 ($216–$470) for medications, and $801 ($417–$1,185) for total costs. For those with a history of cardiovascular disease, ILI was associated with greater per-participant average annual outpatient costs of $592 ($286–$889).
Table 3

Mean annual costs (in 2012 dollars) over follow-up by intervention assignment for subgroups of participants based on baseline characteristics

SubgroupDSEILIDifference (95% CI)DSE vs. ILI P valueInteraction P value
Age
 45–54 years
  Hospitalization1,674 (190)1,876 (184)−203 (−721 to 316)0.440.14
  Outpatient1,902 (80)1,928 (78)−26 (−246 to 193)0.810.85
  Medication3,439 (87)3,372 (84)67 (−170 to 305)0.580.13
  Total7,014 (263)7,176 (255)−162 (−879 to 556)0.660.09
 55–64 years
  Hospitalization2,713 (129)2,355 (128)358 (2 to 713)0.05
  Outpatient2,313 (54)2,272 (54)41 (−109 to 191)0.59
  Medication3,892 (59)3,560 (58)332 (170 to 495)<0.0001
  Total8,918 (178)8,187 (177)731 (239 to 1,223)0.004
 65–76 years
  Hospitalization4,321 (208)3,828 (218)493 (−97 to 1,084)0.10
  Outpatient2,954 (88)2,973 (92)−19 (−269 to 230)0.88
  Medication3,911 (95)3,521 (100)390 (120 to 660)0.005
  Total11,186 (288)10,322 (302)864 (47 to 1,681)0.04
BMI
 25–29.9 kg/m2
  Hospitalization2,125 (254)2,250 (240)−125 (−810 to 561)0.720.36
  Outpatient2,085 (103)2,219 (97)−134 (−424 to 156)0.360.43
  Medication3,476 (115)3,084 (109)392 (82 to 702)0.010.72
  Total7,686 (352)7,552 (333)133 (−818 to 1,084)0.780.58
 30.0–39.9 kg/m2
  Hospitalization2,864 (121)2,453 (122)411 (74 to 748)0.02
  Outpatient2,333 (51)2,296 (51)38 (−105 to 180)0.60
  Medication3,823 (55)3,574 (55)249 (97 to 401)0.001
  Total9,021 (168)8,322 (169)698 (231 to 1,165)0.003
 >40.0 kg/m2
  Hospitalization3,001 (202)2,829 (201)172 (−387 to 731)0.55
  Outpatient2,537 (89)2,425 (88)112 (−134 to 358)0.37
  Medication3,867 (91)3,603 (91)264 (11 to 516)0.04
  Total9,405 (281)8,857 (279)548 (−228 to 1,323)0.17
Sex
 Female
  Hospitalization2,311 (123)2,221 (123)90 (−252 to 432)0.600.08
  Outpatient2,293 (52)2,256 (52)37 (−108 to 182)0.620.90
  Medication3,651 (56)3,385 (56)266 (111 to 421)0.0010.76
  Total8,255 (171)7,862 (171)393 (−82 to 867)0.100.18
 Male
  Hospitalization3,510 (151)2,931 (151)579 (160 to 998)0.007
  Outpatient2,420 (64)2,398 (64)23 (−155 to 201)0.80
  Medication3,984 (69)3,679 (68)305 (115 to 495)0.002
  Total9,914 (210)9,008 (209)906 (325 to 1,487)0.002
History of cardiovascular disease
 No
  Hospitalization2,407 (101)2,082 (101)325 (46 to 604)0.020.71
  Outpatient2,295 (43)2,162 (43)133 (13 to 252)0.03<0.0001
  Medication3,667 (46)3,324 (46)343 (216 to 470)<0.00010.02
  Total8,369 (139)7,568 (139)801 (417 to 1,185)<0.00010.02
 Yes
  Hospitalization5,373 (261)5,191 (253)181 (−533 to 895)0.62
  Outpatient2,674 (112)3,266 (109)−592 (−889 to −286)0.0002
  Medication4,569 (119)4,635 (116)−67 (−392 to 259)0.69
  Total12,615 (360)13,093 (349)−478 (−1,461 to 505)0.34
Race/ethnicity
 African American
  Hospitalization2,118 (242)2,590 (241)−473 (−1,142 to 197)0.170.08
  Outpatient2,090 (101)2,278 (101)−189 (−469 to 91)0.190.32
  Medication3,437 (107)3,129 (107)308 (11 to 605)0.040.95
  Total7,644 (332)7,998 (331)−353 (−1,271 to 565)0.450.13
 American Indian
  Hospitalization2,188 (431)1,956 (424)232 (−953 to 1,417)0.70
  Outpatient1,479 (180)1,607 (177)−128 (−624 to 367)0.61
  Medication2,649 (191)2,503 (188)146 (−380 to 672)0.59
  Total6,316 (591)6,066 (581)250 (−1,375 to 1,874)0.76
 Hispanic/Latino
  Hospitalization2,276 (269)1,468 (267)808 (65 to 1,551)0.03
  Outpatient1,742 (113)1,545 (112)197 (−114 to 508)0.21
  Medication3,031 (119)2,654 (118)377 (47 to 707)0.02
  Total7,048 (369)5,666 (366)1,382 (363 to 2,401)0.008
 Non-Hispanic white
  Hospitalization3,072 (120)2,752 (120)320 (−13 to 652)0.06
  Outpatient2,583 (50)2,511 (50)72 (−67 to 211)0.31
  Medication4,104 (53)3,845 (53)260 (112 to 407)0.001
  Total9,760 (164)9,108 (164)652 (196 to 1,107)0.005
 Other/multiple races
  Hospitalization3,472 (569)2,225 (539)1,248 (−288 to 2,784)0.11
  Outpatient2,549 (238)2,749 (225)−200 (−843 to 443)0.54
  Medication3,805 (252)3,551 (239)255 (−427 to 936)0.46
  Total9,827 (780)8,525 (738)1,303 (−803 to 3,408)0.22

