Objectives: Human behaviors and blood pressure (BP) are closely intertwined, affecting health. However, few studies have demonstrated their complex relationships. Using network analysis, we aimed to untangle the intricate and potential causal relationships between BP and human instinctive behaviors, identifying potential action points for hypertension prevention and control. Study design: Cohort study. Methods: This study is based on two-wave data from 11,277 Chinese adults in the China Multi-Ethnic Cohort (CMEC) and an independent validation cohort of 21,947 adults from the Chinese Cohort of Working Adults (CCWA). We conducted a cross-sectional network analysis to estimate the interrelationships between measured BP and self-reported physical activity (PA), diet, and sleep. The centrality of each variable within the network was estimated using strength centrality index. Additionally, we performed a longitudinal network analysis to infer the potential causal relationships between BP and human instinctive behaviors in participants with normal or above-normal BP. Results: The network models suggested that BP exhibited negative associations with the dietary score (edge weight: -0.09) and sleep duration (-0.05). Non-sedentary behavior and dietary score were the most central variables, strongly connecting BP and other lifestyles. Higher BP predicted a poorer dietary score (beta = -0.21) in participants with above-normal BP. The effect of BP on dietary score was replicated in the validation cohort and validated by linear regression analysis. Conclusions: Non-sedentary behaviors and dietary behaviors may be the potential action points in promoting healthy behaviors and contributing to BP management. It is essential to manage individuals'' BP status, nonsedentary behaviors, and dietary behaviors to disrupt malignant cycles.
[1]Hong Kong Polytech Univ, Inst Disaster Management & Reconstruct, Sichuan Univ, Chengdu, Peoples R China.
[2]Sichuan Univ, West China Sch Publ Hlth, Chengdu, Peoples R China.
[3]Sichuan Univ, West China Hosp 4, Chengdu, Peoples R China.
[4]Kunming Med Univ, Sch Publ Hlth, Kunming, Yunnan, Peoples R China.
[5]Baoshan Coll Tradit Chinese Med, Baoshan 678000, Yunnan, Peoples R China.
[6]Guizhou Med Univ, Sch Publ Hlth, Key Lab Environm Pollut Monitoring & Dis Control, Minist Educ, Guiyang, Peoples R China.
[7]Qingbaijiang Dist Ctr Dis Control & Prevent, Chengdu, Peoples R China.
[8]Chongqing Municipal Ctr Dis Control & Prevent, Chongqing, Peoples R China.
[9]Chengdu Seventh Peoples Hosp, Resp Dept, Chengdu, Peoples R China.
[10]Wuhan Univ, Int Inst Spatial Lifecourse Hlth ISLE, Wuhan, Peoples R China.
(8.0+极速模式)