Evidence map›Paper›PMID 37289701›Full record

ArticlePloS one2023

Development and initial validation of the German version of the Exergame Enjoyment Questionnaire (EEQ-G).

Patrick Manser, Simone Huber, Julia Seinsche, Eling D de Bruin, Eleftheria Giannouli

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Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Patrick ManserDepartment of Health Sciences and Technology, Motor Control and Learning Group-Institute of Human Movement Sciences and Sport, ETH Zurich, Zurich, Switzerland.ORCID 0000-0003-3300-6524
Simone HuberDepartment of Health Sciences and Technology, Motor Control and Learning Group-Institute of Human Movement Sciences and Sport, ETH Zurich, Zurich, Switzerland.ORCID 0000-0003-2878-804X
Julia SeinscheDepartment of Health Sciences and Technology, Motor Control and Learning Group-Institute of Human Movement Sciences and Sport, ETH Zurich, Zurich, Switzerland.
Eling D de BruinDepartment of Health Sciences and Technology, Motor Control and Learning Group-Institute of Human Movement Sciences and Sport, ETH Zurich, Zurich, Switzerland.ORCID 0000-0002-6542-7385
Eleftheria GiannouliDepartment of Health Sciences and Technology, Motor Control and Learning Group-Institute of Human Movement Sciences and Sport, ETH Zurich, Zurich, Switzerland.ORCID 0000-0001-7762-1348

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnalyzing and adjusting training programs to increase exercise enjoyment is crucial to achieve long-term adherence and thus also maximize health benefits. The Exergame Enjoyment Questionnaire (EEQ) is the first questionnaire specifically developed to monitor exergame enjoyment. To be used in German speaking countries, the EEQ must be translated, cross-culturally adapted, and tested on its psychometric properties.

objectivesThe aim of this study was to develop (i.e., translate and cross-culturally adapt) the German Version of the EEQ (EEQ-G) and investigate its psychometric properties.

methodsPsychometric properties of the EEQ-G were tested using a cross-sectional study design. Each participant performed two consecutive exergame sessions (i.e., 'preferred' and 'unpreferred' condition) in randomized order and rated the EEQ-G as well as reference questionnaires. Internal consistency of the EEQ-G was assessed by calculating Cronbach's α. Construct validity was assessed by calculating Spearman's rank correlation coefficients (rs) between the scores of the EEQ-G and reference questionnaires. Responsiveness was analyzed by performing a Wilcoxon signed-rank test between the median EEQ-G scores of the two conditions.

resultsFourty-three healthy older adults (HOA; mean age = 69.4 ± 4.9 years; 53.5% females) were included. Cronbach's α of the EEQ-G was 0.80. The rs values between the EEQ-G and reference questionnaire scores for intrinsic motivation, game enjoyment, physical activity enjoyment, and external motivation were 0.198 (p = 0.101), 0.684 (p < 0.001), 0.277 (p = 0.036), and 0.186 (p = 0.233), respectively. The EEQ-G was rated higher in the 'preferred' than the 'unpreferred' condition (p < 0.001, r = 0.756).

conclusionThe EEQ-G has high internal consistency and is responsive to changes in exergame enjoyment. The highly skewed data with ceiling effects in some of the reference questionnaires deem the construct validity of the EEQ-G to be inconclusive and thus in need of further evaluation.

Indexed as

ExergamingPleasureAgedCross-Cultural ComparisonCross-Sectional StudiesFemaleHumansMaleMiddle AgedPsychometricsReproducibility of ResultsSurveys and QuestionnairesTranslatingTranslations

Identifiers

PMID37289701
PMCPMC10249825

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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.