scholarly journals Body mass index at calving on performance and efficiency of Zebu cow herds

2022 ◽  
Vol 43 (1) ◽  
pp. 197-210
Author(s):  
Ricardo Zambarda Vaz ◽  
◽  
Liliane Cérdotes ◽  
Rangel Fernandes Pacheco ◽  
Dayana Bernardi Sartori ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Milk Yield ◽  
Direct Method ◽  
Large Body ◽  
The Body ◽  
Breeding Period ◽  
Early Weaning ◽  
Yield And Quality ◽  
The Impact

This study examines the impact of the body mass index (BMI) at calving on the development and postpartum efficiency of cows of Zebu origin. The study involved 87 cows and their calves [pure Nellore (N) or predominant Nellore composition in a cross with Charolais (C) (3/4N1/4C and 5/8N3/8C)]. The mothers were grouped into classes according to their BMI at calving, namely, ‘small’, ‘moderate’ and ‘large’. Body mass index was determined by dividing the body weight of the cows by their length and by hip height and then dividing the result by 10. Cows were weighed at calving, at weaning, at the end of the breeding period and at the diagnosis of pregnancy. Calves were weighed at birth, at early weaning (63 days) and at 210 of age. To evaluate milk yield and quality, milk was collected at 21, 42 and 63 days after calving. Milk yield was measured by the direct method, with manual milking, followed by analysis of the lactose, fat, total solids and crude protein contents. Pregnancy rate was similar between the three BMI groups; however, cows with a lower BMI were more efficient at calving in producing kilograms of calf per kilogram of cow kept. Higher BMI provide higher milk yields, without affecting its quality, as well as heavier calves at early weaning and at 210 days of age.

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 Accuracy of Body Mass Index and Obesity Status in Police Trainees

2022 ◽  
Vol 12 (1) ◽  
pp. 42-49
Author(s):  
Miloš Stojković ◽  
Katie M. Heinrich ◽  
Aleksandar Čvorović ◽  
Velimir Jeknić ◽  
Gianpiero Greco ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Body Mass ◽  
Direct Method ◽  
Body Height ◽  
Overweight And Obesity ◽  
The Body ◽  
Measurement Tool ◽  
Obesity Status ◽  
Study Results

The first aim of this study was to compare body mass index (BMI) (indirect method) classification with the body fat percent (PBF) (direct method) and to determine how BMI classifies subjects with different levels of skeletal muscle mass percent (PSMM). The second aim was to determine the prevalence of overweight and obesity status among police trainees (PTs). A total of 103 male PTs participated in this research: age = 21.46 ± 0.64 years, body mass (BM) = 75.97 ± 8.10 kg, body height (BH) = 174.07 ± 6.31 cm, BMI = 25.05 ± 2.12 kg/m2. The InBody 370 multichannel bioelectrical impedance analysis (BIA) measured body composition. Study results indicated that muscular PTs could be misclassified as overweight and that PBF identified more subjects as obese. Namely, three PTs were obese according to BMI, while 13 were obese according to PBF. The information provided by this research could be used to help professionals understand the importance of measuring body composition, and the inaccuracies in BMI classification. In conclusion, whenever possible PSMM and PBF should replace the utilization of BMI to screen overweight and obesity in PTs. Agencies may think of using BIA as non-invasive, quick and inexpensive measurement tool.

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.

The effect of school intervention programs on the body mass index of adolescents: a systematic review with meta-analysis

2020 ◽  
Vol 35 (5) ◽  
pp. 396-406
Author(s):  
R Saavedra Dias ◽  
A N Barros ◽  
A J Silva ◽  
J C Leitão ◽  
J Narciso ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Meta Analysis ◽  
Rank Correlation ◽  
School Intervention ◽  
The Body ◽  
Future Research ◽  
Obesity Interventions ◽  
The Impact ◽  
Low Magnitude

Abstract Effective obesity interventions in adolescent populations have been identified as an immediate priority action to stem the increasing prevalence of adult obesity. The purpose of this meta-analysis was to make a quantitative analysis of the impact of school-based interventions on body mass index during adolescence. Studies were retrieved from PubMed, Scopus, Science Direct and Web of Science databases. Results were pooled using a random-effects model with 95% confidence interval considered statistically significant. Of the 18 798 possible relevant articles identified, 12 articles were included in this meta-analysis. The global result showed a low magnitude effect, though it was statistically significant (N = 14 428), global e.s. = −0.055, P = 0.004 (95% CI = −0.092, −0.017). Heterogeneity was low among the studies (I2 = 9.017%). The funnel plot showed no evidence of publication bias. The rank-correlation test of Begg (P = 0.45641) and Egger’s regression (P = 0.19459) confirmed the absence of bias. This meta-analysis reported a significant effect favoring the interventions; however, future research are needed since the reported the evidence was of low magnitude, with the studies following a substantial range of approaches and mostly had a modest methodological quality.

The impact of the body mass index (BMI) on laparoscopic hysterectomy for benign disease

2013 ◽  
Vol 289 (4) ◽  
pp. 803-807 ◽  
Author(s):  
David Bardens ◽  
Erich Solomayer ◽  
Sascha Baum ◽  
Julia Radosa ◽  
Stefan Gräber ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Laparoscopic Hysterectomy ◽  
Benign Disease ◽  
The Body ◽  
The Impact

scholarly journals Impact of Dietary, Socioeconomic, and Physical Factors on Obese and Overweight Schoolchildren Living in Sidi-Bel-Abbes (West of Algeria) and Ain Defla (Centre)

2018 ◽  
Vol 25 (1) ◽  
pp. 37-46 ◽  
Author(s):  
Hayat Didaoui ◽  
Méghit Boumediene Khaled
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Environmental Factors ◽  
Body Mass ◽  
School Children ◽  
Task Force ◽  
The Body ◽  
Physical Factors ◽  
Obesity And Overweight ◽  
The Impact

Abstract Background and aims: The aim of the current study was to assess the impact of environmental factors; food, socio-economic, and physical activity, on a group of obese children living in Ain-Defla (Center Algeria) and Sidi-Bel-Abbes (West Algeria). Material and methods: The protocol was carried out on a cohort of 125 school children aged of 5 to 11 years, including 64 boys and 61 girls, and 139 school children, including 93 boys and 46 girls in Ain Defla and Sidi-Bel-Abbes respectively. Concerning the classification of obesity and overweight, we referred to the International Obesity Task Force and the French References' curves. Results: Regarding dietary intake our results showed that 34% of students from both regions took their breakfast, compared to 66% who did not take. Furthermore, 73% of students skipped at least one meal, however 23% respected meals frequency i.e. 4 meals a day. Regarding socio-economic factors and physical activity, our findings showed that obesity rates were high (36%) among children whose fathers are workers. However, for mothers who are housewives, obesity increases among their children (88%). The relationship was reversed between the parents' education level and the Body Mass Index. We found an opposite relationship between Body Mass Index and physical activity, and investigated children use screen devices for long time periods. Conclusions: Our study showed a positive relationship between obesity and overweight and environmental factors.

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