| Literature DB >> 32566487 |
Carmen Ildes R Fróes Asmus1, Arnaldo Prata Barbosa1, Armando Meyer2, Nataly Damasceno2, Ana Cristina Simões Rosa3, Roberto Medronho1, Antônio Jose Ledo A da Cunha1, Josino Costa Moreira3, Thatiana V R de B Fernandes2, Marlos Martins1, Ronir Raggio Luiz2, Volney de Magalhães Câmara2.
Abstract
Background/Objective: As a developing country, Brazil presents a wide range of environmental risks that can constitute hazards to child health. The country also presents different socio-economic-cultural conditions that could be responsible for determining different vulnerability and susceptibility levels for the population, which can potentiate the effects of the environmental pollutants. The Rio Birth Cohort Study (PIPA project) is a prospective maternal-infant health study, hosted in the city of Rio de Janeiro (Southeastern Brazil), designed to investigate separate and combined effects of environmental chemical pollutants, as well as the interactions between these exposures and sociocultural environment and epigenetic patterns. This paper presents the learned lessons and strategies to address the shortcomings detected from this pilot study.Entities:
Mesh:
Substances:
Year: 2020 PMID: 32566487 PMCID: PMC7292139 DOI: 10.5334/aogh.2709
Source DB: PubMed Journal: Ann Glob Health ISSN: 2214-9996 Impact factor: 2.462
Schedule for Data Collection.
| Prenatal | Birth | 3m | 6m | 12m | 24m | 36m | 48m | |
|---|---|---|---|---|---|---|---|---|
| Anthropometric | × | × | × | × | × | × | × | |
| Physical Exam | × | × | × | × | × | × | × | |
| NCPDTests1 | × | × | × | × | × | × | ||
| Umbilical Cord Blood | × | |||||||
| Meconium | × | |||||||
| Tissue samples2 | × | |||||||
| Maternal milk | × | × | ||||||
| Urine (child) | × | × | × | × | × | × | ||
| Urine (mother) | × | |||||||
| Blood (mother) | × | |||||||
| Saliva (child) | × | × | × | × | × | × | × | |
| Gestation: 32nd week | × | |||||||
| Birth | × | |||||||
| Follow up | × | × | × | × | × | × | × | |
1 Neuromotor, cognitive and psychologic developmental tests; 2umbilical cord and placenta.
Figure 1Follow-up endpoints.
Environmental pollutants, types of sample and biological matrices.
| Biologic Matrix | Environmental Pollutants | Types of sample |
|---|---|---|
| Blood | Metals(1); Organochlorine pesticides; Bisphenol; Polychlorinated biphenyls (PCBs); Phthalates; | Parents |
| Urine | Metals(1) Pyrethroids; Bisphenol; Phthalates. | Parents |
| Umbilical Cord Blood | Metals(1) Organochlorine pesticides; Polychlorinated biphenyls (PCBs); | Newborn |
| Meconium | Metals(1) | Newborn |
| Urine | Metals(1) Pyrethroids; Bisphenol; Phthalates. | Newborn/infant/toddler |
| Maternal Milk (2) | Metals(1) Organochlorine pesticides; Polychlorinated biphenyls (PCBs). | Mother |
(1) Metals: Lead, Arsenic. Cadmium and Mercury.
(2) In the 3rd and 6th follow-up months.
Recruitment and participation in the PIPA Pilot Study.
Enrollment: October and November/2017 (2 months): All pregnant women that attended the Prenatal Maternity School Program/UFRJ: 209 were invited to participate: 142 (67.9%): agreed. Phase 1_PreNatal: 142 pregnant women, 139 (98%) collected blood, 142 (100%) urine and hair samples. Phase 2_Birth: 135 (95, 1%) newborns: 126 (93%): collected umbilical cord blood samples; 54 (40%) collected urine samples; 117 (86.7%) collected meconium samples. Phase 3_Follow-up: 130 eligible newborns: 77 (59%) returns (1st, 3rd or 6th months). A total of 177 newborns urine samples and 151 maternal milk samples were collected |
Comparison between the PIPA Pilot Study population data and Rio de Janeiro municipality population data.
