Evidence map›Paper›PMID 29882851›Full record

ArticleInternational journal of environmental research and public health2018

A Cross-Sectional Examination of Physical Activity Levels and Their Socio-Demographic Determinants in Southern Tanzania.

Beverly Msambichaka, Ramadhani Abdul, Salim Abdulla, Paul Klatser, Marcel Tanner, Ramaiya Kaushik, Bettina Bringolf-Isler, Eveline Geubbels, Ikenna C Eze

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Sociodemographic Associations of Physical Activity in People of Working Age.International journal of environmental research and public health · 2019
    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

9 authors.

Beverly MsambichakaIfakara Health Institute, Kiko Avenue, Dar es Salaam P.O. Box 78373, Tanzania. msambichakabeverly@gmail.com.
Ramadhani AbdulIfakara Health Institute, Kiko Avenue, Dar es Salaam P.O. Box 78373, Tanzania. rabdul@ihi.or.tz.ORCID 0000-0003-3591-8279
Salim AbdullaIfakara Health Institute, Kiko Avenue, Dar es Salaam P.O. Box 78373, Tanzania. sabdulla@ihi.or.tz.
Paul KlatserAthena Institute, Vrije Universiteit/Free University, 1081 HV Amsterdam, The Netherlands. paulklatser@gmail.com.
Marcel TannerSwiss Tropical and Public Health Institute, Socinstrasse 57, CH-4002 Basel, Switzerland. marcel.tanner@swisstph.ch.
Ramaiya KaushikShree Hindu Mandal Hospital, Chusi St, Dar es Salaam P.O. Box 581, Tanzania. ceo@hindumandal.org.
Bettina Bringolf-IslerSwiss Tropical and Public Health Institute, Socinstrasse 57, CH-4002 Basel, Switzerland. bettina.bringolf@swisstph.ch.ORCID 0000-0003-2893-2320
Eveline GeubbelsIfakara Health Institute, Kiko Avenue, Dar es Salaam P.O. Box 78373, Tanzania. egeubbels@ihi.or.tz.ORCID 0000-0002-9702-5460
Ikenna C EzeSwiss Tropical and Public Health Institute, Socinstrasse 57, CH-4002 Basel, Switzerland. ikenna.eze@swisstph.ch.ORCID 0000-0001-9748-2162

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Physical activity is essential for healthy aging. Evidence suggests that vigorous-intensity physical activity (VPA) may be more beneficial than moderate-intensity physical activity (MPA). We examined physical activity levels (MPA, VPA and total physical activity), and their socio-demographic determinants in 2311 participants (15⁻93 years; 68% women) of the MZIMA Open Community Cohort, who had complete relevant data. Physical activity levels were estimated in minutes per week across three domains&mdash;work, leisure and transport. We created three outcome variables: low MPA (<150 min per week of MPA), low VPA (<75 min per week of VPA) and insufficient physical activity (IPA: <150 min per week of total physical activity) and applied sample-weighted multivariable logistic regression to assess associations with potential socio-demographic determinants. Prevalence of IPA, low MPA and low VPA were 25%, 26% and 65% respectively. IPA and low MPA were correlated (Spearman R = 0.98;

Indexed as

ExerciseLeisure ActivitiesSocioeconomic FactorsAdolescentAdultAgedAged, 80 and overAge FactorsCohort StudiesCross-Sectional StudiesDietFemaleHumansLogistic ModelsMaleMiddle Agedadultscross-sectional studydeterminantsleisurephysical activityTanzaniavigorous physical activity

Identifiers

PMID29882851
PMCPMC6028909

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.