Dataset Information

Developmental trends of performance monitoring measures in 7- to 25-year-olds: Unraveling the complex nature of brain measures.

ABSTRACT: This study explores how trial-to-trial latency variability contributes to the developmental trends observed in ERN amplitude found in the incorrect trials of a performance monitoring task, the visual flanker task. An Adaptive Woody filter was used to measure and correct for the trial-to-trial latency variability of the ERN in 240 participants aged 7-25 years. Using three measures of latency variability, the degree of trial-to-trial latency variability was shown to decrease as the age of the participants increased from 7 to 25 years. The success of the Adaptive Woody filter technique to remove the trial-to-trial latency variability was demonstrated in a straightforward manner by the significant changes in the measures of fit and intraindividual variability obtained before and after applying the filter. After the latency variability effects were removed and adjusted averaged ERPs were obtained, a more subtle but significant nonlinear developmental trend was still found in the amplitude of the ERN component.

SUBMITTER: Gavin WJ

PROVIDER: S-EPMC6570561 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

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Developmental trends of performance monitoring measures in 7- to 25-year-olds: Unraveling the complex nature of brain measures.

Gavin William J WJ Lin Mei-Heng MH Davies Patricia L PL

Psychophysiology 20190403 7

This study explores how trial-to-trial latency variability contributes to the developmental trends observed in ERN amplitude found in the incorrect trials of a performance monitoring task, the visual flanker task. An Adaptive Woody filter was used to measure and correct for the trial-to-trial latency variability of the ERN in 240 participants aged 7-25 years. Using three measures of latency variability, the degree of trial-to-trial latency variability was shown to decrease as the age of the part ...[more]

PMID: 30942480

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Project description:BackgroundSince the mid-1990s, excess mortality has increased markedly for adults aged 25-44 years in the north compared with the south of England. We examined the underlying causes of this excess mortality and the contribution of socioeconomic deprivation.MethodsMortality data from the Office of National Statistics for adults aged 25-44 years were aggregated and compared between England's five most northern versus five most southern government office regions between Jan 1, 1981, and Dec 31, 2016. Poisson regression models, adjusted for age and sex, were used to quantify excess mortality in the north compared with the south by underlying cause of death (accidents, alcohol related, cardiovascular disease and diabetes, drug related, suicide, cancer, and other causes). The role of socioeconomic deprivation, as measured by the 2015 Index of Multiple Deprivation, in explaining the excess and regional variability was also explored.FindingsA mortality divide between the north and south appeared in the mid-1990s and rapidly expanded thereafter for deaths attributed to accidents, alcohol misuse, and drug misuse. In the 2014-16 period, the northern excess was incidence rate ratio (IRR) 1·47 (95% CI 1·39-1·54) for cardiovascular reasons, 2·09 (1·94-2·25) for alcohol misuse, and 1·60 (1·51-1·70) for drug misuse, across both men and women aged 25-44 years. National mortality rates for cardiovascular deaths declined over the study period but a longstanding gap between north and south persisted (from 33·3 [95% CI 31·8-34·8] in 1981 to 15·0 [14·0-15·9] in 2016 in the north vs from 23·5 [22·3-24·8] to 9·9 [9·2-10·5] in the south). Between 2014 and 2016, estimated excess numbers of death in the north versus the south for those aged 25-44 years were 1881 (95% CI 726-2627) for women and 3530 (2216-4511) for men. Socioeconomic deprivation explained up to two-thirds of the excess mortality in the north (IRR for northern effect reduced from 1·15 [95% CI 1·14-1·15; unadjusted] to 1·05 [1·04-1·05; adjusted for Index of Multiple Deprivation]). By 2016, in addition to the persistent north-south gap, mortality rates in London were lower than in all other regions, with IRRs ranging from IRR 1·13 (95% CI 1·12-1·15) for the East England to 1·22 (1·20-1·24) for the North East, even after adjusting for deprivation.InterpretationSharp relative rises in deaths from cardiovascular reasons, alcohol misuse and drug misuse in the north compared with the south seem to have created new health divisions between England's regions. This gap might be due to exacerbation of existing social and health inequalities that have been experienced for many years. These divisions might suggest increasing psychological distress, despair, and risk taking among young and middle-aged adults, particularly outside of London.FundingMedical Research Council and Wellcome Trust.

Project description:BACKGROUND: Young people (18-25?years) during the adolescence/adulthood transition are vulnerable to weight gain and notoriously hard to reach. Despite increased levels of overweight/obesity in this age group, physical activity behaviour, a major contributor to obesity, is poorly understood. The purpose of this study was to explore physical activity (PA) behaviour among 18-25?year olds with influential factors including attitudes, motivators and barriers. METHODS: An explanatory mixed method study design, based on health Behaviour Change Theories was used. Those at university/college and in the community, including those Not in Education, Employment or Training (NEET) were included. An initial self reported quantitative questionnaire survey underpinned by the Theory of Planned Behaviour and Social Cognitive Theory was conducted. 1313 questionnaires were analysed. Results from this were incorporated into a qualitative phase also grounded in these theories. Seven focus groups were conducted among similar young people, varying in education and socioeconomic status. Exploratory univariate analysis was followed by multi staged modelling to analyse the quantitative data. 'Framework Analysis' was used to analyse the focus groups. RESULTS: Only 28% of 18-25?year olds achieved recommended levels of PA which decreased with age. Self-reported overweight/obesity prevalence was 22%, increasing with age, particularly in males. Based on the statistical modelling, positive attitudes toward PA were strong predictors of physical activity associated with being physically active and less sedentary. However, strong intentions to do exercise, was not associated with actual behaviour. Interactive discussions through focus groups unravelled attitudes and barriers influencing PA behaviour. Doing PA to feel good and to enjoy themselves was more important for young people than the common assumptions of 'winning' and 'pleasing others'. Further this age group saw traditional health promotion messages as 'empty' and 'fear of their future health' was not a motivating factor to change current behaviour. CONCLUSION: 18-25?year olds are a difficult group to reach and have low levels of PA. Factors such as, 'enjoyment', 'appearance 'and 'feeling good' were deemed important by this specific age group. A targeted intervention incorporating these crucial elements should be developed to improve and sustain PA levels.

Dataset Information

Developmental trends of performance monitoring measures in 7- to 25-year-olds: Unraveling the complex nature of brain measures.

Publications

Developmental trends of performance monitoring measures in 7- to 25-year-olds: Unraveling the complex nature of brain measures.

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