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1.
Eur J Investig Health Psychol Educ ; 14(5): 1140-1152, 2024 Apr 24.
Article in English | MEDLINE | ID: mdl-38785573

ABSTRACT

The Mediterranean diet is considered a healthy eating pattern. It has been shown to improve people's quality of life. When a person suffers injuries, their quality of life suffers. This research aims to accomplish the following: (a) to study the differences in the effect of the health-related quality of life on injuries according to the degree of adherence to the Mediterranean diet, (b) to analyse the existing differences in the variables that make up the health-related quality of life according to the degree of adherence to the Mediterranean diet, and (c) to analyse the degree of adherence to the Mediterranean diet according to whether the participants have suffered any injury. The study was descriptive, cross-sectional, and exploratory in a sample of 556 physical education students. The PREDIMED questionnaire, the SF-36 questionnaire, and a self-administered questionnaire were used. The results showed that high adherence to the Mediterranean diet was associated with higher quality of life and lower injury rates. It was also observed that high adherence to the Mediterranean diet improved the effect of the quality of life on injuries. In conclusion, the Mediterranean diet is beneficial for the quality of life of young university students.

2.
Behav Sci (Basel) ; 14(2)2024 Feb 02.
Article in English | MEDLINE | ID: mdl-38392463

ABSTRACT

Social network use has increased in recent years. Social networks are fast-changing and may cause negative effects such as dependence and addiction. Hence, it was decided to establish two research aims: (1) to identify the social network used by university students and their use levels according to their sex and (2) to analyse how age, body mass index, physical activity, emotional intelligence and social network type affect addiction to social networks according to young people's sex. A cross-sectional study was designed involving Spanish university students from Education Degrees. The mean age of the participants was 20.84 years (±2.90). Females made up 69.8% of the sample and males 30.2%. An online questionnaire was administered that included sociodemographic questions, IPAQ-SF and TMMS-24. This study found that all students use WhatsApp and more than 97% have YouTube and Instagram accounts. The linear regression model obtained was as follows: social network addiction = 3.355 + 0.336*emotional attention - 0.263*emotional clarity. There is a positive relationship between social network addiction and emotional attention (r = 0.25; p < 0.001) and negative relationships between social network addiction and emotional clarity (r = -0.16; p = 0.002) and between social network addiction and age (r = -0.17; p = 0.001). University students report lower levels of social network addiction and slightly higher levels of social network addiction among females. In addition, there are significant differences between the average social network addiction scores of university students in terms of their use of Telegram, TikTok and Twitch.

3.
Children (Basel) ; 10(10)2023 Oct 07.
Article in English | MEDLINE | ID: mdl-37892326

ABSTRACT

There is an international social concern about the low levels of physical activity among young people. It is essential to know what factors influence the practice of physical activity in order to design effective proposals for health promotion. The study aims to: (1) classify primary school students according to their levels of out-of-school physical activity, Mediterranean diet, emotional attention, emotional clarity and emotional repair; (2) analyse descriptively and correlationally the adolescents' profiles of out-of-school physical activity, Mediterranean diet and emotional attention, clarity and repair. The study design was cross-sectional and descriptive-correlational. The sample consisted of 293 children aged 10-12 years in Granada (Spain). An ad hoc socio-academic questionnaire, the KIDMED test and the Trait Meta-Mood Scale (TMMS-24) were used for data collection. Four clusters were identified by the Ward's method and participants were classified using the K-means method. Subsequently, cluster classification was validated through the MANOVA test (F (861) = 106.12; p ≤ 0.001; f = 1.95). The strongest correlation was obtained in cluster 1 between emotional clarity and emotional repair (r = 0.56; p ≤ 0.01). In conclusion, the mean values of time spent in out-of-school physical activity, Mediterranean diet, emotional attention, emotional clarity and emotional repair of students are adequate and vary according to sex. There are significant differences among the physical activity levels of all clusters, as well as among the emotional variables of attention, clarity and repair. In addition, the correlations between the variables studied vary in each cluster.

