Adolescent health risk behaviors and Family Health Strategy educational activities in Cuiabá, Mato Grosso State, Brazil, 2011

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to analyze health risk behaviors in adolescents and Family Health Strategy (FHS) educational activities in Cuiabá, Mato Grosso State, Brazil. a cross-sectional study was conducted using data from a survey with adolescents registered with FHS in 2011/2012; Poisson regression was used to estimate prevalence ratios (PR) and 95% confidence interval (CI95%). there was low participation in educational activities on alcohol (23%), food (10%) and physical activity (9%); insufficient physical activity was higher in girls (PR=0.76 - 95%CI 0.68;0.85), alcohol consumption was associated with the 15-19 age range (PR=1.48 - 95%CI 1.29;1.71) and low fruit and vegetable intake was associated with income of ≤2 minimum wages (PR=1.17 - 95%CI 1.02;1.33). there was no significant association between adolescent risk behaviors and their participation in FHS educational activities.

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School-aged Children’s Psychobiological Divergence as a Prospective Predictor of Health Risk Behaviors in Adolescence
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  • Journal of Child and Family Studies
  • Jessica L Borelli + 2 more

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The Association Between Physical Activity And Health Risk Behaviors in Brazilian Adolescents
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  • Medicine & Science in Sports & Exercise
  • Fabio E Fontana + 6 more

Adolescence is a critical period where major physical and psychologic changes occur. It is also a period where several lifelong health related behaviors are adopted and established. Behaviors such as unhealthy eating, tobacco use, alcohol use, and physical inactivity are related to major causes of morbidity and mortality among young and adults. Physical activity (PA) is an important behavior during adolescence not only because it is associated with general health, but also because it may be associated with other health-related risk behaviors. PURPOSE: To examine the association of physical activity with health risk behaviors in adolescents from Curitiba- Brazil. METHODS: A cross-section study was carried out with a representative sample of 928 (mean age 14.06 ± 1.91 years old, 467 girls) adolescents enrolled in 14 randomly selected public schools from Curitiba, Brazil. The Brazilian version of the Youth Activity Profile survey evaluated PA levels and the YRBS survey evaluated fruit, vegetable, alcohol, and tobacco consumption in the past 30 days. The Adolescent Sedentary Questionnaire evaluated total screen time. Binary Logistic regression measured the association between PA levels and risk behaviors after controlling for gender, age, BMI status, income status, and parent educational level. RESULTS: PA was inversely associated with low fruit consumption (OR = .50, 95% IC = .38 - .66, p <.001), low vegetable consumption (OR =.55, 95% IC = .42 - .73, p < .001), and high screen Time (≥3 hours/day) (OR = .79, 95% IC = .65 - .96, p < .001). Additionally, PA was positively associated with the consumption of at least one dose of alcohol in the past 30 days (OR = 1.47, 95% IC = 1.15 – 1.88, p < .001), and with the excessive consumption of alcohol (OR = 1.73, 95% IC = 1.29 – 2.33, p <.001). PA was not associated with Tobacco consumption (OR = 1.01, 95% IC = .67 – 1.52, p = .96). CONCLUSION: The results indicated that adolescents with higher PA levels consumed more fruits and vegetables and spent less time in front of electronic screens. However, adolescents with higher levels of PA were also more likely to report alcohol consumption in the past 30 days. The social characteristics of alcohol consumption may explain its positive relationship to PA. Supported by CNPq, Brazil.

