| Literature DB >> 32513893 |
Eunchan Mun1, Yesung Lee1, Byungseong Suh1, Wonsul Kim1, Jinsook Jeong1, Hwanjin Park1, Woncheol Lee1, Boksoon Han1, Soyoung Park1, Changhwan Lee2.
Abstract
OBJECTIVES: Hepatitis A incidence in Korea has dramatically increased in recent years. Individuals in their twenties and thirties, who account for majority of the workforce in Korea, are particularly susceptible to infection owing to a low seroprevalence of anti-hepatitis A virus (anti-HAV) immunoglobulin G (IgG). This study aimed to identify behavioural and occupational factors related to anti-HAV IgG seropositivity.Entities:
Keywords: epidemiology; occupational & industrial medicine; public health
Mesh:
Substances:
Year: 2020 PMID: 32513893 PMCID: PMC7282336 DOI: 10.1136/bmjopen-2019-036727
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Figure 1Flow chart of participant selection. HAV, hepatitis A virus; IgG, immunoglobulin G.
Seroprevalence of anti-hepatitis A virus (HAV) immunoglobulin G (IgG) by participant demographic and clinical characteristics
| Total | IgG anti-HAV (+) | IgG anti-HAV (−) | P value | |
| N (%) | 68 612 (100.0) | 24 871 (36.2) | 43 741 (63.8) | |
| Age (years), median (IQR) | 32 (28–36) | 33 (29–38) | 31 (27–36) | <0.001 |
| 20–29, n (%) | 24 805 (36.2) | 7236 (29.2) | 17 569 (70.8) | <0.001 |
| 30–39, n (%) | 37 959 (55.3) | 14 586 (38.4) | 23 373 (61.6) | |
| 40–49, n (%) | 5848 (8.5) | 3049 (52.1) | 2799 (47.9) | |
| Sex | ||||
| Male, n (%) | 44 151 (64.3) | 14 619 (33.1) | 29 532 (66.9) | <0.001 |
| Female, n (%) | 24 461 (35.7) | 10 252 (41.9) | 14 209 (58.1) | |
| Residence | ||||
| Seoul city, n (%) | 7526 (16.4) | 3408 (45.3) | 4118 (54.7) | <0.001 |
| Gyeonggi-do, n (%) | 27 480 (59.8) | 10 682 (38.9) | 16 798 (61.1) | |
| Other regions, n (%) | 10 956 (23.8) | 4062 (37.1) | 6894 (62.9) | |
| Disease history (any) | ||||
| No, n (%) | 59 951 (87.4) | 21 105 (35.2) | 38.846 (64.8) | <0.001 |
| Yes, n (%) | 8661 (12.6) | 3766 (43.5) | 4895 (56.5) | |
| Blood pressure (mm Hg) | ||||
| Normal, n (%) | 31 733 (46.2) | 12 193 (38.4) | 19 540 (61.6) | <0.001 |
| Prehypertension, n (%) | 34 009 (49.6) | 11 679 (34.3) | 22 330 (65.7) | |
| Hypertension, n (%) | 2870 (4.2) | 999 (34.8) | 1871 (65.2) | |
| BMI (kg/m2), median (IQR) | 24.1 (21.4–26.2) | 23.9 (21.2–26.1) | 24.2 (21.5–26.3) | <0.001 |
| Normal, n (%) | 44 190 (64.4) | 16 399 (37.1) | 27 791 (62.9) | <0.001 |
| Overweight, n (%) | 19 474 (28.4) | 6752 (34.7) | 12 722 (65.3) | |
| Obese, n (%) | 4948 (7.2) | 1720 (34.8) | 3228 (65.2) | |
| Waist circumference (cm), median (IQR) | 80.3 (72.0–87.4) | 79.7 (71.1–87.0) | 80.6 (73.0–87.7) | <0.001 |
| Normal, n (%) | 55 608 (81.0) | 20 308 (36.5) | 35 300 (63.5) | 0.002 |
| Abdominal obesity, n (%) | 13 004 (19.0) | 4563 (35.1) | 8441 (64.9) | |
| Fasting glucose (mg/dL), median (IQR) | 92 (86–97) | 93 (86–97) | 92 (86–97) | 0.002 |
| Normal, n (%) | 57 487 (83.8) | 20 731 (36.1) | 36 756 (63.9) | 0.02 |
| Glucose intolerance, n (%) | 10 400 (15.2) | 3852 (37.0) | 6548 (63.0) | |
| Suspected diabetes, n (%) | 725 (1.1) | 288 (39.7) | 437 (60.3) | |
| Total cholesterol (mg/dL), median (IQR) | 187 (165–207) | 187 (165–207) | 187 (165–207) | 0.91 |
| Normal, n (%) | 64 414 (93.9) | 23 281 (36.1) | 41 133 (63.9) | 0.02 |
| Elevated, n (%) | 4198 (6.1) | 1590 (37.9) | 2608 (62.1) | |
| HBsAb | ||||
| Negative, n (%) | 23 111 (33.7) | 5099 (22.1) | 18 012 (77.9) | <0.001 |
| Positive, n (%) | 45 501 (66.3) | 19 772 (43.5) | 25 729 (56.5) |
BMI, body mass index; HAV, hepatitis A virus; HBsAb, hepatitis B surface antibody; IgG, immunoglobulin G; IQR, interquartile range.
