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Cited by 39 publications
(44 citation statements)
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“…In addition, there was coexistence of healthy and unhealthy behaviors at the same clusters. In contrast, a recent systematic review has shown that across clusters of obesogenic behaviors, derived by latent class analysis, those characterized by low consumption of fruit and vegetables and the high consumption of fatty foods, sugar snack foods, sweets, chips and fries, low PA (<1 h each day) and high SB (screen time and TV >2 h/day) and sleep time (<10 h/day) were positively associated with overweight and/or obesity in children and adolescents [ 42 ].…”
Section: Discussionmentioning
confidence: 99%
“…In addition, there was coexistence of healthy and unhealthy behaviors at the same clusters. In contrast, a recent systematic review has shown that across clusters of obesogenic behaviors, derived by latent class analysis, those characterized by low consumption of fruit and vegetables and the high consumption of fatty foods, sugar snack foods, sweets, chips and fries, low PA (<1 h each day) and high SB (screen time and TV >2 h/day) and sleep time (<10 h/day) were positively associated with overweight and/or obesity in children and adolescents [ 42 ].…”
Section: Discussionmentioning
confidence: 99%
“…Studies exploring trends in existing lifestyle-related research mainly used systematic reviews and meta-analysis with limited targets, such as specific age groups, specific diseases, and specific target groups [ 10 , 11 , 12 , 13 ]. Analyzing research trends using qualitative research methods has disadvantages such as limited time and funding and biased analysis results, depending on the researcher’s major.…”
Section: Introductionmentioning
confidence: 99%
“…Thus, recent researchers have identified latent classes or clusters of adolescent OBs and have investigated their associations with weight-related outcomes [ 18 , 19 , 20 ]. In particular, latent class analysis (LCA), one of the person-centered approaches, is considered suitable for (a) identifying heterogeneous subgroups based on multidimensional characteristics of human behaviors [ 21 ] and (b) examining effects of tailored interventions considering characteristics of target subgroups [ 22 ].…”
Section: Introductionmentioning
confidence: 99%
“…In particular, latent class analysis (LCA), one of the person-centered approaches, is considered suitable for (a) identifying heterogeneous subgroups based on multidimensional characteristics of human behaviors [ 21 ] and (b) examining effects of tailored interventions considering characteristics of target subgroups [ 22 ]. Most LCA studies identifying patterns of adolescent OBs demonstrated that multiple OBs were divided into three to five heterogeneous subgroups [ 19 ], associated with weight status, perceived overweight, and body dissatisfaction [ 19 , 20 , 23 , 24 , 25 ]. However, there is little information available on the association between OB patterns and UWCB.…”
Section: Introductionmentioning
confidence: 99%
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