scholarly journals Estimating bias in derived body mass index in the Maternity Experiences Survey

2016 ◽  
Vol 36 (9) ◽  
pp. 185-193 ◽  
Author(s):  
S. Dzakpasu ◽  
J. Duggan ◽  
J. Fahey ◽  
R. S. Kirby
Keyword(s):  
Body Mass Index ◽  
Caesarean Section ◽  
Random Sample ◽  
Body Mass ◽  
Gestational Age ◽  
Measured Data ◽  
The Body ◽  
Large For Gestational Age ◽  
Maternity Experiences Survey ◽  
The Impact

Introduction The objective of this study was to assess bias in the body mass index (BMI) measure in the Canadian Maternity Experiences Survey (MES) and possible implications of bias on the relationship between BMI and selected pregnancy outcomes. Methods We assessed BMI classification based on self-reported versus measured values. We used a random sample of 6175 women from the MES, which derived BMI from self-reported height and weight, and a random sample of 259 women who had previously given birth from the Canadian Health Measures Survey (CHMS), which derived BMI from self-reported and measured height and weight. Two correction equations were applied to self-reported based BMI, and the impact of these corrections on associations between BMI and caesarean section, small-for-gestational age (SGA) and large-for-gestational age (LGA) births was studied. Results Overall, 86.9% of the CHMS subsample was classified into the same BMI category based on self-reported versus measured data. However, misclassification had a substantial effect on the proportion of women in underweight and obese BMI categories. For example, 14.5% versus 20.8% of women were classified as obese based on self-reported data versus measured data. Corrections improved estimates of obesity prevalence, but over- and underestimated other BMI categories. Corrections had nonsignificant effects on the associations between BMI and SGA, LGA, and caesarean section. Conclusion While there was high concordance in BMI classification based on selfreported versus measured height and weight, bias in self-reported based measures may slightly over- or underestimate the risks associated with a particular BMI class. However, the general trend in associations is unaffected.

scholarly journals Body Mass Index, Multi-Morbidity, and COVID-19 Risk Factors as Predictors of Severe COVID-19 Outcomes

2021 ◽  
Vol 12 ◽  
pp. 215013272110185
Author(s):  
Sanjeev Nanda ◽  
Audry S. Chacin Suarez ◽  
Loren Toussaint ◽  
Ann Vincent ◽  
Karen M. Fischer ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Hospital Admission ◽  
Body Mass ◽  
Risk Score ◽  
The Body ◽  
Risk Scores ◽  
Nasopharyngeal Swab ◽  
Morbidity Score ◽  
The Impact

Purpose The purpose of the present study was to investigate body mass index, multi-morbidity, and COVID-19 Risk Score as predictors of severe COVID-19 outcomes. Patients Patients from this study are from a well-characterized patient cohort collected at Mayo Clinic between January 1, 2020 and May 23, 2020; with confirmed COVID-19 diagnosis defined as a positive result on reverse-transcriptase-polymerase-chain-reaction (RT-PCR) assays from nasopharyngeal swab specimens. Measures Demographic and clinical data were extracted from the electronic medical record. The data included: date of birth, gender, ethnicity, race, marital status, medications (active COVID-19 agents), weight and height (from which the Body Mass Index (BMI) was calculated, history of smoking, and comorbid conditions to calculate the Charlson Comorbidity Index (CCI) and the U.S Department of Health and Human Services (DHHS) multi-morbidity score. An additional COVID-19 Risk Score was also included. Outcomes included hospital admission, ICU admission, and death. Results Cox proportional hazards models were used to determine the impact on mortality or hospital admission. Age, sex, and race (white/Latino, white/non-Latino, other, did not disclose) were adjusted for in the model. Patients with higher COVID-19 Risk Scores had a significantly higher likelihood of being at least admitted to the hospital (HR = 1.80; 95% CI = 1.30, 2.50; P < .001), or experiencing death or inpatient admission (includes ICU admissions) (HR = 1.20; 95% CI = 1.02, 1.42; P = .028). Age was the only statistically significant demographic predictor, but obesity was not a significant predictor of any of the outcomes. Conclusion Age and COVID-19 Risk Scores were significant predictors of severe COVID-19 outcomes. Further work should examine the properties of the COVID-19 Risk Factors Scale.

scholarly journals The Impact of Nutritional Status and Body Mass Index on Rehabilitation Outcomes in Patients Receiving Home-Based Medical Care

