IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i12p4482-d374811.html
   My bibliography  Save this article

Effects of Gender and Age on Dietary Intake and Body Mass Index in Hypertensive Patients: Analysis of the Korea National Health and Nutrition Examination

Author

Listed:
  • Hyunju Dan

    (College of Nursing, Ewha Womans University, Seoul 03760, Korea)

  • Jiyoung Kim

    (Department of Nursing, Sangmyung University, Cheonan-si 31066, Korea)

  • Oksoo Kim

    (College of Nursing, Ewha Womans University, Seoul 03760, Korea)

Abstract

Controlling weight and dietary intake are important for hypertensive patients to manage their blood pressure. However, the interaction effect of gender and age on weight and dietary intake is not well known. The aim of this study was to examine the main and interaction effects of age and gender on body mass index (BMI) and dietary intake in hypertensive patients. We analyzed data from 4287 participants with hypertension (1600 participants 45–64 years old and 2687 participants 65 years or older) who participated in the Korea National Health and Nutrition Examination Survey (2013–2016). Two-way ANOVAs were conducted to examine the main and interaction effects of age and gender on BMI and dietary intake. Gender and age had significant main effects on BMI, intake of energy, cholesterol, sodium, and potassium. However, both gender and age illustrated interaction effects on BMI (F = 8.398, p = 0.004), energy intake (F = 12.882, p < 0.001), and cholesterol intake (F = 6.107, p = 0.014), while not showing any significant interaction effects on sodium (F = 3.547, p = 0.060) and potassium (F = 3.396, p = 0.066). Compared to the middle-aged group, BMI, energy intake, and cholesterol intake decreased in the older-aged group. However, the declines were steeper in men than in women. Therefore, both gender and age need to be considered for weight and dietary intake management for hypertensive patients.

Suggested Citation

  • Hyunju Dan & Jiyoung Kim & Oksoo Kim, 2020. "Effects of Gender and Age on Dietary Intake and Body Mass Index in Hypertensive Patients: Analysis of the Korea National Health and Nutrition Examination," IJERPH, MDPI, vol. 17(12), pages 1-9, June.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:12:p:4482-:d:374811
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/12/4482/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/17/12/4482/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ayman Tailakh & Lorraine S. Evangelista & Janet C. Mentes & Nancy A. Pike & Linda R. Phillips & Donald E. Morisky, 2014. "Hypertension prevalence, awareness, and control in Arab countries: A systematic review," Nursing & Health Sciences, John Wiley & Sons, vol. 16(1), pages 126-130, March.
    2. Kyung-Hwa Choi & Myung-Sook Park & Jung Ae Kim & Ji-Ae Lim, 2015. "Associations Between Excessive Sodium Intake and Smoking and Alcohol Intake Among Korean Men: KNHANES V," IJERPH, MDPI, vol. 12(12), pages 1-10, December.
    3. Chris Skinner, 2019. "Analysis of Categorical Data for Complex Surveys," International Statistical Review, International Statistical Institute, vol. 87(S1), pages 64-78, May.
    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. Khishigsuren Davagdorj & Van Huy Pham & Nipon Theera-Umpon & Keun Ho Ryu, 2020. "XGBoost-Based Framework for Smoking-Induced Noncommunicable Disease Prediction," IJERPH, MDPI, vol. 17(18), pages 1-22, September.

    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. Mengying Wang & Wenyong Li & Ren Zhou & Siyue Wang & Hongchen Zheng & Jin Jiang & Shengfeng Wang & Canqing Yu & Wenjing Gao & Jun Lv & Tao Wu & Weihua Cao & Yonghua Hu & Liming Li & John S. Ji, 2020. "The Paradox Association between Smoking and Blood Pressure among Half Million Chinese People," IJERPH, MDPI, vol. 17(8), pages 1-11, April.
    2. Brajendra C. Sutradhar, 2022. "Multinomial Logistic Mixed Models for Clustered Categorical Data in a Complex Survey Sampling Setup," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 84(2), pages 743-789, August.
    3. Brajendra C. Sutradhar, 2023. "Cluster Correlations and Complexity in Binary Regression Analysis Using Two-stage Cluster Samples," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 85(1), pages 829-884, February.

    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:12:p:4482-:d:374811. 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.