Variations in Physical Activity and Screentime According to School Format During the COVID-19 Pandemic.

BACKGROUND: Early studies indicate children's physical activity (PA) decreased during the pandemic but may vary by school format and season. We longitudinally assessed changes in PA and screentime (ST) behaviors throughout 1 year of the COVID-19 pandemic and according to changes in school format. METHODS: Parents of children (5-18 years) completed a survey about school format, home characteristics, PA, and ST. Initial data were collected in November 2020 with follow-up in February, May, and August 2021. Physical activity and ST were compared by season and school format using a 4 (format) × 4 (season) repeated measures analysis of variance. RESULTS: Children were active for at least 60 minutes/day less often in winter (2.4 ± 0.3 days; p < .001; n = 176) than in other seasons. Longitudinal analysis (n = 61) showed that PA was highest among students attending school fully in-person and lowest among students attending remotely, though school format differences were not significant. Non-school ST did not differ by season or school format. IMPLICATIONS FOR SCHOOL HEALTH POLICY, PRACTICE, AND EQUITY: These results suggest that changes in school format influence students' lifestyle behaviors. CONCLUSIONS: The impact on children's lifestyle behaviors should be considered in planning for safe, in-person operation of schools in the event of future pandemics or natural disasters.

Accuracy of Parent-Measured Weight and Height of Preschool Children at Home With Increasing Levels of Instruction.

Background: The purpose of this study was to determine how accurately parents measure their preschool child's weight and height with increasing levels of instruction. Methods: Parents measured their child's (n = 30 dyads) weight (own weight scale) and height (soft tape measure) using three levels of instruction: instructional guide (level 1); guide, demonstration video (level 2); and guide, video, and virtual monitoring (level 3), which were compared to researcher measurements (electronic weight scale, Stadiometer). Paired t-tests were used to determine differences between researcher and parent measurements and between the three parent levels. Inaccurate classifications were calculated using parent-measured values for the four categories (underweight, healthy, overweight, obese). Results: Raw mean parent-measured weights (17.4 ± 2.3 kg) differed from researcher by 0.2 kg (level 1), 0.3 kg (level 2), and 0.1 kg (level 3). Raw mean parent-measured heights (104.0 ± 5.9 cm) differed from researcher by 0.9 cm (level 1, p = 0.005), 0.4 cm (level 2, NS), and 0.3 cm (level 3, NS). Across all levels, 48.9% and 65.5% parents overmeasured their children's weights and heights, respectively. Using parent-measured values, 29.4% of children were classified high while 70.5% were classified low. Parents were more likely to make errors if their children were on the borderline between any of the two weight categories. Conclusion: Findings indicate that an instructional guide with demonstration video is helpful in improving the parents' accuracy of their children's weights and heights. More research is needed to determine accuracy in population other than White parents with high education levels and children under overweight and obese category.

Associations between health-related family environment and objective child sleep quality.

AIM: This study aimed to assess the relationship between the family environment and behaviours with objective child sleep quality. METHODS: Twenty-four children (aged 2-5 years) and their parents participated. Child sleep was assessed by accelerometer. Health of the family environment was quantified using the Family Nutrition and Physical Activity Screening Tool (FNPA). Exact Wilcoxon rank sum tests and linear regression were used to determine associations between FNPA scores and child sleep. RESULTS: Healthier Total FNPA, Physical Activity FNPA, and Sleep Routine scores were associated with earlier bedtime. Healthier Sleep Routine score was associated with more total minutes of sleep per night. Healthier screen time-related FNPA construct scores were associated with earlier bedtime. CONCLUSIONS: A composite score of family environment and behaviours, including physical activity- and nutrition-related constructs, was related to child sleep quality. Focus should be placed on the obesogenic family environment and healthy sleep routines to promote overall health among pre-school-aged populations.

High Prevalence of Diabetes Distress in a University Population.

