Skip to main content
Key Specialties
Cardiology Diabetology Endocrinology Gastroenterology Geriatrics and Gerontology Gynecology and Obstetrics Hematology Infectious Disease Internal Medicine Nephrology Neurology Oncology Pediatrics Respiratory Medicine Rheumatology Surgery
Congress Coverage
2024 ACC Congress 2023 ESMO Congress 2023 EASD Congress 2023 ERS Congress 2023 ESC Congress 2023 EHA Congress 2023 ASCO Annual Meeting
Clinical Collections
Advances in Alzheimer’s

Keynote webinar | Spotlight on sleep in brain health

LIVE: Thursday 2nd May 2024, 18:00-19:30 (CEST)

Quality sleep is essential for health. But what happens to our brains when sleep patterns are disturbed? Join our experts to explore the interplay between sleep disruption and neurological diseases, and the questions that you need to be asking your patients to help you prevent the harmful effects of sleep deprivation.
ADVANCED SEARCH
Log in
Top
BMC Public Health
Published in: BMC Public Health 1/2018

Open Access 01-12-2018 | Research article

The relationship between socioeconomic status and risky drinking in Denmark: a cross-sectional general population study

Authors: Abdu Kedir Seid, Kim Bloomfield, Morten Hesse

Published in: BMC Public Health | Issue 1/2018

Login to get access

Abstract

Background

Socioeconomic status (SES) is regarded as consisting of education, income and employment. However, the relationship of these three components to alcohol use behaviours, such as risky single occasion drinking (RSOD) is unclear. The aim of the present paper is to specify how the three SES components relate to RSOD in a cross-sectional survey sample of the Danish general population.

Method

Data from a 2011 Danish national representative survey (n = 3600) was analysed by multiple logistic regression to assess the influence of three dimensions of individual SES (education, income, employment) on RSOD.

Results

Components of SES were not found to be significantly associated with RSOD independently nor in combination.

