Literature DB >> 32071188

Cohort profile: the Maternal and Child Health and Nutrition in Acre, Brazil, birth cohort study (MINA-Brazil).

Marly A Cardoso1, Alicia Matijasevich2, Maira Barreto Malta3, Barbara Hatzlhoffer Lourenco3, Suely G A Gimeno3, Marcelo U Ferreira4, Marcia C Castro5.   

Abstract

PURPOSE: Maternal and Child Health and Nutrition in Acre, Brazil (MINA-Brazil) is a longitudinal, prospective population-based birth cohort, set-up to understand the effects of early environmental exposures and maternal lifestyle choices on growth and development of the Amazonian children. PARTICIPANTS: Mother-baby pairs (n=1246) were enrolled at delivery from July 2015 to June 2016 in Cruzeiro do Sul, Acre, Brazil. Mothers of 43.7% of the cohort were recruited in the study during pregnancy from February 2015 to January 2016. Study visits took place during pregnancy, delivery, at 1 month, 6 months, 1 year and 2 years after delivery. In addition to clinical and epidemiological data, samples collected by the MINA-Brazil study include plasma, serum and extracted DNA from blood and faeces, which are stored in a biobank. FINDINGS TO DATE: Key baseline reports found a high prevalence of gestational night blindness (11.5%; 95% CI 9.97% to 13.25%) and maternal anaemia (39.4%; 95% CI 36.84% to 41.95%) at delivery. Antenatal malaria episodes (74.6% of Plasmodium vivax) were diagnosed in 8.0% of the women and were associated with an average reduction in birth weight z-scores of 0.35 (95% CI 0.14 to 0.57) and in birth length z-scores of 0.31 (95% CI 0.08 to 0.54), compared with malaria-free pregnancies. At 2-year follow-up, data collection strategies combined telephone calls, WhatsApp, social media community and home visits to minimise losses of follow-up (retention rate of 79.5%). FUTURE PLANS: A 5-year follow-up visit is planned in 2021 with similar interviews and biospecimens collection. The findings from this prospective cohort will provide novel insights into the roles of prenatal and postnatal factors in determining early childhood development in an Amazonian population. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  community child health; epidemiology; maternal medicine; nutrition; public health

Year:  2020        PMID: 32071188      PMCID: PMC7045011          DOI: 10.1136/bmjopen-2019-034513

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


The Maternal and Child Health and Nutrition in Acre, Brazil birth cohort is the first population-based study with longitudinally collected biospecimens (plasma, serum and extracted DNA from blood and faeces) and measurements carried out in the Amazon. Mother–baby pairs (n=1246) were enrolled at pregnancy between February 2015 and January 2016 (44%) or at delivery from July 2015 to June 2016 in Cruzeiro do Sul, Acre, Brazil. Repeated assessments and health outcomes took place during pregnancy, at 1 month, 6 months, 1 year and 2 years after delivery. Potential limitation includes generalisability of the study results since the cohort population was limited to suburban and urban area residents due to difficult access to Amazonian rural areas.

Introduction

In 2010, Brazil ranked as the 10th country in number of preterm births,1 with marked regional differences.2 Although Brazil has intensified actions towards pregnant women’s health, and has a comprehensive protocol for antenatal care, the coverage and quality at the primary care level remain as concerns.1 The Maternal and Child Health and Nutrition in Acre, Brazil (MINA-Brazil) study, is the first population-based birth cohort followed in the Amazon. Cruzeiro do Sul, the study site, is a municipality with 82 000 inhabitants (2017 estimate) located in Juruá Valley, the main malaria hotspot of Brazil. The local female population is highly vulnerable as in the Amazonian region the odds of a preterm delivery are among the highest in Brazil, with poor antenatal care indicators (eg, in 2010, 22% of the women did not attend to any antenatal care visit, and 23% attended only 1–3 visits) and significant social and health inequalities.2 Previous studies among Amazonian children found that ever-use of a feeding bottle, having a single mother and belonging to the low economic status were associated with a shorter breast feeding duration,3 higher exposure to infections, anaemia, micronutrient deficiencies and an increased risk of being overweight.4–6 Early exposures—both biological and social—are known to influence trajectories of health and well-being throughout life, including the double burden of disease seen in low-income and middle-income countries.7 8 International longitudinal studies on health and nutrition status are relevant to facilitate cross-cohort comparisons9 and plan evidence-based interventions aimed at improving maternal and child health. The MINA-Brazil cohort was set-up to better understand the effects of early environmental exposures and maternal lifestyle choices on growth and development of the Amazonian children. It was conducted with a focus on the first 1000-day window of vulnerability and opportunities for the child’s cognitive and physical development. It integrated clinical and epidemiological research on health conditions and nutrition in an endemic malaria region. The MINA-Brazil study aimed to investigate risk factors during the prenatal–early childhood period for the nutritional status and developmental trajectories of children. The cohort was established to cover measurements over the first 2 years of life, with planned follow-up assessments as long as possible during childhood.

