Skip to main content

Table 4 Association of diet quality indices with prospective health-related outcomes in paediatric populations (n = 12).

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

Index

Study

Setting

Study quality

Health-related results

Diet Quality Index for Adolescents (DQI-A)

Vyncke et al. (2013) [88]

- Austria, Belgium, France, Germany, Greece, Hungary, Italy, Spain, Sweden.

- μ14.7 (SD: 1.2) y; 52.6%F

- Data set: ‘Healthy Lifestyle in Europe by Nutrition in Adolescence (HELENA) (2006–2007)

+

Anthropometry: No significant association.

Nutritional biomarkers: Adjusted models: DQI-A scores positively associated with plasma 25(OH)D nmol/l (β = 0.005, 95% CI = 0·002, 0·008, p < 0.0001) and holo-transcobalamin pmol/l (indicator of B12) (β = 1·005, 95% CI = 1·002, 1·007, p = 0.0002) and n-3 FA status μmol/l (β = 0·376, 95% CI = 0·105, 0·646, P < 0·007).

Dietary Approaches to Stop Hypertension (DASH) diet score

Barnes et al. (2013) [273] [274]

- USA

- T1DM: μ14.7 (SD: 3.1) y; 46.8%F

- T2DM: μ16.8 (SD: 2.8)y; 65.4%F

- Data set: SEARCH for Diabetes in Youth Study

+

Anthropometry: No significant association.

Blood pressure: DASH score negatively associated with SBP (β = − 2.02, SE = 0.97, p = 0.0406) in T2DM sample.

HbA1c: DASH score negatively associated with HbA1c% (β = − 0.2, SE = 0.07, p = 0.0063) in T1DM sample.

Lipid profile: No significant association.

Healthy nutrition score based on food intake for pre-schoolers (HNSP)

Peng et al. (2015) [74]

- China

- μ4.5 (SD: 0.87) y; 54%F

- Data set: N/A

∅

Anthropometry: No significant association.

Nutritional biomarkers: HNSP scores significantly associated with plasma retinol (r = 0.128, p = 0.004). No other significant associations.

Complementary Feeding Utility Index (CFUI)

Golley et al. (2013) [269]

- UK

- Baseline: 6 m (48%F), follow-up: 7 (49%F) & 8y (50%F)

- Data set: Birth cohort from the Avon Longitudinal Study of Parents and Children (ALSPAC)

∅

Anthropometry: Simple model: CFUI score was negatively associated with BMI (β = −0.13 [− 0.20, − 0.07], p < 0.001) and WC (β = − 0.31 [− 0.45, − 0.17], p < 0.001). Adjusted models: CFUI score was negatively associated with WC (β = − 0.15 [− 0.31, − 0.002], p = 0.046).

Blood pressure: Simple models: CFUI score was negatively associated with SBP (β = − 0.66 [− 0.95, − 0.38], p < 0.001) and DBP (β = − 0.42 [− 0.63, − 0.21], p < 0.001). Adjusted models: CFUI score was negatively associated with DBP (β = − 0.15 [− 0.31, − 0.002], p < 0.001). Stratified by gender, CFUI score was associated with SBP in girls (p = 0.018), but not boys (p = 0.84).

IQ scores: Simple model: CFUI score positively associated with total, verbal, and performance IQ scores.

Adjusted models: CFUI score positively associated with total IQ (β = 1.92 [1.38, 2.47], p < 0.001), verbal IQ (β = 1.92 [1.37, 2.48], p < 0.001) and performance IQ (β = 1.33 [0.74, 1.92], p < 0.001).

Lipid profile: No significant association.

Healthy and unhealthy diet score

Jacka et al. (2011) [275]

- Australia

- μ11-18y; majority of students <15y (data not shown); 44%F

- Data set: It’s Your Move (IYM)

+

Mental health: Adjusted models: Healthy diet score positively associated with PedsQL scores (β = 0.29, 95%CI 0.17, 0.43, p < 0.001). Unhealthy diet scores negatively associated with PedsQL scores (β = − 0.17, 95%CI − 0.28, − 0.05, p < 0.004).

Alternative Health Eating Index (AHEI)

Harris et al. (2016) [244]

- USA

- Range 3-18y; 100%F

- Dataset: The Nurses’ Health Study II (NHS ll)

+

Premenopausal breast cancer: Adjusted models: Top third, fourth and fifth quintiles of diet quality negatively associated with premenopausal breast cancer incidence (HR: 0.78, 95%CI = 0.63,0.97; HR: 0.86, 95%CI = 0.69,1.07; HR: 0.84, 95%CI: 0.67,1.04 respectively).

