Clustering of Dietary Patterns, Lifestyles, and Overweight among Spanish Children and Adolescents in the ANIBES Study

Clusters of 24-hour movement behavior and diet and their relationship with health indicators among youth: a systematic review

Movement-related behaviors (physical activity [PA], sedentary behavior [SB], and sleep) and diet interact with each other and play important roles in health indicators in youth. This systematic review aimed to investigate how PA, SB, sleep, and diet cluster in youth by biological sex; and to examine which cluster are associated with health indicators. This study was registered in PROSPERO (number: CRD42018094826). Five electronic databases were assessed. Eligibility criteria allowed studies that included youth (aged 19 years and younger), and only the four behaviors {PA, SB, sleep, and diet (ultra-processed foods [UPF]; fruits and vegetables [FV])} analyzed by applying data-based cluster procedures. From 12,719 articles screened; 23 were included. Of these, four investigated children, and ten identified clusters by biological sex. Sixty-six mixed cluster were identified including, 34 in mixed-sex samples, 10 in boys and 11 in girls. The most frequent clusters in mixed-sex samples were "High SB UPF Low Sleep", "Low PA High SB Satisfactory Sleep", and "High PA". The main difference in profiles according to sex was that girls' clusters were characterized by high sleep duration, whereas boys' clusters by high PA. There were a few associations found between cluster types and health indicators, highlighting that youth assigned to cluster types with low PA exhibited higher adiposity. In conclusion, the youth presented a range of clusters of behaviors, typically exhibiting at least one unhealthy behavior. Similar patterns were observed in both sexes with the biggest difference in time of sleep for girls and PA for boys. These findings underscore the importance of intervention strategies targeting multiple behaviors simultaneously to enhance health risk profiles and indicators in children and adolescents.

Influence of Home Language Use on the Association Between Parent Education and Child Adiposity in Latino Families

BACKGROUND

Parent education and language use are associated with child obesity, but the impact of their interaction is less known. This study assessed whether parent education was associated with child adiposity and if this association was moderated by home language use in Latino families.

METHODS

Participants (n = 415) were Latino families from the Long Beach area. Demographic data were obtained by self-report parent surveys, and children's body size was objectively assessed via bioelectric impedance. Independent t-tests and hierarchical linear regressions were performed on baseline data from a larger intervention study.

RESULTS

In the overall sample, parent education and child body mass index (BMI) percentile were not related (p = .050). However, stratification by home language use revealed that parent education was inversely associated with child BMI percentile among those whose primary home language was Spanish (p = .049), but not English/bilingual homes (p = .296). There were no significant associations with child percent body fat.

CONCLUSION

Higher education was associated with a lower BMI percentile only in Spanish-speaking homes. Research to understand how home language influences this relationship is warranted, particularly as it relates to a subset of education and health literacy. Significant results with BMI percentile but not percent body fat highlight the fact that these distinct markers of obesity are not interchangeable.

A Clustering Study of Dietary Patterns and Physical Activity among Workers of the Uruguayan State Electrical Company

Recent studies have shown that certain nutrients, specific food groups, or general dietary patterns (DPs) can promote health and prevent noncommunicable chronic diseases (NCCDs). Both developed and developing countries experience a high prevalence of NCCDs due to poor lifestyle habits, DPs, and low physical activity levels. This study aims to examine the dietary, physical activity, sociodemographic, and lifestyle patterns of Uruguayan State Electrical Company workers (the IN-UTE study). A total of 2194 workers participated in the study, providing information about their sociodemographics, lifestyles, and dietary habits through different questionnaires. To identify DPs from 16 food groups, principal component analysis (PCA) was performed. A hierarchical cluster algorithm was used to combine food groups and sociodemographic/lifestyle variables. Four DPs were extracted from the data; the first DP was related to the intake of energy-dense foods, the second DP to the characteristics of the job, the third DP to a Mediterranean-style diet, and the fourth DP to age and body mass index. In addition, cluster analysis involving a larger number of lifestyle variables produced similar results to the PCA. Lifestyle and sociodemographic factors, including night work, working outside, and moderate and intense PA, were significantly correlated with the dietary clusters, suggesting that working conditions, socioeconomic status, and PA may play an important role in determining DPs to some extent. Accordingly, these findings should be used to design lifestyle interventions to reverse the appearance of unhealthy DPs in the UTE population.

Lifestyle behaviors clusters in a nationwide sample of Spanish children and adolescents: PASOS study

BACKGROUND

Youth is a vulnerable period. To classify lifestyle behaviors and its relationship with health-related outcomes of Spanish children and adolescents.

METHODS

Cross-sectional study including 3261 children aged 7.5-17.5 y (52.8% females). Physical activity (PA), screen-time, sleep time, adherence to Mediterranean diet (MD), weight status (WS) by validated methods. Cluster analysis was run considering chronological age.

RESULTS

Six clusters were identified: C1: high screen time, low adherence to MD and sleep time (n = 431,13.20%); C2: high WS, medium adherence to MD,high sleep time, and low screen time (n = 466,14.30%); C3: young group with low screen time and high PA, adherence to MD and sleep (n = 537,16.40%); C4: worst profile regarding adherence to MD, PA, WS and sleep time (n = 609,18.70%); C5: low screen time and PA, high sleep time (n = 804,24.70%); C6: high PA and screen time, low WS (n = 414,12.70%). Mean absolute values were statistically different among PA levels, screen and sleep time, adherence to MD, age, and WS (all p < 0.001).

CONCLUSIONS

The most prevalent pattern was low levels of PA, MD, and screen time, and high sleep time. The second most prevalent was characterized by very low levels of PA, sleep time, and adherence to MD, and high screen time, and WS in adolescents.

IMPACT STATEMENT

The main identified lifestyle behavior was poor physical activity, low adherence to Mediterranean Diet and high screen and sleep time. Children should increase physical activity levels, adherence to Mediterranean diet, decrease screen and sleep the appropriate hours per day. Families, schools, and medical communities must work together to gloss over present and future diseases. Sleep time had not been previously included in cluster analysis with physical activity, sedentary behaviors, obesity, and nutritional status, thus the present data open a new perspective in Spanish population. Health policies should focus on promoting physical activity, Mediterranean diet, adequate sleep and reducing screen time.

Clustering of lifestyle behaviours and analysis of their associations with MAFLD: a cross-sectional study of 196,515 individuals in China

BACKGROUND

The aggregation of lifestyle behaviours and their association with metabolic-associated fatty liver disease (MAFLD) remain unclear. We identified lifestyle patterns and investigated their association with the risk of developing MAFLD in a sample of Chinese adults who underwent annual physical examinations.

METHODS

Annual physical examination data of Chinese adults from January 2016 to December 2020 were used in this study. We created a scoring system for lifestyle items combining a statistical method (multivariate analysis of variance) and clinical expertise (Delphi method). Subsequently, principal component analysis and two-step cluster analysis were implemented to derive the lifestyle patterns of men and women. Binary logistic regression analysis was used to explore the prevalence risk of MAFLD among lifestyle patterns stratified by sex.

RESULTS

A total of 196,515 subjects were included in the analysis. Based on the defined lifestyle scoring system, nine and four lifestyle patterns were identified for men and women, respectively, which included "healthy or unhealthy" patterns and mixed patterns containing a combination of healthy and risky lifestyle behaviours. This study showed that subjects with an unhealthy or mixed pattern had a significantly higher risk of developing MAFLD than subjects with a relatively healthy pattern, especially among men.

CONCLUSIONS

Clusters of unfavourable behaviours are more prominent in men than in women. Lifestyle patterns, as important factors influencing the development of MAFLD, show significant sex differences in the risk of MAFLD. There is a strong need for future research to develop targeted MAFLD interventions based on the identified behavioural clusters by sex stratification.

Cross-sectional and prospective associations between behavioural patterns and adiposity in school-aged children

OBJECTIVE

Behavioural patterns are important in understanding the synergistic effect of multiple health behaviours on childhood adiposity. Most previous evidence assessing associations between patterns and adiposity were cross-sectional and investigated two or three behaviour domains within patterns. This study aimed to identify behavioural patterns comprising four behaviour domains and investigate associations with adiposity risk in children.

DESIGN

Parent-report and accelerometry data were used to capture daily dietary, physical activity, sedentary behaviour and sleep data. Variables were standardised and included in the latent profile analysis to derive behavioural patterns. Trained researchers measured children's height, weight and waist circumference using standardised protocols. Associations of patterns and adiposity measures were tested using multiple linear regression.

SETTING

Melbourne, Australia.

PARTICIPANTS

A total of 337 children followed up at 6-8 years (T2) and 9-11 years (T3).

