Evidence map›Paper›PMID 24138966›Full record

ArticleBMC public health2013

Tobacco use in older adults in Ghana: sociodemographic characteristics, health risks and subjective wellbeing.

Alfred E Yawson, Akosua Baddoo, Nana Ayegua Hagan-Seneadza, Benedict Calys-Tagoe, Sandra Hewlett, Phyllis Dako-Gyeke, George Mensah, Nadia Minicuci, Nirmala Naidoo, Somnath Chatterji and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

22 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. 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

12 authors at 5 institutions in 4 countries.

Alfred E YawsonDepartment of Community Health, University of Ghana Medical School, College of Health Sciences, Room 46, P, O, Box 4236, Korle-Bu, Accra, Ghana. aeyawson@yahoo.com.
Akosua Baddoo
Nana Ayegua Hagan-Seneadza
Benedict Calys-Tagoe
Sandra Hewlett
Phyllis Dako-Gyeke
George Mensah
Nadia Minicuci
Nirmala Naidoo
Somnath Chatterji
Paul Kowal
Richard Biritwum
Korle Bu Teaching Hospital · GHUniversity of Ghana · GHWorld Health Organization · CHNeuroscience Institute · ITUniversity of Newcastle Australia · AU

Funding

Towards improving the measurement of health and disability trends, the compressioR01AG034479 · NIA · WORLD HEALTH ORGANIZATION · PI CHATTERJI, SOMNATH · 2010 to 2014
$5.3M
Stroke and Cardiovascular Research Training (SCaRT) InstituteD43TW009140 · FIC · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ADANU, RICHARD M K, ALABI, SULYMAN BIODUN · 2011 to 2023
$2.5M
FIC NIH HHS D43 TW009140NCI NIH HHS YA1323-08-CN-0020NIA NIH HHS R01 AG034479-64401A1NIA NIH HHS Y1-AG-1005-01PHS HHS OGHA 04034785
6 · The paper itself

Abstract

backgroundTobacco use over the life-course threatens to increase disease burden in older adulthood, including lower income countries like Ghana. This paper describes demographic, socioeconomic, health risks and life satisfaction indices related to tobacco use among older adults in Ghana.

methodsThis work was based on the World Health Organization's multi-country Study on global AGEing and adult health (SAGE), conducted in six countries including Ghana. Wave one of SAGE in Ghana was conducted in 2007-2008 as collaboration between WHO and the University of Ghana Medical School through the Department of Community Health. A nationally representative sample of 4305 older adults aged 50 years and above were interviewed. Associations between tobacco consumption and sociodemographic, socioeconomic, health risk and life satisfaction were evaluated using chi-square and odds ratio (OR). Logistic regression analyses, adjusted for age, sex and other variables, were conducted to determine predictors of tobacco consumption in older persons.

resultsOverall prevalence of current daily smokers among older adults in Ghana was 7.6%. Tobacco use (i.e. ever used tobacco) was associated with older males, (AOR = 1.10, CI 1.05-1.15), older adults residing in rural locations (AOR = 1.37, CI 1.083-1.724), and older adults who used alcohol (AOR = 1.13, CI 0.230-2.418). Tobacco use was also associated (although not statistically significant per p-values) with increased self-reporting of angina, arthritis, asthma, chronic lung disease, depression, diabetes, hypertension, and stroke. Older adults who used tobacco and with increased health risks, tended to be without health insurance (AOR = 1.41, CI 1.111-1.787). Satisfaction with life and daily living was much lower for those who use tobacco. Regional differences existed in tobacco use; the three northern regions (Upper East, Northern and Upper West) had higher proportions of tobacco use among older adults in the country. Quitting tobacco use was higher in the 70+ years age group, in women, among urban residents and in those with at least secondary education. Quitting tobacco use also increased with increasing income levels.

conclusionsTobacco use among older adults in Ghana was associated with older men living in rural locations, chronic ill-health and reduced life satisfaction. A high proportion of older adults have stopped using tobacco, demonstrating the possibilities for effective public health interventions. Health risk reduction strategies through targeted anti-smoking health campaigns, improvement in access to health and social protection (such as health insurance) will reduce health risks among older persons who use tobacco.

Indexed as

HealthHealth StatusQuality of LifeAgedAged, 80 and overFemaleGhanaHumansMaleMiddle AgedNicotianaOdds RatioPersonal SatisfactionPrevalenceRiskSmoking

Identifiers

PMID24138966
PMCPMC3924352
OpenAlexW2155429147

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.