| Literature DB >> 25340391 |
Vu Thi Lan Huong, Ngo Thi Hoa, Peter Horby, Juliet E Bryant, Nguyen Van Kinh, Tran Khanh Toan, Heiman F L Wertheim.
Abstract
We assessed consumption of raw pig blood, which is a risk factor for Streptococcus suis infection in Vietnam, by using a mix-method design. Factors associated with consumption included rural residency, age, sex, occupation, income, and marital status. We identified risk groups and practices and perceptions that should be targeted by communication programs.Entities:
Mesh:
Year: 2014 PMID: 25340391 PMCID: PMC4214319 DOI: 10.3201/eid2011.140915
Source DB: PubMed Journal: Emerg Infect Dis ISSN: 1080-6040 Impact factor: 6.883
FigureTraditional dish (tiet canh) containing raw pig blood, Vietnam.
Factors associated with consumption of raw pig blood among respondents in 2 districts of Hanoi, Vietnam*
| Factor | Ba Vi District (rural) | Dong Da District (urban) | ||||
|---|---|---|---|---|---|---|
| Consumption, no. (%) | No consumption, no. (%) | OR (95% CI) | Consumption, no. (%) | No consumption, no.(%) | OR (95% CI) | |
| Sex | ||||||
| M | 900 (52.6) | 810 (47.4) |
| 250 (18.5) | 1,103 (81.5) |
|
| F | 1,527 (29.2) | 3,706 (70.3) | 1 | 88 (3.4) | 2,480 (96.6) | 1 |
| Age, y | ||||||
| <20 | 17 (13.8) | 106 (86.2) |
| 2 (4.1) | 47 (95.9) | 0.8 (0.2–3.7) |
| 20–29 | 209 (28.8) | 516 (71.2) |
| 37 (8.3) | 411 (91.7) |
|
| 30–39 | 535 (38.3) | 863 (61.7) |
| 68 (8.7) | 713 (91.3) |
|
| 40–49 | 759 (42.3) | 1,037 (57.7) |
| 85 (11.3) | 668 (88.7) |
|
| 50–59 | 593 (36.2) | 1,046 (63.8) |
| 104 (11.2) | 823 (88.8) |
|
| ≥60 | 314 (24.9) | 948 (75.1) | 1 | 42 (4.4) | 921 (95.6) | 1 |
| Education, y | ||||||
| ≤5 | 303 (27.3) | 807 (72.7) | 1.5 (1.0–2.1) | 10 (6.8) | 138 (93.2) | 2.2 (1.0–4.5) |
| 6–9 | 1,637 (38.0) | 2,673 (62.0) |
| 97 (11.4) | 755 (88.6) |
|
| 10–12 | 441 (32.6) | 910 (67.4) | 1.3 (0.9–1.9) | 124 (7.9) | 1,450 (92.1) | 1.1 (0.9–1.5) |
| >12 | 44 (26.7) | 121 (73.3) | 1 | 103 (7.8) | 1,218 (92.2) | 1 |
| Occupation | ||||||
| Office worker | 41 (24.4) | 127 (75.6) | 1 | 88 (7.6) | 1,067 (92.4) | 1 |
| Manual laborer† | 277 (41.6) | 389 (58.4) |
| 55 (16.2) | 284 (83.8) |
|
| Services and sales | 195 (34.8) | 366 (65.2) |
| 113 (12.2) | 810 (87.8) |
|
| Farmer | 1,649 (36.9) | 2,825 (63.1) |
| 0 | 2 (100) | - |
| Other | 98 (37.7) | 162 (62.3) | 1.4 (0.9–2.3) | 12 (21.4) | 44 (78.6) | 2.1 (1.1–4.3) |
| Not working‡ | 156 (19.8) | 630 (80.2) | 1.1 (0.7–1.6) | 69 (4.8) | 1,355 (95.2) | 1.2 (0.8–1.9) |
| HES quintiles | ||||||
| Lowest | 346 (30.4) | 794 (69.6) | 0.9 (0.7–1.0) | 71 (11.0) | 574 (89.0) |
|
| Second | 472 (32.0) | 1,002 (68.0) | 0.9 (0.7–1.0) | 100 (12.5) | 697 (87.5) |
|
| Third | 617 (37.9) | 1,011 (62.1) | 1.1 (0.9–1.3) | 58 (6.9) | 779 (93.1) | 1.1 (0.8–1.7) |
| Fourth | 561 (36.9) | 960 (63.1) | 1.0 (0.9–1.2) | 54 (6.5) | 773 (93.5) | 1.1 (0.7–1.6) |
| Highest | 416 (36.2) | 732 (63.8) | 1 | 55 (6.8) | 751 (93.2) | 1 |
| Marital status | ||||||
| Married | 2,186 (38.1) | 3,559 (61.9) |
| 260 (8.9) | 2,663 (91.1) | 0.8 (0.6–1.1) |
| Single | 241 (20.1) | 957 (79.9) | 1 | 78 (7.8) | 920 (92.2) | 1 |
*Values in bold are significant (p<0.05). OR, odds ratio; HES, household economic status. OR was adjusted for sex and age. †Includes construction, factory work, casual manual work on call, handicraft work, and mining. ‡Includes children, housewives, elderly persons, and retired persons.
Variables in models predicting consumption of raw pig blood , Vietnam*
| Group | Variables in final model† | Nagelkerke R‡ |
|---|---|---|
| Rural persons | Sex, age, occupation, marital status, HES | 0.123 |
| Rural farmers | Sex, age, marital status, HES | 0.086 |
| Rural non-farmers | Sex age, occupation, marital status | 0.168 |
| Urban persons | Sex, age, occupation, HES | 0.185 |
| Rural and urban persons | Sex, age, occupation, marital status, location (rural vs. urban) | 0.242 |
*HES, household economic status. †For model selection, all variables were forced into logistic regression. Each variable that was not significant (p ≥0.10) was removed step by step until all remaining variables were significant (p<0.10) in the model. ‡Higher values indicate a stronger model.