Impact on adolescent mental health of replacing screen-use with exercise: A prospective cohort study

BACKGROUND: Screen-based device use could increase the risk of adolescent depression. Distinct modalities of screen-use may have differential effects on mental health. We used compositional data analysis to examine how theoretically replacing different screen-uses with exercise might influence future adolescent emotional distress. METHODS: In 4,599 adolescents (55% female) from a nationally-representative, prospective cohort, we used time-use diary data at age 14 to estimate daily screen use (television, social media, video game, general computer use) and exercise (team sport and individual exercise). The outcome was emotional distress at age 17, assessed using the emotional symptoms subscale of the Strengths and Difficulties Questionnaire. RESULTS: Theoretically replacing 60 minutes of total screen time with exercise at age 14 was associated with a 0.05 (95%CI -0.08, -0.02) score reduction on the emotional symptoms' subscale at 17 in fully-adjusted models. Replacing 60 minutes of television or social media use with team sports was associated with a reduction of 0.17 (95%CI, -0.31, -0.04) and 0.15 (95%CI, -0.29, -0.01) in emotional symptom scores, respectively. We found no change in emotional symptom scores when replacing video game or general computer use with team sport, or when replacing any screen time with individual exercise. LIMITATIONS: No direct measure of depressive symptoms at follow-up. CONCLUSIONS: Replacing any screen time with exercise could reduce emotional distress, but the largest effect sizes were associated with replacing time in television watching and social media with team sports. Recommendations to limit screen-use in adolescents may require a nuanced approach for protecting mental health

Frailty is associated with objectively assessed sedentary behaviour patterns in older adults: Evidence from the Toledo Study for Healthy Aging (TSHA)

Objective: The aim of this study was to examine the association of sedentary behaviour patterns with frailty in older people. Setting: Clinical setting. Design: Cross-sectional, observational study. Participants and measurements: A triaxial accelerometer was used in a subsample from the Toledo Study for Healthy Aging (519 participants, 67–97 years) to assess several sedentary behaviour patterns including sedentary time per day, the number and duration (min) of breaks in sedentary time per day, and the proportion of the day spent in sedentary bouts of 10 minutes or more. Frailty was assessed using the Frailty Trait Scale (FTS). Regression analysis was used to ascertain the associations between sedentary behaviour patterns and frailty. Results: Sedentary time per day and the proportion of the day spent in sedentary bouts of 10 minutes or more, were positively associated with frailty in the study sample. Conversely, the time spent in breaks in sedentary time was negatively associated with frailty. Conclusion: In summary, breaking up sedentary time and time spent in sedentary behaviour are associated with frailty in older people

Comparative study on the clinical-nutritional status of obese postmenopausal women on a weight loss programme based on prepared dishes

