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A Context-Specific Instrument to Record Drinking Behaviour: A Pilot Study on Implications of Identifying the Context of Risky Drinking

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Abstract

A context-specific quantity-frequency (CSQF) questionnaire has been developed to accurately measure alcohol consumption using probing questions on drinking context. The study aimed to describe the drinking context associated with different drinking intensities in a community of southern Thailand using the CSQF. A cross-sectional survey was conducted among adults aged > 15 years in Songkhla Province, Thailand. Among 804 participants, there were 183 current drinkers with 412 drinking events (215 low-, 79 medium-, and 118 high-intensity). More than half of these events occurred in special situations (i.e., holiday, party, and cultural drinking). About half of the drinking events occurred outside the drinker’s house and most drinking events occurred among friends. Higher drinking intensity was associated with higher level of education [adjusted odds ratio (aOR) 4.74 for medium- and aOR 5.23 for high-intensity] and with a special drinking situation (aOR 2.46 for medium- and aOR 2.78 for high-intensity).

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References

  • Anderson, P., & Baumberg, B. (2006). Alcohol in Europe: A public health persepctive. A report for the European Commission. Drugs: Education, Prevention and Policy, 13(6), 483–488. https://doi.org/10.1080/09687630600902477.

    Article  Google Scholar 

  • Andersson, A., Andersson, C., Holmgren, K., Mårdby, A.-C., & Hensing, G. (2012). Participation in leisure activities and binge drinking in adults: Findings from a Swedish general population sample. Addiction Research & Theory, 20(2), 172–182.

    Article  Google Scholar 

  • Andersson, A., Mardby, A. C., Holmgren, K., & Hensing, G. (2014). Associations between leisure activities and binge drinking in adults: Findings from a Swedish newly sick-listed sample. Work, 48(2), 143–153. https://doi.org/10.3233/wor-131606.

    Article  PubMed  Google Scholar 

  • Arbeau, K. J., Kuiken, D., & Wild, T. C. (2011). Drinking to enhance and to cope: A daily process study of motive specificity. Addictive Behaviors, 36(12), 1174–1183.

    Article  Google Scholar 

  • Baan, R., Straif, K., Grosse, Y., Secretan, B., El Ghissassi, F., Bouvard, V., et al. (2007). Carcinogenicity of alcoholic beverages. The Lancet Oncology, 8(4), 292–293.

    Article  Google Scholar 

  • Barnes, A. J., & Zimmerman, F. J. (2013). Associations of occupational attributes and excessive drinking. Social Science & Medicine, 1982(92), 35–42. https://doi.org/10.1016/j.socscimed.2013.05.023.

    Article  Google Scholar 

  • Bates, D., Mächler, M., Bolker, B., & Walker, S. (2014). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67(1), 1–48. https://doi.org/10.18637/jss.v067.i01.

    Google Scholar 

  • Birdsey, J., Sieber, W. K., Chen, G. X., Hitchcock, E. M., Lincoln, J. E., Nakata, A., et al. (2015). National survey of US long-haul truck driver health and injury: Health behaviors. Journal of Occupational and Environmental Medicine, 57(2), 210–216. https://doi.org/10.1097/jom.0000000000000338.

    Article  PubMed  Google Scholar 

  • Bobo, J. K., & Husten, C. (2000). Sociocultural influences on smoking and drinking. Alcohol Research and Health, 24(4), 225–232.

    CAS  PubMed  Google Scholar 

  • Calafat, A., Blay, N. T., Hughes, K., Bellis, M., Juan, M., Duch, M., et al. (2011). Nightlife young risk behaviours in Mediterranean versus other European cities: Are stereotypes true? European Journal of Public Health, 21(3), 311–315. https://doi.org/10.1093/eurpub/ckq141.

    Article  PubMed  Google Scholar 

  • Casswell, S., Huckle, T., & Pledger, M. (2002). Survey data need not underestimate alcohol consumption. Alcoholism, Clinical and Experimental Research, 26(10), 1561–1567. https://doi.org/10.1097/01.ALC.0000034390.38886.14.

    Article  PubMed  Google Scholar 

  • Chanaboon, S., & Kanato, M. (2015). The prevalence and associated factors of alcohol consumption: A cross-sectional study in Khon Kaen, Thailand. Journal of the Medical Association of Thailand, 98(Suppl 6), S34–40.

