| Literature DB >> 33023706 |
A Martini1,2, E Pietrafesa1, B M Rondinone1, S Iavicoli1, S D'amelio2, S Cavallero2, M Bonafede1.
Abstract
Toxoplasmosis is a worldwide zoonotic infectious disease caused by Toxoplasma gondii. This infection is estimated to affect about a third of the world's population. The aim of this study was to evaluate the knowledge of Italian women about toxoplasmosis and its forms of transmission, clinical manifestations, diagnosis and prevention through two different modalities (e-research and traditional research). In a cross-sectional study, 808 Italian women were interviewed, using a self-administered questionnaire, through two different modalities: an e-research or web survey and a traditional paper research and 84% reported to have heard about toxoplasmosis, but from most of the sample, it resulted that the knowledge of the protozoan disease was superficial and incomplete.The assessment of the dimensionality related to the toxoplasmosis knowledge's instrument showed that the scale is composed by two stable and reliable factors which explain 58.6% of the variance: (a) the basic knowledge (α = 0.83), which explains the 45.2% of the variance and (b) the specialist knowledge (α = 0.71), which explains the 13.4% of the variance. The variance and the multiple linear regression data analysis showed significant predictors of correct basic knowledge of toxoplasmosis: the highest age, the highest degree of study, to have previously contracted illness or to know someone who had contracted it, to be working or to be housewives. In conclusion, this study showed limited awareness of toxoplasmosis and suggested the implementation of effective education and learning programs. The results also showed that online data collection, in academic research, might be a valid alternative to more traditional (paper-and-pencil) surveys.Entities:
Keywords: E-research; Toxoplasma gondii; Toxoplasmosis; knowledge; protozoan disease; women
Year: 2020 PMID: 33023706 PMCID: PMC7689595 DOI: 10.1017/S0950268820002393
Source DB: PubMed Journal: Epidemiol Infect ISSN: 0950-2688 Impact factor: 2.451
Literature research findings (2010–2020)
| Authors | Publication year | Place | Target | Sample size |
|---|---|---|---|---|
| Ziemba | 2010 | Łódź, Polonia | Pregnant women, midwives, medical students and health professionals (obstetricians) | 310 |
| Dabritz | 2010 | California, USA | General population | 54 |
| Thaller | 2011 | Rome, Italy | Pregnant women | 2356 |
| da Silva | 2011 | Rio de Janeiro, Brazil | Health professionals (physicians and nurses) | 112 |
| Pereboom | 2013 | Netherlands | Pregnant women | 1097 |
| Ogendi | 2013 | Thika District, Kenya | Farmers households | 385 |
| Amin | 2013 | Al Hassa, Saudi Arabia | Pregnant women | 872 |
| Bresciani | 2013 | São Paulo, Brazil | Teachers (from elementary schools) | 30 |
| Millar | 2014 | Rio de Janeiro, Brazil | Pregnant and postpartum women | 400 |
| Velázquez-Hernández | 2014 | Sancti Spiritus, Cuba | Women of childbearing age and pregnant women | 119 |
| Contiero-Toninato | 2014 | Paraná, Brazil | Health professionals (physicians and nurses) and pregnant women | 410 |
