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Table 1 Distribution of person-years by diagnosis of thyroid cancer

From: Thyroid fine-needle aspiration biopsy positively correlates with increased diagnosis of thyroid cancer in South Korean patients

Variables

Total patients

Patients with thyroid fine-needle aspiration biopsy

 

Diagnosed

None

P-value

Diagnosed

None

P-value

 

N/Mean

%/SD

N/Mean

%/SD

 

N/Mean

%/SD

N/Mean

%/SD

 

Regional variables

 Number of thyroid fine-needle aspiration biopsies in Si-Gun-Gu (per 100,000 people)

348.2

225.0

253.3

207.9

<0.0001a

348.2

225.0

425.9

236.8

<.0001a

 Financial independence rate of local government (%)

62.2

23.3

62.4

23.6

0.5344a

62.2

23.3

59.4

22.9

<.0001a

Individual variables

 Sex

  Male

1140

0.02

5,514,264

99.98

<0.0001b

1140

22.04

4033

77.96

0.1968b

  Female

5479

0.10

5,503,665

99.90

 

5479

21.23

20,327

78.77

 Age (years)

  0–19

30

0.00

2,622,533

100.00

<0.0001b

30

21.58

109

78.42

<0.0001b

  20–29

339

0.02

1,580,567

99.98

 

339

26.26

952

73.74

  30–39

1210

0.07

1,866,884

99.94

 

1210

26.86

3295

73.14

  40–49

1972

0.10

1,909,614

99.90

 

1972

23.69

6352

76.31

  50–59

1819

0.13

1,392,449

99.87

 

1819

19.48

7519

80.52

  60–69

876

0.10

894,668

99.90

 

876

16.65

4386

83.35

  70–79

320

0.06

543,227

99.94

 

320

16.82

1582

83.18

  80+

53

0.03

207,987

99.98

 

53

24.31

165

75.69

 Type of insurance coverage

  Medical Aid

144

0.04

383,596

99.96

<0.0001b

144

34.37

275

65.63

<0.0001b

  NHI (self-employed)

2142

0.05

4,060,517

99.95

 

2142

21.69

7734

78.31

  NHI (employed)

4333

0.07

6,573,816

99.93

 

4333

20.95

16,351

79.05

 Income (percentiles)

  0–29%

873

0.05

1,784,071

99.95

<0.0001b

873

20.45

3395

79.55

0.2938b

  30–59%

1310

0.05

2,612,723

99.95

 

1310

21.49

4785

78.51

  60%+

4436

0.07

6,621,135

99.93

 

4436

21.52

16,180

78.48

 Year

  2003

317

0.03

1,016,565

99.97

<0.0001b

317

40.80

460

59.20

<0.0001b

  2004

287

0.03

1,015,716

99.97

 

287

26.70

788

73.30

  2005

319

0.03

1,015,929

99.97

 

319

23.74

1025

76.26

  2006

374

0.04

1,001,078

99.96

 

374

23.29

1232

76.71

  2007

497

0.05

1,019,688

99.95

 

497

22.42

1720

77.58

  2008

588

0.06

999,651

99.94

 

588

22.13

2069

77.87

  2009

771

0.08

997,219

99.92

 

771

24.12

2425

75.88

  2010

751

0.08

1,000,753

99.93

 

751

19.37

3126

80.63

  2011

884

0.09

983,859

99.91

 

884

20.49

3430

79.51

  2012

941

0.10

983,065

99.90

 

941

19.37

3918

80.63

  2013

890

0.09

984,406

99.91

 

890

17.60

4167

82.40

 Region (distance from Seoul)

  Gangwon-do (100.6 km)

115

0.04

321,209

99.96

<0.0001b

115

20.25

453

79.75

<0.0001b

  Gyeonggi-do (40.0 km)

1445

0.06

2,528,926

99.94

 

1445

21.80

5182

78.20

  Gyeongsangnam-do (366.4 km)

335

0.05

653,458

99.95

 

335

20.68

1285

79.32

  Gyeongsangbuk-do (225.5 km)

303

0.05

595,692

99.95

 

303

22.35

1053

77.65

  Gwangju (295.3 km)

272

0.08

324,124

99.92

 

272

14.48

1607

85.52

  Daegu (288.3 km)

432

0.08

561,837

99.92

 

432

17.63

2019

82.37

  Daejeon (160.9 km)

267

0.08

334,572

99.92

 

267

28.13

682

71.87

  Busan (394.2 km)

440

0.05

807,140

99.95

 

440

19.32

1837

80.68

  Seoul

1504

0.07

2,282,278

99.93

 

1504

24.78

4566

75.22

  Ulsan (395.7 km)

184

0.07

259,663

99.93

 

184

24.02

582

75.98

  Incheon (37.7 km)

265

0.04

606,840

99.96

 

265

23.47

864

76.53

  Jeollanam-do (346.3 km)

382

0.09

429,219

99.91

 

382

17.54

1796

82.46

  Jeollabuk-do (216.9 km)

244

0.06

413,454

99.94

 

244

18.26

1092

81.74

  Jeju-do (541.6 km)

69

0.06

123,336

99.94

 

69

23.31

227

76.69

  Chungcheongnam-do (129.9 km)

226

0.05

437,945

99.95

 

226

24.73

688

75.27

  Chungcheongbuk-do (137.1 km)

136

0.04

338,236

99.96

 

136

24.16

427

75.84

 Total

6619

0.06

11,017,929

99.98

 

6619

21.37

24,360

78.63

 
  1. aThe results of analysis of variance (ANOVA) for each continuous variable to compare mean and standard deviation by diagnosis during study period
  2. bThe results of χ2 tests to analyze frequencies of person-years for each categorical variable by diagnosis of thyroid cancer