RESUMEN

We examined associations between nighttime sleep and midday nap duration with all-cause mortality according to adherence to moderate-to-vigorous physical activity (MVPA) recommendations in older adults. We used data from 3518 and 3273 older adults recruited in the Seniors-ENRICA-1 and 2 cohorts, respectively. Nighttime sleep time was classified as short (< 7 h), middle (≥ 7 and < 8 h), and long (≥ 8 h), and midday napping as no nap, short (≤ 30 min), long (> 30 and ≤ 60 min), and very long (> 60 min). Time spent in MVPA was classified as meeting (i.e., ≥ 150 min/week) or not the MVPA recommendations. All-cause mortality was the main outcome. Analyses were performed with Cox regression and adjusted for the main confounders. Overall, compared with middle nighttime sleep, both short (HR 1.20; 95% CI 1.03-1.39) and long (HR 1.30; 95% CI 1.12-1.52) were associated with higher mortality. Among participants who did not meet MVPA recommendations, the association between short (HR 1.22; 95% CI 1.01-1.48) and long (HR 1.46; 95% CI 1.21-1.77) sleeping duration mortality remained. Short napping was associated with lower mortality (HR 0.83; 95% CI 0.71-0.96) and very long with higher mortality (HR 1.29; 95% CI 1.04-1.59), compared to those who did not nap. Among participants not meeting MVPA recommendations, only very long napping was associated with increased mortality (HR 1.32; 95% CI 1.01-1.73). No associations were identified between nighttime sleep or midday napping with mortality among participants meeting MVPA recommendations. Meeting MVPA recommendations can attenuate the risks associated with short or long sleep duration.

RESUMEN

BACKGROUND: Given the increasing prevalence of obesity in young people in Ecuador, there is a need to understand the factors associated with this condition. The aim of this study was to assess the prevalence of obesity in Ecuadorian children and adolescents aged 5-17 years and identify its associated sociodemographic and lifestyle factors. METHODS: This cross-sectional study was conducted using data from the Encuesta Nacional de Salud y Nutrición (ENSANUT-2018). The final sample consisted of 11,980 participants who provided full information on the variables of interest. RESULTS: The prevalence of obesity was 12.7%. A lower odd of having obesity was observed for adolescents; for those with a breadwinner with an educational level in middle/high school or higher; for each additional day with 60 or more minutes of daily moderate-to-vigorous physical activity; and for those with greater daily vegetable consumption (one, two, or three or more servings). Conversely, there were greater odds of obesity in participants from families with medium, poor, and very poor wealth and those from the coast and insular region. CONCLUSIONS: The high prevalence of obesity in Ecuadorian children and adolescents is a public health concern. Sociodemographic and lifestyle behavior differences in young people with obesity should be considered when developing specific interventions. IMPACT: As the prevalence of obesity among children and adolescents increases in Latin America, with a particular focus on Ecuador, it becomes crucial to delve into the factors linked to this condition and identify the most successful strategies for its mitigation. The elevated prevalence of obesity among young individuals in Ecuador raises significant public health concerns. To develop targeted interventions, it is crucial to account for sociodemographic variables and lifestyle behaviors that contribute to obesity in this population.

RESUMEN

Introducción y objetivos: La American Heart Association ha desarrollado el índice Life's Essential 8 (LE8) para promover la prevención de la enfermedad cardiovascular (ECV). Este estudio examinó la distribución del LE8 en la población adulta española y su asociación con la mortalidad general y por ECV.MétodosSe analizaron datos de 11.616 personas de edad≥ años (el 50,5% mujeres) del estudio ENRICA, reclutadas en 2008-2010 y seguidas hasta 2020-2022. El LE8 incluye 8 parámetros (dieta, actividad física, exposición a la nicotina, sueño, índice de masa corporal, lípidos y glucosa en sangre y presión arterial) y se puntúa de 0 a 100. La asociación entre LE8 y mortalidad se resumió mediante hazardratio obtenidas de modelos de Cox.ResultadosEl 13,2% de los participantes (del 6,1 al 16,9% según la comunidad autónoma) mostraron mala salud cardiovascular (LE8≤49). Tras una mediana de 12,9 años de seguimiento, ocurrieron 908 muertes totales y, durante una mediana de 11,8 años de seguimiento, 207 muertes por ECV. Tras ajustar por los principales factores de confusión y comparados con el cuartil más bajo (menos saludable) de LE8, los HR (IC 95%) de mortalidad general en el segundo, el tercer y el cuarto cuartil fueron, respectivamente, 0,68 (0,56-0,83), 0,63 (0,51-0,78) y 0,53 (0,39-0,72). Los resultados correspondientes a la mortalidad cardiovascular, considerando riesgos competitivos de muerte, fueron 0,62 (0,39-0,97), 0,55 (0,32-0,93) y 0,38 (0,16-0,89).ConclusionesUna proporción sustancial de los españoles mostraron mala salud cardiovascular. Una mayor puntación de LE8, desde el segundo cuartil, se asocia con menores mortalidad general y cardiovascular. (AU)

