Construct Validity of an Obesity Risk Screening Tool in Two Age Groups

Home environment factors associated with child BMI changes during COVID-19 pandemic

BACKGROUND

The influence of home obesogenic environments, as assessed by the validated Family Nutrition and Physical Activity (FNPA) tool, and child obesity during the COVID pandemic were evaluated using electronic health records in this retrospective cohort study.

METHODS

Historical data on BMI and the FNPA screening tool were obtained from annual well-child visits within the Geisinger Health System. The study examined youth ages 2-17 that had a BMI record and an FNPA assessment prior to the pandemic (BMI 3/1/19-2/29/20), 1 BMI record 3 months into the pandemic (6/1/20-12/31/20) and 1 BMI in the second year of the pandemic (1/1/21-12/31/21). Tertiles of obesity risk by FNPA score were examined. Mixed-effects linear regression was used to examine change in BMI slope (kg/m2 per month) pre-pandemic to pandemic using FNPA summary and subscales scores as predictors and adjusting for confounding factors.

RESULTS

The analyses included 6,746 children (males: 51.7%, non-Hispanic white: 86.6%, overweight:14.8%, obesity:10.3%, severe obesity: 3.9%; mean(SD) age: 5.7(2.8) years). The rate of BMI change in BMI was greatest from early pandemic compared to pre-pandemic for children in lowest versus highest tertiles of FNPA summary score (0.079 vs. 0.044 kg/m2), FNPA-Eating (0.068 vs. 0.049 kg/m2), and FNPA-Activity (0.078 vs. 0.052 kg/m2). FNPA summary score was significantly associated with change in BMI from the pre-pandemic to early pandemic period (p = 0.014), but not associated with change in BMI during the later pandemic period.

CONCLUSIONS

This study provides additional insight into the changes in the rate of BMI change observed among children and adolescents in the United States during the COVID-19 pandemic. The FNPA provides ample opportunity to continue our exploration of the negative impact of the COVID-19 pandemic on the longitudinal growth patterns among children and adolescents.

Childhood Obesity and Early Body Mass Index Gains Associated with COVID-19 in a Large Rural Health System

OBJECTIVE

To evaluate body mass index (BMI) change among a population of children with a high proportion residing in rural areas across two pandemic time periods.

METHODS

Electronic health records were evaluated in a rural health system.

INCLUSION CRITERIA

2-17 years at initial BMI; >2 BMIs during pre-pandemic (January 1, 2018-February 29, 2020); >1 BMI in early pandemic (June 1, 2020-December 31, 2020); and >1 BMI in later pandemic (January 1, 2021-December 31, 2021). Mixed effects linear regression models were used to estimate average monthly rate of change in BMI slope (∆BMI) from pre-pandemic to pandemic and test for effect modification of sex, race/ethnicity, age, BMI, public insurance, and rural address.

RESULTS

Among the 40,627 participants, 50.2% were female, 84.6% were non-Hispanic white, 34.9% used public insurance, and 42.5% resided in rural areas. The pre-pandemic proportion of children with overweight, obesity, and severe obesity was 15.6%, 12.8%, and 6.3%, respectively. The ∆BMI nearly doubled during the early pandemic period compared with the pre-pandemic period (0.102 vs 0.055 kg/m2), however, ∆BMI in the later pandemic was lower (0.040 vs 0.055 kg/m2). ∆BMI remained higher in the later pandemic for all race categories compared to Non-Hispanic white. Children with public insurance had higher ∆BMI compared to those with private insurance that remained higher in the later pandemic (0.051 vs 0.035 kg/m2). There was no significant difference between ∆BMI for rural and urban children during pandemic periods.

CONCLUSIONS

Despite the decreased ∆BMI among children in the later pandemic, prevalence of obesity and severe obesity remain high. Efforts must continue to be made to limit excess weight gain during childhood and to assess the impact of forces like structural and social factors in both etiology and prevention.

The Relationship Between Nutrition-Physical Activity Behaviors of Autistic Children with Their Families and Children's Obesity Levels During Covid Pandemic

The family has a key role in the obesity management of children with autism. This study examines the relationship between the nutrition-physical activity behaviors of autistic children with their families and children's obesity levels during covid-19 pandemic. The descriptive and cross-sectional study involved 80 parents of autistic children. A positive correlation was found between children's mean BMI values before and during the pandemic(p = 0.000). Family Nutrition and Physical Activity Scale(FNPAS) and Brief Autism Mealtime Behavior Inventory(BAMBI) score were 55.18 ± 7.86 and 31.76 ± 8.79, respectively. In addition, it was found that 32.5% of the children ate more than before the pandemic, 50.0% engaged in less physical activity, and 16.3% didn't do any physical activity. The study results suggesting the risk of obesity.

