460 resultados para Pediatric Obesity


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Objective: To determine whether differences existed in lower-extremity joint biomechanics during self-selected walking cadence (SW) and fast walking cadence (FW) in overweight- and normal-weight children.---------- Design: Survey.---------- Setting: Institutional gait study center.---------- Participants: Participants (N=20; mean age ± SD, 10.4±1.6y) from referred and volunteer samples were classified based on body mass index percentiles and stratified by age and sex. Exclusion criteria were a history of diabetes, neuromuscular disorder, or recent lower-extremity injury.---------- Main Outcome Measures: Sagittal, frontal, and transverse plane angular displacements (degrees) and peak moments (newton meters) at the hip, knee, and ankle joints.---------- Results: The level of significance was set at P less than .008. Compared with normal-weight children, overweight children had greater absolute peak joint moments at the hip (flexor, extensor, abductor, external rotator), the knee (flexor, extensor, abductor, adductor, internal rotator), and the ankle (plantarflexor, inverter, external/internal rotators). After including body weight as a covariate, overweight children had greater peak ankle dorsiflexor moments than normal-weight children. No kinematic differences existed between groups. Greater peak hip extensor moments and less peak ankle inverter moments occurred during FW than SW. There was greater angular displacement during hip flexion as well as less angular displacement at the hip (extension, abduction), knee (flexion, extension), and ankle (plantarflexion, inversion) during FW than SW.---------- Conclusions: Overweight children experienced increased joint moments, which can have long-term orthopedic implications and suggest a need for more nonweight-bearing activities within exercise prescription. The percent of increase in joint moments from SW to FW was not different for overweight and normal-weight children. These findings can be used in developing an exercise prescription that must involve weight-bearing activity.

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Child overweight and obesity reaches across ethnic, cultural, socioeconomic and regional barriers. It must be assessed, diagnosed and treated to help families make sustainable behavior changes. Treatment recommendations have been made to address pediatric overweight and obesity. They include screening for risk factors, monitoring BMI trends and educating patients and families to make small sustainable changes. Health insurance companies can play a meaningful role in supporting and facilitating provider education and behavior change to diagnose, treat and prevent pediatric overweight and obesity.^ The aims of this thesis were: (1) Describe a disease management program that uses evidence-based practices to create provider behavior change related to pediatric obesity screening, diagnosis and treatment. (2) Identify ways to improve the implementation of the program based on the perceptions of participating clinicians.^ A literature review was completed to evaluate current recommendations for screening and treating pediatric obesity using the Ovid data base. The evidenced-based recommendations were compared against the practices of the Healthy Lifestyles Program (HeLP). The literature confirmed that HeLP is following evidence-based recommendations for assessment, diagnosis and treatment of pediatric obesity.^ A Children’s Mercy Family Health Partners focus group was convened to create a provider survey. The goals of the survey were to assess providers’ perception of the Healthy Lifestyles Program (HeLP). The survey was sent out through email using Survey Monkey. All survey responses were anonymous. The survey was sent to a total of 80 providers who had completed HeLP. Twenty-five percent responded. The survey results were evaluated to make recommendations for HeLP.^ Results of the survey included motivating factors for participation in HeLP. Concern about the increasing prevalence of pediatric obesity was a frequent motivator for participation. Provider barriers to obesity diagnosis were evaluated. Lack of time during clinic visits a frequent barrier to obesity diagnosis. ^ In conclusion several recommendations for the HeLP were made based on survey results. It is recommended that the program evaluate methods and tools for facilitating effective weight management follow up visits. Promotional materials should highlight the increasing prevalence of pediatric obesity when advertising HeLP. These recommendations will be used to refine the current Healthy Lifestyles Program.^

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The Food and Nutrition stream of Australasian Child and Adolescent Obesity Research Network (ACAORN) aims to improve the quality of dietary methodologies and the reporting of dietary intake within Australasian child obesity research (http://www.acaorn.org.au/streams/nutrition/). With 2012 marking ACAORN’s 10th anniversary, this commentary profiles a selection of child obesity nutrition research published over the last decade by Food and Nutrition Stream members. In addition, stream activities have included the development of an online selection guide to assist researchers in their selection of appropriate dietary intake methodologies (http://www.acaorn.org.au/streams/nutrition/dietary-intake/index.php). The quantity and quality of research to guide effective child obesity prevention and treatment has increased substantially over the last decade. ACAORN provides a successful case study of how research networks can provide a collegial atmosphere to foster and co-ordinate research efforts in an otherwise competitive environment.