CONTEXT: Diabetes distress is an affective condition that addresses an individual's frustrations, worries, and concerns about living with diabetes. It is associated with fewer self-care behaviors, suboptimal glycemic control, and lower quality of life (QOL). For these reasons, diabetes care guidelines recommend routine assessment of diabetes distress. OBJECTIVE: To assess diabetes distress in a university population. METHODS: This study was conducted using a descriptive, cross-sectional design. Researchers assessed diabetes distress and other psychosocial factors via an electronic anonymous survey among students, faculty, and staff at a large university in the Midwest. RESULTS: A total of 173 participants completed the survey (mean [SD] age, 35.1 [16.7] years), with 108 [62.4%] female and 142 [82.1%] white participants). Eighty-five participants had type 1 diabetes mellitus (T1DM), and 88 had type 2 diabetes mellitus (T2DM). Of the 85 T1DM participants, 23 (27.4%) reported high diabetes distress, and 27 (30.7%) T2DM participants reported high diabetes distress. Sixteen T1DM (18.8%) and 15 T2DM (17.0%) participants screened positive for severe depression. Severe depression was associated with high distress for both T1DM and T2DM participants (T1DM: χ2=28.845, P<.001; T2DM: χ2=20.679, P<.001). Participants with T1DM reported more frequent self-care behaviors (mean [SD], 62.3 [17.1] vs 52.2 [19.2]; P<.001), but lower diabetes QOL (63.3 [14.1] vs 68.5 [15.5]; P=.021) compared with T2DM participants. No differences were observed in depressive symptoms, diabetes self-efficacy, and coping styles. Linear regression models showed that high diabetes distress scores (standardized ß=.323, P=.025; standardized ß=.604, P<.001) were independently associated with higher hemoglobin A1C levels and lower diabetes QOL after controlling for depressive symptoms, age, and gender in T1DM participants. Similarly, high diabetes distress scores (standardized ß=.434, P<.001) were associated with lower diabetes QOL in T2DM participants after controlling for the same variables. CONCLUSION: High diabetes distress levels were associated with lower diabetes QOL for both T1DM and T2DM participants. These findings suggest that attending or working at a university may be associated with high diabetes distress scores and lower diabetes QOL. Additional research with a larger, more diverse sample from multiple universities is needed to confirm these findings.

Reducing the Stigma of Diabetes in Medical Education: A Contact-Based Educational Approach.

IN BRIEF In this feasibility study, we evaluated the impact of a contact-based education patient panel in an Endocrine and Metabolism course on second-year medical students' diabetes attitudes and diabetes stigma. Prior to the patient panel, some medical students harbored stigma toward people with diabetes, thus confirming patients' reports in the literature of diabetes stigma on the part of health care professionals. Importantly, the one-time contact-based educational approach improved students' diabetes attitudes and reduced diabetes stigma.

What can family medicine providers learn about concussion non-disclosure from former collegiate athletes?

BACKGROUND: Despite the risks, concussion symptoms often go underreported by athletes, leading to delayed or forgone treatment and increased potential for concussion recurrence. One of the most serious long-term consequences of sports-related concussions is Chronic Traumatic Encephelopathy (CTE), a disorder associated with progressive neurological deterioration. The purpose of this study was to explore former collegiate athletes' understanding of concussions and motivations behind concussion non-disclosure in order to better assist family medicine providers in screening for and managing a history of concussions. METHODS: Informed by the theoretical framework Social Cognitive Theory, we conducted focus groups with former collegiate athletes using a field-tested discussion guide. Discussions were transcribed, coded, and analyzed via content and thematic analyses using NVivo 10 software. RESULTS: Thirty-two former collegiate athletes (24.5 ± 2.9 years old, 59.4% female, 87.5% white) participated in 7 focus groups. Three predominant themes emerged: 1) Concussions are Part of the Game: Participants believed that concussions were part of sports, and that by agreeing to play a sport they were accepting the inherent risk of concussions. Importantly, many were not familiar with concussion symptoms and what constituted a concussion; 2) Hiding Concussion Symptoms: Participants said they often hid concussion symptoms from coaches and trainers in order to avoid being taken out of or missing games. Participants were able to hide their concussions because most symptoms were indiscernible to others; and 3) Misconceptions about Concussions in Low Contact Sports: Several participants did not understand that concussions could occur in all sports including low contact or noncontact sports. The former athletes who participated in low contact sports and experienced concussions attributed their concussions to personal clumsiness rather than their sport. CONCLUSIONS: Family medicine providers as well as coaches, athletic trainers, teachers, and parents/guardians should reinforce the message that concussions can occur in all sports and inform patients about the signs and symptoms of concussions. Further, providers should ask all patients if they engaged in high school or collegiate athletics; and if yes, to describe their hardest hit to their head in order to obtain a complete medical history.

