Literature DB >> 24126768

Change in DASH diet score and cardiovascular risk factors in youth with type 1 and type 2 diabetes mellitus: The SEARCH for Diabetes in Youth Study.

T L Barnes1, J L Crandell, R A Bell, E J Mayer-Davis, D Dabelea, A D Liese.   

Abstract

Youth with diabetes are at an increased risk of cardiovascular disease (CVD). Adherence to the Dietary Approaches to Stop Hypertension (DASH) diet has been shown to improve CVD risk. In this study, we evaluated whether changes in diet quality as characterized by DASH are associated with changes in CVD risk factors in youth with diabetes over time. Longitudinal mixed models were applied to data from 797 participants in the SEARCH for Diabetes in Youth Study representing three time points: baseline, 12- and 60-month follow-up. Data were restricted to youth whose diabetes was first diagnosed in 2002-2005. DASH-related adherence was poor and changed very little over time. However, an increase in DASH diet score was significantly associated with a decrease in HbA1c levels in youth with type 1 diabetes (β=-0.20, P-value=0.0063) and a decrease in systolic blood pressure among youth with type 2 diabetes (β=-2.02, P-value=0.0406). Improvements in dietary quality may be beneficial in youth with type 1 or type 2 diabetes. However, further work in larger groups of youth with type 1 and 2 diabetes is desirable.

Entities:  

Year:  2013        PMID: 24126768      PMCID: PMC3817346          DOI: 10.1038/nutd.2013.32

Source DB:  PubMed          Journal:  Nutr Diabetes        ISSN: 2044-4052            Impact factor:   5.097


Introduction

Observational studies and clinical trials have shown that adherence to the Dietary Approaches to Stop Hypertension (DASH) diet is associated with improved cardiovascular health and cardiovascular disease (CVD) risk in adults and youth.[1, 2, 3, 4] Youth with diabetes are at an increased risk of developing CVD.[5] In a cross-sectional analysis, the SEARCH for Diabetes in Youth Study (SEARCH) previously reported that consumption of a more DASH-like diet was inversely related to CVD risk factors including hypertension, total cholesterol, low-density lipoprotein, low-density lipoprotein/high-density lipoprotein ratio and hemoglobin A1c (HbA1c).[6, 7] The DASH diet emphasizes fruits, vegetables, low-fat milk products, whole grains, fish/poultry/nuts, lean red meats and limited intake of sugar and sweets, resulting in low-saturated fat, cholesterol, total fat and sodium intake.[8] Thus, good adherence to the diet plan equates to a higher dietary quality. A few studies have examined the association of a DASH-like diet and hypertension in youth and adolescents;[7, 9, 10, 11] however, no study has examined several CVD risk factors and DASH prospectively in youth with or without diabetes. This study investigated whether change in a DASH diet score was associated with change in CVD risk over multiple time points.

Methods

SEARCH is an ongoing multicenter study of physician-diagnosed diabetes mellitus in youth aged <20 years at diagnosis beginning in 2001. Study design details have been published.[12] The study has been approved by all participating local institutional review boards. The sample included data from an initial (baseline) visit and two subsequent follow-up visits targeting 12 and 60 months. Follow-up visits were, on average, 14.7 months after the initial visit (s.d.=3.1 months; range=6–26 months) and 62.9 months (6.3 months; range=29–87 months), respectively. Data collection followed SEARCH standardized protocols.[6, 7, 12] Cardiovascular risk measures included diastolic blood pressure (BP), systolic BP, HDL, low-density lipoprotein, total cholesterol, triglycerides, HbA1c, waist circumference and body mass index calculated as weight per height[2] (kg m−2) and converted to body mass index-Z score.[6] DASH adherence was assessed with an index score ranging from 0 to 80 comprised of the sum of meeting recommendations on eight food groups (grains, vegetables, fruits, dairy, meat, nuts/seeds/legumes, fats/oils and sweets) based on the SEARCH 85-item food frequency questionnaire.[6, 7] A maximum score of 10 could be achieved for each food group when the intake met the recommendation and lower intakes were scored proportionally. Previous reports describe diet intake according to DASH food groups and illustrate the scoring algorithm.[6, 7] Food groups were created by either collapsing food items on the basis of their major components or by disaggregating composite foods into constituent foods. Duration of diabetes, age, gender, race/ethnicity, income, study site, height, weight, waist circumference and physical activity was also obtained for each participant based on SEARCH protocols.[6, 7, 12] This analysis was restricted to youth whose diabetes was first diagnosed in 2002–2005, were ⩾10 years of age (n=1386), had diabetes for at least 6 months at their initial visit (n=1014) and had completed a baseline food frequency questionnaire. Of the 969 participants who met these criteria, youth were also excluded sequentially for missing CVD-related measures (n=130) and those fasting <8 h at any visit (n=42). The final sample consisted of 797 participants. Of the 617 youth with type 1 diabetes, 278 had a complete 12-month follow-up visit (i.e. including diet information) and 231 had a complete 60-month follow-up visit. A total of 65 and 53 participants, respectively, had complete follow-up visits of the 180 youth with type 2 diabetes.

