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Wang X, Dong Y, Huang S, Dong B, Ma J, Liang W. Change of weight status during school age and its association with late adolescent blood pressure: Results from a 15-year longitudinal study in China. Front Public Health 2022; 10:980973. [PMID: 36062130 PMCID: PMC9437432 DOI: 10.3389/fpubh.2022.980973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 07/26/2022] [Indexed: 01/25/2023] Open
Abstract
Background Change in obesity risk could be related to shift in high blood pressure (HBP) risk, while individualized influence of weight change on high blood pressure is in need of exploration. Methods A total of 16,446 children (53.47% boys) and 13,9021 effective annual measurements from 2006 to 2020 were recruited. Children's weight status, both at baseline and endpoint, was categorized as underweight, normal, overweight, and obese according to the age and sex-specific Body Mass Index z scores. HBP at late adolescence was defined with the last two measurements for each child. Populational attributable risk (PAR) of weight trait on HBP risk was calculated. Results Compared to children who maintained normal weight during follow-up, staying obese was associated with the highest HBP risk with OR of 6.39 (95% CI: 4.46, 9.15; p < 0.001) and PAR of 28.71% (95% CI: 21.58, 35.54) in boys, and OR of 6.12 (95% CI: 2.80, 13.37; p < 0.001) and PAR of 12.75% (95% CI: 4.29, 21.02) in girls. Returning from obese to normal weight was associated with lowered HBP risk, with ORs of 1.07 (95% CI: 0.69, 1.66; p = 0.771) in boys and 0.73 (95% CI: 0.25, 2.12; p = 0.566) in girls. Conclusion Weight loss program could be effective to reduce HBP risk during school age, while the underlying mechanism needs further exploration.
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Affiliation(s)
- Xijie Wang
- Vanke School of Public Health, Tsinghua University, Beijing, China,Institute for Healthy China, Tsinghua University, Beijing, China,Institute of Child and Adolescent Health & School of Public Health, Peking University, Beijing, China
| | - Yanhui Dong
- Institute of Child and Adolescent Health & School of Public Health, Peking University, Beijing, China
| | - Sizhe Huang
- Zhongshan Health Care Center for Primary and Secondary Schools, Zhongshan, China
| | - Bin Dong
- Institute of Child and Adolescent Health & School of Public Health, Peking University, Beijing, China,*Correspondence: Bin Dong
| | - Jun Ma
- Institute of Child and Adolescent Health & School of Public Health, Peking University, Beijing, China
| | - Wannian Liang
- Vanke School of Public Health, Tsinghua University, Beijing, China,Institute for Healthy China, Tsinghua University, Beijing, China,Wannian Liang
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Zhang C, Zeng Q, Liu Y, Qin Z, Liu L, Tao J, Zhang L, Yang Q, Lei J, Tang X, Wang Q, Zheng L, Hong F. Family History of Hypertension and Cobalt Exposure Synergistically Promote the Prevalence of Hypertension. Biol Trace Elem Res 2022; 200:943-952. [PMID: 33846928 DOI: 10.1007/s12011-021-02707-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2020] [Accepted: 04/02/2021] [Indexed: 12/28/2022]
Abstract
It has been previously reported that family history of hypertension (FHH) and exposure to metals are each independent risk factor for hypertension, but the interaction between the two in relation to hypertension risk has been poorly studied. The object of this study is Dong ethnic group in Guizhou, China. The impacts of exposure to metals and FHH on hypertension incidence were examined by using the restrictive cubic spline (RCS) model as well as the multivariate logistic regression model. As a result, FHH, together with cobalt and lead exposure, was identified to show independent significant correlation with hypertension incidence (P < 0.05). The risk of hypertension increased with the increase in lead and cobalt exposure quartiles. Typically, the RCS model revealed such dose-response relation. To further confirm the association of cobalt, lead, and FHH with the risk of hypertension, multiplication and addition models were used to analyze the influence of the interactions between these variables on the risk of hypertension. The results showed that there was a multiplying interaction between the influence of the FHH and cobalt on the risk of hypertension. As for the additive interaction between cobalt and FHH, the relative excess risk due to interaction (RERI) was determined to be 0.596 (95% Cl: 0.001-1.191), the attributable proportion due to interaction (AP) was calculated as 0.256 (95% Cl: 0.075-0.437), whereas the synergy index (S) was identified to be 1.814 (95% Cl: 1.080-3.047). Our study provides some limited evidence that a FHH and cobalt exposure synergistically promote the prevalence of hypertension.
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Affiliation(s)
- Cailiang Zhang
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, Guizhou, China
| | - Qibing Zeng
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, Guizhou, China
| | - Yalan Liu
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, Guizhou, China
| | - Zixiu Qin
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, Guizhou, China
| | - Leilei Liu
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, Guizhou, China
| | - Junyan Tao
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, Guizhou, China
| | - Linyuan Zhang
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, Guizhou, China
| | - Qianyuan Yang
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, Guizhou, China
| | - Juan Lei
- Guiyang City Center for Disease Control and Prevention, Guiyang, 550003, Guizhou, China
| | - Xuejie Tang
- University Town Hospital, Gui'an New District, Guiyang, 550025, Guizhou, China
| | - Qiaorong Wang
- University Town Hospital, Gui'an New District, Guiyang, 550025, Guizhou, China
| | - Liubo Zheng
- Guizhou Provincial People's Hospital, Guiyang, 550002, Guizhou, China
| | - Feng Hong
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, Guizhou, China.
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