Comparative Study; English Abstract; Journal Article;INTRODUCTION Few studies have evaluated the efficacy and reliability of weight loss-focussed prepared food dishes in obese post-menopausal women. OBJECTIVE To compare the efficacy of a weight loss programme based on a balanced hypocaloric diet using prepared dishes* with that of a similar programme based on standard commercially available foods and with a non-intervened control group. A further aim was to evaluate the subjectivity of participants in the preparation of the diet-adjusted dishes based on usually consumed products. SUBJECTS Obese post-menopausal women aged between 55 and 65 years. DESIGN Controlled longitudinal interventional study. METHOD The sample of 75 female volunteers were divided into three groups of 25 women: a control group, who continued to consume their usual non-dietary adjusted meals (CG), an intervened group, treated with a diet adjusted to their individual requirements and based on standard commercially available food (SG), and another intervened group, treated with a similarly adjusted diet but based on prepared dishes (PG). Data were gathered on anthropometric variables, consumption habits and physical activity levels, and clinical-nutritional controls were conducted at the start and every two weeks to the end of the 8-week study in order to evaluate biochemical changes. RESULTS The weight loss was slightly higher in the prepared-dishes group (PG) than in the standard food diet group (SG), but the difference was not statistically significant, whereas it was considerably higher in both groups than in the non-dietary adjusted control group (CG) and this difference was highly significant (losses of 7.60 kg in PG and 7.01 kg in SG versus 2.10 kg in CG (p < 0.01). However, the PG showed a significantly higher (p < 0.01) loss of fatty mass and abdominal circumference versus the SG women. CONCLUSION More weight was lost by the two groups treated with a diet based on prepared dishes or usual food items in comparison to untreated controls, but the diet based on prepared dishes obtained more reliable and higher quality outcomes, achieving a positive change at fatty compartment level and in the abdominal circumference.El presente proyecto ha sido financiado por la empresa Deliline® S. A.YesIntroducción: Son escasos los estudios que hayan evaluado la eficacia y la fiabilidad de los platos de comidas preparadas* enfocadas a la pérdida de peso en la mujer posmenopáusica obesa. Objetivo: Evaluar la eficiencia de un programa de pérdida de peso basado en una ingesta hipocalórica equilibrada, a partir de platos preparados* comparando con otra basada en alimentos de consumo habitual en el mercado y con un grupo control no intervenido. En el presente estudio se pretende, además, valorar la subjetividad de la participante a la hora de preparar los platos ajustados a la dieta de restricción basada en productos de consumo habitual. Sujetos de estudio: mujeres posmenopáusicas obesas, con edad comprendida entre 55-65 años. Diseño del estudio: Estudio longitudinal de intervención y controlado. Metodología: La muestra de 75 mujeres voluntarias se divide en tres grupos de 25 mujeres; uno con alimentación habitual, sin dieta ajustada (GC), otro intervenido mediante tratamiento con una dieta ajustada a los requerimientos individuales, pero con productos de consumo habitual en mercado (GE) y un tercero intervenido con dieta ajustada del mismo modo al anterior, pero con platos preparados (GD). Se registraron datos antropométricos, hábitos de consumo y nivel de actividad física. También se realizaron controles clínico-nutricionales para evaluar cambios bioquímicos al inicio del estudio, cada 2 semanas y al final del estudio, durante 8 semanas. Resultados: El grupo basado en platos preparados GD muestra resultados de pérdida de peso ligeramente mayores, aunque no estadísticamente significativos, al grupo de dieta estándar GE, mostrando, sin embargo, ambos, descensos muy significativos respecto al grupo no ajustado GC (con una pérdida de 7,60 kg en GD, 7,01 kg en el grupo GE y 2,10 kg en GC). Sin embargo, éste grupo de mujeres alimentadas con dieta hipocalórica basada en platos preparados GD, presenta (p < 0,01) una mayor pérdida significativa, tanto de masa grasa como de perímetro abdominal. Conclusión: Las mujeres tratadas con dieta basada en platos preparados GD y las tratadas con dieta ajustada habitual GE presentan una mayor pérdida de peso, pero el grupo GD mostró unos resultados más fiables y de calidad, dado el cambio positivo encontrado a nivel de compartimento graso y en el perímetro abdominal de las participantes del grupo objeto del estudio

An umbrella review of the benefits and risks associated with youths’ interactions with electronic screens

The influence of electronic screens on the health of children and adolescents and their education is not well understood. In this prospectively registered umbrella review (PROSPERO identifier CRD42017076051), we harmonized effects from 102 meta-analyses (2,451 primary studies; 1,937,501 participants) of screen time and outcomes. In total, 43 effects from 32 meta-analyses met our criteria for statistical certainty. Meta-analyses of associations between screen use and outcomes showed small-to-moderate effects (range: r = –0.14 to 0.33). In education, results were mixed; for example, screen use was negatively associated with literacy (r = –0.14, 95% confidence interval (CI) = –0.20 to –0.09, P ≤ 0.001, k = 38, N = 18,318), but this effect was positive when parents watched with their children (r = 0.15, 95% CI = 0.02 to 0.28, P = 0.028, k = 12, N = 6,083). In health, we found evidence for several small negative associations; for example, social media was associated with depression (r = 0.12, 95% CI = 0.05 to 0.19, P ≤ 0.001, k = 12, N = 93,740). Limitations of our review include the limited number of studies for each outcome, medium-to-high risk of bias in 95 out of 102 included meta-analyses and high heterogeneity (17 out of 22 in education and 20 out of 21 in health with I2 > 50%). We recommend that caregivers and policymakers carefully weigh the evidence for potential harms and benefits of specific types of screen use

Relationship of device measured physical activity type and posture with cardiometabolic health markers: pooled dose–response associations from the Prospective Physical Activity, Sitting and Sleep Consortium

