scholarly journals Evaluation of a Primary Care Intervention on Body Mass Index: The Maine Youth Overweight Collaborative

2015 ◽  
Vol 11 (2) ◽  
pp. 187-193 ◽  
Author(s):  
Steven L Gortmaker ◽  
Michele Polacsek ◽  
Lisa Letourneau ◽  
Victoria W. Rogers ◽  
Robert Holmberg ◽  
...  
Keyword(s):  
Primary Care ◽  
Body Mass Index ◽  
Body Mass ◽  
Care Intervention

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

Nutrients ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 498 ◽  
Author(s):  
Jared Tucker ◽  
Renee DeFrang ◽  
Julie Orth ◽  
Susan Wakefield ◽  
Kathleen Howard
Keyword(s):  
Physical Activity ◽  
Primary Care ◽  
Body Mass Index ◽  
Health Behaviors ◽  
Body Mass ◽  
Screen Time ◽  
Feeding Habits ◽  
Feeding Practices ◽  
Care Intervention ◽  
The Impact

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 (%BMIp95), 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.

scholarly journals Body mass index and lifetime healthcare utilization

2019 ◽  
Author(s):  
Christina Hansen Edwards ◽  
Eline Aas ◽  
Jonas Minet Kinge
Keyword(s):  
Primary Care ◽  
Body Mass Index ◽  
Healthcare Utilization ◽  
Body Mass ◽  
Secondary Care ◽  
Positive Association ◽  
Normal Weight ◽  
Overweight And Obesity ◽  
Care Utilization ◽  
Global Public Health

Abstract Background: Overweight and obesity is a major global public health challenge, and understanding the implications for healthcare systems is essential for policy planning. Past studies have typically found positive associations between obesity and healthcare utilization, but these studies have not taken into consideration that obesity is also associated with early mortality. We examined associations between body mass index (BMI, reported as kg/m2) and healthcare utilization with and without taking BMI-specific survival into consideration. Methods: We used nationally representative data on 33 882 adults collected between 2002 and 2015. We computed BMI- and age-specific primary and secondary care utilization and multiplied the estimated values with gender-, age-, and BMI-specific probabilities of surviving to each age. Then, we summed the average BMI-specific utilization between 18 and 85 years. Results: During a survival-adjusted lifetime, males with normal weight (BMI: 18.5–24.9) had, on average, 167 primary care, and 77 secondary care contacts. In comparison, males with overweight (BMI: 25.0–29.9), category I obesity (BMI: 30.0–34.9), and category II/III obesity (BMI ≥35.0) had 11%, 41%, and 102% more primary care, and 14%, 29%, and 78% more secondary care contacts, respectively. Females with normal weight had, on average, 210 primary care contacts and 91 secondary care contacts. Females with overweight, category I obesity, and category II/III obesity had 20%, 34%, and 81% more primary care contacts, and 26%, 16%, and 16% more secondary care contacts, respectively. Conclusion: The positive association between BMI and healthcare utilization was reduced, but not offset, when BMI-specific survival was taken into consideration. Our findings underpin previous research and suggest that interventions to offset the increasing prevalence of overweight, and especially obesity, are warranted.

scholarly journals Completeness and accuracy of anthropometric measurements in electronic medical records for children attending primary care

2018 ◽  
Vol 25 (1) ◽  
pp. 19-26 ◽  
Author(s):  
Sarah Carsley ◽  
Catherine S. Birken ◽  
Patricia C. Parkin ◽  
Eleanor Pullenayegum ◽  
Karen Tu
Keyword(s):  
Primary Care ◽  
Body Mass Index ◽  
Electronic Medical Records ◽  
Body Mass ◽  
Medical Records ◽  
Data Access ◽  
World Health ◽  
Z Score ◽  
Data Completeness ◽  
Weight Data

BackgroundElectronic medical records (EMRs) from primary care may be a feasible source of height and weight data. However, the use of EMRs in research has been impeded by lack of standardisation of EMRs systems, data access and concerns about the quality of the data.ObjectivesThe study objectives were to determine the data completeness and accuracy of child heights and weights collected in primary care EMRs, and to identify factors associated with these data quality attributes.MethodsA cross-sectional study examining height and weight data for children <19 years from EMRs through the Electronic Medical Record Administrative data Linked Database (EMRALD), a network of family practices across the province of Ontario. Body mass index z-scores were calculated using the World Health Organization Growth Standards and Reference.ResultsA total of 54,964 children were identified from EMRALD. Overall, 93% had at least one complete set of growth measurements to calculate a body mass index (BMI) z-score. 66.2% of all primary care visits had complete BMI z-score data. After stratifying by visit type 89.9% of well-child visits and 33.9% of sick visits had complete BMI z-score data; incomplete BMI z-score was mainly due to missing height measurements. Only 2.7% of BMI z-score data were excluded due to implausible values.ConclusionsData completeness at well-child visits and overall data accuracy were greater than 90%. EMRs may be a valid source of data to provide estimates of obesity in children who attend primary care.

scholarly journals Body mass index and risk of obesity‐related conditions in a cohort of 2.9 million people: Evidence from a UK primary care database

2020 ◽  
Author(s):  
Christiane L. Haase ◽  
Kirsten T. Eriksen ◽  
Sandra Lopes ◽  
Altynai Satylganova ◽  
Volker Schnecke ◽  
...  
Keyword(s):  
Primary Care ◽  
Body Mass Index ◽  
Body Mass ◽  
Primary Care Database ◽  
Care Database

The relationship of body mass index and blood pressure in primary care pediatric patients

2006 ◽  
Vol 148 (2) ◽  
pp. 195-200 ◽  
Author(s):  
Bonita Falkner ◽  
Samuel S. Gidding ◽  
Gabriela Ramirez-Garnica ◽  
Stacey Armatti Wiltrout ◽  
David West ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Primary Care ◽  
Body Mass Index ◽  
Body Mass ◽  
Pediatric Patients ◽  
Relationship Of ◽  
The Relationship

scholarly journals Body mass index and use and costs of primary care services among women aged 55–79 years in England: a cohort and linked data study

2018 ◽  
Vol 43 (9) ◽  
pp. 1839-1848 ◽  
Author(s):  
Seamus Kent ◽  
◽  
Susan A Jebb ◽  
Alastair Gray ◽  
Jane Green ◽  
...  
Keyword(s):  
Primary Care ◽  
Body Mass Index ◽  
Body Mass ◽  
Linked Data ◽  
Care Services ◽  
Primary Care Services

scholarly journals Impact of body mass index on prevalence of multimorbidity in primary care: cohort study

2013 ◽  
Vol 31 (1) ◽  
pp. 38-43 ◽  
Author(s):  
H. P. Booth ◽  
A. T. Prevost ◽  
M. C. Gulliford
Keyword(s):  
Primary Care ◽  
Body Mass Index ◽  
Cohort Study ◽  
Body Mass
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