Clustering of behavioural risk factors and their association with subjective health

Galán, Iñaki; Rodríguez‐Artalejo, Fernando; Tobías, Aurelio; Díez‐Gañán, Lucía; Gandarillas, Ana; Zorrilla, Belén

doi:10.1157/13080135

Cited by 38 publications

(70 citation statements)

References 48 publications

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“…The expected prevalence of each combination is given by multiplying the individual probability of occurrence of each behavior by its occurrence. When the result observed-to-expected exceeds one, the behaviors are clustered 5,8,10,12 .…”

Section: E T H O D Smentioning

confidence: 94%

“…Clustering occurs when the Observed combination exceeds the Expected prevalence of the combination 5,8,10,12 . The expected prevalence of each combination is given by multiplying the individual probability of occurrence of each behavior by its occurrence.…”

Section: E T H O D Smentioning

confidence: 99%

“…Health-risk behaviors tend to cluster, that is, there is a causal network between exposure to one behavior and the presence of another [3][4][5][6][7][8][9][10][11][12][13][14] . Moreover, evidence shows that the strategies that focus on actions involving multiple behaviors have a greater impact than interventions on isolated behaviors 11,[15][16][17][18] .…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, evidence shows that the strategies that focus on actions involving multiple behaviors have a greater impact than interventions on isolated behaviors 11,[15][16][17][18] . Nevertheless, few studies have investigated the clustering of behaviors and associated factors, especially in the youth [5][6][7][8][9][10]12,13 . Most studies involved adults and elderly from high-income countries [5][6][7][8][9][10]12,13 .…”

Section: Introductionmentioning

confidence: 99%

“…Nevertheless, few studies have investigated the clustering of behaviors and associated factors, especially in the youth [5][6][7][8][9][10]12,13 . Most studies involved adults and elderly from high-income countries [5][6][7][8][9][10]12,13 . The transition period between adolescence and adulthood is characterized by significant social relationship and environmental changes that may negatively impact health actions, attitudes, and behaviors, especially in the young who enter university 14,[19][20][21][22] .…”

Section: Introductionmentioning

confidence: 99%

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Clustering of physical inactivity and low fruit and vegetables intake and associated factors in young adults

et al. 2014

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A B S T R A C T ObjectiveTo investigate the cluster of physical inactivity and low fruit and vegetable intake and the associated factors in university students. MethodsThis cross-sectional study included a representative sample (n=717) of Universidade Federal Rural de Pernambuco students. Low fruit and vegetable intake was defined as an intake of less than five servings a day and physical inactivity was defined as exercising less than 150 minutes a week. The independent variables were gender, age, socioeconomic status, school year, shift, and study time. Clustering was determined by comparing the observed prevalence with the expected prevalence for all possible risk-factor combinations. Logistic regression analysis, performed by the software Statistical Package for the Social Sciences 17.0 with a significance level of 5% (p<0.05), considered the presence of both risk behaviors adjusted to the independent variables. ResultsThe prevalence of low fruit and vegetable intake was 81.7% (CI95%=78.1-84.3) and of physical inactivity was 65.8% (CI95%=62.2-69.4). Most students (58.6%, CI95%=55.3-62.2) were exposed to both risk factors simultaneously, while 11.0% (CI95%=8.9-13.5) were exposed to neither. Full-time students have a risk 1.45

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Section: E T H O D Smentioning

confidence: 94%

Section: E T H O D Smentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Clustering of physical inactivity and low fruit and vegetables intake and associated factors in young adults

et al. 2014

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Health Perception According to the Lifestyle of University Students

et al. 2018

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University students are characterized by having inadequate eating habits, along with an unhealthy lifestyle, which, among other factors, can affect the perception they have of their state of health. The aim of the study was to evaluate the health perception of a group of university students according to lifestyle. A cross-sectional observational study was carried out on 214 university students from different universities and branches of knowledge. Anthropometric data were collected. Three questionnaires were administered: PREDIMED (Mediterranean Diet (MD) adherence), SF-36 (perception of health state) and GPAQ (physical activity (PA)). The differences between variables were analyzed using Student-t or Mann-Whitney U, Kruskal-Wallis and Pearson Chi-Square tests. Statistical significance was reached at p < 0.05. Most students were found to be normal weighted. The subjects presented an moderate MD adherence, this being better in Health Sciences students. 75.7% practiced light PA. The health perception is worse for most of the subscales analyzed than that of the reference population (except physical-function, physical-role, and emotional-role). There is an association between PA and health perception: students with intense PA have less body pain and better physical function; the less active, the less vitality. The more physically active subjects the greater MD adherence. Lifestyle and eating habits of health sciences students are healthier than that of students from other branches of knowledge. The physically active subjects have a better perception of quality of life-related to health and greater MD adherence.

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Recomendaciones en Prevención Del Riesgo Vascular

Ruiz¹

2012

Manual De Comorbilidad Cardiovascular Y Síndrome Metabólico en La Psoriasis

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Clustering of behavioural risk factors and their association with subjective health

Abstract: Behavior-related risk factors tend to aggregate, and this accumulation is higher among men, younger age groups, and subjects with a low educational level. A greater level of clustering is associated with a higher frequency of suboptimal perceived health.

Cited by 38 publications

References 48 publications

Clustering of physical inactivity and low fruit and vegetables intake and associated factors in young adults

Clustering of physical inactivity and low fruit and vegetables intake and associated factors in young adults

Health Perception According to the Lifestyle of University Students

Recomendaciones en Prevención Del Riesgo Vascular

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