RESULTS

Three patterns derived at 6-8 years were broadly identified to be healthy, unhealthy and mixed patterns. Patterns at 9-11 years were dissimilar except for the unhealthy pattern. Individual behaviours characterising the patterns varied over time. No significant cross-sectional or prospective associations were observed with adiposity at both time points; however, children displaying the unhealthy pattern had higher adiposity measures than other patterns.

CONCLUSION

Three non-identical patterns were identified at 6-8 and 9-11 years. The individual behaviours that characterised patterns (dominant behaviours) at both ages are possible drivers of the patterns obtained and could explain the lack of associations with adiposity. Identifying individual behaviour pattern drivers and strategic intervention are key to maintain and prevent the decline of healthy patterns.

Clustering of lifestyle behaviors and adiposity in early adolescents in Spain: findings from the SI! Program for Secondary Schools

BACKGROUND

Several unhealthy lifestyle behaviors in adolescence are often linked to overweight/obesity. Some of them may be present simultaneously, leading to combined effects on health. Therefore, the clustering of several unhealthy behaviors in adolescents might be associated with adiposity excess.

PURPOSE

To identify lifestyle patterns and analyze their association with adiposity in early adolescents.

METHODS

A cross-sectional cluster analysis was performed in 1183 adolescents (50.5% girls) with a mean age of 12.5 (0.4) years included in the SI! Program for Secondary Schools in Spain to identify lifestyle patterns based on healthy diet, step counts, sleep time, and leisure screen time. Generalized mixed models were applied to estimate the association between lifestyle patterns and adiposity indices.

RESULTS

Four lifestyle patterns were derived: Cluster 1-higher screen time and poorer diet (n = 213), Cluster 2-lower activity and longer sleepers (n = 388), Cluster 3-active and shorter sleepers (n = 280), and Cluster 4-healthiest (n = 302). Except for the number of steps (12,008 (2357) day), the lifestyle behaviors in our sample presented levels far below the recommendations, especially for sleep duration. Cluster 4 included the largest proportion of adolescents from high socioeconomic status families (47.7%) and the lowest prevalence of overweight/obesity (23.1%). Compared to Cluster 4-healthiest, adolescents in the remaining clusters presented a higher prevalence of overweight/obesity and central obesity, showing Cluster 3 the highest prevalences (PR:1.31 [95%CI: 1.31, 1.31] and PR:1.40 [95%CI: 1.33, 1.47]).

CONCLUSIONS

Clustering of lifestyle patterns in early adolescence allows the identification of individuals with excess adiposity, in whom health promotion strategies should be stressed, especially in socioeconomically disadvantaged groups.

TRIAL REGISTRATION

Clinical Trial Registry, NCT03504059. Registered 20/04/2018-Retrospectively registered, https://clinicaltrials.gov/ct2/show/NCT03504059 .

Dietary Patterns Associated with Abnormal Glucose Tolerance following Gestational Diabetes Mellitus: The MyNutritype Study

Abnormal glucose tolerance (AGT), which includes type 2 diabetes and pre-diabetes, is highly prevalent in women post gestational diabetes mellitus (post-GDM). Dietary patterns have been associated with the risk of developing AGT in women post-GDM, but evidence in Asian populations is sparse. This study aimed to determine the association between a posteriori dietary patterns and AGT in women post-GDM. This cross-sectional study recruited 157 women post-GDM (mean age 34.8 years) from Seri Kembangan Health Clinic and Universiti Putra Malaysia. AGT was diagnosed according to the Malaysian Clinical Practice Guidelines using a 75 g 2 h oral glucose tolerance test or HbA1c. Food intake was assessed using the 2014 Malaysian Adult Nutrition Survey food frequency questionnaire. Five dietary patterns were derived using principal component analysis: 'Unhealthy', 'Fish-eggs-fruits-vegetables', 'Cereals-confectionaries', 'Legumes-dairy', and 'Meat-sugar-sweetened-beverages'. After adjusting for sociodemographic characteristics and total energy intake, the 'Cereals-confectionaries' dietary pattern was significantly associated with AGT (adjusted odds ratio 1.536, p = 0.049). Targeted lifestyle modification, including dietary intervention, for women post-GDM is warranted to reduce their risk of AGT and its complications.

Nut consumption and academic performance among adolescents: the EHDLA study

PURPOSE

The aim of this study was to examine the relationship between nut consumption and academic performance in Spanish adolescents and to explore the role of sociodemographic, anthropometric, and lifestyle covariates on this association.

METHODS

A cross-sectional study was carried out using a food frequency questionnaire for estimating nut consumption in the number of 20-30 g servings per week, and academic performance data were obtained from school records. Analyses of covariance were adjusted for sociodemographic, anthropometric and lifestyle covariates, including total energy intake.

RESULTS

Among the 846 adolescents included in the analyses (55.3% girls, age range from 12 to 17 years), the mean ± standard deviation consumption of nuts was 2.7 ± 2.8 servings per week, while the mean of all school grades recorded was 6.5 ± 2.0. Furthermore, compared to no consumption, the consumption of ≥ 3 nut servings per week was consistently associated with higher grades in language (p for trend = 0.005), combination of language and math (p for trend = 0.026), grade point average (p for trend = 0.039), and combination of all school records (p for trend = 0.046). These associations were observed regardless of all covariates considered, although sex and socioeconomic level played a significant role in the completely adjusted models.

CONCLUSION

Nut consumption is associated with higher academic performance in a representative sample of Spanish adolescents. These cross-sectional results should be confirmed in longitudinal and intervention studies.

Associations of smartphone addiction, chronotype, sleep quality, and risk of eating disorders among university students: A cross-sectional study from Sharjah/United Arab Emirates

Objectives

As smartphone addiction (SA) becomes more prevalent among young adults, there is growing concern over its impact on dietary and lifestyle habits, such as disturbed sleep and eating patterns. However, limited literature exists particularly on the association between SA and eating disorders (ED). Thus, this study aims to study the prevalence of SA risk, poor sleeping quality, evening chronotype, and ED risk among university students in the UAE. It also aims to assess the associations between them, emphasizing the one between ED and SA risks.

Methods

In this cross-sectional study, a self-administered online questionnaire was disseminated via convenience sampling. Pittsburgh Sleep Quality Index, Morningness-Eveningness Questionnaire, Eating Attitude Test-26 items, and Smartphone Addiction Scale-Short Version were used to measure sleep quality, chronotype, ED risk, and SA risk, respectively. Descriptive and analytical statistics were applied, and P < 0.05 was considered for statistical significance.

Results

Out of 552 students (mean age: 21.2 ± 5.1 years), 71% had poor sleep quality, 33.9% reported evening chronotype, 37.9% had ED risk, and 56.2% had SA risk. SA risk was significantly associated with both poor sleep quality (OR = 2.93; 95% CI: 2.01-4.29; p < 0.001) and evening chronotype (p = 0.005). ED risk was significantly associated with poor sleep quality (p < 0.001). Poor sleep quality predicted ED risk best.

Conclusion

High prevalence of SA, ED risk, and poor sleep quality was reported among university students in the UAE. Associations between poor sleep quality, evening chronotype, SA risk, and ED risk were further confirmed, with sleep quality predicting ED risk.

Food consumption patterns related to excess weight and obesity in Spanish preschoolers

PURPOSE

The aims of this study were (1) to identify the different food consumption patterns among Spanish preschoolers and (2) to examine the association between having a different food consumption pattern and the odds of having excess weight (i.e., overweight or obesity) or obesity among this population.

METHODS

This was a nationwide cross-sectional study with data from the Spanish National Health Survey-2017. All preschoolers (aged 3-5 years) with complete information on all the variables analyzed were selected. The frequency of consumption of the fourteen food groups was evaluated by a food frequency questionnaire. Excess weight/obesity were computed following the World Health Organization criteria. A hierarchical cluster analysis using Ward's method (i.e., based on squared Euclidean distances) and k-means were performed including all food group consumption. A total sample of 663 was included in the cluster analysis.

RESULTS

Three different clusters were established. Compared to the healthiest food consumption pattern (Cluster 1), higher odds of excess weight (OR = 1.51; CI: 95%, 1.02-2.25) and obesity (OR = 1.59; CI: 95%, 1.01-2.51) were found for participants with the unhealthiest food consumption pattern (Cluster 3).

CONCLUSION

Having a food consumption pattern considered unhealthy (i.e., low intake of vegetables/fruits, high consumption of confectionery products, sugar-sweetened beverages, fast-food, and snacks) was associated with presenting excess weight/obesity among Spanish preschoolers.

IMPACT

No studies have examined the specific food consumption patterns associated with excess weight or obesity among Spanish preschoolers. The unhealthiest food consumption pattern was characterized by a food consumption pattern that included a lower intake of vegetables and fruits and a higher consumption of confectionery products, sugar-sweetened beverages, fast-food, and snacks. Having a food consumption pattern considered unhealthy was associated with a higher prevalence of excess weight and obesity in comparison with other healthier food consumption patterns.