4.
Article in English | MEDLINE | ID: mdl-36767372

ABSTRACT

The study had two aims: (1) To classify the adolescents according to their levels of moderate-vigorous physical activity, screen time and sleep time, and (2) to analyze, in a descriptive and correlational manner, the profiles of moderate-vigorous physical activity, screen time and sleep time of each cluster according to the sex and grade of the adolescents. The study design was cross-sectional, with descriptive and correlational analysis. The sample consisted of 663 adolescents in Compulsory Secondary Education from Soria (Spain). The Four by One-Day Physical Activity Questionnaire was used to measure levels of physical activity, screen time and sleep time. The results showed that the young people had an average of 67.99 ± min/day of moderate-vigorous physical activity, 112.56 min/day of screen time and 548.63 min/day of sleep time. Adolescents were classified into three clusters according to their levels of physical activity, screen time and sleep time (FMANOVA (6,1318) = 314.439; p ≤ 0.001; ß = 1; f = 1.177). In conclusion, only 28.21% of the young people accomplished the recommendations for physical activity practice, screen time and sleep time. Moreover, these results vary according to the sex and grade of the adolescents.


Subject(s)
Exercise , Screen Time , Humans , Adolescent , Cross-Sectional Studies , Cluster Analysis , Sleep
5.
Eur J Investig Health Psychol Educ ; 14(1): 87-102, 2023 Dec 25.
Article in English | MEDLINE | ID: mdl-38248126

ABSTRACT

Student lifestyles change during university. This research aimed to classify university students according to their levels of physical activity, alcohol consumption, adherence to the Mediterranean diet, and anxiety and studied the relationships between the variables using a multigroup equation model according to gender. The sample was composed of 549 participants (M = 23.06; S.D. = 6.22), of whom 409 were women and 140 were men. Validated and adapted instruments such as the Beck Anxiety Inventory, the PREDIMED Questionnaire, and the Alcohol Use Disorder Identification Test were used. The data revealed four clusters through Ward's method and the k-means method. Regarding the exploratory model, differences were found in the effects of the variables according to sex. In conclusion, alcohol consumption was positively associated with the Mediterranean diet, and physical activity was negatively associated with the Mediterranean diet and anxiety.

6.
Article in English | MEDLINE | ID: mdl-36498251

ABSTRACT

It is important to investigate how the different factors of physical activity and screen time influence each population group in order to design effective proposals for health promotion. This study aims to: (1) create an explanatory model to establish the relationships between moderate-vigorous physical activity time, screen time, family support, and peer support of adolescents in the region of Soria (Spain); (2) contrast the explanatory structural model according to the intensity of physical activity. A representative sample of 694 adolescents, aged 12-17 years, from the region of Soria was selected. The Four by One-Day Physical Activity Questionnaire, the Parent Support Scale, and the Peer Support Scale were administered. The data were treated according to a structural equation model to demonstrate the relationships between the study variables. The Chi-square p-values and standardised fit indices (CFI, NFI, IFI, TLI, and RMSEA) were appropriate. Moreover, acceptable parameters were obtained in the general equations. The theoretical model is useful to explain the relationships between moderate-vigorous physical activity, family support, peer support, and screen time. In addition, models that differentiate between moderate and vigorous physical activity independently are also useful. Peer support plays a particular role relative to physical activity time, and family support plays a specific role regarding screen time.


