Literature DB >> 23232003

The measurement of household socio-economic position in tuberculosis prevalence surveys: a sensitivity analysis.

D Boccia1, J Hargreaves, L D Howe, B L De Stavola, K Fielding, H Ayles, P Godfrey-Faussett.   

Abstract

OBJECTIVE: To assess the robustness of socio-economic inequalities in tuberculosis (TB) prevalence surveys.
DESIGN: Data were drawn from the TB prevalence survey conducted in Lusaka Province, Zambia, in 2005-2006. We compared TB socio-economic inequalities measured through an asset-based index (Index 0) using principal component analysis (PCA) with those observed using three alternative indices: Index 1 and Index 2 accounted respectively for the biases resulting from the inclusion of urban assets and food-related variables in Index 0. Index 3 was built using regression-based analysis instead of PCA to account for the effect of using a different assets weighting strategy.
RESULTS: Household socio-economic position (SEP) was significantly associated with prevalent TB, regardless of the index used; however, the magnitude of inequalities did vary across indices. A strong association was found for Index 2, suggesting that the exclusion of food-related variables did not reduce the extent of association between SEP and prevalent TB. The weakest association was found for Index 1, indicating that the exclusion of urban assets did not lead to higher extent of TB inequalities.
CONCLUSION: TB socio-economic inequalities seem to be robust to the choice of SEP indicator. The epidemiological meaning of the different extent of TB inequalities is unclear. Further studies are needed to confirm our conclusions.

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Mesh:

Year:  2013        PMID: 23232003     DOI: 10.5588/ijtld.11.0387

Source DB:  PubMed          Journal:  Int J Tuberc Lung Dis        ISSN: 1027-3719            Impact factor:   2.373


  6 in total

1.  Tuberculosis incidence in the Irish Traveller population in Ireland from 2002 to 2013.

Authors:  R F O'Toole; S Jackson; A Hanway; J O'Donnell; C M Comiskey; T R Rogers; D O'Flanagan
Journal:  Epidemiol Infect       Date:  2015-02-12       Impact factor: 4.434

2.  Association between socioeconomic position and tuberculosis in a large population-based study in rural Malawi.

Authors:  Anna Odone; Amelia C Crampin; Venance Mwinuka; Simon Malema; J Nimrod Mwaungulu; Lumbani Munthali; Judith R Glynn
Journal:  PLoS One       Date:  2013-10-21       Impact factor: 3.240

3.  Tuberculosis patients' pre-hospital delay and non-compliance with a longstanding DOT programme: a mixed methods study in urban Zambia.

Authors:  Anne Lia Cremers; René Gerrets; Nathan Kapata; Austin Kabika; Emma Birnie; Kerstin Klipstein-Grobusch; Martin P Grobusch
Journal:  BMC Public Health       Date:  2016-10-28       Impact factor: 3.295

4.  Socio-economic gradients in prevalent tuberculosis in Zambia and the Western Cape of South Africa.

Authors:  Tom A Yates; Helen Ayles; Finbarr P Leacy; A Schaap; Delia Boccia; Nulda Beyers; Peter Godfrey-Faussett; Sian Floyd
Journal:  Trop Med Int Health       Date:  2018-03-24       Impact factor: 2.622

5.  Asset and consumption gradient of health estimates in India: Implications for survey and public health research.

Authors:  Sanjay K Mohanty; S K Singh; Santosh Kumar Sharma; Kajori Banerji; Rajib Acharya
Journal:  SSM Popul Health       Date:  2022-10-04

6.  Measuring Socioeconomic Inequalities in Relation to Malaria Risk: A Comparison of Metrics in Rural Uganda.

Authors:  Lucy S Tusting; John C Rek; Emmanuel Arinaitwe; Sarah G Staedke; Moses R Kamya; Christian Bottomley; Deborah Johnston; Jo Lines; Grant Dorsey; Steve W Lindsay
Journal:  Am J Trop Med Hyg       Date:  2016-01-25       Impact factor: 2.345

  6 in total

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