Health-related quality of life of Portuguese children and adolescents according to diet quality and food intake

Silva, Ana Lúcia; Teles, Júlia; Fragoso, Isabel

doi:10.1007/s11136-020-02475-9

Cited by 22 publications

(36 citation statements)

References 54 publications

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“…Mean overall DQI-I score in our study cohort (52 points) was marginally lower than the cutoff point of good diet quality indicating an overall moderate diet quality while the proportion of participants with good DQI-I was also low (28%). In agreement with our results, previous studies in healthy children showed a mean score of overall DQI-I ranging between 50 and 57 points (19,20,22,29,30), and a proportion with good overall DQI-I ranging from 18 to 42% (20,22,29,30). Our findings combined with the reported in healthy children indicate that the overall diet quality in children is low, regardless of the restrictive diets.…”

Section: Overall Dqi-i and Dqi-i Domainssupporting

confidence: 92%

“…Previous authors suggested that the DQI-I provides an effective tool for evaluation and cross-national comparison of diet quality in healthy children and adolescents (18,20). Mean overall DQI-I score in our study cohort (52 points) was marginally lower than the cutoff point of good diet quality indicating an overall moderate diet quality while the proportion of participants with good DQI-I was also low (28%).…”

Section: Overall Dqi-i and Dqi-i Domainscontrasting

confidence: 52%

“…As the excessive intake of these nutrients increases the risk of chronic diseases, the highest intake of each item in the moderation domain is given the lowest score (0 points) while the lowest intake is given the highest score (6 points) resulting in a total moderation score range from 0 (worst) to 30 points (best). The DQI-I overall balance domain examines the balance among energy sources (carbohydrates:proteins:fat) and fatty acids (PUFA:MUFA:SFA) comprising two items given a maximum of 10 points (18,20).…”

Section: Diet Quality Assessmentmentioning

confidence: 99%

“…The Diet Quality Index -International (DQI-I) can be calculated using a variety of dietary assessment methods and was developed for global monitoring of diet quality across countries (18). Currently, limited studies utilized the DQI-I for evaluation of diet quality in healthy children and adolescents (19)(20)(21)(22), as well as children with certain pathologic conditions, such as cerebral palsy, liver transplantation (23,24). Williams et al who assessed the DQI-I in a cohort of adolescents (12-18 years old) attending secondary school found that the DQI-I total score was 53.7 and 51.3 in boys and girls, respectively (19).…”

Section: Introductionmentioning

confidence: 99%

“…Williams et al who assessed the DQI-I in a cohort of adolescents (12-18 years old) attending secondary school found that the DQI-I total score was 53.7 and 51.3 in boys and girls, respectively (19). Silva et al in a cohort of healthy children and adolescents aged 10-17 years showed that the DQI-I score (mean 49.6 points) was positively correlated with physical well-being (20). A survey in Nova Scotia by Colapinto et al examining the lifestyle of 4,966 children associated the Abbreviations: AI, adequate intake; AR, average requirements; DQI-I, Diet Quality Index -International; E%, energy as percentage of energy intake; EFSA, European Food Safety Authority; FA, Food Allergy; FFQ, Food Frequency Questionnaire; IR%, Intake as percentage of Requirements; MUFA, Mono-Unsaturated Fatty Acids; NDA, Dietetic Products, Nutrition and Allergies; PUFA, Poly-Unsaturated Fatty Acids; SFA, Saturated Fatty Acids.…”

Section: Introductionmentioning

confidence: 99%

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Section: Overall Dqi-i and Dqi-i Domainssupporting

confidence: 92%

Section: Overall Dqi-i and Dqi-i Domainscontrasting

confidence: 52%

Section: Diet Quality Assessmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Comparing the Mediating Effect of Adolescent Lifestyle Profiles on the Relationship between Smartphone Addiction and Health-related Quality of Life Among Male and Female Senior High School Students in the Philippines

Buctot

Kim

2021

Int J Ment Health Addiction

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This study aimed to examine and compare the mediating effect of adolescent lifestyle profiles in the relationship between male and female adolescents' smartphone addiction and health-related quality of life. This model was investigated with 1338 Filipino senior high school students. Using Google Forms, the participants completed the survey on smartphone addiction, health-related quality of life, and adolescent lifestyle profiles. The correlation analyses demonstrated that smartphone addiction was significantly and negatively correlated with health-related quality of life and adolescent lifestyle profiles. Furthermore, adolescent lifestyle profiles were positively correlated with health-related quality of life. The mediation analyses revealed that adolescent lifestyle profiles significantly mediated the relationship between smartphone addiction and health-related quality of life for both male and females after controlling for demographics and nomophobia with females, who were highly addicted to smartphones, getting more mediating effects than males. Implications of these findings are discussed with recommendation for future studies.Keyword Smartphone addiction • Health-promoting lifestyle profiles • Adolescent lifestyle profiles • Health-related quality of life • Filipino senior high school students Smartphone addiction (SA) has not been recognized in the fifth edition of Diagnostic and Statistical Manual of Mental Disorders (DSM-5) yet, but some studies insist that it should be considered as addiction since it holds similar attributes to internet or gaming addiction as smartphones have internet access and features that are addictive in nature (Demirci * Nami Kim

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Less Screen Time, More Frequent Fruit and Vegetable Intake and Physical Activity are Associated with Greater Mental Wellbeing in Adolescents

et al. 2022

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Wellbeing declines during adolescence, for which the reasons are unclear. This analysis explored associations between wellbeing and multiple lifestyle, socioeconomic and school-level factors in young people. Data were collected as part of the Wellbeing in School (WiSe) survey of adolescent school children in Northern Ireland at age 13–14 years (N = 1618; 49% female) and 15–16 years (N = 1558; 50.5% female). Wellbeing was assessed using the short-form Warwick-Edinburgh Mental Wellbeing Scale (sWEMWBS), where scores declined between time one (13–14 years) and time two (15–16 years) in both sexes and were significantly lower in females at both timepoints. Multilevel, multivariate modelling was therefore undertaken separately for males and females with sWEMWBS scores as the dependent variable. Physical activity, family affluence, fruit and vegetable intake, social media use, sleep duration, school factors (size and type) and religion were independent variables. More frequent physical activity in both sexes at both timepoints was associated with higher sWEMWBS scores. In females, higher sWEMWBS scores were associated with less social media use at time one (and marginally at time two), greater family affluence at time two, and being Catholic at both timepoints. In males, higher sWEMWBS scores were associated with more frequent fruit and vegetable intake at time one. Mental wellbeing was unrelated to sleep duration or school factors in either sex, at both time points. Efforts to maximize mental wellbeing in adolescents should promote engagement in physical activity and implement sex-specific interventions.

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Health-related quality of life of Portuguese children and adolescents according to diet quality and food intake

Cited by 22 publications

References 54 publications

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Image_5.tif

Comparing the Mediating Effect of Adolescent Lifestyle Profiles on the Relationship between Smartphone Addiction and Health-related Quality of Life Among Male and Female Senior High School Students in the Philippines

Less Screen Time, More Frequent Fruit and Vegetable Intake and Physical Activity are Associated with Greater Mental Wellbeing in Adolescents

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