"Everyone can take photos." Feasibility and relative validity of phone photography-based assessment of children's diets - a mixed methods study

Effects of Universal School-Based Parental Support for Children's Healthy Diet and Physical Activity-the Healthy School Start Plus Cluster-Randomised Controlled Trial

Health promotion from an early age is key to preventing unhealthy weight development in childhood, and parental involvement is essential. The school-based Healthy School Start intervention aims to promote healthy dietary and activity habits in the home environment and prevent child obesity through parental support. This study evaluated the effectiveness of the third iteration of the programme on children's dietary and activity behaviours, and body composition through a cluster-randomised controlled trial. The trial included 17 schools (8 intervention) in disadvantaged areas in mid-Sweden with 353 families with 5- to 7-year-old children. The primary outcomes were intake of selected healthy and unhealthy foods and beverages measured using photography. Secondary outcomes were physical activity and sedentary time measured by accelerometry, and measured weight and height. All outcomes were assessed at baseline and post-intervention (8 months). Linear multi-level regression showed significant favourable effects of the intervention for intake of sweet beverages (b =  - 0.17, p = 0.04), intake of healthy foods (b = 0.11, p = 0.04), and more time in moderate to vigorous physical activity during weekdays (b = 5.68, p = 0.02). An unfavourable sub-group effect of the intervention was found for children from families with low education regarding sedentary time on weekends (b = 23.04, p = 0.05). The results align with the previous two trials of the programme, indicating that school-based parental support is a useful approach for health promotion in young children in disadvantaged areas. Trial registration: ClinicalTrials.gov: No. NCT03390725, retrospectively registered on January 4, 2018, https://clinicaltrials.gov/ct2/show/NCT03390725 .

Reliability of a frequency method for assessing vegetable intake using photos among college students: a smart phone approach

OBJECTIVE

To measure the interrater reliability of assessing the frequency of vegetable intake using mobile photos and descriptions.

DESIGN

Repeated measures design.

SETTING

A Midwestern university.

PARTICIPANTS

Undergraduate students (N = 165).

MEASURABLE OUTCOME/ANALYSIS

Number of times each of these vegetable subgroups were consumed daily: dark green vegetables, beans and peas, starchy vegetables, and other vegetables. Analysis: Two raters independently coded meals using mobile photos and descriptions of meals. Cohen κ was calculated to determine interrater reliability.

RESULTS

A value of κ = 0.9 (p < .001) was obtained, indicating an almost perfect agreement between the two raters. Nearly 92% of participants complied with providing photos along with descriptions of their meals.

CONCLUSIONS AND IMPLICATIONS

A frequency method using mobile photos and descriptions of meals is a reliable strategy to assess vegetable consumption. This frequency method can improve data quality, reduce participant burden, and minimize recall bias in college nutrition programs.

Preliminary Validation of Digital Photography to Assess the Home Food Environment

The home food environment (HFE), the availability and accessibility of foods and food products within the home, has a strong influence on healthy eating behaviors. Studies assessing the HFE commonly utilize a home food inventory (HFI) for data collection. However, this approach tends to be burdensome for participants. This study validated a low-burden digital photo method for assessing the home food environment and confirmed that this method is preferred by participants. Study participants completed an HFI, submitted photos of household foods, then identified preference for the HFI or photo reporting method. Researchers completed an HFI based on each participant's photo submissions. Researcher-to-participant and researcher-to-researcher comparisons were made through ANOVA and randomized block analyses to determine concurrent validity and inter-rater reliability. Method preference was assessed using the Z-test. The participant group (N = 53) was predominantly female (68%), young adult (90.5%), and Hispanic or Latino (71.7%). Concurrent validity was initially moderate (ĸ = 0.54); adjustments yielded substantial agreement (ĸ = 0.61). The inter-rater reliability (p = 0.98) demonstrated significant consistency among reviewers. The photo-documentation method was found to be valid and preferred (p = 0.01) for reporting on the HFE. The photo method can be used advantageously to collect quality data.

Technological tools for assessing children's food intake: a scoping review

Technological innovations can standardise and minimise reporting errors in dietary assessment. This scoping review aimed to summarise the characteristics of technological tools used to assess children's food intake. The review followed the Joanna Briggs Institute's manual. The main inclusion criterion was studied that assessed the dietary intake of children 0-9 years of age using technology. We also considered articles on validation and calibration of technologies. We retrieved 15 119 studies and 279 articles were read in full, after which we selected 93 works that met the eligibility criteria. Forty-six technologies were identified, 37 % of which had been developed in Europe and 32⋅6 % in North America; 65⋅2 % were self-administered; 27 % were used exclusively at home; 37 % involved web-based software and more than 80 % were in children over 6 years of age. 24HR was the most widely used traditional method in the technologies (56⋅5 %), and 47⋅8 % of the tools were validated. The review summarised helpful information for studies on using existing tools or that intend to develop or validate tools with various innovations. It focused on places with a shortage of such technologies.

