Health lifestyles during adolescence: clustering of health behaviours and social determinants in Italian adolescents

Velasco, Veronica; Gragnano, Andrea; Ghelfi, M; Lombardia, Gruppo Regionale Hbsc; Vecchio, Luca

doi:10.1093/pubmed/fdab371

Cited by 6 publications

(3 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Intervention studies focused on promotion of healthy dietary habits should be combined with other lifestyle factors, like physical and social activity. Determinants of health, well‐being, and behavior often cluster within adolescents (Sawyer et al, 2012; Velasco et al, 2021). Results of previous studies found an increased effect of interventions focused on healthy diet when it was combined with physical activity, and absence of tobacco and excessive alcohol use (Martinez‐Lacoba et al, 2018).…”

Section: Discussionmentioning

confidence: 99%

The associations of dietary habits with health, well‐being, and behavior in adolescents: A cluster analysis

Geraets

Heinz

2022

Child

View full text Add to dashboard Cite

Introduction Dietary habits may be associated with adolescents' health and behavior. However, previous findings are inconsistent and often unadjusted for sociodemographic confounders. The aim of this study was to investigate (1) whether dietary habits (consumption of fruits, vegetables, sweets, soft drinks, breakfast, and family meals) cluster among adolescents and (2) how these clusters associate with a range of health, well‐being, and behavior outcomes in a large population‐based sample of adolescents. Methods The study included adolescents (n = 7529; n = 3891 [51.7%] girls; mean [standard deviation] age = 14.9[2.1] years) from the 2018 Luxembourg Health Behaviour in School‐aged Children study. We used cluster analysis to define clusters of dietary habits (consumption of fruits, vegetables, sweets, soft drinks, breakfast, and family meals) and logistic regression analyses to assess the cross‐sectional associations of the clusters with health, well‐being and behavior, adjusted for age, gender, family affluence, and migration background. Results Cluster analysis yielded five clusters of dietary habits: (1) healthy, (2) family meal and breakfast skippers, (3) sugar consumption, (4) unbalanced diet, and (5) unhealthy. The healthy cluster was associated with better health and positive mental health and behavior, whereas the less healthy clusters were associated with worse health, mental health problems, and risk behavior. Conclusion Findings suggest that healthy dietary habits associate with positive health and behavior, whereas unhealthy dietary habits associate with health problems and risk behavior during adolescence. More research is needed to investigate the underlying mechanisms. Interventions should include dietary habits as a component of lifestyle modification to improve adolescents' health, well‐being, and behavior.

show abstract

Section: Discussionmentioning

confidence: 99%

The associations of dietary habits with health, well‐being, and behavior in adolescents: A cluster analysis

Geraets

Heinz

2022

Child

View full text Add to dashboard Cite

show abstract

“…Socio-demographic, family and nutrition variables were measured and used in this study. For every variable, indicators were created based on instructions from their original source validation and the international HBSC study protocol or based on classifications from previous studies [ 56 , 57 ].…”

Section: Methodsmentioning

confidence: 99%

Adolescents’ Nutrition: The Role of Health Literacy, Family and Socio-Demographic Variables

Delbosq

Velasco²,

Vercesi³

et al. 2022

IJERPH

View full text Add to dashboard Cite

Adolescent obesity rates are increasing on an epidemic level and food intake is one of the most important causes of this condition. From an ecological perspective, food intake is, in turn, influenced by many factors that need to be considered. This study aims to evaluate the associations between socio-demographic factors (gender, family origin, socio-economic status, parent’s education level), which consist of social stratifiers, health literacy and family context, as independent variables, and food intake (consumption of fruits, vegetables, soft drinks and sweets and breakfast frequency) and outcomes (Body Mass Index category), as dependent variables. Data were retrieved from 2145 students (13 and 15 years old) from the Lombardy region (Italy) who participated in the 2018 edition of Health Behaviour in School-Aged Children (HBSC). Six multiple binary logistic regression models were used in this study. Fruit, vegetable and soft drinks consumption models were related to all three-factor levels. Breakfast consumption frequency was associated with socio-demographic variables. BMI category was associated with socio-demographic and family variables. The results confirmed the existence of social inequalities, the importance of health literacy in predicting healthy behaviours and the relevance of the family context. The study confirms the importance of the ecological approach to understanding food intake and overweight/obesity status in adolescents.

show abstract

“…In our study, the number of clusters was determined by analyzing 2-10 PLOS ONE group models. KAMILA has been applied in recent health studies [35][36][37][38] to stratify individuals into clusters according to the outcomes of interest. 4) Interpretation of cluster profiles.…”

Section: Plos Onementioning

confidence: 99%

COVID-19 patient profiles over four waves in Barcelona metropolitan area: A clustering approach

Fernández,

Perez-Alvarez,

Molist

2024

PLoS ONE

View full text Add to dashboard Cite

Objectives Identifying profiles of hospitalized COVID-19 patients and explore their association with different degrees of severity of COVID-19 outcomes (i.e. in-hospital mortality, ICU assistance, and invasive mechanical ventilation). The findings of this study could inform the development of multiple care intervention strategies to improve patient outcomes. Methods Prospective multicentre cohort study during four different waves of COVID-19 from March 1st, 2020 to August 31st, 2021 in four health consortiums within the southern Barcelona metropolitan region. From a starting point of over 292 demographic characteristics, comorbidities, vital signs, severity scores, and clinical analytics at hospital admission, we used both clinical judgment and supervised statistical methods to reduce to the 36 most informative completed covariates according to the disease outcomes for each wave. Patients were then grouped using an unsupervised semiparametric method (KAMILA). Results were interpreted by clinical and statistician team consensus to identify clinically-meaningful patient profiles. Results The analysis included nw1 = 1657, nw2 = 697, nw3 = 677, and nw4 = 787 hospitalized-COVID-19 patients for each of the four waves. Clustering analysis identified 2 patient profiles for waves 1 and 3, while 3 profiles were determined for waves 2 and 4. Patients allocated in those groups showed a different percentage of disease outcomes (e.g., wave 1: 15.9% (Cluster 1) vs. 31.8% (Cluster 2) for in-hospital mortality rate). The main factors to determine groups were the patient’s age and number of obese patients, number of comorbidities, oxygen support requirement, and various severity scores. The last wave is also influenced by the massive incorporation of COVID-19 vaccines. Conclusion Our study suggests that a single care model at hospital admission may not meet the needs of hospitalized-COVID-19 adults. A clustering approach appears to be appropriate for helping physicians to differentiate patients and, thus, apply multiple care intervention strategies, as another way of responding to new outbreaks of this or future diseases.

show abstract

Health lifestyles during adolescence: clustering of health behaviours and social determinants in Italian adolescents

Cited by 6 publications

References 36 publications

The associations of dietary habits with health, well‐being, and behavior in adolescents: A cluster analysis

The associations of dietary habits with health, well‐being, and behavior in adolescents: A cluster analysis

Adolescents’ Nutrition: The Role of Health Literacy, Family and Socio-Demographic Variables

COVID-19 patient profiles over four waves in Barcelona metropolitan area: A clustering approach

Contact Info

Product

Resources

About