Data are mean (SE) unless otherwise indicated. Included are results from ANCOVAs to assess the consistency of differences between intervention groups across subgroups. Negative differences occurred when costs among ILI participants exceeded those for DSE participants; positive differences occurred when costs among ILI participants were less than those for DSE participants. The DSE vs. ILI P values are for the mean difference between intervention groups within each strata. Interaction P values indicate whether the DSE vs. ILI differences were similar among subgroups.

†Weighted ANCOVA.

Mean annual costs (in 2012 dollars) over follow-up by intervention assignment for subgroups of participants based on baseline characteristics Data are mean (SE) unless otherwise indicated. Included are results from ANCOVAs to assess the consistency of differences between intervention groups across subgroups. Negative differences occurred when costs among ILI participants exceeded those for DSE participants; positive differences occurred when costs among ILI participants were less than those for DSE participants. The DSE vs. ILI P values are for the mean difference between intervention groups within each strata. Interaction P values indicate whether the DSE vs. ILI differences were similar among subgroups. †Weighted ANCOVA.

Conclusions

The Look AHEAD intervention produced sustained differences between intervention groups in mean weight loss (7.9 and 2.5 percentage points at 1 and 10 years in ILI and DSE, respectively) (16) and in physical fitness (22,23). Although not significantly reducing overall risk of major cardiovascular disease events (16), the intervention improved many measures of health, including markers of diabetes control, blood pressure, plasma lipid levels, sleep quality, physical function, and depression (24–27). Although these effects varied in magnitude and duration, and some were not sustained throughout follow-up, each could be associated with reduced health-care needs. The medical management of the participants was left to their own health-care providers, who were provided with clinically relevant information, such as annual lipid and blood pressure measurements. Ten years of ILI broadly reduced the use of health-care services, including hospitalizations, selected outpatient services, and medications, and the total overall costs of health care, with significant savings for hospitalization and medication costs across many disease indications. The 11% overall relative decrease in 10-year hospitalization costs is less than the 17% relative reduction in 10-year inpatient care costs reported by the Diabetes Prevention Program among individuals initially free of diabetes (13). However, because the Look AHEAD cohort had more comorbidities and overall hospitalizations, the absolute savings associated with its intervention were greater ($2,567 vs. $1,309 [converted to 2012 dollars] for the Look AHEAD ILI vs. Diabetes Prevention Program behavioral intervention, respectively). The significant reduction in hospitalizations for cardiovascular disease differs from the nonsignificant finding for the primary end point of Look AHEAD: a composite of the first occurrence of cardiovascular disease death, nonfatal myocardial infarction, nonfatal stroke, or hospitalization for angina (16). Unlike the primary end point, the cardiovascular hospitalization category presented in this article is more broadly defined and not limited to the first occurrence of events. The rate of outpatient visits did not differ between intervention groups, supporting the decision of the study investigators not to provide ongoing medical management to participants but to leave this to their personal health-care providers. Thus, the reduction in other use and costs was not due to medical management by study investigators of ILI participants. A clinical trial by Tsai et al. (14) found that behavioral weight loss intervention in an obese population can reduce medication costs, which agrees with self-controlled pre- and postobservational cohort studies of weight loss programs (28,29) and trials that have been analyzed as pre- and postobservational cohort studies (8,30). The Diabetes Prevention Program reported a 6% relative reduction in 10-year medication costs among participants assigned to its lifestyle intervention (13), resulting in a relative savings of $501 (converted to 2012 dollars). The 7% relative reduction produced by the Look AHEAD intervention yielded a savings of $2,474 (in 2012 dollars) because of the overall greater use of medications in its cohort. The finding of a greater use of psychiatric/neurologic medications over time among ILI compared with DSE participants follows a chance imbalance for greater antidepressant use at baseline among participants randomly assigned to ILI (17.4%) compared with DSE (15.1%; P = 0.02). Covariate adjustment for baseline antidepressant use eliminated differences between intervention groups in the use of these medications during follow-up (P = 0.63). The savings in total medical care costs associated with ILI accrued gradually over time, resulting in a 10-year difference of $5,280. Similar patterns were seen for the accumulation of both hospital and medications costs, with 10-year differences of $2,567 and $2,474, respectively. There were only small overall differences during the first 4 years of follow-up when the interventions were most intense, although diabetes, hypertension, and hyperlipidemia medication costs were significantly lower among ILI participants even during the first year after randomization (31). Health-care costs associated with obesity and diabetes accelerate in later life (32,33), and as expected, the rate at which costs accumulated in the Look AHEAD cohort increased with time. Future follow-up of the Look AHEAD cohort will assess whether the intervention has a legacy effect during the oldest years of life when health-care costs are highest (i.e., whether the differences in accumulated costs between the ILI and DSE cohorts continue to diverge). Based on interaction tests, the savings on overall medical costs associated with ILI did not depend on participant age, BMI, sex, or race/ethnicity. In contrast, intervention effects on outpatient, medication, and total costs differed significantly according to baseline history of cardiovascular disease. For participants with no cardiovascular disease history, assignment to ILI significantly reduced the costs of outpatient care and medication; for those with a history, assignment to ILI significantly increased outpatient costs and had no effect on medication costs. The ILI effect on hospital costs did not differ between those who had or did not have a history of cardiovascular disease. History of cardiovascular disease at baseline was prespecified as a subgroup for comparing intervention effects on the primary outcome. The hazard ratio for the intervention effect among participants with no history of cardiovascular disease for the primary outcome was 0.86 (95% CI 0.72–1.02) compared with 1.12 (0.90–1.42) for those with a history of cardiovascular disease. Although this trend did not reach nominal statistical significance (P = 0.06) (16), it resembles the difference we report for outpatient costs. Increased outpatient costs among ILI participants with prior cardiovascular disease were not triggered by an imbalance in cardiovascular disease events. Annual outpatient costs were 22% (P = 0.006) higher among ILI than among DSE participants before these events (including those individuals with no on-trial cardiovascular outcomes), which is similar to the overall difference in costs (Table 2). Why the intervention may affect costs differently among participants with and without a cardiovascular disease history is not clear; however, these results imply that the ILI is most beneficial to overweight and obese individuals with diabetes before cardiovascular disease is diagnosed. The study had several limitations. The Look AHEAD cohort, although geographically and demographically diverse, comprised volunteers to a randomized clinical trial who were required to have a source of usual medical care; thus, the degree to which the findings may generalize to other populations is unclear. We relied on self-report to identify outpatient care and the occurrence of hospitalizations. We did not assess health-care costs related to death. As noted, there were slightly fewer deaths among the ILI than among the DSE participants, and the exclusion of these costs may have led to an underestimation of ILI benefits. Follow-up was not complete for all participants, and the results of the service use, cost, and subgroup analyses may be biased if follow-up lengths were different. However, we used a pattern-mixture approach (34) to assess the sensitivity of the findings, examining the consistency of results across strata based on length of follow-up, which confirmed the findings (data not shown). We did not report intervention costs or draw conclusions from a cost-benefit analysis; these are reserved for future study. In conclusion, random assignment of overweight and obese individuals with type 2 diabetes to 10 years of an intensive behavioral intervention that focused on weight loss and increased physical activity resulted in relatively fewer hospitalizations, fewer days in the hospital, and less use of prescription medications. Cumulatively, these effects resulted in an average annual savings of almost $600 per participant relative to a comparison condition DSE.
  29 in total

1.  Future direct and indirect costs of obesity and the influence of gaining weight: results from the MONICA/KORA cohort studies, 1995-2005.

