Association Between Physical Activity Practice and Clustering of Health Risk Behaviors in Adolescents

Silva, Michael Pereira da; Pacífico, Ana Beatriz; Piola, Thiago Silva; Fantinelli, Edmar Roberto; Camargo, Édina Maria de; Legnani, Rosimeide Francisco Santos; Campos, Wagner de

doi:10.1590/1984-0462/2020/38/2018247

Cited by 5 publications

(2 citation statements)

References 38 publications

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“…In the studied urban population, low intake of fruits and vegetables was positively associated with physical inactivity. The same findings were noticed in Brazil [ 17 ], Bangladesh [ 6 ], and among males in the global study [ 5 ], were those who were physically active had more consumption of fruits and vegetables. Moreover, in Algerian urban areas, there was a significant positive association between high SB and smoking.…”

Section: Discussionsupporting

confidence: 78%

“…In the UK, 73.6% of the adolescents had insufficient fruits and vegetables consumption [ 16 ]. Furthermore, 95.6% presented low fruit consumption and 79.9% presented low consumption of vegetables in Brazil [ 17 ]. The prevalence of physical inactivity in Nepal (84.77%) was similar to the one in Algeria, while insufficient consumption of fruits and vegetables was the most prevalent risk factor (95.33%) [ 7 ].…”

Section: Discussionmentioning

confidence: 99%

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Clustering of Lifestyle Risk Factors among Algerian Adolescents: Comparison between Urban and Rural Areas: GSHS Data

Kerkadi

Mannai

Saad

et al. 2021

IJERPH

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Objective: Compare the clustering of LBRs between urban and rural Algerian adolescents. Design: Data of this cross-sectional study was derived from the Global School-based Health Survey (GSHS). A self-administered, anonymous questionnaire was filled out by 4532 adolescents (11–16 years), which addressed LBRs of NCDs. Life style behavioral risk factors (LBRs) clustering was measured by the ratios of observed (O) and expected (E) prevalence of one or more simultaneously occurring LBRs for urban and rural areas separately. Multivariate logistic regression was performed to examine the association of LBRs as dependent variable with demographic variables (location, age, gender). Results: The most common LBR was physical inactivity (84.6%: 50.9% for urban and 49.1% for rural). Adolescents in urban areas had a higher prevalence of two (56.8% vs. 43.2%) and three and more (61.3% vs. 38.7%) LBRs than in rural areas. In urban areas, a significant positive association was found between (low fruit and vegetable consumption + physical inactivity) [2.06 (1.61–2.64)] and (high SB + smoking) [2.10 (1.54–2.76)], while (physical inactivity + high SB) [0.70 (0.54–0.91)] showed a significant negative association. In rural areas, (high SB + overweight/obesity) [1.49 (1.09–2.04)] had a significant positive association. While, (low fruit and vegetable consumption + high SB) [0.75 (0.60–0.94)], (physical inactivity + high SB) [0.65 (0.49–0.86)], and (physical inactivity + smoking) [0.70 (0.49–0.99)] had a negative association. Conclusions: Several socio-demographic factors have been identified to play a role in LBRs clustering among Algerian adolescents. Results of the study suggest the development of intervention aiming to tackle different LBRs rather than focusing on a single LBR.

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Section: Discussionsupporting

confidence: 78%

Section: Discussionmentioning

confidence: 99%

Clustering of Lifestyle Risk Factors among Algerian Adolescents: Comparison between Urban and Rural Areas: GSHS Data

Kerkadi

Mannai

Saad

et al. 2021

IJERPH

View full text Add to dashboard Cite

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Prevalence of overweight and obesity among Brazilian adolescents over time: a systematic review and meta-analysis

Sbaraini

Ritter

Schuh

et al. 2021

Public Health Nutr.

