Development and validation of a food and nutrition literacy questionnaire for Chinese school-age children

2020 ◽  
Author(s):  
Tan Liu ◽  
Xiao Su ◽  
Niuniu Li ◽  
Jing Sun ◽  
Guansheng Ma ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Literature Review ◽  
Exploratory Factor Analysis ◽  
Internal Consistency ◽  
Pearson Correlation ◽  
School Age Children ◽  
School Age ◽  
Food And Nutrition ◽  
Chinese School ◽  
Core Components

Abstract Background : This study aimed to develop and validate a Food and Nutrition Literacy Questionnaire for Chinese School-age Children (FNLQ-SC). Methods : A comprehensive literature review and a qualitative study were initially performed to identify food and nutrition literacy dimensions and core components. A cross-sectional survey was conducted in 4359 school-age children, and the junior middle school students were used to analyze the reliability and validity (n=2452). The reliability of the questionnaire was determined by internal consistency. The construct validity was assessed by exploratory factor analysis (EFA), and the content validity was assessed by Pearson correlation coefficient. Results : By literature review and qualitative methods, 19 core components of FNLQ-SC were developed, including five dimensions of food and nutrition knowledge, the ability of access, selection, preparing of food and healthy eating. The overall FNLQ-SC questionnaire had high internal consistency (Cronbach’s α = 0.698). The exploratory factor analysis of skill components extracted 5 factors which were included in the conceptual framework, but a little different model, and cumulative contribution of variance accounted to 50.60％. The commonality was more than 0.20 for all components. The Pearson correlation coefficients between dimensions and total questionnaire were from 0.370 to 0.877. For all 4395 students, the average FNLQ-SC score of all participants was 61.91 ± 9.22, the score of knowledge and understanding was higher than that of skill dimensions. Multiple linear regression analysis indicated not only the social demographic characteristics (girls, only child, non-resident in school, urban registered permanent residence, in a more affluent family, and cared by their parents/grandparents with a higher education level), but also the home food environment were the predictors of food and nutrition literacy in school-age children (R 2 =0.226, F =81.401, P <0.05). Conclusion : The developed Food and Nutrition Literacy Questionnaire (FNLQ-SC) had good reliability, and it could potentially be a useful instrument for assessing food and nutrition literacy for Chinese school-age children.

scholarly journals Development and validation of a food and nutrition literacy questionnaire for Chinese school-age children

PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0244197
Author(s):  
Tan Liu ◽  
Xiao Su ◽  
Niuniu Li ◽  
Jing Sun ◽  
Guansheng Ma ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Literature Review ◽  
Internal Consistency ◽  
Pearson Correlation ◽  
School Age Children ◽  
School Age ◽  
Food And Nutrition ◽  
Chinese School ◽  
Core Components ◽  
Skill Dimensions

Background This study aimed to develop and validate the Food and Nutrition Literacy Questionnaire for Chinese School-age Children (FNLQ-SC). Methods A comprehensive literature review and qualitative study were initially performed to identify the dimensions and core components of food and nutrition literacy. A cross-sectional survey of 4359 school-age children was conducted, and junior middle school students were used to analyze the reliability and validity of the questionnaire (n = 2452). The reliability of the questionnaire was determined by internal consistency, the construct validity was assessed by exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), and the content validity was assessed by the Pearson correlation coefficient. Results From the literature review and qualitative methods, 19 core components of the FNLQ-SC were developed, including one dimension of food and nutrition knowledge and understanding, and four skill dimensions (ability of access, selection, preparing food and healthy eating). The overall FNLQ-SC questionnaire had acceptable internal consistency (Cronbach’s α = 0.698). The EFA of skill components extracted 5 factors that were included in the conceptual framework in a slightly different model, and the cumulative contribution of variance accounted for 50.60% of the overall variance. The CFA of skill components showed an acceptable fit in general and the root mean square error of approximation (RMSEA) was 0.070 (between 0.50 to 0.80). The communality was greater than 0.20 for all components. The Pearson correlation coefficients between each dimension and the overall questionnaire ranged from 0.370 to 0.877. The average FNLQ-SC score of all 4395 participants was 61.91 ± 9.22, and the score for the knowledge and understanding dimension was higher than that for the skill dimensions. Multiple linear regression analysis indicated that not only social demographic characteristics (being a girl, being an only child, living someplace other than at school, having an urban registered permanent residence status, being from an affluent family, and being cared for by parents/grandparents with a higher education level) but also the home food environment were predictors of food and nutrition literacy in school-age children (R2 = 0.226, F = 81.401, P<0.05). Conclusion The Food and Nutrition Literacy Questionnaire (FNLQ-SC) developed here had good reliability, and it can potentially be a useful instrument for assessing food and nutrition literacy among Chinese school-age children.

