| Literature DB >> 23922664 |
Lucia Mariano da Rocha Silla1, Alice Zelmanowicz, Ingrid Mito, Mariana Michalowski, Tania Hellwing, Marco Antonio Shilling, João Ricardo Friedrisch, Christina M Bittar, Cristina Arthmar Mentz Albrecht, Elaine Scapinello, Claudia Conti, Marcia Arthmar Mentz Albrecht, Letícia Baggio, Annelise Pezzi, Bruna Amorin, Vanessa Valim, Laura Fogliatto, Alessandra Paz, Claudia Astigarraga, Rosane Isabel Bittencourt, Gustavo Fischer, Liane Daudt.
Abstract
This population-based study was designed to detect the prevalence of anemia in a healthy population of children (18 months to 7 years) and women (14 to 30 years) tested in 2006-2007 in the state of Rio Grande do Sul, Brazil as part of an effort to tackle this massive problem that still affects so many people in the XXI century. Anemia was defined according to the WHO. Capillary blood was measured and socioeconomic status was determined according to the Brazilian Association of Market Research Agencies. The median prevalence of anemia in 2198 children was 45.4% and in 1999 women 36.4%. Anemia decreased with age during childhood; although significantly more prevalent in lower classes individuals, it was also high in the upper classes. There are indirect evidences that the lack of iron supplementation and/or iron fortified food may play a role in it. Professionals and society wise measures of education have to be implemented in order to address possible biologic factors involved in childhood psychosocial development in southern Brazil.Entities:
Mesh:
Year: 2013 PMID: 23922664 PMCID: PMC3726679 DOI: 10.1371/journal.pone.0068805
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Univariate analysis of predicting factors for anemia in children in Rio Grande do Sul, Southern Brazil, 2006–2007.
| Characteristics | N(2198) anemic/total | Prevalence (%) | Gross PR (CI 95%) | P-value |
| Gender | ||||
| Female | 486/1109 | 43.8% | 1 | |
| Male | 510/1077 | 47.3% | 1.081(0.986–1.184) | 0.098 |
| Age in months | ||||
| 18 to 23 | 97/127 | 76% | 2.500(2.042–3.063) | 0.000 |
| 24 to 35 | 260/422 | 62% | 2.017(1.662–2.448) | 0.000 |
| 36 to 47 | 196/446 | 44% | 1.439(1.170–1.769) | 0.001 |
| 48 to 59 | 176/438 | 40% | 1.316(1.065–1.626) | 0.011 |
| 60 to 71 | 187/490 | 38% | 1.249(1.012–1.543) | 0.038 |
| ≥72 | 84/275 | 31% | 1 | |
| SeS | ||||
| A and B | 69/201 | 34.3% | 1 | |
| C | 347/836 | 41.5% | 1.209(0.983–1.488) | 0.073 |
| D | 447/933 | 47.9% | 1.396(1.140–1.709) | 0.001 |
| E | 132/219 | 60.3% | 1.756(1.410–2.186) | 0.000 |
| 9 missing | ||||
SeS = socioeconomic status,
12 missing.
Univariate analysis of the predicting factors for anemia in women and crude PR of anemia according to age, social class and skin color in RS, Southern Brazil, 2006–2007.
| Characteristics | N (1999) | Prevalence(%) | Crude PR(CI 95%) | P-value |
| SeS | ||||
| A and B | 100/318 | 31.4% | 1 | |
| C | 292/847 | 34.5% | 1.096(0.909–1.322) | 0.335 |
| D | 267/680 | 39.3% | 1.249(1.035–1.506) | 0.020 |
| E | 68/152 | 44.7% | 1.423(1.119–1.808) | 0.004 |
| Skin color # | ||||
| White | 416/1220 | 34.1% | 1 | |
| Black | 182/414 | 44% | 1.289(1.128–1.474) | 0.000 |
| Other | 119/336 | 35.4% | 1.039(0.881–1.224) | 0.651 |
| Age | ||||
| 14 to 17 years | 183/482 | 37.9% | 1.231(0.891–1.701) | 0.209 |
| 18 to 19 years | 88/232 | 37.9% | 1.229(0.871–1.735) | 0.240 |
| 20 to 24 years | 212/620 | 34.2% | 1.108(0.803–1.529) | 0.531 |
| 25 to 29 years | 217/571 | 38% | 1.232(0.894–1.697) | 0.202 |
| ≥30 years | 29/94 | 30.8% | 1 | |
SeS – socioeconomic status,
2 missing,
29 missing.
Hierarchic Multiple Poisson Regression analysis of the predicting factors for anemia in children, RS, Southern Brazil, 2006–2007.
| Characteristics | Adjusted PR (95% CI) | p-value |
| Age | ||
| 18 to 23 months | 2.448(1.812–3.307) | 0.000 |
| 24 to 35 months | 1.917(1.450–2.533) | 0.000 |
| 36 to 47 months | 1.400(1.123–1.745) | 0.003 |
| 48 to 59 months | 1.246(1.013–1.533) | 0.037 |
| 60 to 71 months | 1.147(0.968–1.360) | 0.113 |
| 72 months total | 1 | |
| Social Class | ||
| A and B | 1 | |
| C | 1.190(0.889–1.593) | 0.241 |
| D | 1.236(0.973–1.569) | 0.082 |
| E | 1.511(1.159–1.971) | 0.002 |
| Skin Color | ||
| White | 1 | |
| Black | 1.210(1.050–1.396) | 0.009 |
| Other | 0.977(0.856–1.114) | 0.856 |
PR: Prevalence ratio; SeS: socioeconomic status.
Hierarchic multiple poisson regression with level of significance<0.05; interval with 95% confidence.
Hierarchic Multiple Poisson Regression analysis of the predicting factors for anemia in women, RS, Southern Brazil, 2006–2007.
| Characteristics | N(1999) Anemic/total | Prevalence (%) | Adjusted PR (95% CI) | P-value |
| Skin color | ||||
| White | 416/1220 | 34.1% | 1 | |
| Black | 182/414 | 44% | 1.254(1.095–1.436) | 0.001 |
| Other | 119/336 | 35.4% | 1.011(0.856–1.194) | 0.896 |
| SeS# | ||||
| A and B | 100/318 | 31.4% | 1 | |
| C | 292/847 | 34.5% | 1.078(0.893–1.302) | 0.434 |
| D | 267/680 | 39.3% | 1.212(1.001–1.466) | 0.048 |
| E | 68/152 | 44.7% | 1.328(1.040–1.697) | 0.023 |
PR: Prevalence ratio; SeS: socioeconomic status.
Hierarchic multiple Poisson regression with level of significance <0.05; interval with 95% confidence,
29 missing,
2 missing.