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American Journal of Hypertension logoLink to American Journal of Hypertension
. 2015 Dec 26;29(8):959–968. doi: 10.1093/ajh/hpv196

A Randomized Trial of a Low-Fat Diet Intervention on Blood Pressure and Hypertension: Tertiary Analysis of the WHI Dietary Modification Trial

Matthew A Allison 1,, Aaron K Aragaki 2, Roberta M Ray 2, Karen L Margolis 3, Shirley AA Beresford 4, Lewis Kuller 5, Mary Jo O’Sullivan 6, Sylvia Wassertheil-Smoller 7, Linda Van Horn 8
PMCID: PMC4941590  PMID: 26708006

Abstract

BACKGROUND

This post hoc analysis determined if the Women’s Health Initiative (WHI) Diet Modification intervention (DM-I) resulted in a significantly different rate of incident hypertension (HTN), as well as longitudinal changes in blood pressure.

METHODS

Participants were 48,835 postmenopausal women aged 50–79 years who were randomly assigned to either the intervention or comparison group. HTN was defined as self-report of treated HTN collected semiannually or blood pressure ≥140/90mm Hg at one of the annual follow-up clinic visits.

RESULTS

After a mean follow-up of 8.3 years, and among those who did not have HTN at baseline (n = 31,146), there were 16,174 (51.9%) HTN cases and those assigned to the intervention group had a 4% lower overall risk of developing incident HTN (hazard ratio (HR): 0.96, 95% confidence interval (CI): 0.93–0.99). Although the risk of HTN was lower in the DM-I group in the first few years, the HR became greater than 1 after year 5 (P-trend < 0.01). Similarly, randomization to the DM-I arm resulted in a small but significantly lower average systolic blood pressure (SBP) at 1 year of follow-up (−0.66mm Hg, 0.44–0.89) that increased over the following 8 years (0.16mm Hg/year, 0.11–0.21), such that any early benefit was eliminated by year 5 and a minimal deleterious effect emerged by year 7.

CONCLUSION

Randomization to an intensive behavioral dietary modification program aimed at a lower total fat intake is not associated with sustained reductions in blood pressure or risk of HTN in postmenopausal women.

CLINICAL TRIAL REGISTRATION

url http://www.clinicaltrials.gov, unique identifier nct00000611

Keywords: blood pressure, diet, hypertension, trial, women.


The Women’s Health Initiative (WHI) Dietary Modification Trial (DMT) tested the effect of an intensive behavioral dietary intervention on the risk for incident breast and colon cancer and, secondarily, incident cardiovascular disease (CVD).1 The trial intervention aimed at a reduction in total fat intake, as well as increases in vegetable, fruit, and grain consumption. Compared to those in the comparison group, women randomized to the Diet Modification intervention (DM-I) arm reported significantly lower daily intakes of total calories, cholesterol, total and saturated fat, as well as mono- and polyunsaturated fats, while also reporting significantly higher intakes of total carbohydrate to include dietary fiber.2 Despite these changes, the DM-I participants did not demonstrate clinically meaningful improvements in blood lipid levels or a difference in the risk for incident coronary heart disease (hazard ratio (HR), 0.97; 95% confidence interval (CI), 0.90–1.06), stroke (1.02; 0.90–1.15), incident carotid disease to include revascularization (1.08, 0.90–1.40) or total CVD (0.98; 0.92–1.05).2–4

Since hypertension (HTN) is a strong and consistent risk factor for CVD, especially carotid artery disease and stroke,5 determining the post hoc effect of the DM-I on blood pressure and incident HTN might provide partial explanation of the null findings in the DMT. In this regard, both the Premier trial and Trials of Hypertension Prevention demonstrated that comprehensive lifestyle changes, including those that utilize a behavioral dietary intervention, can control rates of incident HTN, while also significantly reducing blood pressure.6,7 Therefore, we hypothesized that randomization to the DM intervention arm would result in modest reductions in systolic blood pressure (SBP) and incident HTN rates over the trial period.

METHODS

Study population

In brief, 48,835 postmenopausal women aged 50–79 years were recruited from 40 sites within the United States from 1993 to 1998.1,2 During enrollment 40% (n = 19,541) were randomly assigned to a low-fat (20% total kcal) DM-I group, while the remaining 60% (n = 29,294) were allocated to the usual diet comparison group (Figure 1).8 Exclusion criteria for the DMT included type I diabetes mellitus, a history of cancer (except for nonmelanoma skin cancer), medical conditions predictive of a survival time of less than 3 years or a high risk of lack of retention or intervention nonadherence such as those who had special dietary requirements that were incompatible with the intervention program, consuming less than 600 kcal/d or greater than 5,000 kcal/day, consuming less than 32% of total energy from fat or greater than or equal to 10 meals/week prepared outside of the home.9

Figure 1.

Figure 1.

Participant flow in the Dietary Modification Trial.

At baseline, women could also be randomized to the postmenopausal hormone therapy trial (“HT”; conjugated equine estrogen alone or conjugated equine estrogen + medroxyprogesterone acetate). Details about eligibility and treatments for the HT have been published previously.10

The WHI was conducted in accordance with the Declaration of Helsinki and all participants provided written informed consent approved by the Institutional Review Boards at all participating institutions.