    PubMed  Google Scholar 

  • Colell, E., Sanchez-Niubo, A., Benavides, F. G., Delclos, G. L., & Domingo-Salvany, A. (2014). Work-related stress factors associated with problem drinking: A study of the Spanish working population. American Journal of Industrial Medicine, 57(7), 837–846. https://doi.org/10.1002/ajim.22333.

    Article  PubMed  Google Scholar 

  • Crundall, I. (2012). Alcohol management in community sports clubs: Impact on viability and participation. Health Promotion Journal of Australia, 23(2), 97–100.

    Article  Google Scholar 

  • Dawson, D. A., & Room, R. (2000). Towards agreement on ways to measure and report drinking patterns and alcohol-related problems in adult general population surveys: The Skarpö conference overview. Journal of Substance Abuse, 12(1–2), 1–21.

    Article  CAS  Google Scholar 

  • Dee, T. S. (1999). The complementarity of teen smoking and drinking. Journal of Health Economics, 18(6), 769–793. https://doi.org/10.1016/S0167-6296(99)00018-1.

    Article  CAS  PubMed  Google Scholar 

  • Ekholm, O. (2004). Influence of the recall period on self-reported alcohol intake. European Journal of Clinical Nutrition, 58(1), 60.

    Article  Google Scholar 

  • English, D. R., Holman, C. D. J., Milne, E., Winter, M. G., Hulse, G. K., & Codde, J. P. (1995). The quantification of drug caused morbidity and mortality in Australia 1995 edition: Commonwealth Department of Human Services and Health.

  • Gmel, G., Graham, K., Kuendig, H., & Kuntsche, S. (2006). Measuring alcohol consumption–should the 'graduated frequency' approach become the norm in survey research? Addiction, 101(1), 16–30. https://doi.org/10.1111/j.1360-0443.2005.01224.x.

    Article  PubMed  Google Scholar 

  • Greenbaum, P. E., Del Boca, F. K., Darkes, J., Wang, C. P., & Goldman, M. S. (2005). Variation in the drinking trajectories of freshmen college students. Journal of Consulting and Clinical Psychology, 73(2), 229–238. https://doi.org/10.1037/0022-006x.73.2.229.

    Article  PubMed  Google Scholar 

  • Greenfield, T. K. (2000). Ways of measuring drinking patterns and the difference they make: Experience with graduated frequencies. Journal of Substance Abuse, 12(1–2), 33–49.

    Article  CAS  Google Scholar 

  • Gruenewald, P. J., & Nephew, T. (1994). Drinking in California: Theoretical and empirical analyses of alcohol consumption patterns. Addiction, 89(6), 707–723.

    Article  CAS  Google Scholar 

  • Hilton, M. E. (1986). Inconsistent responses to questions about alcohol consumption in specified settings. American Journal of Drug and Alcohol Abuse, 12(4), 403–413.

    Article  CAS  Google Scholar 

  • Holyfield, L., Ducharme, L. J., & Martin, J. K. (1995). Drinking contexts, alcohol beliefs, and patterns of alcohol consumption: Evidence for a comprehensive model of problem drinking. Journal of Drug Issues, 25(4), 783–798.

    Article  Google Scholar 

  • Hong, J. W., Noh, J. H., & Kim, D. J. (2017). The prevalence of and factors associated with high-risk alcohol consumption in Korean adults: The 2009–2011 Korea National Health and Nutrition Examination Survey. PLoS ONE, 12(4), e0175299. https://doi.org/10.1371/journal.pone.0175299.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Islam, J. Y., Zaman, M. M., Bhuiyan, M. R., Hasan, M. M., Ahsan, H. N., Rahman, M. M., et al. (2017). Alcohol consumption among adults in Bangladesh: Results from STEPS 2010. WHO South East Asia Journal of Public Health, 6(1), 67–74. https://doi.org/10.4103/2224-3151.206168.

    Article  PubMed  PubMed Central  Google Scholar 

  • Jarman, D. W., Naimi, T. S., Pickard, S. P., Daley, W. W. R., & De, A. K. (2007). Peer reviewed: Binge drinking and occupation, North Dakota, 2004–2005. Preventing Chronic Disease, 4(4), A94.