| Andiappan | 2014 | Malaysia, Philippines, and Thailand | Pregnant women | 2598 |
| Elsafi | 2015 | Drahran, Saudi Arabia | Pregnant women | 400 |
| Ebrahimi | 2015 | Mashhad, Iran | Female students | 549 |
| Hung | 2015 | Taipei, Taiwan | Pregnant women | 104 |
| Al Rashada | 2016 | Al Ahassa, Saudi Arabia | Female students | 88 |
| Ansari Lari | 2016 | Shiraz, Iran | Female students | 200 |
| de Moura | 2016 | Rio de Janeiro, Brazil | Pregnant women | 405 |
| Lehmann | 2016 | Rio Grande do Sul state, Brazil | Pregnant and postpartum women | 100 |
| Yun | 2016 | Wixi, Jiangsu, China | Pregnant women | 217 |
| Al-Sheyab | 2015 | Jordan | Female students | 1390 |
| Yan-Li | 2017 | Changzhou, Jiangsu, China | Pregnant women and patients with neoplasia | 300 |
| de Moura | 2017 | Niterói, Rio de Janeiro, Brazil | Health professionals and pregnant women | 641 |
| Mayada | 2017 | Tikrit, Iraq | Females | 200 |
| Swaileh | 2017 | Gaza Strip, Palestine | Female students | 976 |
| Alvarado-Esquivel | 2017 | Durando, Mexico | Clinical laboratory professionals | 192 |
| Efunshile | 2017 | Ogun, Ebonyi, Anambra, Nigeria | Health professionals (medical doctors) | 522 |
| Sousa | 2017 | São Luís, Maranhão, Brazil | Pregnant women and health professionals (nurses) | 30 |
| Avelar | 2018 | Goiás, Brazil | Postpartum women | 229 |
| El-dessouki | 2018 | Minya, Egypt | Pregnant women | 200 |
| Smereka | 2018 | Wroclaw, Poland | Pregnant women | 465 |
| Dairo | 2018 | Ibadan, Nigeria | Pregnant women | 377 |
| Yam L, | 2018 | Kuala Lumpur, Malaysia | Urban and rural population | 321 |
| Mahfouz | 2018 | Jazan, Saudi Arabia | Female students | 440 |
| Moura | 2019 | Maranhão, Brazil | Pregnant women | 239 |
| Velázquez-Hernández | 2019 | Durango City, Mexico | Housewives | 185 |
| Onduru | 2019 | Dar Es Salaam, Tanzania | Pregnant women and health professionals | 393 |
| Al-Hellaly | 2019 | Babil, Iraq | Pregnant women | 98 |
| Wasik M [ | 2019 | Kielce, Poland | Woman | 63 |
| Ouzennou | 2019 | Marrakech, Morocco | Pregnant women | 16 |
| Laboudi | 2020 | Rabat, Morocco | Health professionals (medical doctors, nurses, midwives and laboratory technicians) | 96 |
| Senosy [ | 2020 | Beni Suef, Egypt | Female students | 1079 |
| MarwaAbdElmonaem | 2020 | Menoufia, Egypt | Health professionals (nurses) | 88 |
Sample description
| Group 1 Online administration ( | Group 2 Paper and pencil administration ( | ||
|---|---|---|---|
| Age categories | |||
| <24 yrs | 122 (20.2%) | 174 (85.3%) | |
| 25–34 yrs | 244 (40.4%) | 29 (14.2%) | |
| >35 yrs | 238 (39.4%) | 1 (0.5%) | |
| Mean age (SD) | 32.3 (7.9) | 21.6 (2.9) | |
| Education | |||
| Middle/high school diploma | 259 (42.9%) | 159 (78.3%) | |
| Degree and post graduate | 345 (57.1%) | 44 (21.7%) | |
| Nationality | |||
| Italian | 585 (96.9%) | 197 (96.6%) | |
| Foreign | 19 (3.1%) | 7 (3.4%) | |
| Macro geographical area | |||
| Northern Italy | 128 (21.5%) | 5 (2.5%) | |
| Central Italy | 224 (37.6%) | 159 (79.9%) | |
| Southern Italy | 244 (40.9%) | 35 (17.6%) | |
| Living environment | |||
| Urban | 491 (81.3%) | 188 (92.6%) | |
| Rural | 113 (18.7%) | 15 (7.4%) | |
| Employment status | |||
| Student | 120 (20.1%) | 204 (100.0%) | |
