ArticleBiology of sex differences2020
Sex-specific clustering of metabolic risk factors and cancer risk: a longitudinal study in Iran.
Article in Biology of sex differences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Spatiotemporal variability of exposure to secondhand smoke in Iran during 2009-2020: a systematic review.Environmental science and pollution research international · 2021Pooled it
- Article
- Gender differences in changes in metabolic syndrome status and its components and risk of cardiovascular disease: a longitudinal cohort study.Cardiovascular diabetology · 2022Article
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3 authors.
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Abstract
backgroundCancer is a major cause of death in low- and middle-income countries. A large number of studies have shown that some of the metabolic risk factors (MRFs) tend to cluster in individuals. We examined the synergistic effects of multiple MRFs and cancer risk among Iranian adults.
methodsAmong 8593 (3929 men) participants aged ≥ 30 years, the self-organizing map (SOM) was applied to clustering of four MRFs including high fasting plasma glucose (HFPG), high total cholesterol (HTC), high systolic blood pressure (HSBP), and high body mass index (HBMI). The Cox proportional hazards model was used to investigate the association between clusters with cancer incidence during a median of 14.0 years of follow-up.
resultsDuring the study period, 265 new cases of cancer were identified among participants at risk. The incidence density rate was 2.5 per 1000 person years in total population. About 32 and 40% of men and women, respectively, had three or four MRFs. We identified seven clusters of MRFs in both men and women. In both genders, MRFs were clustered in those with older age. Further, inverse associations were found between current smoking in men, and education level and passive smoking in women and clustering of MRFs. In men, a cluster with 100% HSBP and HBMI had the highest risk for overall cancer. While, among women, a cluster with 100% HFPG and 93% HBMI yielded the highest risk for cancer. The risk was decreased when HBMI accompanied by HTC.
conclusionsClustering patterns may reflect underlying link between MRFs and cancer and could potentially facilitate tailored health promotion interventions.
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