Cohort description

Recruitment

The recruitment of participants took place at two moments: (1) during pregnancy and (2) after delivery. Pregnant women with up to 20 gestational weeks were recruited while booking an appointment for antenatal care in each of the 13 primary healthcare units, covering the entire urban area of Cruzeiro do Sul, from February 2015 to January 2016. Contact information was recorded in a standardised form by the research team. Afterwards, the research protocol was explained to the woman or caregiver (in case of teenage pregnancy), and their participation invited through phone calls. Women were eligible for the study if they intended to give birth at the only maternity hospital in Cruzeiro do Sul. On acceptance of the invitation, a home visit was scheduled to obtain written consent and collect initial socioeconomic and health data. This antenatal visit enrolled 545 participants, corresponding to 43.7% of the total mothers who subsequently delivered babies included in the MINA-Brazil birth cohort (n=1246). After delivery, baseline data collection for the entire birth cohort included 1881 children who were born from July 2015 to June 2016 at the Women’s and Children’s Hospital of Juruá Valley, where 96% of all deliveries of the municipality take place (figure 1).10 Of them, 16 were stillbirths, 112 abortions, 184 mothers refused further participation and 18 births were not captured by the study researchers despite daily visits to the hospital. In the next step, 1551 mothers with live babies were contacted. In this group, 305 living in remote rural areas were excluded due to difficult access. The remaining 1246 participants were eligible for follow-up.
Figure 1

Flowchart of the MINA-Brazil cohort participation. A total of 20 of the 1246 participating children were twins. MINA-Brazil, Maternal and Child Health and Nutrition in Acre, Brazil.

Flowchart of the MINA-Brazil cohort participation. A total of 20 of the 1246 participating children were twins. MINA-Brazil, Maternal and Child Health and Nutrition in Acre, Brazil.

Data collection

The first research assessment of pregnant women was scheduled between 16 and 20 weeks of pregnancy to collect clinical data, blood samples and additional health and lifestyle information. Ultrasound examinations were carried out to confirm gestational age (GA) and measure foetal growth (figure 2). These assessments took place between March 2015 and March 2016 and were scheduled based on the last menstrual period. The ultrasound examination at the first assessment was used to estimate GA during the follow-up. A second assessment was held from May 2015 to May 2016, at about 28 weeks of pregnancy.
Figure 2

Schematic representation of the MINA-Brazil cohort design and measures. MINA-Brazil, Maternal and Child Health and Nutrition in Acre, Brazil

Schematic representation of the MINA-Brazil cohort design and measures. MINA-Brazil, Maternal and Child Health and Nutrition in Acre, Brazil In the delivery phase, all live and stillbirths of women living in Cruzeiro do Sul occurring in the Women’s and Children’s Hospital of Juruá Valley were identified through daily visits. The research team visited mothers within the first 12 hours after delivery, before hospital discharge, to explain the cohort study protocol and invite them to participate. On acceptance, an interview was held to collect data on socioeconomic, environmental and gestational characteristics and obstetric history. Tablets programmed with CSPro (US Census Bureau, ICF International) were used for data entry. Maternal blood samples (~90% of participants) and umbilical cord blood samples of neonates (~50% of participants) were collected. During follow-up, phone interviews on morbidities and feeding practices were carried out within 30–45 days and at 3 months after delivery, between August 2015 and September 2016. At 6 months (from January to December 2016), 1 year (from August 2016 to July 2017) and 2 years of age (from August 2017 to July 2018), the anthropometric evaluation of infants and their mothers was measured during follow-up visits. A structured questionnaire was administered to children’s mothers or guardians to update mother and child’s socioeconomic and demographic characteristics, birth-related variables, infant feeding practices and other behaviours. Blood and faecal samples of children were collected at 1 and 2 years. Oral health examination was done by two research paediatric dentists at 2-year follow-up.