Improving Health Behaviors and Weight Parameters With Motivational Interviewing and the TEEEN Program in an Ethnically and Socioeconomically Diverse Pediatric Population

Objective

Obesity affects 14.7 million children and adolescents in the United States. Children's health behaviors are affected by parental health practices. Therefore, pediatric obesity interventions should include parents. The objective of this study was to assess the changes in self-reported health behaviors in a diverse population attending the TEEEN program, with motivational interviewing of child-parent dyads as a key component, for 1 year.

Methods

Here we assessed the changes in Family and Nutrition and Physical Activity (FNPA) screening tool scores, a tool that assesses obesogenic behaviors, in the context of MI of child-parent dyads in a racially, ethnically, and socioeconomically diverse population who attended the TEEEN (Teens, Empowerment, Education, Exercise, Nutrition) program, a nonclinic and family-based behavior program in Massachusetts, for 1 year.

Results

Participation in the TEEEN program, which includes MI of child-parent dyads, was associated with a significant increase in the overall FNPA score (median change= 4 points, P = .007). We observed that 76.5% of children experienced a decrease in BMI% and BMI z-score. The change in BMI% (median= -0.9, P = .006) and change in BMI z-score (median= -0.2, P = .008) were statistically significant.

Conclusion

Participation in the TEEEN program seemed to be beneficial based on aspects of the FNPA screening tool and changes in weight parameters. The FNPA screening tool enhanced-motivational interviewing of child-parent dyads shows promise as an approach to address obesogenic behaviors. This study provides a detailed framework for medical providers to address pediatric obesity in a nonclinic setting with less time constraints.

The Family Nutrition and Physical Activity Survey: Comparisons with Obesity and Physical Activity in Adolescents with Autism Spectrum Disorder

Adolescents with autism spectrum disorder (ASD) are at a heightened risk for obesity. Family-level measures of nutrition and physical activity may help explain factors contributing to disproportionate rates of weight gain. Twenty adolescents with ASD participated in baseline testing for a study to assess the feasibility of remotely-delivered yoga. Parents completed the Family Nutrition and Physical Activity (FNPA) survey and anthropometrics and physical activity were assessed in the adolescents. A median split was applied to the FNPA score to create high and low obesogenic environments and nonparametric O'Brien's multiple endpoint tests were used to evaluate the differences. Between-group differences were found in anthropometrics (p = 0.01) but not physical activity (p = 0.72). Implications for a multifaceted family-based approach to obesity prevention are discussed.

Comparing enhancements to well-child visits in the prevention of obesity: ENCIRCLE cluster-randomized controlled trial

BACKGROUND

Obesity disproportionally impacts rural, lower-income children in the United States. Primary care providers are well-positioned to engage parents in early obesity prevention, yet there is a lack of evidence regarding the most effective care delivery models. The ENCIRCLE study, a pragmatic cluster-randomized controlled trial, will respond to this gap by testing the comparative effectiveness of standard care well-child visits (WCV) versus two enhancements: adding a patient-reported outcome (PRO) measure (PRO WCV) and PRO WCV plus Food Care (telehealth coaching and a grocery store tour).

METHODS

A total of 2,025 parents and their preschool-aged children (20-60 months of age) will be recruited from 24 Geisinger primary care clinics, where providers are randomized to the standard WCV, PRO WCV, or PRO WCV plus Food Care intervention arms. The PRO WCV includes the standard WCV plus collection of the PRO-the Family Nutrition and Physical Activity (FNPA) risk assessment-from parents. Parents complete the PRO in the patient-portal or in the clinic (own device, tablet, or kiosk), receive real-time feedback, and select priority topics to discuss with the provider. These results are integrated into the child's electronic health record to inform personalized preventive counseling by providers. PRO WCV plus Food Care includes referrals to community health professionals who deliver evidence-based obesity prevention and food resource management interventions via telehealth following the WCV. The primary study outcome is change in child body mass index z-score (BMIz), based on the World Health Organization growth standards, 12 months post-baseline WCV. Additional outcomes include percent of children with overweight and obesity, raw BMI, BMI50, BMIz extended, parent involvement in counseling, health behaviors, food resource management, and implementation process measures.

DISCUSSION

Study findings will inform health care systems' choices about effective care delivery models to prevent childhood obesity among a high-risk population. Additionally, dissemination will be informed by an evaluation of mediating, moderating, and implementation factors.

TRIAL REGISTRATION

ClinicalTrials.gov identifier (NCT04406441); Registered May 28, 2020.

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

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.