Subject(s)
Family Support , Screen Time , Adolescent , Humans , Exercise , Health Promotion , Spain
7.
Healthcare (Basel) ; 10(10)2022 Oct 06.
Article in English | MEDLINE | ID: mdl-36292402

ABSTRACT

This study had two aims: (1) to identify the levels of physical activity, screen time and sleep time of adolescents according to the sex of the participant and the day of the week; (2) to find out the relationships between physical activity, screen time and sleep time according to the sex of the participant and the day of the week. The study design was non-experimental, descriptive-correlational and cross-sectional. The sample consisted of 694 adolescents in Compulsory Secondary Education from Soria (Spain). Four by One-Day Physical Activity Questionnaires were used to measure levels of physical activity, screen time and sleep time. Levene's test and Student's t-test were used to calculate the difference between the means of the variables. Pearson's test was used to calculate bivariate correlations between variables. Results showed higher levels of screen time in males (136.93 min/day ± 81.548). Screen time, sleep time and moderate−vigorous physical activity are higher during the weekend. Positive relationships were found between screen time and light physical activity (rmales = 0.274; p ≤ 0.01; rfemales = 0.065; p > 0.05). The correlations between moderate−vigorous physical activity and screen time were negative (rmales = −0.282; p ≤ 0.01; rfemales = −0.187; p ≤ 0.05). The relationship between screen time and sleep time was negative in males (r = −0.135; p ≤ 0.05). In conclusion, the levels of physical activity, screen time and sleep time vary according to the sex of the participants and the day of the week.

8.
Article in English | MEDLINE | ID: mdl-36011855

ABSTRACT

Youth obesity has been a pandemic for decades. One of its causes is a low level of physical activity. It is necessary to know the specific situation of adolescents and the factors that influence it in order to be able to act accordingly. The first aim of the current study is to create an explanatory model to establish the relationships between light physical activity time, light physical activity energy expenditure, screen time and social support. The second aim is to propose a theoretical model specifying the relationships between moderate-vigorous physical activity time, moderate-vigorous physical activity energy expenditure, screen time and social support. The study design was non-experimental (ex post facto), descriptive-correlational and cross-sectional. A total of 694 adolescents from the region of Soria (12-17 years) participated in the study. The instruments administered were the Four by One-Day Physical Activity Questionnaire, Parent Support Scale and Peer Support Scale. Two structural equation models were developed to analyse the relationships between the variables that comprised the explanatory models. The results show that social support had a negative influence on screen time in the proposed model in relation to light physical activity (r = -0.210; p ≤ 0.001) and in the proposed one regarding moderate-vigorous physical activity (r = -0.173; p ≤ 0.05). Social support was negatively related to light physical activity time (r = -0.167; p ≤ 0.05). Family support had a greater influence than did peer support. In conclusion, the models for light and moderate-vigorous physical activity are useful to describe the relationships between time, energy expenditure, screen time and social support.


Subject(s)
Exercise , Screen Time , Adolescent , Cross-Sectional Studies , Energy Metabolism , Humans , Risk Factors , Social Support
9.
Article in English | MEDLINE | ID: mdl-35742710

ABSTRACT

Effective physical activity studies are necessary to understand how factors involved in physical activity mediate behaviour. Therefore, more reliable explanatory models can be generated in order to design effective actions to promote physical activity. The study had two aims: (1) to develop an explanatory model to identify and establish the relationships between physical activity, social support and screen time among adolescents; and (2) to contrast the explanatory structural model by means of a multi-group analysis according to sex. The study design was cross-sectional with descriptive and correlational analysis. The research was carried out with a representative sample of adolescents from the province of Soria (mean age 14.06 ± 1.27 years). The instruments used were: Four by One-Day Physical Activity Questionnaire, Parent Support Scale and Peer Support Scale. The results show that social support had a negative relationship with screen time (r = -0.178; p ≤ 0.001); males had a positive relationship between physical activity and screen time (r = 0.118; p ≤ 0.05); and peer support had more influence on social support than parental support. In conclusion, the proposed model was effective in triangulating the relationships between physical activity, social support and screen time in a novel way, while allowing us to discriminate these results according to participants' sex.


Subject(s)
Exercise , Screen Time , Adolescent , Child , Cross-Sectional Studies , Humans , Male , Social Support
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