To examine (a) the association between metabolic factors and chronic musculoskeletal pain (CMP), (b) metabolic predictors of CMP 10years later, and (c) the association and evolution of metabolic factors across different CMP trajectory groups. Data from the longitudinal Doetinchem Cohort Study were used. We used round 4 (2003-2007), with 4519 participants aged 36-75years, as the baseline for the present study, with follow-up measurements in round 5 (2008-2012), and 6 (2013-2017), including self-reported pain and metabolic factors, which were measured either via self-report or physical assessment. For the three research aims, (a) generalized linear mixed-effects models, (b) binary logistic regression analyses and (c) linear mixed-effects models were used. (a) Female sex, higher age, presence of diabetes, higher BMI, lower diastolic blood pressure (BP), and elevated cystatin C were significantly associated with CMP in multivariable logistic analyses. (b) Female sex and elevated BMI were predictors of CMP 10years later. (c) Those pain-free for 10years had the lowest BMI levels compared to other CMP groups (development, recovery, persistent, and recurrent CMP). BMI was higher in the persistent CMP group than in the development and recovery groups. The pain-free group had higher diastolic BP compared to those in the persistent CMP group. Participants in the persistent CMP group had higher Cystatin C levels than the free, development and recovery CMP groups. Regarding the evolution of metabolic factors over time, BMI, glucose and diastolic BP evolved differently across the CMP trajectory groups. Our findings indicate the importance of metabolic factors, especially BMI, in the onset and progression of CMP. These findings underscore the need to consider metabolic health in the prevention and treatment of CMP. Key Points • Metabolic factors are associated with the presence of chronic musculoskeletal pain. • Female sex and elevated BMI are predictive of musculoskeletal pain (MP) 10 years later. • Metabolic factors evolve differently over time across different pain trajectory groups, with variations in BMI, glucose, and diastolic blood pressure.
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