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Objective: To estimate the burden of weight excess in Brazilian adolescents. Design: Systematic review with meta-analysis. Setting: We searched the literature in four databases (MEDLINE/PubMed, EMBASE, SciELO and LILACS). Studies were included if they had cross-sectional or cohort design and enrolled Brazilian adolescents. Studies based on self-reported measures were excluded. Random effect models were used to calculate prevalence estimate and its 95% confidence interval (95%CI). Participants: Brazilian adolescents (10 to 19 years old). Results: One hundred and fifty-one studies were included. Trend analyses showed a significant increase in the prevalence of excess weight in the last decades: 8.2% (95%CI:7.7-8.7) until year 2000, 18.9 (95%CI:14.7-23.2) from 2000 to 2009, and 25.1% (95%CI:23.4-26.8) in 2010 and after. A similar temporal pattern was observed in the prevalence of overweight and obesity separately. In sensitivity analyses, lower prevalence of excess weight was found in older adolescents and those defined using IOTF cutoff points. The Southeast and South regions had the highest prevalence of excess weight, overweight and obesity. No significant difference in prevalence by sex was found, except for studies before the year 2000. Conclusions: The prevalence of overweight and obesity in Brazilian adolescents is high and continues to rise. Public policies on an individual level and targeting modifications in the obesogenic environment are necessary.

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Relationship between chronotype and mental behavioural health among adolescents: a cross-sectional study based on the social ecological system

Zhang

Jin

et al. 2023

BMC Psychiatry

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Background Health risk behaviors (HRBs) is a kind of phenomenon behavior that often occurs in adolescence, and also often appears in clusters. Previous studies suggested an association between social ecological risk factors (SERFs) and HRBs. This study explored 1) whether chronotype moderates the risk of HRBs associated with SERFs and 2) whether mental health is a mediator in this relationship. Methods Adolescents were recruited from 39 junior or senior schools (three cities, 13 schools per city) using a multistage cluster sampling method conducted between October, 2020 and June, 2021. The Social Ecological System, Morningness–Eveningness Questionnaire, Brief Instrument on Psychological Health Youths, and Youth Risk Behavior Surveillance questionnaires were used to measure the SERFs, chronotype, mental health and HRBs. Latent category analysis was used to explore the clustering mode of HRBs. The primary exposure was SERFs, and the primary outcome was HRBs; chronotype was a moderator, and mental health was a mediator. The multivariable logistic regression model was used to determine the relationship between SERFs and chronotype and mental behavioral health status. Mediation moderate analysis using the PROCESS method was used to explore the relationship between these variables. Sensitivity analysis was conducted to evaluate the robustness of the model. Results In total, 17,800 individuals were initially enrolled. After excluding 947 individuals with invalid questionnaires, 16,853 participants were finally included in the analysis. The mean age of participants was 15.33 ± 1.08 years. After adjusting for covariates, multivariable logistic regression found that high levels of SERFs (odds ratio [OR] = 10.10, 95% confidence interval [CI]: 8.88–11.43, P < 0.01), intermediate chronotype (OR = 5.24, 95% CI: 4.57–6.01, P < 0.01), and eveningness (OR = 1.83, 95% CI: 1.64–2.05, P < 0.01) were associated with higher HRBs frequency. This study also assessed the interaction between chronotype, SERFs and HRBs (OR = 27.84, 95% CI: 22.03–35.19, P < 0.01) and mental health (OR = 18.46, 95% CI: 13.16–25.88, P < 0.01). The moderated mediation analyses examined the relationship between chronotype, SERFs, mental health and HRBs. Conclusions SERFs may be important variables in measuring the effect of the adolescent psychosocial environment on HRBs; this effect is mediated by mental health and moderated by chronotype.

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Association Between Physical Activity Practice and Clustering of Health Risk Behaviors in Adolescents

Cited by 5 publications

References 38 publications

Clustering of Lifestyle Risk Factors among Algerian Adolescents: Comparison between Urban and Rural Areas: GSHS Data

Clustering of Lifestyle Risk Factors among Algerian Adolescents: Comparison between Urban and Rural Areas: GSHS Data

Prevalence of overweight and obesity among Brazilian adolescents over time: a systematic review and meta-analysis

Relationship between chronotype and mental behavioural health among adolescents: a cross-sectional study based on the social ecological system

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