Descriptive epidemiology of changes in weight and weight-related behaviours of Australian children aged 5 years: two population-based cross-sectional studies in 2010 and 2015

Associations of Home-Based Screen Time and Its' Changes With Follow-up Body Mass Index in Chinese Preschool-Aged Children

This study aimed to explore the associations of screen time (ST) and its' changes with follow-up body mass index (BMI) in preschool children. Parents of 805 preschoolers participated in our study at baseline and were followed up after 1 year in China. Linear regression models were used to analyze the dynamic relationship between ST and BMI in preschool children. A total of 662 preschoolers, including 342 boys (51.7%) and 320 girls (48.3%) were followed up. The changes in ST (from the initial ≤1 h/day to >1 h/day at follow-up vs keep ≤1 h/d, β(SE) = 0.21(0.09), P = .016) and follow-up ST of preschool children (>1 h/d vs ≤1 h/d, β(SE) = 0.17(0.07), P = .013) were significantly associated with an increase in the preschoolers' z-scored BMI at follow-up after adjusting for potential confounding factors. We concluded that the unfavorable change in ST was associated with increased BMI in preschool children.

Nutrition Knowledge as a Driver of Adherence to the Mediterranean Diet in Italy

Background

An optimal Nutrition knowledge (NK) among the population could result in greater Adherence to the Mediterranean Diet (AMD), a recognized dietary pattern capable of preventing chronic food-related diseases. This study aimed to evaluate the association between NK and AMD in Italy.

Methods

A national representative sample of 2,869 adults took part in an assessment that was carried out through a self-administrated questionnaire including sections relating to NK and AMD. AMD was evaluated following the PREDIMED PLUS methodology. Descriptive statistics were provided, and ordinal measures of NK score and AMD were calculated based on quartiles of the quantitative scores. A contingency analysis was performed to check associations between variables.

Results

In Italy, the average NK score was 50 ± 13.3, equivalent to 56.8% of correct answers. The average value of AMD was 6.8, corresponding to 40% of the maximum score with 31.4% of the population demonstrating low AMD, 31.3% in the lower-middle range, 24% in the medium-high range, and only 13.3% reporting a high AMD. A significant association between NK and AMD was found; respondents who reported the lowest AMD corresponded to those with the lowest NK (36.7%; p < 0.05) and similarly, those with the highest level of adherence to MD also achieved the highest NK scores (41.7%; p < 0.05).

Conclusion

This study showed that AMD in Italy is generally low, and the strong association between NK and AMD demonstrated that there is a clear connection between a healthy dietary pattern and the nutrition literacy of the population. Those with the highest AMD corresponded to the highest NK and, conversely, those with the lowest AMD displayed the lowest NK. The study also highlighted that socioeconomic aspects were strong determinants of both AMD and NK.

Global Prevalence of Meeting Screen Time Guidelines Among Children 5 Years and Younger: A Systematic Review and Meta-analysis

IMPORTANCE

Pediatric guidelines suggest that infants younger than 2 years avoid screen time altogether, while children aged 2 to 5 years receive no more than 1 hour per day. Although these guidelines have been adopted around the world, substantial variability exists in adherence to the guidelines, and precise estimates are needed to inform public health and policy initiatives.

OBJECTIVE

To derive the pooled prevalence via meta-analytic methods of children younger than 2 years and children aged 2 to 5 years who are meeting guidelines about screen time.

DATA SOURCES

Searches were conducted in MEDLINE, PsycINFO, and Embase up to March 2020.

STUDY SELECTION

Studies were included if participants were 5 years and younger and the prevalence of meeting (or exceeding) screen time guidelines was reported.

DATA EXTRACTION AND SYNTHESIS

Data extraction followed Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. Two independent reviewers extracted all relevant data. Random-effects meta-analyses were used to derive the mean prevalence rates.

MAIN OUTCOMES AND MEASURES

Prevalence of meeting screen time guidelines.

RESULTS

From 63 studies, 95 nonoverlapping samples with a total of 89 163 participants were included. For children younger than 2 years, the pooled prevalence of meeting the screen time guideline (0 h/d) was 24.7% (95% CI, 19.0%-31.5%). Moderator analyses revealed that prevalence of meeting screen time guidelines varied as a function of year of data collection (increased over time), measurement method (higher when questionnaires compared with interview), and type of device use (higher when a combination of screen use activities compared with television/movies only). For children aged 2 to 5 years, the mean prevalence of meeting the screen time guideline (1 h/d) was 35.6% (95% CI, 30.6%-40.9%). Moderator analyses revealed that the prevalence of meeting screen time guidelines varied as a function of type of device use (higher when screen time was television/movies only compared with a combination of screen use activities).

