IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i24p13211-d702927.html
   My bibliography  Save this article

Four-Way Decomposition of Effect of Alcohol Consumption and Body Mass Index on Lipid Profile

Author

Listed:
  • Chaonan Gao

    (Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
    Institute for Medical Dataology, Shandong University, Jinan 250002, China
    National Institute of Health Data Science of China, Jinan 250002, China)

  • Wenhao Yu

    (Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
    Institute for Medical Dataology, Shandong University, Jinan 250002, China
    National Institute of Health Data Science of China, Jinan 250002, China)

  • Xiangjuan Zhao

    (Maternal and Child Health Care of Shandong Province, Cheeloo College of Medicine, Shandong University, Jinan 250012, China)

  • Chunxia Li

    (Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
    Institute for Medical Dataology, Shandong University, Jinan 250002, China
    National Institute of Health Data Science of China, Jinan 250002, China)

  • Bingbing Fan

    (Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
    Institute for Medical Dataology, Shandong University, Jinan 250002, China
    National Institute of Health Data Science of China, Jinan 250002, China)

  • Jiali Lv

    (Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
    Institute for Medical Dataology, Shandong University, Jinan 250002, China
    National Institute of Health Data Science of China, Jinan 250002, China)

  • Mengke Wei

    (Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
    Institute for Medical Dataology, Shandong University, Jinan 250002, China
    National Institute of Health Data Science of China, Jinan 250002, China)

  • Li He

    (Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
    Institute for Medical Dataology, Shandong University, Jinan 250002, China
    National Institute of Health Data Science of China, Jinan 250002, China)

  • Chang Su

    (National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 102206, China)

  • Tao Zhang

    (Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
    Institute for Medical Dataology, Shandong University, Jinan 250002, China
    National Institute of Health Data Science of China, Jinan 250002, China)

Abstract

Background: Both obesity and alcohol consumption are strongly associated with dyslipidemia; however, it remains unclear whether their joint effect on lipid profiles is through mediation, interaction, or a combination of the two. Methods: In total, 9849 subjects were selected from the 2009 panel of China Health and Nutrition Survey (CHNS). A four-way decomposition method was used to validate the pathways of drinking and body mass index (BMI) on lipids (total cholesterol, TC; triglyceride, TG; low-density lipoprotein cholesterol, LDL-C; high-density lipoprotein cholesterol, HDL-C; apolipoprotein A, APO-A; and apolipoprotein B, APO-B). Results: According to four-way decomposition, the total effects of drinking on lipids were found to be statistically significant, except for LDL-C. The components due to reference interaction were 0.63, 0.48, 0.60, −0.39, −0.30, and 0.20 for TC, TG, LDL-C, HDL-C, APO-A and APO-B, respectively ( p < 0.05 for all). The effect size of pure indirect effect and mediated interaction were 0.001~0.006 ( p > 0.05 for all). Further, linear regression models were used to examine the effect of BMI on lipid profiles in drinkers and non-drinkers. The associations of BMI and lipids were higher in all drinkers than in non-drinkers (0.069 versus 0.048 for TC, 0.079 versus 0.059 for TG, 0.057 versus 0.037 for LDL-C, −0.045 versus −0.029 for HDL-C, −0.024 versus −0.011 for APO-A and 0.026 versus 0.019 for APO-B, p interaction <0.05 for all). Conclusions: The joint effect of alcohol consumption and obesity on lipid profiles is through interaction rather than mediation. Alcohol consumption amplifies the harmful effect of BMI on lipid profiles. Greater attention should be paid to lipid health and cardiovascular risk in obese individuals regarding alcohol consumption. For obese individuals, we do not recommend alcohol consumption.

Suggested Citation

  • Chaonan Gao & Wenhao Yu & Xiangjuan Zhao & Chunxia Li & Bingbing Fan & Jiali Lv & Mengke Wei & Li He & Chang Su & Tao Zhang, 2021. "Four-Way Decomposition of Effect of Alcohol Consumption and Body Mass Index on Lipid Profile," IJERPH, MDPI, vol. 18(24), pages 1-9, December.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:24:p:13211-:d:702927
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/24/13211/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/24/13211/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Takahisa Ohta & Junzo Nagashima & Hiroyuki Sasai & Naokata Ishii, 2019. "Relationship of Cardiorespiratory Fitness and Body Mass Index with the Incidence of Dyslipidemia among Japanese Women: A Cohort Study," IJERPH, MDPI, vol. 16(23), pages 1-9, November.
    Full references (including those not matched with items on IDEAS)

    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. Geraldo A. Maranhao Neto & Iuliia Pavlovska & Anna Polcrova & Jeffrey I. Mechanick & Maria M. Infante-Garcia & Jose Pantaleón Hernandez & Miguel A. Araujo & Ramfis Nieto-Martinez & Juan P. Gonzalez-Ri, 2021. "Prediction of Cardiorespiratory Fitness in Czech Adults: Normative Values and Association with Cardiometabolic Health," IJERPH, MDPI, vol. 18(19), pages 1-12, September.
    2. Xiaohan Li & Rongfang Yu & Ping Wang & Aiwen Wang & Huiming Huang, 2021. "Effects of Exercise Training on Cardiopulmonary Function and Quality of Life in Elderly Patients with Pulmonary Fibrosis: A Meta-Analysis," IJERPH, MDPI, vol. 18(14), pages 1-18, July.

    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:18:y:2021:i:24:p:13211-:d:702927. 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.