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1.
Rev Esp Salud Publica ; 972023 May 03.
Artigo em Espanhol | MEDLINE | ID: mdl-37132395

RESUMO

OBJECTIVE: The problematic use of mobile phones is a phenomenon that can be associated with a specific individual profile and it has been seen that there are associated factors, although most of them have been studied in a limited way and in small samples. The aim of this study was to describe the association between the problematic use of the mobile phone and social traits, health, and health-related behaviors among high school students. METHODS: This is a cross-sectional study performed in a representative sample of students aged 13-18 years in the Lifestyle Risk Factors in Secondary School Students (FRESC) survey conducted in 2016 in Barcelona (n=3,778). Problematic mobile phone use was obtained from the Mobile Related Experiences Questionnaire (CERM). Multivariate logistic regression models were built to assess the relationship between this variable and social, health and behavioural variables. RESULTS: A total of 52% of girls and 44% of boys reported frequent or occasional problems with their mobile phone usage. The factors associated with the dependent variable were poor relationships with the family, mobile phone usage before sleeping or during dinner, inadequate hours of sleep, sedentariness, substance consumption and poor mental health. CONCLUSIONS: The problematic use of the mobile is frequent among students and there are several associated social, health and behavioral factors. There are substantial differences by sex and age, with the strongest associations in younger girls.


OBJETIVO: El uso problemático del teléfono móvil es un fenómeno que puede estar asociado a un perfil individual concreto y se ha visto que hay factores asociados, aunque, mayoritariamente, se han estudiado de forma limitada y en muestras pequeñas. El objetivo de este estudio fue describir la asociación entre el uso problemático del teléfono móvil y los rasgos sociales, la salud y las conductas relacionadas con la salud entre estudiantes de Secundaria. METODOS: Se realizó un estudio transversal realizado en una muestra representativa de estudiantes de trece a dieciocho años procedentes de la encuesta Factores de riesgo en el estilo de vida en estudiantes de secundaria (FRESC), realizada en 2016 en Barcelona (n=3.778). El uso problemático del móvil se obtuvo del Cuestionario de experiencias relacionadas con el móvil (CERM). Se construyeron modelos de regresión logística multivariante para evaluar la relación entre esta variable y las variables sociales, de salud y de comportamiento. RESULTADOS: Un total de 52% de chicas y 44% de chicos reportaron problemas frecuentes u ocasionales con el uso de su teléfono móvil. Los factores asociados al uso problemático del teléfono móvil fueron: malas relaciones con la familia; uso del móvil antes de dormir o visionado de pantallas durante la cena; horas de sueño inadecuadas; sedentarismo; consumo de sustancias; y mala salud mental. CONCLUSIONES: El uso problemático del teléfono móvil es frecuente entre los estudiantes y hay varios factores sociales, de salud y comportamientos asociados. Existen diferencias sustanciales por sexo y edad, siendo las asociaciones más fuertes en las chicas más jóvenes.


Assuntos
Telefone Celular , Estudantes , Masculino , Feminino , Humanos , Estudos Transversais , Espanha/epidemiologia , Inquéritos e Questionários , Estudantes/psicologia
2.
Rev. esp. salud pública ; 97: [e202305036], May. 2023. tab
Artigo em Espanhol | IBECS | ID: ibc-221446

RESUMO

Fundamentos: El uso problemático del teléfono móvil es un fenómeno que puede estar asociado a un perfil individual concretoy se ha visto que hay factores asociados, aunque, mayoritariamente, se han estudiado de forma limitada y en muestras pequeñas. Elobjetivo de este estudio fue describir la asociación entre el uso problemático del teléfono móvil y los rasgos sociales, la salud y lasconductas relacionadas con la salud entre estudiantes de Secundaria.Métodos: Se realizó un estudio transversal realizado en una muestra representativa de estudiantes de trece a dieciocho añosprocedentes de la encuestaFactores de riesgo en el estilo de vida en estudiantes de secundaria (FRESC), realizada en 2016 enBarcelona (n=3.778). El uso problemático del móvil se obtuvo delCuestionario de experiencias relacionadas con el móvil (CERM). Seconstruyeron modelos de regresión logística multivariante para evaluar la relación entre esta variable y las variables sociales, desalud y de comportamiento.Resultados: Un total de 52% de chicas y 44% de chicos reportaron problemas frecuentes u ocasionales con el uso de suteléfono móvil. Los factores asociados al uso problemático del teléfono móvil fueron: malas relaciones con la familia; uso del móvilantes de dormir o visionado de pantallas durante la cena; horas de sueño inadecuadas; sedentarismo; consumo de sustancias; ymala salud mental.Conclusiones: El uso problemático del teléfono móvil es frecuente entre los estudiantes y hay varios factores sociales, desalud y comportamientos asociados. Existen diferencias sustanciales por sexo y edad, siendo las asociaciones más fuertes en laschicas más jóvenes.(AU)


