Factores de riesgo y consecuencias del cyberbullying en un grupo de adolescentes: Asociación con bullying tradicional / Risk factors and consequences of cyberbullying in teenagers: association with bullying

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.

Prevalencia de caries dental en adolescentes: asociación con género, escolaridad materna y estatus socioeconómico familia / Prevalence of dental caries in adolescents: association with gender, mother´s education level and family socioeconomic status

Introducción y Objetivo: La prevalencia de caries dental parece estar aumentando y los determinantes no están bien establecidos. Determinar la prevalencia de la caries dental en adolescentes y su asociación con el género, escolaridad materna y el estatus socioeconómico familiar. Materiales y Métodos: Es un estudio transversal de 1.893 adolescentes escolares, en edades de 13 a 18 años. La caries se identificó por exploración física directa. Se utilizó modelo de regresión logística para determinar la asociación entre el sexo, escolaridad materna, estatus socioeconómico familiar y la caries. El índice de caries fue medido como el número de dientes con caries (C), obturados (O), perdidos por caries (P), (COP-D) o superficies (COP-S) Resultados: La prevalencia de caries dental fue de 48,2%. El porcentaje de caries fue similar en hombres y en mujeres (48,3 vs. 48,2%). En la población total estudiada, el valor medio de COP-D fue 1,68±0,52 y el correspondiente valor medio de COP-S fue 2,47±1,08. Aproximadamente, 52,2% de las madres de los adolescentes tenían estudios menores a los de secundaria y 44,5% de los adolescentes vivían en el seno de una familia con nivel económico bajo. De acuerdo a los datos, el sexo, la escolaridad materna, el nivel socioeconómico no se encuentran relacionados con la caries dental en adolescentes. Conclusiones: Nuestros datos muestran que no existe asociación entre el sexo, escolaridad materna, nivel socioeconómico bajo y la caries dental en adolescentes. La caries dental afecta a un porcentaje importante de adolescentes.

Introduction and Objetive: Prevalence of dental caries appears to be increasing, and determinants are not well established. To determine the prevalence of dental caries in adolescents and its association with sex, maternal education and family socioeconomic status. Materials and Methods: This a cross-sectional study of 1.893 adolescent students, age 13 to 18 years. Dental caries was assessed by an intra-oral examination. Logistical regression was used to determine the association between sex, maternal schooling, family socioeconomic status and caries. Decay rate was measured as the number of teeth with decay (C), filled (O), extracted (P), (COP-D) or surfaces (COP-S). Results: Dental caries prevalence was 48,2%. Percentage of caries was similar in boys (48,3% vs. 48,2%) and in girls. In the overall population studied, the mean value of COP-D was 1,68±0,52 and the corresponding mean value of COP-S was 2,47±1,08. Approximately 52,2% of mothers of adolescents had completed High School and 44,5% of adolescents lived in a family with low economic status. According to the data, gender, maternal education and socioeconomic status were not related to dental caries in adolescents. Conclusions: Our data show no association between sex, maternal education, family low socioeconomic status and dental caries in adolescents. Dental caries affects a large percentage of adolescents.

[Asthma prevalence in adolescents. Relation to sex and active smoking]. / Prevalencia de asma en adolescentes. Relación con el sexo y el tabaquismo activo.

BACKGROUND: Asthma prevalence in adolescents appears to be increasing and determinants are not well established. OBJECTIVE: To determine the association between sex and active smoking with asthma prevalence in adolescents. PARTICIPANTS AND METHOD: In this cross-sectional study 6,922 students, ages 12 to 18 years, residents in an area of northeastern Mexico, were included. We developed a questionnaire based on The International Study of Asthma and Allergies in Childhood (ISAAC) and on The European Community Respiratory Health Survey (ECRHS). The association between sex and active smoking with asthma prevalence was determined using a logistic regression model. RESULTS: Of the total population, 46.3% were males, 7.3% suffered from asthma and 17.3% were cigarette smokers. We found that sex (OR = 0.55; CI 95%: 0.48-0.63) and active smoking (adjusted OR = 1.12; CI 95%: 0.89-1.42) were not associated with asthma prevalence. Females (OR = 1.44; CI 95%: 1.13-1.84) and active smoking (adjusted OR = 1.38; CI 95%: 1.15-1.67) were associated with prevalence of wheezing in the last 12 months, and with prevalence of dry cough at night (OR = 1.53; CI 95%: 1.34-1.76). CONCLUSIONS: Teenager males and active smoking were not associated with asthma prevalence. Females had an association with wheezing in the last 12 months and dry cough at night.

Effect of allergic rhinitis, asthma and rhinobronchitis on dental malocclusion in adolescents.