2020 ◽  
Vol 3 (2) ◽  
pp. 15
Author(s):  
Kanako Eiwa ◽  
Naomi Nakayama ◽  
Yumi Takami ◽  
Shuko Iwasaki ◽  
Yoshinori Hino ◽  
...  
Keyword(s):  
Body Mass Index ◽  
At Risk ◽  
Nutritional Status ◽  
Medical Care ◽  
Body Mass ◽  
Functional Independence ◽  
The Body ◽  
Rehabilitation Outcomes ◽  
Home Based ◽  
The Impact

Background: Home-based medical care is expanding rapidly in Japan.Objectives: We aimed to identify the factors associated with outcomes of therapy in patients receiving home-visit rehabilitation.Methods: One hundred twenty-one patients receiving home-based rehabilitation were investigated. Nutritional status was assessed by the Mini Nutritional Assessment Short Form (MNA-SF). The Functional Independence Measure (FIM) was employed to assess the activities of daily living (ADL). The body mass index (BMI), medical history, and orthopedic disease-related pain were also recorded. The primary outcome was the improvement in FIM scores in one year.Results: A total of 19 (17%) patients were malnourished and 58 (48%) were at risk of malnutrition. Malnourished patients had a lower FIM score at initiation than those at risk of malnutrition or with normal nutritional status. Only changes in patients’ BMI and MNA-SF scores over one year were significantly associated with improved FIM scores (p = 0.0079 and p = 0.0049, respectively). No association was noted with the other factors.Conclusions: This is the first report to demonstrate that changes in MNA-SF scores and BMI are significantly associated with rehabilitation outcomes in home-based care. Nutritional management is essential along with rehabilitation to improve ADL in the long-term home care setting.

Gestationsdiabetes

2021 ◽  
Vol 19 (07) ◽  
pp. 312-316
Author(s):  
Delnaz Fard ◽  
Lars Brodowski ◽  
Constantin S. von Kaisenberg
Keyword(s):  
Diabetes Mellitus ◽  
Body Mass Index ◽  
Body Mass ◽  
Gestational Age ◽  
Medikamentöse Therapie ◽  
Diabetes Mellitus Typ 2 ◽  
Large For Gestational Age ◽  
Kardiovaskuläre Ereignisse ◽  
Schwangerschaftsinduzierte Hypertonie

ZUSAMMENFASSUNGZiel: Review der Literatur zu Schwangeren mit Gestationsdiabetes, die ein erhöhtes peripartales Risiko aufweisen, welches im Rahmen des geburtshilflichen Managements Beachtung finden sollte.Methodik: Systematische Literaturrecherche.Ergebnisse: Als Gestationsdiabetes wird ein erstmals in der Schwangerschaft auftretender bzw. diagnostizierter Diabetes bezeichnet. Die Pathophysiologie und das Risikoprofil entsprechen dem des Diabetes mellitus Typ 2. Eine entscheidende Rolle spielen dabei, neben einer genetischen Disposition, der mütterliche Body-Mass-Index, der Lebensstil sowie frühere Schwangerschaften mit Gestationsdiabetes. Die Diagnosestellung erfolgt durch einen 75 g oralen Glukosetoleranztest, meist bei 24–28 Schwangerschaftswochen. Die Folgen für die Mutter sind vor allem die schwangerschaftsinduzierte Hypertonie und Präeklampsie sowie im Verlauf die erhöhte Inzidenz für kardiovaskuläre Ereignisse. Intrapartal zeigen sich zudem eine erhöhte Sectio-Rate bei fetalem Large for gestational age und ein erhöhtes Risiko für höhergradige Geburtsverletzungen und atone Nachblutungen. Die Therapie schließt sowohl die Lifestyle-Modifikation als auch die medikamentöse Therapie mit Insulin ein.Schlussfolgerungen: Durch die frühzeitige Diagnosestellung durch adäquate Testverfahren und konsequent eingeleitete Therapien kann das peripartale maternale und fetale Risiko reduziert werden.

The Impact of the Body Mass Index on Outcome After Subarachnoid Hemorrhage

Neurosurgery ◽  
2013 ◽  
Vol 73 (2) ◽  
pp. 201-208 ◽  
Author(s):  
Johannes Platz ◽  
Erdem Güresir ◽  
Patrick Schuss ◽  
Jürgen Konczalla ◽  
Volker Seifert ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Subarachnoid Hemorrhage ◽  
Body Mass ◽  
Glasgow Outcome Scale ◽  
The Body ◽  
Favorable Outcome ◽  
World Federation ◽  
Obese Patients ◽  
Aneurysm Size ◽  
The Impact