Questionnaires and measures

At the maternity hospital, research assistants interviewed each mother before discharge using a semistructured electronic questionnaire. Data were collected on: (1) socio-demographic status: maternal age, self-reported skin colour defined by the Demographic Census of the Brazilian Institute of Geography and Statistics (white, mulatto, black, yellow and indigenous), years of schooling, living with a partner, receiving assistance from the Bolsa Família conditional cash transfer programme, maternal occupation and ownership of household assets; (2) environmental variables: household water supply, sanitation facilities, number of people living in the house and type and number of rooms in the house; (3) clinical and obstetric history: menarche age, previous foetal losses, parity, self-reported morbidity such as diabetes, chronic or gestational hypertension and antenatal urinary tract infections, antenatal micronutrient supplementation (none, iron–folic acid or multiple micronutrients), number of antenatal care visits and maternal smoking and alcohol consumption. Furthermore, participants consented to the linkage of their MINA-Brazil study data to hospital data. From the hospital records, data were gathered on the total number of antenatal care visits, history of malaria during pregnancy, GA at delivery, type of delivery (vaginal or caesarean) and the child’s sex, birth weight and length. All maternity staff involved in newborn care received training from the research investigators on newborn anthropometric measurements.11 The newborn birth weight was measured to the nearest 0.005 kg using a Toledo Júnior portable scale (São Bernardo do Campo, Brazil) with 15 kg capacity. Length and head circumference were measured with an inextensible measuring tape (SECA, model 218). Information on household assets was used to calculate a wealth index from principal component analysis, which was divided into quintiles, as a proxy of socioeconomic status for each household.12 Total gestational weight gain was calculated by subtracting the reported prepregnancy weight from the prebirth weight and further categorised according to the prepregnancy body mass index (BMI) as insufficient, adequate or excessive based on Institute of Medicine protocol.13 Regarding GA, an ultrasound-confirmed antenatal estimate taken by our research team was available for 34% of the mothers, with an acceptable mean difference in comparison with hospital records (0.43 week; 95% CI 0.32 to 0.53, according to Bland-Altman analysis).10 Z-scores for birth weight, length and head circumference were obtained using the Intergrowth-21st Project references for GA and sex.14 Table 1 summarises the information collected by questionnaires, physical measurements and estimates of biological samples from mothers and children of the MINA-Brazil birth cohort study. Field nurses and research assistants were trained by study investigators to carry out interviews, anthropometric measurements and biological samples collection and processing. Supervisors routinely checked all information and gave feedback to research team members to correct inconsistencies whenever necessary. In addition to clinical and epidemiological data, samples collected by the MINA-Brazil study include plasma, serum, and extracted DNA from blood and faeces, which are stored in a biobank.
Table 1

Number of participants and information collected by questionnaires, physical measurements and biological samples from mothers and children of the MINA-Brazil birth cohort study

VariablesPregnancyDeliveryChildren’s follow-up
30–90 Days6 Months1 Year2 Years
Number of participants5451246964795784868
General characteristics, lifestyle and morbidity questionnaires
Maternal blood pressure, prepregnancy weight, gestational weight gain
Maternal screening depression questionnaire
Fetal growth measures
Length, weight and head circumference
Breast feeding and complementary feeding practices
MOS questions
The Edinburgh Postnatal Depression Scale (mothers)
Denver II Screening Test for neuropsychomotor development
Oral health screening
Dietary intakes and lifestyle (mothers)
Blood collection (mothers)100%~90%
DNA samples and biochemical indicators
Blood collection (children)~50%~70%~80%
DNA samples and biochemical indicators
Retal swab for microbiome analysis

MINA-Brazil, Maternal and Child Health and Nutrition in Acre, Brazil ; MOS, Medical Outcomes Study.

Number of participants and information collected by questionnaires, physical measurements and biological samples from mothers and children of the MINA-Brazil birth cohort study MINA-Brazil, Maternal and Child Health and Nutrition in Acre, Brazil ; MOS, Medical Outcomes Study.

Study visits during pregnancy

During pregnancy, two clinical, anthropometric and laboratory assessments were conducted, including collecting obstetric history, personal and family history of disease, height, weight, blood pressure and blood tests. The Self-Reporting Questionnaire-20 for assessment of common mental disorders among pregnant women15 16 was applied by trained research assistants. We assessed maternal anthropometry, biochemical measurements (haemoglobin concentrations and blood count, fasting plasma glucose, insulin, C-reactive protein, alpha-1-acid glycoprotein (AGP) and serum retinol, vitamin D, β-carotene and ferritin) and conducted ultrasound exams. Maternal height was measured to the nearest 0.1 cm, and the pre-pregnancy BMI (kg/m2) was calculated following the WHO recommendations.17 The ultrasound examination was performed by trained physicians using a portable SonoSite Titan equipment (SonoSite, Bothell, Washington, USA). An expert obstetrician not involved with the fieldwork reviewed all images. In each ultrasound examination, field physicians were aware of participant’s last menstrual period and ascertained foetal biometric parameters in cephalic (biparietal diameter, occipitofrontal diameter and head circumference), abdominal (transverse abdominal diameter, anterior–posterior abdominal diameter and abdominal circumference) and femoral (femoral length) planes, following standardised procedures,18 using a self-scoring system for quality criteria for image acquisition.19

