Validity of the international physical activity questionnaire short form (IPAQ-SF) in adults : a systematic review
Notice bibliographique
Résumé
Background \nAccording to the World Health Organization, sedentary lifestyle is a worldwide phenomenon nowadays and it is associated with many chronic diseases. Thus the promotion of active lifestyle is a public health priority. “The International Physical Activity Questionnaire Short Form” (IPAQ-SF) is recommended as an efficient and cost-effective tool for physical activity (PA) assessment. The validity of IPAQ-SF has been studied with inconsistent results within different age groups. This systematic review is aimed at analyzing and synthesizing validation tests of IPAQ-SF in adults. \n \nMethods \nPublished articles were searched with keywords of “International Physical Activity Questionnaire Short Form”, “IPAQ-SF”, “validation”, “validity”, and “adults” in bibliographic database “PubMed”, “Google scholar”, “Chinese National Knowledge Infrastructure” and “Wanfang Database”. Inclusion and exclusion criteria were applied and the results were extracted and summarized. \n \nResults \nTwelve studies published from January 2006 to January 2015 were included in this systematic review. Four studies were from North America (USA 2, Canada 1, Mexico 1), 1 study from South America (Brazil), 3 studies from Asia (Japan, Hong Kong, China), 2 studies from Europe (Norway and Greece), and 2 studies from Africa (Nigeria). Sample size ranged from 102 to 629 and subjects were aged from 23 to 51. The 12 papers included 14 validation analyses, using gold standards of objective movement assessments (6), objective fitness assessments (6), double labeled water (1) and physical activity log (1). \n \nFor the total PA score, the range of Spearman correlation r were -0.02 to 0.38 (mean 0.21) overall, 0.12 to 0.38 (mean 0.24) for studies using movement-assessment tools as the gold standard, and -0.02 to 0.36 (mean 0.19) for studies using fitness-assessing tools as the gold standard. None of the studies achieved the acceptable level of Spearman correlation r of 0.5. \n \nFor the specific PA score, higher Spearman correlation r was obtained for vigorous PA score (range -0.26 to 0.47, mean 0.24) than moderate PA score (range -0.09 to 0.5, mean 0.13), and walking PA score (range -0.05 to 0.17, mean 0.09). \n \nFor the accuracy of IPAQ-SF, only 5 papers reported the absolute difference of metabolic equivalent task (MET) between IPAQ-SF and gold standard. IPAQ-SF over-estimated MET in 4 studies, with “IPAQ- SF MET/ Criterion MET” ratio ranged from 1.11 to 6.41; IPAQ-SF under-estimated MET in 1 study, with an “IPAQ-SF MET/ Criterion MET” ratio of 0.52. \n \nConclusions \nThe validity of IPAQ-SF as measured by Spearman correlation r of 12 studies was low to moderate at best. Higher validity was obtained for vigorous PA than moderate PA and walking. IPAQ-SF also tended to overestimate MET. Given the difficulty of measuring PA objectively, IPAQ-SF is still useful in estimating physical activity, especially in large-scale studies. Future research should investigate the validity of IPAQ-SF in various subgroups (e.g. by age, sex, education level) to identify those with higher validity. Improved versions of IPAQ-SF and new scales could also be developed and examined.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,017 | 0,074 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,008 | 0,008 |
| Bibliométrie | 0,010 | 0,012 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».