Search results for "Adolescent Behavior"
showing 10 items of 136 documents
Body image and adolescence: A behavioral impairment model.
2017
Adolescence is a period marked by important physical and social changes that can lead to a negative body image. The purpose of this study was to find a model enabling the appearance of behavioral impairment related to body image (restrictions, avoidance, and checking) to be predicted by body image attitudes (concern or Appearance Orientation, and dissatisfaction or Appearance Evaluation), Gender, emotional symptomatology, self-consciousness, ideas of reference (IR) and age. A total of 661 participants (67.47% girls) with an average age of 17.14 years (SD=2.34) filled in the GHQ-28, SCS on self-consciousness, REF referential thinking scale, MBSRQ (AO and AE), and BIAQ. A partial mediation mo…
Body weight dissatisfaction and communication with parents among adolescents in 24 countries: international cross-sectional survey
2009
Abstract Background Parents have significant influence on behaviors and perceptions surrounding eating, body image and weight in adolescents. The aim of this study was to examine the prevalence of body weight dissatisfaction, difficulty in communication with the parents and the relationship between communication with parents and adolescents' dissatisfaction with their body weight (dieting or perceived need to diet). Methods Survey data were collected from adolescents in 24 countries and regions in Europe, Canada, and the USA who participated in the cross-sectional 2001/2002 Health Behaviour of School-Aged Children (HBSC) study. The association between communication with parents and body wei…
Pressure to drink but not to smoke: Disentangling selection and socialization in adolescent peer networks and peer groups
2010
Contains fulltext : 90699.pdf (Publisher’s version ) (Closed access) This paper examined the relative influence of selection and socialization on alcohol and tobacco use in adolescent peer networks and peer groups. The sample included 1419 Finnish secondary education students (690 males and 729 females, mean age 16 years at the outset) from nine schools. Participants identified three school friends and described their alcohol and tobacco use on two occasions one year apart. Actor-based models simultaneously examined changes in peer network ties and changes in individual behaviors for all participants within each school. Multi-level analyses examined changes in individual behaviors for adole…
Fruit and vegetable consumption trends among adolescents from 2002 to 2010 in 33 countries
2015
BACKGROUND: Fruit and vegetable consumption is linked to many positive health outcomes, nevertheless many adolescents do not consume fruit and vegetables on a daily basis.METHODS: Data of 488,951 adolescents, aged 11-, 13- and 15- years, from 33 mainly European and North American countries/regions participating in the cross-sectional Health Behaviour in School-aged Children surveys in 2002, 2006 and 2010, were used to investigate trends in daily fruit and vegetable consumption between 2002 and 2010.RESULTS: Multilevel logistic regression analyses showed an increase in daily fruit and vegetable consumption between 2002 and 2010 in the majority of countries for both genders and all three age …
Relations among Romantic Myths, Offline Dating Violence Victimization and Cyber Dating Violence Victimization in Adolescents.
2020
Cyber dating violence is an increasing problem with serious negative consequences for adolescents. Further knowledge about related variables is necessary to develop preventive strategies. The aim of this study was to analyze the correlations among cyber dating violence victimization (cyber-control and cyber-aggression), offline dating violence victimization (physical, verbal&ndash
Parenting Style and Reactive and Proactive Adolescent Violence: Evidence from Spain
2018
The aim of the present study was to analyze the relationship between the parenting styles&mdash
Gender differences in motivation and barriers for the practice of physical exercise in adolescence
2019
A total of 852 adolescents between 12 and 17 years of age were evaluated (M = 14.86, SD = 1.67), randomly selected among a population of secondary school and Baccalaureate students. We applied an &ldquo
Effects of Intervention Program Prev@cib on Traditional Bullying and Cyberbullying
2019
Due to the negative consequences of being bullied and the increase in cyberbullying among adolescents, there is a need for evidence-based programs to prevent and intervene in these types of peer violence. The aim of this study was to evaluate the effectiveness of the Prev@cib bullying and cyberbullying program, drawing on three theoretical frameworks: the ecological model, empowerment theory, and the model of personal and social responsibility. The Prev@cib program was evaluated using a repeated-measures pre-post-test design with an experimental group and a control group. The sample consisted of 660 adolescents between 12 and 17 years old (M = 13.58, SD = 1.26), randomly assigned to the exp…
The impact of diet during adolescence on the neonatal health of offspring: evidence on the importance of preconception diet. The HUNT study
2020
Background: Emerging evidence suggests that parents' nutritional status before and at the time of conception influences the lifelong physical and mental health of their child. Yet little is known about the relationship between diet in adolescence and the health of the next generation at birth. This study examined data from Norwegian cohorts to assess the relationship between dietary patterns in adolescence and neonatal outcomes. Methods: Data from adolescents who participated in the Nord-TrA¸ndelag Health Study (Young-HUNT) were merged with birth data for their offspring through the Medical Birth Registry of Norway (MBRN). Young-HUNT1 collected data from 8980 adolescents between 1995 and 19…
International Trends in Adolescent Screen-Time Behaviors From 2002 to 2010
2016
Abstract Purpose Engaging in prolonged screen-time behaviors (STBs) is detrimental for health. The objective of the present analyses was to examine temporal trends in TV viewing and computer use among adolescents across 30 countries. Methods Data were derived from the cross-national Health Behaviour in School-aged Children study. Data on TV viewing and computer use for gaming and nongaming purposes were collected in 2002 (n = 139,725 [51.4% girls]), 2006 (n = 149,251 [51.3% girls]), and 2010 (n = 154,845 [51.2% girls]). The temporal trends in TV viewing and computer use were each tested for all countries combined and for each individual country by sex-specific univariate analysis of varianc…