AIMS/HYPOTHESIS: The aim of this study was to examine the dose–response associations of device-measured physical activity types and postures (sitting and standing time) with cardiometabolic health. METHODS: We conducted an individual participant harmonised meta-analysis of 12,095 adults (mean ± SD age 54.5±9.6 years; female participants 54.8%) from six cohorts with thigh-worn accelerometry data from the Prospective Physical Activity, Sitting and Sleep (ProPASS) Consortium. Associations of daily walking, stair climbing, running, standing and sitting time with a composite cardiometabolic health score (based on standardised z scores) and individual cardiometabolic markers (BMI, waist circumference, triglycerides, HDL-cholesterol, HbA1c and total cholesterol) were examined cross-sectionally using generalised linear modelling and cubic splines. RESULTS: We observed more favourable composite cardiometabolic health (i.e. z score <0) with approximately 64 min/day walking (z score [95% CI] −0.14 [−0.25, −0.02]) and 5 min/day stair climbing (−0.14 [−0.24, −0.03]). We observed an equivalent magnitude of association at 2.6 h/day standing. Any amount of running was associated with better composite cardiometabolic health. We did not observe an upper limit to the magnitude of the dose–response associations for any activity type or standing. There was an inverse dose–response association between sitting time and composite cardiometabolic health that became markedly less favourable when daily durations exceeded 12.1 h/day. Associations for sitting time were no longer significant after excluding participants with prevalent CVD or medication use. The dose–response pattern was generally consistent between activity and posture types and individual cardiometabolic health markers. CONCLUSIONS/INTERPRETATION: In this first activity type-specific analysis of device-based physical activity, ~64 min/day of walking and ~5.0 min/day of stair climbing were associated with a favourable cardiometabolic risk profile. The deleterious associations of sitting time were fully attenuated after exclusion of participants with prevalent CVD and medication use. Our findings on cardiometabolic health and durations of different activities of daily living and posture may guide future interventions involving lifestyle modification

Enhancing clinical and public health interpretation of accelerometer-assessed physical activity with age-referenced values based on UK Biobank data

Purpose: Higher accelerometer-assessed volume and intensity of physical activity (PA) have been associated with a longer life expectancy but can be difficult to translate into recommended doses of PA. We aimed to: (a) improve interpretability by producing UK Biobank age-referenced centiles for PA volume and intensity; (b) inform public-health messaging by examining how adding recommended quantities of moderate and vigorous PA affect PA volume and intensity. Methods: 92,480 UK-Biobank participants aged 43-80 with wrist-worn accelerometer data were included. Average acceleration and intensity gradient were derived as proxies for PA volume and intensity. We generated sex-specific centile curves using Generalized Additive Models for Location Scale and Shape (GAMLSS) and modelled the effect of adding moderate (walking) or vigorous (running) activity on the combined change in the volume and intensity centiles (change in PA profile). Results: In men, volume was lower as age increased while intensity was lower after age 55; in women, both volume and intensity were lower as age increased. Adding 150-minutes moderate PA weekly - 5 x 30-minutes walking - increased the PA profile by 4 percentage points. Defining moderate PA as brisk walking ~doubled the increase (9 percentage points) while 75-minutes vigorous PA weekly (5 x 15-minutes running) trebled the increase (13 percentage points). Conclusion: These UK Biobank reference centiles provide a benchmark for interpretation of accelerometer data. Application of our translational methods demonstrate that meeting PA guidelines through shorter duration vigorous activity is more beneficial to the PA profile (volume and intensity) than longer duration moderate activity

Practical steps needed to achieve impact of the WHO 2019 movement behaviour guidelines for children under the age of 5 : the SUNRISE Study Europe Group evaluation

The World Health Organisation (WHO) guidelines for the ‘24-h movement behaviours’1 (physical activity (PA), sedentary behaviour (SB) including screen time, and sleep) in the under-5s were published in April 2019 (Supplementary Figure S1).2 The guidelines were developed as a response to the childhood obesity pandemic,2 to help ensure that under-5s have healthy levels of PA, screen time, and sleep. Evidence review and synthesis showed that these behaviours influenced a wide range of other outcomes, with substantial short-term and long-term consequences (e.g., cognitive, social and emotional development; language development; cardiometabolic health; bone and skeletal health; motor development; physical fitness; growth; and wellbeing).2 Five years later, it is now appropriate to test whether key actions in response to these guidelines were taken across Europe, and to consider ways of increasing the impact of the WHO Guidelines across Europe in the next 5 years. Therefore, the SUNRISE Study Europe Group considered three tests to examine if European public health policy and clinical practice were sufficiently responsive to the WHO Guidelines: (1) Do European nations have national guidelines for the movement behaviours in the under-5s or have they adopted/adapted the WHO Guidelines? (2) Do they have adequate surveillance of the movement behaviours in these age groups? (3) Do they have specific movement behaviour policies for children under-5

Reference values for wrist-worn accelerometer physical activity metrics in England children and adolescents.

