Association of Cantonese dietary patterns with mortality risk in older Chinese: a 16-year follow-up of a Guangzhou Biobank cohort study

Abstract

<p>Background: Evidence about the associations between Cantonese dietary patterns and mortality is scarce. We examined the prospective association of the dietary pattern with all-cause, cancer and cardiovascular disease (CVD) mortality in older Chinese. Methods: We included 19 598 participants of a Guangzhou Biobank cohort study aged 50+ years, who were recruited from 2003 to 2006 and followed up until July, 2022. The diet was assessed by using a 300-item validated food frequency questionnaire. The food items were collapsed into 27 food groups. Factor analysis (FA) was used to identify dietary patterns. Multivariable Cox regression produced hazard ratios (HRs) and 95% confidence intervals (CIs) for mortality. Results: During 305 410 person-years, 4966 deaths including 1971 CVD, 1565 cancer and 1436 other-causes occurred. Four dietary patterns were identified by FA. No association of the vegetable-based dietary pattern with all-cause, CVD and cancer mortality was found. Compared with the lowest quartile of the healthy Cantonese dietary pattern score, the highest quartile showed lower risks of all-cause (HR 0.86, 95% CI 0.80-0.94) and CVD mortality (HR 0.84, 95% CI 0.72-0.97). The highest quartile of the nut and fruit dietary pattern showed lower risks of all-cause (HR 0.92, 95% CI 0.85-0.99) and CVD mortality (HR 0.82, 95% CI 0.72-0.93), while the unhealthy western dietary pattern was associated with a higher risk of all-cause (HR 1.10, 95% CI 1.01-1.19) and cerebrovascular disease mortality (HR 1.28, 95% CI 1.03-1.58). Conclusion: We have first identified four dietary patterns based on the Cantonese cuisine and found that healthy Cantonese and nut and fruit dietary patterns were associated with lower risks of all-cause and CVD mortality, whereas the unhealthy western dietary pattern was associated with a higher risk of all-cause and cerebrovascular disease mortality.</p>