Evidence map›Paper›PMID 38677521›Full record

ArticleThe American journal of clinical nutrition2024

Associations of Lifestyle and Genetic Risks with Obesity and Related Chronic Diseases in the UK Biobank: A Prospective Cohort Study.

Yanbo Zhang, Yang Li, Rita Peila, Tao Wang, Xiaonan Xue, Robert C Kaplan, Andrew J Dannenberg, Qibin Qi, Thomas E Rohan

Open access · greenAbstract read
In one paragraph

Article in The American journal of clinical nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
6.6field-weighted citation impact, top 3% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Yanbo ZhangDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, United States.
Yang LiDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, United States.
Rita PeilaDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, United States.
Tao WangDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, United States.
Xiaonan XueDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, United States.
Robert C KaplanDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, United States; Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, United States.
Andrew J DannenbergEmerald BioVentures, New York, NY, United States.
Qibin QiDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, United States. Electronic address: qibin.qi@einsteinmed.edu.
Thomas E RohanDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, United States. Electronic address: thomas.rohan@einsteinmed.edu.
Albert Einstein College of Medicine · USBioVentures (United States) · US

Funding

DIETARY PATTERNS AND RISK OF CARDIOVASCULAR DISEASER01HL060712 · NHLBI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI HU, FRANK B, QI, QIBIN · 1998 to 2021
$8.0M
Ultra-processed Foods, Diet Quality, and Cardiometabolic Health: An Inter-disciplinary Trans-Atlantic Collaborative ProjectR01DK120870 · NIDDK · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Qibin Qi, Qi Sun · 2019 to 2026
$4.2M
Human Gut Microbiome and Incident Diabetes Risk in U.S. PopulationsR01DK126698 · NIDDK · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI QI, QIBIN, SUN, QI · 2021 to 2024
$2.5M
Metabolomics signatures underlying diet, lifestyle and gut microbiota for diabetesR01DK119268 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI QI, QIBIN · 2019 to 2022
$2.4M
NHLBI NIH HHS R01 HL060712NIDDK NIH HHS R01 DK119268NIDDK NIH HHS R01 DK120870NIDDK NIH HHS R01 DK126698
6 · The paper itself

Abstract

backgroundInterplay between lifestyle risk scores (LRSs) and genetic risk scores (GRSs) on obesity and related chronic diseases are underinvestigated and necessary for understanding obesity causes and developing prevention strategies.

objectivesThis study aimed to investigate independent and joint associations and interactions of LRS and GRS with obesity prevalence and risks of diabetes, cardiovascular disease (CVD), and obesity-related cancer.

methodsIn this cohort study of 444,957 UK Biobank participants [age: 56.5 ± 8.1 y; BMI (in kg/m

resultsThe LRS and GRS were independently positively associated with all outcomes. Additive interactions of LRS and GRS were observed for all outcomes (P < 0.021). Comparing the top with bottom LRS quintile, prevalence differences (95% CIs) for obesity were 17.8% (15.9%, 19.7%) in the top GRS quintile and 10.7% (8.3%, 13.1%) in the bottom GRS quintile; for diabetes, CVD, and obesity-related cancer, incidence rate differences associated with per SD increase in LRS were greater in the top than that in the bottom GRS quintile. Participants from top quintiles of both LRS and GRS had 6.16-fold, 3.81-fold, 1.56-fold, and 1.44-fold higher odds/risks of obesity, diabetes, CVD, and obesity-related cancer, respectively, than those from bottom quintiles of both scores.

conclusionsHigher LRS was associated with higher obesity prevalence and risks of related chronic diseases regardless of GRS, highlighting the broad benefits of healthy lifestyles. Additive gene-lifestyle interactions emphasize the public health importance of lifestyle interventions among people with high genetic risks.

Indexed as

Biological Specimen BanksLife StyleObesityAdultAgedBody Mass IndexCardiovascular DiseasesChronic DiseaseCohort StudiesDiabetes MellitusFemaleGenetic Predisposition to DiseaseHumansMaleMiddle AgedNeoplasmscancerdiabetesinteractionlifestyleobesitypolygenic risk score

Identifiers

PMID38677521
PMCPMC11251215
OpenAlexW4395469469

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.