OBJECTIVE: To determine the effect of allergic rhinitis (AR), asthma, rhinobronchitis (ARB) on dental malocclusion in adolescents. METHOD: This is a cross-sectional, observational, retrospective and sample descriptive study of 2556 adolescents aged 14-20 years. AR, asthma and ARB were defined by self-reported. Malocclusion was identified by direct physical examination. Data were analyzed by the SPSS 10.0 version statistical program, adjusted OR value (Odds Ratio) using a logistic regression model was determined, ji square was calculated, an 95% Confidence Intervals was used. Equal or smaller values of p < 0.05 were considered statistically significant. RESULTS: Percentage of male sex was 42.7% and female 57.3%. Prevalence of AR was 39.3%, asthma 6.9%, ARB 4.5%, and malocclusion, 37.2%. A higher percentage of malocclusion was found in adolescents with asthma (48.3% vs 36.3%). For the groups of asthma (adjusted OR = 1.78; p = 0.017) and RA (fit OR = 1.20, p = 0.032) were inferred that these pathologies to favor the malocclusion in adolescents, this did not happen with the group of RBA (OR fit = 0.81; p = 0.511). The prevalence of open bite was greater in adolescents with asthma (44.3% vs. 31.3%). For the asthma group (OR fit = 1.66; p = 0.037) we deduced that the development of anterior open bite is favored, this was not thus for the groups of RBA (OR fit = 1.01; p = 0.956) and RA (OR fit = 1.17; p = 0.071). Nor AR, asthma orARB have any effect on posterior open bite. CONCLUSIONS: Asthma is related to malocclusion in adolescents, particularly to anterior open bite. AR and ARB do not favor the development of malocclusion.

Asociación entre atopia familiar, exposición a humo de tabaco, tabaquismo activo, obesidad y asma en adolescentes / Associations between family history of allergy, exposure to tobacco smoke, active smoking, obesity, and asthma in adolescents

Objetivo: Es necesario aclarar la relación entre varias exposiciones ambientales y sociales y el asma en la población adolescente. El objetivo de este estudio ha sido determinar la asociación entre la atopia familiar, la inhalación pasiva o activa de humo de tabaco, la obesidad y el asma en adolescentes. Sujetos y métodos: Se ha realizado un estudio de casos y controles basado en un estudio de población. Se encuestó a 4.003 estudiantes de 13 a 18 años de edad, seleccionados aleatoriamente, que acudían a escuelas de secundaria y preparatoria de un área urbana del nordeste de México. La información sobre las variables estudiadas se recabó a través de la exploración física y de la aplicación de un cuestionario por parte de personal capacitado. Se formaron 2 grupos de estudio: uno compuesto por 253 adolescentes con asma, y un grupo control formado por estudiantes sin asma. Resultados: De los resultados se desprende que la atopia familiar (odds ratio [OR] = 1,62; intervalo de confianza [IC] del 95%, 1,28-2,06), la exposición involuntaria al humo de tabaco (OR = 1,53; IC del 95%, 1,18-1,99) y la obesidad (OR = 1,96; IC del 95%, 1,45-2,65) se encuentran asociadas con el asma en adolescentes. El sexo femenino y el tabaquismo activo no se relacionan con dicha enfermedad. El porcentaje de obesos fue mayor en el grupo de adolescentes con asma (18,2%) que en el grupo control (12,8%). Conclusiones: La atopia familiar, la inhalación involuntaria de humo de tabaco y la obesidad parecen ser los factores de riesgo más importantes para el desarrollo de asma en adolescentes. La relación entre tabaquismo activo y asma requiere una mejor evaluación

Objective: The relationships between asthma in adolescents and various environmental and social exposures needs to be clarified. The aim of this study was to determine the association between family history of allergy, passive or active tobacco smoking, obesity, and asthma in adolescents. Subjects and methods: A population­based case­control study was carried out. A random sample of 4003 students aged 13 to 18 years old was selected from secondary and preparatory schools in an urban area in northeastern Mexico. Data was gathered in physical examinations and with a questionnaire administered by trained staff. Two study groups were formed: a group of 253 adolescents with asthma and a control group of students without asthma. Results: Variables associated with asthma were family history of allergy (odds ratio [OR], 1.62; 95% confidence interval [CI], 1.28-2.06), passive smoking (OR, 1.53; 95% CI, 1.18-1.99), and obesity (OR, 1.96; 95% CI, 1.45-2.65). Female gender and active smoking were unrelated to asthma. The percentage of obese adolescents was higher in the group of asthmatics (18.2%) than in the control group (12.8%). Conclusions: Family history of allergy, passive tobacco smoking, and obesity seem to be the main risk factors for the development of asthma in adolescents. The relationship of active smoking and asthma requires further study