Childhood follow-up

Information including the mother’s history of disease, socioeconomic and lifestyle factors and illicit drug use was updated during childhood follow-up assessments. The Medical Outcomes Study questions,20 which have been validated in Brazil,21 were applied to register mother’s perception of social support during the puerperium follow-up. The Edinburgh Postnatal Depression Scale,22 a set of 10 questions previously validated in Brazil,23 was used in the 3 month, 6 month, 1 year and 2-year follow-up assessments for screening mother’s depression symptoms. Maternal habitual diets were assessed only at two visits (during pregnancy and at 2-y follow-up) to avoid information overload. During childhood follow-up (figure 2), trained fieldworkers updated socioeconomic and demographic information, assessed infant feeding practices (including bottle and pacifier use) and recorded the occurrence of morbidities since birth. Anthropometric measurements were acquired in duplicate from children and their mothers, using standardised procedures and calibrated equipment.17 Participants were barefoot and wearing light clothes for all measurements; diapers were removed from children. Child’s recumbent length was measured to the nearest millimetre on a horizontal infant measuring board laid on a flat and firm surface. Maternal height and weight were measured, respectively, with a portable stadiometer with 0.1 mm precision and a digital electronic scale with 150 kg capacity and 100 g precision (UM061, Tanita Corporation). Then, a combined weight of mother and child was obtained; child’s weight was calculated from the difference between the combined weight measure and maternal weight. The head circumference was measured in duplicate with an inextensible tape (SECA, model 218), passed through the widest part of the child’s head reaching to the top of the eyebrow.24 Between duplicates, maximum differences of 0.2 mm and 100 g were allowed for length/height/head circumference and weight measurements, respectively, and the mean values were calculated. Child anthropometric indexes in z-scores were calculated according to age and sex with the WHO Child Growth Standards.25 At 1-year and 2-year follow-up assessments, neuropsychomotor development was evaluated using the Denver II screening test,26 27 adapted to the Brazilian population.28 Blood samples were collected for biochemical measurements (haemoglobin concentrations and blood count, plasma C-reactive protein and AGP and serum retinol, vitamin D, folate and ferritin) and blood DNA extraction at both 1-year and 2-year follow-up assessments. We also collected stool samples from children’s anal swabs during clinic study visits at 1-year and 2-year follow-ups for gut microbiota analyses (table 1). The DNA extraction from stool samples was performed using the ZymoBiomicsTM DNA Miniprep Kit (Zymo Research Corp, Irvine, California, USA) following the kit instructions. The DNA quality control and library preparation, and sequencing of the V4 region of the 16S ribosomal RNA gene on a MiSeq sequence (Illumine Inc) were performed using standard procedures in a blinded fashion by Macrogen Inc (Macrogen Korea, Seoul, Republic of Korea). At 2-year follow-up, two research paediatric dentists performed oral health examinations. Dental caries was diagnosed according to the WHO criteria29 and calculated in terms of decayed deciduous teeth, extracted due to caries or sealed. Defects of enamel on primary teeth were classified according to the modified index proposed by the International Dental Federation.30

Malaria status

Information about the number of malaria episodes experienced by mothers during pregnancy and by infants over their first years of life was retrieved from the electronic malaria notification system of the Ministry of Health of Brazil.10

