scispace - formally typeset
Search or ask a question
Author

Ronald J. Iannotti

Bio: Ronald J. Iannotti is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Overweight & Poison control. The author has an hindex of 44, co-authored 89 publications receiving 9111 citations.


Papers
More filters
Journal ArticleDOI
TL;DR: Parental support may protect adolescents from all four forms of bullying, and results indicate that cyber bullying is a distinct nature from that of traditional bullying.

1,758 citations

Journal ArticleDOI
TL;DR: The structure of the HBSC network and its long-term experience in working through such challenges renders it likely that HBSS can provide a model of other similar studies facing these tensions, and four tensions likely to be present in upcoming survey cycles are identified.
Abstract: Objectives: To describe the methodological development of the HBSC survey since its inception and explore methodological tensions that need to be addressed in the ongoing work on this and other large-scale cross-national surveys

593 citations

Journal ArticleDOI
TL;DR: Negative associations between family communication and bullying behaviors for white, black, and Hispanic adolescents suggest the importance of addressing family interactions in future bullying prevention efforts.

494 citations

Journal ArticleDOI
TL;DR: Results indicated the importance of further study of cyber bullying because its association with depression was distinct from traditional forms of bullying.

371 citations


Cited by
More filters
Journal ArticleDOI
26 Feb 2014-JAMA
TL;DR: Overall, there was no significant change from 2003-2004 through 2011-2012 in high weight for recumbent length among infants and toddlers, obesity in 2- to 19-year-olds, or obesity in adults.
Abstract: Importance More than one-third of adults and 17% of youth in the United States are obese, although the prevalence remained stable between 2003-2004 and 2009-2010. Objective To provide the most recent national estimates of childhood obesity, analyze trends in childhood obesity between 2003 and 2012, and provide detailed obesity trend analyses among adults. Design, Setting, and Participants Weight and height or recumbent length were measured in 9120 participants in the 2011-2012 nationally representative National Health and Nutrition Examination Survey. Main Outcomes and Measures In infants and toddlers from birth to 2 years, high weight for recumbent length was defined as weight for length at or above the 95th percentile of the sex-specific Centers for Disease Control and Prevention (CDC) growth charts. In children and adolescents aged 2 to 19 years, obesity was defined as a body mass index (BMI) at or above the 95th percentile of the sex-specific CDC BMI-for-age growth charts. In adults, obesity was defined as a BMI greater than or equal to 30. Analyses of trends in high weight for recumbent length or obesity prevalence were conducted overall and separately by age across 5 periods (2003-2004, 2005-2006, 2007-2008, 2009-2010, and 2011-2012). Results In 2011-2012, 8.1% (95% CI, 5.8%-11.1%) of infants and toddlers had high weight for recumbent length, and 16.9% (95% CI, 14.9%-19.2%) of 2- to 19-year-olds and 34.9% (95% CI, 32.0%-37.9%) of adults (age-adjusted) aged 20 years or older were obese. Overall, there was no significant change from 2003-2004 through 2011-2012 in high weight for recumbent length among infants and toddlers, obesity in 2- to 19-year-olds, or obesity in adults. Tests for an interaction between survey period and age found an interaction in children ( P = .03) and women ( P = .02). There was a significant decrease in obesity among 2- to 5-year-old children (from 13.9% to 8.4%; P = .03) and a significant increase in obesity among women aged 60 years and older (from 31.5% to 38.1%; P = .006). Conclusions and Relevance Overall, there have been no significant changes in obesity prevalence in youth or adults between 2003-2004 and 2011-2012. Obesity prevalence remains high and thus it is important to continue surveillance.

7,532 citations

Journal ArticleDOI
TL;DR: Variables that were consistently associated with children's physical activity were sex (male), parental overweight status, physical activity preferences, intention to be active, perceived barriers, previous physical activity, healthy diet, program/facility access, and time spent outdoors.
Abstract: SALLIS, J. F., J. J. PROCHASKA, and W. C. TAYLOR. A review of correlates of physical activity of children and adolescents. Med. Sci. Sports Exerc., Vol. 32, No. 5, pp. 963‐975, 2000. Background: Understanding the factors that influence physical activity can aid the design of more effective interventions. Previous reviews of correlates of youth physical activity have produced conflicting results. Methods: A comprehensive review of correlates of physical activity was conducted, and semiquantitative results were summarized separately for children (ages 3‐12) and adolescents (ages 13‐18). The 108 studies evaluated 40 variables for children and 48 variables for adolescents. Results: About 60% of all reported associations with physical activity were statistically significant. Variables that were consistently associated with children’s physical activity were sex (male), parental overweight status, physical activity preferences, intention to be active, perceived barriers (inverse), previous physical activity, healthy diet, program/facility access, and time spent outdoors. Variables that were consistently associated with adolescents’ physical activity were sex (male), ethnicity (white), age (inverse), perceived activity competence, intentions, depression (inverse), previous physical activity, community sports, sensation seeking, sedentary after school and on weekends (inverse), parent support, support from others, sibling physical activity, direct help from parents, and opportunities to exercise. Conclusion: These consistently related variables should be confirmed in prospective

4,382 citations

Journal ArticleDOI
TL;DR: In this paper, the authors describe physical activity levels worldwide with data for adults (15 years or older) from 122 countries and for adolescents (13-15-years-old) from 105 countries.

4,373 citations

Journal ArticleDOI
TL;DR: The Perception-Action Model (PAM), together with an understanding of how representations change with experience, can explain the major empirical effects in the literature and can also predict a variety of empathy disorders.
Abstract: There is disagreement in the literature about the exact nature of the phenomenon of empathy. There are emotional, cogni- tive, and conditioning views, applying in varying degrees across species. An adequate description of the ultimate and proximate mecha- nism can integrate these views. Proximately, the perception of an object's state activates the subject's corresponding representations, which in turn activate somatic and autonomic responses. This mechanism supports basic behaviors (e.g., alarm, social facilitation, vicar- iousness of emotions, mother-infant responsiveness, and the modeling of competitors and predators) that are crucial for the reproduc- tive success of animals living in groups. The Perception-Action Model (PAM), together with an understanding of how representations change with experience, can explain the major empirical effects in the literature (similarity, familiarity, past experience, explicit teach- ing, and salience). It can also predict a variety of empathy disorders. The interaction between the PAM and prefrontal functioning can also explain different levels of empathy across species and age groups. This view can advance our evolutionary understanding of empa- thy beyond inclusive fitness and reciprocal altruism and can explain different levels of empathy across individuals, species, stages of de- velopment, and situations.

3,350 citations