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BACKGROUND: Many families rely on child care outside the home, making these settings important influences on child development. Nearly 1.5 million children in the U.S. spend time in family child care homes (FCCHs), where providers care for children in their own residences. There is some evidence that children in FCCHs are heavier than those cared for in centers. However, few interventions have targeted FCCHs for obesity prevention. This paper will describe the application of the Intervention Mapping (IM) framework to the development of a childhood obesity prevention intervention for FCCHs METHODS: Following the IM protocol, six steps were completed in the planning and development of an intervention targeting FCCHs: needs assessment, formulation of change objectives matrices, selection of theory-based methods and strategies, creation of intervention components and materials, adoption and implementation planning, and evaluation planning RESULTS: Application of the IM process resulted in the creation of the Keys to Healthy Family Child Care Homes program (Keys), which includes three modules: Healthy You, Healthy Home, and Healthy Business. Delivery of each module includes a workshop, educational binder and tool-kit resources, and four coaching contacts. Social Cognitive Theory and Self-Determination Theory helped guide development of change objective matrices, selection of behavior change strategies, and identification of outcome measures. The Keys program is currently being evaluated through a cluster-randomized controlled trial CONCLUSIONS: The IM process, while time-consuming, enabled rigorous and systematic development of intervention components that are directly tied to behavior change theory and may increase the potential for behavior change within the FCCHs.

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Background: Diet and physical activity (PA) are recognized as important factors to prevent abdominal obesity (AO), which is strongly associated with chronic diseases. Some studies have reported an inverse association between milk consumption and AO. Objective: This study examined the association between milk intake, PA and AO in adolescents. Methods: A cross-sectional study was conducted with 1209 adolescents, aged 15–18 from the Azorean Archipelago, Portugal in 2008. AO was defined by a waist circumference at or above the 90th percentile. Adolescent food intake was measured using a semi-quantitative food frequency questionnaire, and milk intake was categorized as ‘low milk intake’ (<2 servings per day) or ‘high milk intake’ ( 2 servings per day). PA was assessed via a self-report questionnaire, and participants were divided into active (>10 points) and low-active groups ( 10 points) on the basis of their reported PA. They were then divided into four smaller groups, according to milk intake and PA: (i) low milk intake/low active; (ii) low milk intake/active; (iii) high milk intake/low active and (iv) high milk intake/active. The association between milk intake, PA and AO was evaluated using logistic regression analysis, and the results were adjusted for demographic, body mass index, pubertal stage and dietary confounders. Results: In this study, the majority of adolescents consumed semi-skimmed or skimmed milk (92.3%). The group of adolescents with high level of milk intake and active had a lower proportion of AO than did other groups (low milk intake/low active: 34.2%; low milk intake/active: 26.9%; high milk intake/low active: 25.7%; high milk intake/active: 21.9%, P = 0.008). After adjusting for confounders, low-active and active adolescents with high levels of milk intake were less likely to have AO, compared with low-active adolescents with low milk intake (high milk intake/low active, odds ratio [OR] = 0.412, 95% confidence intervals [CI]: 0.201– 0.845; high milk intake/active adolescents, OR = 0.445, 95% CI: 0.235–0.845).Conclusion: High milk intake seems to have a protective effect on AO, regardless of PA level

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There has been a great deal of media attention given to the rising levels of obesity and overweight in children and adolescents, but what is the real cost of pediatric obesity? This article reviews information about the recent rise in pediatric obesity and discusses the cost of this condition from medical, financial and psychological perspectives.