Maternal and Dietary Factors Are Associated with Metabolic Syndrome in Women with a Previous History of Gestational Diabetes Mellitus

While it is known that women with a previous history of gestational diabetes mellitus (post-GDM) have a higher risk of metabolic syndrome (MetS), evidence of lifestyle practices from low- and middle-income countries (LMICs) is still scarce. This study aimed to determine the factors associated with MetS in women post-GDM. This cross-sectional study involved 157 women post-GDM (mean age 34.8 ± 5.6 years) sampled from Selangor, Malaysia. We collected data on sociodemographic characteristics and obstetric history. Food intake was assessed using a food frequency questionnaire, and dietary patterns were derived from principal component analysis. MetS was diagnosed according to the 2009 Harmonized criteria. The prevalence of MetS in this study was 22.3%. Western dietary pattern consumption was correlated with MetS, body mass index (BMI), waist circumference, and triglyceride levels. Independent factors associated with MetS were lower education level (odds ratio, OR 4.017, p = 0.007), pre-pregnancy BMI (OR 1.192, p = 0.002), and Caesarean delivery (OR 3.798, p = 0.009). The study identified the maternal and dietary factors associated with MetS in women post-GDM in Malaysia. Community-based interventions that include dietary modification are warranted to prevent MetS and its complications, thus helping to reduce the overall disease burden.

Emotional Intelligence, Physical Activity Practice and Mediterranean Diet Adherence-An Explanatory Model in Elementary Education School Students

Currently, there is a global concern with regard to the lifestyles of young people. This study aims to study the association between Mediterranean diet adherence, emotional intelligence and physical activity practice in teenagers in the last cycle of elementary education. In turn, this objective is divided into (a) developing an explanatory model of the practice of physical activity, Mediterranean diet adherence and emotional intelligence; and (b) developing a multi-group model according to the gender of the participants. A descriptive, cross-sectional, comparative study was conducted in a sample of 293 elementary school students (M = 11.45; S.D = 0.31). The instruments used were an ad hoc socio-demographic questionnaire, the Trait Meta Mood Scale-24, the KIDMED questionnaire and the Physical Activity Questionnaire for Older Children. The results show that males show a positive relationship between adherence to the Mediterranean diet and emotional intelligence and between emotional intelligence and physical activity. In contrast, in the case of females, a negative relationship was observed between emotional intelligence and physical activity. In conclusion, it can be seen that gender plays a fundamental role in adolescence, being a key factor influencing an active and healthy lifestyle.

A multi-exposure approach to study telomere dynamics in childhood: A role for residential green space and waist circumference

BACKGROUND

Telomeres are vulnerable to various environmental exposures and lifestyle factors, encompassed in the exposome. Recent research shows that telomere length is substantially determined early in life and that exposures in childhood may have important consequences in setting later life telomere length.

OBJECTIVES

We explore in a child population the associations of 17 exposures with telomere length and longitudinal telomere change.

METHODS

Children (2.8-10.3y at baseline, 51.3% boys) were followed-up for five to seven years. Relative telomere length was measured at baseline and follow-up using quantitative real-time PCR. Exposures and lifestyle factors included: body composition (body mass index and waist circumference), dietary habits (sugar- and fat-rich food intake, vegetables and fruit intake), psychosocial stress (events, emotions, behaviour), sleep duration, physical activity, and residential environmental quality (longterm black carbon, particulate matter exposure, and residential green space). Cross-sectional (n=182) and longitudinal (n=150) analyses were assessed using linear regression models, adjusting for age, sex, socioeconomic status and multiple testing.

RESULTS

Our longitudinal analyses showed that higher residential green space at baseline was associated with (β=0.261, p=0.002) lower telomere attrition and that children with a higher waist circumference at baseline showed a higher telomere attrition (β=-0.287, p=0.001). These two predictors were confirmed via LASSO variable selection and correction for multiple testing. In addition, children with more unhealthy exposures at baseline had a significantly higher telomere attrition over the follow-up period compared to children with more healthy exposures (β=-0.200, p=0.017).

DISCUSSION

Waist circumference and residential green space were identified as predictors associated with telomere attrition in childhood. These results further support the advantages of a healthy lifestyle from early age onwards and the importance of a green environment to promote molecular longevity from childhood onwards.

Dietary Patterns, Metabolomic Profile, and Nutritype Signatures Associated with Type 2 Diabetes in Women with Postgestational Diabetes Mellitus: MyNutritype Study Protocol

Women with previous gestational diabetes mellitus (post-GDM) have an increased risk of cardiometabolic diseases including type 2 diabetes (T2D). Current diabetes screening is based on the oral glucose tolerance test without nutritional assessments, even though unhealthy dietary patterns were found to expedite disease progression in women post-GDM. While a healthful dietary pattern reduces T2D risk, limited data support a dietary pattern tailored to the Asian population, especially in the Malaysian context. Metabolomic profiles associated with dietary patterns in this population are also lacking. The proposed study aims to investigate both components of dietary patterns and metabolomic profile, known as nutritype signatures, and their association with T2D in women post-GDM. The comparative cross-sectional study will involve a minimum of 126 Malaysian women post-GDM aged 18–49 years. Dietary patterns will be analysed using principal component analysis. Plasma and urinary metabolites will be quantified using one-dimensional proton nuclear magnetic resonance (¹H NMR) spectroscopy. The aim of the study is identifying the nutritype signatures associated with T2D. The findings will support the development of early prevention measures against T2D in women post-GDM.

Sleep duration and eating behaviours among adolescents: a scoping review

INTRODUCTION

In the past decade, investigations of the relationship between sleep duration and eating behaviours have been emerging; however, a formal synthesis of the literature focussed on adolescent populations has not yet been conducted. We conducted a scoping review of the literature examining the relationship between sleep duration and eating behaviours in adolescents. Gaps in the research and directions for future research were identified based on the findings.

METHODS

A systematic search was employed on four research databases: PubMed, PsycInfo, CINAHL and Scopus; relevant grey literature was also reviewed. Studies that reported on the relationship between sleep duration and eating behaviours among high school-aged adolescents were included in the review. Data were extracted, charted and synthesized into a narrative. Consistent with the purpose of a scoping review, the methodological quality of the studies was not appraised. Stakeholders were consulted to validate the findings and provide insight into the interpretation and identification of pressing gaps in the research that remain to be addressed.

RESULTS

In total, 61 studies published between 2006 and 2021 met the criteria for review. Existing research focussed heavily on examining sleep duration in relation to intake of food from certain food groups, beverages and processed foods, and relied on a population study design, cross-sectional analyses and self-report measures.

CONCLUSION

Future research is needed to understand the link between sleep duration and eating-related cognition, eating contexts and disordered eating behaviours in order to better understand how ensuring sufficient sleep among adolescents can be leveraged to support healthier eating practices and reduce diet-related risks.

Cluster Analysis and Classification Model of Nutritional Anemia Associated Risk Factors Among Palestinian Schoolchildren, 2014

Nutritional inadequacy has been a major health problem worldwide. One of the many health problems that result from it is anemia. Anemia is considered a health concern among all ages, particularly children, as it has been associated with cognitive and developmental delays. Researchers have investigated the association between nutritional deficiencies and anemia through various methods. As novel analytical methods are needed to ascertain the association and reveal indirect ones, we aimed to classify nutritional anemia using the cluster analysis approach. In this study, we included 4,762 students aged between 10 and 17 years attending public and UNRWA schools in the West Bank. Students' 24-h food recall and blood sample data were collected for nutrient intake and hemoglobin analysis. The K-means cluster analysis was used to cluster the hemoglobin levels into two groups. Vitamin B12, folate, and iron intakes were used as the indicators of nutrient intake associated with anemia and were classified as per the Recommended Dietary Allowance (RDA) values. We applied the Classification and Regression Tree (CRT) model for studying the association between hemoglobin clusters and vitamin B12, folate, and iron intakes, sociodemographic variables, and health-related risk factors, accounting for grade and age. Results indicated that 46.4% of the students were classified into the low hemoglobin cluster, and 60.7, 72.5, and 30.3% of vitamin B12, folate, and iron intakes, respectively, were below RDA. The CRT analysis indicated that vitamin B12, iron, and folate intakes are important factors related to anemia in girls associated with age, locality, food consumption patterns, and physical activity levels, while iron and folate intakes were significant factors related to anemia in boys associated with the place of residence and the educational level of their mothers. The deployment of clustering and classification techniques for identifying the association between anemia and nutritional factors might facilitate the development of nutritional anemia prevention and intervention programs that will improve the health and wellbeing of schoolchildren.

