scholarly journals Associations of maternal weight status prior and during pregnancy with neonatal cardiometabolic markers at birth: the Healthy Start study

2015 ◽  
Vol 39 (10) ◽  
pp. 1437-1442 ◽  
Author(s):  
D J Lemas ◽  
J T Brinton ◽  
A L B Shapiro ◽  
D H Glueck ◽  
J E Friedman ◽  
...  
2016 ◽  
Vol 7 (1) ◽  
pp. 108 ◽  
Author(s):  
Nasrin Omidvar ◽  
Delaram Ghodsi ◽  
Hassan Eini-Zinab ◽  
Arash Rashidian ◽  
Hossein Raghfar

Author(s):  
Xueling Wei ◽  
Peiyuan Huang ◽  
Chang Gao ◽  
Songying Shen ◽  
Si Tu ◽  
...  

2020 ◽  
pp. jech-2019-213419
Author(s):  
Lisa Kakinami ◽  
Bärbel Knäuper ◽  
Jennifer Brunet

BackgroundWhether weight cycling (repeated weight loss and regain) is associated with cardiometabolic health is unclear. Study objective was to examine whether weight cycling since young adulthood (ie, 25 years of age) was associated with cardiometabolic markers.MethodsData from a nationally representative cross-sectional US sample (National Health and Nutrition Examination Survey, 1999–2014) were used. Weight history was based on self-reported weight at age 25, 10 years prior and 1 year prior to the survey (n=4190, 51% male). Using current self-reported weight as the anchor, participants were classified as (1) stable weight, (2) weight losers, (3) weight gainers and (4) weight cyclers. Cardiometabolic markers included fasting lipids, insulin sensitivity and blood pressure. Multiple linear regressions were used to analyse weight history (reference: stable weight) and adjusted for covariates. Analyses incorporated the sampling design and survey weights and were stratified by sex or weight status.ResultsCompared with females with stable weight, female weight cyclers had worse lipids and homeostasis model assessment for insulin resistance (HOMA-IR) (all ps<0.05). Compared with males with stable weight, male weight cyclers had worse high-density lipoprotein cholesterol (HDL) and HOMA-IR (ps<0.05). Weight cyclers with normal weight had worse HDL and low-density lipoprotein cholesterol (ps<0.05), and weight cyclers with overweight or obesity had worse HOMA-IR (p=0.05). Blood pressure was not associated.ConclusionWeight cycling is adversely associated with cardiometabolic markers but associations differ by sex and weight status. While weight cycling is consistently associated with worse cardiometabolic markers among females, results are mixed among males. Weight cycling is associated with worse lipid measures for normal weight persons, and marginally worse insulin sensitivity for those with overweight/obesity.


2011 ◽  
Vol 35 (7) ◽  
pp. 907-915 ◽  
Author(s):  
S Péneau ◽  
B Salanave ◽  
M-F Rolland-Cachera ◽  
S Hercberg ◽  
K Castetbon

Nutrients ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 358 ◽  
Author(s):  
Lindsay Ellsworth ◽  
Harlan McCaffery ◽  
Emma Harman ◽  
Jillian Abbott ◽  
Brigid Gregg

In breastfed infants, human milk provides the primary source of iodine to meet demands during this vulnerable period of growth and development. Iodine is a key micronutrient that plays an essential role in hormone synthesis. Despite the importance of iodine, there is limited understanding of the maternal factors that influence milk iodine content and how milk iodine intake during infancy is related to postnatal growth. We examined breast milk samples from near 2 weeks and 2 months post-partum in a mother-infant dyad cohort of mothers with pre-pregnancy weight status defined by body mass index (BMI). Normal (NW, BMI < 25.0 kg/m2) is compared to overweight/obesity (OW/OB, BMI ≥ 25.0 kg/m2). The milk iodine concentration was determined by inductively coupled plasma mass spectrometry. We evaluated the associations between iodine content at 2 weeks and infant anthropometrics over the first year of life using multivariable linear mixed modeling. Iodine concentrations generally decreased from 2 weeks to 2 months. We observed no significant difference in iodine based on maternal weight. A higher iodine concentration at 2 weeks was associated with a larger increase in infant weight-for-age and weight-for-length Z-score change per month from 2 weeks to 1 year. This pilot study shows that early iodine intake may influence infant growth trajectory independent of maternal pre-pregnancy weight status.


