Evidence map›Paper›PMID 36868376›Full record

ArticleJournal of sport and health science2023

Recovery shape of physical activity after COVID-19 pandemic.

Piyawat Katewongsa, Dyah Anantalia Widyastari, Narumol Haemathulin, Aunyarat Khanawapee, Surasak Penmai

Open access · diamondAbstract read
In one paragraph

Article in Journal of sport and health science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Editorial: Case reports in general cardiovascular medicine: 2023.Frontiers in cardiovascular medicine · 2024
    Article
  8. 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

5 authors at 1 institution in 1 country.

Piyawat KatewongsaInstitute for Population and Social Research, Mahidol University, Salaya, Phutthamonthon, Nakhon Pathom 73170, Thailand; Thailand Physical Activity Knowledge Development Centre (TPAK), Salaya, Phutthamonthon, Nakhon Pathom 73170, Thailand.
Dyah Anantalia WidyastariInstitute for Population and Social Research, Mahidol University, Salaya, Phutthamonthon, Nakhon Pathom 73170, Thailand; Thailand Physical Activity Knowledge Development Centre (TPAK), Salaya, Phutthamonthon, Nakhon Pathom 73170, Thailand. Electronic address: dyah.ana@mahidol.edu.
Narumol HaemathulinThailand Physical Activity Knowledge Development Centre (TPAK), Salaya, Phutthamonthon, Nakhon Pathom 73170, Thailand.
Aunyarat KhanawapeeThailand Physical Activity Knowledge Development Centre (TPAK), Salaya, Phutthamonthon, Nakhon Pathom 73170, Thailand.
Surasak PenmaiThailand Physical Activity Knowledge Development Centre (TPAK), Salaya, Phutthamonthon, Nakhon Pathom 73170, Thailand.
Mahidol University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince the shutdowns associated with the coronavirus disease 2019 pandemic, there has been limited discourse on physical activity (PA) recovery (i.e., the ability of individuals to resume PA at pre-pandemic levels), including recovery rate, speed of recovery, which individuals are able to return quickly, who is left behind, and what are the causes of those differences. This study aimed to estimate the level and shape of PA recovery rate in Thailand.

methodsThis study employed 2 rounds (2020 and 2021) of Thailand's Surveillance on Physical Activity dataset for the analysis. Each round included over 6600 samples from individuals aged 18 years or older. PA was assessed subjectively. Recovery rate was calculated from the relative difference in the cumulative minutes of moderate-to-vigorous PA (MVPA) from 2 different periods.

resultsThe Thai population experienced a medium level of recession of PA (-26.1%) and a moderate level of recovery of PA (37.44%). PA recovery in the Thai population resembled an imperfect V shape, reflecting a sharp decline followed by an immediate upturn; still, recovered PA remained lower than pre-pandemic levels. The quickest recovery was found among older adults, whereas students, young adults, residents of Bangkok, the unemployed, and those who had a negative attitude toward PA experienced the highest recession of PA and were among the slowest to recover.

conclusionThe level of recovery of PA among Thai adults is largely determined by the preventive behaviors demonstrated by groups within the population who have a higher awareness of their health. The effect of the mandatory coronavirus disease 2019 containment measures on PA was temporary. However, the slower recovery rate of PA among some individuals was caused by a combination of restrictive measures and socioeconomic inequality, which required more time and effort to overcome.

Indexed as

COVID-19PandemicsAgedExerciseHumansThailandYoung AdultHealth promotionPreventive behaviorResilienceSurveillance

Identifiers

PMID36868376
PMCPMC9977470
OpenAlexW4322721399

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.