Background: The problematic use of mobile phones is a phenomenon that can be associated with a specific individual profileand it has been seen that there are associated factors, although most of them have been studied in a limited way and in small sam-ples. The aim of this study was to describe the association between the problematic use of the mobile phone and social traits, health,and health-related behaviors among high school students.Methods: This is a cross-sectional study performed in a representative sample of students aged 13-18 years in theLifestyle RiskFactors in Secondary School Students (FRESC) survey conducted in 2016 in Barcelona (n=3,778). Problematic mobile phone use wasobtained from theMobile Related Experiences Questionnaire (CERM). Multivariate logistic regression models were built to assess therelationship between this variable and social, health and behavioural variables.Results: A total of 52% of girls and 44% of boys reported frequent or occasional problems with their mobile phone usage. Thefactors associated with the dependent variable were poor relationships with the family, mobile phone usage before sleeping or duringdinner, inadequate hours of sleep, sedentariness, substance consumption and poor mental health.Conclusions: The problematic use of the mobile is frequent among students and there are several associated social, health andbehavioral factors. There are substantial differences by sex and age, with the strongest associations in younger girls.(AU)


Assuntos
Humanos , Masculino , Feminino , Adolescente , Smartphone , Comportamento do Adolescente , Tempo de Tela , Tecnologia da Informação , Hábitos , Comportamento Aditivo , Estudos Transversais , Inquéritos e Questionários , Saúde Mental , Rede Social , Fatores de Risco
4.
Rev Esp Salud Publica ; 80(6): 657-64, 2006.
Artigo em Espanhol | MEDLINE | ID: mdl-17147305

RESUMO

BACKGROUND: Cohort study survival analysis does not take into account the age at which an individual dies, but rather the age throughout which the individual has been included in the follow-up. This study is aimed at assessing the resulting differences in the calculation of the relative risk (RR) when the age is used instead of follow-up as a timescale in the chronic diseases survival analysis. METHODS: The five-year cohort follow-up data for the Catalan Health Interview Survey (COHESCA) is analyzed. Cox models are adjusted to the follow-up time ("standard" approach) and the age ("alternative" approach) as the timescale. The main covariable used is the comorbility index, which is adjusted by demographics, lifestyles and self-perceived health. RESULTS: Among men in the 40-64 age range, using the "standard" approach, no significant increase in the RR of death was found. Among women within the 40-64 age range with a 3-4 score on the index, there was a significant increase in the RR. Among those over age 64, a significant increase in the risk was found for the 3-4 score (RRmen = 2.1 (1.3-2.5); RRwomen = 2.1 (1.2-3.7)) and > = 5 on the index (RRmen = 3.4 (1.7-6.9); RRwomen = 4.0 (2.1-7.7)). Using the "alternative" approach, the RR was 1.0 (0.7-1.4) among men with a score of 1-2, 1.5 (1.0-2.3) for those with a score of 3-4 and 2.6 (1.4-4.9) for those with a score of > = 5. Among women, the RR were respectively 0.8 (0.5-1.2), 1.7 (1.1-2.7) and 2.6 (1.5-4.8). CONCLUSIONS: Both approaches showed an increase in the RR according to the comorbility index. However, in the "alternative" approach, it is adjusted by the confounding effect of age.


