Maternal Dietary Patterns during Third Trimester in Association with Birthweight Characteristics and Early Infant Growth

Poon, Anna K.; Yeung, Edwina; Boghossian, Nansi S.; Albert, Paul S.; Zhang, Cuilin

doi:10.1155/2013/786409

Cited by 71 publications

(138 citation statements)

References 30 publications

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“…When data from the Infant Feeding Practices Study II were used, no association was demonstrated between maternal diet during pregnancy and change in weight for length from 4 to 6 mo of age (14). Infant weight and length were collected from the motherÕs report from 2 Represents a high probability of consuming peaches, strawberries, canned fruits, broccoli, green beans or peas, corn, cabbage or coleslaw, white potatoes, sweet potatoes, refined grains, red and processed meats, pizza, french fries, sweets, salty snacks, and soft drinks.…”

Section: Discussionmentioning

confidence: 98%

“…Only one other study, to our knowledge, has investigated the association between maternal dietary patterns during pregnancy and child growth trajectory (14). When data from the Infant Feeding Practices Study II were used, no association was demonstrated between maternal diet during pregnancy and change in weight for length from 4 to 6 mo of age (14).…”

Section: Discussionmentioning

confidence: 98%

“…To our knowledge, only one study has examined maternal dietary patterns during pregnancy and early childhood growth patterns. In this study, Poon et al (14) assessed the association between adherence to 2 a priori dietary patterns, the Alternative Healthy Eating Index and the Mediterranean diet, in relation to change in child weight-for-length z score from 4 to 6 mo of age and found no association. It is possible that the follow-up period was insufficient to observe an effect and that a longer study period is needed.…”

Section: Introductionmentioning

confidence: 91%

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Maternal Dietary Patterns during Pregnancy Are Associated with Child Growth in the First 3 Years of Life

Martin

Siega‐Riz

Sotres-Álvarez

et al. 2016

The Journal of Nutrition

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Section: Discussionmentioning

confidence: 98%

Section: Discussionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 91%

See 1 more Smart Citation

Maternal Dietary Patterns during Pregnancy Are Associated with Child Growth in the First 3 Years of Life

Martin

Siega‐Riz

Sotres-Álvarez

et al. 2016

The Journal of Nutrition

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“…First, the cross-sectional design of the study does not allow for establishing causal relationships. Also, the FFQ previously validated for adults (20) was not developed for pregnancy; however, epidemiological studies have shown that FFQ can be used to measure nutritional dietary intake during pregnancy with acceptable validity and reproducibility (7,10) , including in Brazil (37) . Finally, the 0·018 0·471 − 0·031, 0·067 0·035 0·169 − 0·014, 0·084 0·033 0·180 − 0·015, 0·080 Family income ($US) † 0·0003 0·007 0·0001, 0·0005 0·0001 0·259 − 0·0001, 0·0003 − 0·0003 0·025 − 0·0005, 0·0003 Parity (n) − 0·083 0·041 − 0·163, −0·003 − 0·015 0·715 − 0·095, 0·065 0·142 <0·001 0·065, 0·219 Marital status 0·023 0·688 − 0·090, 0·136 0·002 0·977 − 0·111, 0·115 0·125 0·026 0·015, 0·236 Skin colour 0·015 0·761 − 0·084, 0·114 − 0·026 0·600 − 0·125, 0·072 0·021 0·678 − 0·077, 0·118 Adjusted Age (years) 0·021 0·058 − 0·001, 0·042 − 0·017 0·075 − 0·037, 0·003 − 0·018 0·061 − 0·037, 0·001 Schooling (years) 0·019 0·406 − 0·026, 0·065 0·025 0·132 − 0·018, 0·067 0·010 0·628 − 0·030, 0·050 Family income ($US) † 0·0006 0·011 0·0001, 0·001 0·0004 0·090 − 0·0001, 0·001 − 0·0004 0·102 − 0·001, 0·0001 Parity (n) − 0·097 0·030 − 0·184, −0·009 0·007 0·861 − 0·074, 0·089 0·098 0·012 0·021, 0·175 Marital status ‡ 0·030 0·588 − 0·078, 0·137 0·0004 0·993 − 0·100, 0·101 0·073 0·131 −0·022, 0·168 *The models were adjusted for total energy intake and pre-gestational BMI.…”

Section: Discussionmentioning

confidence: 99%

Sociodemographic characteristics determine dietary pattern adherence during pregnancy

Castro¹,

Freitas-Vilela²,

Oliveira³

et al. 2015

Public Health Nutr.

