Zilong Zhang1, Gerard Hoek2, Ly-Yun Chang3, Ta-Chien Chan4, Cui Guo1, Yuan Chieh Chuang5, Jimmy Chan6, Changqing Lin7, Wun Kai Jiang5, Yuming Guo8, Roel Vermeulen2, Eng-Kiong Yeoh1, Tony Tam9, Alexis K H Lau7, Sian Griffiths1, Xiang Qian Lao10. 1. Jockey Club School of Public Health and Primary Care, the Chinese University of Hong Kong, Hong Kong, China. 2. Institute for Risk Assessment Sciences, Utrecht University, the Netherlands. 3. Institute of Sociology, Academia Sinica, Taiwan; MJ Health Research Foundation, MJ Group, Taiwan. 4. Research Center for Humanities and Social Sciences, Academia Sinica, Taiwan. 5. MJ Health Research Foundation, MJ Group, Taiwan. 6. Division of Environment and Sustainability, the Hong Kong University of Science and Technology, Hong Kong, China. 7. Division of Environment and Sustainability, the Hong Kong University of Science and Technology, Hong Kong, China; Department of Civil and Environmental Engineering, the Hong Kong University of Science and Technology, Hong Kong, China. 8. Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Australia. 9. Department of Sociology, the Chinese University of Hong Kong, Hong Kong, China. 10. Jockey Club School of Public Health and Primary Care, the Chinese University of Hong Kong, Hong Kong, China; Shenzhen Research Institute of the Chinese University of Hong Kong, Shenzhen, China. Electronic address: xqlao@cuhk.edu.hk.
Abstract
BACKGROUND: The protective effects of physical activity (PA) against chronic disease can be partially ascribed to its anti-inflammatory effects. On the other hand, long-term exposure to particulate matter with an aerodynamic diameter less than 2.5μm (PM2.5) may induce systemic inflammation. OBJECTIVE: To investigate the joint effects of habitual PA and long-term exposure to PM2.5 on systemic inflammation in a large cohort of Taiwanese adults. METHODS: We studied 359,067 adult participants from a cohort consisting of Taiwanese residents who participated in a standard medical examination program from 2001 to 2014. Peripheral white blood cell (WBC) and differential counts were measured as indicators of systemic inflammation. Two-year average concentration of PM2.5 was estimated at each participant's address using a satellite-based spatio-temporal model. Habitual PA level was assessed by questionnaire (inactive, low, moderate and high). Mixed-effects linear regression model was used to examine the associations of WBC counts with PM2.5 and PA. RESULTS: Compared with inactive participants, those with low, moderate or high PA levels had 0.36% [95% confidence interval (CI): 0.31%, 0.41%], 0.70% (95%CI: 0.65%, 0.76%) and 1.16% (95%CI: 1.11%, 1.22%) lower WBC counts, respectively, after adjusting for PM2.5 exposure and a wide range of confounders. Long-term PM2.5 exposure was associated with increased WBC counts at all PA levels. Analyses for differential counts generated similar results. No significant interaction was observed between PA and PM2.5 exposure (P for interaction=0.59). CONCLUSIONS: Habitual PA was associated with statistically significant lower markers of systemic inflammation across different levels of PM2.5. Effects of PA and PM2.5 exposure on systemic inflammation are independent.
BACKGROUND: The protective effects of physical activity (PA) against chronic disease can be partially ascribed to its anti-inflammatory effects. On the other hand, long-term exposure to particulate matter with an aerodynamic diameter less than 2.5μm (PM2.5) may induce systemic inflammation. OBJECTIVE: To investigate the joint effects of habitual PA and long-term exposure to PM2.5 on systemic inflammation in a large cohort of Taiwanese adults. METHODS: We studied 359,067 adult participants from a cohort consisting of Taiwanese residents who participated in a standard medical examination program from 2001 to 2014. Peripheral white blood cell (WBC) and differential counts were measured as indicators of systemic inflammation. Two-year average concentration of PM2.5 was estimated at each participant's address using a satellite-based spatio-temporal model. Habitual PA level was assessed by questionnaire (inactive, low, moderate and high). Mixed-effects linear regression model was used to examine the associations of WBC counts with PM2.5 and PA. RESULTS: Compared with inactive participants, those with low, moderate or high PA levels had 0.36% [95% confidence interval (CI): 0.31%, 0.41%], 0.70% (95%CI: 0.65%, 0.76%) and 1.16% (95%CI: 1.11%, 1.22%) lower WBC counts, respectively, after adjusting for PM2.5 exposure and a wide range of confounders. Long-term PM2.5 exposure was associated with increased WBC counts at all PA levels. Analyses for differential counts generated similar results. No significant interaction was observed between PA and PM2.5 exposure (P for interaction=0.59). CONCLUSIONS: Habitual PA was associated with statistically significant lower markers of systemic inflammation across different levels of PM2.5. Effects of PA and PM2.5 exposure on systemic inflammation are independent.
Authors: David P Bui; Esther A Kukielka; Erin F Blau; Lindsay K Tompkins; K Leann Bing; Charles Edge; Rebecca Hardin; Diane Miller; James House; Tegan Boehmer; Andrea Winquist; Maureen Orr; Renée Funk; Doug Thoroughman Journal: Disaster Med Public Health Prep Date: 2021-09-21 Impact factor: 1.385
Authors: Marko Tainio; Zorana Jovanovic Andersen; Mark J Nieuwenhuijsen; Liang Hu; Audrey de Nazelle; Ruopeng An; Leandro M T Garcia; Shifalika Goenka; Belen Zapata-Diomedi; Fiona Bull; Thiago Herick de Sá Journal: Environ Int Date: 2020-12-19 Impact factor: 9.621
Authors: Yi Qian Zeng; Ly-Yun Chang; Cui Guo; Changqing Lin; Yacong Bo; Martin C S Wong; Tony Tam; Alexis K H Lau; Xiang Qian Lao Journal: Environ Epidemiol Date: 2022-01-05