Time use clusters of New Zealand adolescents are associated with weight status, diet and ethnicity

Obesity researches in youth: A scientometrics study in Middle East countries

Background

The alarming trends of obesity/overweight in youth have been interested policy makers and other stakeholders to exact follow and analysis of related scientific evidence. The present paper quantify the trends of outputs of youth obesity/overweight researches in Middle East countries.

Materials and Methods

The Scopus database systematically searched as the most comprehensive multidisciplinary database, for all related obesity/overweight that focused on youth age groups concerns, from 2000 to 2017. These scientometrics analysis included the trends of scientific products, citations, and other scientometric index in Middle East countries.

Results

During 2000-2017, in the field of youth obesity, 2350 papers published (0.40% of total 591,105 indexed paper of this region) by Middle East countries. In this regard, Iran with 574 publication (24.43%) had the first rank. After that Turkey and Saudi Arabia, respectively, with 489 (20.81%) and 313 (13.32%) papers, had the next ranks. Over 18-year period, based on the findings all of Eastern Mediterranean countries follow the progressive plans for topics related to youth obesity. Between them, Iran and Turkey have significant growth rates (0.77% and 0.40%, respectively). Scientometric indicators such as "number of published papers," "number of citations" confirmed that during the 2000-2017 the P-trends of total number of related published papers and the correspond citations, in region countries, were significant (2168 papers and 34,132 citations, P < 0.001).

Conclusion

Most of countries at global and regional levels follow ascending trends in publications and citations in obesity/overweight fields. Iran's position has grown significantly among them. Maintaining and promoting this position requires careful planning and special attention. The findings also could be used for better health policy and complementary researches.

Identifying patterns of movement behaviours in relation to depressive symptoms during adolescence: A latent profile analysis approach

Movement behaviour guideline adherence has been associated with lower depressive symptoms during adolescence, yet no studies have used person-centered approaches to examine this relationship. The purpose of the present study was to identify whether unique adolescent movement behaviour profiles exist, evaluate predictors of profile membership, and determine whether profile membership was associated with differences in depressive symptoms cross sectionally and longitudinally. This study involved secondary analysis of the public-use data from Wave 1 and Wave 2 of the National Study of Adolescent Health. Adolescents (N = 6436; 48% male) in grades 7 to 12 (M_age = 16.03 ± 1.75) completed measures to assess moderate-to-vigorous physical activity (MVPA), recreational screen time (ST), and sleep - collectively known as movement behaviours - and depressive symptoms. Latent profile analysis identified four profiles that had similar sleep patterns and were thus characterized by different levels of MVPA and ST: high MVPA/low ST (29%), high MVPA/high ST (4%), low MVPA/low ST (53%), and low MVPA/high ST (14%). Several socio-demographic variables were found to influence profile membership. After adjusting for covariates, findings revealed depressive symptoms were lowest among the high MVPA/low ST profile and this trend was evident one year later. Engaging in high levels of either MVPA or ST alone did not provide additive benefits for depressive symptoms compared to those who engaged in low levels of both MVPA and ST. These findings suggest intervention efforts should take an integrative approach to improve mental health outcomes among adolescents by considering each of the movement behaviours concurrently.

Typologies of adolescent activity related health behaviours

OBJECTIVES

To identify typologies of activity-related behaviours and demographic characteristics of these typologies among Australian adolescents.

DESIGN

Cross-sectional study of 473 Secondary School students (41.4% boys, mean age 14.95±1.61 years) conducted in 2014-15.

METHODS

Active travel to school, sport participation, leisure-time sedentary and demographic variables were self-reported in a survey. Duration of sedentary time and moderate-to-vigorous physical activity (mins/day) were accelerometer-derived. Latent class analysis (LCA) was conducted to identify typologies of activity-related health behaviours. One-way ANOVAs and chi-square tests were used to explore differences by demographic characteristics.

RESULTS

Three typologies were identified: (1) "Physically inactive, highly sedentary" (44%); (2) "Moderately active, high screen-time" (42%); and (3) "Highly active, low sedentary" (14%). Differences between typologies were evident for age, sex, body mass index (BMI), cultural identity, employment status and socioeconomic position (SEP). Those in typology 3 (optimal behaviour pattern) tended to be younger, of higher SEP and lower BMI.

CONCLUSIONS

This study found that older adolescents have less active, more sedentary profiles than younger adolescents. The findings support the need for targeted interventions to improve adolescent activity-related behaviour engagement.

Relationships between adolescent body mass index, physical activity, and sensory-processing patterns: Relations entre l'indice de masse corporelle, l'activité physique et les schèmes d'intégration sensorielle des adolescents

BACKGROUND

Trends show a significant decline with adolescent physical activity (PA). Knowledge regarding how sensory-processing patterns and body mass index (BMI) relate to adolescents' PA participation is scarce.