Conclusion

In the Danish context, SES was not associated with RSOD.
Literature
1.
Glymour MM, Avendano M, Kawachi I. Socioeconomic status and health. In: Berkman L, Kawachi I, Glymour MM, editors. Social Epidiology. 2nd ed. USA: Oxford University Press; 2014. p. 17–62.
2.
Liberatos P, Link BG, Kelsey JL. The measurement of social class in epidemiology. Epidemiol Rev. 1988;10:87–121.CrossRefPubMed
3.
Berkman LF, Macintyre S. In: Kogevinas M, Pearce N, Susser M, Boffetta P, editors. The measurement of social class in health studies: old measures and new formulations. Lyon: IARC Scientific publications; 1997.
4.
Link BG, Phelan J. Social conditions as fundamental causes of disease. J Health Soc Behav. 1995:80–94.
5.
Kant AK, Graubard BI. Secular trends in the association of socio-economic position with self-reported dietary attributes and biomarkers in the US population: National Health and nutrition examination survey (NHANES) 1971-1975 to NHANES 1999-2002. Public Health Nutr. 2007;10(2):158–67.CrossRefPubMed
6.
Willems S, De Maesschalck S, Deveugele M, Derese A, De Maeseneer J. Socio-economic status of the patient and doctor-patient communication: does it make a difference? Patient Educ Couns. 2005;56(2):139–46.CrossRefPubMed
7.
Chatterji P. Education and Health: disentangling causal relationships from associations. In: Culyer AJ, editor. Encyclopedia of health economics. San Diego: Elsevier; 2014. p. 250–8.CrossRef
8.
Cardarelli KM, Low MD, Vernon SW, Preacely N, Baumler ER, Tortolero S. Critical review of the evidence for the connection between education and health: a guide for exploration of the causal pathways. Social Sources of Disparities in Health and Health Care and Linkages to Policy, Population Concerns and Providers of Care; 2009. p. 137–59.
9.
Li J, Powdthavee N. Does more education lead to better health habits? Evidence from the school reforms in Australia. Soc Sci Med. 2015;127:83–91.CrossRefPubMed
10.
Gathmann C, Jürges H, Reinhold S. Compulsory schooling reforms, education and mortality in twentieth century Europe. Soc Sci Med. 2015;127:74–82.CrossRefPubMed
11.
Galama T, Hv K. A theory of socioeconomic disparities in health over the life cycle. Santa Monica, CA: RAND Corporation; 2010. p. 2010.
12.
Contoyannis P, Jones AM. Socio-economic status, health and lifestyle. J Health Econ. 2004;23(5):965–95.CrossRefPubMed
13.
Bloomfield K, Grittner U, Kramer S, Gmel G. Social inequalities in alcohol consumption and alcohol-related problems in the study countries of the EU concerted action 'Gender, culture and alcohol problems: a multi-national Study'. Alcohol Alcohol. 2006;41(1):i26–36.CrossRef
14.
Neumark YD, Rahav G, Jaffe DH. Socio-economic status and binge drinking in Israel. Drug Alcohol Depend. 2003;69(1):15–21.CrossRefPubMed
15.
Cutler DM, Lleras-Muney A, Vogl T. Socioeconomic Status and Health: Dimensions and Mechanisms. National Bureau of Economic Research Working Paper Series. 2008;No. 14333.
16.
Lantz PM, Golberstein E, House JS, Morenoff JD. Socioeconomic and Behavioral Risk Factors for Mortality in a National 19-Year Prospective Study of U.S. Soc Sci Med 2010;70(10):1558–1566.
17.
Adler NE, Newman K. Socioeconomic disparities in health: pathways and policies. Health affairs (Project Hope). 2002;21(2):60–76.CrossRef
18.
Romelsjo A, Lundberg M. The changes in the social class distribution of moderate and high alcohol consumption and of alcohol-related disabilities over time in Stockholm County and in Sweden. Addiction. 1996;91(9):1307–23.CrossRefPubMed
19.
Harrison L, Gardiner E. Do the rich really die young? Alcohol-related mortality and social class in great Britain, 1988-94. Addiction. 1999;94(12):1871–80.CrossRefPubMed
20.
Herttua K, Makela P, Martikainen P. Changes in alcohol-related mortality and its socioeconomic differences after a large reduction in alcohol prices: a natural experiment based on register data. Am J Epidemiol. 2008;168(10):1110–8. discussion 26-31CrossRefPubMedPubMedCentral
21.
Cerda M, Johnson-Lawrence VD, Galea S. Lifetime income patterns and alcohol consumption: investigating the association between long- and short-term income trajectories and drinking. Soc Sci Med. 2011;73(8):1178–85.CrossRefPubMedPubMedCentral
22.
Huckle T, You RQ, Casswell S. Socio-economic status predicts drinking patterns but not alcohol-related consequences independently. Addiction. 2010;105(7):1192–202.CrossRefPubMed
23.
Charitonidi E, Studer J, Gaume J, Gmel G, Daeppen J-B, Bertholet N. Socioeconomic status and substance use among Swiss young men: a population-based cross-sectional study. BMC Public Health. 2016;16:333.CrossRefPubMedPubMedCentral