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Introduction and Research Objectives: Pediatric obesity has reached epidemic proportions in the United States. In the critical care setting, obesity has yet to be fully studied. We sought to evaluate the effects of obesity in children who are admitted to a hospital from trauma centers using Kid's Inpatient Database (KID) during 2009. Methods: The study examined inpatient admissions from pediatric trauma patients in 2009 using the Kids´ Inpatient Database (KID). Patients (n=27599) were selected from the KID based on Age (AGE>1) and Admission Type (ATYPE=5) and assessed on Race, Sex, Length of Stay (LOS), Number of Diagnoses and Procedures, Severity of Illness (SOI), Risk of Mortality (ROM), Co-morbidities, and Intubation by comparing obese and non-obese cohorts. Chi-square test and student t-test were used to analyze the data. All variables were weighted to get national estimates. Results: The overall prevalence of obesity (those coded as having obesity as co-morbidity) was 1.6% with significantly higher prevalence among Blacks (1.8%), Hispanics (2.3%), and Native Americans (4.1%; p<0.001). Obesity was more prevalent among females (2.4% vs 1.2%; p<.001). Overall mortality in the cohort was 4.8%. Obesity was significantly lower among children who died during hospitalization (0.5% vs 1.6%; p<0.002). However, obese children had significantly longer LOS, greater number of diagnoses, more procedures and greater than expected loss of function due to SOI when compared with nonobese cohort (p<.001). Deficiency anemia, diabetes, hypertension, liver disease, and fluid and electrolyte disorders are all strongly associated with the presence of obesity (p<.005). The rate of intubation is similar between obese and non-obese cohorts. Conclusion: Our study using KID national database found that obese children who are admitted from trauma centers have a higher morbidity and LOS but lower mortality. Racial and gender inequalities of obesity prevalence is consistent with previous reports.

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Introduction and Research Objectives: Pediatric obesity has reached epidemic proportions in the United States. In the critical care setting, obesity has yet to be fully studied. We sought to evaluate the effects of obesity in children who are admitted to a hospital from trauma centers using Kid's Inpatient Database (KID) during 2009. Methods: The study examined inpatient admissions from pediatric trauma patients in 2009 using the Kids´ Inpatient Database (KID). Patients (n=27599) were selected from the KID based on Age (AGE>1) and Admission Type (ATYPE=5) and assessed on Race, Sex, Length of Stay (LOS), Number of Diagnoses and Procedures, Severity of Illness (SOI), Risk of Mortality (ROM), Co-morbidities, and Intubation by comparing obese and non-obese cohorts. Chi-square test and student t-test were used to analyze the data. All variables were weighted to get national estimates. Results:The overall prevalence of obesity (those coded as having obesity as co-morbidity) was 1.6% with significantly higher prevalence among Blacks (1.8%), Hispanics (2.3%), and Native Americans (4.1%; p Conclusion: Our study using KID national database found that obese children who are admitted from trauma centers have a higher morbidity and LOS but lower mortality. Racial and gender inequalities of obesity prevalence is consistent with previous reports.

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Objective: The purpose of this study was to evaluate the oral hygiene status in pediatric obese patients. Methods: A cross-sectional study was conducted from 2011 to 2012, which evaluated 180 Brazilian pediatric patients, 6-14 years old, girls and boys, recruited according to two Body Mass Index (BMI) categories: obese and non-obese (healthy weight). For the evaluation the oral hygiene status, the study used Oral Hygiene Index (OHI) and Gingival Bleeding Index (GBI). Results: According to the total sample, 5/60 obese (8.3%) and 57/120 non-obese (47.5%) had good OHI, while 23/60 obese (38.4%) and 3/120 non-obese (2.5%) were classified in a low level of OHI, with a significance between the groups (p < 0.001), even after sorting by age. According to the classification of GBI, 60/60 obese (100.0%) and 89/120 non-obese (74.2%) had GBI 1 (bleeding gingiva), and 0/60 obese and 31/120 non-obese (25.8%) were classified as GBI 0 (healthy gingiva), with a significance between the groups (p < 0.001), even after sorting by age. Conclusions: This study indicated that OHI and GBI were significantly higher in the obese children group.