Introduction and objectives: The American Heart Association has recently developed the Life's Essential 8 (LE8) score to encourage prevention of cardiovascular disease (CVD). This study assessed the distribution of LE8 in the Spanish adult population and its association with all-cause and CVD death.MethodsWe used data from 11 616 individuals aged 18 years and older (50.5% women) from the ENRICA study, recruited between 2008 and 2010 and followed up until 2020 to 2022. The LE8 score includes 8 metrics (diet, physical activity, nicotine exposure, sleep health, body mass index, blood lipids and glucose, and blood pressure) and ranges from 0 to 100. The association of LE8 score with mortality was summarized with hazard ratios (HR), obtained from Cox regression.ResultsIn total, 13.2% of participants (range, 6.1%-16.9% across regions) had low cardiovascular health (LE8≤49). During a median follow-up of 12.9 years, 908 total deaths occurred, and, during a median follow-up of 11.8 years, 207 CVD deaths were ascertained. After adjustment for the main potential confounders and compared with being in the least healthy (lowest) quartile of LE8, the HR (95%CI) of all-cause mortality for the second, third and fourth quartiles were 0.68 (0.56-0.83), 0.63 (0.51-0.78), and 0.53 (0.39-0.72), respectively. The corresponding figures for CVD mortality, after accounting for competing mortality risks, were 0.62 (0.39-0.97), 0.55 (0.32-0.93), and 0.38 (0.16-0.89).ConclusionsA substantial proportion of the Spanish population showed low cardiovascular health. A higher LE8 score, starting from the second quartile, was associated with lower all-cause and CVD mortality. (AU)

Asunto(s)

RESUMEN

Aim: To examine the independent relationships of lifestyle and social and economic factors with all-cause and cardiovascular disease (CVD) mortality in a large representative sample of the US adult population. Furthermore, the association between the combination of lifestyle and social and economic factors with mortality was analyzed in detail. Methods: The sample included 103,314 participants with valid records and eligible for mortality follow-up, and information on lifestyle factors and social and economic disadvantages (NHIS waves 2000, 2005, 2010, and 2015). An unhealthy lifestyle score was constructed using information on physical activity, alcohol consumption, diet, and smoking status. Social and economic disadvantages were assessed using information on education, receipt of dividends, employment, family's home, and access to private health. Information on mortality data was determined by the National Death Index records. Results: Compared with favorable lifestyle, unfavorable lifestyle was associated with higher all-cause (HR 2.07; 95% CI 1.97-2.19) and CVD (HR 1.84; 95% CI 1.68-2.02) mortality. Higher social and economic disadvantages were also associated with higher all-cause (HR 2.44; 95% CI 2.30-2.59) and CVD mortality (HR 2.44; 95% CI 2.16-2.77), compared to low social and economic disadvantages. In joint associations, participants in the high social and economic disadvantage and unfavorable lifestyle showed a greater risk of all-cause (HR 4.06; 95% CI 3.69-4.47) and CVD mortality (HR 3.98; 95% CI 3.31-4.79). Conclusion: Lifestyle and social and economic disadvantages are associated with all-cause and CVD mortality. The risk of mortality increases as the number of social and economic disadvantages and unhealthy lifestyles increases.

