Evidence map›Paper›PMID 24355104›Full record

ArticlePreventing chronic disease2013

Clustering of risk factors with smoking habits among adults, Sousse, Tunisia.

Jihene Maatoug, Imed Harrabi, Sonia Hmad, Mylene Belkacem, Mustafa Al'absi, Harry Lando, Hassen Ghannem

Abstract read
In one paragraph

Article in Preventing chronic disease, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 3 pooled it
–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

7 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Tobacco use and associated mental symptoms and health risk behaviours amongst individuals 15 years or older in South Africa.The South African journal of psychiatry : SAJP : the journal of the Society of Psychiatrists of South Africa · 2020
    Article
  6. Article
  7. 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

7 authors.

Jihene MaatougDepartment of Epidemiology, University Hospital Farhat Hached, Sousse, 4000 Tunisia. E-mail: jihenmaatoug3107@gmail.com.
Imed HarrabiDepartment of Epidemiology, University Hospital Farhat Hached, Sousse, Tunisia.
Sonia HmadDepartment of Epidemiology, University Hospital Farhat Hached, Sousse, Tunisia.
Mylene BelkacemDepartment of Epidemiology, University Hospital Farhat Hached, Sousse, Tunisia.
Mustafa Al'absiDuluth Medical Research Institute, University of Minnesota, USA.
Harry LandoDepartment of Epidemiology and Community Health, University of Minnesota, USA.
Hassen GhannemDepartment of Epidemiology, University Hospital Farhat Hached, Sousse, Tunisia.

Funding

Capacity Building for Tobacco Control in Tunisia, North Africa & Middle EastR56TW009265 · FIC · UNIVERSITY OF MINNESOTA · PI LANDO, HARRY ALAN · 2012 to 2012
$238k
FIC NIH HHS R56 TW009265FIC NIH HHS R56TW009265
6 · The paper itself

Abstract

introductionIn Tunisia, few studies have assessed the association between tobacco use and other lifestyle risk factors for chronic disease (eg, unhealthy diet, physical inactivity). We studied 1,880 adults to determine the association between tobacco use and other lifestyle risk factors in Tunisia.

methodsThis study was part of an assessment of the prevalence of chronic disease risk factors in a community-based trial conducted in 2009 to implement a chronic disease prevention program. The study population was randomly selected from 3 districts of the region of Sousse. The questionnaires were administered by personal interview and included the assessment of tobacco use and other chronic disease risk factors such as unhealthful diet habits and physical inactivity.

resultsOf the 1,880 study participants, 64% were women. The mean age of the participants was 37.9 (standard deviation, 13.5 y). The prevalence of tobacco use in our population was 50.4% for men and 3.1% for women. Among men, the proportion of alcohol consumption was significantly higher among smokers (25.3% vs 5.7% [P <.001]). Smokers consumed fewer fruits and vegetables and more high-fat, high-salt, and high-sugar foods than did nonsmokers. There was no significant difference between male smokers and nonsmokers regarding physical activity (P = .36).

conclusionPhysical activity and dietary characteristics may be important areas for physicians to assess during smoking-cessation interventions.

Indexed as

DietExerciseHealth BehaviorAdultAlcohol DrinkingChronic DiseaseCluster AnalysisFemaleHumansMaleMiddle AgedRisk FactorsSex FactorsSmokingSurveys and QuestionnairesTunisia

Identifiers

PMID24355104
PMCPMC3869528

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.