Gender differences in the development of childhood obesity in young teenagers in Murcia, Spain

BACKGROUND

The number of overweight children is increasing at an alarming rate. This issue requires effective action plans, as childhood obesity has become a problem in which addressing environmental factors is decisive. Significant differences have also been shown in lifestyle habits that determine overweight based on sex. This study therefore aimed to examine these risk factors according to sex.

METHODS

The sample included first-year high school students from Murcia, Spain. Information was collected through the "Questionnaire on Healthy Habits in Adolescents," validated for this age range, and the weight, height, and waist circumference of the participants were obtained. Data were analyzed through partial least squares structural equation modeling to determine which modifiable risk factors promoted the appearance of excess weight and in what magnitude.

RESULTS

A total of 421 students participated in the study, and 40.6% of overweight patients were detected according to their body mass index. No differences were found between the sexes and weights. The environment and the use of new technologies that do not involve sitting were significant only in girls (P < 0.05). Conversely, physical activity was significantly higher in boys (P < 0.05). Dietary factors and sedentary activities did not differ according to sex.

CONCLUSIONS

The social and school environment, the use of new technologies (for girls), and physical activity (for boys) condition nutritional status. Identifying gender disparities in behaviors that involve health should be a priority for new prevention programs. Targeting young people's health from a gender perspective has considerable potential to reduce overweight problems in adulthood.

Association between food consumption and high levels of low density lipoprotein cholesterol among obese children

INTRODUCTION

The increase in the prevalence of obesity and obesity in children is a pattern of the last decades. This public health issue results in metabolic disorders such as dyslipidemia with increased LDL-C. Previous findings shows that most of the Brazilian children does not follow the recommended consumption of fruits and vegetables.

AIM OF THE STUDY

To evaluate the association of dietary intake characteristics with elevated serum cholesterol from low density lipoprotein in obese children.

MATERIAL AND METHODS

Cross-sectional study involving 137 obese children (5-10 years). The mean age of the studied children was 8.27 years, 55.5% were male The weight measurements were performed on a digital anthropometric scale. The body mass index was calculated for each child and the Food Frequency Questionnaire was applied. The peripheral blood was collected for lipid profile analysis. Stata 12.0 statistical package was used to analyze the data, considering a significance level of p < 0.05.

RESULTS

The prevalence of hypercholesterolemia based on the serum cholesterol from low density lipoprotein fraction was 14.6%. It was observed that children in the group who consumed the lower difference of risky and protective foods on a daily basis were not less likely to have a high cholesterol from low density lipoprotein level as a criterion for hypercholesterolemia (p = 0.218).

CONCLUSIONS

A large proportion of the individuals presented levels of lipid profile classified as undesirable for age, as well as food rich in components capable of increasing this profile, which should encourage the intensification in measures of prevention of cardiovascular diseases since childhood.

Associations between Child and Family Level Correlates and Behavioural Patterns in School-Aged Children

Identifying correlates of behavioural patterns are important to target population sub-groups at increased health risk. The aim was to investigate correlates of behavioural patterns comprising four behavioural domains in children. Data were from the HAPPY study when children were 6–8 years (n = 335) and 9–11 years (n = 339). Parents reported correlate and behavioural data (dietary intake, physical activity, sedentary behaviour, and sleep). Behavioural data were additionally captured using accelerometers. Latent profile analysis was used to derive patterns. Patterns were identified as healthy, unhealthy, and mixed at both time points. Multinomial logistic regression tested for associations. Girls were more likely to display healthy patterns at 6–8 years and display unhealthy and mixed patterns at 9–11 years than boys, compared to other patterns at the corresponding ages. Increased risk of displaying the unhealthy pattern with higher age was observed at both timepoints. At 9–11 years, higher parental working hours were associated with lower risk of displaying mixed patterns compared to the healthy pattern. Associations observed revealed girls and older children to be at risk for unhealthy patterns, warranting customisation of health efforts to these groups. The number of behaviours included when deriving patterns and the individual behaviours that dominate each pattern appear to be drivers of the associations for child level, but not for family level, correlates.

Clustering of Physical Activity, Diet and Sedentary Behavior among Youth from Low-, Middle-, and High-Income Countries: A Scoping Review

Background: The interaction between physical activity (PA), diet, and sedentary behavior (SB) plays an important role on health-related outcomes. This scoping review (Prospero CRD42018094826) aims to identify and appraise clusters of PA, diet, and SB among youth (0–19 years) according to country income. Methods: Five databases were searched. Fifty-seven articles met the inclusion criteria. Results: Fifty-five cluster types were identified, with greater variety in high-income than lower income countries. The most prevalent profiles were “High SB and consumption of sugar, salt, and beverages (SSB)” (n = 17) and “High PA” (n = 13–5), both of which presented in all income countries. The healthiest profile, “High PA and fruit and vegetables (F&V); Low SB and SSB” (n = 12), was present in upper-middle and high-income countries, while the unhealthiest “Low PA and F&V; High SB and SSB” (n = 6) was present only in high-income countries. Conclusions: High SB and unhealthy diet (SSB) were more prevalent in clusters, mainly in high-income countries. The results support the need for multi-component actions targeting more than one behavior at the same time.

Longitudinal Associations of Healthy Behaviors on Fitness in Adolescents: DADOS Study

INTRODUCTION

This study aims to investigate the individual and combined associations of physical activity, sedentary time, diet, and sleep at baseline on cardiorespiratory fitness at 24-month follow-up in adolescents.

METHODS

The DADOS (Deporte, ADOlescencia y Salud) prospective cohort study was performed between 2015 and 2017. Analyses were conducted in 2020 and included 189 adolescents aged 13.9 (SD=0.3) years at baseline. Vigorous physical activity, total sedentary time, and sleep duration were evaluated by GENEActiv accelerometer. Sleep quality and adherence to a Mediterranean diet were evaluated by questionnaires. Cardiorespiratory fitness was assessed by the 20-meter shuttle run test. A healthy lifestyle index was created by including positive scores for each individual behavior, and 3 categories of achievement (≤1, 2, ≥3) were established.

RESULTS

Performing high vigorous physical activity and low screen time at baseline were individually associated with the likelihood of achieving high cardiorespiratory fitness at follow-up (OR=3.33 and 3.09, respectively). ANCOVA indicated that adolescents with a healthy lifestyle index ≥3 at baseline showed higher cardiorespiratory fitness at follow-up than those with a healthy lifestyle index of 2 and ≤1 (74.4 [SE=1.5] vs 68.9 [SE=1.4] and 67.8 [SE=1.5] laps, respectively; p<0.01). Adolescents with a healthy lifestyle index ≥3 at baseline were more likely to have high cardiorespiratory fitness at follow-up (OR=3.10) than their peers with ≤1.

CONCLUSIONS

The results showed a cumulative impact of baseline health-related behaviors on cardiorespiratory fitness at 24-month follow-up in adolescents. These findings underline the key role of promoting a healthy lifestyle to improve adolescents' health.

Longitudinal patterns of lifestyle behaviours in adolescence: a latent transition analysis

The interdependence among eating behaviour (EB), physical activity (PA) and sedentary time (ST) suggests simultaneously identifying homogeneous profiles and describing their changes. This study aimed to (1) identify cross-sectional lifestyle behaviour profiles and their 2-year changes among French school-age adolescents and (2) identify factors associated with these profiles and changes. Longitudinal data from adolescents who participated in the PRomotion de l'ALIMentation et de l'Activité Physique trial were used. PA and ST were assessed with the International Physical Activity Questionnaire and EB with a FFQ. Profiles at baseline and their changes were identified by latent transition analysis. Multinomial logistic regression models were used to identify factors associated with profiles and their changes. Among 2390 adolescents included (14-18 years), five baseline profiles that differed mainly in EB were identified: 'healthy diet and high PA (7·9 %)', 'big eater and moderate to high PA (23·8 %)', 'healthy diet and low PA (31·2 %)', 'restrictive diet and moderate PA (20·6 %)' and 'sugar products, nibbling and moderate PA (16·5 %)'. Young adolescents, those who were overweight or obese and socially advantaged, were more in the 'healthy diet and low PA' than others. Boys, older and socially less advantaged adolescents exhibited more 'unfavourable' than 'mixed' changes, while adolescents with overweight or obesity had less 'unfavourable' than 'mixed' changes. In conclusion, adolescents were twice the number in the least than the most favourable profile. Findings highlighted the importance of EB among adolescents and suggest taking adolescents' sociodemographic and weight characteristics into account in interventions aimed at acting on adolescents' behaviours.