Asunto(s)

RESUMEN

AIM: To determine the prevalence of adolescents who meet muscle-strengthening activities (MSA) recommendation and their associations with anthropometric variables, physical fitness, and lifestyle behaviours in a sample of Spanish adolescents aged 12-17 years. METHODS: This was a cross-sectional study using data from The Eating Healthy and Daily Life Activities (EHDLA) Study. Participants reported the days on which they engaged in MSA (≥3 days per week were considered to meet World Health Organization recommendation). Physical fitness was assessed with the ALPHA fitness battery. Additionally, body mass index, waist circumference, skinfolds and body fat percentage were assessed. Lifestyle variables were recreational screen time, sleep time and adherence to the Mediterranean diet. The associations between MSA and outcome variables were tested with linear and logistic regressions. RESULTS: Of the 852 participants, 48% met MSA recommendation. Meeting MSA recommendation was associated with lower adiposity and higher performance in the shuttle run test, maximal oxygen consumption, standing long jump, speed-agility, flexibility, lower screen time (in weekdays) and higher adherence to the Mediterranean diet. CONCLUSION: Engaging in MSA once or twice a week was linked with more desirable health outcomes than not engaging in such activities. However, meet with MSA recommendation (i.e., at least 3 days per week) reinforced these benefits.

Asunto(s)

RESUMEN

OBJECTIVE: To assess the association of physical activity (PA) with cause-specific cardiovascular disease (CVD) mortality among people with preexisting CVD and to analyze the relationship of PA with CVD-related mortality in people without CVD as well as the association of PA with nonspecific CVD mortality in both populations. PARTICIPANTS AND METHODS: Of the total participants in the 1997 through 2018 US National Health Interview Survey waves, 87,959 adults with CVD and 527,185 without CVD were included. Leisure-time PA was self-reported; based on frequency and duration, minutes per week in PA were calculated and subsequently classified into: (1) none: 0 min/wk, (2) insufficient: 1 to 149.9 min/wk, (3) recommended: 150 to 300 min/wk, and (4) additional: more than 300 min/wk. Mortality data were obtained through link to records from the National Death Index. Statistical analyses were performed with Cox regression adjusted for potential confounders. RESULTS: During a mean follow-up of 8.5 years, 12,893 participants with CVD, 9943 with coronary heart disease (CHD), and 843 with stroke died of CVD mortality, diseases of heart mortality, and cerebrovascular mortality, respectively. In fully adjusted models, compared with no PA, insufficient, recommended, and additional PA were associated with 25.9%, 37.1%, and 42.0% lower risk of diseases of heart mortality among people with prior CHD, respectively. Among people with stroke, recommended and additional PA was related to 30.7% and 59.3% lower risk of cerebrovascular mortality, respectively. The protective effect of PA on cause-specific CVD mortality was greater in people with CVD than in those without prior CVD. Moreover, PA was more markedly inversely associated with cause-specific CVD mortality than with nonspecific CVD mortality in people with CVD. CONCLUSION: Physical activity was strongly associated with lower risk of CVD-, CHD-, and stroke-related mortality among people with a history of these specific diseases. Health care professionals should emphasize the importance of a physically active lifestyle in patients with CVD.

Asunto(s)

RESUMEN

OBJECTIVE: To assess the association of physical activity (PA) type, volume, intensity, and changes over time with all-cause mortality in older adults. METHODS: We used data from 3518 and 3273 older adults recruited in the Seniors-ENRICA-1 and 2 cohorts. PA was assessed with the EPIC questionnaire. Participants reported how many hours they spent a week in walking, cycling, gardening, do-it-yourself (DIY), sports, and housework. Then, time at each intensity (moderate PA [MPA], vigorous PA [VPA], moderate-to-vigorous PA [MVPA] and total PA) was calculated. Changes in PA were calculated from the date of the baseline interview to Wave 1. All-cause mortality was ascertained up January 31, 2022. Analyses were performed with Cox regression models, adjusting for the main confounders. RESULTS: Walking, gardening, sports, and housework was associated with lower mortality (ranged 20%-46%). Also, MPA, VPA, MVPA was associated with lower risk of mortality (ranged 28%-53%). Analyses of PA change showed that, compared no PA participation (at baseline nor Wave 1), maintain walking, sports, and housework (ranged 28%-53%) and maintaining MPA, VPA, and MVPA (ranged 32%-36%) levels was linked to decreased mortality risk. Those who increased, maintained, or even decreased total PA had lower mortality (57%, 52%, and 36%, respectively) than those with consistently very low PA. CONCLUSIONS: The lower mortality was observed in those with a high baseline level of total PA. Maintaining PA levels such as walking, gardening, and housework, or at all analyzed intensities, was related to lower mortality.