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Objetivo: Verificar a prevalência e os fatores associados ao sobrepeso e à obesidade entre adolescentes de uma escola pública em Campinas, São Paulo. Métodos: Estudo observacional, transversal, realizado entre julho e setembro de 2013, com 107 jovens entre 15 e 19 anos que cursavam o ensino médio em uma escola pública do município de Campinas, São Paulo. Utilizou-se um questionário para investigar dados sociodemográficos e fatores de risco para sobrepeso e obesidade. Além disso, verificaram-se dados clínicos (peso, altura, pressão arterial). Resultados: A amostra se caracterizou com predomínio de mulheres (n=65, 60,7%) com 16,5 anos em média e renda familiar entre 2 e 4 salários mínimos (n=53, 49,5%). A prevalência de sobrepeso e obesidade foi de 18 (16,8%) e 9 (8,4%), respectivamente. Destaca-se que 62 (58%) sempre omitiam uma refeição, 54 (50,5%) sempre se alimentavam vendo televisão e 56 (52,3%) não praticavam atividade física fora da escola. Tentar e não conseguir fazer dieta foi associado ao sobrepeso e à obesidade, e autoimagem curvilínea foi associada à obesidade. Conclusão: O estudo revelou que parte significativa da amostra estava com sobrepeso ou obesidade. A falha em manter uma dieta e a autoimagem curvilínea associadas às alterações nutricionais sugerem que os adolescentes tinham consciência dessas alterações e se preocupavam com o próprio peso, a ponto de buscarem a dieta para tentar emagrecer.

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Background: Pediatric obesity is one of the predisposing risk factors for many non-communicable diseases. Objectives: The purpose of this study was to estimate the national prevalence of general and abdominal obesity among Iranian children and adolescents. Patients and Methods: This cross-sectional nation-wide study was performed in 30 provinces in Iran among 14880 school students aged 6 – 18 years, selected by multistage random cluster sampling. The World Health Organization growth curve was used to categorize Body Mass Index (BMI). Obesity was defined as BMI equal to or higher than the age- and gender-specific 95th percentile; abdominal obesity was considered as waist-to-height ratio of more than 0.5. Results: Data of 13486 out of 14880 invited students were complete (response rate of 90.6%). They consisted of 6543 girls and 75.6% urban residents, and had a mean age of 12.45 (95% CI: 12.40 - 12.51) years. The prevalence rate of general and abdominal obesity was 11.89% (13.58% of boys vs. 10.15% of girls) and 19.12% (20.41% of boys vs. 17.79% of girls), respectively. The highest frequency of obesity was found in the middle school students (13.87% general and 20.84% abdominal obesity). The highest prevalence of general obesity was found in Boushehr (19%) followed by Guilan and Mazandaran (18.3%, 18.3%), while the lowest prevalence was observed in Hormozgan (2.6%). The highest frequency of abdominal obesity was found in Mazandaran (30.2%), Ardabil (29.2%) and Tehran (27.9%). Provinces such as Sistan-Baloochestan (8.4%), Hormozagan (7.4%), and Kerman (11.4%) had the lowest prevalence of abdominal obesity. The Southern and South Eastern provinces had the lowest prevalence of general obesity (2.6% and 5.6%) and abdominal obesity (7.4% and 8.8%). Moreover, the highest prevalence of obesity was found in North and North West Iran by maximum frequency of 18.3% general obesity and 30.2% of abdominal obesity. Conclusions: The results showed a high prevalence of general and abdominal obesity among boys living in the Northern provinces of Iran. The present study provides insights that policy makers should consider action-oriented interventions for prevention and control of childhood obesity at national and sub-national level.

