These diet quality figures cover the measurement periods and populations identified in the available source material. Estimates, surveys and forecasts retain their reported scope.
Key Diet Quality Statistics
The main findings are:
- The 2018 global mean Alternative Healthy Eating Index (AHEI) score was 40.3 on a 0–100 scale (95% UI 39.4–41.3) (185-country global estimate).
- The share of U.S. adults with poor diet quality fell from 48.8% in 1999 to 37.4% in 2020 (1999–2020; United States adults).
- Among U.S. adults from 1999 to 2010, the AHEI-2010 sugar-sweetened-beverage and fruit-juice component score increased by 0.9 points (1999–2010).
- Dietary risks were associated with 11 million deaths globally in 2017 (95% UI 10–12 million) (Global adults).
- A 20-percentile improvement in diet-quality score was associated with an 8%–17% lower risk of total mortality across three diet indices (Follow-up cohorts; publication 2017; Prospective cohort populations).
- The 2018 AHEI regional mean was 30.3 in Latin America and the Caribbean (95% UI 28.7–32.2).
- The share of U.S. adults with intermediate diet quality rose from 50.6% in 1999 to 61.1% in 2020 (1999–2020; United States adults).
- The U.S. adult whole-fruit AHEI-2010 component score increased by 0.7 points from 1999 to 2010 (1999–2010; U.S. adults).
- Dietary risks accounted for 22% of all adult deaths globally in 2017 (95% UI 21%–24%) (Global adults).
- A 20-percentile improvement in AHEI or alternate Mediterranean score was associated with a 7%–15% lower risk of cardiovascular mortality (Follow-up cohorts; publication 2017; Prospective cohort populations).
- The 2018 AHEI regional mean was 45.7 in South Asia (95% UI 43.8–49.3).
- The share of U.S. adults with ideal diet quality increased from 0.66% in 1999 to 1.58% in 2020 (1999–2020; United States adults).
- The U.S. adult whole-grain AHEI-2010 component score increased by 0.5 points from 1999 to 2010 (1999–2010; U.S. adults).
- Dietary risks were associated with 255 million DALYs globally in 2017 (95% UI 234–274 million) (Global adults).
- In a 77,004-person UK Biobank analysis, higher diet quality was associated with lower all-cause mortality regardless of genetic cardiovascular-risk level (UK Biobank follow-up; publication 2021; UK Biobank adults).
Contents
- Key Diet Quality Statistics
- Global diet quality statistics by country and region
- U.S. diet quality statistics across adults and children
- Diet quality trends by food component and age
- Dietary risk statistics for deaths and disease burden
- Diet quality statistics for cardiovascular and mortality outcomes
Global diet quality statistics by country and region
- The 2018 global mean Alternative Healthy Eating Index (AHEI) score was 40.3 on a 0–100 scale (95% UI 39.4–41.3) (185-country global estimate). (Global dietary quality in 185…)
- The 2018 AHEI regional mean was 30.3 in Latin America and the Caribbean (95% UI 28.7–32.2). (Global dietary quality in 185…)
- The 2018 AHEI regional mean was 45.7 in South Asia (95% UI 43.8–49.3). (Global dietary quality in 185…)
- The global AHEI distribution in 2018 spanned 30.3 to 45.7 across the reported regional means (Reported global regions). (Global dietary quality in 185…)
- The study covered 185 countries and the period 1990–2018 for global dietary-quality estimates. (Global dietary quality in 185…)
Modelled estimate from the Global Dietary Database; AHEI is not the same metric as HEI-2015.
Regional model estimate with uncertainty interval.
Range is across regional means, not individual people or every country.
Coverage describes the modelled dataset, not a direct survey in every country-year.
