ArticleJournal of racial and ethnic health disparities2026
Symptom Severity Profiles and their Associated Factors in Minoritized Men with Chronic Conditions.
Article in Journal of racial and ethnic health disparities, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Individuals with chronic conditions have persistent, co-occurring symptoms affecting quality of life. Understanding symptom severity susceptibilities is critical for early risk identification, but gaps remain among racial and ethnic minority men with chronic conditions. As such, this study identifies symptom severity profiles in non-Hispanic Black and Hispanic men based on five common symptoms (fatigue, pain, shortness of breath, sleep disturbance, depression) and its associated demographic, clinical, and modifiable sociobehavioral risk factors. Online survey data from 1,982 men aged 40 and older with chronic conditions was analyzed using latent profile analysis (LPA) to identify symptom severity profiles. LPA revealed three symptom severity profiles: lowest (63.4%); moderate (13.9%); and highest (22.7%). Multinomial and binary logistic regressions were used to analyze demographic, clinical, social, and behavioral factors associated with symptom severity profiles. Compared to men in the lowest symptom severity profile, men in the highest symptom severity profile were younger (OR = 0.98, p < 0.001), had lower incomes (OR = 0.95, p = 0.028), had more comorbidities (OR = 1.92, P = 0.001), had more medications (OR = 1.09, P = 0.012), reported current tobacco (OR = 1.55, P < 0.001) or cannabis (OR = 1.45, P = 0.011) use, experienced more social disconnectedness (OR = 1.34, P < 0.001), and had poorer self-management efficacy (OR = 0.93, P < 0.001). Compared to men in the moderate profile, men in the highest profile had lower education (OR = 0.53, P = 0.002), more comorbidities (OR = 1.77, P = 0.018), higher medication use (OR = 1.11 P = 0.009), and increased cannabis use (OR = 1.56, P = 0.017). Findings highlight diverse symptom experiences and key factors that can be targeted in prevention and treatment strategies to reduce symptom severity within these subpopulations.
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