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.

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.

scholarly journals Body Adiposity Index and Cardiovascular Health Risk Factors in Caucasians: A Comparison with the Body Mass Index and Others

PLoS ONE ◽  
2013 ◽  
Vol 8 (5) ◽  
pp. e63999 ◽  
Author(s):  
Miquel Bennasar-Veny ◽  
Angel A. Lopez-Gonzalez ◽  
Pedro Tauler ◽  
Mey L. Cespedes ◽  
Teofila Vicente-Herrero ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Health Risk ◽  
Body Mass ◽  
Cardiovascular Health ◽  
The Body ◽  
Health Risk Factors ◽  
Body Adiposity Index ◽  
Adiposity Index ◽  
Body Adiposity

scholarly journals Association between eating habits, body mass index, cardiorespiratory fitness, and cardiometabolic risk factors in children

2021 ◽  
Vol 34 ◽  
Author(s):  
Miguel Angelo dos Santos DUARTE JUNIOR ◽  
Adroaldo Cezar Araujo GAYA ◽  
Vanilson Batista LEMES ◽  
Camila Felin FOCHESATTO ◽  
Caroline BRAND ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Body Mass Index ◽  
Body Mass ◽  
Cardiorespiratory Fitness ◽  
Cardiometabolic Risk ◽  
Eating Habits ◽  
Density Lipoprotein ◽  
The Body ◽  
Cardiometabolic Risk Factors

ABSTRACT Objective To verify the multivariate relationships between eating habits, cardiorespiratory fitness, body mass index, and cardiometabolic risk factors in children. Methods This is a cross-sectional study developed in a public elementary school with 60 first- to sixth-graders. Their eating habits were assessed using the Food Frequency Survey, weight, height, and cardiorespiratory fitness, assessed according to the Projeto Esporte Brasil protocol. Moreover, the variables, high-density lipoprotein, low-density lipoprotein, glucose, insulin, C-reactive protein, adiponectin, leptin, diastolic and systolic blood pressure were evaluated. Descriptive statistics were used for data analysis and generalized estimation equations were used for the analysis of direct and indirect relations, in a multivariate analysis model with several simultaneous outcomes. Results It appears that the eating habits and cardiorespiratory fitness explain 20% of the body mass index. Cardiometabolic risk factors are explained by the relationship between eating habits, cardiorespiratory fitness, and body mass index, according to the following percentages: 29% (systolic blood pressure), 18% (diastolic blood pressure), 63% (leptin), 4% (adiponectin), 14% (C-reactive protein), 17% (insulin), 10% (high-density lipoprotein), 1% (low-density lipoprotein), 4% (glucose). It is also observed that the effects of the eating habits on cardiometabolic risk factors are indirect, that is, they are dependent on changes in the body mass index and cardiorespiratory fitness levels. Conclusions The relationship between eating habits and cardiometabolic risk factors in children is dependent on cardiorespiratory fitness and body mass index. Thus, our findings suggest a multivariate relationship between these factors.

scholarly journals FAKTOR – FAKTOR YANG BERHUBUNGAN DENGAN KEJADIAN OSTEOPOROSIS

2020 ◽  
Vol 3 (2) ◽  
pp. 337-343
Author(s):  
Helfrida Situmorang
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Body Mass Index ◽  
Body Mass ◽  
Research Design ◽  
Univariate Analysis ◽  
The Body ◽  
Nutritional Deficiencies ◽  
Bivariate Analysis ◽  
History Of