Statistical analyses

Statistical analyses were conducted using SAS 9.2 (SAS Institute, Cary, NC, USA) stratified by diabetes type. Longitudinal mixed-models with a random intercept to account for within-subject dependence were used to assess the relationship between the DASH diet score and CVD risk factors. Available CVD risk factor measurements were modeled as a function of baseline DASH score and change in DASH from baseline; these two captured the relationship between DASH score at baseline and the outcome as well as whether a change in DASH score was associated with the outcome longitudinally. Each model also adjusted for age, disease duration, race/ethnicity, sex, study site, income, height, body mass index-Z score and waist circumference.

Results

Mean values of CVD risk factors and change in DASH diet score are shown by visit and diabetes type in Table 1. Dietary quality at baseline was poor with a mean of 39.8 (s.d.=9.0) for youth with type 1 diabetes and 36.4 (s.d.=9.6) for youth with type 2 diabetes. Additionally, DASH score did not appear to change systematically over time, with a mean change of -0.18 (s.d.=10.1), for follow-up visit 1 and −0.41 (s.d.=11.2) for follow-up visit 2 in youth with type 1 diabetes. In youth with type 2 diabetes, the overall mean change in DASH score was also small, with -0.36 (s.d.=10.7) at follow-up visit 1 and 1.99 (s.d.=11.4) at follow-up visit 2. Several CVD risk factors increased over time in youth with type 1 diabetes, including BP, total cholesterol, triglycerides and HbA1c levels. HDL and HbA1c also significantly increased over time in youth with type 2 diabetes.
Table 1

Mean values (s.d.) for DASH diet score and cardiovascular risk factors by visit and diabetes type

 Baseline visitFollow-up visit 1 (12-month)Follow-up visit 2 (60-month)
Type 1 diabetes mellitusa
 DASH score at baseline39.8 (9.0)39.7 (9.0)39.9 (8.9)
 Change in DASH scoreb−0.18 (10.1)−0.41 (11.2)
 Diastolic BP (mm Hg)c65.4 (9.2)66.9 (9.0)71.5 (8.3)
 Systolic BP (mm Hg)c105.2 (10.4)107.1 (10.2)110.7 (9.1)
 HDL cholesterol (mg dl−1)52.8 (12.3)53.0 (11.3)53.5 (13.7)
 LDL cholesterol (mg dl−1)94.1 (25.7)94.1 (25.1)97.3 (28.9)
 LDL/HDL ratio1.86 (0.62)1.86 (0.64)1.95 (0.82)
 Total cholesterol (mg dl−1)c161.3 (31.8)163.4 (31.7)172.0 (37.4)
 Triglycerides (mg dl−1)c71.6 (41.5)83.3 (61.6)111.6 (143.0)
 BMI-Z score0.52 (0.98)0.50 (0.96)0.65 (0.91)
 Waist circumference (cm)c77.2 (11.7)79.3 (11.7)86.8 (12.0)
 HbA1c (%)c7.97 (1.71)8.55 (1.76)9.31 (2.17)
    
Type 2 diabetes mellitusd
 DASH score at baseline36.4 (9.6)36.7 (9.4)36.8 (9.9)
 Change in DASH scoree−0.36 (10.7)1.99 (11.4)
 Diastolic BP (mm Hg)72.9 (9.9)71.2 (10.2)74.6 (8.2)
 Systolic BP (mm Hg)118.2 (12.5)115.6 (11.2)117.4 (13.2)
 HDL cholesterol (mg dl−1)c41.6 (9.7)41.6 (8.3)45.7 (13.0)
 LDL cholesterol (mg dl−1)102.6 (28.3)102.4 (32.3)108.1 (34.4)
 LDL/HDL Ratio2.57 (0.89)2.50 (0.76)2.50 (0.94)
 Total cholesterol (mg dl−1)174.3 (35.3)174.0 (37.5)184.5 (41.1)
 Triglycerides (mg dl−1)169.7 (213.4)165.5 (172.4)171.9 (182.8)
 BMI-Z scorec2.11 (0.77)2.11 (0.58)1.77 (0.84)
 Waist circumference (cm)110.7 (23.0)113.0 (18.4)113.1 (21.3)
 HbA1c (%)c7.21 (2.21)7.80 (2.53)9.37 (2.95)

Abbreviations: BMI, body mass index; BP, blood pressure; HbA1c, glycated hemoglobin; HDL, high-density lipoprotein; LDL, low-density lipoprotein.