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  • 10.16835/j.cnki.1000-9817.2019.03.013
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  • Chinese Journal of School Health
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Addressing Common Risk and Protective Factors Can Prevent a Wide Range of Adolescent Risk Behaviors
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To explore possible interrelationships among resistance to peer pressure, risky decision-making and health risk behaviors among young adolescents. Based on the cluster sampling method, the participants who were recruited from 5 junior middle schools in Guangzhou and 3 junior middle schools in Shenyang city on October, 2010, were administered to complete the questionnaire concerned with their experiences with drinking and smoking during the past 30 days preceding the survey, and the hours using computer daily both in weekdays and in weekend. The level of resistance to peer influence and risky decision-making were assessed by Resistance to peer influence scale (RPIS) and Youth decision-making questionnaire (YDMQ). Logistic regression was used to explore possible interrelationships among resistance to peer influence, risky decision-making and health risk behaviors among young adolescents. A total of 1985 questionnaires were valid, including 1001(50.4%) boys and 984 (49.6%) girls. About 27.1% (537/1985) junior middle school students reported having health risk behaviors, boys' (30.7%, 307/1001) was higher than girls' (23.4%, 230/984) with significant gender difference (P < 0.05). The prevalence of smoking, drinking during the past 30 days before the survey and using computer over 3 hours daily in weekdays and in weekend were 5.1% (102/1985), 14.3% (284/1985), 3.5% (70/1985) and 13.7% (272/1985), respectively. The rate of drinking, using computer over 3 hours daily in weekdays and in weekend were higher in males (16.4% (164/1001), 4.5% (45/1001), 16.2% (162/1001)) than those in females (12.2% (120/984), 2.5% (25/984), 11.2% (110/984)) (P < 0.05). The scores of RPIS and YDMQ of the two cities adolescents were 2.82 ± 0.39 and 1.68 ± 0.62. The students reported smoking, drinking during the past 30 days before the survey and using computer over 3 hours daily in weekend gained lower RPIS scores (2.43 ± 0.40, 2.61 ± 0.41, 2.77 ± 0.40) than their counterparts who didn't report these kind of health risk behaviors (2.84 ± 0.38, 2.85 ± 0.38, 2.82 ± 0.39)(P < 0.05). And those reported smoking, drinking during the past 30 days before the survey and using computer over 3 hours daily in weekdays and in weekend gained higher YDMQ scores (2.38 ± 0.66, 2.06 ± 0.66, 1.97 ± 0.72, 1.84 ± 0.64, respectively) than their counterparts who didn't report these kind of health risk behaviors (1.64 ± 0.38, 1.61 ± 0.58, 1.67 ± 0.61, 1.65 ± 0.61, respectively) (P < 0.05). After adjusting gender, area, parental education degree, self-reported family economic condition, multi-variant logistic regression analysis indicated that the low and middle level of resistance to peer influence (low and middle level vs high level, had odds ratios of 2.97 (1.96 - 4.50) and 1.51 (1.05 - 2.16)), and also the middle and high level of risky decision-making (middle and high level vs low level, had odds ratios of 1.62 (1.19 - 2.22) and 3.43 (2.39 - 4.90)) were all the risk factors of adolescent health risk behaviors. Adolescents with poor ability of resistance to peer pressure and high risky decision-making were both the risk factors of adolescent health risk behaviors.

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  • Research Article
  • 10.32398/cjhp.v4i3.1968
Pre-Service Educators’ Confidence and Efficacy in Dealing with Child and Adolescent Risk Behaviors in Diverse Classroom Settings
  • Sep 1, 2006
  • Californian Journal of Health Promotion
  • Tammy Jordan Wyatt

Continuing behavioral research has documented the mounting prevalence of child and adolescent health risk behaviors. Fifty pre-service educators were assessed regarding their perception of critical factors that would influence their confidence, comfort, and efficacy levels in dealing with child and adolescent risk behaviors. Study results revealed that administrative support and legal concerns, personal experiences, educational training, the student’s family, professional advice, and student support services influence preservice educators’ reactions to student risk behaviors. Factors essential to enhancing pre-service educators’ confidence, comfort, and efficacy levels include providing opportunities to gain skills in tackling risk behaviors; addressing legal issues, such as confidentiality, student rights, and district policies, within a teacher training program; offering professional advice regarding effective strategies for handling risk behaviors in the classroom and school settings; enlightening campus administrators of the importance of perceived teacher support; as well as informing counselors and other support personnel of their identified role as informational resources.

  • Research Article
  • Cite Count Icon 9
  • 10.1080/08964289.2022.2057407
Association of Weight Perception, Body Satisfaction, and Weight Loss Intention With Patterns of Health Risk Behaviors in Adolescents With Overweight and Obesity
  • Apr 5, 2022
  • Behavioral Medicine
  • Samantha S D E Medeiros + 2 more

Obesity is a public health issue and childhood is a critical window in which to establish healthy eating patterns and modify risk factors for overweight. This study aims to verify the association of weight perception, body satisfaction, and weight loss intention with patterns of health risk behaviors in adolescents with overweight and obesity. We analyzed health risk behavior from a school-based national survey conducted in 2015 in Brazil (n = 2,703 students with overweight or obesity, aged 13–17 years). We performed latent class analysis of alcohol consumption, tobacco use, physical activity, screen time, and eating habits for adolescents with overweight and identified four distinct health behavior patterns. The association of these patterns with weight perception, body satisfaction, and weight loss intention was analyzed through multinomial logistic regression. Adolescents who perceived themselves as “fat” or “very fat” were more likely to have a sedentary lifestyle and low consumption of fruit and vegetables. Body satisfaction was a protective factor against sedentary lifestyle. Students who reported weight loss intention were less likely to be in high–health-risk behavior groups (low consumption of fruit and vegetables; sedentary lifestyle; tobacco and alcohol use). Self-perception as overweight had detrimental associations, while body satisfaction was a protective factor for a healthy lifestyle. Weight loss intention still requires rigorous analysis due to inconsistencies in the literature. The complexity of the relationship between body image and obesity needs to be highlighted. Multicomponent strategies are required to control the global obesity pandemic.

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