Clustering patterns of oral and general health‐risk behaviours in Brazilian adolescents: Findings from a national survey

Jordão, Lídia Moraes Ribeiro; Malta, Déborah Carvalho; Freire, Maria do Carmo Matias

doi:10.1111/cdoe.12354

Cited by 25 publications

(24 citation statements)

References 39 publications

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“…In agreement with a number of previous studies, 1,10,11,13,[15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30] this study found that skipping breakfast increased the likelihood of 11 of 15 health risk behaviours, all of nine poor mental health indicators and poor academic performance. These findings replicate earlier results showing the wide range of possible effects of skipping breakfast on various health risk behaviours and poor mental indicators.…”

Section: Discussionsupporting

confidence: 92%

“…These findings replicate earlier results showing the wide range of possible effects of skipping breakfast on various health risk behaviours and poor mental indicators. 16,18,20,29 Possible mechanisms to explain the effects of skipping breakfast on health risk behaviours and mental health, may be that having breakfast assists university students to "function better cognitively and psychosocially." 18,51 University students who had almost daily or daily breakfast tended to make healthier food choices throughout the day, as found in an earlier study among Chinese adolescents.…”

Section: Discussionmentioning

confidence: 99%

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<p>Skipping Breakfast and Its Association with Health Risk Behaviour and Mental Health Among University Students in 28 Countries</p>

Pengpid¹,

Peltzer²

2020

DMSO

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Introduction: The study aimed to investigate the associations between skipping breakfast and various health risk behaviours and mental health in university students in 28 countries. Methods: Using a cross-sectional study design, 21,972 university students with a median age of 20 years from 28 countries in Africa, the Americas and Asia, replied to self-reported measures of breakfast consumption, health compromising behaviours, mental health measures and protective factors. Results: In adjusted logistic regression analysis, infrequent and/or frequent breakfast skipping was associated with inadequate fruit and vegetable intake, frequent soft drink intake, not avoiding fat and cholesterol, current binge drinking, current tobacco use, gambling, not always wearing a seatbelt, inadequate physical activity, inadequate tooth brushing, not seeing a dentist in the past year and having been in a physical fight. In addition, infrequent and/or frequent breakfast skipping was associated with depression, lower happiness, posttraumatic stress disorder, loneliness, short sleep, long sleep, sleep problem, restless sleep, sleep problem due to traumatic event, and poor academic performance. Discussion: We found evidence that skipping breakfast was associated with 10 of 15 health risk behaviours, all of nine poor mental health indicators and poor academic performance.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 99%

<p>Skipping Breakfast and Its Association with Health Risk Behaviour and Mental Health Among University Students in 28 Countries</p>

Pengpid¹,

Peltzer²

2020

DMSO

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“…Even though the DAQ included one question regarding smoking and four related to engaging in PA and screen time, it was still called the Dietary Adherence Questionnaire because those questions were added to examine the correlation of diet with smoking and PA to identify potentially clustered behaviors. Based on a cross-sectional study of Brazilian adolescents, a significant positive correlation was found between smoking and a high intake of sweets, low fruit intake and high intake of soft drinks [30]. The questions regarding PA and screen-viewing time were added because studies have shown that active individuals tend to have healthier diets [31].…”

Section: Dietary Adherence Questionnairementioning

confidence: 99%

“…In addition, more girls than boys participated. This can be attributed to the higher number of girls enrolled in Lebanese schools [30]. Some Lebanese public high schools are for girls only, but there are no schools for boys only.…”

Section: Strengths and Limitationsmentioning

confidence: 99%

Development of Dietary Knowledge and Adherence Questionnaires for Lebanese Adolescents and Their Parents

