IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i18p6806-d415403.html
   My bibliography  Save this article

Clustering of Poor Dietary Habits among Adolescents Aged 12 to 15 Years in 52 Low-Income and Middle-Income Countries

Author

Listed:
  • Hui Fan

    (Department of Preventive Medicine, North Sichuan Medical College, Nanchong 637000, China)

  • Xingyu Zhang

    (Applied Biostatistics Laboratory, University of Michigan School of Nursing, Ann Arbor, MI 48109, USA)

Abstract

Very few studies have reported the co-occurrence of poor dietary habits. We thus aimed to estimate the co-occurrence of poor dietary habits in adolescents in low-income and middle-income countries (LMICs). Data were obtained from the Global School-Based Student Health Surveys (GSHS) from 2009 to 2017. The suboptimal dietary factors included fast food consumption, carbonated soft drink consumption, and low fruit and vegetable intake, which were assessed with a questionnaire survey. We calculated the corresponding country-specific prevalence with the number of suboptimal dietary factors. We also calculated pooled estimates across countries using a meta-analysis with random-effects. Our study included 145,021 adolescents between 12 and 15 years of age from 52 LMICs. The prevalence of fast food consumption, carbonated soft drink consumption, and low fruit and vegetable intake ranged from 20.9% in Pakistan to 80.0% in Thailand, from 22.4% in Kiribati to 79.3% in Suriname, and from 45.9% in Vanuatu to 90.7% in Nepal, respectively. The prevalence of exposure to two or three suboptimal dietary factors varied greatly across countries, ranging from 31.8% in Pakistan to 53.8% in Nepal and from 8.6% in Vietnam to 36.4% in Suriname, respectively. The pooled prevalence of exposure to two or three suboptimal dietary factors was 41.8% and 20.0%, respectively. Our findings indicate that poor dietary habits are frequent and tend to co-occur in adolescents in LMICs. Country-specific policies and programs are needed to address these conditions.

Suggested Citation

  • Hui Fan & Xingyu Zhang, 2020. "Clustering of Poor Dietary Habits among Adolescents Aged 12 to 15 Years in 52 Low-Income and Middle-Income Countries," IJERPH, MDPI, vol. 17(18), pages 1-12, September.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:18:p:6806-:d:415403
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/18/6806/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/17/18/6806/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yang, L. & Bovet, P. & Liu, Y. & Zhao, M. & Ma, C. & Liang, Y. & Xi, B., 2017. "Consumption of carbonated soft drinks among young adolescents aged 12 to 15 years in 53 low-and middle-income countries," American Journal of Public Health, American Public Health Association, vol. 107(7), pages 1095-1100.
    2. repec:aph:ajpbhl:10.2105/ajph.2017.303762_3 is not listed on IDEAS
    3. Cullen, K.W. & Ash, D.M. & Warneke, C. & De Moor, C., 2002. "Intake of soft drinks, fruit-flavored beverages, and fruits and vegetables by children in grades 4 through 6," American Journal of Public Health, American Public Health Association, vol. 92(9), pages 1475-1478.
    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. Fabrizio Ferretti & Michele Mariani & Elena Sarti, 2022. "Does the Prevalence of Obesity Affect the Demand for Soft Drinks? Evidence from Cross-Country Panel Data," IJERPH, MDPI, vol. 19(2), pages 1-12, January.
    2. You, Wen & Mitchell, Paul D. & Davis, George C., 2004. "Sweet Persuasion: Soft Drinks, School Funding, And Children'S Health," 2004 Annual meeting, August 1-4, Denver, CO 20129, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Zhang, Ying & Li, Ruotong & Zhao, Qiran & Fan, Shenggen, 2023. "The impact of peer effect on students' consumption of sugar-sweetened beverages- instrumental variable evidence from north China," Food Policy, Elsevier, vol. 115(C).
    4. Cunningham, Solveig A. & Zavodny, Madeline, 2011. "Does the sale of sweetened beverages at school affect children’s weight?," Social Science & Medicine, Elsevier, vol. 73(9), pages 1332-1339.
    5. Wan Ying Gan & Siti Fathiah Mohamed & Leh Shii Law, 2019. "Unhealthy Lifestyle Associated with Higher Intake of Sugar-Sweetened Beverages among Malaysian School-Aged Adolescents," IJERPH, MDPI, vol. 16(15), pages 1-13, August.
    6. Supa Pengpid & Karl Peltzer, 2019. "High Carbonated Soft Drink Intake is Associated with Health Risk Behavior and Poor Mental Health among School-Going Adolescents in Six Southeast Asian Countries," IJERPH, MDPI, vol. 17(1), pages 1-9, December.
    7. Cécile Knai & Tim Lobstein & Nicole Darmon & Harry Rutter & Martin McKee, 2012. "Socioeconomic Patterning of Childhood Overweight Status in Europe," IJERPH, MDPI, vol. 9(4), pages 1-18, April.
    8. John Cawley & Michael Daly & Rebecca Thornton, 2022. "The effect of beverage taxes on youth consumption and body mass index: Evidence from Mauritius," Health Economics, John Wiley & Sons, Ltd., vol. 31(6), pages 1033-1045, June.
    9. Lisa Oberlander, 2021. "TV exposure and food consumption patterns–evidence from Indonesia," Health Economics, John Wiley & Sons, Ltd., vol. 30(11), pages 2701-2721, November.

    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:18:p:6806-:d:415403. 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.