Evidence map›Paper›PMID 28321187›Full record

ArticleFrontiers in human neuroscience2017

Steps to Health in Cognitive Aging: Effects of Physical Activity on Spatial Attention and Executive Control in the Elderly.

Giancarlo Condello, Roberta Forte, Simone Falbo, John B Shea, Angela Di Baldassarre, Laura Capranica, Caterina Pesce

Open access · goldAbstract read
In one paragraph

Article in Frontiers in human neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Effects of Physical Activity Level on Attentional Networks in Young Adults.International journal of environmental research and public health · 2022
    Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Giancarlo CondelloSport Performance Laboratory, Department of Movement, Human and Health Sciences, Italian University of Sport and Movement "Foro Italico" Rome, Italy.
Roberta ForteExercise and Cognition Laboratory, Department of Movement, Human and Health Sciences, Italian University of Sport and Movement "Foro Italico" Rome, Italy.
Simone FalboExercise and Cognition Laboratory, Department of Movement, Human and Health Sciences, Italian University of Sport and Movement "Foro Italico" Rome, Italy.
John B SheaErgonomics Laboratory, School of Public Health, Indiana University Bloomington Bloomington, IN, USA.
Angela Di BaldassarreDepartment of Medicine and Aging Sciences, School of Medicine and Health Sciences, "G. d'Annunzio" University of Chieti-Pescara Chieti, Italy.
Laura CapranicaSport Performance Laboratory, Department of Movement, Human and Health Sciences, Italian University of Sport and Movement "Foro Italico" Rome, Italy.
Caterina PesceExercise and Cognition Laboratory, Department of Movement, Human and Health Sciences, Italian University of Sport and Movement "Foro Italico" Rome, Italy.
Foro Italico University of Rome · ITIndiana University Bloomington · USUniversity of Chieti-Pescara · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to investigate whether physical activity (PA) habits may positively impact performance of the orienting and executive control networks in community-dwelling aging individuals and diabetics, who are at risk of cognitive dysfunction. To this aim, we tested cross-sectionally whether age, ranging from late middle-age to old adulthood, and PA level independently or interactively predict different facets of the attentional performance. Hundred and thirty female and male individuals and 22 adults with type 2 diabetes aged 55-84 years were recruited and their daily PA (steps) was objectively measured by means of armband monitors. Participants performed a multifunctional attentional go/no-go reaction time (RT) task in which spatial attention was cued by means of informative direct cues of different sizes followed by compound stimuli with local and global target features. The performance efficiency of the orienting networks was estimated by computing RT differences between validly and invalidly cued trials, that of the executive control networks by computing local switch costs that are RT differences between switch and non-switch trials in mixed blocks of global and local target trials. In regression analyses performed on the data of non-diabetic elderlies, overall RTs and orienting effects resulted jointly predicted by age and steps. Age predicted overall RTs in low-active individuals, but orienting effects and response errors in high-active individuals. Switch costs were predicted by age only, with larger costs at older age. In the analysis conducted with the 22 diabetics and 22 matched non-diabetic elderlies, diabetic status and daily steps predicted longer and shorter RTs, respectively. Results suggest that high PA levels exert beneficial, but differentiated effects on processing speed and attentional networks performance in aging individuals that partially counteract the detrimental effects of advancing age and diabetic status. In conclusion, adequate levels of overall PA may positively impinge on brain efficiency and attentional control and should be therefore promoted by actions that support lifelong PA participation and impact the built environment to render it more conducive to PA.

Indexed as

active lifestyleattentional networksdiabeteslate middle-agedoldreaction time

Identifiers

PMID28321187
PMCPMC5337815
OpenAlexW2594718598

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.