Literature DB >> 19656772

Is it better to be rich in a poor area or poor in a rich area? A multilevel analysis of a case-control study of social determinants of tuberculosis.

Ricardo Arraes de Alencar Ximenes1, Maria de Fátima Pessoa Militão de Albuquerque, Wayner V Souza, Ulisses R Montarroyos, George T N Diniz, Carlos F Luna, Laura C Rodrigues.   

Abstract

BACKGROUND: Tuberculosis is known to have socio-economic determinants at individual and at area levels, but it is not known whether they are independent, whether they interact and their relative contributions to the burden of tuberculosis.
METHODS: A case-control study was conducted in Recife, Brazil, to investigate individual and area social determinants of tuberculosis, to explore the relationship between determinants at the two levels and to calculate their relative contribution to the burden of tuberculosis. It included 1452 cases of tuberculosis diagnosed by the tuberculosis services and 5808 controls selected at random from questionnaires completed for the demographic census. Exhaustive information on social factors was collected from cases, using the questionnaire used in the census. Socio-economic information for areas was downloaded from the census. Multilevel logistic regression investigated individual and area effects.
RESULTS: There was a marked and independent influence of social variables on the risk of tuberculosis, both at individual and area levels. At individual level, being aged >or=20, being male, being illiterate, not working in the previous 7 days and possessing few goods, all increased the risk of tuberculosis. At area level, living in an area with many illiterate people and where few households own a computer also increased this risk; individual and area levels did not appear to interact. Twice as many cases were attributable to social variables at individual level than at area level.
CONCLUSIONS: Although individual characteristics are the main contributor to the risk of tuberculosis, contextual characteristics make a substantial independent contribution.

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Mesh:

Year:  2009        PMID: 19656772      PMCID: PMC2755128          DOI: 10.1093/ije/dyp224

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  27 in total

1.  The impact of AIDS, immigration and housing overcrowding on tuberculosis deaths in São Paulo, Brazil, 1994-1998.

Authors:  J L Antunes; E A Waldman
Journal:  Soc Sci Med       Date:  2001-04       Impact factor: 4.634

2.  The use of socioeconomic factors in mapping tuberculosis risk areas in a city of northeastern Brazil.

Authors:  W V Souza; R Ximenes; M F Albuquerque; T M Lapa; J L Portugal; M L Lima; C M Martelli
Journal:  Rev Panam Salud Publica       Date:  2000-12

3.  Tuberculosis in the urban poor settlements in the Philippines.

Authors:  T E Tupasi; S Radhakrishna; M I Quelapio; M L Villa; M L Pascual; A B Rivera; A Sarmiento; V M Co; J N Sarol; G Beltran; J D Legaspi; N V Mangubat; A C Reyes; M Solon; F S Solon; L Burton; M J Mantala
Journal:  Int J Tuberc Lung Dis       Date:  2000-01       Impact factor: 2.373

Review 4.  A glossary for multilevel analysis.

Authors:  A V Diez Roux
Journal:  J Epidemiol Community Health       Date:  2002-08       Impact factor: 3.710

5.  Spatial patterns of tuberculosis incidence in Cologne (Germany).

Authors:  Thomas Kistemann; Annette Munzinger; Friederike Dangendorf
Journal:  Soc Sci Med       Date:  2002-07       Impact factor: 4.634

6.  Monitoring socioeconomic inequalities in sexually transmitted infections, tuberculosis, and violence: geocoding and choice of area-based socioeconomic measures--the public health disparities geocoding project (US).

Authors:  Nancy Krieger; Pamela D Waterman; Jarvis T Chen; Mah-Jabeen Soobader; S V Subramanian
Journal:  Public Health Rep       Date:  2003 May-Jun       Impact factor: 2.792

Review 7.  The world-wide increase in tuberculosis: how demographic changes, HIV infection and increasing numbers in poverty are increasing tuberculosis.

