Evidence map›Paper›PMID 38253455›Full record

ArticleBMJ open2024

How prices and income influence global patterns in saturated fat intake by age, sex and world region: a cross-sectional analysis of 160 countries.

Amelia Ahles, Andrew Muhammad, Jacqueline N Yenerall, Julia Reedy, Peilin Shi, Jianyi Zhang, Frederick Cudhea, Josh Erndt-Marino, Victoria Miller, Dariush Mozaffarian and 1 more

Abstract read
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Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Amelia AhlesTexas A&M University, College Station, Texas, USA.ORCID 0000-0002-3591-5986
Andrew MuhammadThe University of Tennessee Institute of Agriculture, Knoxville, Tennessee, USA amuhamm4@utk.edu.ORCID 0000-0002-4825-9324
Jacqueline N YenerallThe University of Tennessee Institute of Agriculture, Knoxville, Tennessee, USA.
Julia ReedyFriedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts, USA.
Peilin ShiFriedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts, USA.
Jianyi ZhangFriedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts, USA.
Frederick CudheaFriedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts, USA.
Josh Erndt-MarinoFriedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts, USA.
Victoria MillerFriedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts, USA.
Dariush MozaffarianFriedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts, USA.
Global Dietary Database

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWhen considering proposals to improve diets, it is important to understand how factors like price and income can affect saturated fat (SF) intake and demand. In this study, we examine and estimate the influence of price and income on intake across 160 countries, by age and sex, and derive sensitivity measures (price elasticities) that vary by age, sex and world region.

designWe econometrically estimate intake responsiveness to income and prices across countries, accounting for differences by world region, age and sex. Intake data by age, sex and country were obtained from the 2018 Global Dietary Database. These data were then linked to global price data for select food groups from the World Bank International Comparison Programme and income data from the World Development Indicators Databank (World Bank).

resultsIntake differences due to price were highly significant, with a 1% increase in price associated with a lower SF intake (% energy/d) of about 4.3 percentage points. We also find significant differences across regions. In high-income countries, median (age 40) intake reductions were 1.4, 0.8 and 0.2 percentage points, given a 1% increase in the price of meat, dairy, and oils and fats, respectively. Price elasticities varied with age but not sex. Intake differences due to income were insignificant when regional binary variables were included in the analysis.

conclusionThe results of this study show heterogeneous associations among prices and intake within and across countries. Policymakers should consider these heterogeneous effects as they address global nutrition and health challenges.

Indexed as

IncomeMeatAdultCross-Sectional StudiesDatabases, FactualElasticityHumansdecision makinghealth economicsobesity

Identifiers

PMID38253455
PMCPMC10806819

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.