Family-Based Telehealth Initiative to Improve Nutrition and Physical Activity for Children With Obesity and Its Utility During COVID-19: A Mixed Methods Evaluation

Guidelines recommend primary care providers refer children with obesity to behavioral interventions, but given limited program availability, access, and parental engagement, referrals remain rare. We developed telehealth coaching interventions for families whose children received care at a health system in Pennsylvania, United States in 2019-2020. Intervention referrals were facilitated by the pediatrician and/or project team for 6–12-year-old children with obesity following well-child visits. Participants chose one of three 26-week interventions focused on healthy eating, physical activity, or a hybrid clinical/nutrition intervention. Interventions engaged parents as change agents, enhancing self-efficacy to model and reinforce behavior and providing resources to help create a healthy home environment. We enrolled 77 of 183 eligible parent/child dyads. We used mixed methods to evaluate the interventions. Repeated measures models among participants showed significant reductions in obesogenic nutrition behaviors post-intervention and at 1-year follow-up, including a reduction in sugar-sweetened beverage intake of 2.14 servings/week (95% confidence interval: −3.45, −0.82). There were also improvements in obesoprotective nutrition behaviors (e.g., frequency of family meals, parental self-efficacy related to meal management). One year post-baseline, we observed no significant differences in changes in body mass index (BMI) z-scores comparing child participants with matched controls. Given potential impacts of COVID-19 community restrictions on study outcomes, we conducted qualitative interviews with 13 participants during restrictions, which exemplified how disrupted routines constrained children’s healthy behaviors but that intervention participation prepared parents by providing cooking and physical activities at home. Findings support the potential of a telehealth-delivered nutrition intervention to support adoption of healthy weight behaviors.

Association of Family Nutrition and Physical Activity with Preschooler's Working Memory: A Cross-Sectional Study among Mexican Children

Healthy eating and active lifestyles are associated with children’s healthy weight and cognitive development. This study examines whether family behaviors relevant for nutrition and activity levels are associated with children’s working memory, independent of their weight status. A convenience sample of child–caregiver dyads (n = 85 dyads) were recruited from a public preschool serving a low-income community in central Mexico. Caregivers reported the frequency of ten family behaviors using the Family Nutrition and Physical Activity screening tool. Children completed a test of their ability to recall four words after a 60-s distraction task, an assessment of working memory. Multiple linear regression models were used to test the association of children’s working memory with each family behavior, adjusting for children’s sex, age, mother’s age and education, and subjective social status and then also adjusting for children’s age- and sex-specific body mass index percentile (BMI-P) and covariates. Higher frequency of breakfast intake was significantly associated with working memory (β = 0.57, p = 0.013). This association was independent of children’s BMI-P. Other family behaviors (frequent family mealtimes, limiting screen time, and others) were not significantly associated with children’s working memory. Frequent breakfast intake could benefit young children’s working memory, regardless of their weight status. This association merits further investigation.

Two sides of the same well-child visit: Analysis of nurses' and families' perspectives on empowerment in health counselling

AIMS

To explore the degree of empowering health counselling in well-child visits, considering nurse and family perspectives and to examine its associated factors.

BACKGROUND

Empowerment has gained high priority in the world health strategy, being claimed for its benefits for people's health and well-being.

DESIGN

The design includes an exploratory cross-sectional, correlational study.

METHODS

We collected data between January 2018-October 2019 from a convenience sample of 82 families attending a 5-year-old well-child visit and 25 nurses at Portuguese health centres. Families and nurses assessed the same counselling session using parallel statements of the Portuguese Empowering Speech Practice Scale, grouped in two subscales (nurses' action and families' action). Questionnaires also included the Parent's Longitudinal Continuity in Primary Care scale, the Family Nutrition and Physical Activity tool and anthropometric and sociodemographic questions. We employed descriptive statistics, paired-samples t-test, analysis of variance and regression analysis.

RESULTS

Both nurses and families reported that empowerment had been practiced in high degree. The most practiced elements were those from nurses' action subscale (e.g. constructing a positive atmosphere) and the least practiced were from families' action (e.g. disclosure). A discrepancy between nurses' and families' ratings were found for individualized information and advice, disclosure and asking questions, with families reporting higher scores. Nurses' formal training in empowerment and obesity was associated with higher scores on the nurses' action subscale. The families' limited experience with a regular health centre and nurse and families having children with overweight were both associated with lower scores on the two subscales.

CONCLUSIONS

Although the positive experience by nurses and families is an important finding, the reasons for the differences in perceptions of empowerment require further research.

IMPACT

The Portuguese Empowering Speech Practice Scale can be a useful tool to evaluate services, both from professionals' and families' perspectives and to identify areas of improvement.

Feasibility of enhancing well-child visits with family nutrition and physical activity risk assessment on body mass index

OBJECTIVE

Integration of behavioural risk assessment into well-child visits is recommended by clinical guidelines, but its feasibility and impact is unknown.

