Spanish adaptation and validation of the Child Food Security Survey Module (CFSSM-S)

Autor: Eva Penelo, David Sánchez-Carracedo, Albert Fornieles Deu, Nithya Shankar-Krishnan
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona
Public Health Nutr
ISSN: 1368-9800
Popis: ObjectiveThe present study aimed to assess the: (i) internal structure of the Spanish Child Food Security Survey Module (CFSSM-S) with exploratory and confirmatory factor analysis (EFA and CFA); (ii) measurement invariance by gender, grade, weight status, socio-economic status (SES) and family affluence; and (iii) relationships with these external variables.DesignA cross-sectional study was conducted. The CFSSM-S and other tools were employed to assess food insecurity, weight status, SES and family affluence, respectively.SettingA secondary school (grades 7–10) in the city of Terrassa in Catalonia, Spain.SubjectsParticipants included adolescent boys and girls (n426) aged 12–17 years.ResultsThe cross-validation design with EFA and CFA captured a single factor, ‘food insecurity’. The goodness-of-fit for the one-factor model with CFA (root-mean-square error of approximation=0·038, comparative fit index=0·984, Tucker–Lewis index=0·979) and internal consistency (ω=0·95) were excellent. The measurement invariance indicated that CFSSM-S could be used across genders, grades, weight status, SES and family affluence. Only mean differences for SES and family affluence were found which showed a linear trend, indicating higher CFSSM-S scores for participants with lower SES and family affluence. Of participants, 1·9 % experienced very low food security, 16·4 % low food security and 81·7 % were food secure.ConclusionsThe CFSSM-S is the first validated instrument to assess food insecurity with psychometric guarantees in Spanish adolescents. Researchers and health practitioners in Spain could use this self-reported questionnaire to gain more information about adolescent health in relation to food insecurity.
Databáze: OpenAIRE