24.
Cutler DM, Lleras-Muney A. Understanding differences in health behaviors by education. J Health Econ. 2010;29(1):1–28.CrossRefPubMed
25.
Gmel G, Kuntsche E, Rehm J. Risky single-occasion drinking: bingeing is not bingeing. Addiction. 2011;106(6):1037–45.CrossRefPubMed
26.
StataCorp. Stata Statistical Software: Release 14. College Station, TX: StataCorp LP.; 2015.
27.
Schnohr C, Hojbjerre L, Riegels M, Ledet L, Larsen T, Schultz-Larsen K, et al. Does educational level influence the effects of smoking, alcohol, physical activity, and obesity on mortality? A prospective population study. Scandinavian journal of public health. 2004;32(4):250–6.CrossRefPubMed
28.
van Oers JA, Bongers IM, van de Goor LA, Garretsen HF. Alcohol consumption, alcohol-related problems, problem drinking, and socioeconomic status. Alcohol and alcoholism (Oxford, Oxfordshire). 1999;34(1):78–88.CrossRef
29.
Bloomfield K, Grittner U, Rasmussen HB, Petersen HC. Socio-demographic correlates of alcohol consumption in the Danish general population. Scand J Public Healt. 2008;36(6):580–8.CrossRef
30.
Hansen AB, Hvidtfeldt UA, Gronbaek M, Becker U, Nielsen AS, Tolstrup JS. The number of persons with alcohol problems in the Danish population. Scandinavian journal of public health. 2011;39(2):128–36.CrossRefPubMed
31.
Hoeck S, Van Hal G. Unhealthy drinking in the Belgian elderly population: prevalence and associated characteristics. Eur J Pub Health. 2013;23(6):1069–75.CrossRef
32.
Iparraguirre J. Socioeconomic determinants of risk of harmful alcohol drinking among people aged 50 or over in England. BMJ Open. 2015;5(7)
33.
Bloomfield K, Grittner U, Rasmussen HB, Petersen HC. Socio-demographic correlates of alcohol consumption in the Danish general population. Scandinavian journal of public health. 2008;36(6):580–8.CrossRefPubMed
34.
35.
Järvinen M, Ellersgaard CH, Larsen AG. Drinking to the limit: alcohol, social status and health governance. Drugs: Education, Prevention and Policy. 2014;21(4):283–98.
36.
Meiklejohn J, Connor J, Kypri K. The effect of low survey response rates on estimates of alcohol consumption in a general population survey. PLoS One. 2012;7(4):e35527.CrossRefPubMedPubMedCentral
37.
Zhao J, Stockwell T, Macdonald S. Non-response bias in alcohol and drug population surveys. Drug and alcohol review. 2009;28(6):648–57.CrossRefPubMed
38.
Maclennan B, Kypri K, Langley J, Room R. Non-response bias in a community survey of drinking, alcohol-related experiences and public opinion on alcohol policy. Drug Alcohol Depend. 2012;126(1–2):189–94.CrossRefPubMed
39.
Torvik FA, Rognmo K, Tambs K. Alcohol use and mental distress as predictors of non-response in a general population health survey: the HUNT study. Soc Psychiatry Psychiatr Epidemiol. 2012;47(5):805–16.CrossRefPubMed
40.
Kypri K, Stephenson S, Langley J. Assessment of nonresponse bias in an internet survey of alcohol use. Alcohol Clin Exp Res. 2004;28(4):630–4.CrossRefPubMed
41.
WHO. Global status report on alcohol and health. 2014.
42.
Davis CG, Thake J, Vilhena N. Social desirability biases in self-reported alcohol consumption and harms. Addict Behav. 2010;35(4):302–11.CrossRefPubMed
43.
Del Boca FK, Darkes J. The validity of self-reports of alcohol consumption: state of the science and challenges for research. Addiction. 2003;98(Suppl 2):1–12.CrossRefPubMed
44.
Metadata
Title
The relationship between socioeconomic status and risky drinking in Denmark: a cross-sectional general population study
Authors
Abdu Kedir Seid
Kim Bloomfield
Morten Hesse
Publication date
01-12-2018
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2018
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-018-5481-y

Other articles of this Issue 1/2018

BMC Public Health 1/2018 Go to the issue

Research article

Patterns and correlates of physical activity in adult Norwegians: a forecasted evolution up to 2025 based on machine learning approach

Research article

Estimating the spatial risk of tuberculosis distribution in Gurage zone, southern Ethiopia: a geostatistical kriging approach

Research article

A population-based national estimate of the prevalence and risk factors associated with hypertension in Rwanda: implications for prevention and control

Research article

Who wants to be involved in health care decisions? Comparing preferences for individual and collective involvement in England and Sweden

Research article

Interventions to reduce post-acute consequences of diarrheal disease in children: a systematic review

Research article

Hypertension prevalence and influence of basal metabolic rate on blood pressure among adult students in Bangladesh