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Table 2 Summarizing results of the accuracy for smoking rates according to UCC and SRs

From: Does South Korea have hidden female smokers: discrepancies in smoking rates between self-reports and urinary cotinine level

 

Male (n 1* = 6,614)

Female (n 2* = 7,463)

 

SN**

SP**

PPV**

NPV**

DR**

SN**

SP**

PPV**

NPV**

DR**

Overall (95% CI)

0.8553 (.8550-.8556)

0.9768 (.9766-.9799)

0.9783 (.9782-.9785)

0.8465 (.8463-.8468)

1.143

0.3670 (.3663-.3678)

0.9956 (.9955-.9966)

0.9486 (.9480-.9491)

0.8761 (.8759-.8763)

2.600

Age (years)

          

20 – 29

0.8585 (.8580-.8591)

0.9819 (.9816-9821)

0.9840 (.9838-.9842)

0.8422 (.8416-.8428)

1.146

0.4149 (.4135-.4163)

0.9867 (.9865-.9869)

0.9119 (.9107-.9131)

0.8358 (.8353-.8464)

2.204

30 – 39

0.8804 (.8799-.8809)

0.9366 (.9361-9371)

0.9622 (.9619-.9622)

0.8104 (.8097-.8112)

1.093

0.3733 (.3718-.3748).

0.9969 (.9969-9970)

0.9715 (.9707-.9723)

0.8510 (.8504-.8515)

2.595

40 – 49

0.8624 (.8618-.8629)

0.9812 (.9809-9814)

0.9835 (.9833-.9837)

0.8455 (.8449-.8461)

1.141

0.3125 (.3110-.3140)

0.9993 (.9992-.9993)

0.9888 (.9882-.9895)

0.8727 (.8722-.8733)

3.182

50 – 59

0.8393 (.8385-.8400)

0.9879 (.9877-9882)

0.9856 (.9854-.9859)

0.8618 (.8611-.8624)

1.175

0.2969 (.2950-.2988)

0.9964 (.9963-9965)

0.9262 (.9243-.9281)

0.9027 (.9022-.9031)

3.143

60 – 69

0.8087 (.8075-.8099)

0.9915 (.9913-.9917)

0.9854 (.9850-.9858)

0.8798 (.8790-.8806)

1.221

0.3649 (.3621-.3677)

0.9968 (.9967-.9970)

0.9316 (.9293-.9339)

0.9302 (.9297-9307)

2.610

70 over

0.7482 (.7462-.7501)

0.9959 (.9957-.9962)

0.9913 (.9909-.9918)

0.8643 (.8631-.8654)

1.325

0.4484 (.4454-.4513)

1.0000

1.0000

0.9071 (.9064-.9078)

2.229

Number of household

          

1

0.9146 (.9137-.9154)

0.9830 (.9825-9835)

0.9870 (.9866-.9873)

.8908 (.8897-.8919)

1.079

0.5466 (.5438-.5494)

0.9960 (.9960-.9963)

1.0000

0.8908 (.8900-.8917)

1.782

2 over

0.8545 (.8539-.8552)

0.9764 (.9763-.9765)

0.9777 (.9776-.9778)

.8448 (.8445-.8551)

1.149

0.3530 (.3522-.3537)

0.9955 (.9955-.9956)

0.9455 (.9449-.9461)

0.8752 (.8750-.8754)

2.687

Income quartile

          

Low

0.8893 (.8888-8898)

0.9784 (.9781-.9786)

0.9842 (.9840-.9844)

0.8536 (.8530-.8542)

1.108

0.4581 (.4567-4595)

0.9944 (.9943-.9945)

0.9568 (.9560-.9576)

0.8712 (.8707-.8816)

2.098

Middle low

0.8364 (.8359-.8370)

0.9817 (.9814-.9819)

0.9838 (.9836-.9840)

0.8184 (.8177-.8190)

1.175

0.4080 (.4065-4095)

0.9964 (.9963-.9965)

0.9611 (.9602-.9620)

0.8856 (.8852-.8860)

2.355

Middle high

0.8651 (.8646-.8657)

0.9712 (.9709-9715)

0.9719 (.9716-.9721)

0.8624 (.8618-.8624)

1.124

0.2883 (.2868-2899)

0.9937 (.9936-.9938)

0.8923 (.8905-.8942)

0.8848 (.8843-.8852)

3.080

High

0.8275 (.8269-.8282)

0.9750 (.9747-.9752)

0.9698 (.9694-.9701)

0.8537 (.8531-.8542)

1.171

0.2746 (.2732-2759)

0.9974 (.9974-.9975)

0.9586 (.9575-.9598)

0.8636 (.8631-.8640)

3.490

Residential area

          

Metro

0.8576 (.8572-.8580)

0.9731 (.9729-.9733)

0.9728 (.9726-.9730)

0.8587 (.8583-.8591)

1.133

0.3727 (.3717-.3738)

0.9945 (.9944-9946)

0.9348 (.9339-.9356)

0.8826 (.8823-.8829)

2.522

Other urban city

0.8550 (.8546-.8555)

0.9784 (.9782-.9787)

0.9810 (.9808-.9812)

0.8383 (.8378-.8388)

1.148

0.3704 (.3692-.3716)

0.9950 (.9949-.9951)

0.9485 (.9476-.9494)

0.8637 (.8633-.8640)

2.564

Rural area

0.8512 (.8506-.8520)

0.9851 (.9848-.9853)

0.9875 (.9873-.9877)

0.8273 (.8266-.8281)

1.160

0.3406 (.3388-.3425)

1.0000

1.0000

0.8821 (.8816-.8826)

2.947

NCD***

          

Yes

0.8166 (.8159-.8174)

0.9860 (.9958-.9862)

0.9808 (.9805-.9811)

0.8595 (.8589-.8600)

1.200

0.3135 (.3117-.3153)

0.9951 (.9950-.9952)

0.9037 (.9017-.9056)

0.9078 (.9074-.9082)

2.844

No

0.8639 (.8636-.8642)

0.9738 (.9736-.9740)

0.9778 (.9777-.9800)

0.8424 (.8420-.8427)

1.130

0.3766 (.3758-.3744)

0.9957 (.9957-9958)

0.9556 (.9551-.9562)

0.8671 (.8669-.8674)

2.558

Cancer

          

Yes

0.5823 (.5783-.5863)

1.0000

1.0000

0.7964 (.7941-.7987)

1.719

0.3453 (.3399-.3507)

1.0000

0.9478 (.9472-.9483)

0.9241(.9231-.9251)

2.921

No

0.8582 (.8579-.8584)

0.9763 (.9762-.9765)

0.9782 (.9781-.9783)

0.8476 (.8473-.8479)

1.140

0.3674 (.3667-.3682)

0.9954 (.9954-.9955)

1.0000

0.8746 (.8744-.8749)

2.592

  1. *Unweighted number of respondents, Excludes cases for non-respondents of smoking status.
  2. **SN = sensitivity, SP = specificity, PPV = positive predictive value, NPV = negative predictive value, DR = difference ratio (UCC/SRs).
  3. ***NCD = Non communicable disease (physician diagnosis about hypertension, diabetes mellitus, dyslipidemia, etc.).
  4. Weights were applied to the SN, SP, PPV, NPV.
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BMC Women's Health

ISSN: 1472-6874

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