Intervention

The primary goal of DM-I was to reduce risk of breast cancer by limiting total fat intake to 20% of total energy. Additional goals included increased vegetable and fruit intakes to greater than or equal to 5 servings per day and increased grain intake to greater than or equal to 6 servings per day.1

Women in the DM-I group participated in an intensive behavioral modification program consisting of 18 group sessions in the first year and quarterly maintenance sessions until the trial ended in 2005.9 Women randomly assigned to the comparison group were given a copy of Nutrition and Your Health: Dietary Guidelines for Americans and asked to maintain their usual diet.11 Dietary intake data for all participants was assessed using the WHI food frequency questionnaire, which was administered at baseline, year 1 and thereafter on a rotating sample of one-third of participants every 3 years. After the intervention period ended in 2005, extended follow-up of 83.1% of surviving participants who provided written consent continued through 30 September 2010 (Figure 1).

Data collection

Personal characteristics, anthropometrics, and self-reported medical history were collected at baseline.9 History of diabetes mellitus was defined as the self-reported current or past use of antidiabetic pills or injectable insulin. History of treated HTN was defined as self-report of a physician diagnosis of HTN or current use of an anti-HTN medication. Smoking status was coded as former, current, or never. Self-reported physical activity levels were calculated by using a standardized classification system.12 Anthropometric data included measured height and weight and repeat weight measures at annual clinic visits during the trial intervention.

Outcome ascertainment. 

All trial participants were evaluated annually at a clinic visit that included completion of selected survey questionnaires and physical measurements. At these visits, and after a 5-minute rest, blood pressures were measured twice in the right arm by certified staff with the participant in the seated position using a conventional mercury sphygmomanometer and appropriately sized cuffs. SBP was defined as the pressure level at which the first of 5 regular Korotkoff sounds were heard while diastolic blood pressure (DBP) was the pressure level of the last of these sounds. The average of the measurements was used in the analysis. Pulse pressure was computed as the difference between SBP and DBP.

Incident HTN was defined as self-report of treated HTN collected semiannually or blood pressure ≥ 140/90mm Hg at one of the annual follow-up clinic visits. Of note, our definition was intended to identify women considered to be hypertensive under the JNC7 classification of SBP ≧ 140 or DBP ≧ 90, where drug therapy should be initiated. Those with a history of treated HTN at baseline, as well as self-report or of use of antihypertensive medication, were not eligible to be classified with incident disease.

To investigate the effect of the DM-I on incident HTN during extended follow-up, a secondary analysis of incident HTN, based solely on self-report from randomization through extended follow-up, was performed. Blood pressure was not measured during this period.

Statistical methods. 

For the longitudinal analysis of SBP, DBP, and pulse pressure, a linear mixed effects regression model was used to estimate the effect of DM-I at the first annual visit and estimate annual change in the effect DM-I through the remainder of follow-up. Statistical significance for the effect of DM-I on the mean trajectories of these blood pressure endpoints was based on a 2-degree-of-freedom test of these 2 parameters (Table 2). P-values for the 1-degree-of-freedom tests of these parameters are mentioned in the text to qualify the statistical significance of the trajectory.

Table 2.

Subgroup analysis for the effect of dietary modification on systolic, diastolic, and pulse pressures

