Evidence map›Paper›PMID 33653403›Full record

ArticleArthritis research & therapy2021

Incident gout and weight change patterns: a retrospective cohort study of US adults.

Lu Bai, Jian-Bo Zhou, Tao Zhou, Roger B Newson, Marly Augusto Cardoso

Abstract read
In one paragraph

Article in Arthritis research & therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
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1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Lu Bai *Hospice & Palliative Care Unit, Haidian Section of Peking University Third Hospital, Beijing, China.
Jian-Bo Zhou *Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China. jbzhou@ccmu.edu.cn.ORCID 0000-0003-2507-9192
Tao ZhouSchool of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, 510006, Guangdong, China.
Roger B NewsonDepartment of Primary Care and Public Health, Imperial College London, London, UK.
Marly Augusto CardosoDepartment of Nutrition, School of Public Health, University of Sao Paulo, Sao Paulo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough the relationship between obesity and incident gout has been clarified, the influence of weight changes during the transition from early adulthood to midlife and the different weight change patterns in specific age ranges on the incidence of gout in later life remain unknown. Therefore, we aimed to investigate the association between weight change patterns across adulthood and incident gout.

methodsUsing data from the National Health and Nutrition Examination Survey (NHANES), we categorized individuals into four weight change patterns: those who remained obese (stable obese), those who moved from a non-obese body mass index (BMI) to an obese BMI (gaining), those who moved from an obese BMI to a non-obese BMI (losing), and those who remained non-obese (stable non-obese). Incident gout reflected its occurrence over the 10-year follow-up from the recalled midlife weight measure to the time of this survey. Hazard ratios (HRs) and 95% confidence intervals relating weight change patterns to incident gout over the 10-year follow-up period were calculated using Cox models adjusted for covariates. The hypothetical population attributable fraction (PAF) for the weight change patterns was calculated.

resultsAmong our sample of adults aged 40-74 years at their midlife weight measure (n = 11,079), 320 developed gout. The highest risk of incident gout was found for participants with the stable obese pattern (HR 1.84; 1.08-3.14) and not for participants who remained stable non-obese during adulthood. Moreover, gaining weight was a significant risk factor for incident gout (HR 1.65; 1.19-2.29). No significant associations were found between losing weight change patterns and the risk of gout during the study period. If participants who gained weight had become non-obese during the 10-year follow-up, an estimated 3.2% (95% CI 0-6.3) of observed gout cases could have been averted. In addition, if the population had maintained a normal BMI, 32.9% (95% CI 18.2-44.9) cases could have been prevented during the 10 years.

conclusionsGaining weight over adulthood was associated with an increased risk of gout. These findings have highlighted that maintaining non-obese weight and weight loss across adulthood is essential for the prevention and treatment of gout in adult life.

Indexed as

GoutAdultBody Mass IndexBody WeightHumansIncidenceNutrition SurveysRetrospective StudiesRisk FactorsCohortGoutWeight change

Identifiers

PMID33653403
PMCPMC7923519

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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.