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Ambient Air Pollution Exposure Association with Anaemia Prevalence and Haemoglobin Levels in Chinese Older Adults

Author

Listed:
  • Mona Elbarbary

    (Faculty of Medicine and Health, Sydney School of Public Health, The University of Sydney, Sydney, NSW 2006, Australia)

  • Trenton Honda

    (Department of Family and Preventive Medicine, University of Utah, Salt Lake City, UT 84108, USA)

  • Geoffrey Morgan

    (Faculty of Medicine and Health, Sydney School of Public Health, The University of Sydney, Sydney, NSW 2006, Australia
    School of Public Health, University Centre for Rural Health, The University of Sydney, Sydney, NSW 2006, Australia)

  • Yuming Guo

    (Department of Epidemiology and Preventive Medicine at School of Public Health and Preventive Medicine, Monash University, Clayton, VIC 3800, Australia)

  • Yanfei Guo

    (Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China)

  • Paul Kowal

    (School of Medicine and Public Health, The University of Newcastle, Callaghan, NSW 2308, Australia)

  • Joel Negin

    (Faculty of Medicine and Health, Sydney School of Public Health, The University of Sydney, Sydney, NSW 2006, Australia)

Abstract

Background: Health effects of air pollution on anaemia have been scarcely studied worldwide. We aimed to explore the associations of long-term exposure to ambient air pollutants with anaemia prevalence and haemoglobin levels in Chinese older adults. Methods: We used two-level linear regression models and modified Poisson regression with robust error variance to examine the associations of particulate matter (PM) and nitrogen dioxide (NO 2 ) on haemoglobin concentrations and the prevalence of anaemia, respectively, among 10,611 older Chinese adults enrolled in World Health Organization (WHO) Study on global AGEing and adult health (SAGE) China. The average community exposure to ambient air pollutants (PM with an aerodynamic diameter of 10 μm or less (PM 10 ), 2.5 μm or less (PM 2.5 ), 1 μm or less (PM 1 ) and nitrogen dioxide (NO 2 )) for each participant was estimated using a satellite-based spatial statistical model. Haemoglobin levels were measured for participants from dried blood spots. The models were controlled for confounders. Results: All the studied pollutants were significantly associated with increased anaemia prevalence in single pollutant model (e.g., the prevalence ratios associated with an increase in inter quartile range in three years moving average PM 10 (1.05; 95% CI: 1.02–1.09), PM 2.5 (1.11; 95% CI: 1.06–1.16), PM 1 (1.13; 95% CI: 1.06–1.20) and NO 2 (1.42; 95% CI: 1.34–1.49), respectively. These air pollutants were also associated with lower concentrations of haemoglobin: PM 10 (−0.53; 95% CI: −0.67, −0.38); PM 2.5 (−0.52; 95% CI: −0.71, −0.33); PM 1 (−0.55; 95% CI: −0.69, −0.41); NO 2 (−1.71; 95% CI: −1.85, −1.57) respectively. Conclusions: Air pollution exposure was significantly associated with increased prevalence of anaemia and decreased haemoglobin levels in a cohort of older Chinese adults.

Suggested Citation

  • Mona Elbarbary & Trenton Honda & Geoffrey Morgan & Yuming Guo & Yanfei Guo & Paul Kowal & Joel Negin, 2020. "Ambient Air Pollution Exposure Association with Anaemia Prevalence and Haemoglobin Levels in Chinese Older Adults," IJERPH, MDPI, vol. 17(9), pages 1-15, May.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:9:p:3209-:d:354196
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    References listed on IDEAS

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    1. Tao Liu & Weilin Zeng & Hualiang Lin & Shannon Rutherford & Jianpeng Xiao & Xing Li & Zhihao Li & Zhengmin Qian & Baixiang Feng & Wenjun Ma, 2016. "Tempo-Spatial Variations of Ambient Ozone-Mortality Associations in the USA: Results from the NMMAPS Data," IJERPH, MDPI, vol. 13(9), pages 1-14, August.
    2. Justin Yifu Lin & Zhiqiang Liu, 2000. "Fiscal Decentralization and Economic Growth in China," Economic Development and Cultural Change, University of Chicago Press, vol. 49(1), pages 1-21.
    3. Pier Mannuccio Mannucci & Massimo Franchini, 2017. "Health Effects of Ambient Air Pollution in Developing Countries," IJERPH, MDPI, vol. 14(9), pages 1-8, September.
    4. Ruslan Medzhitov, 2008. "Origin and physiological roles of inflammation," Nature, Nature, vol. 454(7203), pages 428-435, July.
    5. Rockhill, B. & Newman, B. & Weinberg, C., 1998. "Use and misuse of population attributable fractions," American Journal of Public Health, American Public Health Association, vol. 88(1), pages 15-19.
    6. Sharon R. Williams & Thomas W. McDade, 2009. "The Use of Dried Blood Spot Sampling in the National Social Life, Health, and Aging Project," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 64(suppl_1), pages 131-136.
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    Cited by:

    1. Xuejun Feng & Jinxing Shen & Haoming Yang & Kang Wang & Qiming Wang & Zhongguo Zhou, 2020. "Time–Frequency Analysis of Particulate Matter (PM 10 ) Concentration in Dry Bulk Ports Using the Hilbert–Huang Transform," IJERPH, MDPI, vol. 17(16), pages 1-15, August.
    2. Mona Elbarbary & Artem Oganesyan & Trenton Honda & Geoffrey Morgan & Yuming Guo & Yanfei Guo & Joel Negin, 2021. "Systemic Inflammation (C-Reactive Protein) in Older Chinese Adults Is Associated with Long-Term Exposure to Ambient Air Pollution," IJERPH, MDPI, vol. 18(6), pages 1-15, March.

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    Keywords

    air pollution; ageing; blood;
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