Evidence mapPaperPMID 35252289Full record

SynthesisFrontiers in nutrition2022

Dietary Transitions and Health Outcomes in Four Populations - Systematic Review.

Mariel Pressler, Julie Devinsky, Miranda Duster, Joyce H Lee, Courtney S Glick, Samson Wiener, Juliana Laze, Daniel Friedman, Timothy Roberts, Orrin Devinsky

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

  1. Pooled it
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  7. Review
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  10. Dietary patterns in Tanzania's transitioning rural and urban areas.Journal of health, population, and nutrition · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Mariel PresslerDepartment of Neurology, NYU Grossman School of Medicine, New York, NY, United States.
Julie DevinskyDepartment of Neurology, NYU Grossman School of Medicine, New York, NY, United States.
Miranda DusterDepartment of Neurology, NYU Grossman School of Medicine, New York, NY, United States.
Joyce H LeeDepartment of Neurology, NYU Grossman School of Medicine, New York, NY, United States.
Courtney S GlickDepartment of Neurology, NYU Grossman School of Medicine, New York, NY, United States.
Samson WienerDepartment of Neurology, NYU Grossman School of Medicine, New York, NY, United States.
Juliana LazeDepartment of Neurology, NYU Grossman School of Medicine, New York, NY, United States.
Daniel FriedmanDepartment of Neurology, NYU Grossman School of Medicine, New York, NY, United States.
Timothy RobertsNYU Health Sciences Library, New York, NY, United States.
Orrin DevinskyDepartment of Neurology, NYU Grossman School of Medicine, New York, NY, United States.
New York University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

importanceNon-communicable chronic diseases (NCDs) such as obesity, type 2 diabetes, heart disease, and cancer were rare among non-western populations with traditional diets and lifestyles. As populations transitioned toward industrialized diets and lifestyles, NCDs developed.

objectiveWe performed a systematic literature review to examine the effects of diet and lifestyle transitions on NCDs. EVIDENCE REVIEW: We identified 22 populations that underwent a nutrition transition, eleven of which had sufficient data. Of these, we chose four populations with diverse geographies, diets and lifestyles who underwent a dietary and lifestyle transition and explored the relationship between dietary changes and health outcomes. We excluded populations with features overlapping with selected populations or with complicating factors such as inadequate data, subgroups, and different study methodologies over different periods. The selected populations were Yemenite Jews, Tokelauans, Tanushimaru Japanese, and Maasai. We also review transition data from seven excluded populations (Pima, Navajo, Aboriginal Australians, South African Natal Indians and Zulu speakers, Inuit, and Hadza) to assess for bias.

findingsThe three groups that replaced saturated fats (SFA) from animal (Yemenite Jews, Maasai) or plants (Tokelau) with refined carbohydrates had negative health outcomes (e.g., increased obesity, diabetes, heart disease). Yemenites reduced SFA consumption by >40% post-transition but men's BMI increased 19% and diabetes increased ~40-fold. Tokelauans reduced fat, dramatically reduced SFA, and increased sugar intake: obesity and diabetes rose. The Tanushimaruans transitioned to more fats and less carbohydrates and used more anti-hypertensive medications; stroke and breast cancer declined while heart disease was stable. The Maasai transitioned to lower fat, SFA and higher carbohydrates and had increased BMI and diabetes. Similar patterns were observed in the seven other populations.

conclusionThe nutrient category most strongly associated with negative health outcomes - especially obesity and diabetes - was sugar (increased 600-650% in Yemenite Jews and Tokelauans) and refined carbohydrates (among Maasai, total carbohydrates increased 39% in men and 362% in women), while increased calories was less strongly associated with these disorders. Across 11 populations, NCDs were associated with increased refined carbohydrates more than increased calories, reduced activity or other factors, but cannot be attributed to SFA or total fat consumption.

Indexed as

diabetesnutrition transitionobesityrefined carbohydrateswestern diseases

Identifiers

PMID35252289
PMCPMC8892920
OpenAlexW4210882848

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.