Citations

Background: Childhood obesity is associated with dyslipidemia, fatty liver disease, and type 2 diabetes. Expert guidelines recommend screening for these conditions in children with obesity. Aims and objectives: The objective of the study was to compare rates of laboratory screening for dyslipidemia, fatty liver disease, and type 2 diabetes in children with obesity prior to and following implementation of a point-of-care decision support tool. Methods: We performed a retrospective record review of children with body mass index (BMI) ≥95th percentile for age and gender (age 7–18 years) undergoing well-child/sports examination visits. Multivariable logistic regression models were used to adjust for patient and provider confounders. Results: There was no increase in the rates of screening following implementation of the point-of-care decision support tool. Tests were more likely to be recommended in children with severe obesity and in females. Conclusions: The implementation of a point-of-care decision support tool was not associated with improvement in screening rates for dyslipidemia, fatty liver disease, and type 2 diabetes for children with obesity. Further strategies are needed to improve rates of screening for obesity-related comorbid conditions in children with obesity.

The prevalence of childhood obesity continues to rise despite decades of clinical and public health efforts. Early identification of children at risk of developing obesity is essential using newer electronic health systems, which move beyond traditional growth charts to provide a wealth of information about body mass index and other relevant parameters such as social determinants of health and comorbid conditions. For children who already have obesity, there are several evidence-based strategies health care providers can use as they work with patients and families to mitigate the effects. First and foremost, providers should address the issue; unfortunately, weight is often not discussed in clinical practice. In addressing the issue, providers should support families through effective, positive relationships. Providers must be aware of their biases; their language should be appropriate and nonstigmatizing. Helpful interventions should focus on behavior, not weight, health, or appearance. Motivational interviewing may be used to promote healthful behaviors: supportive parenting, regular exercise, healthful food choices, minimal screen time, and optimal sleep. There is limited evidence for the efficacy of specific weight loss diets. Both medication and bariatric surgery are indicated for select adolescents who have severe disease unresponsive to behavioral management.

Objectives: This systematic review evaluated the accuracy of triaxial and omnidirectional accelerometers for measuring physical activity and sedentary behavior in children. Design: Systematic review of the literature. Methods: We comprehensively searched several databases for studies published from January 1996 through June 2018 that reported diagnostic accuracy measures in children and adolescents (age 3-18 years) and compared accelerometers with energy expenditure using indirect calorimetry. Results: We included 11 studies that enrolled 570 participants. All studies used indirect calorimetry as the reference standard. Across the studies, median sensitivity ranged from 46% to 96% and median specificity ranged from 71% to 96%. Median area under the curve ranged from 69% to 98%. Conclusions: Accuracy measures were greatest when detecting sedentary behavior and lowest when detecting light physical activity. Accuracy was higher when the accelerometer was placed on the hip compared with the wrist. The current evidence suggests that triaxial and omnidirectional accelerometers are accurate in measuring sedentary behavior and physical activity levels in children.

Objective: Much has been written about the patients’ perspective concerning weight management in health care. The purpose of this survey study was to assess perspectives of primary care providers (PCPs) and nurses toward patient weight management and identify possible areas of growth. Patients and Methods: We emailed a weight management–focused survey to 674 eligible participants (437 [64.8%] nurses and 237 [35.2%] PCPs) located in 5 outpatient primary care clinics. The survey focused on opportunities, practices, knowledge, confidence, attitudes, and beliefs. A total of 219 surveys were returned (137 [62.6%] from nurses and 82 [34.4%] from PCPs). Results: Among 219 responders, 85.8% were female and 93.6% were white non-Hispanic. In this study, PCPs and nurses believed obesity to be a major health problem. While PCPs felt more equipped than nurses to address weight management ( P < .001) and reported receiving more training than nurses (50.0% vs 17.6%, respectively), both felt the need for more training on obesity (73.8% and 79.4%, respectively). Although, PCPs also spent more patient contact time providing weight management services versus nurses ( P < .001), the opportunity/practices score was lower for PCPs than nurses (−0.35 ± 0.44 vs −0.17 ± 0.41, P < .001) with PCPs more likely to say they lacked the time to discuss weight and they worried it would cause a poor patient-PCP relationship. The knowledge/confidence score also differed significantly between the groups, with nurses feeling less equipped to deal with weight management issues than PCPs (−0.42 ± 0.43 vs −0.03 ± 0.55, P < .001). Neither group seemed very confident, with those in the PCP group only answering with an average score of neutral. Conclusion: By asking nurses and PCP general questions about experiences, attitudes, knowledge, and opinions concerning weight management in clinical care, this survey has identified areas for growth in obesity management. Both PCPs and nurses would benefit from additional educational training on weight management.

