Dataset Information

Relationship of weight change patterns from young to middle adulthood with incident rheumatoid arthritis and osteoarthritis: a retrospective cohort study.

ABSTRACT:

Background

The relationship between weight change patterns and arthritis onset, specifically rheumatoid arthritis (RA) and osteoarthritis (OA), is unclear. We examined the association between weight changes from young adulthood to midlife and arthritis onset.

Methods

Using data from NHANES 1999-2018, participants with self-reported arthritis were selected. Age at diagnosis determined arthritis onset. Weight change patterns were based on BMI at age 25 and 10 years before the survey. Patterns were categorized as stable non-obese, non-obese to obese, obese to non-obese, and stable obese. Cox regression models and restricted cubic spline (RCS) analysis were employed, calculating hazard ratios (HRs) and 95% confidence intervals (CIs) considering covariates.

Results

Out of 20,859 participants (male 11,017, 52.82%), 4922 developed arthritis over a mean 8.66-year follow-up. Compared to stable non-obese individuals, the HRs for arthritis were 1.55 (95% CI=1.45 to 1.66, P < 0.0001) for non-obese to obese and 1.74 (95% CI=1.56 to 1.95, P < 0.0001) for stable obese. Those gaining 10-20 kg had a HR of 1.33 (95% CI=1.22 to 1.46, P < 0.0001), and gains >20 kg had a HR of 1.56 (95% CI=1.42 to 1.71, P < 0.0001), compared to stable weight (change within 2.5 kg). Identical results observed for OA and RA. RCS showed a nonlinear relationship between weight change and arthritis (all P < 0.01).

Conclusions

Stable obesity and weight gain during adulthood increase arthritis risk. Maintaining a non-obese weight throughout adult years might reduce arthritis risk in later life.

SUBMITTER: Nan K

PROVIDER: S-EPMC10791826 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature

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Publications

Relationship of weight change patterns from young to middle adulthood with incident rheumatoid arthritis and osteoarthritis: a retrospective cohort study.

Nan Kai K Zhang Ming M Hu Shouye S Shao Xiaolong X Liu Lin L Zhi Yang Y Xu Peng P

Frontiers in endocrinology 20240103

<h4>Background</h4>The relationship between weight change patterns and arthritis onset, specifically rheumatoid arthritis (RA) and osteoarthritis (OA), is unclear. We examined the association between weight changes from young adulthood to midlife and arthritis onset.<h4>Methods</h4>Using data from NHANES 1999-2018, participants with self-reported arthritis were selected. Age at diagnosis determined arthritis onset. Weight change patterns were based on BMI at age 25 and 10 years before the survey ...[more]

PMID: 38234426

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Project description:ImportanceIn the United States, black individuals are twice as likely to develop type 2 diabetes compared with white individuals, and these disparities are particularly pronounced in young and middle age. Prior studies have identified differences in traditional risk factors that may be associated with racial disparities in diabetes incidence but have not simultaneously adjusted for risk factors measured across multiple domains (eg, the individual and the environment) and updated over time.ObjectiveTo determine the relative associations of modifiable biological, neighborhood, psychosocial, socioeconomic, and behavioral factors in young adulthood with the observed racial disparity in diabetes incidence between middle-aged black and white individuals.Design, setting, and participantsBlack and white men and women from the observational Coronary Artery Risk Development in Young Adults study, aged 18 to 30 years, without diabetes at baseline (1985-1986; N = 4251) were observed through 2015-2016. Sex-stratified multivariable-adjusted Cox proportional hazards modeling, with adjustment for time-updated covariates, was used to estimate risk for incident diabetes. Percent reduction in the β coefficient (the logarithm used to calculate the hazard ratio [HR]) was calculated to compare black to white participants.ExposuresSelf-identified race and factors including biological (eg, fasting glucose, body mass index), neighborhood (racial segregation and tract-level poverty), psychosocial (depressive symptoms), socioeconomic (eg, personal and parental educational attainment, current employment), and behavioral (eg, regular alcohol consumption, smoking) domains.Main outcomes and measuresIncident type 2 diabetes mellitus.ResultsThe mean (SD) age at baseline was 25 (3.6) years, 49% (n = 2066) of the sample was black, and 54% (n = 2304) were women. Over a mean follow-up of 24.5 years, 504 cases of incident diabetes were identified. Using sex-stratified multivariable-adjusted Cox proportional hazards models, black women and men were more likely to develop diabetes than white men and women (black women: HR, 2.86 [95% CI, 2.19-3.72] and risk difference [RD], 89 cases/1000 people [95% CI, 61-117]; black men: HR, 1.67 [95% CI, 1.28-2.17] and RD, 47 cases/1000 people [95% CI, 15-78]) after adjustment for age and center. Biological factors were most strongly associated with the disparity in diabetes risk between black and white individuals for women (percent reduction in β, 112%) and men (percent reduction in β, 86%). There was no longer disparity in diabetes risk between black and white middle-aged adults after adjustment for biological, neighborhood, psychosocial, socioeconomic, and behavioral factors measured over time (HR for women, 0.79 [95% CI, 0.55-1.14]; HR for men, 0.92 [95% CI, 0.62-1.38]).Conclusions and relevanceIn this cohort study comparing black and white participants, there was a statistically significant increased risk of incident type 2 diabetes among black women and men. However, after adjustment for modifiable risk factors during young adulthood, the disparity was no longer statistically significant.

Dataset Information

Relationship of weight change patterns from young to middle adulthood with incident rheumatoid arthritis and osteoarthritis: a retrospective cohort study.

Background

Methods

Results

Conclusions

Publications

Relationship of weight change patterns from young to middle adulthood with incident rheumatoid arthritis and osteoarthritis: a retrospective cohort study.

Similar Datasets

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