Cited by 50Physical Activity and HealthObesity, Physical Activity, DietImpact of Technology on Adolescents

Changes in physical activity and screen time related to psychological well-being in early adolescence: Findings from longitudinal study ELANA

Open access
Straatmann, Viviane S., Oliveira, Aldair J., Rostila, Mikael, Lopes, Claudia S.·2016·BMC Public Health

Abstract

BACKGROUND: 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. METHODS: 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. RESULTS: 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). CONCLUSION: 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.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1186/s12889-016-3606-8

Cites

57 of 57 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

2 of the 59 references couldn’t be matched to a known paper.

Research works printed but not linked: 3

  1. [5]WHO Global recommendation on physical activity for health 2010 Geneva World Health Organization (WHO) 26180873
  2. [29]Agathão BT. Master dissertation: [Percepção da qualidade de vida relacionada à saúde de adolescentes: Um estudo em escolas públicas e privadas do Rio de Janeiro e Niterói, Rio de Janeiro, 2015]. Social Medicine Institute, State University of Rio de Janeiro; 2015.
  3. [30]Saito MI. Maturaçäo sexual: auto avaliaçäo do adolescente.Pediatria (Säo Paulo). 1984;6(3):111–5.

Cited by

Sorted by citations

Authors
Straatmann, V. S., Oliveira, A. J., Rostila, M., & Lopes, C. S.
Affiliations
  • Universidade do Estado do Rio de Janeiro (BR)
  • Universidade Federal Rural do Rio de Janeiro (BR)
  • Centre for Health Equity Studies (SE)
Corresponding author
Straatmann, Viviane S.
Venue
BMC Public Health
Published
2016-09-15
Volume
16
Issue
1
Pages
977-977
ISSN
1471-2458 (ISSN-L)
OpenAlex
W2518866431
Cited by
50
References
59
Citations by year
2026: 4 · 2025: 3 · 2024: 5 · 2023: 2 · 2022: 4 · 2021: 14 · 2020: 7 · 2019: 3 · 2018: 3 · 2017: 4
FWCI
2.68
Type
journal article
Language
en
Open access
Locations
  • BMC Public Health (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro
  • CNPq
  • International Cooperation Program between a Brazilian federal government agency research and the Swedish Foundation for International Cooperation in Research and Higher Education (CAPES/STINT ) (012/13)
Topics
  • Health Sciences › Medicine › Physiology › Physical Activity and Health
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
Keywords
psychological well-being, physical activity, screen time, early adolescence, sedentary behavior, physical inactivity, gender differences, KIDSCREEN-27, middle-income countries
MeSH terms
Adolescent, Brazil, Computers, Female, Humans, Longitudinal Studies, Male, Surveys and Questionnaires, Risk, Schools, Sex Factors, Students, Television, Time Factors, Health Behavior, Exercise, Linear Models, Video Games, Sedentary Behavior

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review