Asociación entre horas de televisión, actividad física, horas de sueño y exceso de peso en población adulta joven / Association between hours of television watched, physical activity, sleep and excess weight among young adults

Objetivo Analizar la asociación de las horas de televisión, la actividad física autorreferida y las horas de sueño con el exceso de peso corporal o el índice de masa corporal (IMC) en población universitaria. Métodos Se han analizado de forma transversal los datos basales de 1135 participantes de 17 a 35 años de edad del proyecto «Dieta, antropometría y salud en población universitaria». Se recogió información sobre las horas de televisión y de sueño, la actividad física, el peso y la talla autorreferidos, y otras variables de interés. Se calculó el IMC (kg/m2) y se definió el exceso de peso (IMC ≥25). Se usó regresión logística múltiple para analizar la asociación entre las variables de interés y el exceso de peso (no/sí), y regresión lineal múltiple para el IMC. Resultados La prevalencia de exceso de peso fue de 13,7% (11,2% sobrepeso y 2,5% obesidad). Se encontró una asociación significativa entre el exceso de peso y más horas de televisión. Tomando como referencia a los que veían televisión ≤1h al día, los que la veían >2h al día (categoría superior) presentaron una odds ratio de 2,13 (intervalo de confianza del 95%: 1,37-3,36; p tendencia: 0,002). Una menor actividad física autorreferida se asoció a un mayor riesgo de exceso de peso, aunque la asociación sólo resultó significativa en el análisis de regresión lineal múltiple (p=0,037). No se encontró asociación entre el exceso de peso y las horas de sueño. Conclusiones Más horas de televisión y una menor actividad física se asociaron significativamente con un aumento del IMC en la población universitaria estudiada. Ambos factores pueden modificarse con estrategias preventivas (AU)

Objective To explore the association between excess weight or body mass index (BMI) and the time spent watching television, self-reported physical activity and sleep duration in a young adult population. Methods We analyzed cross-sectional baseline data of 1,135 participants (17-35 years old) from the project Dieta, salud y antropometría en población universitaria (Diet, Health and Anthrompmetric Variables in Univeristy Students). Information about time spent watching television, sleep duration, self-reported physical activity and self-reported height and weight was provided by a baseline questionnaire. BMI was calculated as kg/m2 and excess of weight was defined as ≥25. We used multiple logistic regression to explore the association between excess weight (no/yes) and independent variables, and multiple linear regression for BMI. Results The prevalence of excess weight was 13.7% (11.2% were overweight and 2.5% were obese). A significant positive association was found between excess weight and a greater amount of time spent watching television. Participants who reported watching television >2h a day had a higher risk of excess weight than those who watched television ≤1h a day (OR=2.13; 95%CI: 1.37-3.36; p-trend: 0.002). A lower level of physical activity was associated with an increased risk of excess weight, although the association was statistically significant only in multiple linear regression (p=0.037). No association was observed with sleep duration. Conclusion A greater number of hours spent watching television and lower physical activity were significantly associated with a higher BMI in young adults. Both factors are potentially modifiable with preventive strategies (AU)

[Association between hours of television watched, physical activity, sleep and excess weight among young adults]. / Asociación entre horas de televisión, actividad física, horas de sueño y exceso de peso en población adulta joven.

OBJECTIVE: To explore the association between excess weight or body mass index (BMI) and the time spent watching television, self-reported physical activity and sleep duration in a young adult population. METHODS: We analyzed cross-sectional baseline data of 1,135 participants (17-35 years old) from the project Dieta, salud y antropometría en población universitaria (Diet, Health and Anthrompmetric Variables in Univeristy Students). Information about time spent watching television, sleep duration, self-reported physical activity and self-reported height and weight was provided by a baseline questionnaire. BMI was calculated as kg/m(2) and excess of weight was defined as ≥25. We used multiple logistic regression to explore the association between excess weight (no/yes) and independent variables, and multiple linear regression for BMI. RESULTS: The prevalence of excess weight was 13.7% (11.2% were overweight and 2.5% were obese). A significant positive association was found between excess weight and a greater amount of time spent watching television. Participants who reported watching television >2h a day had a higher risk of excess weight than those who watched television ≤1h a day (OR=2.13; 95%CI: 1.37-3.36; p-trend: 0.002). A lower level of physical activity was associated with an increased risk of excess weight, although the association was statistically significant only in multiple linear regression (p=0.037). No association was observed with sleep duration. CONCLUSION: A greater number of hours spent watching television and lower physical activity were significantly associated with a higher BMI in young adults. Both factors are potentially modifiable with preventive strategies.

