Content Validity for a Child Care Self-assessment Tool: Creating Healthy Eating Environments Scale (CHEERS)

2016 ◽  
Vol 77 (2) ◽  
pp. 89-92 ◽  
Author(s):  
Lynne Lafave ◽  
Sheila Tyminski ◽  
Theresa Riege ◽  
Diane Hoy ◽  
Bria Dexter
Keyword(s):  
Physical Activity ◽  
Child Care ◽  
Healthy Eating ◽  
Content Validity ◽  
Assessment Tool ◽  
Program Planning ◽  
Content Validation ◽  
Self Assessment ◽  
Physical Activity Environment ◽  
Expert Review

The purpose of this project was to develop and content validate both a formative and summative self-assessment scale designed to measure the nutrition and physical activity environment in community-based child care programs. The study followed a mixed-method modified Ebel procedure. An expert group with qualifications in nutrition, physical activity, and child care were recruited for content validation. The survey was subjected to expert review through digital communication followed by a face-to-face validation meeting. To establish consensus for content validity beyond the standard error of proportion (P < 0.05) the content validity index (CVI) required was ≥0.78. Of the initial 64 items, 44 scored an acceptable CVI for inclusion. The remaining items were discussed, missing concepts identified, and a final CVI employed to determine inclusion. The final tool included 62 items with 5 subscales: food served, healthy eating program planning, healthy eating environment, physical activity environment, and healthy body image environment. Content validation is an integral step in scale development that is often overlooked or poorly carried out. Initial content validity of this scale has been established and will be of value to researchers and practitioners interested in conducting healthy eating interventions in child care.

Nutrition and Physical Activity Self-assessment for Child Care (NAP SACC): Results from a Pilot Intervention

2007 ◽  
Vol 39 (3) ◽  
pp. 142-149 ◽  
Author(s):  
Sara E. Benjamin ◽  
Alice Ammerman ◽  
Janice Sommers ◽  
Janice Dodds ◽  
Brian Neelon ◽  
...  
Keyword(s):  
Physical Activity ◽  
Child Care ◽  
Self Assessment ◽  
Nutrition And Physical Activity ◽  
Pilot Intervention

Development and piloting of a Checklist for healthy eating And Physical Activity in the Workplace (CEPAW)

2020 ◽  
Author(s):  
Rosanne Freak-Poli ◽  
Margaret Brand ◽  
Tara Boelsen-Robinson ◽  
Oliver Huse ◽  
Maximilian de Courten ◽  
...  
Keyword(s):  
Physical Activity ◽  
Health Promotion ◽  
Healthy Eating ◽  
Evaluation Studies ◽  
Self Assessment ◽  
Workplace Environment ◽  
Item Checklist

Abstract To develop and pilot a tool that assesses the infrastructure and policy workplace environment characteristics that may influence employee healthy eating and physical activity behaviours. A checklist was developed with reference to prior tools and piloted at eight worksites. Piloting of the tool demonstrated that it was generally feasible to use, took 1–2 hours to complete and appeared sensitive to differences between workplace environment characteristics. Refinement of the tool occurred after piloting. The final 21-item checklist contains sub-scores capturing policy, infrastructure, healthy eating and physical activity characteristics. This new checklist overcomes some limitations of pre-existing tools as it explicitly considers policy and is short, inexpensive and can be used by workplaces for self-assessment and by health promotion professionals in evaluation studies or as an intervention tool.

scholarly journals A health assessment tool for multiple risk factors for obesity: age and sex differences in the prediction of body mass index

2010 ◽  
Vol 104 (2) ◽  
pp. 298-307 ◽  
Author(s):  
Julie A. Chambers ◽  
Vivien Swanson
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Healthy Eating ◽  
Assessment Tool ◽  
Current Trend ◽  
Eating Behaviour ◽  
Physical Activity Participation ◽  
Activity Participation ◽  
Age Group ◽  
Wide Range