Food and Nutrition Literacy Questionnaire for Chinese School-age Children

2021 ◽  
Author(s):  
Tan Liu ◽  
Xiao Su ◽  
Niuniu Li ◽  
Jing Sun ◽  
Guansheng Ma ◽  
...  
Keyword(s):  
School Age Children ◽  
School Age ◽  
Food And Nutrition ◽  
Chinese School

scholarly journals Relationships of Family Food Environment with Food and Nutrition Literacy in Chinese School-Age Children

2020 ◽  
Author(s):  
Niuniu Li ◽  
Xiao Su ◽  
Tan Liu ◽  
Jing Sun ◽  
Wenli Zhu
Keyword(s):  
Food Environment ◽  
Primary Schools ◽  
Information Management System ◽  
School Age Children ◽  
School Age ◽  
Nutritional Knowledge ◽  
Food And Nutrition ◽  
Chinese School ◽  
Grade 3 ◽  
Family Food Environment

Abstract Background Eating behavior is influenced by multiple factors and understanding the interplay of these factors is necessary to promote children’s healthy food choices. This study investigated the relations of family food environment (FFE) factors with food and nutrition literacy (FNL) in Chinese school-age children.Methods A total of 605 children aged 7 ~ 13 years from grade 1 to 5, and their caregivers participated in the cross-sectional study in Beijing of China during April 2019. The FFE was assessed by the validated Family Food Environment Questionnaire for Chinese School-age Children (FFEQ-SC). For the children of grade 3 to 5 (n = 260), the FNL, including cognitive and skill domains, was assessed by Food and Nutrition Literacy Questionnaire for Chinese School-age Children (FNLQ-SC). Both FFEQ-SC and FNLQ-SC were developed firstly for Chinese school-age children and had good reliability. The anthropometric data (height and weight) was derived from local health information management system for primary schools.Results Overall, 68.9% of the children’s families had higher level of FFE. The total FNL score of 260 children from grade 3–5 was 63.23 ± 10.32. Comparison of children’s FNL score among different levels of FFE showed the children with higher level of FFE, especially higher level of caregiver’s educational degree and FNL, were more likely to have significant higher FNL scores (P < 0.05). The multivariate analysis showed the children’s total FNL score was significantly related with family caregiver (β= -0.123, P = 0.04) and caregiver’s nutritional literacy (β = 0.210, P = 0.002). Furthermore, the children with higher level of caregiver’s nutritional knowledge were less likely to be overweight or obesity (OR = 0.043, P = 0.04).Conclusions and Implications: Family food environment, especially caregivers’ FNL, were significantly related with children’s FNL, even the risk of overweight. These findings highlight the importance of targeting nutritional knowledge of family caregivers to facilitate the children’s FNL to maintain good health.

scholarly journals Relationships of Family food environment with food and nutrition literacy in Chinese school-age children

2021 ◽  
Author(s):  
Niuniu Li ◽  
Xiao Su ◽  
Tan Liu ◽  
Jing Sun ◽  
Wenli Zhu
Keyword(s):  
Food Environment ◽  
Primary Schools ◽  
Information Management System ◽  
School Age Children ◽  
School Age ◽  
Nutritional Knowledge ◽  
Food And Nutrition ◽  
Chinese School ◽  
Grade 3 ◽  
Family Food Environment

Abstract Background: Eating behavior is influenced by multiple factors and understanding the interplay of these factors is necessary to promote children’s healthy food choice. This study investigated the relations of family food environment (FFE) with food and nutrition literacy (FNL) in Chinese school-age children.Methods: A total of 605 children aged 7-13 years from Grade 1 to 5, and their caregivers participated in the cross-sectional study in Beijing of China during April 2019. The FFE was assessed by the validated Family Food Environment Questionnaire for Chinese School-age Children (FFEQ-SC). For the children of Grade 3 to 5 (n=260), the FNL, including cognitive and skill domains, was assessed by Food and Nutrition Literacy Questionnaire for Chinese School-age Children (FNLQ-SC). Both FFEQ-SC and FNLQ-SC were developed firstly for Chinese school-age children who had good reliability. The anthropometric data (height and weight) was derived from local health information management system for primary schools.Results: Overall, 68.9% of the children’s families had high level of FFE. The total FNL score of 260 children at Grade 3-5 was 63.2±10.3. Comparison of children’s FNL scores among different levels of FFE showed the children with higher level of FFE, especially higher level of caregiver’s educational degree and FNL, were more likely to have higher FNL scores (P<0.05). The multivariate analysis showed the children’s total FNL score was significantly related with family caregiver (β= -0.123, P=0.04) and caregiver’s nutritional literacy (β= 0.210, P=0.002). Furthermore, the children with higher level of caregiver’s nutritional knowledge were less likely to be overweighted or obesese (OR=0.043, P=0.04).Conclusions: Family food environment, especially caregivers’ FNL, was related with children’s FNL, even the risk of overweight. These findings highlight the importance of targeting nutritional knowledge of family caregivers to facilitate the children’s FNL to maintain good health.

