Dataset Information

Social inclusion level of Spanish and foreign adolescents: Proposal for an evaluation instrument.

ABSTRACT: Social exclusion is one of the most complex and sensitive social problems nowadays. Of all social groups, adolescents are among the most vulnerable to social exclusion, which can interfere with their social development. Consequently, the evaluation of this construct in adolescents is an important matter. The aim of this investigation was to develop the Social Inclusion for Adolescents Scale (SIAS). Firstly, five psychosocial factors were proposed, which potentially contribute to social inclusion: (1) covered needs, (2) self-efficacy, (3) social support, (4) job training, and (5) social integration. From these five factors, a set of items was created and reduced using qualitative evaluations. The final set of items was used in three studies, with a Spanish population (N = 1540) and a foreign population (N = 460), to test the psychometric properties of the scale, its dimensional structure, the measurement invariance between Spanish and foreign people, the reliability of the instrument and the evidence of the validity of its measurements. The results indicate that this scale is psychometrically reliable enough to assess social inclusion in adolescents.

Supplementary information

The online version contains supplementary material available at 10.1007/s12144-020-01201-5.

SUBMITTER: Moyano M

PROVIDER: S-EPMC7673581 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Social inclusion level of Spanish and foreign adolescents: Proposal for an evaluation instrument.

Moyano Manuel M Lobato Roberto M RM Ventsislavova Petya P Trujillo Humberto M HM

Current psychology (New Brunswick, N.J.) 20201118 10

Social exclusion is one of the most complex and sensitive social problems nowadays. Of all social groups, adolescents are among the most vulnerable to social exclusion, which can interfere with their social development. Consequently, the evaluation of this construct in adolescents is an important matter. The aim of this investigation was to develop the Social Inclusion for Adolescents Scale (SIAS). Firstly, five psychosocial factors were proposed, which potentially contribute to social inclusion ...[more]

PMID: 33230381

Similar Datasets

Project description:Road infrastructures represent a key point in the development of smart cities. In any case, the environmental impact of road traffic should be carefully assessed. Acoustic noise is one of the most important issues to be monitored by means of sound level measurements. When a large measurement campaign is not possible, road traffic noise predictive models (RTNMs) can be used. Standard RTNMs present in literature usually require in input several information about the traffic, such as flows of vehicles, percentage of heavy vehicles, average speed, etc. Many times, the lack of information about this large set of inputs is a limitation to the application of predictive models on a large scale. In this paper, a new methodology, easy to be implemented in a sensor concept, based on video processing and object detection tools, is proposed: the Equivalent Acoustic Level Estimator (EAgLE). The input parameters of EAgLE are detected analyzing video images of the area under study. Once the number of vehicles, the typology (light or heavy vehicle), and the speeds are recorded, the sound power level of each vehicle is computed, according to the EU recommended standard model (CNOSSOS-EU), and the Sound Exposure Level (SEL) of each transit is estimated at the receiver. Finally, summing up the contributions of all the vehicles, the continuous equivalent level, Leq, on a given time range can be assessed. A preliminary test of the EAgLE technique is proposed in this paper on two sample measurements performed in proximity of an Italian highway. The results will show excellent performances in terms of agreement with the measured Leq and comparing with other RTNMs. These satisfying results, once confirmed by a larger validation test, will open the way to the development of a dedicated sensor, embedding the EAgLE model, with possible interesting applications in smart cities and road infrastructures monitoring. These sites, in fact, are often equipped (or can be equipped) with a network of monitoring video cameras for safety purposes or for fining/tolling, that, once the model is properly calibrated and validated, can be turned in a large scale network of noise estimators.

Project description:PurposeThis study aimed to investigate the association between social jetlag (SJL) and obesity-related outcomes among adolescents from Valle de Ricote (Region of Murcia, Spain). We explored the relationship between SJL and body mass index (BMI) z-score, waist circumference, and body fat percentage, as well as the odds of having excess weight, obesity, and abdominal obesity in a sample of Spanish adolescents.MethodsA cross-sectional study was conducted using data from the Eating Healthy and Daily Life Activities (EHDLA) project, which included 847 Spanish adolescents aged 12-17 years. SJL was assessed based on the differences in sleep patterns between weekdays and weekends. Obesity-related indicators such as BMI z-score, waist circumference, body fat percentage, excess weight, obesity, and abdominal obesity were measured. Generalized linear models with a Gaussian or binomial distribution were used to analyze the associations between SJL and obesity-related outcomes, adjusting for potential confounders.ResultsThe analysis revealed significant associations between SJL and BMI z-score (unstandardized beta coefficient [B] = 0.15, 95% CI: 0.05 to 0.25, p = 0.003), waist circumference (B = 1.03, 95% CI: 0.39 to 1.67, p = 0.002), and body fat percentage (B = 0.83, 95% CI: 0.31 to 1.43, p = 0.008). Additionally, the odds ratios (ORs) for excess weight (OR = 1.35, 95% CI: 1.16 to 1.57; p < 0.001), obesity (OR = 1.59, 95% CI: 1.26 to 2.00; p < 0.001), and abdominal obesity (OR = 1.46, 95% CI: 1.23 to 1.72; p < 0.001) increased significantly with each 60 min increment in SJL.ConclusionsThis study pointed out that the misalignment of sleeping times during weekdays and weekends (SJL) is significantly associated with higher BMI z-scores, waist circumference, body fat percentage, and higher odds of excess weight, obesity, and abdominal obesity among adolescents, being more significant in boys than in girls. These findings highlight the importance of addressing circadian misalignment in the prevention and management of obesity and its related metabolic disorders in this population.

Dataset Information

Social inclusion level of Spanish and foreign adolescents: Proposal for an evaluation instrument.

Supplementary information

Publications

Social inclusion level of Spanish and foreign adolescents: Proposal for an evaluation instrument.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets