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Pediatrics | 2006

Beverage Intake Among Preschool Children and Its Effect on Weight Status

Teresia M. O'Connor; Su-Jau Yang; Theresa A. Nicklas

OBJECTIVE. The obesity epidemic in the United States continues to increase. Because obesity tends to track over time, the increase in overweight among young children is of significant concern. A number of eating patterns have been associated with overweight among preschool-aged children. Recently, 100% fruit juice and sweetened fruit drinks have received considerable attention as potential sources of high-energy beverages that could be related to the prevalence of obesity among young children. Our aim was to evaluate the beverage intake among preschool children who participated in the National Health and Nutrition Examination Survey 1999–2002 and investigate associations between types and amounts of beverages consumed and weight status in preschool-aged children. METHODS. We performed a secondary analysis of the data from the National Health and Nutrition Examination Survey 1999–2002, which is a continuous, cross-sectional survey of a nationally representative sample of the noninstitutionalized population of the United State. It included the collection of parent reported demographic descriptors, a 24-hour dietary recall, a measure of physical activity, and a standardized physical examination. The 24-hour dietary recall was obtained in person by a trained interviewer and reflected the foods and beverages that were consumed by the participant the previous day. The National Health and Nutrition Examination Survey food groups were classified on the basis of the US Department of Agricultures Food and Nutrient Database for Dietary Studies. We reviewed the main food descriptors used and classified all beverages listed. One hundred percent fruit juice was classified as only beverages that contained 100% fruit juice, without sweetener. Fruit drinks included any sweetened fruit juice, fruit-flavored drink (natural or artificial), or drink that contained fruit juice in part. Milk included any type of cow milk and then was subcategorized by percentage of milk fat. Any sweetened soft drink, caffeinated or uncaffeinated, was categorized as soda. Diet drinks included any fruit drink, tea, or soda that was sweetened by low-calorie sweetener. Several beverages were removed from the analysis because of low frequency of consumption among the sample. Water was not included in the analysis because it is not part of the US Department of Agricultures Food and Nutrient Database categories. For the purposes of this analysis, the beverages were converted and reported as ounces, rather than grams, as reported by the National Health and Nutrition Examination Survey, to make it more clinically relevant. The childs BMI percentile for age and gender were calculated on the basis of Centers for Disease Control and Prevention criteria and used to identify childrens weight status as underweight (<5%), normal weight (5% to <85%), at risk for overweight (85% to <95%), or overweight (≥95%). Because of the small number of children in the underweight category, they were included in the normal-weight category for this analysis. Data were analyzed using SUDAAN 9.0.1 statistical software programs. SUDAAN allows for improved accuracy and validity of results by calculating test statistics for the stratified, multistage probability design of the National Health and Nutrition Examination Survey. Sample weights were applied to all analyses to account for unequal probability of selection from oversampling low-income children and black and Mexican American children. Descriptive and χ2 analyses and analysis of covariance, adjusting for age, gender, ethnicity, household income, energy intake, and physical activity, were conducted. RESULTS. All children who were aged 2 to 5 years were identified (N = 1572). Those with missing data were removed from additional analysis, resulting in a final sample of 1160 preschool children. Of the 1160 children analyzed, 579 (49.9%) were male. White children represented 35%, black children represented 28.3%, and Hispanic children represented 36.7% of the sample. Twenty-four percent of the children were overweight or at risk for overweight (BMI ≥85%), and 10.7% were overweight (BMI ≥95%). There were no statistically significant differences in BMI between boys and girls or among the ethnicities. Overweight children tended to be older (mean age: 3.83 years) compared with the normal-weight children (mean age: 3.48 years). Eighty-three percent of children drank milk, 48% drank 100% fruit juice, 44% drank fruit drink, and 39% drank soda. Whole milk was consumed by 46.5% of the children, and 3.1% and 5.5% of the children consumed skim milk and 1% milk, respectively. Preschool children consumed a mean total beverage volume of 26.93 oz/day, which included 12.32 oz of milk, 4.70 oz of 100% fruit juice, 4.98 oz of fruit drinks, and 3.25 oz of soda. Weight status of the child had no association with the amount of total beverages, milk, 100% fruit juice, fruit drink, or soda consumed. There was no clinically significant association between the types of milk (percentage of fat) consumed and weight status. In analysis of covariance, daily total energy intake increased with increased consumption of milk, 100% fruit juice, fruit drinks, and soda. However, there was not a statistically significant increase in BMI on the basis of quantity of milk, 100% fruit juice, fruit drink, or soda consumed. CONCLUSIONS. On average, preschool children drank less milk than the 2005 Dietary Guidelines for Americans recommendation of 16 oz/day. Only 8.6% drank low-fat or skim milk, as recommended for children who are older than 2 years. On average, preschool children drank <6 oz/day 100% fruit juice. Increased beverage consumption was associated with an increase in the total energy intake of the children but not with their BMI. Prospectively studying preschool children beyond 2 to 5 years of age, through their adiposity rebound (∼5.5–6 years) to determine whether there is a trajectory increase in their BMI, may help to clarify the role of beverage consumption in total energy intake and weight status.