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Objective To describe the impact of a parent-led, family focused child weight management program on the food intake and activity patterns of pre-pubertal children. Methods n assessor-blinded, randomized controlled trial involving 111 (64% female) overweight, pre-pubertal children 6 to 9 years of age randomly assigned to parenting-skills training plus intensive lifestyle education, parenting-skills training alone, or a 12-month wait-listed control. Study outcomes were assessed at baseline, 6 months, and 12 months. This paper presents data on food intake assessed via a validated 54-item parent completed dietary questionnaire and activity behaviours assessed via a parent-report 20-item activity questionnaire. Results Intake of energy-dense nutrient poor foods was lower in both intervention groups at 6 months (mean difference, P+DA -1.5 serves [CI -2.0;-1.0]; P -1.0 serves [-2.0;-0.5]) and 12 months (mean difference P+DA -1.0 serves [CI -2.0;-0.5]; P -1.0 serves [-1.5; 0.0]) compared to baseline. Intake of vegetables, fruit, breads and cereals, meat and alternatives and dairy foods remained unchanged. Regardless of study group there were significant reductions over time in the reported time spent engaged in small screen activities and an increase in the time reported spent in active play. Conclusion Child weight management intervention that promotes food intake in line with national dietary guidelines achieves a reduction in children’s intake of energy dense, nutrient poor foods. This was achieved without compromising intake of nutrient-rich food and changes in were maintained even once the intervention ceased.

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Objective The present study aimed to develop accelerometer cut points to classify physical activities (PA) by intensity in preschoolers and to investigate discrepancies in PA levels when applying various accelerometer cut points. Methods To calibrate the accelerometer, 18 preschoolers (5.8 +/- 0.4 years) performed eleven structured activities and one free play session while wearing a GT1M ActiGraph accelerometer using 15 s epochs. The structured activities were chosen based on the direct observation system Children's Activity Rating Scale (CARS) while the criterion measure of PA intensity during free play was provided using a second-by-second observation protocol (modified CARS). Receiver Operating Characteristic (ROC) curve analyses were used to determine the accelerometer cut points. To examine the classification differences, accelerometer data of four consecutive days from 114 preschoolers (5.5 +/- 0.3 years) were classified by intensity according to previously published and the newly developed accelerometer cut points. Differences in predicted PA levels were evaluated using repeated measures ANOVA and Chi Square test. Results Cut points were identified at 373 counts/15 s for light (sensitivity: 86%; specificity: 91%; Area under ROC curve: 0.95), 585 counts/15 s for moderate (87%; 82%; 0.91) and 881 counts/15 s for vigorous PA (88%; 91%; 0.94). Further, applying various accelerometer cut points to the same data resulted in statistically and biologically significant differences in PA. Conclusions Accelerometer cut points were developed with good discriminatory power for differentiating between PA levels in preschoolers and the choice of accelerometer cut points can result in large discrepancies.

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PURPOSE: It is unclear whether sociocultural and socioeconomic factors are directly linked to type 2 diabetes risk in overweight/obese ethnic minority children and adolescents. This study examines the relationships between sociocultural orientation, household social position, and type 2 diabetes risk in overweight/obese African-American (n = 43) and Latino-American (n = 113) children and adolescents. METHODS: Sociocultural orientation was assessed using the Acculturation, Habits, and Interests Multicultural Scale for Adolescents (AHIMSA) questionnaire. Household social position was calculated using the Hollingshead Two-Factor Index of Social Position. Insulin sensitivity (SI), acute insulin response (AIRG) and disposition index (DI) were derived from a frequently sampled intravenous glucose tolerance test (FSIGT). The relationships between AHIMSA subscales (i.e., integration, assimilation, separation, and marginalization), household social position and FSIGT parameters were assessed using multiple linear regression. RESULTS: For African-Americans, integration (integrating their family's culture with those of mainstream white-American culture) was positively associated with AIRG (β = 0.27 ± 0.09, r = 0.48, P < 0.01) and DI (β = 0.28 ± 0.09, r = 0.55, P < 0.01). For Latino-Americans, household social position was inversely associated with AIRG (β = -0.010 ± 0.004, r = -0.19, P = 0.02) and DI (β = -20.44 ± 7.50, r = -0.27, P < 0.01). CONCLUSIONS: Sociocultural orientation and household social position play distinct and opposing roles in shaping type 2 diabetes risk in African-American and Latino-American children and adolescents.