617 participants for baseline visit.

278 participants for follow-up visit 1 and 231 for follow-up visit 2.

Significantly varied by visit, P<0.05.

180 participants for baseline visit.

65 participants for follow-up visit 1 and 53 for follow-up visit 2. Bold values were those values that significantly varied by visit, P<0.05.

For each risk factor, Table 2 displays the results of the longitudinal mixed-models which separate the effect of diet at baseline from the effect of change in diet and included time-varying covariates. In youth with type 1 diabetes, change in DASH-related diet score was inversely associated with HbA1c levels. Thus, a 10-point positive change (increase) in DASH score resulted in a 0.20% decrease in HbA1c levels. In youth with type 2 diabetes, change in DASH score was inversely associated with systolic BP. Here, a 10-point increase in DASH score resulted in a 2.02-mm Hg decrease in systolic BP. Additionally, a significant cross-sectional relationship was observed between DASH score at baseline and low-density lipoprotein/high-density lipoprotein ratio (β=−0.14, P-value=0.0443) and DASH score at baseline and total cholesterol (β=−7.78, P-value=0.0093).
Table 2

Longitudinal mixed modeling results for change in DASH diet score and cardiovascular disease risk factors

 β1, Effect of DASH score at baselines.e.P-valueβ2, Effect of change in DASH scores.e.P-value
Type 1 diabetes mellitusa
 Diastolic BP (mm Hg)−0.110.340.7574−0.070.390.8523
 Systolic BP (mm Hg)−0.180.370.62340.350.400.3908
 HDL cholesterol (mg dl−1)0.310.490.5234−0.320.440.4701
 LDL cholesterol (mg dl−1)−1.811.110.10380.390.910.6677
 LDL/HDL ratio−0.050.030.06040.020.020.3565
 Total cholesterol (mg dl−1)−1.841.360.1764−0.271.250.8291
 Triglycerides (mg dl−1)−0.353.080.91071.133.710.7609
 BMI−Z score−0.020.020.35330.0040.020.8399
 Waist circumference (cm)0.090.030.7236−0.020.230.9285
 HbA1c (%)−0.100.070.16980.200.070.0063
       
Type 2 diabetes mellitusb
 Diastolic BP (mm Hg)−0.290.720.6869−0.100.790.8968
 Systolic BP (mm Hg)−0.850.850.31852.020.970.0406
 HDL cholesterol (mg dl−1)−0.230.760.75880.080.670.9060
 LDL cholesterol (mg dl−1)−4.722.380.0504−1.592.090.4492
 LDL/HDL ratio0.140.070.0443−0.060.070.3570
 Total cholesterol (mg dl−1)7.782.930.0093−1.312.490.5993
 Triglycerides (mg dl−1)−24.0017.170.1660−3.6810.390.7236
 BMI−Z Score0.020.040.60710.050.040.1986
 Waist circumference (cm)−1.871.060.0822−1.971.140.0864
 HbA1c (%)0.160.180.4026−0.080.180.6492

Abbreviations: BMI, body mass index; BP, blood pressure; HbA1c, glycated hemoglobin; HDL, high-density lipoprotein; LDL, low-density lipoprotein.

Models adjusted for the following covariates: diabetes mellitus duration at visit, age at visit, height at visit, BMI-Z score at visit, waist circumference at visit, physical activity, gender, race, income at visit and study site.

β, change per 10-unit increase in DASH score at baseline; β2, change per 10-unit increase in change in DASH Score.

1126 observations were used for Type 1 diabetes participants (including 617 participants at baseline, 278 participants for follow-up visit 1 and 231 participants for follow-up visit 2).

298 observations were used for Type 2 diabetes participants (including 180 participants at baseline, 65 participants for follow-up visit 1 and 53 participants for follow-up visit 2). Bold values were those values with significant associations in modeling results.