Asunto(s)

RESUMEN

INTRODUCTION AND OBJECTIVES: The American Heart Association has recently developed the Life's Essential 8 (LE8) score to encourage prevention of cardiovascular disease (CVD). This study assessed the distribution of LE8 in the Spanish adult population and its association with all-cause and CVD death. METHODS: We used data from 11 616 individuals aged 18 years and older (50.5% women) from the ENRICA study, recruited between 2008 and 2010 and followed up until 2020 to 2022. The LE8 score includes 8 metrics (diet, physical activity, nicotine exposure, sleep health, body mass index, blood lipids and glucose, and blood pressure) and ranges from 0 to 100. The association of LE8 score with mortality was summarized with hazard ratios (HR), obtained from Cox regression. RESULTS: In total, 13.2% of participants (range, 6.1%-16.9% across regions) had low cardiovascular health (LE8 ≤ 49). During a median follow-up of 12.9 years, 908 total deaths occurred, and, during a median follow-up of 11.8 years, 207 CVD deaths were ascertained. After adjustment for the main potential confounders and compared with being in the least healthy (lowest) quartile of LE8, the HR (95%CI) of all-cause mortality for the second, third and fourth quartiles were 0.68 (0.56-0.83), 0.63 (0.51-0.78), and 0.53 (0.39-0.72), respectively. The corresponding figures for CVD mortality, after accounting for competing mortality risks, were 0.62 (0.39-0.97), 0.55 (0.32-0.93), and 0.38 (0.16-0.89). CONCLUSIONS: A substantial proportion of the Spanish population showed low cardiovascular health. A higher LE8 score, starting from the second quartile, was associated with lower all-cause and CVD mortality.

RESUMEN

OBJECTIVE: This study aimed to describe the eating habits of para-athletes who attended a specialized training center in Brazil. METHODS: Participants were recruited from the Sports Training Center at the Universidade Federal de Minas Gerais, Brazil. Energy, macronutrient (expressed in absolute terms and relative to body weight), fiber, cholesterol, and micronutrient intakes were assessed via a food frequency questionnaire, based on intakes over the preceding 12 mo. Sociodemographic factors were assessed using a purpose-designed survey, which included self-reported weight and height. Differences in nutrient intake based on sex, age, body mass index, and sporting factors were evaluated. RESULTS: A total of 30 para-athletes (in para athletics, para-powerlifting, para-swimming, and para-taekwondo) were included in the study. The median total energy intake was 4089 (2855-5829) kcal. The median consumption of carbohydrates, proteins, and fats was 512.3 (358.7-853.5), 184.5 (118.5-246.4), and 137.1 (96.8-189.5) g/d, respectively. Adolescent athletes had higher protein intakes than adult athletes (P = 0.02). Para-athletes with a longer sports career had lower consumption of fiber (P = 0.01) and thiamine (P = 0.02). Participants with a higher body mass index had higher intake of alcohol (P = 0.04) and monounsaturated fats (P = 0.01). Higher consumption of alcohol was also reported by older para-athletes (P = 0.02). CONCLUSIONS: We identified a higher saturated fat intake in male than in female para-athletes as well as higher protein intake (g/kg) in younger compared with older athletes. In addition, sociodemographic characteristics influenced the dietary intake of some para-athletes, such as length of sports career, age, and income.

Asunto(s)

