Article Text

Download PDFPDF

Correction: Contextual and individual inequalities of multimorbidity in Brazilian adults: a cross-sectional national-based study

Statistics from Altmetric.com

Nunes BP, Chiavegatto Filho ADP, Pati S, et al. Contextual and individual inequalities of multimorbidity in Brazilian adults: a cross-sectional national-based study. BMJ Open 2017;7:e015885. doi: 10.1136/bmjopen-2017-015885.

This article was previously published with some errors.

­

In table 1 and supplementary table 1, the percentages of the descriptive analyses, no full postestimation of complex sampling are performed resulting in minor discrepancies on decimal places. Absolute numbers are not affected. The issue didn’t affect the main results or the conclusions of the paper. The corrected numbers are displayed below.

Table 1 Description of the sample and multimorbidity frequency. Brazil, 2013

Variables% originally published% corrected
Sex
 Male44.947.1
 Female55.152.9
Age (in years)
 18 to 2924.326.1
 30 to 3921.021.6
 40 to 4918.818.1
 50 to 5916.816.2
 60 to 6910.810.2
 70 to 795.75.4
 80 or more2.62.5
Skin color*
 White47.847.5
 Black9.29.2
 Brown41.742.0
Marital status
 Without partner38.438.8
 With partner61.661.2
 Schooling (in years)
 013.913.7
 1-825.725.3
 8-1115.315.5
 ≥1245.245.5
Wealth index (in quintiles)
 1º (High)22.322.2
 2º22.422.4
 3º19.519.5
 4º21.021.0
 5º (Low)14.714.9
Private health plan
 No69.469.7
 Yes30.630.3
 Geographical area
 Urban86.586.2
 Rural13.513.8
State-level education
 High37.237.2
 Middle32.432.4
 Low30.430.4
State-level income
 High36.036.0
 Middle30.030.1
 Low33.933.9
 Total100.0100.0

Supplementary table 1 Individual prevalence, duration and number of comorbidities for each morbidity evaluated. Brazil, 2013

MorbiditiesIndividual prevalence originally publishedIndividual prevalence corrected
%(95% CI)%(95% CI)
High Blood Pressure22.321.7 to 23.021.420.9 to 22.0
Spinal column problem19.018.3 to 19.718.417.7 to 19.1
Hypercholesterolemia8.48.0 to 8.88.17.7 to 8.4
Arthritis/rheumatism6.76.4 to 7.16.46.1 to 6.8
Diabetes6.56.2 to 6.96.25.9 to 6.6
Asthma/wheezy bronchitis4.44.1 to 4.84.44.1 to 4.7
Depression4.23.9 to 4.54.13.9 to 4.4
Worktorelated muscle-skeletal disorders2.52.2 to 2.82.42.2 to 2.7
Cancer1.91.7 to 2.21.81.7 to 2.0
Another heart disease1.91.6 to 2.11.81.6 to 2.1
Stroke1.61.4 to 1.81.51.4 to 1.7
Kidney problem1.51.3 to 1.71.41.3 to 1.6
Heart attack1.31.2 to 1.51.21.1 to 1.4
Heart failure1.21.1 to 1.41.21.0 to 1.3
Bronchitis1.00.8 to 1.11.00.8 to 1.1
Angina0.80.7 to 0.90.80.7 to 0.9
Emphysema0.50.4 to 0.60.40.3 to 0.5
Another lung disease0.50.4 to 0.60.50.4 to 0.6
Bipolar disorder0.40.3 to 0.50.40.3 to 0.5
Another mental disease0.30.2 to 0.40.30.2 to 0.4
Schizophrenia0.20.2 to 0.30.20.2 to 0.3
Obsessive Compulsive Disorder (OCD)0.20.1 to 0.20.20.1 to 0.2

In reference 17, the last names of the authors were abbreviated. They should read as follows:

Souza-Junior PRB, Freitas MPS, Antonaci GA, et al. Sampling design for the National Health Survey, 2013. Epidemiologia e Serviços de Saúde 2015;24:207–16.

View Abstract

Request Permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.

Linked Articles