Postmenopausal breast cancer: No significant association

Nutrition Quality Index (NQI) and Revised Children’s Diet Quality Index (RC-DQI)

Cheng et al. (2010) [117]

- Germany

- Baseline: μ7.4y(SD: 1.3y), Age of onset of pubertal growth spurt: μ9.4y(SD: 1.2y); 53.6% F

- Data set: The DONALD Study

+

Anthropometry: Simple models: NQI score positively associated with FFMI Z-score (− 0.2 95%CI − 0.4, 0.1, p = 0.04). RC-DQI negatively associated with BMI Z-score (− 0.1 95%CI − 0.3, 0.2, p = 0.048) and FMI Z-score (− 0.1 95%CI − 0.3, 0.2, p = 0.04) at the onset of puberty growth spurt.

Adjusted models: no significant association.

Timing of puberty: Adjusted models: scores positively associated with timing of puberty (9.2, 95% CI 9.0, 9.4, p = 0.02). RC-DQI score not associated with the onset of pubertal growth spurt.

Modified Healthy Eating Index (mHEI)

Hooshmand et al. (2018) [149]

- Iran

- Baseline: μ13.6y(SD: 3.7y);57%F

- Dataset: the Tehran Lipid and Glucose Study (TLGS)

Baseline (1999–2001), surveys II (2002–2005), III (2006–2008), and IV (2009–2011).

+

MetS: Simple models: mHEI score negatively associated with MetS incidence (OR: 0.38, 95%CI 0.14,1.04). Adjusted models: mHEI score negatively associated with MetS incidence (OR: 0.35, 95%CI 0.13, 0.98).

Modified Mediterranean Diet Quality Index for children and adolescents (m-KM)

Martin-Calvo et al. (2016) [254]

- USA

- Range: 8-15y; 55%F

- Dataset: The ongoing Growing Up Today Study (GUTS) II cohort (est. 2004, follow up: 2006, 2008, 2011)

+

Anthropometry: Simple model: m-KM score was negatively associated with BMI (β = − 0.04 95%CI − 0.07, 0.02, p = 0.001). Adjusted model: m-KM score was negatively associated with BMI (p < 0.001).

Raine Eating Assessment in Toddlers (EAT) score

Meyerkort et al. (2012) [38]

- Australia

- Range: mid gestation-17y (follow up at: 3, 5, 8, 10, 14 or 17y); 49%F

- Dataset: The Western Australian Pregnancy Cohort (Raine) Study (1989–1991)

+

Anthropometry: Simple models: The EAT score at 1y associated with BMI at 5y (p = 0.009), 8y (p = 0.003), 10y (p = 0.001), 14y (p = 0.001) and 17y (p < 0.001). Adjusted models: EAT score at 1y associated with BMI at 5y (p = 0.025), 8y (p = 0.019), 10y (p = 0.013).

Unnamed dietary score

Okubo et al. (2015) [85]

- UK

- 6 m, 12 m, 3y & 6y; 44.9%F

- Dataset: The Southampton Women’s Survey study

+

Anthropometry: Simple models: score associated with fat mass at 6 yrs. (P < 0.001). Adjusted models: score negatively associated with fat mass at 6 yrs. (P = 0.01).

Diet Quality Index International (DQI-I)

Setayeshgar et al. (2017) [252]

- Canada

- Range: 8-10y

Baseline: μ9.6(SD: 0.9)

Follow up: μ 11.6(SD: 0.9); 45%F

- Dataset: QUALITY (QUebec Adipose and Lifestyle InvesTigation in Youth) study

+

Anthropometry: Adjusted models: DQI-I score was negatively associated with lower gain in CFMI (β = − 0·08; 95% CI − 0·17, − 0·003) and %BF (β = − 0·55; 95% CI −1·08, − 0·02).

  1. BF Body fat, BMI Body mass index, BP Blood pressure, Ca Calcium, CBF Central body fat, CFMI Central fat mass index, CI Confidence interval, Fe iron, FFMI Fat free mass index, FFQ Food frequency questionnaire, FMI Fat mass index, FPG Fasting plasma glucose, Hb Haemoglobin, HDL High-density lipoprotein, HDQ High diet quality, HR Hazzard ratio, IQR Interquartile range, LDL Low-density lipoprotein, m months, mCHG mean corpuscular haemoglobin, MetS Metabolic Syndrome, MDP Mediterranean dietary pattern, Min., max minimum and maximum for continuous variables, OR Odds ratio, PedsQL Pediatric Quality of Life Inventory, SBP Systolic blood pressure, SD Standard deviation, SDQ Strength and difficulties questionnaire, SEIFA Socio-economic Indexes for Areas, TC Total cholesterol, TG Triglycerides, TIDM Type 1 diabetes mellitus, TIIDM Type 2 diabetes mellitus, WC Waist circumference, Zn Zinc