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Occupational level of the father and alcohol consumption during adolescence; patterns and predictors

Overview of attention for article published in Journal of Epidemiology and Community Health (1978), August 2003
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Article details
Title
Occupational level of the father and alcohol consumption during adolescence; patterns and predictors
Published in
Journal of Epidemiology and Community Health (1978), August 2003
DOI 10.1136/jech.57.9.704
Pubmed ID
Authors
Abstract

This paper describes and attempts to explain the association between occupational level of the father and high alcohol consumption among a cohort of New Zealand adolescents from age 11 to 21. Data were obtained from the longitudinal Dunedin multidisciplinary health and development study. At each measurement wave, those who then belonged to the quartile that reported the highest usual amount of alcohol consumed on a typical drinking occasion were categorised as high alcohol consumers. Potential predictors of high alcohol consumption included environmental factors, individual factors, and educational achievement measured at age 9, 11, or 13. Longitudinal logistic GEE analyses described and explained the relation between father's occupation and adolescent alcohol consumption. Dunedin, New Zealand. About 1000 children were followed up from birth in 1972 until adulthood. A significant association between fathers' occupation and adolescent alcohol consumption emerged at age 15. Overall adolescents from the lowest occupational group had almost twice the odds of being a large consumer than the highest occupational group. The association between father's occupation and high alcohol consumption during adolescence was explained by the higher prevalence of familial alcohol problems and friends approving of alcohol consumption, lower intelligence scores, and lower parental attachment among adolescents from lower occupational groups. Socioeconomic background affects adolescent alcohol consumption substantially. This probably contributes to cumulation of disadvantage. Prevention programmes should focus on adolescents from lower socioeconomic groups and make healthier choices the easier choices by means of environmental change.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 1%
New Zealand 1 1%
United Kingdom 1 1%
Spain 1 1%
Unknown 77 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 13 16%
Student > Ph. D. Student 12 15%
Student > Master 12 15%
Other 9 11%
Student > Doctoral Student 8 10%
Other 15 19%
Unknown 12 15%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 20 25%
Psychology 19 23%
Social Sciences 13 16%
Economics, Econometrics and Finance 3 4%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Other 9 11%
Unknown 15 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 February 2012.
All research outputs
#12,425,845
of 34,518,147 outputs
Outputs from Journal of Epidemiology and Community Health (1978)
#3,336
of 5,091 outputs
Outputs of similar age
#34,384
of 78,252 outputs
Outputs of similar age from Journal of Epidemiology and Community Health (1978)
#23
of 37 outputs
Altmetric has tracked 34,518,147 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,091 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.4. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 78,252 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.