the aim of this study was to retrospectively operationalise the World Guidelines for Falls Prevention and Management (WGFPM) falls risk stratification algorithm using data from The Irish Longitudinal Study on Ageing (TILDA). We described how easy the algorithm was to operationalise in TILDA and determined its utility in predicting falls in this population.
participants aged ≥50 years were stratified as \'low risk\', \'intermediate\' or \'high risk\' as per WGFPM stratification based on their Wave 1 TILDA assessments. Groups were compared for number of falls, number of people who experienced one or more falls and number of people who experienced an injury when falling between Wave 1 and Wave 2 (approximately 2 years).
5,882 participants were included in the study; 4,521, 42 and 1,309 were classified as low, intermediate and high risk, respectively, and 10 participants could not be categorised due to missing data. At Wave 2, 17.4%, 43.8% and 40.5% of low-, intermediate- and high-risk groups reported having fallen, and 7.1%, 18.8% and 18.7%, respectively, reported having sustained an injury from falling.
the implementation of the WGFPM risk assessment algorithm was feasible in TILDA and successfully differentiated those at greater risk of falling. The high number of participants classified in the low-risk group and lack of differences between the intermediate and high-risk groups may be related to the non-clinical nature of the TILDA sample, and further study in other samples is warranted.

Establishing healthy dietary habits during adolescence and young adulthood is critical for long-term health.
This study assessed the prevalence of meeting US Dietary Guidelines and trajectories in dietary intake for 4 MyPlate food groups during the transition from adolescence to young adulthood.
Three waves of surveys and food frequency questionnaires were collected as part of Project EAT (Eating and Activity in Teens and Young Adults), a 15-y longitudinal study. Adolescents (n = 1177, 57% female, mean ± SD age 15.0 ± 1.5 y) were recruited in 1998-1999 in Minneapolis-St Paul, Minnesota public schools and were resurveyed twice in young adulthood at mean ± SD ages 25.3 ± 1.5 and 31.1 ± 1.5 y. The prevalence of meeting guidelines for each MyPlate food group was calculated at each time point. Mean daily servings were compared over 5 y in young adulthood through the use of paired t tests. Adjusted least-squares means were calculated to compare dietary intake in young adulthood across quartiles of adolescent intake.
Adolescents had the highest prevalence of meeting dietary guidelines for fruit (37% for females and 30% for males) and dairy (53% for females and 61% for males); young adults >30 y had the highest prevalence of meeting dietary guidelines for vegetables (19% for females and 8% for males) and whole grains (23% for females and 17% for males). From the mid-twenties to early thirties, vegetable intake increased, whereas dairy intake decreased. Dietary intake generally tracked over time with individuals in the lower quartiles of intake at adolescence generally continuing to have low intake in young adulthood.
Although the prevalence of meeting dietary guidelines for whole grains and vegetables, and daily servings of vegetables increased with age, improving intake of whole fruit, whole grains, dairy, and vegetables remains key during the transition from adolescence to young adulthood.

BACKGROUND: Research involving brain imaging is important for understanding common brain diseases. Study endpoints can include features and measures derived from imaging modalities, providing a benchmark against which other phenotypical data can be assessed. In trials, imaging data provide objective evidence of beneficial and adverse outcomes. Multi-centre studies increase generalisability and statistical power. However, there is a lack of practical guidelines for the set-up and conduct of large neuroimaging studies.
METHODS: We address this deficit by describing aspects of study design and other essential practical considerations that will help researchers avoid common pitfalls and data loss.
RESULTS: The recommendations are grouped into seven categories: (1) planning, (2) defining the imaging endpoints, developing an imaging manual and managing the workflow, (3) performing a dummy run and testing the analysis methods, (4) acquiring the scans, (5) anonymising and transferring the data, (6) monitoring quality, and (7) using structured data and sharing data.
CONCLUSIONS: Implementing these steps will lead to valuable and usable data and help to avoid imaging data wastage.

Little is known about the longitudinal association of familial socio-demographic factors, behaviours, attitudes, or home environment with meeting physical activity guidelines. Our objective was to a) describe 4-year change in the prevalence of meeting guidelines, and characteristics of participants across categories of physical activity maintenance, and b) identify familial factors in childhood that are longitudinally associated with meeting guidelines in adolescence. Data on 17 parent- and child-reported family variables and objectively measured physical activity (ActiGraph GT1M) were available from 406 children (10.3 ± 0.3 years, 53.5% female) participating in the SPEEDY study. Average duration of week- and weekend day moderate-to-vigorous physical activity (MVPA, ≥ 2000 cpm) at baseline and follow-up (14.3 ± 0.3 years) were calculated to determine whether participants met 60 min MVPA/day guidelines at each assessment. Descriptives were calculated across four MVPA change categories. Multi-level logistic regression examined the association of baseline familial factors with meeting guidelines at follow-up, adjusting for sex, baseline physical activity, family socio-economic position, and school clustering. At follow-up, 51.5% and 36.1% of adolescents met guidelines on weekdays and weekend days, respectively (baseline: 68.0%, 67.2%). Girls were less likely than boys to remain sufficiently active, particularly on weekdays. Family social support was positively associated with adolescents meeting guidelines at weekends (OR 1.2; 95% CI 1.0-1.4). The presence of play equipment at home was negatively associated with meeting guidelines on weekdays (OR 0.5; 95% CI 0.3-0.8). Interventions that foster parent\'s facilitation of physical activity may help to encourage the upkeep of healthy behaviours during the transition from childhood to adolescence.

While cognitive impairments are prevalent in first-episode psychosis, the course of these deficits is not fully understood. Most deficits appear to remain stable, however there is uncertainty regarding the trajectory of specific cognitive domains after illness onset. This study investigates the longitudinal course of cognitive deficits four years after a first-episode of psychosis and the relationship of performance with clinical course and response to treatment. Twenty three individuals with psychotic illness, matched with 21 healthy volunteers, were assessed using the MATRICS Consensus Cognitive Battery at illness onset and 4 years later. We also investigated the relationship between cognitive deficits and quality of life and clinical indices. Verbal learning and two measures of processing speed had marked poorer trajectory over four years compared to the remaining cognitive domains. Processing speed performance was found to contribute to the cognitive deficits in psychosis. Poorer clinical outcome was associated with greater deficits at illness onset in reasoning and problem solving and social cognition. Cognitive deficits did not predict quality of life at follow-up, nor did diagnosis subtype differentiate cognitive performance. In conclusion, an initial psychotic episode may be associated with an additional cost on verbal learning and two measures of processing speed over a time spanning at least four years. Moreover, processing speed, which has been manipulated through intervention in previous studies, may represent a viable therapeutic target. Finally, cognition at illness onset may have a predictive capability of illness course.