Summary Objective Patient–provider communication has been found to be less patient centred, on average, with patients who are members of stigmatized or minority groups. Obesity is a stigmatized condition, and thus, people with obesity may experience less patient‐centred communication (PCC). The objective of this study was to assess the association between patient body mass index (BMI) and self‐reported quality of PCC experienced over a 12‐month period and whether that relationship differed for men and women. Methods Data collected for the National Cancer Institute's Health Information National Trends Survey were analysed. Respondents who reported a BMI ≥ 18.5 kg/m 2 and indicated having seen a healthcare provider outside of an emergency room in the last 12 months were included. PCC was measured using a validated six‐item scale. Multivariate logistic regression was used to model the odds of reporting PCC greater than the sample median. Results Compared with people with normal weight BMIs, no associations were found between overweight (odds ratio [OR] = 0.84, p = 0.17), class I & II obesity (OR = 0.94, p = 0.68) or class III obesity (OR = 0.86, p = 0.47) and PCC. There was a significant interaction ( p = 0.015) such that for men, but not women, higher BMI was associated with less PCC. Conclusion Unlike evidence that women experience more weight stigma, in the healthcare domain, men may be at elevated risk of experiencing communication influenced by weight stigma.

Abstract Background Adverse childhood experiences ( ACE s) are associated with adult high‐risk behaviors and diseases. There is value in screening parents for ACE s given the repercussions parental ACE s may have on parenting behaviors and child development. The primary aim of this study was to assess the feasibility of parental ACE screening in the home setting. A secondary aim was to evaluate whether or not maternal ACE s correlated with maternal mental health measures. Methods Two home visiting programs that support early childhood development and conduct parental mental health screening implemented ACE screening for parents of infants <1 year of age. Descriptive statistics were produced for population surveillance of ACE s as well as standard practice screens for depression, anxiety, substance use, and intimate partner violence. Logistic models were used to examine associations between ACE score and mental health measures. Results A total of 110 parents completed the ACE screen. All possible ACE score outcomes were represented (0–10). A trend toward association of positive prenatal maternal depression screen with ACE score was identified ( p = .05). Conclusion This novel prospective home‐based screening program for parental ACE s was feasible and identified a trend toward increasing ACE score association with positive prenatal maternal depression screen.

The prevalence of childhood obesity has increased over the past 3 decades. This study was designed to understand how childhood body mass index (BMI) influences later risk of obesity. We calculated BMIs for children residing in Olmsted County, Minnesota, between January 1, 2005 and December 31, 2012 using medical records data. We defined homogenous BMI trajectory clusters using a nonparametric hill-climbing algorithm. Overall, 16,538 (47%) children had >3 weight assessments at least 1 year apart and were included in the analyses. Within the 8-year follow-up period, children who were younger than 2 years and overweight had a 3- fold increase of obesity (adjusted hazard ratio [HR] = 3.24; 95% confidence interval [CI] = 2.69-3.89) and those aged 5 years and overweight had a 10-fold increased risk of obesity (adjusted HR = 9.97, 95% CI = 8.55-11.62). Three distinct BMI trajectories could be distinguished prior to 5 years of age. The risk of developing obesity in those who are overweight increased dramatically with increasing age. Interventions to prevent obesity need to occur prior to school age to prevent children from entering unhealthy BMI trajectories.