U.S. diet quality statistics across adults and children
- The share of U.S. adults with poor diet quality fell from 48.8% in 1999 to 37.4% in 2020 (1999–2020; United States adults). (Trends in Diet Quality Among…)
- The share of U.S. adults with intermediate diet quality rose from 50.6% in 1999 to 61.1% in 2020 (1999–2020; United States adults). (Trends in Diet Quality Among…)
- The share of U.S. adults with ideal diet quality increased from 0.66% in 1999 to 1.58% in 2020 (1999–2020; United States adults). (Trends in Diet Quality Among…)
- The poor-quality adult category changed by −11.4 percentage points from 1999 to 2020 (1999–2020; United States adults). (Trends in Diet Quality Among…)
- The intermediate-quality adult category changed by +10.5 percentage points from 1999 to 2020 (1999–2020; United States adults). (Trends in Diet Quality Among…)
- The ideal-quality adult category changed by +0.93 percentage points from 1999 to 2020 (1999–2020; United States adults). (Trends in Diet Quality Among…)
- U.S. youth HEI-2015 mean score rose from 44.6 in 1999–2000 to 49.6 in 2015–2016 (1999–2000 to 2015–2016; U.S. youth aged 2–19). (Trends in Diet Quality Among…)
- The youth HEI-2015 increase from 44.6 to 49.6 represented an 11.2% improvement (1999–2000 to 2015–2016; U.S. youth aged 2–19). (Trends in Diet Quality Among…)
- The proportion of U.S. youth with poor AHA primary diet quality fell from 76.8% to 56.1% between 1999–2000 and 2015–2016 (1999–2000 to 2015–2016; U.S. youth aged 2–19). (Trends in Diet Quality Among…)
- The proportion of U.S. youth with intermediate AHA primary diet quality rose from 23.2% to 43.7% over the same period (1999–2000 to 2015–2016; U.S. youth aged 2–19). (Trends in Diet Quality Among…)
- The youth AHA primary score mean rose from 14.8 to 18.8 out of 50 between 1999–2000 and 2015–2016 (1999–2000 to 2015–2016; U.S. youth aged 2–19). (Trends in Diet Quality Among…)
- The youth AHA secondary score mean rose from 29.2 to 33.0 out of 80 between 1999–2000 and 2015–2016 (1999–2000 to 2015–2016; U.S. youth aged 2–19). (Trends in Diet Quality Among…)
- The youth AHA secondary score improved by 13% from 1999–2000 to 2015–2016 (U.S. youth aged 2–19). (Trends in Diet Quality Among…)
- The mean U.S. HEI-2010 score increased from 49 in 1999–2000 to 59 in 2011–2012 (1999–2000 to 2011–2012; U.S. population). (Dietary Guidelines for Americans, 2020-2025)
- Average HEI-2015 score was 61 for U.S. children aged 2–4 (2015–2020 guideline data). (Dietary Guidelines for Americans, 2020-2025)
- Average HEI-2015 score was 55 for U.S. children aged 5–8 (2015–2020 guideline data). (Dietary Guidelines for Americans, 2020-2025)
- Average HEI-2015 score was 52 for U.S. children aged 9–13 (2015–2020 guideline data). (Dietary Guidelines for Americans, 2020-2025)
- Average HEI-2015 score was 51 for U.S. adolescents aged 14–18 (2015–2020 guideline data). (Dietary Guidelines for Americans, 2020-2025)
- Average HEI-2015 score was 56 for U.S. adults aged 19–30 (2015–2020 guideline data). (Dietary Guidelines for Americans, 2020-2025)
- Average HEI-2015 score was 59 for U.S. adults aged 31–59 (2015–2020 guideline data). (Dietary Guidelines for Americans, 2020-2025)
- Average HEI-2015 score was 63 for U.S. adults aged 60 and older (2015–2020 guideline data; U.S. adults aged 60+). (Dietary Guidelines for Americans, 2020-2025)
NHANES-based category estimates using the study’s AHA 2020 continuous diet score; category cut-points are not HEI scores.
Serial cross-sectional survey estimates; intermediate is the study’s AHA category.
The ideal category is defined by the AHA score used in the study, not by a universal clinical standard.
Change is reported by the study; it does not establish causation.
Change is reported by the study; category boundaries remained study-specific.
Small absolute prevalence; estimate includes the study’s 95% CI in the original report.
NHANES serial cross-sectional estimates; HEI measures alignment with Dietary Guidelines, not health outcomes directly.
Relative change calculated and reported by the study; it remains an observational survey trend.
AHA primary score categories, not HEI categories.
The score weights selected foods and nutrients; it is not interchangeable with HEI-2015.
A separate AHA score with a different maximum and component set.
Study-reported relative change; not a causal intervention effect.
Trend is from an analysis summarized in the official guidelines; HEI-2010 is an earlier index version.
Life-stage average shown in Dietary Guidelines chart; it is not an individual target or clinical diagnosis.
Life-stage average shown in Dietary Guidelines chart.
Diet quality trends by food component and age
- Among U.S. adults from 1999 to 2010, the AHEI-2010 sugar-sweetened-beverage and fruit-juice component score increased by 0.9 points (1999–2010). (Difference in diet quality trends…)
- The U.S. adult whole-fruit AHEI-2010 component score increased by 0.7 points from 1999 to 2010 (1999–2010; U.S. adults). (Difference in diet quality trends…)
- The U.S. adult whole-grain AHEI-2010 component score increased by 0.5 points from 1999 to 2010 (1999–2010; U.S. adults). (Difference in diet quality trends…)
- The U.S. adult polyunsaturated-fat AHEI-2010 component score increased by 0.5 points from 1999 to 2010 (1999–2010; U.S. adults). (Difference in diet quality trends…)
- The U.S. adult nuts-and-legumes AHEI-2010 component score increased by 0.4 points from 1999 to 2010 (1999–2010; U.S. adults). (Difference in diet quality trends…)
- Among U.S. adults, energy from high-quality carbohydrates increased from 7.42% to 8.65% of energy between 1999 and 2016 (1999–2016). (Difference in diet quality trends…)
- Among U.S. adults, energy from plant protein increased from 5.38% to 5.76% between 1999 and 2016 (1999–2016). (Difference in diet quality trends…)
- Among U.S. adults, saturated fat increased from 11.5% to 11.9% of energy between 1999 and 2016 (1999–2016). (Difference in diet quality trends…)
- Among U.S. adults, polyunsaturated fat increased from 7.58% to 8.23% of energy between 1999 and 2016 (1999–2016). (Difference in diet quality trends…)
A higher component score reflects lower intake for this moderation component; the study is serial cross-sectional.
