Blood pressure states transitions among bus drivers: the application of multi-state Markov model

Wu, Yanxia1; Wu, Weigang2; Lin, Yeli3; Xiong, Juan3; Zheng, Xujuan3

2022-07-01

10.1007/s00420-022-01903-2

INTERNATIONAL ARCHIVES OF OCCUPATIONAL AND ENVIRONMENTAL HEALTH   Impact Factor & Quartile

0340-0131

1432-1246

Purpose To explore the transition patterns among different levels of blood pressure for bus drivers. Methods A follow-up study was conducted to investigate the transition probabilities of three blood pressure states, the sojourn time in each state, the survival probabilities, and the risk factors affecting hypertension progression. Based on 5618 blood pressure measurements of 1883 Chinese bus drivers from 2017 to 2021, a multi-state Markov model was established. Results The mean age of participants was 41.43 +/- 6.71 years, and 82.37% were male. The probabilities from normal state to hypertension within 1-year follow-up were 4.60% (male) and 2.13% (female); however, the corresponding changes over a 3-year follow-up had a significant increase to 20.27% (male) and 7.98% (female). The sojourn time of normal state and elevated state was 1.82 +/- 0.09 years and 1.98 +/- 0.08 years, respectively. The male participants, the increasing age, BMI, CHOL and TG were risk factors for progression from normal state to elevated state, and/or from elevated state to hypertensive state (HR: 1.04-2.53). Conclusions Early preventive measures on the progression of hypertension should be taken for Chinese bus drivers, and at least one physical examination per year is strongly recommended. The government and bus companies should pay more attention to these kinds of bus drivers with high probabilities of hypertension: male, older than 40 years, with the higher values of BMI and blood lipid. The derived findings of sojourn time, transition probabilities and survival probabilities can provide reference for health professionals to make targeted intervention to reduce bus drivers' hypertension occurrence.

Bus driver Blood pressure Hypertension Multi-state Markov model Transition probability

SCI

English

First

National Natural Science Foundation of China[81903412] ; Medical Scientific Research Foundation of Guangdong Province of China[A2020405]

Public, Environmental & Occupational Health

Public, Environmental & Occupational Health

WOS:000824826300001

SPRINGER

SOCIAL SCIENCES, GENERAL

Web of Science

1.Southern Univ Sci & Technol, Affiliated Hosp 1, Clin Med Coll 2, Shenzhen Peoples Hosp,Hlth Management Ctr,Jinan U, Shenzhen, Guangdong, Peoples R China
2.Southern Univ Sci & Technol, Affiliated Hosp 1, Clin Med Coll 2, Jinan Univ,Shenzhen Peoples Hosp,Dept Infect Dis, Shenzhen, Guangdong, Peoples R China
3.Shenzhen Univ, Hlth Sci Ctr, Xili Campus 1066,Xueyuan Rd, Shenzhen, Guangdong, Peoples R China

Wu, Yanxia,Wu, Weigang,Lin, Yeli,et al. Blood pressure states transitions among bus drivers: the application of multi-state Markov model[J]. INTERNATIONAL ARCHIVES OF OCCUPATIONAL AND ENVIRONMENTAL HEALTH,2022.

Wu, Yanxia,Wu, Weigang,Lin, Yeli,Xiong, Juan,&Zheng, Xujuan.(2022).Blood pressure states transitions among bus drivers: the application of multi-state Markov model.INTERNATIONAL ARCHIVES OF OCCUPATIONAL AND ENVIRONMENTAL HEALTH.

Wu, Yanxia,et al."Blood pressure states transitions among bus drivers: the application of multi-state Markov model".INTERNATIONAL ARCHIVES OF OCCUPATIONAL AND ENVIRONMENTAL HEALTH (2022).