Subgroup (baseline) Intervention (N) Comparison (N) SBP DBP PP
Meana Slopeb P Meana Slopeb P Meana Slopeb P
Age (years) 0.29 0.13 0.24
50–54 2,673 3,982 −0.54 0.12 −0.59 0.13 0.04 0.00
55–59 4,255 6,319 −0.69 0.12 −0.54 0.07 −0.18 0.05
60–69 8,778 13,044 −0.61 0.16 −0.53 0.1 −0.10 0.06
70–79 3,119 4,660 −0.94 0.26 −1.13 0.19 0.20 0.07
Race/ethnicity 0.29 0.34 0.84
White 15,357 22,947 −0.78 0.18 −0.70 0.12 −0.1 0.06
Black 2,023 2,910 −0.25 0.05 −0.40 0.05 0.17 0.00
Hispanic 688 1,011 0.08 0.07 −0.28 0.07 0.32 0.01
American Indian 79 108 −2.07 −0.17 −2.31 0.06 0.24 −0.22
Asian 423 657 0.26 0.15 −0.41 0.12 0.63 0.05
Body mass index 0.10 0 .01 0.8
<25 4,906 7,369 −0.69 0.12 −0.72 0.09 0.00 0.03
25 to < 30 6,708 10,059 −1.00 0.19 −0.76 0.11 −0.25 0.08
≥ 30 7,133 10,454 −0.40 0.17 −0.50 0.14 0.11 0.03
CEE alone Trial 0.01 0.2 0.02
Active 591 989 −2.74 0.6 −1.32 0.25 −1.40 0.34
Placebo 641 1,010 −0.45 0.09 −0.45 0.13 0.08 −0.06
Not randomized 6,871 10,154 −0.55 0.15 −0.53 0.09 −0.03 0.07
CEE+MPA Trial 0.85 0.46 0.96
Active 943 1,404 −0.71 0.23 −0.61 0.16 −0.06 0.07
Placebo 903 1,242 −1.04 0.32 −1.11 0.24 0.07 0.07
Not randomized 8,875 13,204 −0.55 0.12 −0.64 0.11 0.06 0.02
CaD Trial 0.14 0.33 0.31
Active 4,876 7,736 0.06 0.17 0.33 0.08 −0.25 0.10
Placebo 4,764 7,827 −1.05 0.06 −0.31 0.04 −0.73 0.02
Not randomized 9,185 12,442 −0.72 0.17 −0.71 0.14 −0.02 0.03
% Energy from fat (tertiles) 0.07 0.06 0.45
< 34.8% 6,235 9,256 −0.41 0.06 −0.51 0.08 0.09 −0.01
34.8 to <39.4% 6,342 9,520 −0.94 0.21 −0.81 0.11 −0.16 0.10
≥ 39.4% 6,139 9,116 −0.60 0.20 −0.59 0.16 −0.01 0.05
Smoking status 0.20 0.60 0.38
Never 9,620 14,474 −0.83 0.15 −0.73 0.12 −0.12 0.03
Past 7,789 11,417 −0.54 0.18 −0.54 0.11 −0.01 0.07
Current 1,200 1,839 −0.12 0.12 −0.57 0.11 0.43 0.00
Treated diabetes 0.97 0.58 0.78
No 18,006 26,772 −0.66 0.16 −0.62 0.11 −0.05 0.05
Yes 817 1,231 −0.72 0.19 −0.94 0.13 0.21 0.05
Hypertensionc 0.03 0.17 0.12
No 9,214 13,574 −0.95 0.18 −0.71 0.11 −0.24 0.07
Yes 8,047 12,098 −0.38 0.14 −0.53 0.12 0.15 0.03
History of statin use 0.66 0.61 0.65
No 17,671 26,294 −0.64 0.15 −0.63 0.11 −0.02 0.05
Yes 1,153 1,711 −1.04 0.24 −0.68 0.17 −0.38 0.08
History of CHD 0.99 0.55 0.78
No 18,146 26,985 −0.66 0.16 −0.62 0.11 −0.05 0.05
Yes 443 666 −0.72 0.16 −0.82 0.05 0.21 0.08
History of stroke 0.35 0.21 0.47
No 18,639 27,697 −0.65 0.16 −0.64 0.11 −0.02 0.05
Yes 186 308 −1.90 0.53 −0.69 0.35 −1.16 0.18

Abbreviations: CaD, Calcium and Vitamin D Trial; CHD, coronary heart disease.

aDifference (DM-I minus DM-C) in mean blood pressure (mm Hg) at year 1. bDifference (DM-I minus DM-C) in slope of change in mean blood pressure (in mm Hg/year) after year 1. Aforementioned estimates were from a linear mixed effects model that included a random intercept, random slope, and the corresponding baseline BP measure as a covariate. cSelf-report or SBP > 140mm Hg or DBP > 90mm Hg

The analyses of incident HTN excluded participants with a prior history of HTN and used time-to-event methods. Follow-up time was censored at the time of a woman’s last documented follow-up contact or death. HRs were estimated using Cox proportional hazards models stratified by age group and HT randomization group. To address treatment for HTN, a sensitivity analysis was conducted that excluded women who self-reported HTN at baseline or were taking antihypertensive medication, and sensible constants of 0, 10, or 20mm Hg were added to SBP measurements that occurred on or after any of the remaining participants reported treatment for incident HTN. These results did not markedly differ from the primary analysis.

Statistical significance of 13 prespecified subgroups was based on tests of interaction between randomization group and subgroup. For each endpoint, at most 1 interaction was expected to be significant by chance alone. For the analysis of incident HTN, tests provided evidence against the assumption of proportional hazards, so risk depends on time and was further qualified by linear time-varying HRs with functional form exp(a ± b × t), where a and b are estimated from a Cox regression model and t is time since randomization. All primary analyses were intention-to-treat with 2-sided P-values of ≤0·05 being statistically significant.

RESULTS

The baseline characteristics of the participants by DMT arm assignment are presented in Table 1. At baseline, there were no statistically significant differences between women randomized to the intervention and comparison groups for all characteristics except mean SBP, which was quite small (0.4mm Hg).

Table 1.

Baseline characteristics of the women’s Health Initiative Dietary Modification Trial participants

