Evidence map›Paper›PMID 17055671›Full record

ArticleDrug and alcohol dependence2007

Cohort trends in prevalence and spousal concordance for smoking.

Po-Hsiu Kuo, Philip Wood, Katherine I Morley, Pamela Madden, Nicholas G Martin, Andrew C Heath

Abstract readTwin Study
In one paragraph

Article in Drug and alcohol dependence, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Po-Hsiu KuoVirginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA 23219, USA. pkuo@vcu.edu
Philip Wood
Katherine I Morley
Pamela Madden
Nicholas G Martin
Andrew C Heath

Funding

PILOT--GENETIC EPIDEMIOLOGY OF ALCOHOL AND TOBACCO CONSUMPTION IN CHINESE SAMPLEP50AA011998 · NIAAA · WASHINGTON UNIVERSITY · PI SHER, KENNETH JAMES · 1999 to 2008
$12.6M
THE GENETICS OF VULNERABILITY TO NICOTINE ADDICTIONSR01DA012854 · NIDA · WASHINGTON UNIVERSITY · PI MADDEN, PAMELA ANN · 2000 to 2013
$10.4M
Resource CoreP60AA011998 · NIAAA · WASHINGTON UNIVERSITY · PI HEATH, ANDREW C. · 2009 to 2013
$8.8M
Molecular Epidemiology of Alcoholism 2- Big SibshipsR01AA013320 · NIAAA · WASHINGTON UNIVERSITY · PI HEATH, ANDREW C. · 2003 to 2007
$3.1M
Genetic Epideniologic Models of Alcohol AbuseR37AA007728 · NIAAA · WASHINGTON UNIVERSITY · PI HEATH, ANDREW C. · 1998 to 2007
$2.2M
GENETICS OF ADOLESCENT TOBACCO USE AND DEPENDENCER01DA012540 · NIDA · WASHINGTON UNIVERSITY · PI MADDEN, PAMELA ANN · 1999 to 2003
$2.2M
Molecular Epidemiology of Alcoholism 1: Candidate GeneR01AA013326 · NIAAA · QUEENSLAND INSTITUTE OF MEDICAL RESEARCH · PI MARTIN, NICHOLAS G · 2001 to 2005
$2.1M
VARIATION IN THE EFFECTS OF ALCOHOL ON LIVER FUNCTIONR01AA014041 · NIAAA · QUEENSLAND INSTITUTE OF MEDICAL RESEARCH · PI WHITFIELD, JOHN B · 2003 to 2007
$2.1M
PHARMACOKINETICS OF NICOTINE IN TWINSP01CA075581 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HIRIHARAN, MEENAKSHISUNDAR · 1997 to 2000
$572k
The Genetics of Vulnerability to Nicotine AddictionsR56DA012854 · NIDA · WASHINGTON UNIVERSITY · PI MADDEN, PAMELA ANN · 2007 to 2007
$436k
PERSISTENCE AND CHANGE IN DRINKING HABITS--PROJECT TWOR01AA010249 · NIAAA · WASHINGTON UNIVERSITY · PI HEATH, ANDREW C. · 1995 to 1998
–
NATURAL HISTORY OF ALCOHOL USE &ABUSE--GENETIC MODELSR01AA007728 · NIAAA · WASHINGTON UNIVERSITY · PI HEATH, ANDREW C. · 1988 to 1998
–
NCI NIH HHS CA75581NCI NIH HHS P01 CA075581NIAAA NIH HHS AA013320NIAAA NIH HHS AA013326NIAAA NIH HHS AA014041NIAAA NIH HHS AA07728NIAAA NIH HHS AA11998NIAAA NIH HHS P50 AA011998NIAAA NIH HHS R01 AA007535NIAAA NIH HHS R01 AA007728NIAAA NIH HHS R01 AA010249NIAAA NIH HHS R01 AA013320NIAAA NIH HHS R01 AA013326NIAAA NIH HHS R01 AA014041NIAAA NIH HHS R37 AA007728NIDA NIH HHS DA12540NIDA NIH HHS DA12854NIDA NIH HHS K21 DA000272NIDA NIH HHS R01 DA012540NIDA NIH HHS R01 DA012854NIDA NIH HHS R56 DA012854
6 · The paper itself

Abstract

Evaluation of the pattern of smoking prevalence over time could provide insight for disease prevention and tobacco control policy. Examination of assortative mating is important in assessing the relative contribution of genetic and environmental influences in behavior genetics. A significant spousal concordance for smoking could imply assortative mating behavior and have potential influence on the risk for offspring smoking. Using intergenerational data from large scale adult twin panels in Australia, the present study examined the patterns of prevalence and spousal concordance of lifetime smoking across a wide range of birth cohorts. Data were collected for more than 16,000 twins, their spouses, parents, and parents-reported grandparents. The measurement models were used to calculate prevalence and spousal concordance for smoking. Prevalence of lifetime smoking for females increased significantly over successive cohorts, and was higher for twins (0.28-0.49) than for their parents or grandparents (0.06-0.42). Smoking prevalence was still higher in males than in females for the twins (0.49-0.69), and parental or grandparental (0.62-0.77) generations, but the gender differences largely decreased in younger cohorts. Moderate but significant spousal correlations were found across cohorts and generations, which were higher for twins (0.39-0.55) than for their parents and grandparents (0.19-0.49). Despite using a simplified smoking assessment, findings in this study demonstrated changes of lifetime smoking patterns across birth cohorts and the presence of assortative mating for smoking behavior.

Indexed as

AustraliaCohort StudiesFemaleHumansMaleNuclear FamilyParentsPrevalenceRegistriesSmokingSmoking CessationSpouses

Identifiers

PMID17055671
PMCPMC3070597

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.