Key result
Sub-healthy lifestyle is not linked to increased obesity or hypertension risk in Chinese adolescents.
Why the study?
Uncertainty remains regarding the magnitude of associations between lifestyle behaviors and cardiovascular factors in adolescents.
Does a sub-healthy lifestyle pattern increase cardiometabolic risks in adolescents compared to a healthy lifestyle pattern?
Cross-Sectional (n=895)
No
Does a sub-healthy lifestyle pattern increase cardiometabolic risks in adolescents compared to a healthy lifestyle pattern?
Odds Ratio: 1.11 (95% CI 0.78–1.57)
Absolute Event Rate: 5.6% vs 5.6%
p-value: p=0.569
A cross-sectional study of Chinese adolescents found that lifestyle patterns identified by latent class analysis were not significantly associated with most cardiometabolic abnormalities, except for a small difference in waist circumference.
Should not yet change adolescent lifestyle counseling; leaves open longitudinal validation of pattern-based cardiometabolic risk.
Background: Unhealthy dietary and lifestyle behaviors are associated with a higher prevalence of non-communicable chronic diseases and higher mortality in adults. However, there remains some uncertainty about the magnitude of the associations between lifestyle behaviors and cardiovascular factors in adolescents. Methods: We conducted a school-based cross-sectional study of 895 Chinese adolescents aged 15–19 years. They participated in a questionnaire survey, physical examination, and blood sample collection. Latent class analysis (LCA) was used to identify heterogeneous subgroups of lifestyle behaviors. A set of 12 latent class indicators, which reflected lifestyle behaviors including dietary habits, physical activity, sleep duration, screen time, and pressure perception, were included in the analysis. Logistic regression analysis was performed to determine whether the derived classes were related to a cardiometabolic risk. Results: In total, 13.7 and 5.6% of the participants were overweight and obese, respectively, and 8.4 and 14.1% reported having pre-hypertension and hypertension, respectively. A two-class model provided the best fit with a healthy lifestyle pattern (65.8%) and a sub-healthy lifestyle pattern (34.2%). There were more female participants with a healthy lifestyle (56.2 vs. 43.8%), whereas there were more males with a sub-healthy lifestyle (45.4 vs. 54.6%), (all P = 0.002). Increased risk of cardiometabolic abnormality (BMI categories, blood pressure and lipids) was not significant across lifestyle patterns, except for waist circumference (70.5 vs 69.1 cm, P = 0.044). There was no significant difference in physical activity and intake of fruit and vegetable between the two patterns. Conclusion: Primary prevention based on lifestyle modification should target patterns of behaviors at high risk in adolescents. Due to the complex effect of lifestyle clusters on cardiometabolic risks, well-designed and prospective studies in adolescents are needed in the future.
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Zhao et al. (2021) conducted a cross-sectional in Cardiometabolic risks (n=895). Sub-healthy lifestyle pattern vs. Healthy lifestyle pattern was evaluated on Obesity (OR 1.11, 95% CI 0.78-1.57, p=0.569). A sub-healthy lifestyle pattern was not significantly associated with an increased risk of obesity (OR 1.11) or hypertension compared to a healthy lifestyle pattern in Chinese adolescents.
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