Validity and Reliability of the Healthy Families Survey: A Key Component of the Maryland Supplemental Nutrition Assistance Program–Education (SNAP-Ed) Evaluation

Zemeir, Lindsey A.; Butler, James P.; Howard, Donna E.

doi:10.1016/j.jneb.2018.02.004

Cited by 3 publications

(2 citation statements)

References 17 publications

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“…We included two systematic reviews [ 14 , 17 ], yielding no additional screening tools for inclusion. The other 46 articles [ 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 ] described 41 unique screening tools. The majority of the included articles reported on the development and validation of screening tools, whereas their implementation was rarely addressed.…”

Section: Resultsmentioning

confidence: 99%

“…Although not always explicitly stated in the tool’s aim, articles mostly described that the tool focused on factors associated with obesity risk. Ten screening tools were distinctively designed for toddlers (1–3 years old) or preschoolers (3–5 years old) [ 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 ] and another nine for school-aged children (6–12 y) [ 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 ]. Fourteen tools were described as either designed for children in general or did not specify the children’s target age (0–18 y) [ 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 ].…”

Section: Resultsmentioning

confidence: 99%

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Lifestyle Screening Tools for Children in the Community Setting: A Systematic Review

et al. 2022

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Screening of children’s lifestyle, including nutrition, may contribute to the prevention of lifestyle-related conditions in childhood and later in life. Screening tools can evaluate a wide variety of lifestyle factors, resulting in different (risk) scores and prospects of action. This systematic review aimed to summarise the design, psychometric properties and implementation of lifestyle screening tools for children in community settings. We searched the electronic databases of Embase, Medline (PubMed) and CINAHL to identify articles published between 2004 and July 2020 addressing lifestyle screening tools for children aged 0–18 years in the community setting. Independent screening and selection by two reviewers was followed by data extraction and the qualitative analysis of findings. We identified 41 unique lifestyle screening tools, with the majority addressing dietary and/or lifestyle behaviours and habits related to overweight and obesity. The domains mostly covered were nutrition, physical activity and sedentary behaviour/screen time. Tool validation was limited, and deliberate implementation features, such as the availability of clear prospects of actions following tool outcomes, were lacking. Despite the multitude of existing lifestyle screening tools for children in the community setting, there is a need for a validated easy-to-administer tool that enables risk classification and offers specific prospects of action to prevent children from adverse health outcomes.

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