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Knowledge, Attitude, Risk Perception, and Health-Related Adaptive Behavior of Primary School Children towards Climate Change: A Cross-Sectional Study in China

Author

Listed:
  • Yu Wang

    (China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China)

  • Xinhang Zhang

    (Tongzhou Center for Disease Control and Prevention, Beijing 101199, China)

  • Yonghong Li

    (China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China)

  • Yanxiang Liu

    (Public Meteorological Service Center of China Meteorological Administration, Beijing 100081, China)

  • Bo Sun

    (China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China)

  • Yan Wang

    (China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China)

  • Zhirong Zhou

    (China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China)

  • Lei Zheng

    (China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China)

  • Linxin Zhang

    (China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China)

  • Xiaoyuan Yao

    (China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China)

  • Yibin Cheng

    (China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China)

Abstract

Background: Children are disproportionately affected by climate change while evidence regarding their adaptive behavior and relevant influencing factors is limited. Objectives: We attempted to investigate health-related adaptive behavior towards climate change for primary school children in China and explore potential influencing factors. Methods: We conducted a survey of 8322 primary school children in 12 cities across China. Knowledge, attitude, risk perception, and adaptive behavior scores for children were collected using a designed questionnaire. Weather exposures of cities were collected from 2014 to 2018. We applied a multiple linear regression and mixed-effect regression to assess the influencing factors of adaptive behavior. We also used the structural equation model (SEM) to validate the theoretical framework of adaptive behavior. Results: Most children (76.1%) were aware of climate change. They mainly get information from television, smartphones, and the Internet. A 1 score increase in knowledge, attitude, and risk perception was associated with 0.210, 0.386, and 0.160 increase in adaptive behavior scores, respectively. Females and children having air conditioners or heating systems at home were positively associated with adaptive behavior. Exposure to cold and rainstorms increased the adaptive behavior scores, while heat exposure had the opposite effects. The SEM showed that knowledge was positively associated with attitude and risk perception. Knowledge, attitude, and risk perception corresponded to 31.6%, 22.8%, and 26.1% changes of adaptive behavior, respectively. Conclusion: Most primary school children in China were aware of climate change. Knowledge, attitude, risk perception, cold, and rainstorm exposure were positively associated with health-related adaptive behavior towards climate change.

Suggested Citation

  • Yu Wang & Xinhang Zhang & Yonghong Li & Yanxiang Liu & Bo Sun & Yan Wang & Zhirong Zhou & Lei Zheng & Linxin Zhang & Xiaoyuan Yao & Yibin Cheng, 2022. "Knowledge, Attitude, Risk Perception, and Health-Related Adaptive Behavior of Primary School Children towards Climate Change: A Cross-Sectional Study in China," IJERPH, MDPI, vol. 19(23), pages 1-11, November.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:23:p:15648-:d:983495
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    References listed on IDEAS

    as
    1. David M. Konisky & Llewelyn Hughes & Charles H. Kaylor, 2016. "Extreme weather events and climate change concern," Climatic Change, Springer, vol. 134(4), pages 533-547, February.
    2. Jeremy Brooks & Douglas Oxley & Arnold Vedlitz & Sammy Zahran & Charles Lindsey, 2014. "Abnormal Daily Temperature and Concern about Climate Change Across the United States," Review of Policy Research, Policy Studies Organization, vol. 31(3), pages 199-217, May.
    3. Yingying Sun & Ziqiang Han, 2018. "Climate Change Risk Perception in Taiwan: Correlation with Individual and Societal Factors," IJERPH, MDPI, vol. 15(1), pages 1-12, January.
    4. Tien Ming Lee & Ezra M. Markowitz & Peter D. Howe & Chia-Ying Ko & Anthony A. Leiserowitz, 2015. "Predictors of public climate change awareness and risk perception around the world," Nature Climate Change, Nature, vol. 5(11), pages 1014-1020, November.
    5. Zeileis, Achim, 2004. "Econometric Computing with HC and HAC Covariance Matrix Estimators," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 11(i10).
    6. Yonghong Li & Bo Sun & Changlin Yang & Xianghua Zhuang & Liancheng Huang & Qingqing Wang & Peng Bi & Yan Wang & Xiaoyuan Yao & Yibin Cheng, 2022. "Effectiveness Evaluation of a Primary School-Based Intervention against Heatwaves in China," IJERPH, MDPI, vol. 19(5), pages 1-13, February.
    7. David Konisky & Llewelyn Hughes & Charles Kaylor, 2016. "Extreme weather events and climate change concern," Climatic Change, Springer, vol. 134(4), pages 533-547, February.
    8. Rosseel, Yves, 2012. "lavaan: An R Package for Structural Equation Modeling," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i02).
    9. Derick A. Akompab & Peng Bi & Susan Williams & Janet Grant & Iain A. Walker & Martha Augoustinos, 2013. "Heat Waves and Climate Change: Applying the Health Belief Model to Identify Predictors of Risk Perception and Adaptive Behaviours in Adelaide, Australia," IJERPH, MDPI, vol. 10(6), pages 1-21, May.
    10. Nick Pidgeon, 2012. "Public understanding of, and attitudes to, climate change: UK and international perspectives and policy," Climate Policy, Taylor & Francis Journals, vol. 12(sup01), pages 85-106, September.
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