Understanding Perception of Weight Stigma: Development and Validation of Perceived Weight Stigmatization Scale

2020 ◽  
Vol 34 (4) ◽  
pp. 869-897
Author(s):  
Atiqa Rafeh ◽  
Rubina Hanif
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
University Students ◽  
Exploratory Factor Analysis ◽  
Internal Consistency ◽  
Weight Stigma ◽  
Principal Component Factor Analysis ◽  
Confirmatory Factor ◽  
Perceived Weight ◽  
Weight Stigmatization

The present study was intended to develop a scale to measure perceived weight stigmatization among people with obesity. The study was conducted in five steps. In first step, three focus group discussions were conducted with female obese university students to get the first-hand information related to weight stigmatization. Step two involved four interviews which were conducted with male obese university students to collect detailed information about weight stigmatization experiences of men. Step three included content analysis of qualitative data for item generation. In step four, judge’s opinion was taken, and a committee approach was carried out to select the items for the initial form of the scale. Items for final form of the scale were selected through exploratory factor analysis and confirmatory factor analysis in step five. For exploratory factor analysis, 150 university students (men = 61, women = 89) were included in the sample, whereas, for confirmatory factor analysis, another group of students (men = 78, women = 72) participated in the study. Principal Component Factor Analysis revealed three meaningful structures including Self-Perception, Perceived Social Rejection, and Perceived Impact containing 43 items. Confirmatory factor analysis confirmed this factor structure and all 43 items possessed factor loadings greater than .40. Moreover, results indicated that perceived weight stigmatization had high internal consistency (Cronbach’s alpha = .96) with three subscales having internal consistency .95, .83, and .92 respectively. Therefore, Perceived Weight Stigmatization Scale turned out to be a reliable and valid instrument for measuring perception of weight stigma in adults with obesity.

scholarly journals The development of a contextually appropriate measure of psychological distress in Sierra Leone

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Rebecca Horn ◽  
Kanykey Jailobaeva ◽  
Stella Arakelyan ◽  
Alastair Ager
Keyword(s):  
Mental Health ◽  
Factor Analysis ◽  
Psychological Distress ◽  
Sierra Leone ◽  
Exploratory Factor Analysis ◽  
Internal Consistency ◽  
Phase 1 ◽  
Cronbach’S Alpha ◽  
Cronbach's Alpha ◽  
Distress Scale

Abstract Background Studies of psychological distress in Sierra Leone have typically used measures which were developed for use in other contexts, and which often have not been adapted or validated for use in Sierra Leone. This has resulted in a lack of reliable information about the patterns of psychological distress within the population, which is a barrier to the development of effective and appropriate mental health services. The aim of the study was to develop a locally-appropriate measure of psychological distress for Sierra Leone. Methods The new measure consists of two instruments: the Sierra Leone Psychological Distress Scale (SLPDS) and a gendered measure of ability to carry out daily tasks—a Function scale—as an indication of the severity of distress. A three-phase mixed methods exploratory sequential study was conducted. Phase 1 was item generation and testing, leading to the development of a set of potential items for both instruments. Phase 2 was a small pilot study (N = 202) leading to the selection of the final set of items for both measures. Phase 3 was a validation phase where the SLPDS and the Function scale were administered with a larger sample of 904 respondents. Item analysis was used to assess the internal consistency of the scales, and Exploratory Factor Analysis to explore the properties of the SLPDS. Results Exploratory factor analysis using the principal axis factoring with an oblique rotation identified a three-factor structure for the 18-item SLPDS. Internal consistency for the SLPDS (Cronbach’s alpha = 0.89) and three subscales was good (Cronbach’s alpha > 0.73). The internal reliability of the male and female versions of the Function scale was also found to be acceptable (Cronbach’s alpha = 0.90 for the female scale and 0.79 for the male scale). Conclusions Together the SLPD and Function scales provide a locally-validated tool which will enable government bodies and local and international non-governmental organisations in Sierra Leone to assess mental health and psychosocial needs. This will support both effective service provision and the evaluation of initiatives designed to improve mental health and psychosocial wellbeing.

