Evidence map›Paper›PMID 26276447›Full record

ArticleHealth and quality of life outcomes2015

Evaluation of smoking-specific and generic quality of life measures in current and former smokers in Germany and the United States.

John E Ware, Barbara Gandek, Anuradha Kulasekaran, Rick Guyer

Open access · goldAbstract readComparative Study
In one paragraph

Article in Health and quality of life outcomes, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

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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

4 authors at 4 institutions in 2 countries.

John E WareJohn Ware Research Group, 10 Wheeler Court, Watertown, MA, 02472, USA. john.ware@jwrginc.com.
Barbara GandekJohn Ware Research Group, 10 Wheeler Court, Watertown, MA, 02472, USA. barbara.gandek@jwrginc.com.
Anuradha KulasekaranBritish American Tobacco (Investments) Ltd., Group Research & Development, Regents Park Road, Southampton, SO15 8TL, UK. dranu23@gmail.com.
Rick GuyerJohn Ware Research Group, 10 Wheeler Court, Watertown, MA, 02472, USA. rick.guyer@jwrginc.com.
Brightpoint Community College · USBritish American Tobacco (United Kingdom) · GBElgin Community College · USJK Research (United States) · US

Funding

Computerized Adaptive Assessment of Disease ImpactR44AG025589 · NIA · JOHN WARE RESEARCH GROUP, INC. · PI WARE, JOHN E · 2009 to 2011
$3.0M
Measuring Multimorbidity with Individualized Disease-specific QOL Impact ScalesR21HS023117 · AHRQ · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI WARE, JOHN E · 2014 to 2014
$180k
AHRQ HHS R21 HS023117AHRQ HHS R21HS023117NIA NIH HHS R44 AG025589NIA NIH HHS R44AG025589
6 · The paper itself

Abstract

backgroundHealth-related quality of life (QOL) surveys include generic measures that enable comparisons across conditions and measures that focus more specifically on one disease or condition. We evaluated the psychometric properties of German- and English-language versions of survey scales representing both types of measures in samples of current and former smokers.

methodsTQOLIT(™)v1 integrates new measures of smoking-specific symptoms and QOL impact attributed to smoking with generic SF-36 Health Survey measures. For purposes of evaluation, cross-sectional data were analyzed for two independent samples. Disease-free (otherwise healthy) adults ages 23-55 used a tablet to complete surveys in a clinical trial in Germany (125 current and 54 former smokers). Online general population surveys were completed in the US by otherwise healthy current and former smokers (N = 149 and 110, respectively). Evaluations included psychometric tests of assumptions underlying scale construction and scoring, score distributions, and reliability. Tests of validity included cross-sectional correlations and analyses of variance based on a conceptual framework and hypotheses for groups differing in self-reported smoking behavior (current versus former smoker, cigarettes per day (CPD)) and severity of smoking symptoms in both samples and, in the German trial only, clinical parameters of biomarkers of exposure.

resultsTests of scaling assumptions and internal consistency reliability (alpha = 0.71-0.79) of the smoking-specific measures were satisfactory, although ceiling effects attenuated correlations for former smokers in both samples. Correlational evidence supporting validity of smoking-specific symptom and impact measures included their substantial inter-correlation and higher correlations (than generic measures) with smoking behavior (favoring former over current groups) and CPD in both samples. In the German trial, both smoking-specific measures correlated significantly (p < 0.05) with all four biomarkers. QOL impact attributed to smoking correlated with the SF-36 mental but not physical summary measures in both samples.

conclusionsGerman- and English-language TQOLITv1 surveys have comparable and satisfactory psychometric properties. Cross-sectional tests, including correlations with four biomarkers, support the validity of the new smoking-specific measures for use in studies of otherwise healthy smokers. Smoking-specific measures consistently performed better than generic QOL measures in all tests of validity.

Indexed as

Health SurveysAdultCross-Sectional StudiesFemaleGermanyHumansMaleMiddle AgedPsychometricsQuality of LifeReproducibility of ResultsSelf ReportSmokingUnited StatesYoung Adult

Identifiers

PMID26276447
PMCPMC4537546
OpenAlexW1945654122

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.