Evidence map›Paper›PMID 35310612›Full record

ArticleNordisk alkohol- & narkotikatidskrift : NAT2021

Distribution of sickness absence risk across different levels and patterns of drinking: findings from the Stockholm Public Health Cohort.

Jonas Landberg, Mats Ramstedt

Abstract read
In one paragraph

Article in Nordisk alkohol- & narkotikatidskrift : NAT, 2021. 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
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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

2 authors.

Jonas LandbergDepartment of Public Health Sciences, Stockholm University, Sweden; and Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden.ORCID https://orcid.org/0000-0001-6114-4436
Mats RamstedtSwedish Council for Information on Alcohol and Other Drugs (CAN), Stockholm, Sweden; and Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden.ORCID https://orcid.org/0000-0003-0185-8896

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: This study estimated (i) the risk function between different indicators of alcohol use and long-term sickness absence, adjusting for possible confounding factors, (ii) whether the risk function between average volume of consumption and sickness absence is modified by heavy episodic drinking (HED), and (iii) to what extent the risk for sickness absence among abstainers is due to health selection bias. Data and methods: The study was based on data from the Stockholm Public Health Cohort 2006, with an analytical sample of 16,477 respondents aged 18-64 years. The outcome included register-based long-term (> 14 days) sickness absence. Negative binominal regression was used to estimate the association between sickness absence and average weekly volume of consumption, frequency of HED, and both in interaction. Results: Abstainers, chronic heavy drinkers and respondents with the highest frequency of HED had approximately two-fold higher rates of sickness absence relative to the reference groups, i.e., moderate drinkers and those with HED one to 6 times per year. Adjustment for confounding factors did not materially affect the shape of the risk function. After exclusion of abstainers with alcohol-related problems, or poor health, the estimates for abstainers became non-significant. Moderate drinkers with HED did not have significantly higher rates of sickness absence than moderate drinkers without HED. Conclusions: Our results suggest a significant association between alcohol use and sickness absence. There were indications that the U-shaped risk function may largely be due to health selection bias among abstainers. We found no indication of effect modification of HED on moderate drinking.

Indexed as

average weekly consumptionfrequency of heavy episodic drinkinghealth selection biasrisk functionsickness absence

Identifiers

PMID35310612
PMCPMC8899252

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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.