Communication strategies

The following strategies were implemented to establish project identity, promote high participation and retain participants in all study waves to minimise loss to follow-up: Information folders were distributed in all health facilities, cohort member cards (with the project’s logo) were provided for each mother and child and all personnel working on the project wore t-shirts with the project’s logo. Trained interviewers made telephone calls to reach the participants or their relatives on different time and days of the week, including weekends and holidays, for scheduling the assessments. Text messaging was sent to the participants 1 day before the scheduled clinic visit as a reminder. The research team provided personalised feedback about the child’s nutritional evaluations to each mother or caregiver. Children with anaemia, overweight, underweight, stunting and/or suspected neurodevelopmental delay were scheduled for additional appointments with research clinicians for treatment or complementary healthcare in partnership with the local community health workers. At 2-year follow-up, a social media community was created on Facebook to strengthen interactions with and between the study participants (n=450). Research assistants were trained to keep regular communication with the families and promptly respond to any questions. For the families we could not reach by telephone calls/WhatsApp or Facebook, a local post office worker was trained by the research team to visit reported addresses and schedule home visits with the participant’s family or their relatives and friends. These combined strategies (telephone and home visits) implemented at 2-year follow-up improved the response rate from 63.1% to 69.9%. During 1-year and 2-year follow-ups, children who provided biological samples received laboratory results by regular mail, WhatsApp or Facebook messages.

Patient and public involvement

The patients had no role in the design, recruitment and conduct of the study. Participants (children’s mothers or guardians) have being informed on the project’s main results by flyers, WhatsApp or Facebook messages.

Findings to date

Baseline characteristics

Table 2 shows the characteristics of the MINA-Brazil study participants: mothers and their children at prenatal and early childhood assessments. At birth, the mean maternal age was 24.8 years (19% were adolescents, aged from 13 to 19 years old), with an average of 10.4 years of schooling. Compared with participants at birth, the proportion (95% CI) of participants from poorest families declined from 24.9% (22.5 to 27.4) at birth to 19.3% (16.8 to 22.1) at 2 years; however, average years of maternal schooling, proportion of primiparous mothers, type of delivery, child’s sex, low birth weight, and preterm birth were similar among participants who remained in the study and those lost to follow-up at each survey wave. Maternal working status was updated over time, increasing the proportion (95% CI) of paid job from 30.2% (27.7 to 32.9) at birth to 40.5% (37.2 to 43.8) at 2 years. At baseline, 78% of the mothers were living with a partner; of them, 54% had less than 9 years of schooling. Based on information updated during follow-up, maternal education also improved, with the mean years of schooling increasing from 10.4 (10.2 to 10.6) at birth to 11.8 (11.6 to 12.1) at 2-year follow-up (data not shown in table).
Table 2

Characteristics of mother–child pairs enrolled in the MINA-Brazil birth cohort study