Characteristic Intervention arm (N = 19,541) Comparison arm (N = 29,294) P-valuea
Mean or N SD or % Mean or N SD or %
Age (years) 62.3 6.9 62.3 6.9 0.99
Race/ethnicity 0.74
 White 15,871 81.2 23,891 81.6
 Black 2,135 10.9 3,127 10.7
 Hispanic 751 3.8 1,094 3.7
 American Indian 88 0.5 114 0.4
 Asian/Pacific Islander 431 2.2 674 2.3
 Unknown 265 1.4 394 1.3
Body mass index (kg/m2) 29.1 5.9 29.1 5.9 0.53
Systolic blood pressure (mm Hg) 127.5 17.2 127.9 17.2 0.02
Diastolic blood pressure (mm Hg) 75.9 9.1 76.0 9.1 0.07
Hypertensive (self-report or high BP) 8,382 46.7 12,734 47.4 0.17
Antihypertensive medication use 6,036 30.9 9,230 31.5 0.15
Cholesterol medication use 2,034 11.8 3,138 12.1 0.29
Treated diabetes 866 4.4 1,337 4.6 0.49
Never smoker 9,918 51.4 15,029 51.9 0.23
Pack years of smoking 9.6 17.9 9.6 18.0 0.69
Percent calories from total fat 37.8 5.1 37.8 5.0 0.91
Physical activity energy (MET-hours/week) 10.0 11.7 10.1 12.0 0.44
Education after high school 15,158 78.0 22,641 77.8 0.65
Annual income <35K 7,275 39.5 11,117 40.3 0.36
History of bilateral oophorectomy 3,884 20.3 5,997 20.9 0.12
History of coronary heart disease 482 2.5 709 2.5 0.75
Family history of myocardial infarction 9,722 52.5 14,341 51.8 0.12
Hormone therapy trial arm
 CEE alone 615 3.1 1,039 3.5 0.41b
 CEE alone placebo 670 3.4 1,068 3.6
 CEE + MPA 972 5.0 1,457 5.0 0.30c
 CEE + MPA placebo 925 4.7 1,304 4.5
 Not randomized 16,359 83.7 24,426 83.4
Calcium-Vitamin D Trial arm
 Active 4,767 24.4 7,827 26.7 0.18d
 Placebo 4,878 25.0 7,738 26.4
 Not randomized 9,896 50.6 13,729 46.9

Abbreviations: N, sample size; MET, metabolic equivalent of task; CEE, conjugated equine estrogens; MPA, medroxyprogesterone acetate.

aBased on chi-square test of association for categorical variables and t-test for continuous variables. b P-value corresponds to test of association between DM trial group and CEE alone trial group. c P-value corresponds to test of association between DM trial group and CEE + MPA trial group. d P-value corresponds to test of association between DM trial group and CaD trial group.

Figure 2 shows the main effect for randomization to the DM-I group on SBP, DBP, and pulse pressure during the WHI intervention period; the linear mixed effects model fit the data well. Contrasted to the comparison group, randomization to the DM-I arm resulted in a small but significantly lower average SBP at 1 year of follow-up (−0.66mm Hg, 0.44–0.89). After the first year, there was a significant trend for increasing SBP over the following 8 years (0.16mm Hg/year, 0.11–0.21), such that any early benefit was eliminated by year 5 and a minimal deleterious effect emerged by year 7. Similarly, those in the DM-I arm had, on average, a 0.64mm Hg lower DBP (0.51–0.76) than those in the comparison group at year 1, but the DBP difference between groups diminished significantly by an average rate of 0.11mm Hg/year (0.08–0.14) after that point.

Figure 2.

Figure 2.

Mean longitudinal effect of randomization to the DM-I arm compared to DM-C on systolic blood pressure, diastolic blood pressure, and pulse pressure. Estimate (95% CI) is from a linear mixed effects (LME) regression model shown by a solid (dotted) lines. The LME model included the corresponding baseline BP measurement as a covariate, a cubic polynomial to model time since randomization, an indicator variable for randomization group, an interaction term for randomization group × time (linear), along with a random intercept and random slope for time (linear). To confirm the LME model was reasonable, estimates for mean BP (95% CI; bowties) were also computed from a classical repeated measures model, where annual visits were coded categorically, and therefore do not assume a cubic relationship with time, nor a linear intervention effect.

The results of randomization in the DMT on (i) mean values at visit 1 and (ii) mean change in slope for the blood pressure measures by selected subgroups are shown in Table 2. Participants in the DM-I arm who were also randomized to the conjugated equine estrogen alone intervention arm had significantly lower SBP at year 1 (−2.74mm Hg, P < 0.01), which increased at a higher rate after this time (0.60mm Hg/year, P < 0.01). Moreover, DM-I participants who did not report a history of HTN at baseline had a significantly lower SBP at year 1 (−0.95mm Hg, P = 0.01), but the change after that point was not significantly different from those who did not report having HTN (0.18 vs. 0.14mm Hg/year respectively, P = 0.50). In contrast, there were no significant differences in the year 1 DBP or slope of annual change in DBP by the different subgroups.

The Kaplan–Meier estimates for incident HTN by DMT arm are depicted in Figure 3. Contrasted to those in the comparison group, those assigned to the intervention group had a 4% lower overall risk of developing incident HTN (HR: 0.96, 95% CI: 0.93–0.99). Although the risk of HTN was lower in the DM-I group in the first few years, the HR became greater than 1 after year 5 (P-trend ≤ 0.01).

Figure 3.

Figure 3.

Kaplan–Meier estimates for incident hypertension during the intervention period by DMT arm. Solid black line, intervention group; dashed black line, control group.

