RESUMO
Introducción. En el cyberbullying se utilizan medios electrónicos para intimidar. El objetivo del presente trabajo fue determinar la prevalencia de cyberbullying, identificar algunas características, explorar asociación con el bullying y analizar factores de riesgo y consecuencias. Métodos. El estudio incluyó alumnos de secundaria. El cyberbullying se utilizó como variable de exposición y de resultado. Se aplicó estadística no paramétrica y regresión logística. Resultados. Se encuestaron 603 alumnos, con media de edad de 13.4 años (DE 0.98 años). Fueron más prevalentes las cibervíctimas. El teléfono celular fue la herramienta más utilizada para intimidar. El factor de riesgo más importante para cibervíctimas fue "sentirse inseguro en la escuela" (X²=6.485 p=0.011 OR=4.1 IC95% 1.30-11.2). Para ciberagresores, "usar la computadora a escondidas de los padres y a altas horas de la noche" (X²=14.584 p<0.05 OR=4.2 IC95% 2.10-16.30); para cibervíctimas-ciberagresores, "ser mujer" (X²=2.891 p>0.05 OR=3.50 IC95% 1.70-16.80). La mayor asociación con bullying fue para varones y entre los roles víctima-agresor tradicional y ciberagresor (X²=28.821 p<0.05 OR=7.37 IC95% 3.78-14.3). Al considerar al ciberbullying como variable de exposición, la principal consecuencia fue la cefalea para el rol de ciberagresor (X²=15.125 p<0.05 OR=7.91 IC95% 2.28-29.6). Conclusiones. La prevalencia de cyberbullying fue menor a otras investigaciones, pero los factores de riesgo y las consecuencias son relevantes.
Background. Cyberbullying uses electronic tools to intimidate. We undertook this study to determine the prevalence of cyberbullying and to identify its characteristics. We explored the association with bullying and analyzed consequences and risk factors. Methods. Junior-high-school students were included. Cyberbullying was used as exposure and outcome variable. Nonparametric statistic and logistic regression were applied. Results. Six hundred three students with a mean age of 13.4 years (SD 0.98 years) were included. Cybervictims were more prevalent. The cell phone was the most common tool used to intimidate. The most important risk factor for cybervictims was "feeling unsafe at school" (c² = 6.485 p = 0.011 OR = 4.1 95% CI 1.30-11.2); for cyberaggressors it was "to use the computer hidden from parents and late at night" (c² = 14.584 p <0.05 OR = 4.2 95% CI 2.10-16.30); for cybervictims-cyberaggressors it was "to be female" (c² = 2.891 p >0.05 OR = 3.50 95% CI 1.70-16.80). The strongest association with bullying was shown for males and between traditional victim-aggressor and cyberaggressor roles (c² = 28.821 p <0.05 OR = 7.37 95% CI 3.78-14.3). When cyberbullying was considered as the exposure variable, the most relevant outcome measure was "to have headaches" for cyberaggressors (c² = 15.125 p <0.05 OR=7.91 95% CI 2.28-29.6). Conclusions. The prevalence of cyberbullying was less than demonstrated in other studies, but the risk factors and consequences are relevant.
RESUMO
OBJECTIVE: The aim of this study was to determine the association between obesity and caries by utilizing the data of a cohort of preschool children aged 4-5 years. METHODS: Data were obtained from a cohort of 1,160 children. Dental caries detection was performed according to the World Health Organization criteria. The caries index was measured as the number of decayed (d), extracted (e), and filled (f) teeth (t) (deft), or surfaces (defs). The body mass index (BMI) in units of kg/m2 was determined, and children were categorized according to age- and gender-specific criteria as normal weight (5th-85th percentile), at-risk overweight (> or = 85th-<95th percentile), and overweight (> or = 95th percentile). Odds ratios were determined for at-risk overweight and overweight children using logistic regression. RESULTS: The prevalence of dental caries was 17.9 percent. A slightly higher percentage of dental caries was found in boys (19.6 percent) than in girls (16.4 percent). From the total sample, the mean BMI was 17.10 +/- 3.83. Approximately 53.7 percent of children were classified as normal weight, 14.2 percent as at-risk overweight, and 32.1 percent as overweight. At-risk overweight children were higher among girls (17.1 percent) than among boys (11.3 percent). When adjusted for covariates, the logistic regression model showed that there was a significant association between at-risk overweight children (P < 0.001), overweight children (P < 0.001), and caries in the primary dentition. Mean (SD) deft value of the sample was 1.08 (2.34), while the corresponding defs value was 1.43 (3.29). CONCLUSION: Obesity appears to be associated with dental caries in the primary dentition of preschool Mexican children.