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Objective: Sociodemographic factors may affect adherence to specific dietary patterns during pregnancy. The present study aimed to identify dietary patterns during pregnancy and associated factors among Brazilian pregnant women. Design: A cross-sectional analysis. Dietary intake was evaluated with a semiquantitative FFQ during the first postpartum week; the time frame included the second and third gestational trimesters. Principal component analysis was used to identify dietary patterns during pregnancy. Sociodemographic data were obtained using a structured questionnaire. Multiple linear regressions were applied to test the associations between the sociodemographic factors and dietary patterns. Setting: Mesquita, Rio de Janeiro, Brazil, 2011. Subjects: Postpartum women (n 327) who were 18-45 years of age and Mesquita residents. Results: Three different dietary patterns were identified: 'healthy' (mainly comprising legumes, vegetables and fruits), 'mixed' (mainly comprising candy, butter and margarine, and snacks) and 'traditional' (mainly comprising beans and rice). Women with a higher monthly per capita family income (β = 0·0006; 95 % CI 0·0001, 0·001; P = 0·011) and women of older age (β = 0·021; 95 % CI −0·001, 0·042; P = 0·058) were more likely to adhere to the 'healthy' dietary pattern. Women with higher parity were less likely to adhere to the 'healthy' pattern (β = − 0·097; 95 % CI −0·184, −0·009; P = 0·030) and were more likely to adhere to the 'traditional' pattern (β = 0·098; 95 % CI 0·021, 0·175; P = 0·012). Although not statistically significant, older women were less likely to adhere to the 'mixed' (β = − 0·017; 95 % CI −0·037, 0·003; P = 0·075) and 'traditional' (β = − 0·018; 95 % CI −0·037, 0·001; P = 0·061) dietary patterns. Conclusions: Monthly per capita family income, parity and maternal age were factors associated with adherence to a healthy diet during pregnancy.

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“…Early onset sepsis is presumably due to parental risk factors due to bacteria acquired before and during delivery and overall maternal genital tract as the main source of infection (5,6). Possible risk factors for EOS include low birth weight (LBW) (< 2500 grams) (7) or prematurity, maternal febrile due to bacterial infection during the two weeks before delivery, meconium stained liquor, prolonged rupture of membranes (PROM) for more than 18 hours and maternal chorioamnionitis or intraamniotic infection, which is defined as maternal leukocytosis (> 15000/mm), fever (> 38°C), uterine tenderness, tachycardia (> 100/min), fetal tachycardia (> 160/min) and purulent amniotic fluid (AF), prolonged labor, defined by more than 24 hours for each stage, and prenatal asphyxia (5,6). Late onset sepsis is related to bacteria acquired after delivery from nosocomial or community sources (5).…”

Section: Introductionmentioning

confidence: 99%

Assessing the Role of Clinical Manifestations and Laboratory Findings in Neonatal Sepsis

Hematyar

Najibpour

Bayesh

et al. 2016

Arch Pediatr Infect Dis

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Background: Neonatal sepsis is one of the major causes of morbidity and mortality in newborns. Since early diagnosis of neonatal septicemia is important for timely initiation of correct antimicrobial therapy and considering the existence of variability in nonspecific clinical laboratories, we assessed the role of clinical manifestations and laboratory findings to find the right diagnosis. Objectives: The aim of this study was to evaluate, record and rank the clinical manifestations and lab data of neonates with clinical sepsis. Methods: In a cross sectional descriptive prospective study in 2013, a total of 110 consecutive infants with clinical manifestations of sepsis were studied in two groups including early onset sepsis (EOS) taking place at 72 hours of age or younger, and late onset sepsis (LOS) occurring after 72 hours. Check list of infant's data, presenting symptoms or signs and laboratory data in both groups were evaluated and recorded. Significant differences were set at as P < 0.05. Results: Overall, 81.8% of infants had EOS while 18.2% of infants had LOS. The mean age at the time of EOS and LOS presentation was one to two days and four to twelve days, respectively. The most common clinical manifestations were respiratory distress in 49 (44.5%), jaundice in 28 (25.5%), vomiting in 26 (23.6%) and poor feeding in 23 (20.9%) of the infants. Other clinical manifestations were lethargy (weakness), decreased sucking reflex, fever, tremor, abdominal distention and seizure, found in 12 (10.9%), 10 (9.1%), 4 (3.6%), 4 (3.6%), 3 (2.7%) and 2 (1.8%) neonates, respectively. Early Onset Sepsis was considerably associated with respiratory distress (P < 0.001), while LOS in neonates was followed by jaundice (P < 0.001), seizure (P = 0.02) and fever (P < 0.001). Anemia, leukocytopenia, leukocytosis, thrombocytopenia and C-reactive protein (CRP) positive results and blood culture was detected in 36 (32.7%), 2 (1.8%), 0 (0%), 2 (1.8%), 19 (17.3%) and 110 (100 %) neonates, respectively. Cerebrospinal Fluid (CSF) cultures were negative in all infants. Positive urine culture was seen in 10 (9.1%) infants. Conclusions: Respiratory distress is more common in EOS whereas jaundice, fever and seizure are more likely to be observed in LOS infants. Considering the results, clinical manifestations should be regarded as an important part of early diagnosis of sepsis.

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Maternal Dietary Patterns during Third Trimester in Association with Birthweight Characteristics and Early Infant Growth

Cited by 71 publications

References 30 publications

Maternal Dietary Patterns during Pregnancy Are Associated with Child Growth in the First 3 Years of Life

Maternal Dietary Patterns during Pregnancy Are Associated with Child Growth in the First 3 Years of Life

Sociodemographic characteristics determine dietary pattern adherence during pregnancy

Assessing the Role of Clinical Manifestations and Laboratory Findings in Neonatal Sepsis

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