scholarly journals Engagement with and outcomes of a Midwifery-led intervention group for pregnant women of high body mass index

2016 ◽  
Vol 9 (3) ◽  
pp. 120-125 ◽  
Author(s):  
Sarah R Chwah ◽  
Amanda Reilly ◽  
Beverley Hall ◽  
Anthony J O’Sullivan ◽  
Amanda Henry
Keyword(s):  
Body Mass Index ◽  
Pregnant Women ◽  
Body Mass ◽  
Intervention Group ◽  
Group Versus ◽  
High Body Mass Index ◽  
Breastfeeding Initiation ◽  
Retrospective Case ◽  
Significant Difference ◽  
High Bmi

Aims To compare pregnancy care, maternal and neonatal outcomes of women with Body Mass Index (BMI) >30 enrolled in a Weight Intervention Group versus other models of antenatal care. Methods Retrospective, case-control study of mothers with BMI >30 managed with a specialised programme versus age-matched women enrolled in standard models of care. Results One thousand, one hundred and fifteen of 9954 pregnant women with singleton pregnancies, had a BMI >30, of whom 9.6% enrolled in the intervention group. Compared to controls, the intervention group had superior implementation of local high BMI guidelines, including; nutritional /weight gain advice (86% vs. 46%, p < 0.001), regular weighing (80% vs. 33%, p < 0.001), lactation consultant referrals (8% vs. 1%, p = 0.02), third trimester anaesthetic review and ultrasound (50% vs. 20.9%, p = 0.04 and 55% vs. 43%). Initiation of breastfeeding was higher in the intervention group (100% vs. 90%, p = 0.001). No significant difference was noted in Caesarean rate (30% vs 32%) and birthweight (3538 g vs 3560 g). Conclusions Women with high BMI enrolled in a specialised antenatal management programme received increased care, and had superior breastfeeding initiation rates. However, engagement was poor, and no significant differences were noted in antenatal or postnatal complications, mode of birth or neonatal outcome.

The role of the platelet profile in the prediction of gestational diabetes

2021 ◽  
pp. 50-54
Keyword(s):  
Body Mass Index ◽  
Blood Glucose ◽  
Gestational Diabetes ◽  
Pregnant Women ◽  
Body Mass ◽  
First Trimester ◽  
Oral Glucose ◽  
Mean Corpuscular Hemoglobin ◽  
Lymphocyte Ratio ◽  
Significant Difference

Objective: In our study, the results of oral glucose tolerance test (OGTT) and other hemogram parameters of pregnant women with and without gestational diabetes mellitus (GDM) were compared. The aim of our study is to investigate the benefit of these parameters in predicting GDM risk. Material and Method: The study was planned as a descriptive, retrospective and cross-sectional study. It was included 218 pregnant women who applied to the Gynecology and Obstetrics Clinic of Amasya Sabuncuoğlu Şerefeddin Training and Research Hospital between January 01, 2019 and January 31, 2020. It was examined complete blood count parameters, ultrasound findings, complete urinalysis, first trimester blood glucose, body mass index, age, and gravide parameters the patients we included in the study. The results were analyzed retrospectively and was evaluated the statistical significance relationship with gestational diabetes. Results: There was no statistically significant difference in age, body mass index (BMI), obesity status and number of gravida between the pregnant women who were examined and those without GDM (p> 0.05). The hemoglobin, platelet count, mean platelet volume (MPV), mean corpuscular volume (MCV), mean corpuscular hemoglobine (MCH), and mean corpuscular hemoglobin concentration (MCHC) values, and neutrophil, lymphocyte, monocyte and basophil counts, urine density and femur length were statistically significant. There was no difference (p> 0.05). No statistically significant difference was found in terms of neutrophile lymphocyte ratio (NLR), neutrophile monocyte ratio (NMR), platelet lymphocyte ratio (PLR), monocyte eosinophil ratio (MER), platelet MPV ratio (PMPVR), and platelet neutrophile ratio (PNR) values (p> 0.05) Conclusion: HbA1c, hematocrit and blood glucose in the first trimester may be predictors of GDM. In addition, we think that further studies are needed in a prospective design in more patients in terms of others parameters.

scholarly journals Estimated and projected burden of multiple sclerosis attributable to smoking and childhood and adolescent high body-mass index: a comparative risk assessment

2020 ◽  
Author(s):  
Julia Pakpoor ◽  
Klaus Schmierer ◽  
Jack Cuzick ◽  
Gavin Giovannoni ◽  
Ruth Dobson
Keyword(s):  
Risk Factors ◽  
Multiple Sclerosis ◽  
Body Mass Index ◽  
Body Mass ◽  
Early Life ◽  
Time Lag ◽  
Early Adulthood ◽  
High Body Mass Index ◽  
High Body ◽  
High Bmi

