scholarly journals The Relationship Between Body Mass Index of Acting 1st Semester Stkip Mbb with Overweight

2020 ◽  
Vol 4 (2) ◽  
pp. 38
Author(s):  
Khizqil Baharudin Akbar ◽  
Yoga Saputra ◽  
Windra Windra ◽  
Hengki Hartatadi
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Healthy Lifestyle ◽  
Normal Weight ◽  
Research Subject ◽  
Research Subjects ◽  
Weight Category ◽  
The Relationship ◽  
Male Subjects ◽  
Overweight Subjects

The results of this study indicate that there is a relationship between body mass index and body weight. The relationship between habits or lifestyle with weight is very influential. This happens because the average research subject does not regulate a healthy lifestyle. In this study, 54 students were selected as research subjects consisting of 42 male subjects and 12 female subjects. Most of the subjects in this study had nutritional status that showed a body mass index in the normal weight category of 25 people, overweight subjects as much as 8 people, underweight subjects as many as 6 people, and obese weight subjects as many as 6 people.

scholarly journals New Insights on the Relationship between Leptin, Ghrelin, and Leptin/Ghrelin Ratio Enforced by Body Mass Index in Obesity and Diabetes

Biomedicines ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1657
Author(s):  
Adela-Viviana Sitar-Tǎut ◽  
Angela Cozma ◽  
Adriana Fodor ◽  
Sorina-Cezara Coste ◽  
Olga Hilda Orasan ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Normal Weight ◽  
Diabetic Patients ◽  
Obese Patients ◽  
Endocrine Organ ◽  
Obesity And Diabetes ◽  
Resistance Score ◽  
The Relationship ◽  
Overweight Subjects

Currently, adipose tissue is considered an endocrine organ, however, there are still many questions regarding the roles of adipokines—leptin and ghrelin being two adipokines. The purpose of the study was to assess the relationship between the adipokines and their ratio with obesity and diabetes. Methods: Sixty patients (mean age 61.88 ± 10.08) were evaluated. Cardiovascular risk factors, leptin, ghrelin, and insulin resistance score values were assessed. The patients were classified according to their body mass index (BMI) as normal weight, overweight, and obese. Results: 20% normal weight, 51.7% overweight, 28.3% obese, and 23.3% diabetic. Obese patients had higher leptin values (in obese 34,360 pg/mL vs. overweight 18,000 pg/mL vs. normal weight 14,350 pg/mL, p = 0.0049) and leptin/ghrelin ratio (1055 ± 641 vs. 771.36 ± 921 vs. 370.7 ± 257, p = 0.0228). Stratifying the analyses according to the presence of obesity and patients’ gender, differences were found for leptin (p = 0.0020 in women, p = 0.0055 in men) and leptin/ghrelin ratio (p = 0.048 in women, p = 0.004 in men). Mean leptin/BMI and leptin/ghrelin/BMI ratios were significantly higher, and the ghrelin/BMI ratio was significantly lower in obese and diabetic patients. In conclusion, obesity and diabetes are associated with changes not only in the total amount but also in the level of adipokines/kg/m2. Changes appear even in overweight subjects, offering a basis for early intervention in diabetic and obese patients.

scholarly journals Higher body mass index is not a risk factor for in-hospital adverse outcomes following total knee arthroplasty

2018 ◽  
Vol 26 (3) ◽  
pp. 230949901880242 ◽  
Author(s):  
Usha Gurunathan ◽  
Aaron Pym ◽  
Cameron Anderson ◽  
Amanda Marshall ◽  
Sarah L Whitehouse ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Total Knee Arthroplasty ◽  
Body Mass ◽  
Knee Arthroplasty ◽  
Operating Time ◽  
Normal Weight ◽  
Cardiac Complications ◽  
Weight Category ◽  
Obese Class ◽  
Total Knee