| Worker | 386 (64.5%) | – | |
| Housewife | 44 (7.4%) | – | |
| Unemployed | 48 (8.0%) | – | |
| Previous | |||
| Yes | 179 (29.8%) | 21 (10.6%) | |
| No | 422 (70.2%) | 178 (89.4%) | |
| Having heard about toxoplasmosis | |||
| Yes | 579 (95.9%) | 105 (51.7%) | |
| No | 25 (4.1%) | 98 (48.3%) | |
Main component analysis of the scale ‘Knowledge’
| Component | ||
|---|---|---|
| 1 - | 2 - | |
| Diagnosis (How is toxoplasmosis diagnosed?) | 0.770 | |
| Animal (Which animal is involved in the transmission of toxoplasmosis?) | 0.752 | |
| In what period (Toxoplasmosis is a disease with more severe consequences if…is contracted) | 0.751 | |
| How to contract the disease (How can the human being contract the disease?) | 0.744 | |
| Way to prevent (How can it be prevented?) | 0.715 | |
| Pregnancy period (What is the period of pregnancy in which the disease can cause more complications if contracted?) | 0.555 | |
| Female effects (What may be the effects/symptoms on the woman?) | 0.884 | |
| Foetal effects (What may be the effects on the unborn child?) | 0.746 | |
| Symptoms (What are the symptoms associated with the disease?) | 0.677 | |
| Extraction method: Main component analysis. Rotation method: Varimax with Kaiser normalisation. | ||
Student's t test and variance analysis (one-way ANOVA) between knowledge factors and socio-demographic variables
| Variables | General knowledge (1 = corrected; 2 = partially corrected 3 = incorrect) | Specialist knowledge (1 = correct; 2 = partially correct 3 = wrong) | ||||
|---|---|---|---|---|---|---|
| Mean | SD | Mean | SD | |||
| Have you contracted or know someone who contracted the disease? | Group 1 | Yes | 1.38 | 0.30 | 2.24 | 0.45 |
| No | 1.53 | 0.47 | 2.37 | 0.49 | ||
| test; | ||||||
| Group 2 | Yes | 1.90 | 0.45 | 2.57 | 0.37 | |
| No | 2.42 | 0.57 | 2.83 | 0.27 | ||
| test; | ||||||
| Education | Group 1 | Middle/high school diploma | 1,55 | 0.48 | 2.40 | 0.44 |
| Degree and post graduate | 1.44 | 0.39 | 2.29 | 0.50 | ||
| test; | ||||||
| Group 2 | Middle/high school diploma | 2.41 | 0.59 | 2.82 | 0.29 | |
| Degree and post graduate | 2.25 | 0.57 | 2.73 | 0.30 | ||
| test; | ||||||
| Age categories | Group 1 | <24 yrs | 1.81 | 0.56 | 2.32 | 0.47 |
| 25-34 yrs | 1.41 | 0.38 | 2.32 | 0.47 | ||
| >34 yrs | 1.40 | 0.33 | 2.36 | 0.49 | ||
| test; | ||||||
| Group 2 | <24 yrs | 2.41 | 0.58 | 2.79 | 0.31 | |
| 25-34 yrs | 2.21 | 0.51 | 2.84 | 0.21 | ||
| >34 yrs | – | – | – | – | ||
| test; | ||||||
| Employment status | Group 1 + Group 2 | Student | 2.16 | 0.64 | 2.60 | 0.46 |
| Worker | 1.41 | 0.36 | 2.33 | 0.49 | ||
| Housewife | 1.33. | 0.32 | 2.42 | 0.39 | ||
| Unemployed | 1.49 | 0.39 | 2.50 | 0.42 | ||
| test; | ||||||
Linear regression model: ‘General knowledge’ as a dependent variable
| Model – Dependent variable: ‘General knowledge’ | Beta | ||
|---|---|---|---|
| (Steady) | 2.332 | 0.020 | |
| Age | −0.115 | −3.193 | 0.001 |
| Education | −0.064 | −2.291 | 0.022 |
| Previous toxoplasma infection or friends/relations with parasitic disease | 0.868 | 46.846 | 0.000 |
| Employment status | −0.331 | −12.369 | 0.000 |
F = 766.731; P < 0.001; R2 = 79%; adjusted R2 = 79%.