| Maternal Characteristics | PIPA Pilot Study | MRJ* | ||||
|---|---|---|---|---|---|---|
| % | (N) | % | (N) | |||
| 8.6 | (12) | 13.9 | (11194) | |||
| 84.2 | (117) | 82.2 | (66024) | |||
| 7.2 | (10) | 3.9 | (3154) | |||
| 7.3 | (10) | 1.5 | (13724) | |||
| 92.7 | (127) | 82.5 | (64494) | |||
| 23.9 | (34) | 36.6 | (29057) | |||
| 71.1 | (101) | 63.4 | (50230) | |||
| 57.3 | (75) | 51.1 | (42,223) | |||
| 43.7 | (56) | 48.9 | (40,370) | |||
| 9 | (12) | 8.6 | (7,143) | |||
| 82.7 | (110) | 86.2 | (71,224) | |||
| 8.3 | (11) | 5.1 | (4,234) | |||
| 9.2 | (11) | 9.3 | (165)**** | |||
| 81.5 | (97) | 74.8 | (1,324)**** | |||
| 9.2 | (11) | 15.9 | (282)**** | |||
* MRJ: Rio de Janeiro Municipality. Source: MS Datasus/Sinasc–2016.
** Total PIPA number: 133 newborns; Total number RJ: 82.601 newborns.
*** Total PIPA number: 119 newborns.
**** Source: Kale et all, 2018 [25]; Total live births: 1,771; SGA: Small for the gestational age; AGA: adequate for the gestational age; LGA: large for the gestational age.
(1) Incomplete data on the specific covariates.
Metal levels in mother and umbilical cord blood – Pilot study.
| Metals | Sample | Geometric Mean (95% IC) | Min | Max |
|---|---|---|---|---|
| Mother blood | 3.74 (3.40–4.12) | 1.11 | 15.26 | |
| Umbilical Cord Blood | 3.85 (3.53–4.19) | 1.43 | 16.03 | |
| Mother blood | 1.00 (0.85–1.18) | 0.33 | 13.32 | |
| Umbilical Cord Blood | 1.11 (0.97–1.27) | 0.35 | 6.38 | |
| Mother blood | 0.30 (0.29–0.53) | 0.002 | 22.43 | |
| Umbilical Cord Blood | 0.41 (0.32–0.52) | 0.004 | 17.41 | |
| Mother blood | 10.27 (9.37–11.18) | 0.33 | 36.48 | |
| Umbilical Cord Blood | 10.31 (9.75–10.93) | 4.89 | 19.94 | |
Metal limits of detection: Pb 0.015 μg/L; Hg 0.007 μg/L; Cd 0.002 μg/L; As 0.003 μg/L.
3BPA and 4FBA metabolite detection rates – Mother and child urine.
| Samples | N analysed | 3PBA ng mL-1 Detection | 4FPBA Detection | ||
|---|---|---|---|---|---|
| N | Rate | N | Rate | ||
| Mother Urine | 140 | 67 | 47.9% | 14 | 10% |
| Urine newborn | 34 | 8 | 23.5% | 0 | 0 |
| Urine 1st follow up | 26 | 5 | 19.2% | 0 | 0 |
| Urine 2nd follow up | 50 | 14 | 28% | 0 | 0 |
| Urine 3rd follow up | 56 | 12 | 21.4% | 0 | 0 |
Metabolite limits of detection: 3BPA 0.06 ng mL–1; 4FPBA 0.05 ng mL–1.
PIPA Project Risk Points and Responding Strategies.
| Risk points | Responding strategies |
|---|---|
| Underestimating of research costs | Permanent search for financial support |
| Underestimating number of required staff | Permanent hiring and training |
| Laboratory capacity underestimation | Searches for other laboratories with similar qualifications |
| Establishment of an infrastructure to attend and monitor the population during the cohort period | Accomplishment of alternative attendance schemes for using non-occupied periods |
| High local government decision makers turnover | Development and maintenance of ongoing collaboration and information nets between the researchers, the maternity and family health center teams |
| Living far from Maternity: monetary displacement costs | Monetary provision to help the participants with displacement costs to the Maternity School, during the follow-up period |
| No time to answer the questionnaire and to collect the biological samples | Review of the Enrollment questionnaire and Seminar dynamics to optimize data collection. |
| “Health, Environment and Child Development Educational Program” | |
| Faults in the follow-up visits | Ongoing sensibilization and contact |
| Daily tracking of participants approaching due dates | |
| Rigorous information system infrastructure | |
| Unanimous adaptation of pre-specified data collection and management protocols | |