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. 2023 Nov 14;23:2243. doi: 10.1186/s12889-023-17132-2

Table 1.

Profile and distribution of women attending cervical cancer screening via HPV DNA testing between 2019–2021

Variables n % % By population distribution
Total
 Overall 36,738 100.00
Locality
 Rural 3,489 9.50 (13.01) a 22.31
 Urban 23,248 63.28 (86.95) a 77.69
 Unrecorded# 10,001 27.22
State
 Johor 979 2.66 21.62
 Kedah 9,392 25.56 12.13
 Kelantan 2,410 6.56 10.37
 Negeri Sembilan 1,252 3.41 6.66
 Selangor 4,997 13.60 37.98
 WPKL & Putrajaya 17,708 48.20 11.23
Age group (years)
 20–29 587 1.60 28.15
 30–39 21,478 58.46 28.19
 40–49 11,073 30.14 21.02
 50–65 3,600 9.80 22.64
Ethnicity
 Malay 30,638 83.40 69.80
 Chinese 3,046 8.29 22.40
 Indian 2,447 6.66 6.80
 Others 591 1.61 1.00
 Missing 16 0.04
Education level
 Never attended school/Primary 655 1.78 (5.75) a 9.50
 Secondary 4,816 13.11 (42.27) a 50.00
 Certificate/Tertiary 5,923 16.12 (51.98) a 40.50
 Unrecorded# 25,344 68.99
Income level
  <  = RM3999 6,656 18.12 (58.47) a Monthly household income in the year 2020: Median = RM5209; Mean = RM7089
 RM4000-RM7999 3,637 9.90 (31.95) a
  >  = RM8000 1,091 2.97 (9.58) a
 Unrecorded# 25,354 69.01
Occupation
 Self-employed 758 2.06 (6.65) a -
 Government employee 3,675 10.00 (32.26) a
 Private employee 2,665 7.25 (23.39) a
 Pensioner/Housewife 4,294 11.69 (37.69) a
 Unrecorded# 25,346 68.99
Sampling method
 Assisted by HCP 826 2.25 -
 Self-sampling 35,872 97.64
 Missing 40 0.11
Year of HPV screening
 2019 17,493 47.62 -
 2020 9,073 24.70
 2021 10,172 27.69
Number of children
 0 2,444 6.70 -
 1 4,813 13.10
 2 8,820 24.00
 3 9,816 26.70
 4 6,246 17.00
  > 4 4,380 11.90
 Missing 219 0.60
HPV results
 High-risk HPV not detected 34,005 92.56 -
 Positive high-risk HPV 16/18 452 1.23
 Positive high-risk non-16/18 HPV 1,214 3.30
 Total high-risk HPV positive 1,666 4.53
 Unsatisfactory HPV test 911 2.48
 Missing 156 0.42

HCP Healthcare provider, RM Malaysian Ringgit, WPKL Wilayah Persekutuan Kuala Lumpur, DOSM Department of Statistics Malaysia, n number, % percentage

 The percentage of women attending the screening was compared to population data for 2020 to determine the difference in characteristics of those attending the public screening program from the general population

 Information on locality, education level, income level and occupation was only collected from August 2020 onwards, rendering many unrecorded cases marked as #

a Percentage after removing unrecorded cases