Purpose: To investigate the association between body mass index (BMI) and perioperative complications until hospital discharge, following primary total knee arthroplasty (TKA). Methods: This retrospective study reviewed 1665 cases of elective primary unilateral TKA performed between 2006 and 2010, from a prospective secure electronic database. Types of complications, length of operating time, and duration of hospital stay were analyzed in both adjusted (for known confounders) and unadjusted analyses. A further matched analysis was also performed. Results: In terms of overall complications, there was no statistically significant difference between the BMI categories. When individual obesity category was considered, obese 2 had the lowest odds of developing complications, both with unadjusted (odds ratio (OR): 0.61, 95% confidence interval (CI) 0.41–0.91, p < 0.015) and adjusted regression analysis (OR: 0.65, 95% CI: 0.43–0.99, p = 0.044). Compared to normal weight category, obese class 3 (≥40 kg/m2) individuals were at 66% (OR: 0.34, 95% CI: 0.21–0.55) lower (unadjusted) odds of developing cardiac complications (overall p < 0.001). With the matched analysis, compared to normal weight category, obese class 3 (≥40 kg/m2) individuals were at a 60% (OR: 0.40, 95% CI: 0.23–0.68) lower (unadjusted) odds of developing cardiac complications (overall p = 0.004). Obese 3 patients had significantly higher operating time compared with other groups ( p < 0.001). Conclusion: This study did not find a significant association between BMI and increased overall in-hospital medical or surgical complications following primary TKA. Obesity significantly increased the length of operating time.

scholarly journals Analisis Antimullerian Hormon (AMH) di Dalam Serum pada Berbagai Kategori Indeks Masa Tubuh

2019 ◽  
Vol 5 (1) ◽  
pp. 162-168
Author(s):  
Didik Rio Pambudi ◽  
Ashon Sa�adi ◽  
Sudjarwo Sudjarwo
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Normal Weight ◽  
Uterine Bleeding ◽  
Obese Women ◽  
Height Measurement ◽  
Normality Test ◽  
Laboratory Infection ◽  
Special Hospital ◽  
The Relationship

Obesity-related to the result of decreased reproduction. Obese women are more prone to abnormal anovulation and uterine bleeding, endometrial hyperplasia/cancer, infertility, miscarriage, and pregnancy complications, compared to women of normal weight. This study aims to determine the levels of anti-Mullerian hormone (AMH) in the serum at various BMI (body mass index), also to determine the relationship and correlation between obesity and AMH levels in serum. The population in the study were women aged 20 years to 40 years with less BMI, Normal BMI and Obesity BMI. The study subjects were women between the ages of 20 to 40 years with a BMI less than 17-19.9, obesity BMI = 25 and normal BMI 20-25 as controls. Height measurement, weight weighing, and BMI calculation carried out according to the standard and subject to approval. Taking blood samples for the examination of AMH levels carried out by the RSKI laboratory (Infection Special Hospital) Airlangga University. The results of the data processed with SPSS 25 with the Shapiro-Wilk normality test and Mann Whitney statistical analysis for different tests and Spearman analysis for the correlation test. The results of the study found homogeneous samples, there were no significant differences between the AMH levels of the less and obese groups with, p = 0.832 (p> 0.05). AMH levels in BMI were less (0.459 � 0.112 ng / mL) than obesity BMI (0.432 � 0.058 ng / mL), so it was concluded that AMH levels did not correlate with less BMI with obesity BMI, with a correlation value (r) = -0.105 (p = 0.643; p> 0.05). The results of this study concluded that body mass index not related and does not correlate with the levels of anti-Mullerian hormone in the serum.

scholarly journals A végrehajtó funkciók összefüggése a testtömegindexszel és a DRD4-VNTR 7-es alléllal

2019 ◽  
Vol 160 (39) ◽  
pp. 1554-1562
Author(s):  
Julianna Bircher ◽  
Eszter Kótyuk ◽  
Renáta Cserjési ◽  
Andrea Vereczkei ◽  
Zsolt Rónai ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Adult Population ◽  
Normal Weight ◽  
Normal Body Mass Index ◽  
Repeat Allele ◽  
Non Invasive ◽  
Body Mass Regulation ◽  
Normal Mean ◽  
Overweight Subjects