American Journal of Preventive Medicine | 2009

Engaging Parents to Increase Youth Physical Activity A Systematic Review

Teresia M. O'Connor; Russell Jago; Tom Baranowski

BACKGROUND Parents are often involved in interventions to engage youth in physical activity, but it is not clear which methods for involving parents are effective. PURPOSE A systematic review was conducted of interventions with physical activity and parental components among healthy youth to identify how best to involve parents in physical activity interventions for children. EVIDENCE ACQUISITION Identified intervention studies were reviewed in 2008 for study design, description of family components, and physical activity outcomes. The quality of reporting was assessed using the CONSORT checklist for reporting on trials of nonpharmacologic treatments. EVIDENCE SYNTHESIS The literature search identified 1227 articles, 35 of which met review criteria. Five of the 14 RCTs met > or =70% of CONSORT checklist items. Five general procedures for involving parents were identified: (1) face-to-face educational programs or parent training, (2) family participatory exercise programs, (3) telephone communication, (4) organized activities, and (5) educational materials sent home. Lack of uniformity in reporting trials, multiple pilot studies, and varied measurements of physical activity outcomes prohibited systematic conclusions. Interventions with educational or training programs during family visits or via telephone communication with parents appear to offer some promise. CONCLUSIONS There is little evidence for effectiveness of family involvement methods in programs for promoting physical activity in children, because of the heterogeneity of study design, study quality, and outcome measures used. There is a need to build an evidence base of more-predictive models of child physical activity that include parent and child mediating variables and procedures that can effect changes in these variables for future family-based physical activity interventions.


Preventive Medicine | 2010

Parental involvement in interventions to improve child dietary intake: A systematic review

Melanie Hingle; Teresia M. O'Connor; Jayna M. Dave; Tom Baranowski

OBJECTIVE Interventions that aim to improve child dietary quality and reduce disease risk often involve parents. The most effective methods to engage parents remain unclear. A systematic review of interventions designed to change child and adolescent dietary behavior was conducted to answer whether parent involvement enhanced intervention effectiveness, and what type of involvement was most effective in achieving desired outcomes. METHOD In 2008, Pub Med, Medline, Psych Info, and Cochrane Library databases were searched to identify programs designed to change child and adolescent dietary intake that also involved parents. Methods of parental involvement were categorized based on the type and intensity of parental involvement. These methods were compared against intervention design, dietary outcomes, and quality of reporting (evaluated using CONSORT checklist) for each study. RESULTS The literature search identified 1774 articles and 24 met review criteria. Four studies systematically evaluated parent involvement with inconsistent results. Indirect methods to engage parents were most commonly used, although direct approaches were more likely to result in positive outcomes. Four studies met >70% of CONSORT items. CONCLUSION Limited conclusions may be drawn regarding the best method to involve parents in changing child diet to promote health. However, direct methods show promise and warrant further research.


Pediatrics | 2012

Impact of an Active Video Game on Healthy Children’s Physical Activity

Tom Baranowski; Dina Abdelsamad; Janice Baranowski; Teresia M. O'Connor; Debbe Thompson; Anthony Barnett; Ester Cerin; Tzu-An Chen

OBJECTIVE: This naturalistic study tests whether children receiving a new (to them) active video game spontaneously engage in more physical activity than those receiving an inactive video game, and whether the effect would be greater among children in unsafe neighborhoods, who might not be allowed to play outside. METHODS: Participants were children 9 to 12 years of age, with a BMI >50th percentile, but <99th percentile; none of these children a medical condition that would preclude physical activity or playing video games. A randomized clinical trial assigned children to receiving 2 active or 2 inactive video games, the peripherals necessary to run the games, and a Wii console. Physical activity was monitored by using accelerometers for 5 weeks over the course of a 13-week experiment. Neighborhood safety was assessed with a 12 item validated questionnaire. RESULTS: There was no evidence that children receiving the active video games were more active in general, or at anytime, than children receiving the inactive video games. The outcomes were not moderated by parent perceived neighborhood safety, child BMI z score, or other demographic characteristics. CONCLUSIONS: These results provide no reason to believe that simply acquiring an active video game under naturalistic circumstances provides a public health benefit to children.


Childhood obesity | 2014

School Year Versus Summer Differences in Child Weight Gain: A Narrative Review

Tom Baranowski; Teresia M. O'Connor; Craig A. Johnston; Sheryl O. Hughes; Jennette P. Moreno; Tzu-An Chen; Lisa Meltzer; Janice Baranowski

The causes of the current high prevalence of overweight and obesity among children are not clearly known. Schools have been implicated in the causal chain to high child obesity prevalence. Recent studies have compared school year versus summertime changes (herein called seasonal differences) in child adiposity or related phenomena. The most common seasonal pattern in six longitudinal descriptive studies was that overweight and obese children experienced accelerated gain in weight or some BMI indicator during the summer, whereas healthy weight children gained less or not at all. Four physical activity (PA) intervention studies demonstrated that school year fitness improvements were lost during the summer. One study showed that PA declined across the summer. Another study provided conflicting results of lower total energy expenditure in the summer, but no seasonal difference in total energy expenditure after adjusting for fat-free mass. This pattern of fairly rapid seasonal differences suggests that PA is the primary factor contributing to seasonal differences in weight or BMI, but the documented seasonal pattern in PA (i.e., higher in summer) does not support this relationship. Sleep duration has also been inversely related to child adiposity. Seasonal patterns in adiposity, PA, and sleep need to be clearly established separately for overweight and healthy weight children in further longitudinal research to provide a clear focus for national policy.


Obesity Reviews | 2012

Physical activity parenting: a systematic review of questionnaires and their associations with child activity levels

Ester F.C. Sleddens; S.P.J. Kremers; Sheryl O. Hughes; M. B. Cross; Carel Thijs; N.K. de Vries; Teresia M. O'Connor

Insufficient physical activity (PA) is considered a critical contributor to childhood overweight. Parents are a key in influencing their childs PA through various mechanisms of PA parenting, including support, restriction of PA and facilitation of enrolment in PA classes or activities. However, study findings are difficult to compare because instruments vary in terms of constructs, psychometric assessment and type of PA assessed. The goal of the current review was to identify existing PA parenting questionnaires and report on the validation of these measures through findings of their psychometric performance and correlation to youths PA. The search of eligible studies was restricted to instruments with multiple items. Eleven unique PA parenting questionnaires were identified, and 46 studies that used these instruments were included. Extracted data include sample characteristics, as well as type and assessment methods of parental influence and PA. Findings highlight the tremendous variation in the conceptualization and measurement of PA parenting, common use of non‐validated instruments and lack of comprehensive measures. The development of theory‐based PA parenting measures (preferably multidimensional) should be prioritized to guide the study of the parental role in promoting childs PA as well as the design of family‐based PA interventions.


Journal of The American Dietetic Association | 2010

Health Professionals' and Dietetics Practitioners' Perceived Effectiveness of Fruit and Vegetable Parenting Practices across Six Countries

Teresia M. O'Connor; Kathy Watson; Sheryl O. Hughes; Alicia Beltran; Melanie Hingle; Janice Baranowski; Karen Campbell; Dolors Juvinyà Canal; Ana Bertha Pérez Lizaur; Isabel Zacarías; Daniela González; Theresa A. Nicklas; Tom Baranowski