A-196 The Texas Postconcussion Symptom Inventory (TPSI): An Exploratory Factor Analysis and Reliability Analysis

2021 ◽  
Vol 36 (6) ◽  
pp. 1251-1251
Author(s):  
Anthony J Longoria ◽  
Ben K Mokhtari ◽  
Tawny Meredith-Duliba ◽  
Mary A Hershberger ◽  
Patricia Champagne ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Internal Consistency ◽  
Clinical Sample ◽  
Somatic Symptoms ◽  
Self Report ◽  
Future Research ◽  
Symptom Inventory ◽  
Multidimensional Measure ◽  
Three Factor

Abstract Objective Self-report scales are commonly used to evaluate non-specific symptoms following concussion. While several scales have been developed, few were created using a systematic process and most contain several ambiguous items that may be misinterpreted. To address this, a new theoretically-based, multidimensional measure was designed to assess Cognitive, Neuropsychiatric, and Somatic symptoms associated with concussion. This study used sophisticated psychometric techniques to develop the Texas Postconcussion Symptom Inventory (TPSI) and establish initial reliability and validity. Method Because concussion symptoms are non-specific, a pool of 76 potential items was developed and administered to a diverse clinical sample (N = 350) that included patients with concussion, epilepsy, and dementia. Polychoric correlations were utilized to remove items based on poor fit/multicollinearity and an exploratory factor analysis (EFA) with an Oblimin rotation was used to determine factor structure. Results A three-factor model best fit the data, and represented Cognitive, Neuropsychiatric, and Somatic domains as designed. Ten items were discarded, resulting in a total of 66 items. The model explained 48.5% of the total variance and contained adequate sampling (Kaiser-Meyer-Olkin measure =0.92) and sufficient item correlations (Bartlett’s Test of Sphericity, p &lt; 0.05) for EFA. All three factor structures displayed high internal consistency (Cronbach’s α &gt; 0.88). Conclusions The TPSI is a brief, multidimensional measure with evidence of strong internal consistency and reliability as well as distinct Cognitive, Neuropsychiatric, and Somatic symptoms associated with concussion. Future research will investigate its convergent and divergent validity in concussion as compared to existing popular symptom measures.

scholarly journals Patients’ views on the implementation of artificial intelligence in radiology: development and validation of a standardized questionnaire

2019 ◽  
Vol 30 (2) ◽  
pp. 1033-1040 ◽  
Author(s):  
Yfke P. Ongena ◽  
Marieke Haan ◽  
Derya Yakar ◽  
Thomas C. Kwee
Keyword(s):  
Artificial Intelligence ◽  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Internal Consistency ◽  
Latent Variables ◽  
Procedural Knowledge ◽  
Patient Questionnaire ◽  
Successful Implementation ◽  
Personal Interaction ◽  
Five Factors

Abstract Objectives The patients’ view on the implementation of artificial intelligence (AI) in radiology is still mainly unexplored territory. The aim of this article is to develop and validate a standardized patient questionnaire on the implementation of AI in radiology. Methods Six domains derived from a previous qualitative study were used to develop a questionnaire, and cognitive interviews were used as pretest method. One hundred fifty-five patients scheduled for CT, MRI, and/or conventional radiography filled out the questionnaire. To find underlying latent variables, we used exploratory factor analysis with principal axis factoring and oblique promax rotation. Internal consistency of the factors was measured with Cronbach’s alpha and composite reliability. Results The exploratory factor analysis revealed five factors on AI in radiology: (1) distrust and accountability (overall, patients were moderately negative on this subject), (2) procedural knowledge (patients generally indicated the need for their active engagement), (3) personal interaction (overall, patients preferred personal interaction), (4) efficiency (overall, patients were ambiguous on this subject), and (5) being informed (overall, scores on these items were not outspoken within this factor). Internal consistency was good for three factors (1, 2, and 3), and acceptable for two (4 and 5). Conclusions This study yielded a viable questionnaire to measure acceptance among patients of the implementation of AI in radiology. Additional data collection with confirmatory factor analysis may provide further refinement of the scale. Key Points • Although AI systems are increasingly developed, not much is known about patients’ views on AI in radiology. • Since it is important that newly developed questionnaires are adequately tested and validated, we did so for a questionnaire measuring patients’ views on AI in radiology, revealing five factors. • Successful implementation of AI in radiology requires assessment of social factors such as subjective norms towards the technology.

Trends in the Prevalence of Overweight and Obesity among Chinese School-Age Children and Adolescents from 2010 to 2015

2018 ◽  
Vol 14 (3) ◽  
pp. 182-188 ◽  
Author(s):  
Jing Zhang ◽  
Xinyue Li ◽  
Nicola Hawley ◽  
Zhijie Zheng ◽  
Zhen Zou ◽  
...  
Keyword(s):  
Children And Adolescents ◽  
Overweight And Obesity ◽  
School Age Children ◽  
School Age ◽  
Chinese School
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