PURPOSE

This study investigated if relationships exist between adolescent BMI, sensory processing, and PA participation.

METHOD

This correlational study collected data from 141 adolescents who completed the Adolescent/Adult Sensory Profile and the Physical Activity Questionnaire-Adolescent. Their BMIs were calculated using self-reported age, height, and weight. The data were analyzed using descriptive statistics and two-tailed Spearman's rank correlation coefficients.

FINDINGS

Adolescents with different sensory-processing patterns reported participation in both similar and distinct PAs. Participation in PA and BMI shared no significant correlation. Sensory sensitivity and BMI total ( r_s = -.171, p = .044) and BMI percentile ( r_s = -.191, p = .024) demonstrated significant correlations. Analysis revealed a correlation between sensory seeking patterns and PA ( r_s = .224, p = .008) as well as correlations among sensory quadrants and participation in specific PAs.

IMPLICATIONS

Occupational therapists should consider an adolescent's sensory preferences when recommending PA interventions.

Health associations with meeting new 24-hour movement guidelines for Canadian children and youth

The study objective was to examine whether meeting the new Canadian 24-hour movement guidelines was associated with health indicators in a representative sample of Canadian children and youth. Cross-sectional findings are based on 4157 (1239 fasting subsample) children and youth aged 6-17years from cycles 1-3 of the Canadian Health Measures Survey (CHMS). Sleep and screen time were subjectively measured while moderate- to vigorous-intensity physical activity (MVPA) was accelerometer-determined. Health indicators in the full sample (body mass index (BMI) z-scores, waist circumference, blood pressure, behavioral strengths and difficulties score (lower=better), and aerobic fitness) and fasting subsample (triglycerides, high-density lipoprotein (HDL)-cholesterol, C-reactive protein, and insulin) were measured. Meeting the overall guidelines was defined as: 9-11 hour/night (5-13years) or 8-10 hour/day (14-17years) of sleep, ≤2 hour/day of screen time, and ≥60 minute/day of MVPA. Compared to meeting all three recommendations, meeting none, one, and two recommendations were associated with a higher BMI z-score, waist circumference, and behavioral strengths and difficulties score and lower aerobic fitness in a gradient pattern (P_trend<0.05). Additionally, compared to meeting all three recommendations, meeting none and one recommendation were associated with higher systolic blood pressure and insulin (P_trend<0.05). Finally, compared to meeting all three recommendations, meeting no recommendations was associated with higher triglycerides and lower HDL-cholesterol (P_trend<0.05). Collectively, meeting more recommendations within the 24-hour movement guidelines was associated with better overall health. Since a small proportion (17%) of this representative sample was meeting the overall guidelines, efforts to promote adoption are needed.

Interactions between sleep, movement and other non-movement behaviours in the pathogenesis of childhood obesity

Research examining the health effects of physical activity, sedentary behaviour and sleep on different health outcomes has largely been conducted independently or in isolation of the other behaviours. However, the fact that time is finite (i.e. 24 h) suggests that the debate on whether or not the influence of a single behaviour is independent of another one is conceptually incorrect. Time spent in one behaviour should naturally depend on the composition of the rest of the day. Recent evidence using more appropriate analytical approaches to deal with this methodological issue shows that the combination of sleep, movement and non-movement behaviours matters and all components of the 24-h movement continuum should be targeted to enhance health and prevent childhood obesity. The objective of this review is to discuss research investigating how combinations of physical activity, sedentary behaviour and sleep are related to childhood obesity. Emerging statistical approaches (e.g. compositional data analysis) that can provide a good understanding of the best 'cocktail' of behaviours associated with lower adiposity and improved health are also discussed. Finally, future research directions are provided. Collectively, it becomes clearer that guidelines and public health interventions should target all movement behaviours synergistically to optimize health of children and youth around the world.

A Scoping Review of Observational Studies Examining Relationships between Environmental Behaviors and Health Behaviors

Individual lifestyles are key drivers of both environmental change and chronic disease. We undertook a scoping review of peer-reviewed studies which examined associations between environmental and health behaviors of individuals in high-income countries. We searched EconLit, Medline, BIOSIS and the Social Science Citation Index. A total of 136 studies were included. The majority were USA-based cross-sectional studies using self-reported measures. Most of the evidence related to travel behavior, particularly active travel (walking and cycling) and physical activity (92 studies) or sedentary behaviors (19 studies). Associations of public transport use with physical activity were examined in 18 studies, and with sedentary behavior in one study. Four studies examined associations between car use and physical activity. A small number included other environmental behaviors (food-related behaviors (n = 14), including organic food, locally-sourced food and plate waste) and other health behaviors ((n = 20) smoking, dietary intake, alcohol). These results suggest that research on individual environmental and health behaviors consists largely of studies examining associations between travel mode and levels of physical activity. There appears to be less research on associations between other behaviors with environmental and health impacts, and very few longitudinal studies in any domain.

