Evidence map›Paper›PMID 20155602›Full record

ArticleJournal of addictive diseases2009

Lifetime substance misuse and 5-year incidence rates of emergent health problems among middle-aged adults.

Kristin M Caspers, Rebecca Yucuis, Lowell M McKirgan, Ruth Spinks, Stephan Arndt

Open access · greenAbstract read
In one paragraph

Article in Journal of addictive diseases, 2009. 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
0.4field-weighted citation impact, top 32% of its field
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, 7 citations in OpenAlex.

  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

5 authors at 1 institution in 1 country.

Kristin M CaspersCarver College of Medicine, Department of Psychiatry, University of Iowa, Iowa City, IA 52242, USA. kristin-caspers@uiowa.edu
Rebecca Yucuis
Lowell M McKirgan
Ruth Spinks
Stephan Arndt
University of Iowa · US

Funding

GENE-ENVIRONMENT INTERACTION IN ETIOLOGY OF DRUG ABUSER01DA005821 · NIDA · UNIVERSITY OF IOWA · PI ARNDT, STEPHAN · 1989 to 2008
$5.4M
NIDA NIH HHS R01 DA005821
6 · The paper itself

Abstract

Understanding the impact of prior substance misuse on emergent health problems is important to the implementation of effective preventive care. This study examined the 5-year incidence rates using a sample of middle-aged adult adoptees (N = 309, mean(age) = 44.32, standard deviation(age) = 7.28). Subjects reported on health problems at two waves of study. DSM-IV diagnoses of substance misuse were obtained using a semi-structured diagnostic interview. Finally, health services utilization and perceived health status were collected. Lifetime diagnoses of marijuana and other non-marijuana substance misuse significantly predicted new occurrences of cardiovascular and metabolic disease. Alcohol misuse predicted earlier onset of cardiovascular disease among men. Marijuana and other non-marijuana drugs predicted earlier onset of cardiovascular disease for men and women. Finally, marijuana and other non-marijuana drugs predicted earlier onset of metabolic disease among men. Substance misuse did not predict health services utilization despite higher rates of disease. These findings emphasize the need to assess lifetime substance misuse when evaluating health risks associated with use.

Indexed as

Health StatusAdoptionAdultCardiovascular DiseasesChronic DiseaseComorbidityFemaleHealth ServicesHumansIncidenceInterview, PsychologicalMaleMetabolic DiseasesMiddle AgedProportional Hazards ModelsSex Distribution

Identifiers

PMID20155602
PMCPMC2824908
OpenAlexW2070773477

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.