IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v12y2015i7p7208-7219d51742.html
   My bibliography  Save this article

Accessibility of Catering Service Venues and Adolescent Drinking in Beijing, China

Author

Listed:
  • Shijun Lu

    (National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, 29 Nanwei Road, Xicheng District, Beijing 100050, China)

  • Songming Du

    (National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, 29 Nanwei Road, Xicheng District, Beijing 100050, China)

  • Zhoupeng Ren

    (State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Science and Natural Resource Research, Chinese Academy of Sciences, A11 Datun Road, Chaoyang District, Beijing 100101, China)

  • Jing Zhao

    (Beijing Chaoyang District Center for Disease and Prevention, 25 Huaweili, Chaoyang District, Beijing 100021, China)

  • Christina Chambers

    (Department of Pediatrics, Family Medicine and Public Health, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, 9500 Gilman Drive, La Jolla CA 92093, USA)

  • Jinfeng Wang

    (State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Science and Natural Resource Research, Chinese Academy of Sciences, A11 Datun Road, Chaoyang District, Beijing 100101, China)

  • Guansheng Ma

    (National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, 29 Nanwei Road, Xicheng District, Beijing 100050, China
    Department of Nutrition and Food Hygiene, School of Public Health, Peking University, 38 Xue Yuan Road, Haidian District, Beijing 100191, China)

Abstract

This study assessed the association between accessibility of catering service venues and adolescents’ alcohol use over the previous 30 days. The data were collected from cross-sectional surveys conducted in 2014, 2223 students at 27 high schools in Chaoyang and Xicheng districts, Beijing using self-administered questionnaires to collect the adolescents information on socio-demographic characteristics and recent alcohol experiences. The accessibility of, and proximity to, catering service venues were summarized by weights, which were calculated by multiplication of the type-weight and the distance-weight. All sampled schools were categorized into three subgroups (low, middle, and high geographic density) based on the tertile of nearby catering service venues, and a multi-level logistic regression analysis was performed to explore variance between the school levels. Considering the setting characteristics, the catering service venues weighted value was found to account for 8.6% of the school level variance of adolescent alcohol use. The odds ratios (OR) and 95% confidence intervals (CI) of drinking over the past 30-days among adolescents with medium and high accessibility of catering service venues were 1.17 (0.86, 1.57) and 1.47 (1.06, 2.02), respectively ( p < 0.001 for trend test). This study addressed a gap in the adolescent drinking influence by the catering service venues around schools in China. Results suggest that the greater accessibility of catering service venues around schools is associated with a growing risk of recent drinking.