Association between the Family Nutrition and Physical Activity Screening Tool and obesity severity in youth referred to weight management.

BACKGROUND: The Family Nutrition and Physical Activity Screening Tool (FNPA) evaluates family behavioural and environmental factors associated with pediatric obesity, but it is unknown if FNPA scores differ among youth across obesity severities. Our aim was to determine the association between the FNPA and obesity severity in youth referred to weight management. METHODS: Upon initiating treatment, height, weight, and the FNPA were collected according to standard procedures. Cut-points for overweight/obesity, severe obesity (SO) class 2, and SO class 3 were calculated. FNPA scores were compared across weight status groups using analysis of covariance, and odds of SO across FNPA quartiles were evaluated with multiple logistic regression. RESULTS: Participants included 564 5-18year old who initiated treatment and completed the FNPA. After adjustment, FNPA scores differed by weight status with higher/healthier scores in youth with overweight/obesity (56.6±8.5) when compared to those with SO class 2 (55.0±7.1; p=0.015) or SO class 3 (53.6±9.0; p<0.001). Compared to those in the highest FNPA quartile, youth in the 2nd quartile had 1.8 (95% CI: 1.1, 2.9) times higher odds of SO, and those in the lowest FNPA quartile had 2.1 (95% CI: 1.3, 3.4) times higher odds of SO. Youth with SO had unhealthier subscale scores among 6 of 10 constructs, including nutritional, physical activity, sedentary, and sleep behaviours. CONCLUSIONS: Results suggest a consistent inverse relationship between the FNPA and adiposity among youth presenting for weight management. The FNPA is a useful metric for programs and clinicians targeting family behaviours and the home environment to combat obesity.

FitKids360: design, conduct, and outcomes of a stage 2 pediatric obesity program.

This paper describes FitKids360, a stage 2 pediatric weight management program. FitKids360 is a physician-referred, multicomponent, low-cost healthy lifestyle program for overweight and obese youth 5-16 years of age and their families. FitKids360 provides an evidence-based approach to the treatment of pediatric overweight by targeting patients' physical activity, screen time, and dietary behaviors using a family-centered approach. The intervention begins with a two-hour orientation and assessment period followed by six weekly sessions. Assessments include lifestyle behaviors, anthropometry, and the Family Nutrition and Physical Activity (FNPA) survey, which screens for obesogenic risk factors in the home environment. Outcomes are presented from 258 patients who completed one of 33 FitKids360 classes. After completing FitKids360, patients increased moderate to vigorous physical activity by 14 minutes (P = 0.019), reduced screen time by 44 minutes (P < 0.001), and improved key dietary behaviors. Overall, FNPA scores increased by 9% (P < 0.001) and 69% of patients with "high risk" FNPA scores at baseline dropped below the "high risk" range by followup. Patients also lowered BMIs (P = 0.011) and age- and sex-adjusted BMI z-scores (P < 0.001) after completing the 7-week program. We hope this report will be useful to medical and public health professionals seeking to develop stage 2 pediatric obesity programs.