    PubMed  PubMed Central  Google Scholar 

  • Kaplan, L. M., Karriker-Jaffe, K. J., & Greenfield, T. K. (2017). Drinking context and alcohol’s harm from others among men and women in the 2010 US National Alcohol Survey. Journal of Substance Use, 22(4), 412–418. https://doi.org/10.1080/14659891.2016.1232758.

    Article  PubMed  Google Scholar 

  • Katikireddi, S. V., Whitley, E., Lewsey, J., Gray, L., & Leyland, A. H. (2017). Socioeconomic status as an effect modifier of alcohol consumption and harm: Analysis of linked cohort data. The Lancet Public Health, 2(6), e267–e276.

    Article  Google Scholar 

  • Kim, S., Rifkin, S., John, S. M., & Jacob, K. S. (2013). Nature, prevalence and risk factors of alcohol use in an urban slum of Southern India. National Medical Journal of India, 26(4), 203–209.

    Google Scholar 

  • Kish, L. (1949). A procedure for objective respondent selection within the household. Journal of the American Statistical Association, 44(247), 380–387. https://doi.org/10.2307/2280236.

    Article  Google Scholar 

  • Lemmens, P., Tan, E. S., & Knibbe, R. A. (1992). Measuring quantity and frequency of drinking in a general population survey: A comparison of five indices. Journal of Studies on Alcohol, 53(5), 476–486.

    Article  CAS  Google Scholar 

  • Liao, C. M., & Lin, C. M. (2015). Geographical inequalities in alcohol-related mortality rates in Taiwan due to socio-demographic differences. Alcohol and Alcoholism, 50(5), 558–564. https://doi.org/10.1093/alcalc/agv035.

    Article  PubMed  Google Scholar 

  • Liu, Y. C., Chen, H. H., Lee, J. F., Chu, K. H., & Chien, L. Y. (2017). Factors associated with drinking behavior among immigrant women in Taiwan. Substance Use and Misuse, 52(5), 674–682. https://doi.org/10.1080/10826084.2016.1253745.

    Article  PubMed  Google Scholar 

  • Matano, R. A., Wanat, S. F., Westrup, D., Koopman, C., & Whitsell, S. D. (2002). Prevalence of alcohol and drug use in a highly educated workforce. The Journal of Behavioral Health Services & Research, 29(1), 30–44.

    Article  Google Scholar 

  • McKee, M., Pomerleau, J., Robertson, A., Pudule, I., Grinberga, D., Kadziauskiene, K., et al. (2000). Alcohol consumption in the Baltic Republics. Journal of Epidemiology and Community Health, 54(5), 361–366.

    Article  CAS  Google Scholar 

  • Miller, H. W. (1973). Plan and operation of the health and nutrition examination survey, United States, 1971–1973. DHEW publication no.(PHS)-Dept. of Health, Education, and Welfare (USA).

  • Muggli, E., Cook, B., O’Leary, C., Forster, D., & Halliday, J. (2015). Increasing accurate self-report in surveys of pregnancy alcohol use. Midwifery, 31(3), e23.

    Article  Google Scholar 

  • Neighbors, C., Lee, C. M., Lewis, M. A., Fossos, N., & Walter, T. (2009). Internet-based personalized feedback to reduce 21st-birthday drinking: A randomized controlled trial of an event-specific prevention intervention. Journal of Consulting and Clinical Psychology, 77(1), 51.

    Article  Google Scholar 

  • Obadeji, A., Oluwole, L. O., Dada, M. U., & Ajiboye, A. S. (2015). Pattern and predictors of alcohol use disorders in a family practice in Nigeria. Indian Journal of Psychological Medicine, 37(1), 75–80. https://doi.org/10.4103/0253-7176.150824.

    Article  PubMed  PubMed Central  Google Scholar 

  • Patrick, M. E., Lewis, M. A., Lee, C. M., & Maggs, J. L. (2013). Semester and event-specific motives for alcohol use during spring break: Associated protective strategies and negative consequences. Addictive Behaviors, 38(4), 1980–1987. https://doi.org/10.1016/j.addbeh.2012.11.012.

