IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v15y2018i5p850-d143134.html
   My bibliography  Save this article

University Students’ Willingness to Assist Fellow Students Who Experience Alcohol-Related Facial Flushing to Reduce Their Drinking

Author

Listed:
  • Lanyan Ding

    (Department of Educational Psychology, University of Nebraska, Lincoln, NE 68588-0345, USA)

  • Lok-Wa Yuen

    (Department of Educational Psychology, University of Nebraska, Lincoln, NE 68588-0345, USA)

  • Ian M. Newman

    (Department of Educational Psychology, University of Nebraska, Lincoln, NE 68588-0345, USA)

  • Duane F. Shell

    (Department of Educational Psychology, University of Nebraska, Lincoln, NE 68588-0345, USA)

Abstract

This study explored bystanders’ willingness to help a friend who flushes when drinking to reduce his/her drinking. Alcohol-related facial flushing is an indicator of an inherited variant enzyme, aldehyde dehydrogenase (ALDH), that impairs alcohol metabolism and increases drinkers’ lifetime risk of certain aerodigestive cancers. Individuals who flush should reduce their alcohol exposure, but they may continue to drink if social pressures and rules of etiquette make not drinking socially risky. The analysis used data from 2912 undergraduate students from 13 universities in southwestern, central and northeastern China from a survey asking how they respond to someone’s flushing in various scenarios. Latent class analysis grouped students by similar responses to flushing. A multinomial logistic regression explored how class membership was associated with knowledge, drinking status, and reactions to one’s own flushing. Five classes were derived from the latent class analysis, ranging from always intervene to mostly hesitate to help; in between were classes of students who were willing to help in some scenarios and hesitant in other scenarios. Only 11.6% students knew the connection between facial flushing and impaired alcohol metabolism, and knowledgeable students were somewhat more likely to assist when they saw someone flushing. In the absence of knowledge, other factors—such as drinking status, the gender of the bystander, the gender of the person who flushed, and degree of friendship with the person who flushed—determined how willing a person was to help someone reduce or stop drinking. Class membership was predicted by knowledge, gender, drinking status, and reactions to one’s own flushing. Of these 4 factors, knowledge and reactions to one’s own flushing could be influenced through alcohol education programs. It will take some time for alcohol education to catch up to and change social and cultural patterns of drinking. Meanwhile, motivational strategies should be developed to increase the willingness of bystanders to assist friends and to create a social expectation that flushers should stop or reduce their drinking.