Suggested Citation

  • Shijun Lu & Songming Du & Zhoupeng Ren & Jing Zhao & Christina Chambers & Jinfeng Wang & Guansheng Ma, 2015. "Accessibility of Catering Service Venues and Adolescent Drinking in Beijing, China," IJERPH, MDPI, vol. 12(7), pages 1-12, June.
  • Handle: RePEc:gam:jijerp:v:12:y:2015:i:7:p:7208-7219:d:51742
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/12/7/7208/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/12/7/7208/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Shijun Lu & Songming Du & Xiaoqi Hu & Shurong Zou & Weijia Liu & Lei Ba & Guansheng Ma, 2015. "Drinking Patterns and the Association between Socio-Demographic Factors and Adolescents’ Alcohol Use in Three Metropolises in China," IJERPH, MDPI, vol. 12(2), pages 1-17, February.
    2. Chaloupka, Frank J, 1995. "Public Policies and Private Anti-health Behavior," American Economic Review, American Economic Association, vol. 85(2), pages 45-49, May.
    3. Torsheim, Torbjorn & Currie, Candace & Boyce, William & Kalnins, Ilze & Overpeck, Mary & Haugland, Siren, 2004. "Material deprivation and self-rated health: a multilevel study of adolescents from 22 European and North American countries," Social Science & Medicine, Elsevier, vol. 59(1), pages 1-12, July.
    4. Currie, Candace & Molcho, Michal & Boyce, William & Holstein, Bjørn & Torsheim, Torbjørn & Richter, Matthias, 2008. "Researching health inequalities in adolescents: The development of the Health Behaviour in School-Aged Children (HBSC) Family Affluence Scale," Social Science & Medicine, Elsevier, vol. 66(6), pages 1429-1436, March.
    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. Elgar, Frank J. & De Clercq, Bart & Schnohr, Christina W. & Bird, Phillippa & Pickett, Kate E. & Torsheim, Torbjørn & Hofmann, Felix & Currie, Candace, 2013. "Absolute and relative family affluence and psychosomatic symptoms in adolescents," Social Science & Medicine, Elsevier, vol. 91(C), pages 25-31.
    2. Yekaterina Chzhen & Irene Moor & William Pickett & Emilia Toczydlowska & Gonneke Stevens & UNICEF Innocenti Research Centre, 2016. "Family Affluence and Inequality in Adolescent Health and Life Satisfaction: Evidence from the HBSC study 2002-2014," Papers inwopa836, Innocenti Working Papers.
    3. Klocke, Andreas & Stadtmüller, Sven, 2024. "Two generations later: New evidence on health equalisation in youth," Social Science & Medicine, Elsevier, vol. 342(C).
    4. Tommy Haugan & Sally Muggleton & Arnhild Myhr, 2021. "Psychological distress in late adolescence: The role of inequalities in family affluence and municipal socioeconomic characteristics in Norway," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-25, July.
    5. Jung, Se-Hwan & Tsakos, Georgios & Sheiham, Aubrey & Ryu, Jae-In & Watt, Richard G., 2010. "Socio-economic status and oral health-related behaviours in Korean adolescents," Social Science & Medicine, Elsevier, vol. 70(11), pages 1780-1788, June.
    6. Pavic Simetin, Ivana & Kern, Josipa & Kuzman, Marina & Pförtner, Timo-Kolja, 2013. "Inequalities in Croatian pupils' risk behaviors associated to socioeconomic environment at school and area level: A multilevel approach," Social Science & Medicine, Elsevier, vol. 98(C), pages 154-161.
    7. Richter, Matthias & Erhart, Michael & Vereecken, Carine A. & Zambon, Alessio & Boyce, William & Gabhainn, Saoirse Nic, 2009. "The role of behavioural factors in explaining socio-economic differences in adolescent health: A multilevel study in 33 countries," Social Science & Medicine, Elsevier, vol. 69(3), pages 396-403, August.
    8. Frank J. Elgar & Britt McKinnon & Torbjørn Torsheim & Christina Warrer Schnohr & Joanna Mazur & Franco Cavallo & Candace Currie, 2016. "Patterns of Socioeconomic Inequality in Adolescent Health Differ According to the Measure of Socioeconomic Position," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 127(3), pages 1169-1180, July.
    9. Guo, Yuhe & Li, Shaoping & Chen, Siwei & Tang, Yalin & Liu, Chengfang, 2022. "Health benefits of having more female classmates: Quasi-experimental evidence from China," Economics of Education Review, Elsevier, vol. 91(C).
    10. Sophie D. Walsh & Zlata Bruckauf & Tania Gaspar & UNICEF Innocenti Research Centre, 2016. "Adolescents at Risk: Psychosomatic health complaints, low life satisfaction, excessive sugar consumption and their relationship with cumulative risks," Papers inwopa844, Innocenti Working Papers.
    11. Joseph Wolfe, 2015. "The Effects of Socioeconomic Status on Child and Adolescent Physical Health: An Organization and Systematic Comparison of Measures," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 123(1), pages 39-58, August.
    12. Shijun Lu & Songming Du & Xiaoqi Hu & Shurong Zou & Weijia Liu & Lei Ba & Guansheng Ma, 2015. "Drinking Patterns and the Association between Socio-Demographic Factors and Adolescents’ Alcohol Use in Three Metropolises in China," IJERPH, MDPI, vol. 12(2), pages 1-17, February.
    13. Kern, Matthias Robert & Heinz, Andreas & Stevens, Gonneke W.J.M. & Walsh, Sophie D. & Willems, Helmut, 2020. "“What's a normal weight?” – Origin and receiving country influences on weight-status assessment among 1.5 and 2nd generation immigrant adolescents in Europe," Social Science & Medicine, Elsevier, vol. 264(C).
    14. Nielsen, Line & Koushede, Vibeke & Vinther-Larsen, Mathilde & Bendtsen, Pernille & Ersbøll, Annette Kjær & Due, Pernille & Holstein, Bjørn E., 2015. "Does school social capital modify socioeconomic inequality in mental health? A multi-level analysis in Danish schools," Social Science & Medicine, Elsevier, vol. 140(C), pages 35-43.
    15. Heidi Carlerby & Eija Viitasara & Anders Knutsson & Katja Gillander Gådin, 2011. "Subjective health complaints among boys and girls in the Swedish HBSC study: focussing on parental foreign background," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 56(5), pages 457-464, October.
    16. Kim Dalziel & Max Catchpool & Borja García-Lorenzo & Inigo Gorostiza & Richard Norman & Oliver Rivero-Arias, 2020. "Feasibility, Validity and Differences in Adolescent and Adult EQ-5D-Y Health State Valuation in Australia and Spain: An Application of Best–Worst Scaling," PharmacoEconomics, Springer, vol. 38(5), pages 499-513, May.
    17. Green, Mark A., 2013. "The equalisation hypothesis and changes in geographical inequalities of age based mortality in England, 2002–2004 to 2008–2010," Social Science & Medicine, Elsevier, vol. 87(C), pages 93-98.
    18. Jaroslava Voráčová & Erik Sigmund & Dagmar Sigmundová & Michal Kalman, 2016. "Family Affluence and the Eating Habits of 11- to 15-Year-Old Czech Adolescents: HBSC 2002 and 2014," IJERPH, MDPI, vol. 13(10), pages 1-11, October.
    19. Masood Gheasi & Noriko Ishikawa & Karima Kourtit & Peter Nijkamp, 2019. "A meta-analysis of human health differences in urban and rural environments," Letters in Spatial and Resource Sciences, Springer, vol. 12(3), pages 167-186, December.
    20. Corominas, Mari & González-Carrasco, Mònica & Casas, Ferran, 2021. "Analyzing factors for an optimum play environment through children’s subjective well-being indicators," Children and Youth Services Review, Elsevier, vol. 122(C).

    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:12:y:2015:i:7:p:7208-7219:d:51742. 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.