    Article  PubMed  Google Scholar 

  • Patrick, M. E., & Maggs, J. L. (2008). Short-term changes in plans to drink and importance of positive and negative alcohol consequences. Journal of Adolescence, 31(3), 307–321.

    Article  Google Scholar 

  • Patrick, M. E., Morgan, N., Maggs, J. L., & Lefkowitz, E. S. (2011). “I got your back”: Friends’ understandings regarding college student spring break behavior. Journal of Youth and Adolescence, 40(1), 108–120.

    Article  Google Scholar 

  • R Development Core Team. (2015). R: A language and environment for statistical computing: R Foundation for Statistical Computing.

  • Reboussin, B. A., Song, E.-Y., & Wolfson, M. (2012). Social influences on the clustering of underage risky drinking and its consequences in communities. Journal of Studies on Alcohol and Drugs, 73(6), 890–898.

    Article  Google Scholar 

  • Rehm, J. (1998). Measuring quantity, frequency, and volume of drinking. Alcoholism, Clinical and Experimental Research, 22(2 Suppl), 4S–14S.

    Article  CAS  Google Scholar 

  • Rehm, J., Greenfield, T. K., Walsh, G., Xie, X., Robson, L., & Single, E. (1999). Assessment methods for alcohol consumption, prevalence of high risk drinking and harm: A sensitivity analysis. International Journal of Epidemiology, 28(2), 219–224.

    Article  CAS  Google Scholar 

  • Ritchey, P. N., Reid, G. S., & Hasse, L. A. (2001). The relative influence of smoking on drinking and drinking on smoking among high school students in a rural tobacco-growing county. Journal of Adolescent Health, 29(6), 386–394. https://doi.org/10.1016/S1054-139X(01)00260-9.

    Article  CAS  Google Scholar 

  • Room, R. (2004). Smoking and drinking as complementary behaviours. Biomedicine & Pharmacotherapy, 58(2), 111–115. https://doi.org/10.1016/j.biopha.2003.12.003.

    Article  Google Scholar 

  • Room, R., & Roizen, R. (1973). Some notes on the study of drinking contexts. Drinking and Drug Practices Survey, 8, 25–32.

    Google Scholar 

  • Russell, M., Welte, J. W., & Barnes, G. M. (1991). Quantity-frequency measures of alcohol consumption: Beverage-specific vs global questions. British Journal of Addiction, 86(4), 409–417.

    Article  CAS  Google Scholar 

  • Sacks, J. J., Roeber, J., Bouchery, E. E., Gonzales, K., Chaloupka, F. J., & Brewer, R. D. (2013). State costs of excessive alcohol consumption, 2006. American Journal of Preventive Medicine, 45(4), 474–485. https://doi.org/10.1016/j.amepre.2013.06.004.

    Article  PubMed  Google Scholar 

  • Shaikh, R. A., Sikora, A., Siahpush, M., & Singh, G. K. (2015). Occupational variations in obesity, smoking, heavy drinking, and non-adherence to physical activity recommendations: Findings from the 2010 National Health Interview Survey. American Journal of Industrial Medicine, 58(1), 77–87. https://doi.org/10.1002/ajim.22405.

    Article  PubMed  Google Scholar 

  • Shield, K. D., Parry, C., & Rehm, J. (2014). Chronic diseases and conditions related to alcohol use. Alcohol Research: Current Reviews, 35(2), 155–171.

    Google Scholar 

  • Siegrist, J., & Rödel, A. (2006). Work stress and health risk behavior. Scandinavian Journal of Work, Environment & Health, 6, 473–481. https://doi.org/10.5271/sjweh.1052.

    Article  Google Scholar 

  • Single, E., & Wortley, S. (1994). A comparison of alternative measures of alcohol consumption in the Canadian National Survey of alcohol and drug use. Addiction, 89(4), 395–399.

    Article  CAS  Google Scholar 

  • Siwarak, P., Traimāt, C., & Vayagool, R. (1997). Thai constitutions in brief. Bangkok: Institute of Public Policy Studies.

    Google Scholar 

  • Smeaton, G. L., Josiam, B. M., & Dietrich, U. C. (1998). College students' binge drinking at a beach-front destination during spring break. Journal of American College Health, 46(6), 247–254.

