Effects of clustering of multiple lifestyle-related behaviors on blood pressure in adolescents from two observational studies

Moraes, Augusto César Ferreira de; Fernández-Alvira, Juan Miguel; Rendo-Urteaga, Tara; Julián-Almárcegui, Cristina; Béghin, Laurent; Kafatos, Anthony; Molnár, Denés; Henauw, Stefaan De; Μanios, Yannis; Widhalm, Kurt; Pedrero‐Chamizo, Raquel; Galfo, Myriam; Gottrand, Frédéric; Carvalho, Heráclito Barbosa; Moreno, Luís A.

doi:10.1016/j.ypmed.2015.11.019

Cited by 8 publications

(15 citation statements)

References 36 publications

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“…Sleep time was estimated through habitual sleep duration by questions: “ During weekdays how many hours (or minutes) do you usually sleep?” and “During weekend days how many hours (or minutes) do you usually sleep?” A subsample of 183 adolescents (13–18 years old) answered the questionnaire twice, one week apart to evaluate the reliability and reproducibility of these questions. Excellent agreement showed by the Cohen’s weighted kappa of 0.81 during weekdays and 0.96 during weekend days 32,33 . In the final HELENA study sample this subsample did not participate, but also did not differ in age, ethnicity or socioeconomic status.…”

Section: Independent Variablesmentioning

confidence: 82%

Skipping breakfast is associated with adiposity markers especially when sleep time is adequate in adolescents

Forkert

Moraes

Carvalho

et al. 2019

Sci Rep

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Adolescence is a critical stage of development and has an important influence on energy balance-related behaviours (EBRBs). When adolescents are associated with obesity it can lead to increased cardiometabolic risk. Here we assess if EBRBs adopted by adolescents included in a subsample are associated with markers of total and abdominal adiposity in a multicentre European study, Healthy Lifestyle in Europe by Nutrition in Adolescence (HELENA-CSS) and a Brazilian study, Brazilian Cardiovascular Adolescent Health (BRACAH study), and whether sleep duration influence the association between skipping breakfast, physical activity and sedentary behaviours, with total and abdominal obesity (AO). Multilevel linear regression models using fixed and random intercepts were used to analyse the association between markers of obesity and EBRBs. Skipping breakfast was the prevalent behaviour in association with obesity among European and Brazilian boys besides European girls, even after stratification by sleep time. Moreover, European boys who slept properly and skipped breakfast had an increased waist circumference (WC), while body mass index (BMI) increased in Brazilian boys. Among Brazilian boys less sleep was protective for total obesity (β = −0.93 kg/m 2 ; 95% CI: −1.80; −0.07). European girls when they were more sedentary, showed an increase in WC, especially for those who reported they slept adequately. Skipping breakfast was associated with total and AO in adolescents independent of sleep duration.

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Section: Independent Variablesmentioning

confidence: 82%

Skipping breakfast is associated with adiposity markers especially when sleep time is adequate in adolescents

Forkert

Moraes

Carvalho

et al. 2019

Sci Rep

Self Cite

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“…A potential confounder was retained in the multivariate model when the significance level in the unadjusted analysis was P ≤ 0.20 or any change of 10% in the variance estimation. The exception was city; the variable was retained in all adjusted models based on the theoretical assumption of the influence in the PA levels . In the multivariate analysis, potential confounders were allocated according to the following sequence: Model 0: city; Model 1: Model 0 plus school; Model 2: Model 1 plus sex and age (Table ).…”

Section: Methodsmentioning

confidence: 99%

Reliability and Validity of a Questionnaire for Physical Activity Assessment in South American Children and Adolescents: The SAYCARE Study

