IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i6p1818-d331251.html
   My bibliography  Save this article

Prevalence and Risk Factors of Metabolic Associated Fatty Liver Disease in Xinxiang, China

Author

Listed:
  • Hongbin Li

    (School of Public Health, Xinxiang Medical University, Xinxiang 453003, Henan, China)

  • Meihao Guo

    (School of Public Health, Xinxiang Medical University, Xinxiang 453003, Henan, China)

  • Zhen An

    (School of Public Health, Xinxiang Medical University, Xinxiang 453003, Henan, China)

  • Jun Meng

    (School of Management, Xinxiang Medical University, Xinxiang 453003, Henan, China)

  • Jing Jiang

    (School of Public Health, Xinxiang Medical University, Xinxiang 453003, Henan, China)

  • Jie Song

    (School of Public Health, Xinxiang Medical University, Xinxiang 453003, Henan, China)

  • Weidong Wu

    (School of Public Health, Xinxiang Medical University, Xinxiang 453003, Henan, China)

Abstract

Metabolic associated fatty liver disease (MAFLD) is recognized as the liver disease component of metabolic syndrome, which is mainly related to insulin resistance and genetic susceptibility. It is the most prevalent chronic liver disease worldwide. With rapid lifestyle transitions, its prevalence worldwide is increasing, and tremendous challenges in controlling this pandemic are arising. The objective of this study was to investigate the prevalence and risk factors of MAFLD in rural areas of Xinxiang, Henan in 2017. We conducted a cross-sectional analysis of rural inhabitants aged 20–79 years in Xinxiang, Henan in 2017, using cluster random sampling ( N = 9140). Physical examinations were conducted at local clinics from April to June 2017. After overnight fasting, all participants underwent physical examinations, blood routine tests, biochemical examinations, and liver ultrasound and completed questionnaires. We investigated the crude and age-adjusted MAFLD prevalence and analyzed the characteristics of those with, and without, MAFLD, using logistic regression. Approximately 2868 (31.38%) participants were diagnosed with MAFLD. The overall age-adjusted MAFLD prevalence was 29.85% (men: 35.36%; women: 26.49%). The MAFLD prevalence increased with age, and peaked at the 50–59-year age group, and then began to decline. Higher body mass index, waist circumference, percentage of lymphocytes, levels of hemoglobin, platelet count, triglyceride, fasting plasma glucose, and serum uric acid were independently and positively correlated with MAFLD; In contrary, active physical activity and high-density lipoprotein cholesterol were negatively correlated with MAFLD. In summary, the MAFLD prevalence in the study population was 29.85%. Higher body mass index, waist circumference, percentage of lymphocytes, levels of hemoglobin, platelet count, triglyceride, fasting plasma glucose, and serum uric acid were risk factors for MAFLD.

Suggested Citation

  • Hongbin Li & Meihao Guo & Zhen An & Jun Meng & Jing Jiang & Jie Song & Weidong Wu, 2020. "Prevalence and Risk Factors of Metabolic Associated Fatty Liver Disease in Xinxiang, China," IJERPH, MDPI, vol. 17(6), pages 1-13, March.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:6:p:1818-:d:331251
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/6/1818/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/6/1818/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jiangsheng Chen & Hong Yang, 2016. "Geographical Mobility, Income, Life Satisfaction and Family Size Preferences: An Empirical Study on Rural Households in Shaanxi and Henan Provinces in China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(1), pages 277-290, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chili Liu & Wannian Liu & Guofu Zhang & Yongbin Wang & Jing Jiang & Zhongzhi Yang & Weidong Wu, 2022. "Conjunctional Relationship between Serum Uric Acid and Serum Nickel with Non-Alcoholic Fatty Liver Disease in Men: A Cross-Sectional Study," IJERPH, MDPI, vol. 19(11), pages 1-12, May.
    2. Qianli Yuan & Huai Wang & Pei Gao & Weixin Chen & Min Lv & Shuang Bai & Jiang Wu, 2022. "Prevalence and Risk Factors of Metabolic-Associated Fatty Liver Disease among 73,566 Individuals in Beijing, China," IJERPH, MDPI, vol. 19(4), pages 1-10, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jiachang Gao & Yuhan Wang & Mei Zhang & Zenghui Huo, 2022. "Group Heterogeneity of Rural Households’ Satisfaction with Good Life from the Perspective of Rural Revitalization—A Case Study from Zhejiang Province of China," Sustainability, MDPI, vol. 14(9), pages 1-15, April.
    2. Wei Wang & Xin Luo & Chongmei Zhang & Jiahao Song & Dingde Xu, 2021. "Can Land Transfer Alleviate the Poverty of the Elderly? Evidence from Rural China," IJERPH, MDPI, vol. 18(21), pages 1-15, October.
    3. Xing Wang & Junqing Wu & Yuyan Li & Ying Zhou & Yiran Li & Rui Zhao & Qi Tong & Mingzhong Luo, 2019. "Changes in the Prevalence of Induced Abortion in the Floating Population in Major Cities of China 2007–2014," IJERPH, MDPI, vol. 16(18), pages 1-12, September.
    4. Yaling Luo & Xiling Wu & Liao Liao & Hongmei Zou & Lulu Zhang, 2022. "Children’s Filial Piety Changes Life Satisfaction of the Left-Behind Elderly in Rural Areas in China?," IJERPH, MDPI, vol. 19(8), pages 1-18, April.
    5. Yong Chen & Yaqi Liang & Hao Zhou & Qiaozhi Wang & Yanzhong Liu, 2022. "Farmers’ Adaptive Behaviors to Heavy Metal-Polluted Cultivated Land in Mining Areas: The Influence of Farmers’ Characteristics and the Mediating Role of Perceptions," IJERPH, MDPI, vol. 19(11), pages 1-17, May.
    6. Hao, Jun & Hsueh, Yeh & Kitzmann, Katherine, 2023. "An exploratory study of salient family risk factors in relation to preschoolers’ unintentional injury in northwest China," Children and Youth Services Review, Elsevier, vol. 147(C).
    7. Kuo Zhang & Jipeng Pei & Shu Wang & Karlis Rokpelnis & Xiao Yu, 2022. "Life Satisfaction in China, 2010–2018: Trends and Unique Determinants," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 17(4), pages 2311-2348, August.
    8. Pengkun Wu & Yuanyuan Wu & Chong Wu, 2018. "Research on Fertility Policy in China: The Relative Necessity for Reform Among the Different Provinces," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(2), pages 751-767, January.
    9. Li, Shengxiao (Alex) & Guan, Xiaodong & Wang, Donggen, 2022. "How do constrained car ownership and car use influence travel and life satisfaction?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 202-218.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:6:p:1818-:d:331251. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.