CharacteristicsPregnancy*BirthPuerperium6Months1Year2Years
NPercent or mean (95% CI)NPercent or mean (95% CI)NPercent or mean (95% CI)NPercent or mean (95% CI)NPercent or mean (95% CI)NPercent or mean (95% CI)
Maternal age (years)54524.8 (24.2 to 25.3)122424.9 (24.5 to 25.2)96424.9 (24.5 to 25.3)78126.0 (25.5 to 26.4)77426.6 (26.1 to 27.0)85427.5 (27.1 to 27.9)
Maternal schooling at delivery (years)52310.5 (10.2 to 10.7)115510.4 (10.2 to 10.6)82010.0 (9.8 to 10.2)74510.8 (10.4 to 11.1)74410.7 (10.5 to 10.9)81710.9 (10.6 to 11.0)
Wealth index at delivery
Poorest13625.0 (21.5 to 28.8)29624.9 (22.5 to 27.4)20423.6 (20.9 to 26.6)16721.8 (19.0 to 24.8)14519.0 (16.4 to 22.0)16219.3 (16.8 to 22.1)
Second13925.6 (22.1 to 29.4)29925.1 (22.7 to 27.7)21524.9 (22.1 to 27.9)18924.6 (21.7 to 27.8)19826.0 (23.0 to 29.2)21225.3 (22.5 to 28.3)
Third13324.4 (21.0 to 28.5)29725.9 (22.6 to 27.5)22325.8 (23.0 to 28.8)20026.1 (23.1 to 29.3)19625.7 (22.7 to 29.0)21725.9 (23.0 to 28.9)
Wealthiest13625.0 (21.5 to 28.8)29925.1 (22.7 to 27.7)22225.7 (22.9 to 28.7)21127.5 (24.5 to 30.8)22329.3 (26.1 to 32.6)24829.5 (26.6 to 32.7)
Maternal working status
Paid job17732.5 (28.7 to 36.6)36030.2 (27.7 to 32.9)25729.7 (26.7 to 32.8)24331.1 (28.0 to 34.5)26034.2 (30.9 to 37.6)34540.5 (37.2 to 43.8)
Not working36767.5 (63.4 to 71.3)83169.8 (67.1 to 72.3)60970.3 (67.2 to 73.3)53868.9 (65.5 to 72.0)50165.8 (62.4 to 69.1)50759.5 (56.2 to 62.8)
Parity
Primiparous24144.3 (40.2 to 48.5)49841.8 (39.0 to 44.6)35741.2 (38.0 to 44.5)31240.7 (37.3 to 44.2)32242.3 (38.8 to 45.8)34340.9 (37.6 to 44.3)
Multiparous30355.7 (51.5 to 59.8)69358.2 (55.4 to 61.0)50958.8 (55.5 to 62.0)45559.3 (55.8 to 62.8)44057.7 (54.2 to 61.2)83959.1 (55.8 to 62.4)
Delivery
Vaginal29554.1 (49.9 to 58.3)66053.9 (51.1 to 56.7)54456.4 (53.3 to 59.5)40652.0 (48.5 to 55.5)40251.9 (48.4 to 55.5)45252.9 (49.6 to 56.3)
C-section25045.9 (41.7 to 50.1)56446.1 (43.3 to 48.9)42043.6 (40.5 to 46.7)37548.0 (44.5 to 51.5)37248.1 (44.6 to 51.6)40247.1 (43.7 to 50.4)
Child’s sex
Female26549.0 (44.8 to 53.2)61850.5 (47.7 to 53.3)49251.0 (47.9)40652.0 (48.5 to 55.5)40452.2 (48.7 to 55.7)42750.0 (46.7 to 53.4)
Male27651.0 (46.8 to 55.2)60649.5 (46.7 to 52.3)47249.0 (45.8 to 52.1)37548.0 (44.5 to 51.5)37047.8 (44.3 to 51.3)42750.0 (46.7 to 53.4)
Birth weight (g)
<2500 g438.0 (6.0 to 10.6)867.0 (5.7 to 8.6)666.9 (5.4 to 8.6)557.0 (5.4 to 9.1)496.3 (4.8 to 8.3)586.8 (5.3 to 8.7)
2500–349934263.5 (59.3 to 67.4)77563.4 (60.6 to 66.0)62765.2 (62.1 to 68.1)48562.1 (58.6 to 65.5)48562.7 (59.3 to 66.1)53362.5 (59.2 to 65.7)
≥350015428.6 (24.9 to 32.6)36229.6 (27.1 to 32.2)26928.0 (25.2 to 30.9)24130.9 (27.7 to 34.2)23930.9 (27.8 to 34.3)26230.7 (27.7 to 33.9)
Preterm birth448.1 (6.1 to 10.8)1048.5 (7.1 to 10.2)788.1 (6.5 to 10.0)607.7 (6.0 to 9.8)607.8 (9.0 to 9.4)688.0 (9.0 to 9.4)
Breast feeding115394.2 (92.7 to 95.4)94297.7 (96.6 to 98.5)64883.0 (80.2 to 85.5)53769.4 (66.0 to 72.5)29534.5 (31.4 to 37.8)
Total5451224964781774854
Twins2214141014

*Data for the subsample of participants whose mothers were recruited during pregnancy.

MINA-Brazil, Maternal and Child Health and Nutrition in Acre, Brazil.

Characteristics of mother–child pairs enrolled in the MINA-Brazil birth cohort study *Data for the subsample of participants whose mothers were recruited during pregnancy. MINA-Brazil, Maternal and Child Health and Nutrition in Acre, Brazil. The MINA-Brazil study is ongoing. To date, we have published few papers on baseline data.10 11 31–34 Key reports included poor serum retinol status observed throughout pregnancy31 found to be negatively associated with maternal haemoglobin (β −3.30 g/L; 95% CI −6.4 to –0.20) and newborn birth weight (β −0.10 kg; 95% CI −0.20 to –0.00).11 According to WHO, 7.8% and 41.8% of all pregnancies worldwide are affected by gestational night blindness and anaemia, respectively.35 36 In the MINA-Brazil study, a high prevalence of gestational night blindness (11.5%; 95% CI 9.97% to 13.25%) and maternal anaemia (39.4%; 95% CI 36.84% to 41.95%) was found at delivery.32 Maternal anaemia was associated with maternal age <19 years (adjusted prevalence ratio 1.18; 95% CI 1.01 to 1.38), not taking micronutrient supplements during pregnancy (1.27; 95% CI 1.01 to 1.62), attending <6 antenatal care visits (1.40; 95% CI 1.15 to 1.70) and gestational malaria (1.22; 95% CI 1.01 to 1.49).32 Antenatal malaria episodes (74.6% of Plasmodium vivax) were diagnosed in 8.0% of the women and were associated with an average reduction in birth weight z-scores of 0.35 (95% CI 0.14 to 0.57) and in birth length z-scores of 0.31 (95% CI 0.08 to 0.54), compared with malaria-free pregnancies.10 At 30 days of age, 36.7% of the studied children (95% CI 33.6% to 39.8%) were exclusively breastfed, with a median duration of 16 days. The use of a pacifier and the occurrence of wheezing were associated with a reduced time ratio (TR) for exclusive breast feeding duration by 33% (TR 0.67; 95% CI 0.58 to 0.77) and 19% (TR 0.80; 95% CI 0.70 to 0.93), respectively.33 At 1 year of age, 2.2% of children were stunted and 6.6% overweight. Maternal height and BMI were positively associated with infant linear growth (p for trend <0.001). Children with at least one reported malaria episode within the first year of life were 0.58 (95% CI 1.05 to 0.11) z-score shorter. Other reports are under review or in preparation.

