Introduction. Social and cultural changes are altering young people's habits. Some surveys measure such behaviors, but are hard to interpret. The objective of this study was to design and validate a homogeneous questionnaire to study habits among adolescents aged 12-14 years. Population and methods. Descriptive and crosssectional study to validate a questionnaire. Items were selected after a bibliographic review and expert assessment. The pre-test was administered to a pilot sample. Reliability was established using Cronbach's alpha coefficient, and construct validity, using a factor analysis. It was administered to a sample of parents of students from 4 secondary schools. Results. Cronbach's coefficient showed values close to 0.7 in 3/4 subscales and an overall value of 0.629, showing accuracy and stability. Factor analysis determined an adequate construct validity, with 4 factors: eating, physical activity, new technologies, and environment. The final questionnaire included 26 items and was administered to 421 participants. Poor habits were observed in 24.8 % and very unhealthy, in 3.4 %. Girls had poorer scores in physical activity (p < 0.001), and boys, in new technologies, although it was not significant. Conclusions. The final instrument was valid, reliable, and easily administered to assess modifiable behaviors in adolescents. The inclusion of technologies and environment helps to adapt the questionnaire to current changes. The greatest deficit was observed in the technology use and physical activity domains; and girls were more sedentary.
Background
The number of overweight children is increasing at an alarming rate. This issue requires effective action plans, as childhood obesity has become a problem in which addressing environmental factors is decisive. Significant differences have also been shown in lifestyle habits that determine overweight based on sex. This study therefore aimed to examine these risk factors according to sex.
Methods
The sample included first‐year high school students from Murcia, Spain. Information was collected through the “Questionnaire on Healthy Habits in Adolescents,” validated for this age range, and the weight, height, and waist circumference of the participants were obtained. Data were analyzed through partial least squares structural equation modeling to determine which modifiable risk factors promoted the appearance of excess weight and in what magnitude.
Results
A total of 421 students participated in the study, and 40.6% of overweight patients were detected according to their body mass index. No differences were found between the sexes and weights. The environment and the use of new technologies that do not involve sitting were significant only in girls (P < 0.05). Conversely, physical activity was significantly higher in boys (P < 0.05). Dietary factors and sedentary activities did not differ according to sex.
Conclusions
The social and school environment, the use of new technologies (for girls), and physical activity (for boys) condition nutritional status. Identifying gender disparities in behaviors that involve health should be a priority for new prevention programs. Targeting young people's health from a gender perspective has considerable potential to reduce overweight problems in adulthood.
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