Discussion

To the best of our knowledge, the effects of dietary changes characterized by a DASH diet score on CVD risk factors in youth with diabetes have not been evaluated in observational studies. In adults, greater adherence to a DASH diet has been associated with significantly reduced risk of heart failure, CVD and stroke in longitudinal studies.[1, 2, 13, 14] However, these studies focused on the occurrence of an event rather than change in CVD risk factors over time. In adolescents, one study has shown that a DASH-style diet can help curb gains in body mass index[15] and in two others, a DASH-style diet was associated with improved BP.[9, 11] In general, a high-quality diet has been shown to positively affect energy intake, vascular flow and glucose control.[16] This study found that a positive change in diet was associated with improvements in HbA1c levels among youth with type 1 diabetes and systolic BP in youth with type 2 diabetes. Strengths of this study include the longitudinal modeling to examine the change in DASH diet and the cross-sectional effect of baseline diet. Limitations include a small sample size; however, the modeling approach accounted for loss of follow-up by the inclusion of multiple time points. Conclusions were the same when restricting analyses to only those individuals with both baseline and follow-up 1 or follow-up 2 data. Lastly, this study did not provide information on specific changes in macro- or micronutrients. Given the results and nutritional components of the DASH diet plan, sustaining good quality dietary intake as characterized by a DASH diet may serve as a benefit especially in youth with type 1 and type 2 diabetes.
  15 in total

1.  The efficacy of a clinic-based behavioral nutrition intervention emphasizing a DASH-type diet for adolescents with elevated blood pressure.

Authors:  Sarah C Couch; Brian E Saelens; Linda Levin; Katie Dart; Grace Falciglia; Stephen R Daniels
Journal:  J Pediatr       Date:  2007-11-05       Impact factor: 4.406

2.  Prevalence of cardiovascular disease risk factors in U.S. children and adolescents with diabetes: the SEARCH for diabetes in youth study.

Authors:  Beatriz L Rodriguez; Wilfred Y Fujimoto; Elizabeth J Mayer-Davis; Giuseppina Imperatore; Desmond E Williams; Ronny A Bell; R Paul Wadwa; Shana L Palla; Lenna L Liu; Ann Kershnar; Stephen R Daniels; Barbara Linder
Journal:  Diabetes Care       Date:  2006-08       Impact factor: 19.112

Review 3.  The DASH diet and insulin sensitivity.

Authors:  Alan L Hinderliter; Michael A Babyak; Andrew Sherwood; James A Blumenthal
Journal:  Curr Hypertens Rep       Date:  2011-02       Impact factor: 5.369

Review 4.  Coronary heart disease prevention: nutrients, foods, and dietary patterns.

Authors:  Shilpa N Bhupathiraju; Katherine L Tucker
Journal:  Clin Chim Acta       Date:  2011-05-07       Impact factor: 3.786

5.  Dietary Approaches to Stop Hypertension (DASH) eating pattern and risk of elevated blood pressure in adolescent girls.

Authors:  Lynn L Moore; M Loring Bradlee; Martha R Singer; M Mustafa Qureshi; Justin R Buendia; Stephen R Daniels
Journal:  Br J Nutr       Date:  2012-01-16       Impact factor: 3.718

6.  Use of a DASH food group score to predict excess weight gain in adolescent girls in the National Growth and Health Study.

Authors:  Jonathan P B Berz; Martha R Singer; Xinxin Guo; Stephen R Daniels; Lynn L Moore
Journal:  Arch Pediatr Adolesc Med       Date:  2011-06

7.  Association of DASH diet with cardiovascular risk factors in youth with diabetes mellitus: the SEARCH for Diabetes in Youth study.

Authors:  Angela D Liese; Andrey Bortsov; Anke L B Günther; Dana Dabelea; Kristi Reynolds; Debra A Standiford; Lenna Liu; Desmond E Williams; Elizabeth J Mayer-Davis; Ralph B D'Agostino; Ronny Bell; Santica Marcovina
Journal:  Circulation       Date:  2011-03-21       Impact factor: 29.690

8.  Degree of concordance with DASH diet guidelines and incidence of hypertension and fatal cardiovascular disease.

Authors:  Aaron R Folsom; Emily D Parker; Lisa J Harnack
Journal:  Am J Hypertens       Date:  2007-03       Impact factor: 2.689

9.  Adherence to a DASH-style diet and risk of coronary heart disease and stroke in women.

Authors:  Teresa T Fung; Stephanie E Chiuve; Marjorie L McCullough; Kathryn M Rexrode; Giancarlo Logroscino; Frank B Hu
Journal:  Arch Intern Med       Date:  2008-04-14

10.  Consistency with the DASH diet and incidence of heart failure.

Authors:  Emily B Levitan; Alicja Wolk; Murray A Mittleman
Journal:  Arch Intern Med       Date:  2009-05-11
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  20 in total

1.  Association between diet quality indices and arterial stiffness in youth with type 1 diabetes: SEARCH for Diabetes in Youth Nutrition Ancillary Study.