Future plans

Similar interviews, anthropometric measurements and biospecimens collection are planned at the 5-year follow-up visit in 2021. Based on the retention rate of the first 2 years of follow-up (79.5%) and our previous research experience in the Amazon region, we expect to achieve an average retention rate around 70%. Given the dataset available, the MINA-Brazil cohort study aims at continuing the use of a life-cycle approach to recognise the importance of nutrition from early stages of life. A major challenge for current scientific knowledge and evaluation of actions in child health is the investigation of early determinants (exposures in pregnancy and in the first 2 years of life) for promoting adequate growth and development without excessive weight gain throughout childhood. The findings may provide new insights into biological mechanisms linking the prenatal and postnatal risk factors for childhood development. Collaboration with other independent birth cohorts from different regions and ethnicities will provide an innovative effort to validate the results and increase their generaliability.

Strengths and limitations

The MINA-Brazil cohort is the first population-based delivery sampling frame with longitudinally collected biological samples and measurements carried out in the Amazon. At delivery, women living in rural settings were enrolled in the study allowing prevalence estimates of important maternal and child health indicators. However, at follow-up visits, the cohort population was limited to suburban and urban area residents due to difficult access to Amazonian rural areas. Nevertheless, scheduling follow-up assessments was challenging for all participants due to the local context (ie, poor internet connection, lack of street labels for many addresses and intermittent mobile signal). Additionally, loss to follow-up was more likely among poorer families. This may be attributable to the fact that poor families move more often than wealthier families. At 2-year follow-up, data collection strategies combining telephone calls, WhatsApp, social media community and home visits minimised losses of follow-up.

Collaboration

The MINA-Brazil data are not yet openly available. A repository database is being organised at the University of São Paulo where future published papers will be made available (https://uspdigital.usp.br/repositorio/). Researchers who are interested in potential collaboration should contact the principal investigator Marly A Cardoso (marlyac@usp.br) to complete a research plan for evaluation by the MINA-Brazil study steering committee.
  29 in total

1.  The MOS social support survey.

Authors:  C D Sherbourne; A L Stewart
Journal:  Soc Sci Med       Date:  1991       Impact factor: 4.634

2.  [Performance of the Self-Reporting Questionnaire as a psychiatric screening questionnaire: a comparative study with Structured Clinical Interview for DSM-IV-TR].

Authors:  Daniel Maffasioli Gonçalves; Airton Tetelbon Stein; Flavio Kapczinski
Journal:  Cad Saude Publica       Date:  2008-02       Impact factor: 1.632

3.  Factors Associated with Age at Breastfeeding Cessation in Amazonian Infants: Applying a Proximal-Distal Framework.

Authors:  Annie D Kearns; Marcia C Castro; Bárbara H Lourenço; Rosângela A Augusto; Marly A Cardoso
Journal:  Matern Child Health J       Date:  2016-07

4.  BMI gain and insulin resistance among school-aged children: a population-based longitudinal study in the Brazilian Amazon.

Authors:  Barbara H Lourenço; Suely G A Gimeno; Marly A Cardoso
Journal:  Br J Nutr       Date:  2014-10-08       Impact factor: 3.718

5.  A continuous-scale measure of child development for population-based epidemiological surveys: a preliminary study using Item Response Theory for the Denver Test.

Authors:  Maria de Lourdes Drachler; Tom Marshall; José Carlos de Carvalho Leite
Journal:  Paediatr Perinat Epidemiol       Date:  2007-03       Impact factor: 3.980

Review 6.  Effect of women's nutrition before and during early pregnancy on maternal and infant outcomes: a systematic review.

