Evidence map›Paper›PMID 30416704›Full record

ArticleParkinson's disease2018

Association between Objectively Measured Physical Activity and Gait Patterns in People with Parkinson's Disease: Results from a 3-Month Monitoring.

Micaela Porta, Giuseppina Pilloni, Roberta Pili, Carlo Casula, Mauro Murgia, Giovanni Cossu, Massimiliano Pau

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Parkinson's disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 4 pooled it
1.2field-weighted citation impact, top 21% 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

9 citing papers in PubMed, 4 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Association between Daily Pattern of Physical Activity and Depression: A Systematic Review.International journal of environmental research and public health · 2022
    Pooled it
  3. Pooled it
  4. Pooled it
  5. Review
  6. Freezing of gait: overview on etiology, treatment, and future directions.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2022
    Review
  7. Article
  8. Article
  9. 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 1 country.

Micaela PortaDepartment of Mechanical, Chemical and Materials Engineering, University of Cagliari, Cagliari, Italy.
Giuseppina PilloniDepartment of Mechanical, Chemical and Materials Engineering, University of Cagliari, Cagliari, Italy.
Roberta PiliA.O.B. "G. Brotzu" General Hospital, Cagliari, Italy.
Carlo CasulaA.O.B. "G. Brotzu" General Hospital, Cagliari, Italy.
Mauro MurgiaDepartment of Life Sciences, University of Trieste, Trieste, Italy.
Giovanni CossuA.O.B. "G. Brotzu" General Hospital, Cagliari, Italy.
Massimiliano PauDepartment of Mechanical, Chemical and Materials Engineering, University of Cagliari, Cagliari, Italy.ORCID 0000-0001-9835-3629
Azienda Ospedaliera G. Brotzu · ITUniversity of Cagliari · ITUniversity of Trieste · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough physical activity (PA) is known to be beneficial in improving motor symptoms of people with Parkinson's disease (pwPD), little is known about the relationship between gait patterns and features of PA performed during daily life.

objectiveTo verify the existence of possible relationships between spatiotemporal and kinematic parameters of gait and amount/intensity of PA, both instrumentally assessed.

methodsEighteen individuals affected by PD (10F and 8M, age 68.0 ± 10.8 years, 1.5 ≤ Hoehn and Yahr (H&Y) < 3) were required to wear a triaxial accelerometer 24 h/day for 3 consecutive months. They also underwent a 3D computerized gait analysis at the beginning and end of the PA assessment period. The number of daily steps and PA intensity were calculated on the whole day, and the period from 6:00 to 24:00 was grouped into 3 time slots, using 3 different cut-point sets previously validated in the case of both pwPD and healthy older adults. 3D gait analysis provided spatiotemporal and kinematic parameters of gait, including summary indexes of quality (Gait Profile Score (GPS) and Gait Variable Score (GVS)).

resultsThe analysis of hourly trends of PA revealed the existence of two peaks located in the morning (approximately at 10) and in the early evening (between 18 and 19). However, during the morning time slot (06:00-12:00), pwPD performed significantly higher amounts of steps (4313 vs. 3437 in the 12:00-18:00 time slot,

conclusionsLong-term monitoring of PA integrated by the quantitative assessment of spatiotemporal and kinematic parameters of gait may represent a useful tool in supporting a better-targeted prescription of PA and rehabilitative treatments in pwPD.

Identifiers

PMID30416704
PMCPMC6207897
OpenAlexW2897882374

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.