0.05) relationship between PA and pre-diabetes (beta = 1.016; 95% Confidence Interval from 0.352 to 2.777). The health benefits of PA increased with the increasing frequency, duration and intensity of exercise. The prevalence of pre-diabetes was found to be very high in this population. Our results suggest that greater physical activity is associated with low plasma glucose levels."> 0.05) relationship between PA and pre-diabetes (beta = 1.016; 95% Confidence Interval from 0.352 to 2.777). The health benefits of PA increased with the increasing frequency, duration and intensity of exercise. The prevalence of pre-diabetes was found to be very high in this population. Our results suggest that greater physical activity is associated with low plasma glucose levels.">
[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v14y2017i2p198-d90576.html
   My bibliography  Save this article

The Relationship between Physical Activity and Plasma Glucose Level amongst Ellisras Rural Young Adult Males and Females: Ellisras Longitudinal Study

Author

Listed:
  • Moloko Matshipi

    (Department of Physiology and Environmental Health, University of Limpopo, Polokwane 0700, South Africa)

  • Kotsedi Daniel Monyeki

    (Department of Physiology and Environmental Health, University of Limpopo, Polokwane 0700, South Africa)

  • Han Kemper

    (Institute for Health and Care Research (EMGO+), University Medical Center, Vreije Universiteit, 1081 HV Amsterdam, The Netherlands)

Abstract
Unhealthy lifestyle characteristics such as low physical activity (PA) and high plasma glucose levels (PGLs) may lead to the development of type 2 diabetes mellitus in adulthood. The aim of this study was to investigate (i) the level of physical activity; (ii) the prevalence of pre-diabetes and (iii) the relationship between PA and plasma glucose level in a rural Ellisras adult population aged 18 to 28 years. A total of 713 young adults (349 males and 364 females) who took part in the Ellisras Longitudinal Study participated in the study. Fasting plasma glucose levels were analysed using Accutrend glucose meters. Physical activity data was collected using a validated questionnaire. Linear regression was used to assess the relationship between PA and pre-diabetes. The prevalence of pre-diabetes was between 45.7% and 50.2% and that of physical inactivity was 67.3% and 71.0% for males and females, respectively. There was no significant ( p > 0.05) relationship between PA and pre-diabetes (beta = 1.016; 95% Confidence Interval from 0.352 to 2.777). The health benefits of PA increased with the increasing frequency, duration and intensity of exercise. The prevalence of pre-diabetes was found to be very high in this population. Our results suggest that greater physical activity is associated with low plasma glucose levels.

