Participatory development and implementation of intervention programmes to change the nutrition- and physical activity behaviour
Notice bibliographique
Résumé
Participation and empowerment are important components in intervention studies, in order to establish participant satisfaction and to strengthen sustainability. These important aspects were already mentioned in the Ottawa Charter (ratified in 1986). So far, participatory research methods are widely used especially in Anglo-American and Scandinavian countries. Thus, the transfer of scientifically proven participatory research methods to the German setting is recommended. In addition, the adaptation of evidence-based, theory-driven and quality-ensured projects is requested for local settings. The main scientific theme of this cumulative thesis is the analysis and evaluation of participation as a core element in prevention and health promotion studies. The thesis is based on two studies, IDEFICS and OptimaHl 60plus in both the intervention was developed and implemented in a participatory way. An important aspect of both interventions is the change of dietary and physical activity behaviour through a structural and behavioural prevention. Diet and physical activity in children (IDEFICS-study) and older adults (OptimaHl 60plus) play a vital role to be healthy and active and to ultimately stay autonomous. A balanced diet and sufficient physical activity give the opportunity to reduce risk factors and prevent diseases. The background and findings of this research are presented in five chapters. After a short introduction and the description of the scientific background (Chapter 1), the following two chapters present the participatory development and implementation of interventions to change the health behaviour (Chapter 2) and the participatory recruitment to interventions (Chapter 3). Chapter 4 comprises two articles on the evaluation of interventions that were developed in a participatory way. Chapter 5 discusses the findings and draws conclusions. The findings of this thesis show that scientifically proven participatory aspects can successfully be transferred to the German setting. Participatory research methods (such as focus groups) were applied in both studies (Chapter 2). An intervention mapping protocol was used to ensure that the two interventions were developed using a theory-driven and participatory approach (Chapter 2). The evidence-base of both studies as well as of the given intervention recommendations is ensured (Chapters 1, 5). Furthermore, participation is an important aspect in the recruitment and compliance of study participants as described in detail in Chapter 3. It is also possible to evaluate interventions applying participatory measures. However, in both studies a participatory evaluation was not aimed for because this could possibly have jeopardised the scientific objectivity and publication of results (Chapter 5). Participation in intervention development and implementation is desirable. However, as part of the evaluation it bears potential hazards. Going beyond this general conclusion, some recommendations for future studies as well as implications for research, practice and politics are outlined in Chapter 5.
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 | 0,075 | 0,050 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,003 | 0,002 |
| Études des sciences et des technologies | 0,004 | 0,005 |
| Communication savante | 0,005 | 0,003 |
| Science ouverte | 0,003 | 0,012 |
| Intégrité de la recherche | 0,003 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 0,002 |
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 ».