The irreversible risk factors for osteoporosis are age, gender, race, family / hereditary history, body shape and history of fractures. The risk factors for osteoporosis that can be changed are smoking, vitamin and nutritional deficiencies, lifestyle, eating disorders (anorexia nervosa), early menopause, and the use of certain drugs such as corticosteroids, glucocorticosteroids, and diuretics. The purpose of this study was to determine the factors associated with the incidence of osteoporosis. The research design used was non-experimental, namely a correlational research design, namely research conducted to determine the relationship between two variables. The population in this study were all osteoporosis patients with age. over 45 years old who seek treatment at the Puskesmas Gunting Saga Kec. Kualuh Selatan District of North Labuhan Batu totaling 45 people. The sampling method used was the total sampling technique, which was the same as the population of 45 people. Data collection used is the method of filling out a questionnaire which includes written questions used to obtain data information from the questionnaire. The data analysis conducted was univariate analysis and bivariate analysis. In this study, researchers still adhere to ethical principles. The results illustrate that the respondents are mostly 51-65 years old as many as 27 people (60%). Most of the sex of respondents were women as many as 37 people (82.2 %%). Most of the respondents had no history of osteoporosis as many as 31 people (68.9%). Most of the body mass index of respondents whose body mass index was over 34 people (75.6%). Most of the respondents in the smoking category did not smoke as many as 32 people (71.7%). Most of the respondents' physical activity in the category of independent physical activity was 38 people (84.4%). The conclusion is that there is no relationship between age, sex, family history, body mass index, and smoking with the incidence of osteoporosis. Meanwhile, physical activity has a relationshipwithosteoporosis.   Abstrak Faktor-faktor resiko osteoporosis yang tidak dapat diubah yaitu usia, jenis kelamin, ras, riwayat keluarga/keturunan, bentuk tubuh dan sejarah patah tulang. Faktor–faktor resiko osteoporosis yang dapat diubah adalah merokok, defisiensi vitamin dan gizi, gaya hidup, gangguan makan (anoreksia nervosa), menopause dini, serta penggunaan obat-obatan tertentu seperti kortikosteroid, glukokortikosteroid, serta diuretik. Tujuan penelitian ini adalah untuk mengetahui mengetahui faktor-faktor yang berhubungan dengan kejadian osteoporosis Rancangan penelitian yang digunakan adalah non eksperimen yaitu rancangan atau desain penelitian yang bersifat korelasional yaitu penelitian yang dilakukan untuk mengetahui hubungan dua variabel.Populasi dalam penelitian ini adalah semua pasien osteoporosis dengan usia diatas 45 tahun yang berobat di Puskesmas Gunting Saga Kec. Kualuh Selatan Kab Labuhan Batu Utara berjumlah 45 orang.Metode pengambilan sampel yang digunakan dengan teknik total sampling yaitu sama dengan populasi adalah sebanyak 45 orang. Pengumpulan data yang digunakan yaitu metode pengisian kuesioner yang meliputi pertanyaan tertulis yang digunakan untuk memperoleh informasidata dari kuesioner.Analisa data yang dilakukan adalah analisis univariat dan analisis bivariat. Dalam penelitian ini peneliti tetap berpedoman pada prinsip-prinsip etik.Hasil penelitian menggambarkan bahwa responden sebagian besar berumur 51-65 tahun sebanyak 27 orang (60%). Jenis kelamin responden sebagian besar wanita sebanyak  37 orang (82.2%%).Riwayat keluarga responden sebagian besar berstatus tidak ada riwayat osteoporosis sebanyak 31 orang (68.9%).Indeks masa tubuh responden sebagian besar Indeks masa tubuh lebih sebanyak 34 orang (75.6%).Merokok responden sebagian besar kategori tidak merokok sebanyak 32 orang (71.7%).Aktivitas fisik responden sebagian besar kategori aktivitas fisik mandiri sebanyak 38 orang (84.4%).Kesimpulan bahwa tidak ada hubungan umur, jeniskelamin, riwayat keluarga,indeks massa tubuh,dan merokok dengan kejadian osteoporosis. Sedangkan aktivitas fisikada hubungan dengan kejadian osteoporosis.

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 The relationship between body mass index, body image, and sexual function: A survey on Iranian pregnant women

2019 ◽  
Author(s):  
Mahtab Senobari ◽  
Elham Azmoude ◽  
Marziyeh Mousavi
Keyword(s):  
Body Mass Index ◽  
Body Image ◽  
Sexual Function ◽  
Pregnant Women ◽  
Body Mass ◽  
Normal Weight ◽  
The Body ◽  
Female Sexual Function ◽  
The Impact ◽  
The Relationship

Background: The prevalence of sexual problems is high during pregnancy. Despite this, there are limited data about the impact of physical and psychological factors such as body weight and body image on sexual function in pregnant women. Objective: To investigate the relationship between body mass index, body image, and sexual function among pregnant women. Materials and Methods: In this cross-sectional study, a total of 206 Iranian pregnant women (106 with normal weight and 100 overweight women) in their 2nd and 3rd trimesters of pregnancy were surveyed. Survey instruments included the Female Sexual Function Index and Multidimensional Body-Self Relations Questionnaire. Results: The prevalence of female sexual disorder was 72.3% in this survey. Diminished sexual desire/appetite was the most common problem reported by the participants (37.9%). The mean score of sexual problem and body image were not significantly different among overweight and normal weight women in the 2nd (p = 0.945 and p = 0.800, respectively) and 3rd trimesters of pregnancy (p = 0.310 and p = 0.507, respectively). Further, there were no relationships between the body mass index plus body image and the total female sexual function score (p = 0.44 and p = 0.837, respectively). However, the relationship between the appearance evaluation with lubrication (p = 0.043) and subjective weight with two subscales of sexual satisfaction (p = 0.005) and orgasm (p = 0.019) were significant. Conclusion: The findings from this study revealed that there were no relationships between body mass index plus body image score and the sexual function in pregnancy. Therefore, a further research is recommended to study other potential factors affecting sexual function during pregnancy.

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