Evidence map›Paper›PMID 32834011›Full record

ArticlePloS one2020

Factors associated with underweight, overweight, and obesity in reproductive age Tanzanian women.

Kedir Y Ahmed, Abdon G Rwabilimbo, Solomon Abrha, Andrew Page, Amit Arora, Fentaw Tadese, Tigistu Yemane Beyene, Abdulaziz Seiko, Abdulhafiz A Endris, Kingsley E Agho and 2 more

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–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

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Mother-child dyads of overnutrition and undernutrition in sub-Saharan Africa.Journal of health, population, and nutrition · 2024
    Article
  17. Article
  18. Article
  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.

Kedir Y AhmedCollege of Medicine and Health Sciences, Samara University, Samara, Ethiopia.ORCID 0000-0003-3797-5234
Abdon G RwabilimboTranslational Health Research Institute, Western Sydney University, Sydney, NSW, Australia.
Solomon AbrhaSchool of Public Health, College of Medicine and Health Science, Wolayta Sodo University, Wolayta Sodo, Ethiopia.
Andrew PageTranslational Health Research Institute, Western Sydney University, Sydney, NSW, Australia.
Amit AroraTranslational Health Research Institute, Western Sydney University, Sydney, NSW, Australia.
Fentaw TadeseCollege of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.
Tigistu Yemane BeyeneCDT Africa, College of Health Science, Addis Ababa University, Addis Ababa, Ethiopia.
Abdulaziz SeikoCARE Ethiopia, Afar, Ethiopia.
Abdulhafiz A EndrisEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Kingsley E AghoTranslational Health Research Institute, Western Sydney University, Sydney, NSW, Australia.
Felix Akpojene OgboTranslational Health Research Institute, Western Sydney University, Sydney, NSW, Australia.
Global Maternal and Child Health Research collaboration (GloMACH)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderweight, overweight, and obesity are major public health challenges among reproductive-age women of lower- and middle-income countries (including Tanzania). In those settings, obesogenic factors (attributes that promote excessive body weight gain) are increasing in the context of an existing high burden of undernutrition. The present study investigated factors associated with underweight, overweight, and obesity among reproductive age women in Tanzania.

methodsThis study used 2015-16 Tanzania Demographic and Health Survey data (n = 11735). To account for the hierarchical nature of the data (i.e., reproductive age women nested within clusters), multilevel multinomial logistic regression models were used to investigate the association between individual-level (socioeconomic, demographic and behavioural) and community-level factors with underweight, overweight, and obesity.

resultsReproductive age women who were informally employed (relative risk ratio [RRR] = 0.79; 95% confidence interval [CI]: 0.64, 0.96), those who were currently married (RRR = 0.59; 95% CI: 0.43, 0.82) and those who used contraceptives (RRR = 0.70; 95% CI: 0.54, 0.90) were less likely to be underweight. Reproductive age women who attained secondary or higher education (RRR = 1.48; 95% CI: 1.11, 1.96), those who resided in wealthier households (RRR = 2.31; 95% CI: 1.78, 3.03) and those who watched the television (RRR = 1.26; 95% CI: 1.06, 1.50) were more likely to be overweight. The risk of experiencing obesity was higher among reproductive age women who attained secondary or higher education (RRR = 1.79; 95% CI: 1.23, 2.61), those who were formally employed (RRR = 1.50; 95% CI: 1.14, 1.98), those who resided in wealthier households (RRR = 4.77; 95% CI: 3.03, 7.50), those who used alcohol (RRR = 1.43; 95% CI: 1.12, 1.82) and/or watched the television (RRR = 1.70; 95% CI: 1.35, 2.13).

conclusionOur study suggests that relevant government jurisdictions need to identify, promote, and implement evidence-based interventions that can simultaneously address underweight and overweight/obesity among reproductive age women in Tanzania.

Indexed as

AdolescentAdultCross-Sectional StudiesEvidence-Based MedicineFemaleHealth Services Needs and DemandHealth SurveysHumansMiddle AgedNutritional StatusObesityOverweightPrevalencePreventive Health ServicesReproductionReproductive Health

Identifiers

PMID32834011
PMCPMC7444815

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.