Suggested Citation

  • Lanyan Ding & Lok-Wa Yuen & Ian M. Newman & Duane F. Shell, 2018. "University Students’ Willingness to Assist Fellow Students Who Experience Alcohol-Related Facial Flushing to Reduce Their Drinking," IJERPH, MDPI, vol. 15(5), pages 1-13, April.
  • Handle: RePEc:gam:jijerp:v:15:y:2018:i:5:p:850-:d:143134
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/15/5/850/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/15/5/850/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hirotugu Akaike, 1987. "Factor analysis and AIC," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 317-332, September.
    2. Ian M. Newman & Lanyan Ding & Duane F. Shell & Lida Lin, 2017. "How Social Reactions to Alcohol-Related Facial Flushing Are Affected by Gender, Relationship, and Drinking Purposes: Implications for Education to Reduce Aerodigestive Cancer Risks," IJERPH, MDPI, vol. 14(6), pages 1-11, June.
    3. Venkatram Ramaswamy & Wayne S. Desarbo & David J. Reibstein & William T. Robinson, 1993. "An Empirical Pooling Approach for Estimating Marketing Mix Elasticities with PIMS Data," Marketing Science, INFORMS, vol. 12(1), pages 103-124.
    4. Stanley Sclove, 1987. "Application of model-selection criteria to some problems in multivariate analysis," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 333-343, September.
    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. Schreier, Alayna & Stenersen, Madeline R. & Strambler, Michael J. & Marshall, Tim & Bracey, Jeana & Kaufman, Joy S., 2023. "Needs of caregivers of youth enrolled in a statewide system of care: A latent class analysis," Children and Youth Services Review, Elsevier, vol. 147(C).
    2. Moira Mckniff & Stephanie M. Simone & Tania Giovannetti, 2023. "Age, Loneliness, and Social Media Use in Adults during COVID-19: A Latent Profile Analysis," IJERPH, MDPI, vol. 20(11), pages 1-12, May.
    3. Caili Liu & Yong Wei & Yu Ling & E. Scott Huebner & Yifang Zeng & Qin Yang, 2020. "Identifying Trajectories of Chinese High School Students’ Depressive Symptoms: an Application of Latent Growth Mixture Modeling," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 15(3), pages 775-789, July.
    4. Yu Ling & E. Scott Huebner & Hongmei Yuan & Zhihua Li & Wenli Liu, 2016. "Subtyping of Strengths and Difficulties in a Chinese Adolescent Sample: a Latent Class Analysis," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 9(4), pages 933-948, December.
    5. Yu Ling & E. Scott Huebner & Yu-shu He & Ming-tian Zhong, 2016. "Three Subtypes of Internalizing and Externalizing Behaviors in Chinese Adolescents: Results of a Latent Class Analysis," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 11(4), pages 1309-1320, December.
    6. Boduszek, Daniel & Debowska, Agata & Willmott, Dominic, 2017. "Latent profile analysis of psychopathic traits among homicide, general violent, property, and white-collar offenders," Journal of Criminal Justice, Elsevier, vol. 51(C), pages 17-23.
    7. Osborne, Jennifer & Leon, Scott C., 2024. "Beyond family: Patterns of kin and fictive kin caregivers among children in the child welfare system," Children and Youth Services Review, Elsevier, vol. 163(C).
    8. Isabelle Archambault & Véronique Dupéré, 2017. "Joint trajectories of behavioral, affective, and cognitive engagement in elementary school," The Journal of Educational Research, Taylor & Francis Journals, vol. 110(2), pages 188-198, March.
    9. Burnside, Amanda N. & Gaylord-Harden, Noni K. & So, Suzanna & Voisin, Dexter R., 2018. "A latent profile analysis of exposure to community violence and peer delinquency in African American adolescents," Children and Youth Services Review, Elsevier, vol. 91(C), pages 196-203.
    10. William Magee & Sébastien St-Arnaud, 2012. "Models of the Joint Structure of Domain-Related and Global Distress: Implications for the Reconciliation of Quality of Life and Mental Health Perspectives," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 105(1), pages 161-185, January.
    11. repec:jss:jstsof:06:i02 is not listed on IDEAS
    12. Jennifer M. Boldero & Richard C. Bell & Susan M. Moore, 2010. "Do gambling activity patterns predict gambling problems? A latent class analysis of gambling forms among Australian youth," International Gambling Studies, Taylor & Francis Journals, vol. 10(2), pages 151-163, August.
    13. Wenjie Duan & Yujia Fei & Xiaoqing Tang, 2020. "Latent Profiles and Grouping Effects of Resilience on Mental Health among Poor Children and Adolescents," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 13(2), pages 635-655, April.
    14. Seamus Fleming & Mark Shevlin & Jamie Murphy & Stephen Joseph, 2014. "Psychosis within dimensional and categorical models of mental illness," Psychosis, Taylor & Francis Journals, vol. 6(1), pages 4-15, January.
    15. Hanna Lee & Jeong-Won Han, 2021. "Analysis of Parenting Attitude Types and Influencing Factors of Korean Parents by Using Latent Transition Analysis," IJERPH, MDPI, vol. 18(14), pages 1-13, July.
    16. Thao Thi Phuong Nguyen & Ha Ngoc Do & Thao Bich Thi Vu & Khanh Long Vu & Hiep Duy Nguyen & Dung Tuan Nguyen & Hoang Minh Do & Nga Thi Thu Nguyen & Ly Thi Bac La & Linh Phuong Doan & Tham Thi Nguyen & , 2023. "Association of Individual and Neighborhood Characteristics to Problematic Internet Use among Youths and Adolescents: Evidence from Vietnam," IJERPH, MDPI, vol. 20(3), pages 1-14, January.
    17. Ssu-Kuang Chen & Sunny Lin, 2014. "The Latent Profiles of Life Domain Importance and Satisfaction in a Quality of Life Scale," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 116(2), pages 429-445, April.
    18. Qi Chen & Wen Luo & Gregory J. Palardy & Ryan Glaman & Amber McEnturff, 2017. "The Efficacy of Common Fit Indices for Enumerating Classes in Growth Mixture Models When Nested Data Structure Is Ignored," SAGE Open, , vol. 7(1), pages 21582440177, March.
    19. Luo, Li & Qiu, Yuxi, 2024. "Parent−child relationship and social competence in Chinese preschoolers: A latent class analysis," Children and Youth Services Review, Elsevier, vol. 163(C).
    20. Orme, John G. & Combs-Orme, Terri, 2014. "Foster parenting together: Foster parent couples," Children and Youth Services Review, Elsevier, vol. 36(C), pages 124-132.
    21. Cappelli, Christopher & Pike, James Russell & Riggs, Nathaniel R. & Warren, Christopher M. & Pentz, Mary Ann, 2019. "Executive function and probabilities of engaging in long-term sedentary and high calorie/low nutrition eating behaviors in early adolescence," Social Science & Medicine, Elsevier, vol. 237(C), pages 1-1.

    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:15:y:2018:i:5:p:850-:d:143134. 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.