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. 2015 Mar;3(3):e132-42.
doi: 10.1016/S2214-109X(14)70381-X.

Dietary quality among men and women in 187 countries in 1990 and 2010: a systematic assessment

Affiliations

Dietary quality among men and women in 187 countries in 1990 and 2010: a systematic assessment

Fumiaki Imamura et al. Lancet Glob Health. 2015 Mar.

Abstract

Background: Healthy dietary patterns are a global priority to reduce non-communicable diseases. Yet neither worldwide patterns of diets nor their trends with time are well established. We aimed to characterise global changes (or trends) in dietary patterns nationally and regionally and to assess heterogeneity by age, sex, national income, and type of dietary pattern.

Methods: In this systematic assessment, we evaluated global consumption of key dietary items (foods and nutrients) by region, nation, age, and sex in 1990 and 2010. Consumption data were evaluated from 325 surveys (71·7% nationally representative) covering 88·7% of the global adult population. Two types of dietary pattern were assessed: one reflecting greater consumption of ten healthy dietary items and the other based on lesser consumption of seven unhealthy dietary items. The mean intakes of each dietary factor were divided into quintiles, and each quintile was assigned an ordinal score, with higher scores being equivalent to healthier diets (range 0-100). The dietary patterns were assessed by hierarchical linear regression including country, age, sex, national income, and time as exploratory variables.

Findings: From 1990 to 2010, diets based on healthy items improved globally (by 2·2 points, 95% uncertainty interval (UI) 0·9 to 3·5), whereas diets based on unhealthy items worsened (-2·5, -3·3 to -1·7). In 2010, the global mean scores were 44·0 (SD 10·5) for the healthy pattern and 52·1 (18·6) for the unhealthy pattern, with weak intercorrelation (r=-0·08) between countries. On average, better diets were seen in older adults compared with younger adults, and in women compared with men (p<0·0001 each). Compared with low-income nations, high-income nations had better diets based on healthy items (+2·5 points, 95% UI 0·3 to 4·1), but substantially poorer diets based on unhealthy items (-33·0, -37·8 to -28·3). Diets and their trends were very heterogeneous across the world regions. For example, both types of dietary patterns improved in high-income countries, but worsened in some low-income countries in Africa and Asia. Middle-income countries showed the largest improvement in dietary patterns based on healthy items, but the largest deterioration in dietary patterns based on unhealthy items.

Interpretation: Consumption of healthy items improved, while consumption of unhealthy items worsened across the world, with heterogeneity across regions and countries. These global data provide the best estimates to date of nutrition transitions across the world and inform policies and priorities for reducing the health and economic burdens of poor diet quality.

Funding: The Bill & Melinda Gates Foundation and Medical Research Council.

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Figures

Figure 1
Figure 1
Global dietary patterns among men and women in 187 countries in 2010 Values represent degrees of adherence to each dietary pattern, ranging from 0 (least healthy) to 100 (most healthy).
Figure 2
Figure 2
Dietary pattern among men and women in 187 countries in 2010 based on greater consumption of ten more healthy items Values represent degrees of adherence to each dietary pattern, ranging from 0 (least healthy) to 100 (most healthy). 187 countries are ordered by scores among adults aged 20–29 years. Lines show error bars for each country, which represent the lower side of the 95% uncertainty interval for the lowest age-specific estimate and the upper side of the 95% uncertainty interval for the highest age-specific estimate.
Figure 3
Figure 3
Dietary pattern among men and women in 187 countries in 2010 based on less consumption of seven unhealthy items Values represent degrees of adherence to each dietary pattern, ranging from 0 (least healthy) to 100 (most healthy). 187 countries are ordered by scores among adults aged 20–29 years. Lines show error bars for each country, which represent the lower side of the 95% uncertainty interval for the lowest age-specific estimate and the upper side of the 95% uncertainty interval for the highest age-specific estimate.
Figure 4
Figure 4
Changes in dietary patterns from 1990 to 2010 among men and women in 187 countries Top: changes in dietary pattern scores based on greater consumption of ten healthful foods and nutrients. Middle: changes in dietary pattern scores based on less consumption of seven unhealthful foods and nutrients. Bottom: changes in dietary pattern scores based on both healthful and unhealthful foods and nutrients. Values represent degrees of adherence to each dietary pattern, ranging from 0 (least healthful) to 100 (most healthful). Scores in 1990 were standardised to age and sex distribution in 2010.

Comment in

  • Evaluating trends in global dietary patterns.
    La Vecchia C, Serra Majem L. La Vecchia C, et al. Lancet Glob Health. 2015 Mar;3(3):e114-5. doi: 10.1016/S2214-109X(15)70011-2. Lancet Glob Health. 2015. PMID: 25701983 No abstract available.
  • Global trends in dietary quality.
    Mullie P, Autier P. Mullie P, et al. Lancet Glob Health. 2015 Oct;3(10):e592. doi: 10.1016/S2214-109X(15)00081-9. Lancet Glob Health. 2015. PMID: 26385295 No abstract available.
  • Global trends in dietary quality.
    Hambleton IR, Howitt C, Rose AM, Samuels TA, Unwin N. Hambleton IR, et al. Lancet Glob Health. 2015 Oct;3(10):e593. doi: 10.1016/S2214-109X(15)00082-0. Lancet Glob Health. 2015. PMID: 26385296 No abstract available.

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References

    1. Lim SS, Vos T, Flaxman AD. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012;380:2224–2260. - PMC - PubMed
    1. Lopez AD, Mathers CD, Ezzati M, Jamison DT, Murray CJL. In: Global Burden of Disease and Risk Factors. Lopez AD, Mathers CD, Ezzati M, Jamison DT, Murray CJL, editors. The International Bank for Reconstruction and Development/The World Bank Group; Washington, DC: 2006. Measuring the global burden of disease and risk factors, 1990–2001. - PubMed
    1. De Onis M, Blössner M, Borghi E, Frongillo EA, Morris R. Estimates of global prevalence of childhood underweight in 1990 and 2015. JAMA. 2004;291:2600–2606. - PubMed
    1. Lozano R, Naghavi M, Foreman K. Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012;380:2095–2128. - PMC - PubMed
    1. Keats S, Wiggins S. Future diets: implications for agriculture and food prices. The Overseas Development Institute; London: 2014.

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