Use of latent class analysis as a method of assessing the physical activity level, sedentary behavior and nutritional habit in the adolescents’ lifestyle: A scoping review

Miranda, Valter Paulo Neves; Coimbra, Danilo Reis; Bastos, Ronaldo Rocha; Júnior, Márcio Vidigal Miranda; Amorim, Paulo

doi:10.1371/journal.pone.0256069

Cited by 18 publications

(29 citation statements)

References 70 publications

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“…The results of the present study demonstrated that the males were inclined to enter the “high exercise-high calorie diet” class (class 6) and “moderate exercise-balanced” class (class 2). The previous results reported that the females were more prone to exhibit low exercise and sedentary behavior, as compared to males ( 18 ), which was consistent with the results of this study. The main reason causing females' physical exercise was usually less active than that of males lied in the gender difference of perception barriers, in which, lack of exercise energy and willpower were listed as the main factors ( 31 ).…”

Section: Discussionsupporting

confidence: 93%

“…Other components of lifestyle, such as sleep habits and health awareness, are also significant variables affecting adolescent obesity, so future research should be analyzed from a multifactorial perspective of adolescent lifestyle behavior. In addition, the vast majority of such surveys were conducted in high-income countries, with a lack of research in middle- and low-income countries ( 18 ). The lifestyle patterns that lead to adolescent obesity are more complex, and are significantly related to factors such as race, culture, and social psychology, and more research support is still needed.…”

Section: Introductionmentioning

confidence: 99%

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Correlation between lifestyle patterns and overweight and obesity among Chinese adolescents

Huipan

Shen

et al. 2022

Front. Public Health

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Lifestyles such as physical exercise, sedentary behavior, eating habits, and sleep duration are all associated with adolescent overweight and obesity. The purpose of this study was to investigate how Chinese adolescents' lifestyles clustered into different lifestyle patterns, and to analyze the correlation between these patterns and adolescent overweight and obesity. The investigated respondents included 13,670 adolescents aged 13–18 from various administrative regions in China. Latent class analysis was employed to cluster the lifestyles of adolescents, χ2 test and Logistic regression were used to explore the relationship between lifestyle patterns and overweight and obesity in adolescents. The results identified 6 types of Chinese adolescents' lifestyle patterns, as well as the significant differences in gender and age. The adolescents with high exercise-high calorie diet had the lowest risk of overweight and obesity, and the adolescents with low consciousness-low physical activity and low consciousness-unhealthy had the highest risk of overweight and obesity, which were 1.432 times and 1.346 times higher than those with high exercise-high calorie diet, respectively. The studied demonstrated that there was a coexistence of healthy behaviors and health-risk behaviors in the lifestyle clustering of Chinese adolescents. Low physical exercise and high intake of snacks and carbonated beverages were the most common. Physical exercise and health consciousness were the protective factors of overweight and obesity in adolescents.

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Section: Discussionsupporting

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Correlation between lifestyle patterns and overweight and obesity among Chinese adolescents

Huipan

Shen

et al. 2022

Front. Public Health

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“…Thus, tests based on hypotheses are appropriate, procedures obtain the most adjusted, parsimonious, and interpretable model. This is a grouping method appropriate for identifying behavioral patterns [ 50 ] and analysis of iterations and associations between different types of variables related to the most common behaviors adopted by the pediatric population [ 51 ]. LCA was used to model the latent variable "movement behaviors" from five manifest variables related to adolescents PA and sedentary time.…”

Section: Methodsmentioning

confidence: 99%

Ecological correlates related to adolescent movement behaviors: A latent class analysis

Caetano

Miranda²,

Santos³

et al. 2022

PLoS ONE

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The ecological model has been widely used to help researchers understand the multiple influences in the physical activity (PA) and in the sedentary behaviors in isolated forms. To date, few correlates concerning the behavioral groupings of PA and sedentary behaviors have been studied. In this context, this study aimed to identify movement behaviors’ latent classes related to the different adolescents’ PA and sedentary time expressions, as well as their associations with individual, sociodemographic, family, and environmental correlates. This is a cross-sectional study with 309 students aged between 14 and 16. Latent Class Analysis was used to identify movement behavior classes based on light PA, moderate to vigorous PA, number of steps, sedentary time, and screen time (ST). An accelerometer was used to evaluate movement behaviors. The individual, sociodemographic, family, and environmental correlates were assessed by questionnaires. Three classes were identified: Class 1, "Active and Non-Sedentary" (8.10% of the sample), Class 2, "Active and Sedentary" (28.5%), and Class 3, "Inactive and Sedentary" (63.4%). Those with low fruit intake, low aerobic fitness, stressed and whose head of the family obtained an ‘elementary school’ level education were, respectively, 7.17, 3.59, 3.56, and 4.40 times more likely to belong to class 3 than class 1. Those with medium and high socioeconomic status were 82% and 83% less likely to belong to class 1 than classes 2 and 3, respectively. Adolescents who perceived the neighborhoods with the best access to diversified land use, street connectivity, walking/pedaling ease, and traffic safety attributes, were 84%, 85%, 82%, and 82%, respectively less likely to belong to class 1 than class 2. It is concluded that distinct correlates can be associated with the movement behaviors classes.

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“…Prior research on families with adolescents has shown that multiple eating behaviours tend to cluster in ways that reflect meaningful heterogeneous eating patterns among individuals that influence their health outcomes 15 . There is some evidence that health-related behaviours patterns comprising diet, physical activity (PA) and/or sedentary behaviour are associated with overweight and obesity among children and adolescents 18 , 19 . However, there is a lack of research that examines how multiple eating behaviours in combination may influence health and HRQoL among children and adolescents.…”

Section: Introductionmentioning

confidence: 99%

The importance of eating patterns for health-related quality of life among children aged 10–11 years in Alberta of Canada

Öhinmaa

Maximova

et al. 2022

Sci Rep

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Children with unhealthy eating behaviours are more likely to experience poor physical and mental health. Few studies have investigated the importance of eating patterns for health-related quality of life (HRQoL) among children. This study aimed to identify common eating patterns, and their associations with HRQoL among Canadian children. Data were collected from 9150 grade five students (aged 10–11 years) in repeat cross-sectional population-based surveys in Alberta, Canada. Students’ eating behaviours were analyzed using latent class analysis to identify the eating patterns. We applied multilevel multivariable logistic regression to examine the association of the eating patterns with HRQoL. We identified three groups of children with distinct eating patterns: eating healthy (52%), less healthy (31%) and unhealthy (17%). The first group had a higher proportion of students engaged in healthy eating behaviours. The unhealthy pattern group (third group) included a higher proportion of students with poor eating behaviours. Students’ eating behaviours in the second group were healthier than the third group but less healthy than the first group. Children with unhealthy and less healthy patterns were more likely to experience lower HRQoL than children with the healthy pattern. Health promotion programs effective in improving healthy eating patterns may not only reduce the risk for chronic diseases in the long term, but also improve the HRQoL in the short term.

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Use of latent class analysis as a method of assessing the physical activity level, sedentary behavior and nutritional habit in the adolescents’ lifestyle: A scoping review

Cited by 18 publications

References 70 publications

Correlation between lifestyle patterns and overweight and obesity among Chinese adolescents

Correlation between lifestyle patterns and overweight and obesity among Chinese adolescents

Ecological correlates related to adolescent movement behaviors: A latent class analysis

The importance of eating patterns for health-related quality of life among children aged 10–11 years in Alberta of Canada

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