Abstract Background Smoking and childhood and adolescent high body-mass index (BMI) are leading lifestyle-related risk factors of global premature morbidity and mortality, and have been associated with an increased risk of developing multiple sclerosis (MS). This study aims to estimate and project the proportion of MS incidence that could be prevented with elimination of these risk factors. Methods Prevalence estimates of high BMI during childhood/adolescence and smoking in early adulthood, and relative risks of MS, were obtained from published literature. A time-lag of 10 years was assumed between smoking in early adulthood and MS incidence, and a time-lag of 20 years was assumed between childhood/adolescent high BMI and MS incidence. The MS population attributable fractions (PAFs) of smoking and high BMI were estimated as individual and combined risk factors, by age, country and sex in 2015, 2025 and 2035 where feasible. Results The combined estimated PAFs for smoking and high BMI in 2015 were 14, 11, 12 and 12% for the UK, USA, Russia and Australia in a conservative estimate, and 21, 20, 19 and 16% in an independent estimate, respectively. Estimates for smoking are declining over time, whereas estimates for high early life BMI are rising. The PAF for high early life BMI is highest in the USA and is estimated to increase to 14% by 2035. Conclusions Assuming causality, there is the potential to substantially reduce MS incidence with the elimination of lifestyle-related modifiable risk factors, which are the target of global public health prevention strategies.

scholarly journals Feasibility of Social-Network-Based eHealth Intervention on the Improvement of Healthy Habits among Children

Sensors ◽  
2020 ◽  
Vol 20 (5) ◽  
pp. 1404 ◽  
Author(s):  
José Alberto Benítez-Andrades ◽  
Natalia Arias ◽  
María Teresa García-Ordás ◽  
Marta Martínez-Martínez ◽  
Isaías García-Rodríguez
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Mass ◽  
Eating Habits ◽  
Intervention Group ◽  
Group Versus ◽  
Daily Basis ◽  
Control Group ◽  
Healthy Habits ◽  
Ehealth Intervention

This study shows the feasibility of an eHealth solution for tackling eating habits and physical activity in the adolescent population. The participants were children from 11 to 15 years old. An intervention was carried out on 139 students in the intervention group and 91 students in the control group, in two schools during 14 weeks. The intervention group had access to the web through a user account and a password. They were able to create friendship relationships, post comments, give likes and interact with other users, as well as receive notifications and information about nutrition and physical activity on a daily basis and get (virtual) rewards for improving their habits. The control group did not have access to any of these features. The homogeneity of the samples in terms of gender, age, body mass index and initial health-related habits was demonstrated. Pre- and post-measurements were collected through self-reports on the application website. After applying multivariate analysis of variance, a significant alteration in the age-adjusted body mass index percentile was observed in the intervention group versus the control group, as well as in the PAQ-A score and the KIDMED score. It can be concluded that eHealth interventions can help to obtain healthy habits. More research is needed to examine the effectiveness in achieving adherence to these new habits.

scholarly journals High Body Mass Index Is an Indicator of Maternal Hypothyroidism, Hypothyroxinemia, and Thyroid-Peroxidase Antibody Positivity during Early Pregnancy

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Cheng Han ◽  
Chenyan Li ◽  
Jinyuan Mao ◽  
Weiwei Wang ◽  
Xiaochen Xie ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Pregnant Women ◽  
Body Mass ◽  
Thyroid Function ◽  
Early Pregnancy ◽  
Thyroid Dysfunction ◽  
Thyroid Peroxidase ◽  
Thyroid Peroxidase Antibody ◽  
Maternal Thyroid ◽  
High Bmi

Background. Maternal thyroid dysfunction in early pregnancy may increase the risk of adverse pregnancy complications and neurocognitive deficiencies in the developing fetus. Currently, some researchers demonstrated that body mass index (BMI) is associated with thyroid function in nonpregnant population. Hence, the American Thyroid Association recommended screening thyroid function in obese pregnant women; however, the evidence for this is weak. For this purpose, our study investigated the relationship between high BMI and thyroid functions during early pregnancy in Liaoning province, an iodine-sufficient region of China.Methods. Serum thyroid stimulating hormone (TSH), free thyroxine (FT4), thyroid-peroxidase antibody (TPOAb), thyroglobulin antibody (TgAb) concentration, urinary iodine concentration (UIC), and BMI were determined in 6303 pregnant women.Results. BMI ≥ 25 kg/m2may act as an indicator of hypothyroxinemia and TPOAb positivity and BMI ≥ 30 kg/m2was associated with increases in the odds of hypothyroidism, hypothyroxinemia, and TPOAb positivity. The prevalence of isolated hypothyroxinemia increased among pregnant women with BMI > 24 kg/m2.Conclusions. High BMI during early pregnancy may be an indicator of maternal thyroid dysfunction; for Asian women whose BMI > 24 kg/m2and who are within 8 weeks of pregnancy, thyroid functions should be assessed especially.

