Arkansas' Experience: Statewide Surveillance and Parental Information on the Child Obesity Epidemic

Thompson, James M.; Card-Higginson, Paula

doi:10.1542/peds.2008-3586j

Cited by 63 publications

(86 citation statements)

References 9 publications

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“…In the sample we analysed, there were similar prevalences of underweight (32·79 %) and overweight/obese children (34·67 %). The results of studies conducted during the past three decades are indicative of an antagonism between temporal tendencies of underweight and obesity, defining one of the characteristics of the process of nutritional transition that occurs in the country (24,(27)(28)(29)(30) . Table 2 Distribution of severity and prevalence of tooth wear by age and dentition among 7-to 10-year-old schoolchildren (n 396) from Bauru, São Paulo, Brazil Age 7 years (1960 dental surfaces) 8 years (1660 dental surfaces) 9 years (2120 dental surfaces) 10 years (2180 dental surfaces) Underweight 21 101 0·72 0·36, 1·42 0·044 119 3 0·88 0·19, 4·04 0·817 Overweight 12 40 0·50 0·20, 1·12 0·141 51 1 0·69 0·07, 6·32 0·853 Obesity 17 60 0·53 0·25, 1·09 0·125 74 3 1·42 0·31, 6·55 0·953 Ref., reference category.…”

Section: Discussionmentioning

confidence: 99%

Nutritional status, tooth wear and quality of life in Brazilian schoolchildren

Andrade¹,

Moura-Grec²,

Mapengo³

et al. 2015

Public Health Nutr.

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Objective: To evaluate the correlation among nutritional status, tooth wear and quality of life in Brazilian schoolchildren. Design: The study followed a cross-sectional design. Nutritional status was measured via anthropometry using BMI and tooth wear was measured using the Dental Wear Index; both these assessments were carried out by a trained recorder according to standard criteria. A modified version of the Child Oral Impacts on Daily Performances was used to assess quality of life. Setting: City of Bauru, in Brazil. Subjects: A cluster sample of 396 schoolchildren (194 boys and 202 girls) aged 7-10 years. Results: The anthropometric assessment showed similar situations for both sexes regarding underweight (31·40 % in boys and 30·20 % in girls) and overweight/ obesity (33·96 % in boys and 33·17 % in girls). The underweight children showed a greater severity of tooth wear in the primary teeth (OR = 0·72; CI 0·36, 1·42), although in the permanent dentition the obese children had a greater severity of tooth wear (OR = 1·42; 95 % CI 0·31, 6·55). The tooth wear was correlated with age for both dentitions. Conclusions: Tooth wear in the primary and permanent dentition may be related to nutritional status. Tooth wear and obesity did not have a significant impact on the schoolchildren's perception of quality of life.

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Section: Discussionmentioning

confidence: 99%

Nutritional status, tooth wear and quality of life in Brazilian schoolchildren

Andrade¹,

Moura-Grec²,

Mapengo³

et al. 2015

Public Health Nutr.

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“…Some states have implemented mandatory BMI report cards for children in their state (Evans & Sonneville, 2009;Thompson & Card-Higginson, 2009). If parents are provided with BMI report cards for their children, then those report cards should be provided with the caveat that if their child is a strong physical activity performer, then the BMI on their report card may overstate their adiposity status.…”

Section: Discussionmentioning

confidence: 99%

Estimating Fitness Bias in Body Mass Index of Middle School Students

Erfle

2015

JET

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Since muscle is more dense than fat, athletes tend to have greater mass and BMI than similarly sized non-athletes. Comparing direct adiposity measures and BMI confirms that BMI is a biased proxy for adiposity for elite athletes. A similar bias should exist for non-elite athletes as well as fit individuals.This paper provides a methodology for indirectly estimating the size of the fitness bias in BMI using median physical activity performances. Approximately 30% of females and 33% of males are fit using this definition.Using data from 9 062 students, regressions suggest 3.1, 95% CI [0.9, 5.3], of a female's BMI percentile of 85, and 3.6% of her weight, CI [1.6%, 5.6%], is due to being fit, but 5.6, CI [3.3, 7.9], of a male's BMI percentile of 85, and 5.9% of his weight, CI [3.9%, 7.9%], is due to being fit. These increases in weight are smaller than, but consistent with, the bias of more than 20% for elite athletes.Strong performance on individual physical activities decreases BMI percentile and BMI, but doing well on multiple physical activities has the reverse effect. This provides evidence of a fitness bias. BMI report cards should include the caveat that BMI may overstate the adiposity status of fit children.