Assuntos
Doença Crônica/mortalidade , Adulto , Distribuição por Idade , Idoso , Idoso de 80 Anos ou mais , Estudos de Coortes , Feminino , Seguimentos , Humanos , Masculino , Pessoa de Meia-Idade , Risco , Análise de Sobrevida
5.
Rev. esp. salud pública ; 80(6): 657-664, nov.-dic. 2006. tab, ilus
Artigo em Espanhol | IBECS | ID: ibc-75320

RESUMO

Fundamento: El análisis de supervivencia de estudios de cohortesno tiene en cuenta la edad a la que un individuo muere sino duranteel cual ha estado siendo incluido en el seguimiento. El objetivo deeste trabajo es valorar las diferencias que resultan en el cálculo delriesgo relativo cuando se utiliza la edad en lugar de seguimientocomo escala de tiempo en el análisis de supervivencia de los trastornoscrónicos.Métodos: Se analizan los datos de la cohorte de seguimiento de5 años de la encuesta de salud de Cataluña (COHESCA). Se ajustanmodelos de Cox con el tiempo de seguimiento (enfoque «habitual»)y la edad (enfoque «alternativo») como escala de tiempo. Comoprincipal covariable se usa el índice de comorbilidad y se ajusta porvariables demográficas, estilos de vida y salud auto-percibida.Resultados: En los hombres de 40-64 años en el enfoque "habitual"no se observa aumento significativo del riesgo relativo de morir.En las mujeres de 40-64 años con puntuación 3-4 del índice hay unincremento significativo del riesgo relativo. En las personas mayoresde 64 años se observa un aumento significativo del riesgo para la puntuación3-4 [RRhombres=2,1 (1,3-2,5); RRmujeres=2,1 (1,2-3,7)] y>=5 del índice (RRhombres=3,4 (1,7-6,9); RRmujeres=4,0 (2,1-7,7).En el enfoque «alternativo», el riesgo relativo fue de 1,0 (0,7-1,4) enlos hombres con una puntuación de 1-2, 1,5 (1,0-2,3) para los de 3-4y 2,6 (1,4-4,9) para los de >=5. En las mujeres, los RR fueron respectivamente0,8 (0,5-1,2), 1,7 (1,1-2,7) y 2,6 (1,5-4,8).Conclusiones: Ambos enfoques muestran un aumento del riesgorelativo según el índice de comorbilidad. Sin embargo, en el enfoque«alternativo», se ajusta por el efecto confundidor de la edad(AU)


Background: Cohort study survival analysis does not take intoaccount the age at which an individual dies, but rather the agethroughout which the individual has been included in the follow-up.This study is aimed at assessing the resulting differences in the calculationof the relative risk (RR) when the age is used instead offollow-up as a timescale in the chronic diseases survival analysis.Methods: The five-year cohort follow-up data for the CatalanHealth Interview Survey (COHESCA) is analyzed. Cox models areadjusted to the follow-up time («standard» approach) and the age(«alternative» approach) as the timescale. The main covariable usedis the comorbility index, which is adjusted by demographics, lifestylesand self-perceived health.Results: Among men in the 40-64 age range, using the «standard» approach, no significant increase in the RR of death wasfound. Among women within the 40-64 age range with a 3-4 score onthe index, there was a significant increase in the RR. Among thoseover age 64, a significant increase in the risk was found for the 3-4score (RRmen= 2.1(1.3-2.5); RRwomen=2.1(1.2-3.7)) and >=5 onthe index (RRmen= 3.4(1.7-6.9); RRwomen=4.0(2.1-7.7)). Usingthe «alternative» approach, the RR was 1.0 (0.7-1.4) among menwith a score of 1-2, 1.5 (1.0-2.3) for those with a score of 3-4 and 2.6(1.4-4.9) for those with a score of >=5. Among women, the RR wererespectively 0.8 (0.5-1.2), 1.7 (1.1-2.7) and 2.6 (1.5-4.8).Conclusions: Both approaches showed an increase in the RRaccording to the comorbility index. However, in the «alternative»approach, it is adjusted by the confounding effect of age(AU)


Assuntos
Humanos , Fatores Etários , Taxa de Sobrevida/tendências , Doença Crônica/epidemiologia , Estudos de Coortes , 28423 , Fatores de Confusão Epidemiológicos , Fatores de Risco , Comorbidade
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