Cited by 89Smoking Behavior and CessationGenetic Associations and EpidemiologySubstance Abuse Treatment and Outcomes

Genetic analyses of DSM-IV nicotine withdrawal in adult twins

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PERGADIA, MICHELE L., HEATH, ANDREW C., MARTIN, NICHOLAS G., MADDEN, PAMELA A. F.·2006·Psychological Medicine

Abstract

Background. We examined whether there are genetic influences on nicotine withdrawal, and whether there are genetic factors specific to nicotine withdrawal, after controlling for factors responsible for risk of progression beyond experimentation with cigarettes and for quantity smoked (average number of cigarettes per day at peak lifetime use). Method. Epidemiologic and genetic analyses were conducted using telephone diagnostic interview data from young adult Australian twins reporting any cigarette use (3026 women, 2553 men; mean age 30 years). Results. Genetic analysis of the eight symptoms of DSM-IV nicotine withdrawal suggests heritability is intermediate for most symptoms (26–43%), and similar in men and women. The exceptions were depressed mood upon withdrawal, which had stronger additive genetic influences in men (53%) compared to women (29%), and decreased heart rate, which had low heritability (9%). Although prevalence rates were substantially lower for DSM-IV nicotine withdrawal syndrome (15·9%), which requires impairment, than for the DSM-IV nicotine dependence withdrawal criterion (43·6%), heritability was similar for both measures: as high as 47%. Genetic modeling of smoking more than 1 or 2 cigarettes lifetime (‘progression’), quantity smoked and nicotine withdrawal found significant genetic overlap across all three components of nicotine use/dependence (genetic correlations=0·53–0·76). Controlling for factors associated with risk of cigarette smoking beyond experimentation and quantity smoked, evidence for genetic influences specific to nicotine withdrawal (up to 23% of total variance) remained. Conclusions. Our results suggest that at least some individuals become ‘hooked’ or progress in the smoking habit, in part, because of a vulnerability to nicotine withdrawal.

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  • Genetic factors may explain 29-53% of the variance in withdrawal symptoms and about half of the variance in quitting success.

    “Genetic factors may also account for 29–53 % of the variance in withdrawal symptoms and approximately 50 % of the variance in quitting success (Xian et al. 2003, 2005; Pergadia et al. 2006).”

    From Nicotine Withdrawal (2015) · cites this paper as Pergadia et al. 2006

    The Abstract reports 29% and 53% heritability for depressed mood during withdrawal in women and men, respectively, but gives 26–43% for most other symptoms and 9% for decreased heart rate. The paper does not report that genetic factors explain approximately 50% of variance in quitting success; its Introduction discusses cessation failure without that estimate. Page numbers are unavailable in our copy. (LLM, conf=0.86)

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Research works printed but not linked: 2

  1. Piasecki, T. M., Niaura, R., Shadel, W. G., Abrams, D., Goldstein, M., Fiore, M. C. & Baker, T. B. (2000). Smoking withdrawal dynamic in unaided quitters. Journal of Abnormal Psychology 109, 74-86.
  2. Zevin, S. & Benowitz, N. B. (2000). Pharmacokinetics and pharmacodynamics of nicotine. In Nicotine in Psychiatry : Psychopathology and Emerging Therapeutics (ed. M. Piasecki and P. A. Newhouse), pp. 37-57. American Psychiatric Press Inc. : Washington, D.C.

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Authors
PERGADIA, M. L., HEATH, A. C., MARTIN, N. G., & MADDEN, P. A. F.
Affiliations
  • Washington University in St. Louis (US)
  • QIMR Berghofer Medical Research Institute (AU)
Venue
Psychological Medicine
Published
2006-04-06
Volume
36
Issue
7
Pages
963-972
ISSN
  • 0033-2917 (ISSN-L)
  • 1469-8978
OpenAlex
W2052689467
Cited by
89
References
42
Citations by year
2026: 1 · 2025: 1 · 2023: 1 · 2022: 3 · 2021: 3 · 2020: 20 · 2018: 3 · 2017: 2 · 2016: 5 · 2015: 4 · 2014: 2 · 2013: 4 · 2012: 8
FWCI
4.86
Type
journal article
Language
en
Open access
Locations
  • Psychological Medicine (publishedVersion)
  • PubMed (publishedVersion)
  • Digital Commons@Becker (Washington University School of Medicine) (submittedVersion)
Funders
  • National Institutes of Health (AA11998, DA12854, AA07728)
  • Medical Research Council
  • National Health and Medical Research Council
  • National Medical Research Council
  • National Institute on Alcohol Abuse and Alcoholism (AA11998, R01AA013321, AA13321, AA 07580, T32AA007580, R01AA007535, AA-07535, AA-07728)
  • National Institute on Drug Abuse (DA 019951, DA12854, K08DA019951)
Topics
  • Health Sciences › Medicine › Physiology › Smoking Behavior and Cessation
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
Keywords
nicotine withdrawal, heritability, genetic factors, twin studies, nicotine dependence, smoking progression, genetic correlation, depressive mood, heart rate, sex differences, young adults
MeSH terms
Adult, Australia, Female, Humans, Irritable Mood, Male, Nicotine, Smoking, Substance Withdrawal Syndrome, Models, Statistical, Cohort Studies, Disease Progression

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