Evidence map›Paper›PMID 10224980›Full record

ArticleAmerican journal of public health1999

The impact of smoking, alcohol consumption, and physical activity on use of hospital services.

N Haapanen-Niemi, S Miilunpalo, I Vuori, M Pasanen, P Oja

Abstract read
In one paragraph

Article in American journal of public health, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Trial
  2. Article
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  5. Article
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  7. Article
  8. Disparities in health care utilization by smoking status in Canada.International journal of public health · 2013
    Article
  9. Article
  10. Article
  11. Smoking in young women in Scotland and future burden of hospital admission and death: a nested cohort study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2013
    Article
  12. Article
  13. Article
  14. Review
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  16. Article
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  18. Article
  19. Article
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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.

N Haapanen-NiemiUKK Institute for Health Promotion Research, Tampere, Finland. nina.haapanen@uta.fi
S Miilunpalo
I Vuori
M Pasanen
P Oja

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study investigated the associations of smoking, excess alcohol consumption, and physical inactivity with the use of hospital care.

methodsA cohort of 19- to 63-year-old Finnish men (n = 2534) and women (n = 2668) were followed prospectively for 16 years. Number of hospital days was extracted from the national hospital discharge registry, while data concerning exposure variables were derived from the baseline questionnaire.

resultsAfter adjustment for confounders, male smokers had 70% (95% confidence interval [CI] = 49%, 95%) and female smokers had 49% (95% CI = 29%, 71%) more hospital days due to my cause than did those who had never smoked. Men consuming a moderate amount of alcohol had 21% (95% CI = 10%, 31%) fewer hospital days due to any cause than did nondrinkers. Men who had the lowest energy expenditure during leisure-time physical activity had 36% (95% CI = 15%, 63%) more hospital days than the most active men. The figure for women was 23% (95% CI = 4%, 44%).

conclusionsSmoking was strongly associated with an increased use of hospital services. The associations of alcohol consumption and leisure-time physical activity with use of hospital care depended on the diagnosis under study.

Indexed as

ExerciseAdultAge DistributionAlcohol DrinkingFemaleFinlandHospitalsHumansLeisure ActivitiesLength of StayMaleMiddle AgedMorbidityPatient DischargeProspective StudiesRegistries

Identifiers

PMID10224980
PMCPMC1508744

What OpenQuestion holds

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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.