Literature DB >> 3870923

The behavioral risk factor surveys: III. Chronic heavy alcohol use in the United States.

M K Bradstock1, J S Marks, M R Forman, E M Gentry, G C Hogelin, F L Trowbridge.   

Abstract

Results of adult telephone interview data from aggregated state surveys show significant chronic alcohol use (two or more drinks per day) by 8.7 percent of the U.S. population. Rates are higher in men than in women (13.8 percent versus 4.0 percent, and higher in whites than in blacks (9.1 percent versus 4.5 percent). Women 25-44 years of age have significantly lower rates (2.9 percent) than women 18-24 (5.7 percent) or women 45-64 (4.6 percent). Also, rates are higher in heavy smokers (over one pack per day) than nonsmokers (22.4 percent versus 5.9 percent), among nonusers of seatbelts than users of seatbelts (10.5 percent versus 6.2 percent), and in those who reported driving after having had "too much" to drink than in those who did not (32.3 percent versus 7.5 percent). Overweight women (2.7 percent) and those who eat in response to stress (3.1 percent) have lower rates of chronic heavy alcohol use than those without these risk factors. Alcohol-related morbidity contributes substantially to the loss of productive life. We conclude that examining alcohol consumption in the light of other lifestyle behaviors would help in the design of effective prevention programs based on multiple risk factor interventions.

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Year:  1985        PMID: 3870923

Source DB:  PubMed          Journal:  Am J Prev Med        ISSN: 0749-3797            Impact factor:   5.043


  8 in total

1.  The Behavioral Risk Factor Survey and the Stanford Five-City Project Survey: a comparison of cardiovascular risk behavior estimates.

Authors:  C Jackson; D E Jatulis; S P Fortmann
Journal:  Am J Public Health       Date:  1992-03       Impact factor: 9.308

2.  Association of self-reported injury and alcohol consumption in medical outpatients.

Authors:  M C Burger; M J Lichtenstein; J T Hays; M D Decker
Journal:  J Gen Intern Med       Date:  1990 Nov-Dec       Impact factor: 5.128

3.  Who's driving? college students' choices of transportation home after drinking.

Authors:  L K McCormick; J Ureda
Journal:  J Prim Prev       Date:  1995-09

4.  Exploratory cluster analysis of behavioral risks for chronic disease and injury: implications for tailoring health promotion services.

Authors:  J P Mayer; J R Taylor; J C Thrush
Journal:  J Community Health       Date:  1990-12

5.  Predisposing factors for individuals' Lyme disease prevention practices: Connecticut, Maine, and Montana.

Authors:  J E Herrington; G L Campbell; R E Bailey; M L Cartter; M Adams; E L Frazier; T A Damrow; K F Gensheimer
Journal:  Am J Public Health       Date:  1997-12       Impact factor: 9.308

6.  The Behavioral Risk Factor Surveillance System: Information, Relationships, and Influence.

Authors:  James S Marks; Ali H Mokdad; Machell Town
Journal:  Am J Prev Med       Date:  2020-11-18       Impact factor: 5.043

7.  Social relationships and health-related behavior.

Authors:  C L Broman
Journal:  J Behav Med       Date:  1993-08

8.  Design, characteristics, and usefulness of state-based behavioral risk factor surveillance: 1981-87.

Authors:  P L Remington; M Y Smith; D F Williamson; R F Anda; E M Gentry; G C Hogelin
Journal:  Public Health Rep       Date:  1988 Jul-Aug       Impact factor: 2.792

  8 in total

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