Abstract BACKGROUND: Obesity is a risk factor for cardiovascular disease and associated with a poor outcome, especially for intensive care patients. However, recent studies have described favorable outcomes of obese patients after stroke, a phenomenon called the “obesity paradox.” OBJECTIVE: To assess the impact of the body mass index (BMI) on outcome after subarachnoid hemorrhage (SAH). METHODS: We analyzed the data for 741 SAH patients. A BMI greater than 25 kg/m2 was considered overweight and greater than 30 kg/m2 obese. The outcome according to the Glasgow Outcome Scale at discharge and after 6 months was assessed using logistic regression analysis. RESULTS: According to the BMI, 268 patients (36.2%) were overweight and 113 (15.2%) were obese. A favorable outcome (Glasgow Outcome Scale score &gt;3) was achieved in 53.0% of overweight patients. In contrast, 61.4% of the 360 patients with a normal BMI had a favorable outcome (P = .021). However, in the multivariate analysis, only age (odds ratio [OR]: 1.051, 95% confidence interval [CI]: 1.04-1.07, P &lt; .001), World Federation of Neurological Surgeons grade (OR: 2.095, 95% CI: 1.87-2.35, P &lt; .001), occurrence of vasospasm (OR: 2.90, 95% CI: 1.94-4.34, P &lt; .001), and aneurysm size larger than 12 mm (OR: 2.215, 95% CI: 1.20-4.10, P = .011) were independent predictors of outcome after 6 months. Of the 321 poor grade patients (World Federation of Neurological Surgeons score &gt;3), 171 (53.3%) were overweight. Of these, 21.6% attained a favorable outcome compared with 35.3% of normal-weight patients (P = .006). CONCLUSION: Although many physicians anticipate a worse outcome for obese patients, in our study, the BMI was not an independent predictor of outcome. Based on the BMI, obesity seems to be negligible for outcome after SAH compared with the impact of SAH itself, the patient's age, occurrence of vasospasm, or aneurysm size.

Changes in prepregnancy body mass index between the first and second pregnancies and risk of large-for-gestational-age birth

2007 ◽  
Vol 196 (6) ◽  
pp. 530.e1-530.e8 ◽  
Author(s):  
Darios Getahun ◽  
Cande V. Ananth ◽  
Morgan R. Peltier ◽  
Hamisu M. Salihu ◽  
William E. Scorza
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Gestational Age ◽  
Large For Gestational Age ◽  
Prepregnancy Body Mass Index

Growth factors, adiponectin, leptin and body mass index in pre-pubertal children born large for gestational age

2010 ◽  
Vol 34 (6) ◽  
pp. 411-416 ◽  
Author(s):  
A. S. Challa ◽  
E. N. Evagelidou ◽  
V. I. Giapros ◽  
V. I. Cholevas ◽  
S. K. Andronikou
Keyword(s):  
Body Mass Index ◽  
Growth Factors ◽  
Body Mass ◽  
Gestational Age ◽  
Large For Gestational Age

scholarly journals Maternal Body Mass Index and Ethnicity in Relation to The Adverse Outcomes of Large for Gestational Age and Gestational Diabetes Mellitus in a Retrospective Cohort of Australian Pregnant Women.

2021 ◽  
Author(s):  
Catherine Knight-Agarwal ◽  
Jani Rati ◽  
Meisa Al-Foraih ◽  
Dionne Eckley ◽  
Carrie Ka Wai Lui ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Body Mass Index ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Body Mass ◽  
Gestational Age ◽  
Retrospective Cohort ◽  
Adverse Outcomes ◽  
Large For Gestational Age ◽  
Maternal Body Mass Index

Abstract Background: The prevalence of maternal overweight and obesity has been increasing. This research explored the association between maternal body mass index and ethnicity in relation to the adverse outcomes of large for gestational age and gestational diabetes mellitus. Method: A retrospective cohort study was undertaken with 27 814 Australian women of various ethnicities, who gave birth to a singleton infant between 2008 and 2017. Variables were examined using logistic regression. Results: A significantly higher proportion of large for gestational age infants were born to overweight and obese women compared to those who were classified as underweight and healthy weight. Asian-born women with a body mass index of ≥ 40kg/m2 had an adjusted odds ratio of 9.926 (3.859 - 25.535) for birthing a large for gestational age infant whereas Australian-born women had an adjusted odds ratio of 2.661 (2.256 - 3.139) for the same outcome. Women born in Australia were at high risk of birthing a large for gestational age infant in the presence of insulin controlled gestational diabetes mellitus, but this risk was not significant for those with the diet-controlled type. Asian-born women did not present an elevated risk of birthing a large for gestational infant, in either the diet controlled, or insulin controlled gestational diabetes mellitus groups. Conclusion: Large for gestational age and gestational diabetes mellitus are adverse pregnancy outcomes that can lead to significant maternal and neonatal morbidity. Women who are overweight or obese, and considering a pregnancy, are encouraged to seek culturally appropriate nutrition and weight management advice during the periconception period.

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