Clusters of obesogenic behaviors and metabolic risk according to somatic maturity status among adolescents

Magalhães, Kleberton C. S.; Matias, Thiago Sousa; Araújo, Raphael H. O.; Werneck, André O.; Ferrari, Gérson; Luz, Leonardo G. O.; Fernandes, Rômulo Araújo; Barbosa, Domingos Sávio; Ronque, Ênio Ricardo Vaz; Cyrino, Edílson Serpeloni; Silva, Danilo

doi:10.1002/ajhb.23778

Cited by 2 publications

(7 citation statements)

References 29 publications

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“…To determine the number of meaningful clusters into which to assign participants most studies combined the Ward and k-means methods [51, 64-67, 69, 71, 77, 78, 86, 88], while one study used a combination of hierarchical method and k-means cluster analysis [63], one applied the Ward method exclusively [61], and two used a k-means non-hierarchical method [52,74]. Latent class analysis [42,44,45,56,83,87,90,91], latent profile analysis [48], K-means [73,75] and k-medians [59,60], principal component [70,85], and two-step [53,57,58,81,92] cluster analyses were also used to identify subgroups of participants with similar patterns. In addition, some studies used the observedover-expected ratio (O/E) [25,50,54,68,79,80,82,84] or other descriptive analyses [19,43,46,47,49,55,62,72,76,89] to determine the prevalence of health-related behaviour patterns observed.…”

Section: Cluster Analysis Methodsmentioning

confidence: 99%

“…Characteristics of the 53 included studies are summarised in Additional file 2. Studies were conducted across eighteen countries; the majority were from the US (n = 9) [19,[42][43][44][45][46][47][48][49], Brazil (n = 9) [50][51][52][53][54][55][56][57][58] and Australia (n = 5) [25,[59][60][61][62], and seven provided data from more than one country [63][64][65][66][67][68][69]. Studies were published between 2007 [46] and 2022 [57,58], with the majority (87%) published within the last decade.…”

Section: Study Characteristicsmentioning

confidence: 99%

“…The most prevalent dietary outcomes used were daily [25, 42, 45, 51, 59, 60, 64, 68, 78-80, 82, 83, 87, 90, 91] and weekly [50, 51, 56-58, 65, 67, 69, 73, 74, 78] FV consumption, diet quality index [19,43,44,63,66,71,72,77,88], meeting dietary recommendations (i.e., FV, sugar-sweetened beverages (SSB), fat, energy dense food/ drink, discretionary food, having breakfast, milk/yogurt intake, and total dietary fat and non-milk extrinsic sugar) [46,47,49,61,62,76,81,84], daily [45,64,86,90] and weekly [67,69,87] intake of SSB, daily [42,51,83,90] and weekly [25, 51, 56-58, 65, 74, 81] intake of sweetened soft drinks, daily [59,93] and weekly [58] energy dense food/drink consumption, daily [42,45,86,90] and weekly [25,56,57,73,74,81] intake of snacks, daily [42,…”

Section: Overview Of Measuresmentioning

confidence: 99%

“…Twenty-two studies stratified clusters of health behaviours by sex [25, 42, 44, 46, 50-52, 55, 56, 63, 64, 66- [19,45,57,59,60,63,69,71,72,89], three by region [64,65,82], and one study by maturity status [58]. Overall, more females were found in the unhealthy clusters [25, 44, 46, 53-55, 57, 59, 60, 68, 71, 77, 80, 83, 89, 92] or mixed clusters comprising a combination of high diet quality, low PA, and/or high SB [44, 45, 48, 51-53, 58, 63, 66, 74, 77, 81, 85, 88].…”

Section: Prevalence Of Clusters Of Health Behavioursmentioning

confidence: 99%

“…Overall, more females were found in the unhealthy clusters [25, 44, 46, 53-55, 57, 59, 60, 68, 71, 77, 80, 83, 89, 92] or mixed clusters comprising a combination of high diet quality, low PA, and/or high SB [44, 45, 48, 51-53, 58, 63, 66, 74, 77, 81, 85, 88]. Males tended to be found in healthy [45,58,59,62,71,77] or mixed clusters characterised by a combinations of high PA, high SB, and/or low diet quality [48,51,53,56,63,66,69,70,74,77,81,86,88,92]. With regard to differences in age groups, most studies found that younger individuals (i.e.…”

Section: Prevalence Of Clusters Of Health Behavioursmentioning

confidence: 99%

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Clustering of diet, physical activity and sedentary behaviour and related physical and mental health outcomes: a systematic review

Alosaimi,

Sherar,

Griffiths

et al. 2023

BMC Public Health

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Background Physical activity (PA), sedentary behaviour (SB) and diet play an important role in the physical and mental health of young people. Understanding how these behaviours cluster, and the impact of clusters on health is important for the development of public health interventions. This review examines the prevalence of clusters of PA, sedentary time, and dietary behaviours, and how clusters relate to physical and mental health indicators among children, adolescents and young adults. Methods Electronic (PubMed, Web of Science and Scopus) and manual searches were conducted for articles that were (i) observational studies including children, adolescents and/or young adults aged 5–24 years, (ii) examined the 'patterning', ‘clustering’, or ‘co-existence’ of each of PA, dietary behaviour and SB, and (iii) published in English up to and including July 2022. In addition to information on clustering, data on physical and mental health outcomes were extracted where reported. Included studies were assessed using the Cochrane risk of bias for observational studies. A narrative synthesis was conducted due to high heterogeneity. This review was registered with PROSPERO (CRD42021230976). Results Forty-nine cross-sectional studies and four prospective cohort studies from eighteen countries reporting data from 778,415 individual participants were included. A broad range of clusters (n = 172) were found (healthy, unhealthy, and mixed). Mixed clusters were common (n = 98), and clusters of high diet quality, low PA and high SB were more prevalent in girls, while mixed clusters of high PA, high SB and low diet quality were more prevalent in boys. Unhealthy clusters comprising low moderate to vigorous PA, low consumption of fruits and vegetables, and high screen time were prevalent, particularly in those from lower socioeconomic status families. Compared to those with healthy behavioural clusters, those with unhealthy and mixed clusters had a higher adiposity, higher risk of cardiovascular disease, poorer mental health scores, and lower cardiorespiratory fitness. Conclusions PA, SB and diet cluster in healthy, unhealthy and mixed patterns in young people that differ across sociodemographic characteristics. Unhealthy clusters are associated with poorer health outcomes. Intervention strategies targeting un-clustering multiple unhealthy behaviours should be developed and evaluated for their impact on health outcomes.

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