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“…60 When properly introduced in an objective manner, BMI measurement can provide useful information for parents and primary care physicians or other providers to decide whether diet and other lifestyle intervention is warranted and, if so, what the most effective approach might be. Respecting privacy, applying deidentified data at a state level can be useful in evaluating the success of statewide obesity intervention programs.…”

Section: Bmi (Not Prioritized Although Implied Within Physical Activmentioning

confidence: 99%

Evidence-Based Policy Making: Assessment of the American Heart Association’s Strategic Policy Portfolio

Goldstein¹,

Antman²,

Arnett³

et al. 2016

Circulation

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Background-American Heart Association (AHA) public policy advocacy strategies are based on its Strategic Impact Goals.The writing group appraised the evidence behind AHA's policies to determine how well they address the association's 2020 cardiovascular health (CVH) metrics and cardiovascular disease (CVD) management indicators and identified research needed to fill gaps in policy and support further policy development. Methods and Results-The AHA policy research department first identified current AHA policies specific to each CVH metric and CVD management indicator and the evidence underlying each policy. Writing group members then reviewed each policy and the related metrics and indicators. The results of each review were summarized, and topic-specific priorities and overarching themes for future policy research were proposed. There was generally close alignment between current AHA policies and the 2020 CVH metrics and CVD management indicators; however, certain specific policies still lack a robust evidence base. For CVH metrics, the distinction between policies for adults (age ≥20 years) and children (<20 years) was often not considered, although policy approaches may differ importantly by age. Inclusion of all those <20 years of age as a single group also ignores important differences in policy needs for infants, children, adolescents, and young adults. For CVD management indicators, specific quantitative targets analogous to criteria for ideal, intermediate, and poor CVH are lacking but needed to assess progress toward the 2020 goal to reduce deaths from CVDs and stroke. New research in support of current policies needs to focus on the evaluation of their translation and implementation through expanded application of implementation science. Focused basic, clinical, and population research is required to expand and strengthen the evidence base for the development of new policies. Evaluation of the impact of targeted © 2016 American Heart Association, Inc.Circulation is available at http://circ.ahajournals.org DOI: 10.1161/CIR.0000000000000410The American Heart Association makes every effort to avoid any actual or potential conflicts of interest that may arise as a result of an outside relationship or a personal, professional, or business interest of a member of the writing panel. Specifically, all members of the writing group are required to complete and submit a Disclosure Questionnaire showing all such relationships that might be perceived as real or potential conflicts of interest.This policy statement was approved by the Advocacy Coordinating Committee February 23, 2016, and the American Heart Association Executive Committee on February 23, 2016. A copy of the document is available at http://professional.heart.org/statements by using either "Search for Guidelines & Statements" or the "Browse by Topic" area. To purchase additional reprints, call 843-216-2533 or e-mail kelle.ramsay@wolterskluwer.com.The American Heart Association requests that this document be cited as follows: Labarthe DR, Goldstein LB,...

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Arkansas' Experience: Statewide Surveillance and Parental Information on the Child Obesity Epidemic

Cited by 63 publications

References 9 publications

Nutritional status, tooth wear and quality of life in Brazilian schoolchildren

Nutritional status, tooth wear and quality of life in Brazilian schoolchildren

Estimating Fitness Bias in Body Mass Index of Middle School Students

Evidence-Based Policy Making: Assessment of the American Heart Association’s Strategic Policy Portfolio

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