The effect of randomization to the DM-I group on incident HTN differed significantly by baseline statin medication use (Table 3). Those in the intervention group and who reported statin medication use at baseline had a 16% higher risk for developing HTN whereas those who did not report statin use had a 5% lower risk (P < 0.01). The results were essentially unchanged when those with a history of CVD were excluded from this analysis. There were no other significant differences in the risk for incident HTN by the other tested subgroups.

Table 3.

Effect of the dietary intervention on risk of incident hypertension by selected subgroupsa

Subgroup (baseline) Intervention Comparison HRb (95% CI) P-valuec
N (%) N (%)
Age (years) 0.74
 50–54 873 (6.1) 1,322 (6.2) 0.98 (0.90–1.07)
 55–59 1,456 (7.4) 2,197 (7.8) 0.95 (0.89–1.01)
 60–69 3,019 (9.9) 4,603 (10.3) 0.96 (0.92–1.01)
 70–79 1,088 (13.7) 1,616 (14.4) 0.95 (0.88–1.03)
Race/ethnicity 0.56
 White 5,295 (8.6) 8,096 (8.9) 0.95 (0.92–0.99)
 Black 634 (13.3) 878 (13.2) 1.02 (0.92–1.13)
 Hispanic 251 (8.3) 386 (9.3) 0.88 (0.75–1.04)
 African Indian 29 (8.2) 28 (8.0) 0.86 (0.47–1.57)
 Asian 146 (9.8) 228 (9.9) 1.02 (0.83–1.26)
Body mass index 0.48
 <25 1,593 (6.3) 2,465 (6.6) 0.94 (0.89–1.00)
 25 to < 30 2,368 (8.8) 3,657 (9.2) 0.95 (0.90–1.00)
 ≥30 2,447 (12.4) 3,578 (12.8) 0.97 (0.92–1.02)
CEE alone trial 0.67
 Active 246 (13.5) 385 (14.1) 0.96 (0.82–1.13)
 Placebo 232 (10.7) 373 (11.5) 0.92 (0.78–1.08)
 No randomized 2,276 (9.8) 3,332 (10.0) 0.98 (0.93–1.03)
CEE + MPA Trial 0.42
 Active 383 (10.2) 552 (10.1) 0.99 (0.87–1.13)
 Placebo 328 (9.2) 478 (10.14) 0.92 (0.80–1.06)
 Not randomized 2,971 (7.8) 4,617 (8.3) 0.95 (0.90–0.99)
CaD Trial 0.40
 Active 1,157 (7.9) 1,820 (7.8) 1.01 (0.94–1.09)
 Placebo 1,138 (7.6) 1,816 (7.8) 0.97 (0.90–1.04)
 Not randomized 4,141 (9.7) 6,102 (10.4) 0.96 (0.93–0.99)
% Energy from fat (tertiles) 0.43
 <34.8% 2,158 (8.6) 3,158 (8.7) 0.99 (0.94–1.05)
 34.8 to < 39.4% 2,108 (8.7) 3,316 (9.2) 0.93 (0.88–0.98)
 ≥39.4% 2,130 (9.5) 3,228 (9.9) 0.96 (0.91–1.02)
Smoking status 0.87
 Never 3,279 (8.9) 5,028 (9.4) 0.96 (0.92–1.00)
 Past 2,609 (8.8) 3,906 (9.1) 0.96 (0.91–1.01)
 Current 474 (9.4) 703(9.3) 0.99 (0.88–1.11)
Diabetes mellitus (treated) 0.40
 No 6,255 (8.8) 9,458 (9.1) 0.96 (0.93–0.99)
 Yes 181 (16.5) 278 (17.9) 0.88 (0.73–1.07)
History of statin use 0.01
 No 6,140 (8.8) 9,325 (9.2) 0.95 (0.92–0.98)
 Yes 296 (13.1) 413 (11.1) 1.16 (1.00–1.36)
History of CHD 0.17
 No 6,306 (8.9) 9,531 (9.2) 0.96 (0.93–0.99)
 Yes 50 (12.3) 90 (16.1) 0.75 (0.52–1.07)
History of stroke 0.40
 No 6,401 (8.9) 9,671 (9.2) 0.96 (0.93–0.99)
 Yes 35 (11.5) 67 (13.1) 1.17 (0.74–1.83)

aExcluded participants with prior history of hypertension at baseline (based on self-report of hypertension or use of antihypertensive medication). bHazard ratio (95% CI) from a proportional hazards model stratified by age group, HT trial randomization group, and subgroup. cCorresponds to a significance test of interaction or trend.

As the risk of incident HTN may be falsely elevated when the definition includes a single measure of blood pressure, we performed a secondary analysis using self-report of HTN. During the intervention period, there was a similar pattern of risk for self-reported incident HTN, which later leveled off and possibly diminished during the post-intervention period (P-value for difference in trends between periods = 0.02, see Supplementary Appendix). Consequently, there were no differences in incident HTN during extended follow-up.