The aim was to establish the relative importance of multiple dietary, activity and other risk factors in determining BMI. A cross-sectional survey was conducted with 322 adults (71 % female; aged 18–79 years; BMI 16·5–40·9 kg/m2) using a previously developed, psychometrically tested, seventy-three-item questionnaire covering a wide range of obesity risk factors (consisting of five dietary, five activity and seven other risk factor subscales). Outcome was self-reported weight and height for BMI, cross-validated with items on clothes size and perceived need to lose weight. Stepwise regression analysis predicted 25–55 % of the variance in BMI with physical activity participation, current and past dieting behaviour, amount eaten, and age being the most important predictors. The association of lower BMI and younger age appeared to be due to higher activity levels, as younger participants reported much less healthy eating behaviour than the older age group. Amount eaten and physical activity participation were stronger predictors of BMI than other factors including healthy eating and use of mechanised transport. Results showed that the relationship between various risk factors and obesity may differ by both sex and age group, suggesting that different interventions may need to be targeted at different groups. The higher-risk eating behaviour observed in younger participants is of concern and needs to be addressed, if the current trend of rising obesity levels is to be halted.

scholarly journals Quality of the infant/toddler feeding and physical activity environment in child care centers

2006 ◽  
Vol 20 (4) ◽  
Author(s):  
Jean Catherine Hamilton ◽  
Heather Wasser ◽  
Margaret E. Bentley
Keyword(s):  
Physical Activity ◽  
Child Care ◽  
Child Care Centers ◽  
Physical Activity Environment

scholarly journals Creating a healthy eating and active environment survey (CHEERS) for childcare: an inter-rater, intra-rater reliability and validity study

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Lynne M. Z. Lafave
Keyword(s):  
Physical Activity ◽  
Internal Consistency ◽  
Healthy Eating ◽  
Concurrent Validity ◽  
Reliability And Validity ◽  
Phase 2 ◽  
Audit Tool ◽  
Rater Reliability ◽  
Physical Activity Environment ◽  
Nutrition And Physical Activity

Abstract Background The CHEERS is a self-administered tool to measure gaps, weaknesses, and strengths of an early childhood education and care (ECEC) centre-based nutrition and physical activity environment. ECEC settings have the potential to profoundly influence early dietary and physical activity behaviours. Content validation of the CHEERS tool has been previously reported. The purpose of this study was to develop reliability and validity evidence for the CHEERS audit tool and the proposed subscales of food served, healthy eating environment, program planning, and physical activity environment in ECEC centre-based programs. Methods This cross-sectional study consisted of 2 phases: Phase 1 included inter-, intra-rater and Cronbach’s α. A subset of this sample was invited to participate in a second survey (Trial 2) for intra-rater assessment within 3 weeks of completing the first survey (Trial 1). Phase 2 included concurrent validity assessment between a nutrition expert and the ECEC director using within a one-week period. Results One hundred two directors and 85 educators (total of 187) returned the survey. Of these, there were 75 matched pairs for inter-rater reliability analysis providing a CHEERS ICC score of 0.59 and ICC scores ranging from 0.40 to 0.58 for the subscales. The ICC for intra-rater reliability of the CHEERS score was 0.81 for 40 participants completing the survey a second time and a range of 0.72 to 0.79 for the subscales. The CHEERS tool demonstrated very good internal consistency (α = 0.91) and α scores ranging from 0.73 to 0.79 for the subscales. In phase 2, concurrent validation was ICC = 0.65 (n = 30) CHEERS scores with a range of 0.42 to 0.69 for the subscales. Conclusions This study provides evidence of inter-, intra-rater reliability, internal consistency, and concurrent validity of an environmental assessment audit tool to assess the nutrition and physical activity environment of ECEC centre-based programs. The results demonstrate that the self-administered CHEERS instrument is stable overtime and between evaluators at the same ECEC centre. The scores obtained with CHEERS self-administered audit tool are reasonably accurate compared to an expert rater (dietitian) assessment. This study adds additional support to establishing the psychometric soundness of the CHEERS tool.

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