Objectives: Cognitive impairment has emerged as a major contributing factor to mortality for older adults. Identifying the strong modifiable health metrics against mortality is of high priority, especially in this high-risk population. Methods: This population-based study used data of US adults aged≥60 years old from the National Health and Nutrition Examination Survey 2011–2014 cycles. De-identified data for participants who completed cognitive function test were extracted. Mortality data was obtained by linking to the 2019 public-use linked mortality file. Results: Participants with low global cognition had higher risk of all-cause mortality (HR = 1.46; 95%CI, 1.04–2.05). The highest prevalence of ideal level of health metrics was observed for sleep duration (54.36% vs. 62.37%), and the lowest was noted for blood pressure (12.06% vs. 21.25%) for participants with low and average to high global cognition, respectively. Ideal status of physical activity and diet quality were significantly associated with all-cause mortality among participants with low global cognition (HR = 0.48, 95%CI: 0.28–0.82; HR = 0.63, 95%CI: 0.43–0.95). The corresponding population-attributable fractions were 26.58 and 15.90%, respectively. Conclusion: Low cognitive function was associated with increased risk of all-cause death for older adults. Attainment of healthy metrics, especially sufficient physical activity, consuming healthy diet and being never smoked, provided strong protection against death risk.
CITATION STYLE
Wang, W., Sun, P., Lv, T., & Li, M. (2024). The impact of modifiable health metrics on mortality for older adults with low cognitive function. Frontiers in Public Health, 12. https://doi.org/10.3389/fpubh.2024.1304876
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