During a median follow-up of 7.75 years, participants with scores ≥ 11 had a 65% lower risk of all-cause mortality compared to those with scores ≤ 4.
Life's Simple 7 (LS7) includes seven health metrics related to lifestyle and health status.
(LE8) adds sleep health, while (LC9) incorporates mental health.
The predictive performance of LS7, LE8, and LC9 for all-cause mortality was found to be nearly identical.
LS7 demonstrated slightly better predictive performance compared to LE8 and LC9 for all-cause mortality at 5 years.
Adding any of the three metrics to a baseline model significantly improved mortality predictions, but the improvements were marginal.
Simplified
BACKGROUND: Cardiovascular health (CVH) is a key determinant of mortality, but the comparative effectiveness of different CVH metrics remains uncertain. (LS7) evaluates seven domains: smoking, body mass index, physical activity, total cholesterol, blood pressure, fasting glucose, and diet. (LE8) adds sleep health, while (LC9) further includes mental health. This study aimed to assess whether the additional components in LE8 and LC9 enhance mortality prediction compared to LS7.
METHODS: Data from 22,382 participants in the NHANES 2005-2018 were analyzed. Cox proportional hazards regression models were used to evaluate the associations between the scores of these metrics and all-cause, cardio-cerebrovascular disease (CCD), and CVD mortality. The predictive performance of each metric was assessed via receiver operating characteristic (ROC) curves and area under the curve (AUC) values.
RESULTS: The participants had a mean age of 45.23 ± 0.23 years, and 51.53% were female. During a median follow-up of 7.75 (4.42-11.08) years, there were 1,483 all-cause deaths, 405 CCD deaths, and 337 CVD deaths. Compared with participants with LS7 scores ≤ 4, those with scores ≥ 11 had a 65% (HR = 0.35 [0.25-0.50]) lower risk of all-cause mortality, a 66% (HR = 0.34 [0.16-0.73]) lower risk of CCD mortality, and a 61% (HR = 0.39 [0.18-0.85]) lower risk of CVD mortality. Similar trends were observed for LE8 and LC9. The AUC for LS7 (0.68 [0.66-0.70]) was slightly greater than that for LE8 (0.67 [0.65-0.69], P = 0.007) and LC9 (0.67 [0.65-0.69], P = 0.019) in predicting all-cause mortality at 5 years; however, the overall predictive performance was nearly identical across all three metrics. Furthermore, the addition of LS7 (AUC = 0.84 [0.82-0.86], P < 0.001), LE8 (AUC = 0.84 [0.82-0.86], P < 0.001), and LC9 (AUC = 0.84 [0.83-0.86], P < 0.001) to the baseline model (AUC = 0.83 [0.82-0.85]) significantly improved all-cause mortality predictions at 5 years; however, the actual gains in predictive performance were marginal.
CONCLUSIONS: LS7, LE8, and LC9 all predict mortality effectively. Given its simpler scoring and fewer components, LS7 demonstrates comparable predictive performance to LE8 and LC9, making it a more practical tool for clinical and public health applications.
Key numbers
65%
Lower Risk of All-Cause Mortality
Participants with scores ≥ 11 vs. scores ≤ 4
0.68
AUC for
AUC values for , , and at 5 years
7.75 years
Median Follow-Up Period
Median follow-up duration for participants
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