2011 ◽  
Vol 14 (1) ◽  
pp. 65-70 ◽  
Author(s):  
Ruth C. Bindler ◽  
Kenneth B. Daratha

The increase in the prevalence of obesity among youth is alarming. Relationships exist between excess weight and adverse cardiometabolic markers. The aims of this study among adolescents in the Teen Eating and Activity Mentoring in Schools (TEAMS) project were to describe selected demographic characteristics, anthropometric measurements, and laboratory values of middle school students; contrast differences in rates of cardiometabolic markers for participants with body mass index (BMI) ≥ 95th percentile and <95th percentile; examine rates of exceeding cardiometabolic cutoffs by weight status; and predict the odds ratio for one or more adverse cardiometabolic outcomes when BMI ≥95th percentile. Students ( N = 151) were significantly more likely to exceed cut-off points for high-density lipoprotein cholesterol (HDL-C) and blood pressure (BP) when BMI was ≥95th percentile. Students whose BMI was ≥the 95th percentile were nearly five times as likely to have the deleterious cardiometabolic outcomes of low HDL-C, high triglycerides, elevated homeostasis model assessment of insulin resistance (HOMA-IR), or elevated systolic BP than those whose BMI was <the 95th percentile. Nurses and other clinicians should view BMI ≥95th percentile as an indicator of other risk factors that merits additional assessments and interventions to improve health.


2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 977-977
Author(s):  
Andrew Dinsmoor ◽  
Anna Arthur ◽  
Barbara Fiese ◽  
Naiman Khan ◽  
Sharon Donovan

Abstract Objectives The extent to which early life factors predict weight status by age two is unclear. This study elucidated early life factors predictive of BMI-for-age z-score (MN24 BMI) in 2-year-olds in the ongoing STRONG Kids 2 longitudinal study. Methods At registration, 6 weeks, 3, 12, 18, and 24 months, parents (N = 126) completed online surveys (questions derived from CDC Infant Feeding Practices questionnaire, Short Form of the MOS Health survey, and Block Kids Food Frequency Questionnaire (Ages 2–7; Nutrition Quest) for diet MN21–24). Height and weight were collected at home visits. Child BMI-for age z-scores were based on WHO growth standards, and dietary patterns at MN24 were derived by principal component analysis (PCA). Mode of delivery (i.e., vaginal or caesarean), timing of introduction to solids, dietary patterns, child's BMI z-score and feeding methods (i.e., exclusive formula or breastfeeding, or both), and maternal weight were obtained. Multiple regression modelling determined the explanatory power of these factors on MN24 BMI. Results Modelling revealed a significant regression equation (P &lt; .001), with an R2 of .359. MN12 BMI-for-age z-score (MN12 BMI) (β = .555, P &lt; .001) explained 31.2% of the variance in MN24 BMI. Child feeding method at MN3 (β = –.218, P = .003) accounted for 4.7% of the variance in MN24 BMI. Conclusions Children with a greater MN12 BMI have a higher MN24 BMI, while those who undergo breastfeeding at MN3 have a lower MN24 BMI. Future studies will expand on these findings by examining if the predictive power of these early life factors on BMI persists in later life. Funding Sources Grants from the National Dairy Council to Sharon Donovan and Barbara H. Fiese (CoPI's), and the Gerber Foundation and NIH R01 DK107561 to Sharon Donovan.


F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 935
Author(s):  
Md. Sabbir Ahmed ◽  
Sumaia Sahrin ◽  
Fakir Md Yunus

Background: Low Birth Weight (LBW) is a global health concern for childhood mortality and morbidity. The objectives of this study were to assess the association between the number of Antenatal Care Visits (ANC) and LBW among Bangladeshi newborns, and to identify the demographic and socio-economic predictors of LBW.   Methods: Our present cross-sectional study is based on the secondary data of the Bangladesh Demography and Health Survey (BDHS) 2014. Complete data of 4,235 (weighted) mother-child pairs were included in the analysis.   Results: The overall prevalence of LBW among newborns were found to be 19.3% (95% CI: 17.8-20.9). Among the mothers who received antenatal care services 1-3 times during pregnancy, 35% had less possibility of having LBW babies [COR = 0.65, 95% CI: 0.50-0.85]. The association remained significant after adjusting the analysis with the sex of the newborn, administrative regions (division), maternal educational status, mother’s weight status and fathers’ occupation [AOR = 0.74, 95% CI: 0.55-0.99]. Additionally, the sex of the newborn, division, maternal education, maternal weight status, and fathers’ occupational status were found to be significantly associated with LBW.   Conclusion: Increasing the coverage of antenatal services and enabling mothers to receive quality antenatal services may substantially contribute to reducing the prevalence of LBW in Bangladesh.


2019 ◽  
Author(s):  
Achwak Alla ◽  
Salma Benyakhlef ◽  
Hanane Latrech

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