When we examined changes in SBP by quartile of achieved levels of total and saturated fat, and using the entire comparison group as the reference as previously described,2 a significant trend (P < 0.001) was observed toward greater reduction of SBP at year 1 among those in the intervention group who reached the lowest levels of either total or saturated fat; −1.18 and −1.15mm Hg, respectively. These results should be interpreted with caution however, as these results utilize post-randomization behavior to characterize participants.13

DISCUSSION

In this trial of nearly 49,000 postmenopausal women, randomization to a dietary behavior modification intervention resulted in a small but statistically significant reduction in SBP and DBP, as well as a slightly lower risk for incident HTN, 1 year after enrollment. However, the differences were not maintained after the first few years such that the early benefit was eliminated by the 5th year of follow-up. Overall, these results demonstrate that randomization to an intervention focused on lowering total fat only did not confer long-term reduction in average blood pressure or risk of HTN in this population of postmenopausal women.

As higher blood pressure is the strongest risk factor for essentially all types of atherosclerotic CVD,14 the lack of long-term effect of the DM-I on blood pressure levels may partially explain the lack of reduction in incident coronary heart disease, carotid disease, stroke, or total CVD reported previously for the WHI-DMT.2,4 Additional longitudinal analyses could be performed to discern if other risk factors were significantly affected by the DMT and, thereby, provide further insight of the null effect of this trial on incident CVD in postmenopausal women.

The Dietary Approaches to Stop Hypertension (DASH) was a feeding trial that tested the efficacy of diets (i) rich in both fruits and vegetables or (ii) fruits, vegetables, and low-fat dairy products, in combination with reduced saturated and total fat on blood pressure. Compared to the control diet that was low in fruits, vegetables, and dairy products, and a higher fat content, all of the DASH intervention diets resulted in significantly lower SBP and DBP levels at the end of the 8-week feeding period.15 Notably, in the second DASH trial, participants assigned to the low-fat diet arm and who were also assigned to reduced sodium intake during the intervention period, had the greatest reductions in blood pressure at 30 days of follow-up.16 Our results not only confirm the short-term benefits of the DASH diet but also demonstrate that long-term benefits may be harder to sustain.

The results of our analyses appear to be somewhat similar to those of the PREDIMED trial. This study randomized healthy adults to a control group or a Mediterranean diet to include selected nuts. All groups participated in quarterly group sessions conducted by dieticians. At year 1, SBP and DBP were lower in all groups. However, after 4 years of follow-up, DBP, but not SBP, was significantly lower in the intervention groups.17,18 Since nuts are relatively high in fiber and unsaturated fatty acids,19 this dietary constituent may have beneficial cardiovascular health benefits. Given this, the short-term effect of the DM-I on blood pressure appears to be consistent with some combination of interventions that not only reduced dietary fat intake, but also increased intake of fruits and vegetables.20

It is important to note that, unlike the DASH trial, the WHI-DMT intervention did not focus on CVD or, more specifically, blood pressure reduction. Nor was weight reduction a goal. Despite this, the DM-I participants lost an average weight of 2.2kg in the first year, and maintained statistically significant lower weight than DM-C participants during follow-up, albeit diminishing somewhat over the trial period.8 As such, the loss in weight may have contributed to the reduction in blood pressure at year 1 compared to DM-C. However, it appears the initial weight loss, and significantly lower weight throughout the study, was not sufficient to overcome other factors that resulted in the increasing SBP. This is concordant with the results of the Trials of Hypertension Prevention where, among those in the intervention group that lost significant weight, SBP rose after the first 6 months of the follow-up period.21

Beyond the aforementioned discussion, it is unclear why the DM-I did not result in sustained reductions in blood pressure and risk for incident HTN. One possibility is that the intensity of the intervention changed from 18 group sessions in the first year to quarterly maintenance sessions thereafter. However, prior studies of the WHI DM cohort have demonstrated good adherence to the intervention and that dietary change can be achieved and maintained over the first 5 years of a clinical trial.22 Another is that there may be compensatory physiologic mechanisms that “resist” changes from long-term interventions. Indeed, Willett described the situation where dietary trials causing reductions in total calories from fat result in transient, but not sustained, reductions in total body fatness.23 Perhaps this “resistance” phenomenon is translatable to blood pressure.

Strengths of our study include a very large sample size in a well-characterized cohort that was followed for an extended period of time that collected repeated measures of BP along with self-report of medications for HTN. A limitation is that the women enrolled in the WHI were all postmenopausal and relatively healthy. As such, inferences to populations dissimilar to the WHI should be made with caution. Also, the analyses of incident HTN during the WHI extension period was based on self-report.

The results of our study confirm prior findings that randomization to an intensive behavioral dietary modification program can reduce blood pressure in the short term among postmenopausal women, but such reductions may be difficult to sustain. When combined with other results from the WHI, the current findings imply that the absence of more targeted dietary intervention may have contributed to the reasons why the DMT did not significantly reduce incident CVD.

SUPPLEMENTARY MATERIAL

Supplementary materials are available at American Journal of Hypertension (http://ajh.oxfordjournals.org).

DISCLOSURE

The authors declared no conflict of interest.

Supplementary Material

Supplementary Data
supp_29_8_959__index.html (1,021B, html)

ACKNOWLEDGMENTS

Program Office: (National Heart, Lung, and Blood Institute, Bethesda, Maryland) Jacques Rossouw, Shari Ludlam, Dale Burwen, Joan McGowan, Leslie Ford, and Nancy Geller.