RESUMEN

BACKGROUND: Considering the evident risk in the literature between the use of screen devices and sleep, there are still few studies on the relationship between each electronic screen device, media programs and sleep duration and sleep-related problems among adolescents and which variables interfere in these relationships. Therefore, this study has the following objectives: (1) to determine which are the most common electronic display devices related to sleep time and outcomes and (2) to determine which are the most common social network applications, such as Instagram and WhatsApp, associated with sleep outcomes. METHODS: This was a cross-sectional study with 1101 Spanish adolescents between 12 and 17 years old. Age, sex, sleep, psychosocial health, adherence to the Mediterranean diet (MD), sport practice, and time spent on screen devices were assessed by an ad hoc questionnaire. Linear regression analyses were applied, adjusting for several covariables. Poisson regression was applied between the sexes. A p value < 0.05 was considered statistically significant. RESULTS: Cell phone use was more associated with sleep time (13%). In boys, time spent on cell phones (prevalence ratio [PR] = 1.09; p < 0.001) and videogames (PR = 1.08; p = 0.005) had a higher prevalence ratio. When psychosocial health was included in the models, we found the greatest association (Model 2: PR = 1.15; p = 0.007). For girls, time spent on the cell phone was significantly associated with sleep-related problems (PR = 1.12; p < 0.001), and adherence to the MD became the second most important in the model (PR = 1.35; p < 0.001), followed by psychosocial health and cell phone use (PR = 1.24; p = 0.007). Time spent on WhatsApp was associated with sleep-related problems only among girls (PR = 1.31; p = 0.001) and was the most important variable in the model along with MD (PR = 1.26; p = 0.005) and psychosocial health (PR = 1.41; p < 0.001). CONCLUSIONS: Our results suggest a relationship between cell phones, video games, and social networks with sleep-related problems and time.

Asunto(s)

RESUMEN

RESUMO O objetivo deste estudo foi verificar se há associação independente e combinada dos hábitos alimentares e da aptidão cardiorrespiratória com o estado nutricional de escolares. Trata-se de um estudo de corte transversal, com 171 crianças (86 meninos e 85 meninas) com idade de seis a 12 anos, de uma escola pública de Porto Alegre-RS. Os hábitos alimentares foram avaliados com o Inquérito de Frequência Alimentar. A aptidão cardiorrespiratória foi avaliada pelo teste de corrida/caminhada de 6 minutos. O índice de massa corporal e aptidão cardiorrespiratória foram avaliados seguindo os protocolos propostos pelo PROESP-BR. Para análise dos dados utilizou-se estatística descritiva, modelos de regressão linear generalizada e anova de duas vias. Um maior consumo de frutas (β:-1,24; IC:-2,42 -0,06) e um menor consumo de doces (β:-1,56; IC:-2,797 -0,34) estão associados a um menor valor médio de IMC. Ainda, crianças com níveis adequados de APCR apresentaram valores inferiores de índice de massa corporal (β:- 3,11; IC:-3,93 -2,29). Quando avaliados de forma combinada, os hábitos alimentares e aptidão cardiorrespiratória exerceram maior influência sobre os valores de índice de massa corporal. Portanto, hábitos alimentares adequados e níveis satisfatórios de APCR estão associados a um adequado estado nutricional.

ABSTRACT The aim of this study was to verify whether there is an independent and combined association of eating habits and cardiorespiratory fitness with the nutritional status of schoolchildren. This is a cross-sectional study with 171 children (86 boys and 85 girls) aged six to 12 years, from a public school in Porto Alegre - RS. Eating habits were assessed using the Food Frequency Survey. Cardiorespiratory fitness was assessed by the 6-minute running / walking test. The body mass index and cardiorespiratory fitness were evaluated following the protocols proposed by PROESP-BR. For data analysis, descriptive statistics, generalized linear regression models and two-way anova were used. Higher consumption of fruits (β: -1.24; CI: -2.42 -0.06) and lower consumption of sweets (β: -1.56; CI: -2.797 -0.34) are associated with lower mean BMI value. Still, children with adequate levels of APCR had lower values ​​of body mass index (β: - 3.11; CI: -3.93 -2.29). When evaluated in a combined manner, eating habits and cardiorespiratory fitness had a greater influence on body mass index values. Therefore, adequate eating habits and satisfactory levels of CRP are associated with an adequate nutritional status.