Authors:  Angela D Liese; Sarah C Couch; Natalie S The; Jamie L Crandell; Jean M Lawrence; Tessa L Crume; Elizabeth J Mayer-Davis; Victor W Zhong; Elaine M Urbina
Journal:  J Diabetes Complications       Date:  2020-08-21       Impact factor: 2.852

2.  Longitudinal associations of nutritional factors with glycated hemoglobin in youth with type 1 diabetes: the SEARCH Nutrition Ancillary Study.

Authors:  Archana P Lamichhane; Jamie L Crandell; Lindsay M Jaacks; Sarah C Couch; Jean M Lawrence; Elizabeth J Mayer-Davis
Journal:  Am J Clin Nutr       Date:  2015-05-06       Impact factor: 7.045

3.  Adherence to the DASH diet and prevalence of the metabolic syndrome among Iranian women.

Authors:  Parvane Saneei; Ebrahim Fallahi; Farzaneh Barak; Negar Ghasemifard; Ammar Hassanzadeh Keshteli; Ahmad Reza Yazdannik; Ahmad Esmaillzadeh
Journal:  Eur J Nutr       Date:  2014-06-07       Impact factor: 5.614

4.  Diet quality indices and their associations with health-related outcomes in children and adolescents: an updated systematic review.

Authors:  Phoebe Dalwood; Skye Marshall; Tracy L Burrows; Ashleigh McIntosh; Clare E Collins
Journal:  Nutr J       Date:  2020-10-24       Impact factor: 3.271

5.  Effects of the dietary approaches to stop hypertension (DASH) diet on glucose variability in youth with Type 1 diabetes.

Authors:  Abigail D Peairs; Amy S Shah; Suzanne Summer; Melody Hess; Sarah C Couch
Journal:  Diabetes Manag (Lond)       Date:  2017

6.  Availability of Lower-Sodium School Lunches and the Association with Selection and Consumption among Elementary and Middle School Students.

Authors:  Juliana F W Cohen; Scott Richardson; Christina A Roberto; Eric B Rimm
Journal:  J Acad Nutr Diet       Date:  2020-10-21       Impact factor: 4.910

Review 7.  Twenty years of pediatric diabetes surveillance: what do we know and why it matters.

Authors:  Dana Dabelea; Katherine A Sauder; Elizabeth T Jensen; Amy K Mottl; Alyssa Huang; Catherine Pihoker; Richard F Hamman; Jean Lawrence; Lawrence M Dolan; Ralph D' Agostino; Lynne Wagenknecht; Elizabeth J Mayer-Davis; Santica M Marcovina
Journal:  Ann N Y Acad Sci       Date:  2021-02-05       Impact factor: 6.499

8.  Improving dietary quality in youth with type 1 diabetes: randomized clinical trial of a family-based behavioral intervention.

Authors:  Tonja R Nansel; Lori M B Laffel; Denise L Haynie; Sanjeev N Mehta; Leah M Lipsky; Lisa K Volkening; Deborah A Butler; Laurie A Higgins; Aiyi Liu
Journal:  Int J Behav Nutr Phys Act       Date:  2015-05-08       Impact factor: 6.457

Review 9.  The SEARCH for Diabetes in Youth study: rationale, findings, and future directions.

Authors:  Richard F Hamman; Ronny A Bell; Dana Dabelea; Ralph B D'Agostino; Lawrence Dolan; Giuseppina Imperatore; Jean M Lawrence; Barbara Linder; Santica M Marcovina; Elizabeth J Mayer-Davis; Catherine Pihoker; Beatriz L Rodriguez; Sharon Saydah
Journal:  Diabetes Care       Date:  2014-12       Impact factor: 19.112

10.  Dietary Patterns Over Time and Microalbuminuria in Youth and Young Adults With Type 1 Diabetes: The SEARCH Nutrition Ancillary Study.

Authors:  Tina Costacou; Jamie Crandell; Anna R Kahkoska; Angela D Liese; Dana Dabelea; Jean M Lawrence; David J Pettitt; Kristi Reynolds; Elizabeth J Mayer-Davis; Amy K Mottl
Journal:  Diabetes Care       Date:  2018-06-14       Impact factor: 19.112

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