CONCLUSIONS AND RELEVANCE

The findings of this meta-analysis indicate that only a minority of children 5 years and younger are meeting screen time guidelines. This highlights the need to provide support and resources to families to best fit evidence-based recommendations into their lives.

Urban and rural differences in frequency of fruit, vegetable, and soft drink consumption among 6-9-year-old children from 19 countries from the WHO European region

In order to address the paucity of evidence on the association between childhood eating habits and urbanization, this cross-sectional study describes urban-rural differences in frequency of fruit, vegetable, and soft drink consumption in 123,100 children aged 6-9 years from 19 countries participating in the fourth round (2015-2017) of the WHO European Childhood Obesity Surveillance Initiative (COSI). Children's parents/caregivers completed food-frequency questionnaires. A multivariate multilevel logistic regression analysis was performed and revealed wide variability among countries and within macroregions for all indicators. The percentage of children attending rural schools ranged from 3% in Turkey to 70% in Turkmenistan. The prevalence of less healthy eating habits was high, with between 30-80% and 30-90% children not eating fruit or vegetables daily, respectively, and up to 45% consuming soft drinks on >3 days a week. For less than one third of the countries, children attending rural schools had higher odds (OR-range: 1.1-2.1) for not eating fruit or vegetables daily or consuming soft drinks >3 days a week compared to children attending urban schools. For the remainder of the countries no significant associations were observed. Both population-based interventions and policy strategies are necessary to improve access to healthy foods and increase healthy eating behaviors among children.

Measurement of screen time among young children aged 0-6 years: A systematic review

The impact of screen-based devices on children's health and development cannot be properly understood without valid and reliable tools that measure screen time within the evolving digital landscape. This review aimed to summarize characteristics of measurement tools used to assess screen time in young children; evaluate reporting of psychometric properties; and examine time trends related to measurement and reporting of screen time. A systematic review of articles published in English across three databases from January 2009 to April 2020 was undertaken using PROSPERO protocol (registration: CRD42019132599) and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Included articles measured screen time as outcome, exposure, or confounder in children 0-6 years. The search identified 35,868 records, 1035 full-text articles were screened for eligibility, and 622 met inclusion criteria. Most measures (60%) consisted of one to three items and assessed duration of screen time on a usual day. Few measures assessed content (11%) or coviewing (7%). Only 40% of articles provided a citation for the measure, and only 69 (11%) reported psychometric properties-reliability n = 58, validity n = 19, reliability and validity n = 8. Between 2009 and 2019, the number of published articles increased from 28 to 71. From 2015, there was a notable increase in the proportion of articles published each year that assessed exposure to mobile devices in addition to television. The increasing number of published articles reflects increasing interest in screen time exposure among young children. Measures of screen time have generally evolved to reflect children's contemporary digital landscape; however, the psychometric properties of measurement tools are rarely reported. There is a need for improved measures and reporting to capture the complexity of children's screen time exposures.

Dietary inequity? A systematic scoping review of dietary intake in low socio-economic groups compared with high socio-economic groups in Australia

OBJECTIVE

Low socio-economic groups (SEG) in Australia suffer poorer diet-related health than the rest of the population. Therefore, it is expected that low SEG are less likely to consume diets conforming to Australian Dietary Guidelines (ADG) than higher SEG. However, dietary intake of low SEG in Australia has not been synthesised methodically. This systematic scoping review aims to explore detailed dietary intake of low SEG in Australia in comparison to higher SEG.

DESIGN

A systematic search of peer-reviewed literature and websites, since 1999. Data were extracted, synthesised and analysed in relation to study populations, dietary assessment methods, food groups studied, socio-economic measures and dietary intake.

SETTING

Australia.

PARTICIPANTS

Persons of any age and gender, differentiated by a socio-economic measure.

RESULTS

Results from thirty-three included studies confirmed that overall dietary nutritional value/quality tended to be lower in low SEG than higher SEG in Australia. However, findings were inconsistent across studies for all food groups or all socio-economic measures. Large variations were found between study metrics, definitions, dietary assessment methods, granularity of results and conclusions. Quantitative intakes of all ADG food groups by SEG were not reported in most studies and, where reported, were not comparable.

CONCLUSION

The review showed detailed dietary data are lacking to inform policy and practice and help develop targeted interventions to improve diet-related health of Australian low SEG. There is urgent need for regular, granular assessment of population dietary data to enable comparison of intake between SEG in the context of national food-based dietary guidelines in Australia.