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

Autor: Shankar-Krishnan, Nithya, Penelo, Eva, Fornieles Deu, Albert, Sánchez-Carracedo, David, Sánchez-Carracedo, David
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Zdroj: Public Health Nutrition; Oct2018, Vol. 21 Issue 15, p2753-2761, 9p
Abstrakt: Objective: The 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.Design: A cross-sectional study was conducted. The CFSSM-S and other tools were employed to assess food insecurity, weight status, SES and family affluence, respectively.Setting: A secondary school (grades 7-10) in the city of Terrassa in Catalonia, Spain.Subjects: Participants included adolescent boys and girls (n 426) aged 12-17 years.Results: The 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.Conclusions: The 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. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index