Identifying dietary patterns in Irish schoolchildren and their association with nutritional knowledge and markers of health before and after intervention

The aim of the study was to identify dietary patterns (DP) and examine differences in anthropometric measures, blood pressure (BP), cardiorespiratory fitness and nutritional knowledge of 6- and 10-year-old children at baseline and following a nutrition and physical activity intervention, with respect to DP and treatment group. This is a longitudinal study. Food diary, nutritional knowledge questionnaire and 550-m walk/run test measured dietary intake, nutritional knowledge and cardiorespiratory fitness, respectively. BP, weight, height and waist circumference were also measured and BMI and waist-to-height ratio (WHtR) were derived. All measurements were performed at baseline and following intervention. Two primary schools (one intervention, one control) in Cork, Ireland, were selected. Participants were 6- (n 39, age 5·9 (sd 0·6) years) and 10- (n 49, age 9·8 (sd 0·5) years)-year-olds. Two DP were identified, using k-means cluster analysis, for both 6- (unhealthy and nutrient-dense) and 10-year-olds (processed and Western diet) at baseline. DP derived post-intervention were (1) plant-based and (2) processed foods for 6-year-olds and (1) nutrient-dense and (2) unhealthy for 10-year-olds. There was no statistically significant difference in DP for 6- and 10-year-olds at baseline and post-intervention (P > 0·05). Following the intervention, a multivariate ANOVA showed there were no statistically significant differences in nutritional knowledge, BMI, WHtR, cardiorespiratory fitness and BP based on DP and intervention/control group for both age groups (P > 0·05). Three out of four dietary patterns identified for 6- and 10-year-olds were unfavourable. While no statistically significant evidence of intervention impact was found on DP, a positive trend was emerging among 10-year-olds.

The effect of different methods to identify, and scenarios used to address energy intake misestimation on dietary patterns derived by cluster analysis

Background

All self-reported dietary intake data are characterized by measurement error, and validation studies indicate that the estimation of energy intake (EI) is particularly affected.

Methods

Using self-reported food frequency and physical activity data from Alberta’s Tomorrow Project participants (n = 9847 men 16,241 women), we compared the revised-Goldberg and the predicted total energy expenditure methods in their ability to identify misreporters of EI. We also compared dietary patterns derived by k-means clustering under different scenarios where misreporters are included in the cluster analysis (Inclusion); excluded prior to completing the cluster analysis (ExBefore); excluded after completing the cluster analysis (ExAfter); and finally, excluded before the cluster analysis but added to the ExBefore cluster solution using the nearest neighbor method (InclusionNN).

Results

The predicted total energy expenditure method identified a significantly higher proportion of participants as EI misreporters compared to the revised-Goldberg method (50% vs. 47%, p < 0.0001). k-means cluster analysis identified 3 dietary patterns: Healthy, Meats/Pizza and Sweets/Dairy. Among both men and women, participants assigned to dietary patterns changed substantially between ExBefore and ExAfter and also between the Inclusion and InclusionNN scenarios (Hubert and Arabie’s adjusted Rand Index, Kappa and Cramer’s V statistics < 0.8).

Conclusions

Different scenarios used to account for EI misreporters influenced cluster analysis and hence the composition of the dietary patterns. Continued efforts are needed to explore and validate methods and their ability to identify and mitigate the impact of EI misestimation in nutritional epidemiology.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12937-021-00696-3.

Zapico A, Gusi N, Aznar S, Alcaraz PE, González-Valeiro M, Serra-Majem L, Terrados N, Tur JA, Segú M, Lassale C, Homs C, Oses M, González-Gross M, Sánchez-Gómez J, Jiménez-Zazo F, Marín-Cascales E, Sevilla-Sánchez M, Herrera-Ramos E, Pulgar S, Bibiloni MDM, Sancho-Moron O, Schröder H, Barón-López FJ. Screen Time and Parents' Education Level Are Associated with Poor Adherence to the Mediterranean Diet in Spanish Children and Adolescents: The PASOS Study

The aim of this study is to evaluate if screen time and parents' education levels are associated with adherence to a Mediterranean dietary pattern. This cross-sectional study analyzed a representative sample of 3333 children and adolescents (8 to 16 years) included in the Physical Activity, Sedentarism, lifestyles and Obesity in Spanish youth (PASOS) study in Spain (which ran from March 2019 to February 2020). Data on screen time (television, computer, video games, and mobile phone) per day, Mediterranean diet adherence, daily moderate or vigorous physical activity, and parents' education levels were gathered using questionnaires. A descriptive study of the variables according to sex and parents' education level was performed. Logistic regression models (adjusted by sex and weight status) were fitted to evaluate the independent association between screen time and Kids' level of adherence to the Mediterranean diet (KIDMED) index, as well as some of its items. A greater amount of screen time was associated with worse adherence to the Mediterranean diet; a lower consumption of fruit, vegetables, fish, legumes, and nuts; and a greater consumption of fast food, sweets, and candies. A lower parents' education level was associated with worse adherence to the Mediterranean diet. It is necessary to promote the responsible, limited use of screen time, especially in children with parents with a lower education level.

Lifestyle Clusters and Cardiometabolic Risks in Adolescents: A Chinese School-Based Study Using a Latent Class Analysis Approach

Background: Unhealthy dietary and lifestyle behaviors are associated with a higher prevalence of non-communicable chronic diseases and higher mortality in adults. However, there remains some uncertainty about the magnitude of the associations between lifestyle behaviors and cardiovascular factors in adolescents. Methods: We conducted a school-based cross-sectional study of 895 Chinese adolescents aged 15-19 years. They participated in a questionnaire survey, physical examination, and blood sample collection. Latent class analysis (LCA) was used to identify heterogeneous subgroups of lifestyle behaviors. A set of 12 latent class indicators, which reflected lifestyle behaviors including dietary habits, physical activity, sleep duration, screen time, and pressure perception, were included in the analysis. Logistic regression analysis was performed to determine whether the derived classes were related to a cardiometabolic risk. Results: In total, 13.7 and 5.6% of the participants were overweight and obese, respectively, and 8.4 and 14.1% reported having pre-hypertension and hypertension, respectively. A two-class model provided the best fit with a healthy lifestyle pattern (65.8%) and a sub-healthy lifestyle pattern (34.2%). There were more female participants with a healthy lifestyle (56.2 vs. 43.8%), whereas there were more males with a sub-healthy lifestyle (45.4 vs. 54.6%), (all P = 0.002). Increased risk of cardiometabolic abnormality (BMI categories, blood pressure and lipids) was not significant across lifestyle patterns, except for waist circumference (70.5 vs 69.1 cm, P = 0.044). There was no significant difference in physical activity and intake of fruit and vegetable between the two patterns. Conclusion: Primary prevention based on lifestyle modification should target patterns of behaviors at high risk in adolescents. Due to the complex effect of lifestyle clusters on cardiometabolic risks, well-designed and prospective studies in adolescents are needed in the future.

Latent Class Analysis of Lifestyle Risk Factors and Association with Overweight and/or Obesity in Children and Adolescents: Systematic Review

Background: Multiple modifiable lifestyle factors are well-known contributors to many health problems. Objectives: This study aims to determine the association between latent class analysis (LCA) of modifiable lifestyle risk factors with being overweight and/or obese for children and/or adolescents. Methods: Articles were selected from six databases, without limitation regarding language or date. The review included studies that identify latent classes of modifiable lifestyle risk factors [e.g., physical activity (PA), diet, sedentary behavior (SB), and/or unhealthy behavior] by LCA to determine the association between latent classes with being overweight and/or obese. The methodology of the selected studies was evaluated using the JBI Critical Appraisal Checklist for Analytical Cross-Sectional Studies. Owing to the heterogeneity between latent classes of modifiable lifestyle risk factors with obesity and/or being overweight, the results are described narratively. Results: Using a selection process in two phases, nine articles were included. All of the included studies were of high methodological quality. The studies were conducted in six different countries: the USA, Brazil, Canada, Portugal, Italy, and Australia. Sample sizes ranged from 166 to 18.587 children and adolescents, and in terms of age (range 5-19 years). Across study clusters characterized by low consumption of fruit and vegetables, and high consumption of fatty foods, sugar snack foods, sweets, chips and fries, low PA (<1 hour each day), and high SB (screen time and TV >2 hours/day), sleep time (<10 hours/day) were positively associated with being overweight and/or obese. Conclusion: Overall there is good evidence to support that the modifiable lifestyle risk factors clustered together by LCA should be novel targets for the treatment of obesity and its associated comorbidities.