Authors:  Usha Ramakrishnan; Frederick Grant; Tamar Goldenberg; Amanda Zongrone; Reynaldo Martorell
Journal:  Paediatr Perinat Epidemiol       Date:  2012-07       Impact factor: 3.980

7.  Developmental status at age 12 months according to birth weight and family income: a comparison of two Brazilian birth cohorts.

Authors:  Ricardo Halpern; Aluísio J D Barros; Alicia Matijasevich; Iná S Santos; Cesar G Victora; Fernando C Barros
Journal:  Cad Saude Publica       Date:  2008       Impact factor: 1.632

8.  International standards for newborn weight, length, and head circumference by gestational age and sex: the Newborn Cross-Sectional Study of the INTERGROWTH-21st Project.

Authors:  José Villar; Leila Cheikh Ismail; Cesar G Victora; Eric O Ohuma; Enrico Bertino; Doug G Altman; Ann Lambert; Aris T Papageorghiou; Maria Carvalho; Yasmin A Jaffer; Michael G Gravett; Manorama Purwar; Ihunnaya O Frederick; Alison J Noble; Ruyan Pang; Fernando C Barros; Cameron Chumlea; Zulfiqar A Bhutta; Stephen H Kennedy
Journal:  Lancet       Date:  2014-09-06       Impact factor: 79.321

Review 9.  Measuring head circumference: Update on infant microcephaly.

Authors:  Susan R Harris
Journal:  Can Fam Physician       Date:  2015-08       Impact factor: 3.275

10.  Associations of linear growth and relative weight gain during early life with adult health and human capital in countries of low and middle income: findings from five birth cohort studies.

Authors:  Linda S Adair; Caroline H D Fall; Clive Osmond; Aryeh D Stein; Reynaldo Martorell; Manuel Ramirez-Zea; Harshpal Singh Sachdev; Darren L Dahly; Isabelita Bas; Shane A Norris; Lisa Micklesfield; Pedro Hallal; Cesar G Victora
Journal:  Lancet       Date:  2013-03-28       Impact factor: 79.321

View more
  5 in total

1.  SARS-CoV-2 seropositivity and COVID-19 among 5 years-old Amazonian children and their association with poverty and food insecurity.

Authors:  Marcelo U Ferreira; Isabel Giacomini; Priscila M Sato; Barbara H Lourenço; Vanessa C Nicolete; Lewis F Buss; Alicia Matijasevich; Marcia C Castro; Marly A Cardoso
Journal:  PLoS Negl Trop Dis       Date:  2022-07-18

2.  Predictors of 25-hydroxyvitamin D concentrations during pregnancy: A longitudinal analysis in the Brazilian Amazon.

Authors:  Caroline Zani Rodrigues; Thaís Carlos Correia; Paulo Augusto Ribeiro Neves; Maíra Barreto Malta; Marly Augusto Cardoso; Bárbara Hatzlhoffer Lourenço
Journal:  Eur J Clin Nutr       Date:  2022-02-21       Impact factor: 4.884

3.  Leisure-time physical activity in Amazonian pregnant women and offspring birth weight: A prospective cohort study.

Authors:  Maíra B Malta; Paulo A R Neves; Bárbara H Lourenço; Maria Helena D A Benício; Guilherme L Werneck; Marcia C Castro; Marly A Cardoso
Journal:  PLoS One       Date:  2022-03-16       Impact factor: 3.240

4.  Silent circulation of Chikungunya virus among pregnant women and newborns in the Western Brazilian Amazon before the first outbreak of chikungunya fever.

Authors:  Kelly Aparecida Kanunfre; Mussya Cisotto Rocha; Maíra Barreto Malta; Rodrigo Medeiros de Souza; Marcia Caldas Castro; Silvia Beatriz Boscardin; Higo Fernando Santos Souza; Steven S Witkin; Marly Augusto Cardoso; Thelma Suely Okay
Journal:  Rev Inst Med Trop Sao Paulo       Date:  2022-04-04       Impact factor: 1.846

5.  Common mental disorders in pregnancy and postnatal depressive symptoms in the MINA-Brazil study: occurrence and associated factors.

Authors:  Bruno Pereira da Silva; Alicia Matijasevich; Maíra Barreto Malta; Paulo A R Neves; Maria Cristina Mazzaia; Maria Cristina Gabrielloni; Márcia C Castro; Marly Augusto Cardoso
Journal:  Rev Saude Publica       Date:  2022-09-26       Impact factor: 2.772

  5 in total

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