    Article  CAS  Google Scholar 

  • Stockwell, T., Donath, S., Cooper-Stanbury, M., Chikritzhs, T., Catalano, P., & Mateo, C. (2004). Under-reporting of alcohol consumption in household surveys: A comparison of quantity-frequency, graduated-frequency and recent recall. Addiction, 99(8), 1024–1033. https://doi.org/10.1111/j.1360-0443.2004.00815.x.

    Article  PubMed  Google Scholar 

  • Thrul, J., Labhart, F., & Kuntsche, E. (2017). Drinking with mixed-gender groups is associated with heavy weekend drinking among young adults. Addiction, 112(3), 432–439. https://doi.org/10.1111/add.13633.

    Article  PubMed  Google Scholar 

  • Vichitkunakorn, P., Balthip, K., Geater, A., & Assanangkornchai, S. (2018). Comparisons between context-specific and beverage-specific quantity frequency instruments to assess alcohol consumption indices: Individual and sample level analysis. PLoS ONE, 13(8), e0202756. https://doi.org/10.1371/journal.pone.0202756.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Virtanen, P., Vahtera, J., Broms, U., Sillanmäki, L., Kivimäki, M., & Koskenvuo, M. (2008). Employment trajectory as determinant of change in health-related lifestyle: The prospective HeSSup study. European Journal of Public Health, 18(5), 504–508. https://doi.org/10.1093/eurpub/ckn037.

    Article  PubMed  Google Scholar 

  • World Health Organization. (2000). International guide for monitoring alcohol consumption and related harm. Geneva: World Health Organization.

    Google Scholar 

  • World Health Organization. (2014). Global status report on alcohol and health. Geneva: World Health Organization.

    Google Scholar 

  • Wyllie, A., Zhang, J. F., & Casswell, S. (1994). Comparison of six alcohol consumption measures from survey data. Addiction, 89(4), 425–430.

    Article  CAS  Google Scholar 

  • Xiang, Y. T., Ma, X., Lu, J. Y., Cai, Z. J., Li, S. R., Xiang, Y. Q., et al. (2009). Alcohol-related disorders in Beijing, China: Prevalence, socio-demographic correlates, and unmet need for treatment. Alcoholism: Clinical and Experimental Research, 33(6), 1111–1118. https://doi.org/10.1111/j.1530-0277.2009.00933.x.

    Article  Google Scholar 

  • Zhang, Z., & Snizek, W. E. (2003). Occupation, job characteristics, and the use of alcohol and other drugs. Social Behavior and Personality, 31(4), 395–412.

    Article  Google Scholar 

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Acknowledgements

The authors thank Mr. Glenn Shingledecker for proofreading the English of the manuscript, Mr. Kittisakdi Choomalee and Prof. Andrew Baillie for their methodological and statistical suggestions.

Funding

This study was supported financially by the Centre for Alcohol Studies of the Thai Health Promotion Foundation (Grant Number: 59-A1-0024) and the first author was supported by a Graduate Scholarship, Faculty of Medicine, Prince of Songkla University (Grant Number: 60-001). Prof. Conigrave was supported by an NHMRC Practitioner Fellowship (APP1117582).

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Authors and Affiliations

  1. Department of Family Medicine and Preventive Medicine, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand

    Polathep Vichitkunakorn

  2. Drug Health Services, Royal Prince Alfred Hospital, Sydney, Australia

    Katherine M. Conigrave

  3. Central Clinical School, Sydney Medical School, The University of Sydney, Sydney, Australia

    Katherine M. Conigrave

  4. Epidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand

    Alan F. Geater & Sawitri Assanangkornchai

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  1. Polathep Vichitkunakorn
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  2. Katherine M. Conigrave
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  3. Alan F. Geater
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  4. Sawitri Assanangkornchai
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Correspondence to Sawitri Assanangkornchai.

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Vichitkunakorn, P., Conigrave, K.M., Geater, A.F. et al. A Context-Specific Instrument to Record Drinking Behaviour: A Pilot Study on Implications of Identifying the Context of Risky Drinking. Community Ment Health J 57, 167–177 (2021). https://doi.org/10.1007/s10597-020-00629-0

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