scholarly journals The effects of body mass index, smoking and anemia on fetal birth weight

2021 ◽  
Vol 29 ◽  
Author(s):  
Ersin Çintesun ◽  
Feyza Nur İncesu Çintesun ◽  
Meltem Aydoğdu ◽  
Emine Taşkın ◽  
Mete Can Ateş ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Birth Weight ◽  
Pregnant Women ◽  
Vaginal Delivery ◽  
Body Mass ◽  
Fetal Weight ◽  
Important Indicator ◽  
Significant Difference ◽  
Fetal Birth Weight ◽  
Smoking Group

Objective: Fetal growth is an important indicator of fetal health. Low birth weight (LBW) is also associated with increased perinatal morbidity and mortality. Numerous factors that affect fetal weight have been identified. In this study, we aimed to investigate the effect of body mass index, smoking, and anemia on fetal birth weight on term pregnant women who had vaginal delivery in our clinic. Methods: This study is a retrospective cross-sectional study. This study included patients who had a spontaneous vaginal delivery at our hospital between January 1st, 2018, and June 15th, 2020. Measurements of hemoglobin (Hb) and hematocrit (Hct) levels during birth supported the diagnosis of anemia. Hb levels were compared in three categories in this study: (1) Hb<10 g/dL; (2) ≥10<11 g/dL; and (3) Hb ≥11 g/dL. Anemia was defined as having a Hb level <11 mg/dL. Birth weight was categorized as LBW <2500 g; normal birth weight (NBW) as ≥2500–3999 g, and macrosomia as ≥4000 g. Results: Analysis was performed on 1428 pregnant women. There was a statistically significant difference for the Hct and Hb subgroups between the groups (p<0.05). Fetal birth weight was found higher in the non-smoking group than in the smoking group (3302.1± 381.5 g vs. 2839.7±491.5 g; p<0.001). Body mass index (BMI) and Hb levels positively predicted fetal birth weight (β=0.134; p<0.001 and β=0.051; p=0.046), smoking was negatively predicted fetal birth weight (β=-0.245; p<0.001). Conclusion: BMI, Hb levels, and smoking status during mothers’ delivery are effective on fetal weight. Smoking was the strongest predictor of fetal birth weight compared with the other variables.

Temporal trend of early pregnancy high body mass index in Australian women: risk factors and outcomes

2021 ◽  
Vol 29 (1) ◽  
pp. 10-18
Author(s):  
Marjan Khajehei ◽  
Hassan Assareh
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Body Mass ◽  
Early Pregnancy ◽  
High Body Mass Index ◽  
Tertiary Hospital ◽  
Reproductive Age ◽  
Smoking During Pregnancy ◽  
High Body ◽  
High Bmi

Background There is a shift toward the increasing weight gain among women of reproductive age. Aim To assess changes in the prevalence of high body mass index (BMI) (including both overweight and obese) in early pregnancy in Australian women, and its risk factors and association with selected birth outcomes from 2011–2017. Methods Records of pregnant women who received antenatal care and gave birth at an Australian tertiary hospital during 2011–2017 were evaluated and trends of high BMI were investigated. Results The risk of high BMI at early pregnancy increased by 3% annually and rose from 37% in 2011 to 44% in 2017. The risk of high BMI was greater in women who were more than 35 years old, multiparous, were smoking during pregnancy, and who had neurological disorders. High maternal BMI was associated with greater risks of having assisted conception, caesarean section and larger neonate. Conclusion The rate of high BMI in early pregnancy increased between 2011–2017.

scholarly journals High body mass index in children with sickle cell disease: a retrospective single-centre audit

2018 ◽  
Vol 2 (1) ◽  
pp. e000302 ◽  
Author(s):  
Rachael Hall ◽  
Kate Gardner ◽  
David C Rees ◽  
Subarna Chakravorty
Keyword(s):  
Body Mass Index ◽  
Sickle Cell Disease ◽  
Disease Severity ◽  
Body Mass ◽  
Sickle Cell ◽  
High Body Mass Index ◽  
Cell Disease ◽  
Admission Rates ◽  
High Body ◽  
High Bmi