Background: Over the last decade use of raw acceleration metrics to assess physical activity has increased. Metrics such as Euclidean Norm Minus One (ENMO), and Mean Amplitude Deviation (MAD) can be used to generate metrics which describe physical activity volume (average acceleration), intensity distribution (intensity gradient), and intensity of the most active periods (MX metrics) of the day. Presently, relatively little comparative data for these metrics exists in youth. To address this need, this study presents age- and sex-specific reference percentile values in England youth and compares physical activity volume and intensity profiles by age and sex. Methods: Wrist-worn accelerometer data from 10 studies involving youth aged 5 to 15 y were pooled. Weekday and weekend waking hours were first calculated for youth in school Years (Y) 1&2, Y4&5, Y6&7, and Y8&9 to determine waking hours durations by age-groups and day types. A valid waking hours day was defined as accelerometer wear for ≥ 600 min·d-1 and participants with ≥ 3 valid weekdays and ≥ 1 valid weekend day were included. Mean ENMO- and MAD-generated average acceleration, intensity gradient, and MX metrics were calculated and summarised as weighted week averages. Sex-specific smoothed percentile curves were generated for each metric using Generalized Additive Models for Location Scale and Shape. Linear mixed models examined age and sex differences. Results: The analytical sample included 1250 participants. Physical activity peaked between ages 6.5-10.5 y, depending on metric. For all metrics the highest activity levels occurred in less active participants (3rd-50th percentile) and girls, 0.5 to 1.5 y earlier than more active peers, and boys, respectively. Irrespective of metric, boys were more active than girls (p < .001) and physical activity was lowest in the Y8&9 group, particularly when compared to the Y1&2 group (p < .001). Conclusions: Percentile reference values for average acceleration, intensity gradient, and MX metrics have utility in describing age- and sex-specific values for physical activity volume and intensity in youth. There is a need to generate nationally-representative wrist-acceleration population-referenced norms for these metrics to further facilitate health-related physical activity research and promotion

Reference values for wrist-worn accelerometer physical activity metrics in England children and adolescents

Background: Over the last decade use of raw acceleration metrics to assess physical activity has increased. Metrics such as Euclidean Norm Minus One (ENMO), and Mean Amplitude Deviation (MAD) can be used to generate metrics which describe physical activity volume (average acceleration), intensity distribution (intensity gradient), and intensity of the most active periods (MX metrics) of the day. Presently, relatively little comparative data for these metrics exists in youth. To address this need, this study presents age- and sex-specific reference percentile values in England youth and compares physical activity volume and intensity profiles by age and sex. Methods: Wrist-worn accelerometer data from 10 studies involving youth aged 5 to 15 y were pooled. Weekday and weekend waking hours were first calculated for youth in school Years (Y) 1&2, Y4&5, Y6&7, and Y8&9 to determine waking hours durations by age-groups and day types. A valid waking hours day was defined as accelerometer wear for ≥ 600 min·d−1 and participants with ≥ 3 valid weekdays and ≥ 1 valid weekend day were included. Mean ENMO- and MAD-generated average acceleration, intensity gradient, and MX metrics were calculated and summarised as weighted week averages. Sex-specific smoothed percentile curves were generated for each metric using Generalized Additive Models for Location Scale and Shape. Linear mixed models examined age and sex differences. Results: The analytical sample included 1250 participants. Physical activity peaked between ages 6.5–10.5 y, depending on metric. For all metrics the highest activity levels occurred in less active participants (3rd-50th percentile) and girls, 0.5 to 1.5 y earlier than more active peers, and boys, respectively. Irrespective of metric, boys were more active than girls (p < .001) and physical activity was lowest in the Y8&9 group, particularly when compared to the Y1&2 group (p < .001). Conclusions: Percentile reference values for average acceleration, intensity gradient, and MX metrics have utility in describing age- and sex-specific values for physical activity volume and intensity in youth. There is a need to generate nationally-representative wrist-acceleration population-referenced norms for these metrics to further facilitate health-related physical activity research and promotion