The EnergyKids Pilot Study: Comparing Energy Balance of Primary School Children during School and Summer Camp

Children's energy requirements may vary during school and summer camp days. To evaluate energy balance during these two periods, seventy-eight children (45% females, 8-10 years) living in Parma, Italy, were enrolled in this observational study. Participants completed a 3-day food diary and wore an activity tracker for three consecutive days during a school- and a summer camp-week to estimate energy intake (EI) and energy expenditure (TEE). Height and body weight were measured at the beginning of each period to define children's weight status. BMI and EI (school: 1692 ± 265 kcal/day; summer camp: 1738 ± 262 kcal/day) were similar during both periods. Both physical activity and TEE (summer camp: 1948 ± 312; school: 1704 ± 263 kcal/day) were higher during summer camp compared to school time. Therefore, energy balance was more negative during summer camp (-209 ± 366 kcal/day) compared to school time (-12 ± 331 kcal/day). Similar results were observed when males and females were analyzed separately but, comparing the sexes, males had a higher TEE and a more negative energy balance than females, during both periods. The results strongly suggest that an accurate evaluation of children's energy balance, that considers both diet and physical activity, is needed when planning adequate diets for different situations.

Dietary Patterns and Their Association with Body Composition and Cardiometabolic Markers in Children and Adolescents: Genobox Cohort

Diet is a key factor for obesity development; however, limited data are available on dietary cluster analysis in children with obesity. We aimed to assess the associations between dietary patterns and obesity and several cardiometabolic markers. Anthropometry, bioelectrical impedance, blood pressure and plasma biomarkers of oxidative stress, inflammation and endothelial damage were determined in 674 Caucasian children, aged 5-16, with normal or excess weight. Using a food frequency questionnaire and cluster analysis, two consistent dietary patterns were shown, labeled as health conscious (HC) and sweet and processed (SP). The HC pattern included a greater proportion of participants with overweight/obesity than the SP cluster (80.1% vs. 63.8%). However, children with obesity within the HC cluster, showed less abdominal fat, through waist to hip (0.93 vs. 0.94) and waist to height (0.61 vs. 0.63) indexes (p < 0.01). Univariate general models showed several additional differences in cardiometabolic risk biomarkers in the global and stratified analyses, with a healthier profile being observed mainly in the HC cluster. However, multivariate models questioned these findings and pointed out the need for further studies in this field. Anyhow, our findings support the benefits of a healthy diet and highlight the importance of dietary patterns in the cardiometabolic risk assessment of children with overweight/obesity, beyond weight control.

Nutrient Composition of Foods Marketed to Children or Adolescents Sold in the Spanish Market: Are They Any Better?

Healthy eating is essential for the growth and development of children and adolescents. Eating habits established in childhood continue into adulthood. In Spain, the frequent promotion of foods with low nutritional value is already considered a threat to the health of the population, particularly to children and adolescents. In this work, we analyse 3209 foods from the Food Database, BADALI. Foods were classified as marketed to children or adolescents according to the advertising on the packaging, television or internet. We found that 17.5% of foods in the database were marketed to this population and 97% of those were considered unhealthy following the Pan American Health Organization Nutrient Profile Model (PAHO-NPM). In the total of foods for children or adolescents, 61.5% were high in fat, 58.5% in free-sugar, 45.4% in saturated fat and 45% in sodium. Foods marketed to them presented higher amounts of carbohydrates and sugar, while lower protein and fibre content than the rest. There was also considerable variability in levels of the other nutrients found in these products, which depended largely on the food group. According to our findings, there is a tendency for products marketed to children or adolescents to be unhealthy and of a poorer nutritional quality than those not targeted at them.

Effectiveness of Community-Based Interventions Programs in Childhood Obesity Prevention in a Spanish Population According to Different Socioeconomic School Settings

Overweight and obesity amongst childhood are currently global health issues. However, this is the best stage of life to prevent diseases and to promote healthy habits. In our study, we evaluate the effectiveness of the THAO Salud Infantil, a community-based intervention program, by means of a cross-sectional study carried out from 2009 to 2019 surveying children aged 3 to 12 years old (n = 27,686). During the study timeframe, overweight and obesity prevalence, according to both the International Obesity Task Force and Orbegozo Foundation criteria, showed a downward trend. Differences in the anthropometric variables were observed from the beginning to the end of the study, mainly in girls. Analysis of the influence of the socioeconomic status revealed that children from families with lower incomes are in greater risk of suffering from overweight and obesity and showed lower effectiveness of the actions proposed by the program. The overall results of the study confirmed the effectiveness of community-based interventions in terms of childhood overweight/obesity prevention.

Identification of dietary patterns by principal component analysis in schoolchildren in the South of Brazil and associated factors

Abstract Objectives: to identify dietary patterns (DP) and associated factors in first grade school-children in elementary schools in the South of Brazil. Methods: school-based cross-sectional study, with a non-probabilistic sample of 782 schoolchildren aged 6 to 8. Food intake was assessed by a food frequency questionnaire. DP were identified using the principal component analysis and the prevalence ratios were obtained by Poisson regression with a robust variance. Results: four DP were identified and accounted for 25.3% of the total variance: "fruit, vegetables and fish" (8.5%), "sweets and salty snacks" (7.0%), "dairy, ham and biscuits" (5.0%) and "common Brazilian food" (4.8%). After the adjustment, breakfast habit and lower frequency of meals in front of a screen increased the probability of adherence to a high consumption of DP of "fruit, vegetables and fish". The maternal schooling level was linearly and inversely associated with DP of "sweets and salty snacks" and "common Brazilian food", and positively related to the DP of "dairy, ham and biscuits". Schoolchildren with food inse-curity and sufficiently active had higher probability of adherence to DP of "common Brazilian food". Conclusions: four DP were identified and associated with food insecurity, maternal socioeconomic characteristics and schoolchildren’s behavioral characteristics.

Clustering of Dietary Patterns and Lifestyles Among Spanish Children in the EsNuPI Study †

Dietary patterns (DPs) are known to be tied to lifestyle behaviors. Understanding DPs and their relationships with lifestyle factors can help to prevent children from engaging in unhealthy dietary practices. We aimed to describe DPs in Spanish children aged 1 to <10 years and to examine their associations with sociodemographic and lifestyle variables. The consumption of toddler and young children milk formulas, enriched and fortified milk within the Spanish pediatric population is increasing, and there is a lack of evidence whether the consumption of this type of milk is causing an impact on nutrient intakes and if they are helping to reach the nutrient recommendations. Within the Nutritional Study in the Spanish Pediatric Population (EsNuPI), we considered two study cohorts and three different age groups in three year-intervals in each of them. The study cohort included 740 children in a representative sample of the urban non-vegan Spanish population and 772 children in a convenience cohort of adapted milk consumers (AMS) (including follow-on formula, toddler’s milk, growing up milk, and fortified and enriched milks) who provided information about sociodemographics, lifestyle, and dietary habits; a food frequency questionnaire was used for the latter. Principal component analysis was performed to identify DPs from 18 food groups. Food groups and sociodemographic/lifestyle variables were combined through a hierarchical cluster algorithm. Three DPs predominated in every age group and study sample: a palatable energy-dense food dietary pattern, and two Mediterranean-like DPs. However, children from the AMS showed a predominant dietary pattern markedly related to the Mediterranean diet, with high consumption of cereals, fruits and vegetables, as well as milk and dairy products. The age of children and certain lifestyle factors, namely level of physical activity, parental education, and household income, correlated closely with the dietary clusters. Thus, the findings provide insight into designing lifestyle interventions that could reverse the appearance of unhealthy DPs in the Spanish child population.

A systematic review of lifestyle patterns and their association with adiposity in children aged 5-12 years

Diet, physical activity, sedentary behaviour and sleep are typically examined independently with childhood adiposity; however, their combined influence remains uncertain. This review aims to systematically summarize evidence on the clustering of these behaviours through lifestyle patterns and evaluate associations with adiposity in children aged 5-12 years. Search strategies were run in six databases. Twenty-eight papers met the inclusion criteria, six of which included all four behaviours. A range of lifestyle patterns were identified (healthy, unhealthy and mixed). Mixed patterns were most frequently reported. Unhealthy patterns comprising low physical activity and high sedentary behaviour were also frequently observed. Mixed patterns comprising healthy diets, low physical activity and high sedentary behaviour were more commonly seen in girls, whereas boys were more physically active, similarly sedentary and had unhealthier diets. Children from lower socio-economic backgrounds tended to more frequently display unhealthy patterns. Unhealthy lifestyle patterns were more often associated with adiposity risk than healthy and mixed patterns. With few studies including all four behaviours, it is difficult to establish a clear picture of their interplay and associations with adiposity. Nonetheless, reliance on lifestyle patterns is likely more beneficial than individual behaviours in targeting adiposity and improving understanding of how these behaviours influence health.