Nascimento-Ferreira

Moraes

Toazza-Oliveira

et al. 2018

Obesity

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Objective: The objective of this article is to test the reliability and validity of the new and innovative physical activity (PA) questionnaire. Methods: Subsamples from the South American Youth/Child Cardiovascular and Environment Study (SAYCARE) study were included to examine its reliability (children: n 5 161; adolescents: n 5 177) and validity (children: n 5 82; adolescents: n 5 60). The questionnaire consists of three dimensions of PA (leisure, active commuting, and school) performed during the last week. To assess its validity, the subjects wore accelerometers for at least 3 days and 8 h/d (at least one weekend day). The reliability was analyzed by correlation coefficients. In addition, Bland-Altman analysis and a multilevel regression were applied to estimate the measurement bias, limits of agreement, and influence of contextual variables. Results: In children, the questionnaire showed consistent reliability (q 5 0.56) and moderate validity (q 5 0.46), and the contextual variable variance explained 43.0% with 222.9 min/d bias. In adolescents, the reliability was higher (q 5 0.76) and the validity was almost excellent (q 5 0.88), with 66.7% of the variance explained by city level with 16.0 min/d PA bias.

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“…The studies were developed in 29 different countries, the majority were carried out in USA (n = 6), Brazil (n = 6), and Australia (n = 4), and five [6,11,34,35,50] provided data from more than one country. Regarding country income, 35 studies [11,[23][24][25][26][27]29,30,[32][33][34][35][36][37][38]40,[43][44][45][47][48][49][50][51][52][53][54][55][56][57][58][59][60][61] were developed in high-income countries, followed by six [31,39,41,42,46,62] in upper middle-income countries, and one [6] involved data on countries with more than one income. The age group ranged from two [50,63] to nineteen…”

Section: Characteristics Of Sources Of Evidencementioning

confidence: 99%

“…The age group ranged from two [50,63] to nineteen [13,42] years. Most studies exclusively investigated adolescents (n = 23) [23][24][25][26]28,31,32,34,35,37,[39][40][41][42][45][46][47][48]55,57,59,60,62], nine [6,29,30,33,38,43,49,51,54] both children and adolescents, and seven (n = 7) [11,44,50,52,53,58,61] only children. In three studies [27,36,56], the sample was composed of children/adolescents but did not report the age group.…”

Section: Characteristics Of Sources Of Evidencementioning

confidence: 99%

Clustering of Physical Activity, Diet and Sedentary Behavior among Youth from Low-, Middle-, and High-Income Countries: A Scoping Review

Mello

Lopes

Minatto

et al. 2021

IJERPH

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Background: The interaction between physical activity (PA), diet, and sedentary behavior (SB) plays an important role on health-related outcomes. This scoping review (Prospero CRD42018094826) aims to identify and appraise clusters of PA, diet, and SB among youth (0–19 years) according to country income. Methods: Five databases were searched. Fifty-seven articles met the inclusion criteria. Results: Fifty-five cluster types were identified, with greater variety in high-income than lower income countries. The most prevalent profiles were “High SB and consumption of sugar, salt, and beverages (SSB)” (n = 17) and “High PA” (n = 13–5), both of which presented in all income countries. The healthiest profile, “High PA and fruit and vegetables (F&V); Low SB and SSB” (n = 12), was present in upper-middle and high-income countries, while the unhealthiest “Low PA and F&V; High SB and SSB” (n = 6) was present only in high-income countries. Conclusions: High SB and unhealthy diet (SSB) were more prevalent in clusters, mainly in high-income countries. The results support the need for multi-component actions targeting more than one behavior at the same time.

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Effects of clustering of multiple lifestyle-related behaviors on blood pressure in adolescents from two observational studies

Cited by 8 publications

References 36 publications

Skipping breakfast is associated with adiposity markers especially when sleep time is adequate in adolescents

Skipping breakfast is associated with adiposity markers especially when sleep time is adequate in adolescents

Reliability and Validity of a Questionnaire for Physical Activity Assessment in South American Children and Adolescents: The SAYCARE Study

Clustering of Physical Activity, Diet and Sedentary Behavior among Youth from Low-, Middle-, and High-Income Countries: A Scoping Review

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