AbstractBackgroundChildhood obesity is underdiagnosed in primary care practices. Our study aimed to compare rates of documentation of diagnosis of obesity and counselling for nutrition and physical activity at an academic primary care practice prior to and following implementation of a body mass index (BMI)‐based electronic point of care clinical reminder tool.MethodsWe performed a retrospective record review of children aged 2–18 years undergoing well child visits during any of three calendar years (2009, 2011 and 2013). The electronic clinical reminder tool was implemented in September 2010. Records of children with BMI > 95th percentile were electronically searched for terms of documentation of diagnosis of obesity and nutrition and physical activity counselling. Multivariable logistic regression models were used to adjust for potential patient and provider confounders.ResultsAmong those with BMI ≥ 95th percentile, there was a statistically significant increase in documentation of diagnosis of obesity (45.5% in 2009 vs. 52.4% in 2011; P < 0.001; adjusted odds ratio 1.36; 95% CI 1.13–1.65) and in counselling for physical activity and nutrition (66.8% in 2009 vs. 75.2% in 2011; P < 0.001; adjusted odds ratio 1.33; 95% CI 1.06–1.66) following implementation of the tool. Compared with 2011, there was no statistically significant increase in documentation of obesity (50.4%) or nutrition and physical activity counselling (77.9%) in 2013.ConclusionsThe implementation of a point of care clinical reminder tool was associated with improvement in documentation of diagnosis of obesity and counselling for nutrition and physical activity. Further studies are needed to determine the impact of these automated tools on weight outcomes in children.

Background: Pediatric obesity is a significant public health problem with a prevalence of 16.9% among US children. School-based obesity interventions show promise for reducing adiposity in elementary age children. This pilot study evaluated the impact of the Let’s Go! 5-2-1-0 pediatric obesity intervention program in an elementary school setting. Methods: This was a cluster randomized controlled field trial comprising 8 classrooms of second- and third-grade children. The impact of implementation of a standardized 5-2-1-0 curriculum was evaluated in the classrooms by looking at health behavior (self-reported fruit and vegetable and sugar-containing beverage intake, and screen time), physical activity (steps measured by pedometer), and body mass index (BMI). Half of the classrooms were given 5-2-1-0 teaching over a 4-month period. Results: There was no statistical difference in improvement of healthy habits, BMI, or physical activity in the intervention group compared with the control group. Conclusions: The 5-2-1-0 intervention used in this study was feasible. There was no significant change in healthy habits, likely due to the small number of participants in the study. The intervention and control sites were in different classrooms and there could be factors such as teacher enthusiasm, socioeconomic factors, and individual traits affecting habits. Future studies could use pre- and post-intervention quizzes to assess healthy habits knowledge retention, involving the environments the child participates in outside of school, using research-grade pedometers or accelerometers for measuring activity data collection, and recruiting larger samples to ensure adequate statistical power.

Objective: The purpose of our study was to compare the clinical utility of administering 2 recommended developmental screening instruments, the Infant Developmental Inventory (IDI) and the Ages and Stages Questionnaire (ASQ), at 9-month well-child visits in paper format. Methods: Outcomes of the 2 screens, including correct completion and interpretation by clinician, time of visit, and screen outcome were compared. Results: Out of 33 children administered the ASQ and with documented scores, 12 (36.4%) did not receive passing scores, while 5 (12.2%) of the 41 children administered the IDI did not receive passing scores ( P = .014). Out of 41 IDI screens, 12 (29.3%) were completed incorrectly, while there were no ASQ screens completed incorrectly ( P < .001) by caregivers. Conclusion: In our pilot study, the ASQ is more often completed correctly by caregivers and identifies more children at risk for delay as compared with the IDI. Additional larger scale studies are needed to evaluate the usefulness of developmental screening tools when used within primary care practice.