Evidence map›Paper›PMID 34405879›Full record

ArticleEuropean journal of public health2021

Physical inactivity in nine European and Central Asian countries: an analysis of national population-based survey results.

Stephen Whiting, Romeu Mendes, Karim Abu-Omar, Peter Gelius, Anna Crispo, Karen McColl, Phillipa Simmonds, Natalia Fedkina, Dianne Andreasyan, Hagverdiyev Gahraman and 13 more

Open access · hybridAbstract read
In one paragraph

Article in European journal of public health, 2021. 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
1.3field-weighted citation impact, top 20% 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, 15 citations in OpenAlex.

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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

23 authors at 10 institutions in 11 countries.

Stephen WhitingWHO European Office for the Prevention and Control of Noncommunicable Diseases, Moscow, Russian Federation.ORCID 0000-0002-3652-0708
Romeu MendesWHO European Office for the Prevention and Control of Noncommunicable Diseases, Moscow, Russian Federation.
Karim Abu-OmarDepartment of Sport Science and Sport, FAU, Erlangen, Germany.
Peter GeliusDepartment of Sport Science and Sport, FAU, Erlangen, Germany.
Anna CrispoEpidemiology and Biostatistics Unit, Istituto Nazionale Tumori-IRCCS-Fondazione G. Pascale, Napoli, Italy.ORCID 0000-0002-8455-3328
Karen McCollWHO European Office for the Prevention and Control of Noncommunicable Diseases, Moscow, Russian Federation.
Phillipa SimmondsWHO European Office for the Prevention and Control of Noncommunicable Diseases, Moscow, Russian Federation.ORCID 0000-0003-3929-4934
Natalia FedkinaWHO European Office for the Prevention and Control of Noncommunicable Diseases, Moscow, Russian Federation.
Dianne AndreasyanNational Institute of Health, National Health Information Analytic Centre, National Institute of Health, Yerevan, Armenia.
Hagverdiyev GahramanPublic Health and Reforms Center of the Ministry of Health, Baku, Azerbaijan.
Tatyana MigalDepartment of Health Care Organization of the Ministry of Health, Minsk, Belarus.
Lela SturuaNational Center for Disease Control and Public Health, Tbilisi, Georgia.
Galina ObrejaDepartment of Social Medicine and Health Management, State University of Medicine and Pharmacy, Chisinau, Republic of Moldova.
Zulfinissio AbdurakhmanovaRepublican Nutrition Center, Dushanbe, Tajikistan.
Ibraeva Nurgul SaparkulovnaOrganization of Medical Care and Medicines Policy, Bishkek, Kyrgyzstan.
Toker ErguderWHO Country Office in Turkey, Ankara, Turkey.
Banu EkinciGeneral Directorate of Public Health, Ministry of Health, Ankara, Turkey.
Bekir KeskinkilicGeneral Directorate of Public Health, Ministry of Health, Ankara, Turkey.
Shukhrat ShukurovCentral Bureau for the implementation of the Health-3 project, Tashkent, Uzbekistan.
Rustam YuldashevCentral Bureau for the implementation of the Health-3 project, Tashkent, Uzbekistan.
Nino BerdzuliWHO Regional Office for Europe, Copenhagen, Denmark.
Ivo RakovacWHO European Office for the Prevention and Control of Noncommunicable Diseases, Moscow, Russian Federation.
Joao BredaWHO European Office for the Prevention and Control of Noncommunicable Diseases, Moscow, Russian Federation.
WHO European Office for the Prevention and Control of NCD · RUInterstate Commission for Water Coordination of Central Asia · UZMinistry of Health · TRIstituto Nazionale Tumori IRCCS "Fondazione G. Pascale" · ITMinistry of Health · BYMinistry of Healthcare · AZMoldova State University · MDNational Center for Disease Control and Public Health · GENational Institute of Health · AMWorld Health Organization Regional Office for Europe · DK

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundPhysical inactivity is a major risk factor for non-communicable diseases. However, recent and systematically obtained national-level data to guide policy responses are often lacking, especially in countries in Eastern Europe and Central Asia. This article describes physical inactivity patterns among adults in Armenia, Azerbaijan, Belarus, Georgia, Kyrgyzstan, Republic of Moldova, Tajikistan, Turkey and Uzbekistan.

methodsData were collected using the Global Physical Activity Questionnaire drawing nationally representative samples of adults in each country. The national prevalence of physical inactivity was calculated as well as the proportional contribution to total physical activity (PA) during work, transport and leisure-time. An adjusted logistic regression model was applied to analyze the association of age, gender, education, household status and income with physical inactivity.

resultsNational prevalence of physical inactivity ranged from 10.1% to 43.6%. The highest proportion of PA was registered during work or in the household in most countries, whereas the lowest was during leisure-time in all countries. Physical inactivity was more likely with older age in eight countries, with female gender in three countries, and with living alone in three countries. There was no clear pattern of association with education and income.

conclusionPrevalence of physical inactivity is heterogeneous across the region. PA during leisure-time contributes minimally to total PA in all countries. Policies and programs that increase opportunities for active travel and leisure-time PA, especially for older adults, women and people living alone will be an essential part of strategies to increase overall population PA.

Indexed as

Leisure ActivitiesSedentary BehaviorAgedAsiaEurope, EasternFemaleHumansPrevalence

Identifiers

PMID34405879
PMCPMC8504998
OpenAlexW3193916012

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.