Seroprevalence of anti-hepatitis A virus (HAV) immunoglobulin G (IgG) and occupational characteristics of the study participants
| Total | IgG anti-HAV (+) | IgG anti-HAV (−) | P value | |
| Occupational sector* | ||||
| Manufacturing, n (%) | 61 405 (89.6) | 22 042 (35.9) | 39 363 (64.1) | <0.001 |
| Construction, n (%) | 1106 (1.6) | 331 (29.9) | 775 (70.1) | |
| Wholesale and retail trade, n (%) | 1097 (1.6) | 307 (28.0) | 790 (72.0) | |
| Accommodation and food service activities, n (%) | 328 (0.5) | 101 (30.8) | 227 (69.2) | |
| Information and communication, n (%) | 1128 (1.6) | 351 (31.1) | 777 (68.9) | |
| Financial and insurance activities, n (%) | 841 (1.2) | 202 (24.0) | 639 (76.0) | |
| Professional, scientific and technical activities, n (%) | 713 (1.0) | 234 (32.8) | 479 (67.2) | |
| Business facilities management and business support services; rental and leasing activities, n (%) | 179 (0.3) | 63 (35.2) | 116 (64.8) | |
| Education, n (%) | 464 (0.7) | 136 (29.3) | 328 (70.7) | |
| Human health and social work activities, n (%) | 1240 (1.8) | 1043 (84.1) | 197 (15.9) | |
| Workplace health manager | ||||
| No, n (%) | 3196 (4.7) | 948 (29.7) | 2248 (70.3) | <0.001 |
| Yes, n (%) | 65 416 (95.3) | 23 923 (36.6) | 41 493 (63.4) | |
| Number of health managers | ||||
| 0, n (%) | 3196 (4.7) | 948 (29.7) | 2248 (70.3) | <0.001 |
| 1, n (%) | 2967 (4.3) | 1558 (52.5) | 1409 (47.5) | |
| ≥2, n (%) | 62 449 (91.2) | 22 365 (35.8) | 40 084 (64.2) |
*Occupational classifications with <50 workers are not shown.
HAV, hepatitis A virus; IgG, immunoglobulin G.
Factors associated with anti-hepatitis A virus seropositivity
| Crude | Adjusted ORs | |
| Age (years) | ||
| 20–29 | 1.00 (reference) | 1.00 (reference) |
| 30–39 | 1.52 (1.46 to 1.57) | 1.32 (1.27 to 1.37) |
| 40–49 | 2.65 (2.50 to 2.80) | 2.51 (2.36 to 2.68) |
| Sex | ||
| Male | 1.00 (reference) | 1.00 (reference) |
| Female | 1.46 (1.41 to 1.51) | 1.54 (1.48 to 1.59) |
| Residence* | ||
| Other regions | 1.00 (reference) | |
| Gyeonggi-do | 1.08 (1.03 to 1.13) | |
| Seoul city | 1.41 (1.32 to 1.49) | |
| Disease history (any) | ||
| No | 1.00 (reference) | 1.00 (reference) |
| Yes | 1.42 (1.35 to 1.48) | 1.19 (1.14 to 1.25) |
| Blood pressure | ||
| Normal | 1.00 (reference) | |
| Prehypertension | 0.84 (0.81 to 0.87) | |
| Hypertension | 0.86 (0.79 to 0.93) | |
| BMI | ||
| Normal weight | 1.00 (reference) | 1.00 (reference) |
| Overweight | 0.90 (0.87 to 0.93) | 0.94 (0.90 to 0.97) |
| Obese | 0.90 (0.85 to 0.96) | 0.91 (0.86 to 0.97) |
| Waist circumference | ||
| Normal | 1.00 (reference) | |
| Abdominal obesity | 0.94 (0.90 to 0.98) | |
| Fasting glucose | ||
| Normal | 1.00 (reference) | |
| Glucose intolerance | 1.04 (1.00 to 1.09) | |
| Suspected diabetes | 1.17 (1.01 to 1.36) | |
| Total cholesterol | ||
| Normal | 1.00 (reference) | |
| Elevated | 1.08 (1.01 to 1.15) | |
| HBsAb | ||
| Negative | 1.00 (reference) | 1.00 (reference) |
| Positive | 2.72 (2.62 to 2.82) | 2.39 (2.31 to 2.49) |
| Occupational classification | ||
| Others | 1.00 (reference) | 1.00 (reference) |
| Human health and social work activities | 9.68 (8.30 to 11.28) | 9.07 (7.52 to 10.93) |
| Workplace health manager | ||
| No | 1.000 (reference) | |
| Yes | 1.37 (1.27 to 1.48) | |
| Number of health managers | ||
| 0 | 1.00 (reference) | 1.00 (reference) |
| 1 | 2.62 (2.36 to 2.91) | 1.04 (0.91 to 1.18) |
| ≥2 or more | 1.32 (1.22 to 1.43) | 1.32 (1.22 to 1.43)† |
*Residence was not considered when adjustment due to missing values.
†P for trend <0.001.
BMI, body mass index; HBsAb, hepatitis B surface antibody.