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Table 5 Multivariate models, respiratory illness survey (dependent variable is whether medical care was sought)

From: Drivers of respiratory health care demand in Acre state, Brazilian Amazon: a cross-sectional study

 

pro

log

pro_int

log_int

pro_chi

log_chi

Illness’ duration

0.0083

0.0187

0.0082

0.0185

0.0456*

0.0792*

[0.0067]

[0.0180]

[0.0067]

[0.0181]

[0.0177]

[0.0309]

Illness’ number of symptoms

0.0624***

0.1010***

0.0625***

0.1011***

0.0861***

0.1428**

[0.0160]

[0.0266]

[0.0160]

[0.0265]

[0.0253]

[0.0435]

Illness caused extreme pain

0.3723*

0.5957*

0.3743*

0.6009*

0.4777

0.8664

[0.1604]

[0.2696]

[0.1607]

[0.2703]

[0.3026]

[0.5346]

Age

−0.0531***

− 0.0892***

− 0.0530***

− 0.0894***

− 0.0358

− 0.0754

[0.0099]

[0.0169]

[0.0099]

[0.0171]

[0.0720]

[0.1206]

Age squared

0.0006***

0.0011***

0.0006***

0.0011***

− 0.0017

− 0.0021

[0.0001]

[0.0002]

[0.0001]

[0.0002]

[0.0039]

[0.0066]

Female

0.18

0.2838

0.0844

0.0517

−0.038

−0.0826

[0.1208]

[0.2049]

[0.2987]

[0.5447]

[0.1815]

[0.3071]

Ever had lung disease

0.0577

0.109

0.0586

0.1099

0.0719

0.1224

[0.1275]

[0.2129]

[0.1274]

[0.2127]

[0.1981]

[0.3296]

Years of schooling

−0.0095

−0.0179

− 0.009

− 0.0165

− 0.0332

−0.0595

[0.0174]

[0.0293]

[0.0175]

[0.0295]

[0.0266]

[0.0460]

Household income

−0.0746

−0.1285

− 0.0758

−0.1319

− 0.0256

−0.0255

[0.0906]

[0.1505]

[0.0908]

[0.1510]

[0.1331]

[0.2265]

Household size

−0.0629+

− 0.1105

−0.0747

− 0.1427

0.0218

0.0345

[0.0381]

[0.0680]

[0.0575]

[0.1141]

[0.0560]

[0.0951]

Poor

0.1061

0.1763

0.1076

0.1806

0.1717

0.2984

[0.1375]

[0.2255]

[0.1375]

[0.2253]

[0.2000]

[0.3427]

Has health insurance

0.1582

0.3125

0.1596

0.3169

0.0919

0.131

[0.1990]

[0.3313]

[0.1993]

[0.3322]

[0.3014]

[0.5054]

Distance to health unit

0

0

0

0

0

−0.0001

[0.0000]

[0.0001]

[0.0000]

[0.0001]

[0.0000]

[0.0001]

Illness occurred in the dry season

−0.0629

− 0.0982

− 0.0671

−0.1078

  

[0.1746]

[0.2927]

[0.1749]

[0.2942]

  

Female * household size

  

0.0241

0.059

  
  

[0.0700]

[0.1302]

  

Mother answered

    

−0.08

−0.0907

    

[0.2449]

[0.4057]

Father answered

    

−0.2554

− 0.339

    

[0.3469]

[0.5909]

Intercept

0.2277

0.4722

0.2765

0.6082

−0.5058

−0.8943

[0.6733]

[1.1343]

[0.6981]

[1.1981]

[1.0677]

[1.8154]

N

519

519

519

519

241

241

r2_p

0.1155

0.117

0.1157

0.1174

0.1653

0.1669

chi2

66.1068

59.975

66.0322

59.6461

40.7541

36.3801

p

0

0

0

0

0.0003

0.0016

ll

− 305.6186

−305.0764

−305.5477

− 304.936

− 138.804

−138.5359

  1. Standard errors in brackets; “pro” denotes probit and “log” logit models, the first two columns contain the baseline model, the model with female * household size interaction is indicated with “int” and the children-only model with “chi”. Pseudo-R2 is denoted with “r2_p”, the statistic and p value of the chi-square global significance test as “chi2” and “p”, and the log-likelihood as “ll”
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BMC Public Health

ISSN: 1471-2458

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