ArticleInternational journal of public health2017
Cancer time trend in a population following a socio-economic transition: results of age-period-cohort analysis.
Article in International journal of public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed, 7 citations in OpenAlex.
- Water Quality and Mortality from Coronary Artery Disease in Sardinia: A Geospatial Analysis.Nutrients · 2021Article
- Generational differences in longitudinal blood pressure trajectories by geographic region during socioeconomic transitions in China.International journal of public health · 2019Article
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo examine cancer trend using age-period-cohort analysis with a cohort of patients in Sardinia, Italy, where epidemiological transition occurred between 1950 and 1960.
methodsPoisson log-linear regression models were used to analyze time trend in patients undergoing upper endoscopy between 1995 and 2013.
resultsA total of 10,546 clinical records (62.2% women) were retrieved. In 541 patients (5.1%), a diagnosis of cancer was reported, more often in men (5.5%) than in women (4.9%). Age and birth cohort were significantly associated with cancer rate according to age-period-cohort analysis (p < 0.0001), whereas the effect of time period was negligible (p = 0.875). An upward trend for all cancers was observed in the younger generations (7.15% before 1950, 8.85% between 1950 and 1960, and 10.7% after 1960).
conclusionsPopulation aging and increased exposure to cancer risk factors after epidemiological transition were the major determinants associated with cancer in this Sardinian cohort, whereas time period had no effect, ruling out any variation in diagnostic accuracy. These results may facilitate the provision of preventive measures by the health care system, and improve population-tailored cancer screening strategies.
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