Said

Gubbels

Kremers

2019

IJERPH

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The availability of practical tools to assess dietary knowledge and adherence is essential to evaluate the effectiveness of dietary interventions. The aims of this paper were to develop reliable dietary knowledge and adherence questionnaires, suitable for Lebanese adolescents and their parents, and to estimate the feasibility of conducting studies involving such participants in the school-based setting. Eight Lebanese high schools participated in this study (involving 220 adolescents aged 15–18 years). Self-administered dietary knowledge and adherence questionnaires (the Dietary Knowledge Questionnaire (DKQ) and the Dietary Adherence Questionnaire (DAQ), respectively) were completed by the high school students and their parents. A 24 h recall was additionally administered for the adolescents by a dietitian and a trained interviewer at school, in order to validate the adolescents’ answers in the DAQ. The cognitive interview method was used to qualitatively evaluate the questionnaires. The resulting Cronbach’s alpha ranged from 0.61 to 0.78 for the adolescent questionnaires and from 0.46 to 0.89 for the parental ones. In addition, 23 items (out of 25) of the adolescent DAQ matched with the administered 24 h recall. A significant negative correlation was found between the knowledge score (DKQ) and the unhealthy items of the adolescent DAQ. There was a significant positive correlation between the DKQ of the parents and the knowledge score of their children. This is the first study of dietary questionnaires involving Lebanese high school students from different regions, while also including their parents.

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“…This analysis is limited by both the small number and type of risk considered as well as the focus on only male adolescents. HACA was also adopted in a study exploring clustering of 17 risk behaviours among Brazilian adolescents aged 13-15 years [9]. This also generated a lack of adherence to preventive behaviours (less frequent hygiene practices, unprotected sex, skipping breakfast, no dental visits), and undertaking risky conduct (current smoking, illegal drug use, no helmet and seatbelt use, high sugar intake, physical fighting and current drinking) and a second unhealthy lifestyle group (sedentary habits, such as insufficient physical activity and eating while watching TV or studying, and diet poor in fruit).…”

Section: Introductionmentioning

confidence: 99%

Adolescent multiple risk behaviours cluster by number of risks rather than distinct risk profiles in the ALSPAC cohort

et al. 2020

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Background: Experimentation with new behaviours during adolescence is normal. However, engagement in two or more risk behaviours, termed multiple risk behaviours is associated with socioeconomic disadvantage and poor health and social outcomes. Evidence of how adolescents cluster based on their risk behaviours is mixed. Methods: Latent Class Analysis was used to study patterns of engagement in 10 self-reported risk behaviours (including substance use, self-harm and sexual health) from the Avon Longitudinal Study of Parents and Children (ALSPAC) cohort at ages 15-16 years. Data was available for 6556 adolescents. Associations between risk profile and sex were explored. Results: A 3-class model for both females and males was deemed to have acceptable fit. Whilst we found evidence of a sex difference in the risk behaviours reported within each class, the sex-specific results were very similar in many respects. For instance, the prevalence of membership of the high-risk class was 8.5% for males and 8.7% for females and both groups had an average of 5.9 behaviours. However, the classes were both statistically dubious, with class separation (entropy) being poor as well as conceptually problematic, because the resulting classes did not provide distinct profiles and varied only by quantity of risk-behaviours. Conclusion: Clusters of adolescents were not characterised by distinct risk behaviour profiles, and provide no additional insight for intervention strategies. Given this is a more complicated, software-specific method, we conclude that an equally effective, but more readily replicable approach is to use a count of the number of risk behaviours.

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Clustering patterns of oral and general health‐risk behaviours in Brazilian adolescents: Findings from a national survey

Cited by 25 publications

References 39 publications

<p>Skipping Breakfast and Its Association with Health Risk Behaviour and Mental Health Among University Students in 28 Countries</p>

<p>Skipping Breakfast and Its Association with Health Risk Behaviour and Mental Health Among University Students in 28 Countries</p>

Development of Dietary Knowledge and Adherence Questionnaires for Lebanese Adolescents and Their Parents

Adolescent multiple risk behaviours cluster by number of risks rather than distinct risk profiles in the ALSPAC cohort

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