Lower parental socioeconomic status in childhood and adolescence predicts unhealthy health behaviour patterns in adolescence in Northern Finland

OBJECTIVES

To determine the association between parental socioeconomic status in childhood and adolescence and unhealthy health behaviour patterns among adolescents in Northern Finland.

METHODS

The sample, drawn from the Northern Finland Birth Cohort 1986 Study, consisted of 15- to 16-year-old adolescents (n = 4305). Data on socioeconomic status and health behaviours were based on questionnaires collected from cohort members and their parents during the former's childhood and adolescence. Logistic regression served to assess the association.

RESULTS

Controlling for all other factors in the model, several socioeconomic factors were found to be significant predictors of unhealthy health behaviour patterns. In childhood, father's low and medium education for boys, and mother's low or medium education as well as fathers' unemployment for girls predicted greater likelihood of engaging in unhealthy behaviour patterns. For both genders, having a stay-at-home mother in childhood (and for boys also in adolescence) protected from unhealthy health behaviour patterns. For boys, mother's and for girls, fathers' low occupational education in adolescence increased the risk of developing unhealthy patterns.

CONCLUSIONS

In the development of effective health prevention strategies, it is important to identify children and adolescents who are at risk of developing lifestyle diseases.

Clustering of Sedentary Behaviours, Physical Activity, and Energy-Dense Food Intake in Six-Year-Old Children: Associations with Family Socioeconomic Status

This study examined the clustering of lifestyle behaviours in children aged six years from a prospective cohort study in the Netherlands. Additionally, we analysed the associations between socioeconomic status and the lifestyle behaviour clusters that we identified. Data of 4059 children from the Generation R Study were analysed. Socioeconomic status was measured by maternal educational level and net household income. Lifestyle behaviours including screen time, physical activity, calorie-rich snack consumption and sugar-sweetened beverages consumption were measured via a parental questionnaire. Hierarchical and non-hierarchical cluster analyses were applied. The associations between socioeconomic status and lifestyle behaviour clusters were assessed using logistic regression models. Three lifestyle clusters were identified: “relatively healthy lifestyle” cluster (n = 1444), “high screen time and physically inactive” cluster (n = 1217), and “physically active, high snacks and sugary drinks” cluster (n = 1398). Children from high educated mothers or high-income households were more likely to be allocated to the “relatively healthy lifestyle” cluster, while children from low educated mothers or from low-income households were more likely to be allocated in the “high screen time and physically inactive” cluster. Intervention development and prevention strategies may use this information to further target programs promoting healthy behaviours of children and their families.

Cluster Analysis of Physical Activity Patterns, and Relationship with Sedentary Behavior and Healthy Lifestyles in Prepubertal Children: Genobox Cohort

Sedentary habits during childhood are associated with adverse health outcomes. The aim of this work was to cluster lifestyle behaviors and metabolic biomarkers to establish different patterns in children. Their physical and sedentary activities were evaluated by accelerometry, and questionnaires that included lifestyle behaviors, such as adherence to a Mediterranean diet, anthropometry and blood biochemical markers. Cluster analysis was performed to establish different groups based on physical activity levels. A total of 489 children were finally selected. Cluster 1 included children with a mostly sedentary state, whereas Cluster 3 included the most active children and Cluster 2 included children that did not fit into either the sedentary or the highly active groups. In Cluster 3, 56% of children were in a sports club, and a lower percentage used electronic devices in their rooms compared to the other groups. Cluster 1 children exhibited higher insulin, HOMA-IR and triacylglycerides with respect to the other groups. No differences were found regarding adherence to a Mediterranean diet. The choice to practice an extracurricular sport could be an influencing factor to increase exercise and ensure an active lifestyle in children. Reducing or limiting screen time mainly in children’s rooms could contribute to an active lifestyle.

Dietary patterns are associated with obesity in Mexican schoolchildren

BACKGROUND

The prevalence of overweight and obesity in Mexican schoolchildren has increased in the past three decades. Dietary pattern approaches to assess diet have been used to study the relation between nutrition and chronic conditions.

OBJECTIVE

The objective of this study is to analyze the association between dietary patterns (DP) and overweight and obesity in Mexican schoolchildren.

METHODS

We analyzed information from schoolchildren who participated in the National Health and Nutrition Survey 2012 (ENSANUT-2012). Dietary information was obtained through a 24-h recall of 2751 children (5-11 year). Foods were classified into 33 groups, and the DPs were identified by cluster analysis (k-means method). Weight and height were measured to estimate the body mass index (BMI), by classifying overweight if the Z score was >1 and ≤2 standard deviations (SD), and obesity when the Z score was >2SD. To analyze the association, a Poisson regression model was used, adjusting by age, region, area of residence, socioeconomic status (SES), and the survey design.

RESULTS

Four DPs were identified: "Traditional", "Industrialized", "Varied", and "Modern". The "Modern" DP was associated with obesity (PR = 1.7) (p < 0.05) compared with the "Traditional" DP.

CONCLUSIONS

The "Modern" DP could be influencing the development of obesity in Mexican schoolchildren. The promotion of healthy food and public health strategies to those food groups that should be discouraged are necessary to reverse the obesity epidemic in Mexican children.

Dietary Patterns and Childhood Obesity Risk: A Systematic Review

Background: Childhood overweight and obesity are recognized as predictors of the risk of obesity in adulthood. The aim of this systematic literature review was to determine the association between dietary pattern and obesity risk among children. Methods: Articles were selected from databases (Cochrane Library, Lilacs, Eric, Livivo, and PubMed/Medline), without limitations regarding language or date. Database-specific search terms included the key words "obesity," "diet," "dietary pattern," "childhood," "children," "adolescents," and relevant synonyms. The review included studies that reported the assessment of the dietary pattern in childhood and that correlated eating patterns with the obesity risk through cluster analysis (CA) and/or factor analysis and/or principal component analysis and presented odds ratios (ORs). The methodology of the selected studies was evaluated using the JBI Critical Appraisal Checklist for Analytical Cross-Sectional Studies. Owing to the heterogeneity among the assessments of the association of dietary patterns and obesity, the results are described narratively. Results: Using a selection process in two phases, 16 articles were included. Fifteen studies used a cross-sectional design, and one case-control study. The included studies showed variation in sample size (range = 232 to 10,187 children/adolescents) and age (range = 1-19 years old). The studies reported between two and five dietary patterns each. The OR for the relationship between the dietary pattern and the risk of childhood obesity ranged from OR = 1.02; confidence interval (95% CI) (0.91-1.15) to OR = 3.55; 95% CI (1.80-7.03). In this study, the dietary patterns identified by the studies were given different names. The food intake patterns identified could, in most factor or CA studies, be categorized as (1) potentially obesogenic foods that increased risk of becoming overweight (including fatty cheeses, sugary drinks, processed foods, fast food, candies, snacks, cakes, animal products, whole milk, and refined grains) or (2) food classified as healthy with the weakest association with the risk of becoming overweight or obese (including low levels of sugar and fat and high levels of fruits, vegetables, whole grains, fish, nuts, legumes, and yogurt). Conclusion: Overall, the results indicated from most studies that a diet with a lower percentage of obesogenic foods should be effective in reducing the risk of developing obesity.

The Clustering of Low Diet Quality, Low Physical Fitness, and Unhealthy Sleep Pattern and Its Association with Changes in Cardiometabolic Risk Factors in Children

The clustering of diet quality, physical activity, and sleep and its association with cardiometabolic risk (CMR) factors remains to be explored. We included 5315 children aged 6–13 years in the analysis. CMR score (CMRS) was computed by summing Z-scores of waist circumference, an average of systolic and diastolic blood pressure, fasting glucose, high-density lipoprotein cholesterol (multiplying by −1), and triglycerides. Low diet quality and low cardiorespiratory fitness (CRF) were more likely to be seen in a pair, but low diet quality was less likely to be clustered with unhealthy sleep patterns. Low diet quality, low CRF, and unhealthy sleep pattern was associated with a 0.63, 0.53, and 0.25 standard deviation (SD) higher increase in CMRS, respectively. Compared to children with no unhealthy factor (−0.79 SD), those with ≥1 unhealthy factor had a higher increase (−0.20 to 0.59 SD) in CMRS. A low diet quality-unhealthy sleep pattern resulted in the highest increase in CMRS, blood pressure, and triglycerides. A low diet quality–low CRF-unhealthy sleep pattern resulted in the highest increase in fatness and fasting glucose. Unhealthy factor cluster patterns are complex; however, their positive associations with changes in CMR factors are consistently significant in children. Some specific patterns are more harmful than others for cardiometabolic health.