Authors:  Peter D O Davies
Journal:  Ann Med       Date:  2003       Impact factor: 4.709

8.  Tuberculosis and poverty.

Authors:  Hans Th Waaler
Journal:  Int J Tuberc Lung Dis       Date:  2002-09       Impact factor: 2.373

9.  Tuberculosis transmission patterns in a high-incidence area: a spatial analysis.

Authors:  Z Munch; S W P Van Lill; C N Booysen; H L Zietsman; D A Enarson; N Beyers
Journal:  Int J Tuberc Lung Dis       Date:  2003-03       Impact factor: 2.373

10.  Profile of tuberculosis patients progressing to death, city of São Paulo, Brazil, 2002.

Authors:  Ana Angélica Bulcão Portela Lindoso; Eliseu Alves Waldman; Naomi Kawaoka Komatsu; Sumie Matai de Figueiredo; Mauro Taniguchi; Laura C Rodrigues
Journal:  Rev Saude Publica       Date:  2008-10       Impact factor: 2.106

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  26 in total

1.  Risks for tuberculosis in Kazakhstan: implications for prevention.

Authors:  A Davis; A Terlikbayeva; A Aifah; S Hermosilla; Z Zhumadilov; E Berikova; S Rakhimova; S Primbetova; M Darisheva; N Schluger; N El-Bassel
Journal:  Int J Tuberc Lung Dis       Date:  2017-01-01       Impact factor: 2.373

2.  School life expectancy and risk for tuberculosis in Europe.

Authors:  Kazuyo Machiyama; Jan C Semenza; R J Silverwood; Melissa J Palmer; Tek-Ang Lim; Davide Manissero; Andreas Sandgren; George B Ploubidis
Journal:  Int J Public Health       Date:  2015-12-09       Impact factor: 3.380

3.  Commentary: Socio-economic determinants of tuberculosis in Recife, Brazil.

Authors:  Suzanne Marks
Journal:  Int J Epidemiol       Date:  2009-08-31       Impact factor: 7.196

4.  Tuberculosis in indigenous peoples in the U.S., 2003-2008.

Authors:  Emily Bloss; Timothy H Holtz; John Jereb; John T Redd; Laura Jean Podewils; James E Cheek; Eugene McCray
Journal:  Public Health Rep       Date:  2011 Sep-Oct       Impact factor: 2.792

5.  Family health and conditional cash transfer in Brazil and its effect on tuberculosis mortality.

Authors:  R A de Souza; J S Nery; D Rasella; R A Guimarães Pereira; M L Barreto; L Rodrigues; S M Pereira
Journal:  Int J Tuberc Lung Dis       Date:  2018-11-01       Impact factor: 2.373

6.  Socio economic position in TB prevalence and access to services: results from a population prevalence survey and a facility-based survey in Bangladesh.

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Journal:  PLoS One       Date:  2012-09-27       Impact factor: 3.240

7.  The association between household socioeconomic position and prevalent tuberculosis in Zambia: a case-control study.

Authors:  Delia Boccia; James Hargreaves; Bianca Lucia De Stavola; Katherine Fielding; Ab Schaap; Peter Godfrey-Faussett; Helen Ayles
Journal:  PLoS One       Date:  2011-06-17       Impact factor: 3.240

8.  Is there association between human development index and tuberculosis mortality risk? Evidence from a spatial analysis study in the south of Brazil.

Authors:  D T Santos; C Nunes; L S Alves; A A R Queiroz; M J Miranda; L H Arroyo; M Yamamura; A S Belchior; M P Popolin; M A M Arcoverde; T Z Berra; A C V Ramos; I C Pinto; P F Palha; B M A Gabardo; E M Dessunti; R A Arcêncio
Journal:  Epidemiol Infect       Date:  2018-07-11       Impact factor: 4.434

9.  Tuberculosis in Kazakhstan: analysis of risk determinants in national surveillance data.

Authors:  Assel Terlikbayeva; Sabrina Hermosilla; Sandro Galea; Neil Schluger; Saltanat Yegeubayeva; Tleukhan Abildayev; Talgat Muminov; Farida Akiyanova; Laura Bartkowiak; Zhaksybay Zhumadilov; Almaz Sharman; Nabila El-Bassel
Journal:  BMC Infect Dis       Date:  2012-10-18       Impact factor: 3.090

10.  Tuberculosis and poverty: why are the poor at greater risk in India?

Authors:  Olivia Oxlade; Megan Murray
Journal:  PLoS One       Date:  2012-11-19       Impact factor: 3.240

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