Fruit and vegetable intake may reduce the risk of some chronic diseases. However, many children consume less-than-recommended amounts of fruit and vegetables. Because health professionals and dietetics practitioners often work with parents to increase childrens fruit and vegetable intake, assessing their opinions about the effectiveness of parenting practices is an important step in understanding how to promote fruit and vegetable intake among preschool-aged children. Using a cross-sectional design, collaborators from six countries distributed an Internet survey to health and nutrition organization members. A self-selected sample reported their perceptions of the effectiveness of 39 parenting practices intended to promote fruit and vegetable consumption in preschool-aged children from May 18, 2008, to September 16, 2008. A total of 889 participants (55% United States, 22.6% Mexico, 10.9% Australia, 4.4% Spain, 3.3% Chile, 2.2% United Kingdom, and 1.6% other countries) completed the survey. The fruit and vegetable intake-related parenting practices items were categorized into three dimensions (structure, responsiveness, and control) based on a parenting theory conceptual framework and dichotomized as effective/ineffective based on professional perceptions. The theoretically derived factor structures for effective and ineffective parenting practices were evaluated using separate confirmatory factor analyses and demonstrated acceptable fit. Fruit and vegetable intake-related parenting practices that provide external control were perceived as ineffective or counterproductive, whereas fruit and vegetable intake-related parenting practices that provided structure, nondirective control, and were responsive were perceived as effective in getting preschool-aged children to consume fruit and vegetables. Future research needs to develop and validate a parent-reported measure of these fruit and vegetable intake-related parenting practices and to empirically evaluate the effect of parental use of the parenting practices on child fruit and vegetable consumption.


Child Care Health and Development | 2013

Feasibility of an obesity intervention for paediatric primary care targeting parenting and children: Helping HAND

Teresia M. O'Connor; A. Hilmers; Kathy Watson; Tom Baranowski; Angelo P. Giardino

BACKGROUND   The primary care setting offers the opportunity to reach children and parents to encourage healthy lifestyle behaviours, and improve weight status among children. OBJECTIVE   Test the feasibility of Helping HAND (Healthy Activity and Nutrition Directions), an obesity intervention for 5- to 8-year-old children in primary care clinics. METHODS   A randomized controlled pilot study of Helping HAND, a 6-month intervention, targeted children with body mass index 85-99%tile and their parents. Intervention group attended monthly sessions and self-selected child behaviours and parenting practices to change. Control group received regular paediatric care and was wait-listed for Helping HAND. Session completion, participant satisfaction, child anthropometrics, dietary intake, physical activity, TV viewing and behaviour-specific parenting practices were measured pre and post intervention. RESULTS   Forty parent-child dyads enrolled: 82.5% were Hispanic, 80% had a girl and 65% reported income ≤


Childhood obesity | 2013

Houston. We Have a Problem! Measurement of Parenting

Tom Baranowski; Teresia M. O'Connor; Sheryl O. Hughes; Ester F.C. Sleddens; Alicia Beltran; Leslie A. Frankel; Jason A. Mendoza; Janice Baranowski

30, 000/year. There was 20% attrition from Helping HAND (attended <4/6 sessions). Families self-selected 4.35 (SD 1.75) behaviours to target during the 6-month programme and each of the seven behaviours was selected by 45-80% of the families. There were no between group differences in the childs body mass index z-score, dietary intake or physical activity post intervention. Intervention group viewed 14.9 (SE 2.3) h/week of TV post intervention versus control group 23.3 (SE 2.4) h/week (P < 0.05). CONCLUSION   Helping HAND is feasible, due to low attrition, good programme attendance, and clinically relevant improvements in some child and parenting behaviours.


BMC Public Health | 2014

Environmental and cultural correlates of physical activity parenting practices among Latino parents with preschool-aged children: Niños Activos.

Teresia M. O'Connor; Ester Cerin; Rebecca E. Lee; Nathan Parker; Tzu An Chen; Sheryl O. Hughes; Jason A. Mendoza; Tom Baranowski

Obesity is a dominant child health problem in the United States1 and virtually worldwide.2 Obesity in childhood is associated with a number of negative health outcomes,3,4 with substantially increased risk of adult obesity.5 The energy balance model indicates obesity is the result of overconsumption of calories, low levels of physical activity, and high levels of sedentary behavior, mostly high screen time (TV, videos, and videogames).6

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Sheryl O. Hughes

Baylor College of Medicine

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Tom Baranowski

Baylor College of Medicine

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Janice Baranowski

Baylor College of Medicine

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Alicia Beltran

Baylor College of Medicine

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Thomas G. Power

Washington State University

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Debbe Thompson

Baylor College of Medicine

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Tzu-An Chen

Baylor College of Medicine

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