Suggested Citation

  • Moloko Matshipi & Kotsedi Daniel Monyeki & Han Kemper, 2017. "The Relationship between Physical Activity and Plasma Glucose Level amongst Ellisras Rural Young Adult Males and Females: Ellisras Longitudinal Study," IJERPH, MDPI, vol. 14(2), pages 1-9, February.
    • Handle: RePEc:gam:jijerp:v:14:y:2017:i:2:p:198-:d:90576
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/14/2/198/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/14/2/198/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Popkin, Barry M., 1999. "Urbanization, Lifestyle Changes and the Nutrition Transition," World Development, Elsevier, vol. 27(11), pages 1905-1916, 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. Mendez Lopez, Ana & Loopstra, Rachel & McKee, Martin & Stuckler, David, 2017. "Is trade liberalisation a vector for the spread of sugar-sweetened beverages? A cross-national longitudinal analysis of 44 low- and middle-income countries," Social Science & Medicine, Elsevier, vol. 172(C), pages 21-27.
    2. Gómez, Miguel I. & Ricketts, Katie D., 2013. "Food value chain transformations in developing countries: Selected hypotheses on nutritional implications," Food Policy, Elsevier, vol. 42(C), pages 139-150.
    3. Loh, Chung-Ping A. & Li, Qiang, 2013. "Peer effects in adolescent bodyweight: Evidence from rural China," Social Science & Medicine, Elsevier, vol. 86(C), pages 35-44.
    4. Valentina Alvarez-Saavedra & Pierre Levasseur & Suneha Seetahul, 2023. "The Role of Gender Inequality in the Obesity Epidemic: A Case Study from India," Journal of Development Studies, Taylor & Francis Journals, vol. 59(7), pages 980-996, July.
    5. Popkin, Barry M. & Horton, Susan & Kim, Soowon, 2001. "The nutritional transition and diet-related chronic diseases in Asia," FCND briefs 105, International Food Policy Research Institute (IFPRI).
    6. Yuan Ma & Heng Liang & Han Li & Yaping Liao, 2020. "Towards the Healthy Community: Residents’ Perceptions of Integrating Urban Agriculture into the Old Community Micro-Transformation in Guangzhou, China," Sustainability, MDPI, vol. 12(20), pages 1-21, October.
    7. Gustavo Mora-García & María Stephany Ruiz-Díaz & Rodrigo Villegas & Vanessa García-Larsen, 2020. "Changes in diet quality over 10 years of nutrition transition in Colombia: analysis of the 2005 and 2015 nationally representative cross-sectional surveys," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 65(5), pages 547-558, June.
    8. Stoddard, Pamela & Handley, Margaret A. & Vargas Bustamante, Arturo & Schillinger, Dean, 2011. "The influence of indigenous status and community indigenous composition on obesity and diabetes among Mexican adults," Social Science & Medicine, Elsevier, vol. 73(11), pages 1635-1643.
    9. Jane Dixon, 2009. "From the imperial to the empty calorie: how nutrition relations underpin food regime transitions," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 26(4), pages 321-333, December.
    10. Melissa Neuman & Ichiro Kawachi & Steven Gortmaker & SV Subramanian, 2014. "National Economic Development and Disparities in Body Mass Index: A Cross-Sectional Study of Data from 38 Countries," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-18, June.
    11. Afaq Hyder Chohan & Jihad Awad, 2022. "Wind Catchers: An Element of Passive Ventilation in Hot, Arid and Humid Regions, a Comparative Analysis of Their Design and Function," Sustainability, MDPI, vol. 14(17), pages 1-23, September.
    12. Yevgeniy Goryakin & Sophie P Thiébaut & Sébastien Cortaredona & M Aliénor Lerouge & Michele Cecchini & Andrea B Feigl & Bruno Ventelou, 2020. "Assessing the future medical cost burden for the European health systems under alternative exposure-to-risks scenarios," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-14, September.
    13. Abay, Kibrom A. & Ibrahim, Hosam & Breisinger, Clemens, 2022. "Food policies and obesity in low- and middle-income countries," World Development, Elsevier, vol. 151(C).
    14. Niggemann, Marc & Jetzkowitz, Jens & Brunzel, Stefan & Wichmann, Matthias C. & Bialozyt, Ronald, 2009. "Distribution patterns of plants explained by human movement behaviour," Ecological Modelling, Elsevier, vol. 220(9), pages 1339-1346.
    15. Mariana Romo-Aviles & Luis Ortiz-Hernández, 2018. "Energy and nutrient supply according to food insecurity severity among Mexican households," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 10(5), pages 1163-1172, October.
    16. Goryakin, Yevgeniy & Lobstein, Tim & James, W. Philip T. & Suhrcke, Marc, 2015. "The impact of economic, political and social globalization on overweight and obesity in the 56 low and middle income countries," Social Science & Medicine, Elsevier, vol. 133(C), pages 67-76.
    17. repec:ran:wpaper:774 is not listed on IDEAS
    18. Tafreschi, Darjusch, 2015. "The income body weight gradients in the developing economy of China," Economics & Human Biology, Elsevier, vol. 16(C), pages 115-134.
    19. Ng, Shu Wen & Norton, Edward C. & Popkin, Barry M., 2009. "Why have physical activity levels declined among Chinese adults? Findings from the 1991-2006 China health and nutrition surveys," Social Science & Medicine, Elsevier, vol. 68(7), pages 1305-1314, April.
    20. Amal Al-Rasheed & Eatedal Alabdulkreem & Mai Alduailij & Mona Alduailij & Wadee Alhalabi & Seham Alharbi & Miltiadis D. Lytras, 2022. "Virtual Reality in the Treatment of Patients with Overweight and Obesity: A Systematic Review," Sustainability, MDPI, vol. 14(6), pages 1-17, March.
    21. Lisa Oberlander & Anne‐Célia Disdier & Fabrice Etilé, 2017. "Globalisation and national trends in nutrition and health: A grouped fixed‐effects approach to intercountry heterogeneity," Health Economics, John Wiley & Sons, Ltd., vol. 26(9), pages 1146-1161, September.

    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:14:y:2017:i:2:p:198-:d:90576. 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.