What can be learned from adolescent time diary research

Time use is increasingly being recognized as a determinant and indicator of adolescent well-being internationally. Three existing literature reviews of time-use research with children and adolescents have identified time-use diaries as the preferred data collection method. Furthermore, they have encouraged researchers to examine multidimensional patterns of overall time use in large-sample whole child populations to better understand the health, well-being, and quality of life of children and young people. However, these three existing reviews differ in the time frames covered; the age ranges targeted; the categories of time use examined; and the time-use data collection and analysis methods used. This study aimed to map the extent and nature of time diary studies with well adolescents (aged 10-19 years) and the use of person-centered data analysis of overall time use as a multidimensional unit. Finally, it explores whether and how the included studies analyzed the relationship between time use and health, well-being, and quality of life. A scoping review method was employed using Arksey and O'Malley's five-step framework. Thirty-three studies met the inclusion criteria. Most studies were secondary analyses of cross-sectional population-level time-use or lifestyle survey data. One-third of studies (n = 11) captured data representing 24 hours of the day. Two studies (6%) used person-centered analyses, while six studies (18%) empirically examined time use in relation to health and well-being. No studies examined adolescent 24-hour time use and quality of life. Adolescent time-use researchers are encouraged to be explicit in identifying the stage of adolescence to which their studies relate; capture 24-hour time-use data; analyze overall activity patterns as multidimensional units using person-centered methods; and use robust, reliable, valid, sensitive, and age-appropriate instruments to empirically examine time use and health, well-being, and quality of life. Through this, healthy patterns of everyday activity for adolescents can be illuminated.

A person-centred analysis of the time-use, daily activities and health-related quality of life of Irish school-going late adolescents

PURPOSE

The health, well-being and quality of life of the world's 1.2 billion adolescents are global priorities. A focus on their patterns or profiles of time-use and how these relate to health-related quality of life (HRQoL) may help to enhance their well-being and address the increasing burden of non-communicable diseases in adulthood. This study sought to establish whether distinct profiles of adolescent 24-h time-use exist and to examine the relationship of any identified profiles to self-reported HRQoL.

METHOD

This cross-sectional study gathered data from a random sample of 731 adolescents (response rate 52%) from 28 schools (response rate 76%) across Cork city and county. A person-centred approach, latent profile analysis, was used to examine adolescent 24-h time-use and relate the identified profiles to HRQoL.

RESULTS

Three male profiles emerged, namely productive, high leisure and all-rounder. Two female profiles, higher study/lower leisure and moderate study/higher leisure, were identified. The quantitative and qualitative differences in male and female profiles support the gendered nature of adolescent time-use. No unifying trends emerged in the analysis of probable responses in the HRQoL domains across profiles. Females in the moderate study/higher leisure group were twice as likely to have above-average global HRQoL.

CONCLUSION

Distinct time-use profiles can be identified amongst adolescents, but their relationship with HRQoL is complex. Rich mixed-method research is required to illuminate our understanding of how quantities and qualities of time-use shape lifestyle patterns and how these can enhance the HRQoL of adolescents in the twenty-first century.

No time for the gym? Housework and other non-labor market time use patterns are associated with meeting physical activity recommendations among adults in full-time, sedentary jobs

Physical activity and inactivity have distinct cardio-metabolic consequences, suggesting that combinations of activities can impact health above and beyond the effects of a single activity. However, little work has examined patterns of non-labor market time activity in the US population, particularly among full-time employees in sedentary occupations, who are at increased risk of adverse health consequences associated with a sedentary lifestyle. Identification of these patterns, and how they are related to total physical activity levels, is important for developing effective, attainable physical activity recommendations among sedentary employees, who typically have less time available for exercise. This is especially the case for low-income employees who face the highest time and financial barriers to achieving physical activity goals. This study uses cluster analysis to examine patterns of non-labor market time use among full-time (≥40 h/week) employed adults in sedentary occupations (<3 MET-h) on working days in the American Time Use Study. We then examine whether these patterns are associated with higher likelihood of meeting physical activity recommendations and higher overall physical activity (MET-h). We find that non-labor market time use patterns include those characterized by screen activities, housework, caregiving, sedentary leisure, and exercise. For both genders, the screen pattern was the most common and increased from 2003 to 2012, while the exercise pattern was infrequent and consistent across time. Screen, sedentary leisure, and community patterns were associated with lower likelihoods of meeting physical activity recommendations, suggesting that interventions targeting screen time may miss opportunities to improve physical activity among similarly sedentary groups. Alternately, non-labor market time use patterns characterized by housework and caregiving represented feasible avenues for increasing overall physical activity levels, especially for those with low financial and time resources. Consideration of non-labor market time use patterns may improve strategies to increase physical activity and decrease inactivity among full-time employed adults in sedentary jobs.