METHODS

A quasi-experimental study evaluated the feasibility and effectiveness of risk assessment on body mass index (BMI) at 1-year follow-up. Children with assessments (intervention) were compared with those who did not complete assessments (non-respondent) and those who received standard care (non-exposed).

RESULTS

Analyses included 10,647 children aged 2-9 years (2,724 intervention, 3,324 non-respondent and 4,599 non-exposed). Forty-five per cent of parents completed the assessments. Intervention and non-respondent groups differed in change in BMI z-score at 1 year by -0.05 (confidence interval [CI]: -0.08, -0.02; P = 0.0013); no difference was observed with non-exposed children. The intervention group had a smaller increase in BMI z-score (0.07 ± 0.63) than non-respondent group (0.13 ± 0.63). For children with normal weight at baseline, intervention versus non-respondent groups differed in BMI z-score change by -0.06 (CI: -0.10, -0.02; P = 0.0025). However, children with overweight at baseline in the intervention versus the non-exposed group differed in BMI z-score change (0.07 [CI: 0.02, 0.14]; P = 0.016). When analysed by age, results were similar for 2- to 5-year-olds, but no differences were found for 6- to 9-year-olds.

CONCLUSION

Automating risk assessment in paediatric care is feasible and effective in promoting healthy weight among preschool but not older children.

Evaluation of a Primary Care Weight Management Program in Children Aged 2⁻5 years: Changes in Feeding Practices, Health Behaviors, and Body Mass Index

BACKGROUND

Primary care offers a promising setting for promoting parenting practices that shape healthy eating and physical activity behaviors of young children. This study assessed the impact of a parent-based, primary care intervention on the feeding habits, health behaviors, and body mass index (BMI) of 2⁻5 year olds with elevated or rapidly-increasing BMI.

METHODS

Four private pediatric offices in West Michigan were assigned as control (n = 2) or intervention (n = 2) sites based on patient load and demographics. Treatment families were recruited at well-child visits to receive physician health-behavior counseling and four visits with a registered dietitian nutritionist (RDN) over a 6-month period. Intervention outcomes were age- and sex-specific BMI metrics, including BMI z-scores and percent of the 95th percentile (%BMI_p95), the Family Nutrition and Physical Activity survey (FNPA), and the Feeding Practices and Structure Questionnaire (FPSQ).

RESULTS

Of 165 enrolled families, 127 completed follow-up measures (77% retention). Mean (±SD) FNPA scores improved in treatment vs. control (4.6 ± 4.6 vs. 0.1 ± 4.2; p < 0.001), and screen time (h/day) decreased (-0.9 ± 1.8 vs. 0.3 ± 1.1; p < 0.001). Non-responsive feeding practices (i.e., reward for behavior (p = 0.006) and distrust in appetite (p < 0.015)) and structure-related feeding practices (structured meal timing (p < 0.001)) improved in treatment parents vs. controls. Reductions in child BMI measures did not differ between groups.

CONCLUSIONS

Families with preschool children participating in a low-intensity, primary care intervention improved obesogenic health behaviors, parent feeding habits, and child screen time, but not child adiposity. Future research should assess the sustainability of these family lifestyle improvements, and evaluate their future impact on the health and development of the children.

An Obesity Risk Assessment Tool for Young Children: Validity With BMI and Nutrient Values

OBJECTIVE

Demonstrate validity and reliability for an obesity risk assessment tool for young children targeting families' modifiable home environments.

DESIGN

Longitudinal design with data collected over 100 weeks.

SETTING

Head Start and the Special Supplemental Nutrition Program for Women, Infants, and Children.

PARTICIPANTS

Parent-child pairs (n = 133) provided food behavior assessments; 3 child-modified, 24-hour dietary recalls; 3 ≥ 36-hour activity logs; and measured heights and weights.

MAIN OUTCOME MEASURE

Five measures of validity and 5 of reliability.

RESULTS

Validity was excellent for the assessment tool, named Healthy Kids, demonstrating an inverse relationship with child body mass index percentile-for-age (P = .02). Scales were significantly related to hypothesized variables (P ≤ .05): fruit or vegetable cup equivalents; folate; vitamins A, C, and D; β-carotene; calcium; fiber; sugar; screen, sleep, and physical activity minutes; and parent behaviors. Measures of reliability were acceptable.

CONCLUSIONS AND IMPLICATIONS

Overall, children with higher Healthy Kids scores had a more healthful profile as well as lower body mass index percentiles-for-age 1.5 years later. Healthy Kids has potential for use by nutrition professionals as a screening tool to identify young children most at risk for excess weight gain, as an evaluation to assess intervention impact, and as a counseling tool to tailor intervention efforts. Future research should include validation in other settings and with other populations.