Authors:  S B Wolfenstetter
Journal:  Econ Hum Biol       Date:  2011-09-03       Impact factor: 2.184

2.  Prevalence of obesity in the United States, 2009-2010.

Authors:  Cynthia L Ogden; Margaret D Carroll; Brian K Kit; Katherine M Flegal
Journal:  NCHS Data Brief       Date:  2012-01

3.  Cardiovascular effects of intensive lifestyle intervention in type 2 diabetes.

Authors:  Rena R Wing; Paula Bolin; Frederick L Brancati; George A Bray; Jeanne M Clark; Mace Coday; Richard S Crow; Jeffrey M Curtis; Caitlin M Egan; Mark A Espeland; Mary Evans; John P Foreyt; Siran Ghazarian; Edward W Gregg; Barbara Harrison; Helen P Hazuda; James O Hill; Edward S Horton; Van S Hubbard; John M Jakicic; Robert W Jeffery; Karen C Johnson; Steven E Kahn; Abbas E Kitabchi; William C Knowler; Cora E Lewis; Barbara J Maschak-Carey; Maria G Montez; Anne Murillo; David M Nathan; Jennifer Patricio; Anne Peters; Xavier Pi-Sunyer; Henry Pownall; David Reboussin; Judith G Regensteiner; Amy D Rickman; Donna H Ryan; Monika Safford; Thomas A Wadden; Lynne E Wagenknecht; Delia S West; David F Williamson; Susan Z Yanovski
Journal:  N Engl J Med       Date:  2013-06-24       Impact factor: 91.245

4.  Lifestyle change and mobility in obese adults with type 2 diabetes.

Authors:  W Jack Rejeski; Edward H Ip; Alain G Bertoni; George A Bray; Gina Evans; Edward W Gregg; Qiang Zhang
Journal:  N Engl J Med       Date:  2012-03-29       Impact factor: 91.245

5.  Economic impact of moderate weight loss in patients with Type 2 diabetes: the Fremantle Diabetes Study.

Authors:  W A Davis; D G Bruce; T M E Davis
Journal:  Diabet Med       Date:  2011-09       Impact factor: 4.359

Review 6.  Direct medical cost of overweight and obesity in the USA: a quantitative systematic review.

Authors:  A G Tsai; D F Williamson; H A Glick
Journal:  Obes Rev       Date:  2011-01       Impact factor: 9.213

7.  Association of an intensive lifestyle intervention with remission of type 2 diabetes.

Authors:  Edward W Gregg; Haiying Chen; Lynne E Wagenknecht; Jeanne M Clark; Linda M Delahanty; John Bantle; Henry J Pownall; Karen C Johnson; Monika M Safford; Abbas E Kitabchi; F Xavier Pi-Sunyer; Rena R Wing; Alain G Bertoni
Journal:  JAMA       Date:  2012-12-19       Impact factor: 56.272

8.  Cost-effectiveness of a primary care intervention to treat obesity.

Authors:  A G Tsai; T A Wadden; S Volger; D B Sarwer; M Vetter; S Kumanyika; R I Berkowitz; L K Diewald; J Perez; J Lavenberg; E R Panigrahi; H A Glick
Journal:  Int J Obes (Lond)       Date:  2013-08       Impact factor: 5.095

9.  The development and description of the comparison group in the Look AHEAD trial.

Authors:  Jacqueline Ann Wesche-Thobaben
Journal:  Clin Trials       Date:  2011-06       Impact factor: 2.486

10.  Four-year analysis of cardiovascular disease risk factors, depression symptoms, and antidepressant medicine use in the Look AHEAD (Action for Health in Diabetes) clinical trial of weight loss in diabetes.

