| Title |
Changes in physical activity and screen time related to psychological well-being in early adolescence: findings from longitudinal study ELANA
|
|---|---|
| Published in |
BMC Public Health, September 2016
|
| DOI | 10.1186/s12889-016-3606-8 |
| Pubmed ID | |
| Authors |
Viviane S. Straatmann, Aldair J. Oliveira, Mikael Rostila, Claudia S. Lopes |
| Abstract |
Psychological well-being influences health behaviours differently in adolescent boys and girls. We evaluated the role of psychological well-being in early adolescence in the onset and persistence of insufficient physical activity and exceeding recommended screen time, depending on gender. This work derives from a cohort study called Longitudinal Study of Adolescent Nutritional Assessment conducted among elementary school students from two public and four private schools in Rio de Janeiro, Brazil from 2010-2013. We analysed data from 2010 and 2012 from 526 adolescents. Physical activity was evaluated using the International Physical Activity Questionnaire. Those who performed less than 60 min per day of moderate to vigorous physical activity (MVPA) were classified as insufficiently active. Screen time was evaluated based on daily time spent in front of television, video games, and computers. Those who had 4 h or more screen time per day were classified as exceeding the recommended time. Psychological well-being was assessed using the psychological domain of the KIDSCREEN 27 questionnaire. Linear regression was used to estimate coefficient (β) and r (2) values for continuous variables. Relative risks (RR) and confidence intervals (95 % CI) for onset and persistence of insufficient activity and exceeding recommended screen time were estimated with Poisson regression models. Among girls, linear regression analyses showed a significant inverse association between psychological well-being and screen minutes per day at T2 (r (2) = 0.049/β = -3.81 (95 % CI -7.0, -0.9)), as well as an association between poor psychological well-being and onset of exceeding recommended screen time in categorical analyses (RR crude: 1.3; CI 95 % 1.1, 1.7; RR adjusted: 1.3; CI 95 % 1.0, 1.6). For boys, an association was found between psychological well-being and onset of insufficient activity 2 years later (RR crude: 1.3; CI 95 % 1.2, 1.4; RR adjusted: 1.2; CI 95 % 1.1, 1.4). Adolescence is crucial for the development of unhealthy behaviours related to psychological well-being status in the context of a middle-income country. Gender differences are important because poor psychological well-being seems to affect sedentary behaviour in girls more than in boys, and predicts insufficient activity among boys. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 203 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Unknown | 202 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 37 | 18% |
| Student > Master | 29 | 14% |
| Student > Ph. D. Student | 19 | 9% |
| Student > Doctoral Student | 17 | 8% |
| Lecturer | 9 | 4% |
| Other | 31 | 15% |
| Unknown | 61 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 29 | 14% |
| Sports and Recreations | 22 | 11% |
| Social Sciences | 20 | 10% |
| Medicine and Dentistry | 17 | 8% |
| Nursing and Health Professions | 12 | 6% |
| Other | 31 | 15% |
| Unknown | 72 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 September 2016.
All research outputs
#13,751,237
of 23,313,051 outputs
Outputs from BMC Public Health
#9,767
of 15,200 outputs
Outputs of similar age
#170,852
of 322,505 outputs
Outputs of similar age from BMC Public Health
#220
of 338 outputs
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