[Strengths and weaknesses of food and diet in the Spanish population of the 21st century]

Introduction

Introduction: at present, it is precisely the Mediterranean countries whose characteristic lifestyle was recognized as a health paradigm and promoted to the rest of the world, those who are at mostly at risk, in which it becomes necessary the immediate development of strategies based on education that may contribute to the adoption of a healthier diet and lifestyle. Objectives: to review the current dietary patterns in Spain, as well as its evolution in the last years. Methods: review of the studies that have been published in relation to the subject. Results: changes in the diet and lifestyle that have been introduced in recent years in Spain have led to a gradual decreased in the consumption of cereals and derivatives, potatoes and legumes, whereas an increase in the intake of meats and meat derivatives and non-alcoholic drinks has occurred. From the nutritional point of view, these trends resulted in an increase of the proportion of total fats (mainly saturated) and proteins (highly in those of animal origin) in the diet while complex carbohydrates have experienced a decrease (accompanied by a higher consumption of total sugars, including added ones). At the same time, the Spanish society should be considered as with a sedentary behavior. These facts have as one of the main negative consequences that Spain show one of the highest prevalence rates of childhood obesity in Europe, but also in adults. Conclusions: in this context, there is a need to promote the recovery of our culture (Mediterranean diet), and to return to feed and live according to patterns that have kept us protected during generations of many diseases. In fact, it should be important to try to answer the following question: If not so many years ago we had a food model that fulfilled all the recommendations of a healthy diet, which are the main barriers at present from returning to it?

Waist circumference as a prognostic index of childhood abdominal obesity: findings in the Spanish population

Introduction

Introduction: early detection of childhood obesity plays a crucial role in the prevention of diseases during adulthood. At present, the most commonly used screening tool for detecting overweight/obesity in children is the percentile for age of body mass index, although this rate is unable to provide information about fat distribution. An emerging marker of abdominal fat distribution is waist circumference (WC). Objective: the aim of this study was to evaluate the differences between the different diagnostic criteria available to define overweight and obesity in order to establish the optimal WC cut-off values for the Spanish children population. Methods: a cross-sectional study was carried out in 8,241 schoolchildren aged 3 to 12 years from Villanueva de la Cañada (Madrid, Spain). WC (cm), weight (kg) and height (cm) were measured according to the recommendations of the Society for the Advancement of Kineanthropometry (ISAK). The values obtained for the diagnostic criteria (Spanish Orbegozo Foundation (OF), the International Obesity Task Force (IOTF), and the World Health Organization (WHO) were compared using McNemar's test for paired proportions. The kappa coefficient (κ) was used to assess the degree of agreement of the three classifications. We analyzed the validity of body mass index (BMI) and WC using the receiver operating characteristic (ROC) curve analysis. The Youden index was used to determine cut-off values for WC that identify childhood obesity Results: overweight and obesity prevalences were calculated according to the OF, IOTF, and WHO criteria. There was a "substantial" agreement for the overweight and obesity categories between the Spanish criteria and IOTF (κ = 0.636), while agreement was "slight" between the Spanish criteria and those of WHO (κ = 0.198). The estimated cut-off WC criteria ranged from 54.5 to 88.0, varying according to sex and age. Conclusion: the proposed WC cut-off values, stated for the first time in a young Spanish population, are a simple and valid alternative as diagnostic criteria of abdominal obesity.

Dietary and Lifestyle Patterns in the Spanish Pediatric Population (One to <10 Years Old): Design, Protocol, and Methodology of the EsNuPI Study

The interest in a healthy diet and lifestyle during the early stages of life increased, pointing out its role in the development of noncommunicable chronic diseases throughout adult life. Dietary habits and dietary patterns begin to be established in early childhood and persist during adulthood. Therefore, the EsNuPI ("Nutritional Study in Spanish Pediatric Population") study aims to depict the dietary patterns, physical activity, and sedentary behaviors in Spanish children aged from one to <10 years old. This prospective, cross-sectional, observational study recruited a total of 1514 children from Spanish cities with >50,000 inhabitants, stratified by Nielsen areas. Participants were involved in one face-to-face survey, followed by a telephone survey after at least one week. Information about dietary intake and habits was obtained using a quantitative food frequency questionnaire and two 24-h dietary recalls. Physical activity and sedentary behaviors were registered using a specific questionnaire based on a seven-day record. Data were processed and stratified by categorical variables to be statistically analyzed in order to meet the study objectives. This study is the first of its kind in a Spanish reference population of this age range and the first to evaluate whether the consumption of adapted milk formulas and dairy products is associated with healthier dietary patterns and better diet quality and lifestyles in this group.

Updating the Food-Based Dietary Guidelines for the Spanish Population: The Spanish Society of Community Nutrition (SENC) Proposal

Diet-related risk factors and physical inactivity are among the leading risk factors for disability and are responsible for a large proportion of the burden of chronic non-communicable diseases. Food-based dietary guidelines (FBDGs) are useful tools for nutrition policies and public health strategies to promote healthier eating and physical activity. In this paper, we discuss the process followed in developing the dietary guidelines for the Spanish population by the Spanish Society of Community Nutrition (SENC) and further explain the collaboration with primary healthcare practitioners as presented in the context of the NUTRIMAD 2018 international congress of SENC. From a health in all policies approach, SENC convened a group of experts in nutrition and public health to review the evidence on diet-health, nutrient intake and food consumption in the Spanish population, as well as food preparation, determinants and impact of diet on environmental sustainability. The collaborative group drafted the document and designed the graphic icon, which was then subject to a consultation process, discussion, and qualitative evaluation. Next, a collaborative group was established to plan a dissemination strategy, involving delegates from all the primary healthcare scientific societies in Spain. A product of this collaboration was the release of an attractive, easy-to-understand publication.

Strategies to Address Misestimation of Energy Intake Based on Self-Report Dietary Consumption in Examining Associations Between Dietary Patterns and Cancer Risk

The objective of this study was to determine the influence of strategies of handling misestimation of energy intake (EI) on observed associations between dietary patterns and cancer risk. Data from Alberta's Tomorrow Project participants (n = 9,847 men and 16,241 women) were linked to the Alberta Cancer Registry. The revised-Goldberg method was used to characterize EI misestimation. Four strategies assessed the influence of EI misestimation: Retaining individuals with EI misestimation in the cluster analysis (Inclusion), excluding before (ExBefore) or after cluster analysis (ExAfter), or reassigning into ExBefore clusters using the nearest neighbor method (InclusionNN). Misestimation of EI affected approximately 50% of participants. Cluster analysis identified three patterns: Healthy, Meats/Pizza and Sweets/Dairy. Cox proportional hazard regression models assessed associations between the risk of cancer and dietary patterns. Among men, no significant associations (based on an often-used threshold of p < 0.05) between dietary patterns and cancer risk were observed. In women, significant associations were observed between the Sweets/Dairy and Meats/Pizza patterns and all cancer risk in the ExBefore (HR (95% CI): 1.28 (1.04-1.58)) and InclusionNN (HR (95% CI): 1.14 (1.00-1.30)), respectively. Thus, strategies to address misestimation of EI can influence associations between dietary patterns and disease outcomes. Identifying optimal approaches for addressing EI misestimation, for example, by leveraging biomarker-based studies could improve our ability to characterize diet-disease associations.

Impact of unhealthy childhood and unfavorable parents' characteristics on adiposity in schoolchildren

BACKGROUND

Childhood obesity is encouraged by low physical activity (PA), time spent using screens (screen time, ST), and by sugar-sweetened beverage consumption (SSBc). It is also influenced by unfavorable parents' characteristics, such as a high body mass index (BMI) and low education level (EL). Our aim was to evaluate the overall and specific influence of these factors on childhood adiposity.

MATERIAL AND METHODS

Anthropometric parameters including BMI z-score, waist circumference (WC), waist to height ratio (WtHR), and fat mass were measured in a cohort of 1702 schoolchildren (6.0-14.5 years, mean 10.7 ± 1.8) and questionnaires concerning children's PA, ST, and SSBc, and parent's BMI and EL were administered to parents.

RESULTS

Overweight/obesity prevalence was higher (P < .0001) in males (57%) than in females (43%). Less physically active children (28.9%) had a higher prevalence of overweight/obesity and higher BMI z-score, WC, WtHR, and fat mass relative to more physically active children (P < .05). PA was negatively associated with the BMI z-score (r = 0.18, P < .0001) and fat mass percentage (r = 0.18, P < .0001). Children with more ST had higher WC and WtHR than non-ST viewers (P < .05) but not BMI. Moreover, SSBc did not influence the anthropometric parameters. At multivariate analysis, male gender, less PA, and parental risk factors (parent's overweight/obesity and low/medium EL) were independently associated with overweight and obesity among childhood with a progressively increasing odds ratio (1.65, 1.40, and 1.80, respectively).

CONCLUSIONS

Male gender, behavioral risk factors (particularly low PA), and parent's characteristics are important correlates of obesity in children.