Performance of the Digital Dietary Assessment Tool MyFoodRepo

Digital dietary assessment devices could help overcome the limitations of traditional tools to assess dietary intake in clinical and/or epidemiological studies. We evaluated the accuracy of the automated dietary app MyFoodRepo (MFR) against controlled reference values from weighted food diaries (WFD). MFR's capability to identify, classify and analyze the content of 189 different records was assessed using Cohen and uniform kappa coefficients and linear regressions. MFR identified 98.0% ± 1.5 of all edible components and was not affected by increasing numbers of ingredients. Linear regression analysis showed wide limits of agreement between MFR and WFD methods to estimate energy, carbohydrates, fat, proteins, fiber and alcohol contents of all records and a constant overestimation of proteins, likely reflecting the overestimation of portion sizes for meat, fish and seafood. The MFR mean portion size error was 9.2% ± 48.1 with individual errors ranging between -88.5% and +242.5% compared to true values. Beverages were impacted by the app's difficulty in correctly identifying the nature of liquids (41.9% ± 17.7 of composed beverages correctly classified). Fair estimations of portion size by MFR, along with its strong segmentation and classification capabilities, resulted in a generally good agreement between MFR and WFD which would be suited for the identification of dietary patterns, eating habits and regime types.

Brief parental self-efficacy scales for promoting healthy eating and physical activity in children: a validation study

Background

Brief scales to measure parental self-efficacy (PSE) in relation to children’s obesogenic behaviours have not been developed and validated using more rigorous methodology such as invariance testing, limiting their generalisability to sub-groups.

This study aimed to assess the construct validity and measurement invariance of brief PSE scales for children’s intake of vegetables, soft drinks, and sweets, and physical activity.

Methods

Parents (n = 242) of five-to-seven-year-old children in disadvantaged and culturally diverse settings in Sweden responded to a questionnaire in Swedish with 12 items assessing PSE in relation to healthy and unhealthy behaviours. Construct validity was assessed with confirmatory factor analysis, invariance testing compared the scales by groups of parental sex, education, and child weight status. Criterion validity was evaluated using objective measures of children’s physical activity and semi-objective measures of diet.

Results

Two-factor models showed moderate to excellent fit to the data. Invariance was supported across all groups for healthy behaviour scales. Unhealthy behaviour scales were invariant for all groups except parental education where partial metric invariance was supported. Scales were significantly correlated with physical activity and diet.

Conclusion

This study provides preliminary evidence for the validity of brief PSE scales and invariance across groups suggesting their utility for research and clinical management of weight-related behaviours.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-10581-7.

Validation of a life-logging wearable camera method and the 24-h diet recall method for assessing maternal and child dietary diversity

Accurate and timely data are essential for identifying populations at risk for undernutrition due to poor-quality diets, for implementing appropriate interventions and for evaluating change. Life-logging wearable cameras (LLWC) have been used to prospectively capture food/beverage consumed by adults in high-income countries. This study aimed to evaluate the concurrent criterion validity, for assessing maternal and child dietary diversity scores (DDS), of a LLWC-based image-assisted recall (IAR) and 24-h recall (24HR). Direct observation was the criterion method. Food/beverage consumption of rural Eastern Ugandan mothers and their 12-23-month-old child (n 211) was assessed, for the same day for each method, and the IAR and 24HR DDS were compared with the weighed food record DDS using the Bland-Altman limits of agreement (LOA) method of analysis and Cohen's κ. The relative bias was low for the 24HR (-0·1801 for mothers; -0·1358 for children) and the IAR (0·1227 for mothers; 0·1104 for children), but the LOA were wide (-1·6615 to 1·3012 and -1·6883 to 1·4167 for mothers and children via 24HR, respectively; -2·1322 to 1·8868 and -1·7130 to 1·4921 for mothers and children via IAR, respectively). Cohen's κ, for DDS via 24HR and IAR, was 0·68 and 0·59, respectively, for mothers, and 0·60 and 0·59, respectively, for children. Both the 24HR and IAR provide an accurate estimate of median dietary diversity, for mothers and their young child, but non-differential measurement error would attenuate associations between DDS and outcomes, thereby under-estimating the true associations between DDS - where estimated via 24HR or IAR - and outcomes measured.