Clinical Coordinating Center: Clinical Coordinating Center: (Fred Hutchinson Cancer Research Center, Seattle, WA) Garnet Anderson, Ross Prentice, Andrea LaCroix, and Charles Kooperberg.

Investigators and Academic Centers: (Brigham and Women’s Hospital, Harvard Medical School, Boston, MA) JoAnn E. Manson; (MedStar Health Research Institute/Howard University, Washington, DC) Barbara V. Howard; (Stanford Prevention Research Center, Stanford, CA) Marcia L. Stefanick; (The Ohio State University, Columbus, OH) Rebecca Jackson; (University of Arizona, Tucson/Phoenix, AZ) Cynthia A. Thomson; (University at Buffalo, Buffalo, NY) Jean Wactawski-Wende; (University of Florida, Gainesville/Jacksonville, FL) Marian Limacher; (University of Iowa, Iowa City/Davenport, IA) Robert Wallace; (University of Pittsburgh, Pittsburgh, PA) Lewis Kuller; (Wake Forest University School of Medicine, Winston-Salem, NC) Sally Shumaker.

The WHI program is funded by the National Institutes of Health through contracts HHSN268201100046C, HHS N268201100001C, HHSN268201100002C, HHSN26820110 0003C, HHSN268201100004C, and HHSN271201100004C.