Authors:  Richard R Rubin; Mark Peyrot; Sarah A Gaussoin; Mark A Espeland; Don Williamson; Lucy F Faulconbridge; Thomas A Wadden; Linda Ewing; Monika Safford; Gina Evans-Hudnall; Rena R Wing; William C Knowler
Journal:  Diabetes Care       Date:  2013-01-28       Impact factor: 19.112

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  67 in total

1.  The Look AHEAD Trial: A Review and Discussion Of Its Outcomes.

Authors:  Xavier Pi-Sunyer
Journal:  Curr Nutr Rep       Date:  2014-12

2.  Impact of an 8-Year Intensive Lifestyle Intervention on an Index of Multimorbidity.

Authors:  Mark A Espeland; Sarah A Gaussoin; Judy Bahnson; Elizabeth M Vaughan; William C Knowler; Felicia R Simpson; Helen P Hazuda; Karen C Johnson; Medha N Munshi; Mace Coday; Xavier Pi-Sunyer
Journal:  J Am Geriatr Soc       Date:  2020-07-17       Impact factor: 5.562

3.  Systolic Blood Pressure Control Among Individuals With Type 2 Diabetes: A Comparative Effectiveness Analysis of Three Interventions.

Authors:  Mark A Espeland; Jeffery Probstfield; Donald Hire; J Bruce Redmon; Gregory W Evans; Mace Coday; Cora E Lewis; Karen C Johnson; Sharon Wilmoth; Judy Bahnson; Michael F Dulin; Jennifer B Green; William C Knowler; Abbas Kitabchi; Anne L Murillo; Kwame Osei; Shakaib U Rehman; William C Cushman
Journal:  Am J Hypertens       Date:  2015-02-09       Impact factor: 2.689

4.  Implications of Look AHEAD for clinical trials and clinical practice.

Authors:  R R Wing
Journal:  Diabetes Obes Metab       Date:  2014-06-22       Impact factor: 6.577

Review 5.  The Look AHEAD Trial: Implications for Lifestyle Intervention in Type 2 Diabetes Mellitus.

Authors:  Gareth R Dutton; Cora E Lewis
Journal:  Prog Cardiovasc Dis       Date:  2015-04-30       Impact factor: 8.194

6.  Long-term Impact of Weight Loss Intervention on Changes in Cognitive Function: Exploratory Analyses from the Action for Health in Diabetes Randomized Controlled Clinical Trial.

Authors:  Mark A Espeland; Owen Carmichael; Kathleen Hayden; Rebecca H Neiberg; Anne B Newman; Jeffery N Keller; Thomas A Wadden; Stephen R Rapp; James O Hill; Edward S Horton; Karen C Johnson; Lynne Wagenknecht; Rena R Wing
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2018-03-14       Impact factor: 6.053

Review 7.  Exercise and type 2 diabetes: molecular mechanisms regulating glucose uptake in skeletal muscle.

Authors:  Kristin I Stanford; Laurie J Goodyear
Journal:  Adv Physiol Educ       Date:  2014-12       Impact factor: 2.288

8.  Impact of Intensive Lifestyle Intervention on Disability-Free Life Expectancy: The Look AHEAD Study.

Authors:  Edward W Gregg; Ji Lin; Barbara Bardenheier; Haiying Chen; W Jack Rejeski; Xiaohui Zhuo; Andrea L Hergenroeder; Stephen B Kritchevsky; Anne L Peters; Lynne E Wagenknecht; Edward H Ip; Mark A Espeland
Journal:  Diabetes Care       Date:  2018-03-15       Impact factor: 19.112

9.  The Lifestyle Intervention for the Treatment of Diabetes study (LIFT Diabetes): Design and baseline characteristics for a randomized translational trial to improve control of cardiovascular disease risk factors.

Authors:  Jeffrey A Katula; Julienne K Kirk; Carolyn F Pedley; Margaret R Savoca; Valery S Effoe; Ronny A Bell; Alain G Bertoni
Journal:  Contemp Clin Trials       Date:  2016-12-07       Impact factor: 2.226

10.  Design and participant characteristics for a randomized effectiveness trial of an intensive lifestyle intervention to reduce cardiovascular risk in adults with type 2 diabetes: The I-D-HEALTH study.

Authors:  David T Liss; Emily A Finch; Dyanna L Gregory; Andrew Cooper; Ronald T Ackermann
Journal:  Contemp Clin Trials       Date:  2015-12-02       Impact factor: 2.226

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