Asunto(s)

RESUMEN

ABSTRACT Objective To verify the multivariate relationships between eating habits, cardiorespiratory fitness, body mass index, and cardiometabolic risk factors in children. Methods This is a cross-sectional study developed in a public elementary school with 60 first- to sixth-graders. Their eating habits were assessed using the Food Frequency Survey, weight, height, and cardiorespiratory fitness, assessed according to the Projeto Esporte Brasil protocol. Moreover, the variables, high-density lipoprotein, low-density lipoprotein, glucose, insulin, C-reactive protein, adiponectin, leptin, diastolic and systolic blood pressure were evaluated. Descriptive statistics were used for data analysis and generalized estimation equations were used for the analysis of direct and indirect relations, in a multivariate analysis model with several simultaneous outcomes. Results It appears that the eating habits and cardiorespiratory fitness explain 20% of the body mass index. Cardiometabolic risk factors are explained by the relationship between eating habits, cardiorespiratory fitness, and body mass index, according to the following percentages: 29% (systolic blood pressure), 18% (diastolic blood pressure), 63% (leptin), 4% (adiponectin), 14% (C-reactive protein), 17% (insulin), 10% (high-density lipoprotein), 1% (low-density lipoprotein), 4% (glucose). It is also observed that the effects of the eating habits on cardiometabolic risk factors are indirect, that is, they are dependent on changes in the body mass index and cardiorespiratory fitness levels. Conclusions The relationship between eating habits and cardiometabolic risk factors in children is dependent on cardiorespiratory fitness and body mass index. Thus, our findings suggest a multivariate relationship between these factors.

RESUMO Objetivo Verificar as relações multivariadas entre hábitos alimentares, aptidão cardiorrespiratória, índice de massa corporal e fatores de risco cardiometabólico em crianças. Métodos Trata-se de um estudo de corte transversal, desenvolvido com 60 crianças em uma escola pública, de ensino fundamental. Os hábitos alimentares foram avaliados por meio do Inquérito de Frequência Alimentar, peso, estatura e aptidão cardiorrespiratória, avaliados de acordo com o protocolo do Projeto Esporte Brasil. Ainda, foram avaliadas as variáveis lipoproteína de alta densidade, lipoproteína de baixa densidade, glicose, insulina, proteína C-reativa, adiponectina, leptina, pressão arterial diastólica e sistólica. Para a análise de dados, utilizou-se estatística descritiva e, para a análise das relações diretas e indiretas, equações de estimativa generalizadas, em uma modelagem de análise multivariada com diversos desfechos simultâneos. Resultados Verifica-se que os hábitos alimentares e a aptidão cardiorrespiratória explicam o índice de massa corporal em 20%. Os fatores de risco cardiometabólico são explicados pelas relações entre hábitos alimentares, aptidão cardiorrespiratória e índice de massa corporal, de acordo com os seguintes percentuais: 29% (pressão arterial sistólica), 18% (pressão arterial diastólica), 63% (leptina), 4% (adiponectina), 14% (proteína C-reativa), 17% (insulina), 10% (lipoproteína de alta densidade), 1% (lipoproteína de baixa densidade), 4% (glicose). Ainda, observa-se que os efeitos dos hábitos alimentares nos fatores de risco cardiometabólico são indiretos, isso é, são dependentes das alterações no índice de massa corporal e nos níveis aptidão cardiorrespiratória. Conclusão A relação entre os hábitos alimentares e os fatores de risco cardiometabólico em crianças é dependente da aptidão cardiorrespiratória e do índice de massa corporal, de forma que os achados deste estudo sugerem uma relação multivariada entre esses fatores.

Asunto(s)

RESUMEN

OBJECTIVE: the aim of this research was to explore the relationship between dietary pattern habits and compliance with screen-time guidelines in Spanish schoolchildren. MATERIAL AND METHODS: a cross-sectional and associative study was performed in a total of 370 schoolchildren (44.9 % girls) aged 6-13 (8.7 ± 1.8) years. RESULTS: for boys, those who did not meet these guidelines presented lower chances of eating vegetables regularly (OR = 0.50; 95 % CI = 0.28-0.89) or more than once a day (OR = 0.43; 95 % CI = 0.22-0.85). In girls, it was observed that those who did not meet the guidelines presented a lower probability of eating one piece of fruit (OR = 0.43; 95 % CI = 0.19-0.99) as well as a second piece (OR = 0.22; 95 % CI = 0.22-0.81), vegetables more than once a day (OR = 0.39; 95 % CI = 0.19-0.80), fish (at least 2-3 times/week) (OR = 0.40; 95 % CI = 0.20-0.78) and nuts (at least 2 or 3 times per week) (OR = 0.46; 95 % = 0.24-0.87). CONCLUSION: some healthy eating patterns, such as the consumption of fruits and vegetables, appeared to be more prevalent in those children who met the international screen-time guidelines