ObjectiveTo assess the prevalence of high body mass index (BMI) in children with sickle cell disease and assess correlation between BMI and disease severity.DesignRetrospective chart review followed by statistical analysis.SettingA single tertiary paediatric clinic in inner city London.PatientsAll patients with sickle cell disease, including homozygous haemoglobin (HbSS) and compound heterozygous Hb (HbSC), age 2–18 years receiving clinical care at the centre, were included in the study.InterventionsHeight and weight measurements, steady-state laboratory blood tests, hospital admission rates, adjunct therapy such as hydroxycarbamide or blood transfusions and obstructive sleep apnoea (OSA) data were obtained from the hospital electronic patient records.Main outcome measuresTo study the prevalence of high BMI and to identify any correlation between BMI and disease severity.Results385 patients were included. 64 children (17%) were overweight or obese, of which a significantly higher number of children with HbSC were obese or overweight (23 out of 91, 25%) compared with those with HbSS (36 out of 273, 13%), p≤0.001. No correlation was found between high BMI and presence of OSA, and markers of disease severity such as admission rates, fetal haemoglobin or lactate dehydrogenase levels.ConclusionsHigh BMI did not correlate with disease severity in this cohort of patients with sickle cell disease. Obesity was more prevalent in females and those with HbSC. Further prospective studies are needed to determine long-term effects of BMI in disease severity and outcome.

scholarly journals High waist circumference rather than high body mass index may be a predictive risk factor for the longer disease duration of chronic spontaneous urticaria

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yeong Ho Kim ◽  
Kyung Do Han ◽  
Chul Hwan Bang ◽  
Ji Hyun Lee ◽  
Jun Young Lee ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Risk Factor ◽  
Waist Circumference ◽  
Body Mass ◽  
Disease Duration ◽  
High Body Mass Index ◽  
Chronic Spontaneous Urticaria ◽  
Predictive Risk Factor ◽  
Predictive Risk ◽  
High Bmi

AbstractIn a previous study, we found that higher waist circumference (WC) and higher body mass index (BMI) both increase the risk of chronic spontaneous urticaria (CSU). The aim of this study was to determine whether WC and BMI also increase the duration of CSU. We used multivariable Cox proportional hazards models to determine the hazard ratio (HR) for longer disease duration (longer than 3 years) according to WC and BMI. A total of 52,667 subjects were enrolled and their mean age was 54.5. After adjustments for other confounding variables the high WC/high BMI group had 1.062 times higher HR (95% CI, 1.028–1.098) than the normal WC/normal BMI group. Interestingly, the high WC/normal BMI group showed a significantly higher HR (1.053; 95% CI, 1.008–1.101) than the normal WC/normal BMI group, but not the normal WC/high BMI group (0.998; 95% CI, 0.951–1.046). Taken together, our results suggest that high WC rather than high BMI is a predictive risk factor for the longer disease duration of CSU.

scholarly journals Anthropometric Dimensions of Individuals With High Body Mass Index

2019 ◽  
Vol 61 (8) ◽  
pp. 1277-1296 ◽  
Author(s):  
Neal Wiggermann ◽  
Bruce Bradtmiller ◽  
Sue Bunnell ◽  
Cathy Hildebrand ◽  
John Archibeque ◽  
...  
Keyword(s):  
Body Mass Index ◽  
General Population ◽  
Product Design ◽  
Body Mass ◽  
High Body Mass Index ◽  
Anthropometric Data ◽  
Obese Population ◽  
Population Segment ◽  
The U.S ◽  
High Bmi

Objective: This study presents anthropometric data for individuals with high body mass index (BMI). Modified anthropometric dimensions were also developed to address the challenges of obtaining accurate and repeatable data for this population segment. Background: The prevalence of obesity affects approximately 40% of the U.S. adult population. Anthropometric data are needed to guide product design and safety, but few individuals with high BMI have been measured in available datasets. Method: Anthropometric data for a convenience sample of 288 adults with high BMI (≥30 kg/m2) were collected. To increase participation and minimize participant discomfort, measurements were collected at three bariatric weight loss clinics and one academic research institution. Results: The current obese cohort are heavier than the U.S. general population, with a difference in mean body weight of 47 kg for women and 56 kg for men. The obese cohort are also heavier and have a higher BMI compared with the NIOSH (National Institute for Occupational Safety and Health) truck driver population. Waist circumferential measures of the current obese cohort were larger than women or men in either population compared, a result indicative of meaningful body shape differences. Conclusion: To our knowledge, this study is the first to collect anthropometric data for the obese population segment and conduct comparisons to the U.S. general population and available occupational databases. The obese cohort differed substantially with respect to the distributions of anthropometric variables. Application: These data provide insights about the obese population segment that are relevant to product design, and establish a foundation for future data collection efforts.

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