[Validation of self-reported weight and height university population and factors associated with differences between self reported and measured antropometrics]. / Validez del peso y talla auto-referido en población universitaria y factores asociados a las discrepancias entre valores declarados y medidos.

INTRODUCTION: Obesity is an important public health problem related to a higher risk of death from chronic degenerative diseases such as diabetes, cardiovascular diseases and several types of cancer. In epidemiological studies of big sample size, only self-reported weight and height can be collected for feasibility reasons and body mass index (BMI) estimates may be questioned. OBJECTIVES: In this study we compare self-reported and measured weight, height and BMI in a mostly young population of university students, and explore factors associated with discrepancies between self-reported and measured data. METHODS: In the period 2006-2012, 628 University students (476 women) from health sciences subject gave consent to participate in this study. Self-reported weight and height were collected by questionnaire and compared with weight and height measured afterward in health exams wearing light clothes and using standardized protocols. The validity of self-reported anthropometric estimates was explored by correlation coefficients and sensitivity, specificity, predictive values and kappa to detect measured overweight/obesity (BMI ≥ 25 kg/m²). Multiple linear regression was used to explore the factors related to the discrepancies between self-reported and measured data. RESULTS: The mean of self-reported weight, height and BMI was 62.5 kg, 167.6 cm and 22.1 kg/m² and the mean of measured data was 62.6 kg, 167.4 cm y 22.2 kg/m² respectively. Correlations between self-reported and measured data were r = 0.97 for weight, 0.96 for height and 0.95 for BMI. The sensitivity to detect overweight (IMC ≥ 25 kg/m²) using self-reported data was 81.0%, the specificity was 98.5%, the predictive value was 90.6% and the kappa index was 0.75. The discrepancy between measured and self-reported weight, height and BMI was associated with a higher age, and a higher sleeping time was also associated to discrepancies in self-reported and measured height. CONCLUSIONS: Despite the self-reported weight and BMI may underestimate the true weight and BMI, and self-reported height overestimate, the validity of self-reported anthropometric measures is adequate to use be used in epidemiological studies among young people with a high educational level.

Introducción: La obesidad es un problema de salud pública importante que se asocia a un mayor riesgo muerte por enfermedades crónico-degenerativas como diabetes, enfermedades cardiovasculares y varios cánceres. En estudios epidemiológicos de amplio tamaño donde a veces solo es posible obtener datos auto-referido de peso y talla, pueden surgir dudas sobre las estimaciones del índice de masa corporal (IMC). Objetivo: En este estudio se comparan datos auto-referido de peso, talla e IMC frente a datos obtenidos por medición directa en población adulta joven, y se analizan los factores asociados a la discrepancia entre datos referidos y medidos. Metodología: Entre 2006-2012 un total de 628 universitarios de ciencias de la salud (476 mujeres) aceptaron cumplimentar un cuestionario con preguntas sobre peso y talla y realizar posteriormente un examen físico con la toma del peso y talla siguiendo protocolos estandarizados en ropa ligera. El peso de la ropa ligera se sustrajo del peso medido en 1 kg para los hombres y 0,9 kg para las mujeres. Se analizó la validez de las estimaciones antropométricas auto-referidas frente a las medidas para peso, talla y obesidad mediante índices de sensibilidad, especificidad, valores predictivos y índice kappa y se usó regresión lineal múltiple para analizar los factores asociados a las discrepancias entre datos referidos y medidos. Resultado: La media del peso, talla e IMC auto-referido fueron 62,5 kg, 167,6 cm y 22,1 kg/m2, y de los medidos, 62,6 kg, 167,4 cm y 22,2 kg/m2 respectivamente. Las correlaciones entre datos declararos y medidos fueron de r = 0,97, 0,96 y 0,95 respectivamente. La sensibilidad para detectar exceso de peso (IMC ≥?25 kg/m2) mediante datos declarados fue del 81,0%, la especificidad del 98,5%, el valor predictivo positivo 90,6% y el índice kappa de 0,75. La discrepancia entre peso, talla e IMC medido y declarado se asoció significativamente con una mayor edad, y para la talla también con un mayor número de horas de sueño. Conclusiones: A pesar de una ligera infraestimación observada para el peso y el IMC y una sobreestimación para la talla auto-referidos, la validez de las medidas auto-referidas es adecuada para usar en estudios epidemiológicos en población joven.