OBJETIVO: el objetivo de esta investigación fue explorar la relación entre los hábitos de alimentación y el cumplimiento de las recomendaciones de tiempo de pantalla en escolares españoles. MATERIAL Y MÉTODOS: se realizó un estudio transversal y asociativo con un total de 370 escolares (44,9 % niñas) de 6 a 13 años (8,7 ± 1,8). RESULTADOS: en los niños, aquellos que no cumplían con las recomendaciones presentaron menos probabilidades de comer verduras regularmente (OR = 0,50; IC 95 % = 0,28-0,89) y de ingerirlas más de una vez al día (OR = 0,43; IC 95 % = 0,22-0,85). En las niñas se observó que las que no cumplían las recomendaciones presentaban una menor probabilidad de comer una pieza de fruta (OR = 0,43; IC 95 % = 0,19-0,99) así como una segunda pieza (OR = 0,22; IC 95 % = 0,22-0,81), verduras más de una vez al día (OR = 0,39; IC 95 % = 0,19-0,80), pescado (al menos 2-3 veces por semana) (OR = 0,40; IC 95 % = 0,20-0,78) y frutos secos (al menos 2 o 3 veces por semana) (OR = 0,46; IC 95 % = 0,24-0,87). CONCLUSIÓN: algunos patrones de alimentación saludable, como el consumo de frutas y verduras, parecen ser más prevalentes en los niños que cumplen con las recomendaciones internacionales de tiempo de pantalla

Asunto(s)

RESUMEN

INTRODUCTION: Objective: the aim of this research was to explore the relationship between dietary pattern habits and compliance with screen-time guidelines in Spanish schoolchildren. Material and methods: a cross-sectional and associative study was performed in a total of 370 schoolchildren (44.9 % girls) aged 6-13 (8.7 ± 1.8) years. Results: for boys, those who did not meet these guidelines presented lower chances of eating vegetables regularly (OR = 0.50; 95 % CI = 0.28-0.89) or more than once a day (OR = 0.43; 95 % CI = 0.22-0.85). In girls, it was observed that those who did not meet the guidelines presented a lower probability of eating one piece of fruit (OR = 0.43; 95 % CI = 0.19-0.99) as well as a second piece (OR = 0.22; 95 % CI = 0.22-0.81), vegetables more than once a day (OR = 0.39; 95 % CI = 0.19-0.80), fish (at least 2-3 times/week) (OR = 0.40; 95 % CI = 0.20-0.78) and nuts (at least 2 or 3 times per week) (OR = 0.46; 95 % = 0.24-0.87). Conclusion: some healthy eating patterns, such as the consumption of fruits and vegetables, appeared to be more prevalent in those children who met the international screen-time guidelines.

INTRODUCCIÓN: Objetivo: el objetivo de esta investigación fue explorar la relación entre los hábitos de alimentación y el cumplimiento de las recomendaciones de tiempo de pantalla en escolares españoles. Material y métodos: se realizó un estudio transversal y asociativo con un total de 370 escolares (44,9 % niñas) de 6 a 13 años (8,7 ± 1,8). Resultados: en los niños, aquellos que no cumplían con las recomendaciones presentaron menos probabilidades de comer verduras regularmente (OR = 0,50; IC 95 % = 0,28-0,89) y de ingerirlas más de una vez al día (OR = 0,43; IC 95 % = 0,22-0,85). En las niñas se observó que las que no cumplían las recomendaciones presentaban una menor probabilidad de comer una pieza de fruta (OR = 0,43; IC 95 % = 0,19-0,99) así como una segunda pieza (OR = 0,22; IC 95 % = 0,22-0,81), verduras más de una vez al día (OR = 0,39; IC 95 % = 0,19-0,80), pescado (al menos 2-3 veces por semana) (OR = 0,40; IC 95 % = 0,20-0,78) y frutos secos (al menos 2 o 3 veces por semana) (OR = 0,46; IC 95 % = 0,24-0,87). Conclusión: algunos patrones de alimentación saludable, como el consumo de frutas y verduras, parecen ser más prevalentes en los niños que cumplen con las recomendaciones internacionales de tiempo de pantalla.

Asunto(s)