REFERENCES

  • 1. Ritenbaugh C, Patterson RE, Chlebowski RT, Caan B, Fels-Tinker L, Howard B, Ockene J. The Women’s Health Initiative Dietary Modification Trial: overview and baseline characteristics of participants. Ann Epidemiol 2003; 13:S87–S97. [DOI] [PubMed] [Google Scholar]
  • 2. Howard BV, Van Horn L, Hsia J, Manson JE, Stefanick ML, Wassertheil-Smoller S, Kuller LH, LaCroix AZ, Langer RD, Lasser NL, Lewis CE, Limacher MC, Margolis KL, Mysiw WJ, Ockene JK, Parker LM, Perri MG, Phillips L, Prentice RL, Robbins J, Rossouw JE, Sarto GE, Schatz IJ, Snetselaar LG, Stevens VJ, Tinker LF, Trevisan M, Vitolins MZ, Anderson GL, Assaf AR, Bassford T, Beresford SAA, Black HR, Brunner RL, Brzyski RG, Caan B, Chlebowski RT, Gass M, Granek I, Greenland P, Hays J, Heber D, Heiss G, Hendrix SL, Hubbell FA, Johnson KC, Kotchen JM. Low-fat dietary pattern and risk of cardiovascular disease: the Women’s Health Initiative Randomized Controlled Dietary Modification Trial. JAMA 2006; 295:655–666. [DOI] [PubMed] [Google Scholar]
  • 3. Howard BV, Curb JD, Eaton CB, Kooperberg C, Ockene J, Kostis JB, Pettinger M, Rajkovic A, Robinson JG, Rossouw J, Sarto G, Shikany JM, Van Horn L. Low-fat dietary pattern and lipoprotein risk factors: the Women’s Health Initiative Dietary Modification Trial. Am J Clin Nutr 2010; 91:860–874. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Allison MA, Aragaki A, Eaton C, Li W, Van Horn L, Daviglus ML, Berger JS. Effect of dietary modification on incident carotid artery disease in postmenopausal women: results from the Women’s Health Initiative Dietary Modification Trial. Stroke 2014; 45:1748–1756. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Stamler J, Stamler R, Neaton JD. Blood pressure, systolic and diastolic, and cardiovascular risks. US population data. Arch Intern Med 1993; 153:598–615. [DOI] [PubMed] [Google Scholar]
  • 6. Appel LJ, Champagne CM, Harsha DW, Cooper LS, Obarzanek E, Elmer PJ, Stevens VJ, Vollmer WM, Lin P-H, Svetkey LP, Stedman SW, Young DR; Writing Group of the PREMIER Collaborative Research Group Effects of comprehensive lifestyle modification on blood pressure control: main results of the PREMIER clinical trial. JAMA 2003; 289:2083–2093. [DOI] [PubMed] [Google Scholar]
  • 7. Whelton PK. The effects of nonpharmacologic interventions on blood pressure of persons with high normal levels. JAMA 1992; 267:1213–1220. [DOI] [PubMed] [Google Scholar]
  • 8. Howard BV, Manson JE, Stefanick ML, Beresford SA, Frank G, Jones B, Rodabough RJ, Snetselaar L, Thomson C, Tinker L, Vitolins M, Prentice R. Low-fat dietary pattern and weight change over 7 years: the Women’s Health Initiative Dietary Modification Trial. JAMA 2006; 295:39–49. [DOI] [PubMed] [Google Scholar]
  • 9. Women’s Health Initiative Investigators. Design of the Women”s Health Initiative clinical trial and observational study. The Women”s Health Initiative Study Group. Control Clin Trials 1998; 19:61–109. [DOI] [PubMed] [Google Scholar]
  • 10. Jackson RD, LaCroix AZ, Cauley JA, McGowan J. The Women’s Health Initiative calcium-vitamin D trial: overview and baseline characteristics of participants. Ann Epidemiol 2003; 13:S98–S106. [DOI] [PubMed] [Google Scholar]
  • 11. US Department of Health and Human Services. Dietary Guidelines for Americans, 4th edn. USDA: Washington, DC, 1995. [Google Scholar]
  • 12. Ainsworth BE, Haskell WL, Whitt MC, Irwin ML, Swartz AM, Strath SJ, O’Brien WL, Bassett DR, Jr, Schmitz KH, Emplaincourt PO, Jacobs DR, Jr, Leon AS. Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sports Exerc 2000; 32:S498–S504. [DOI] [PubMed] [Google Scholar]
  • 13. Yusuf S, Wittes J, Probstfield J, Tyroler HA. Analysis and interpretation of treatment effects in subgroups of patients in randomized clinical trials. JAMA 1991; 266:93–98. [PubMed] [Google Scholar]
  • 14. Go AS, Mozaffarian D, Roger VL, Benjamin EJ, Berry JD, Borden WB, Bravata DM, Dai S, Ford ES, Fox CS, Franco S, Fullerton HJ, Gillespie C, Hailpern SM, Heit JA, Howard VJ, Huffman MD, Kissela BM, Kittner SJ, Lackland DT, Lichtman JH, Lisabeth LD, Magid D, Marcus GM, Marelli A, Matchar DB, McGuire DK, Mohler ER, Moy CS, Mussolino ME, Nichol G, Paynter NP, Schreiner PJ, Sorlie PD, Stein J, Turan TN, Virani SS, Wong ND, Woo D, Turner MB; American Heart Association Statistics Committee and Stroke Statistics Subcommittee Heart disease and stroke statistics–2013 update: a report from the American Heart Association. Circulation 2013; 127:e6–e245. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Appel LJ, Moore TJ, Obarzanek E, Vollmer WM, Svetkey LP, Sacks FM, Bray GA, Vogt TM, Cutler JA, Windhauser MM, Lin PH, Karanja N. A clinical trial of the effects of dietary patterns on blood pressure. DASH Collaborative Research Group. N Engl J Med 1997; 336:1117–1124. [DOI] [PubMed] [Google Scholar]
  • 16. Sacks FM, Svetkey LP, Vollmer WM, Appel LJ, Bray GA, Harsha D, Obarzanek E, Conlin PR, Miller ER, Simons-Morton DG, Karanja N, Lin P-H, Aickin M, Most-Windhauser MM, Moore TJ, Proschan MA, Cutler JA. Effects on blood pressure of reduced dietary sodium and the Dietary Approaches to Stop Hypertension (DASH) diet. N Engl J Med 2001; 344:3–10. [DOI] [PubMed] [Google Scholar]
  • 17. Estruch R, Ros E, Salas-Salvadó J, Covas MI, Corella D, Arós F, Gómez-Gracia E, Ruiz-Gutiérrez V, Fiol M, Lapetra J, Lamuela-Raventos RM, Serra-Majem L, Pintó X, Basora J, Muñoz MA, Sorlí JV, Martínez JA, Martínez-González MA; PREDIMED Study Investigators Primary prevention of cardiovascular disease with a Mediterranean diet. N Engl J Med 2013; 368:1279–1290. [DOI] [PubMed] [Google Scholar]
  • 18. Toledo E, Hu FB, Estruch R, Buil-Cosiales P, Corella D, Salas-Salvadó J, Covas MI, Arós F, Gómez-Gracia E, Fiol M, Lapetra J, Serra-Majem L, Pinto X, Lamuela-Raventós RM, Saez G, Bulló M, Ruiz-Gutiérrez V, Ros E, Sorli JV, Martinez-Gonzalez MA. Effect of the Mediterranean diet on blood pressure in the PREDIMED trial: results from a randomized controlled trial. BMC Med 2013; 11:207. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Kris-Etherton PM, Hu FB, Ros E, Sabaté J. The role of tree nuts and peanuts in the prevention of coronary heart disease: multiple potential mechanisms. J Nutr 2008; 138:1746S–1751S. [DOI] [PubMed] [Google Scholar]
  • 20. Morris MC. Dietary fats and blood pressure. J Cardiovasc Risk 1994; 1:21–30. [PubMed] [Google Scholar]
  • 21. Stevens VJ, Obarzanek E, Cook NR, Lee IM, Appel LJ, Smith West D, Milas NC, Mattfeldt-Beman M, Belden L, Bragg C, Millstone M, Raczynski J, Brewer A, Singh B, Cohen J; Trials for the Hypertension Prevention Research Group Long-term weight loss and changes in blood pressure: results of the Trials of Hypertension Prevention, phase II. Ann Intern Med 2001; 134:1–11. [DOI] [PubMed] [Google Scholar]
  • 22. Women’s Health Initiative Study Group. Dietary adherence in the Women’s Health Initiative Dietary Modification Trial. J Am Diet Assoc 2004; 104:654–658. [DOI] [PubMed] [Google Scholar]
  • 23. Willett WC. Is dietary fat a major determinant of body fat? Am J Clin Nutr 1998; 67:556S–562S. [DOI] [PubMed] [Google Scholar]

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