Component-score trend, not a direct grams-per-day estimate.
Component score is energy-adjusted within the index; it is not a population percentage.
Component-score trend, not a direct servings-per-day estimate.
High-quality carbohydrate classification follows the study; 24-hour recalls are subject to reporting error.
Study-defined plant-protein estimate from serial dietary recalls.
Small population-average change; estimates rely on dietary recall data.
Estimates rely on dietary recall data and are not a measure of total diet quality by themselves.
Dietary risk statistics for deaths and disease burden
- Dietary risks were associated with 11 million deaths globally in 2017 (95% UI 10–12 million) (Global adults). (Health effects of dietary risks…)
- Dietary risks accounted for 22% of all adult deaths globally in 2017 (95% UI 21%–24%) (Global adults). (Health effects of dietary risks…)
- Dietary risks were associated with 255 million DALYs globally in 2017 (95% UI 234–274 million) (Global adults). (Health effects of dietary risks…)
- Dietary risks accounted for 15% of all adult DALYs globally in 2017 (95% UI 14%–17%) (Global adults). (Health effects of dietary risks…)
- A diet high in sodium was associated with 3 million deaths globally in 2017 (95% UI 1–5 million). (Health effects of dietary risks…)
- A diet high in sodium was associated with 70 million DALYs globally in 2017 (95% UI 34–118 million). (Health effects of dietary risks…)
- Low whole-grain intake was associated with 3 million deaths globally in 2017 (95% UI 2–4 million). (Health effects of dietary risks…)
- Low whole-grain intake was associated with 82 million DALYs globally in 2017 (95% UI 59–109 million). (Health effects of dietary risks…)
- Low fruit intake was associated with 2 million deaths globally in 2017 (95% UI 1–4 million). (Health effects of dietary risks…)
- Low fruit intake was associated with 65 million DALYs globally in 2017 (95% UI 41–92 million). (Health effects of dietary risks…)
- Low whole-grain intake was the leading dietary risk for deaths in 16 of the 21 GBD regions in 2017. (Health effects of dietary risks…)
- Low whole-grain intake was the leading dietary risk for DALYs in 17 of the 21 GBD regions in 2017. (Health effects of dietary risks…)
- China had the highest age-standardized diet-related cardiovascular mortality rate in 2017 at 299 deaths per 100,000 people (95% UI 275–324). (Health effects of dietary risks…)
- Egypt had the highest age-standardized diet-related DALY rate in 2017 at 10,811 DALYs per 100,000 people (95% UI 9,577–12,209). (Health effects of dietary risks…)
GBD comparative-risk estimate; association and attributable burden do not prove that each death was caused by one food.
Attributable-fraction model with uncertainty interval.
DALYs combine years lived with disability and years of life lost; GBD model estimate.
GBD dietary-risk estimate; it is not a count of deaths with sodium recorded as the sole cause.
GBD comparative-risk estimate with wide uncertainty interval.
GBD estimate of attributable burden, not a direct mortality registry category.
GBD comparative-risk estimate with uncertainty interval.
GBD estimate of attributable burden.
Leading-risk ranking depends on GBD definitions, comparative risk distributions, and model uncertainty.
Leading-risk ranking depends on GBD definitions and model uncertainty.
Age-standardized GBD estimate; it is not the crude death rate.
Age-standardized GBD estimate with uncertainty interval.
Diet quality statistics for cardiovascular and mortality outcomes
- A 20-percentile improvement in diet-quality score was associated with an 8%–17% lower risk of total mortality across three diet indices (Follow-up cohorts; publication 2017; Prospective cohort populations). (Association of Changes in Diet…)
- A 20-percentile improvement in AHEI or alternate Mediterranean score was associated with a 7%–15% lower risk of cardiovascular mortality (Follow-up cohorts; publication 2017; Prospective cohort populations). (Association of Changes in Diet…)
- In a 77,004-person UK Biobank analysis, higher diet quality was associated with lower all-cause mortality regardless of genetic cardiovascular-risk level (UK Biobank follow-up; publication 2021; UK Biobank adults). (Diet quality indices, genetic risk…)
Observational associations; a percentile-score change is not a prescribed diet intervention.
Observational associations and residual confounding are possible.
Cohort association; the statement does not quantify a causal effect or guarantee benefit for an individual.