Validez del peso y talla auto-referido en población universitaria y factores asociados a las discrepancias entre valores declarados y medidos / Validation of self-reported weight and height university population and factors associated with differences between self reported and measured antropometrics

Introducción: La obesidad es un problema de salud pública importante que se asocia a un mayor riesgo muerte por enfermedades crónico-degenerativas como diabetes, enfermedades cardiovasculares y varios cánceres. En estudios epidemiológicos de amplio tamaño donde a veces solo es posible obtener datos auto-referido de peso y talla, pueden surgir dudas sobre las estimaciones del índice de masa corporal (IMC). Objetivo: En este estudio se comparan datos auto-referido de peso, talla e IMC frente a datos obtenidos por medición directa en población adulta joven, y se analizan los factores asociados a la discrepancia entre datos referidos y medidos. Metodología: Entre 2006-2012 un total de 628 universitarios de ciencias de la salud (476 mujeres) aceptaron cumplimentar un cuestionario con preguntas sobre peso y talla y realizar posteriormente un examen físico con la toma del peso y talla siguiendo protocolos estandarizados en ropa ligera. El peso de la ropa ligera se sustrajo del peso medido en 1 kg para los hombres y 0,9 kg para las mujeres. Se analizó la validez de las estimaciones antropométricas auto-referidas frente a las medidas para peso, talla y obesidad mediante índices de sensibilidad, especificidad, valores predictivos y índice kappa y se usó regresión lineal múltiple para analizar los factores asociados a las discrepancias entre datos referidos y medidos. Resultado: La media del peso, talla e IMC auto-referido fueron 62,5 kg, 167,6 cm y 22,1 kg/m2, y de los medidos, 62,6 kg, 167,4 cm y 22,2 kg/m2 respectivamente. Las correlaciones entre datos declararos y medidos fueron de r = 0,97, 0,96 y 0,95 respectivamente. La sensibilidad para detectar exceso de peso (IMC > 25 kg/m2) mediante datos declarados fue del 81,0%, la especificidad del 98,5%, el valor predictivo positivo 90,6% y el índice kappa de 0,75. La discrepancia entre peso, talla e IMC medido y declarado se asoció significativamente con una mayor edad, y para la talla también con un mayor número de horas de sueño. Conclusiones: A pesar de una ligera infraestimación observada para el peso y el IMC y una sobreestimación para la talla auto-referidos, la validez de las medidas auto-referidas es adecuada para usar en estudios epidemiológicos en población joven (AU)

Introduction: Obesity is an important public health problem related to a higher risk of death from chronic degenerative diseases such as diabetes, cardiovascular diseases and several types of cancer. In epidemiological studies of big sample size, only self-reported weight and height can be collected for feasibility reasons and body mass index (BMI) estimates may be questioned. Objectives: In this study we compare self-reported and measured weight, height and BMI in a mostly young population of university students, and explore factors associated with discrepancies between self-reported and measured data. Methods: In the period 2006-2012, 628 University students (476 women) from health sciences subject gave consent to participate in this study. Self-reported weight and height were collected by questionnaire and compared with weight and height measured afterward in health exams wearing light clothes and using standardized protocols. The validity of self-reported anthropometric estimates was explored by correlation coefficients and sensitivity, specificity, predictive values and kappa to detect measured overweight/obesity (BMI > 25 kg/m2). Multiple linear regression was used to explore the factors related to the discrepancies between self-reported and measured data. Results: The mean of self-reported weight, height and BMI was 62.5 kg, 167.6 cm and 22.1 kg/m2 and the mean of measured data was 62.6 kg, 167.4 cm y 22.2 kg/m2 respectively. Correlations between self-reported and measured data were r = 0.97 for weight, 0.96 for height and 0.95 for BMI. The sensitivity to detect overweight (IMC > 25 kg/m2) using self-reported data was 81.0%, the specificity was 98.5%, the predictive value was 90.6% and the kappa index was 0.75. The discrepancy between measured and self-reported weight, height and BMI was associated with a higher age, and a higher sleeping time was also associated to discrepancies in self-reported and measured height. Conclusions: Despite the self-reported weight and BMI may underestimate the true weight and BMI, and self-reported height overestimate, the validity of self-reported anthropometric measures is adequate to use be used in epidemiological studies among young people with a high educational level (AU)