Abstract: Introduction and aim: Earlier results in the literature suggest that overweight subjects show weaker performance in executive function tasks as compared to normal weight people. Dopaminergic system is strongly linked to executive functions, body mass regulation and ingestion. The aim of the present study was to examine the possible relationship between DRD4 VNTR 7-repeat allele, body mass index and Stroop performance in a healthy adult population, and to draw psychogenetic conclusions. Method: 152 subjects without diabetic or psychiatric history participated in the study. Along with non-invasive DNA sampling, demographic, weight and height data were collected. The participants also solved the computerized Stroop task. 11 subjects belonged to the underweight (mean body mass index = 17.9 kg/m2), 98 subjects to the normal (mean body mass index = 21.8 kg/m2), and 43 subjects to the overweight (mean body mass index = 28.9 kg/m2) category. After grouping participants according to their body mass index and DRD4 VNTR genotype, we compared their mean performance to investigate the possible psychogenetic associations. Results: Body mass index and stimuli type showed significant interaction on error number (p = 0.045): subjects with normal body mass index made significantly less error as compared to under- and overweight subjects in incongruent trials. The 7-repeat allele carriers made tendentiously more errors than non-carriers. Normal weight people made less error – independently from their genotype –, while subjects with either low or high BMI carrying the 7-repeat allele made more errors compared to non-carriers. Conclusion: Under- and overweight subjects perform weaker where inhibition is necessary in the task. This may reflect their reactions to food-related situations. Orv Hetil. 2019; 160(39): 1554–1562.

scholarly journals Impact of High Pre-Pregnancy Body Mass Index on Pregnancy Outcome Among Women Residing in Urban North-West Delhi, India

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 708-708
Author(s):  
Priyanka Arora ◽  
Bani Tamber Aeri
Keyword(s):  
Body Mass Index ◽  
Pregnancy Outcome ◽  
Body Mass ◽  
Adverse Pregnancy Outcome ◽  
Normal Weight ◽  
Weight Category ◽  
North West ◽  
Adverse Pregnancy ◽  
Maternal Overweight ◽  
The Impact

Abstract Objectives There is emerging evidence regarding the association of maternal overweight/obesity with an array of pregnancy-related complications and adverse pregnancy outcome. The present study aimed to evaluate the impact of higher pre- pregnancy body mass index (BMI) on pregnancy outcomes of women belonging to the upper socio-economic strata of North West Delhi. Methods An observational longitudinal study was conducted among 312 pregnant women attending the private antenatal clinics in North-West, Delhi, India during July 2018 to March 2020. Only women with pre-pregnancy BMI: &gt;18.5kg/m2 who belonged to upper socio-economic strata and with confirmed singleton pregnancies were included in study. All the eligible subjects were enrolled at ≤ 16th week of their pregnancies and further stratified on basis of pre-pregnancy BMI criteria for the Asian-Indians,2009 i.e.,: normal weight;18.5–22.9kg/m2 (n:90), overweight; 23–24.9 kg/m2 (n = 90) and obese; ≥25 kg/m2 (n = 132). The primary outcome of study was macrosomia (birth weight: &gt;3.5kg). Secondary outcomes were gestational diabetes mellitus (GDM), hypothyroid, pre-eclampsia (PE), pre-term birth (PTB), cesarean section (CS), neonatal intensive care unit (NICU) admission, miscarriage and still birth. Mixed and fixed-effects logistic regression analysis was performed with normal weight category women as a reference group. Results Incidence of adverse pregnancy outcome increased as pre-pregnancy BMI increases. Obese and overweight women had greater risk of undergoing CS (OR: 0.97, 95% CI: 0.9–1.05) and delivering a macrosomic neonate (OR = 2.36, 95% CI: 0.38–14.81 and OR = 1.03, 95% CI: 0.18–5.82) than normal weight women. Neonates of obese (OR: 1.30, 95%, CI:0.67–2.52) and overweight (OR: 1.33, 95% CI: 0.67–2.66) women had a higher risk of NICU admissions. Conclusions Data indicated detrimental effect of higher pre-pregnancy BMI for both mother and as well as the neonate. It would be prudent to strive for normal pre-pregnancy BMI to reduce the likelihood of adverse pregnancy outcome and lay a healthy foundation for an offspring. Funding Sources The financial assistance for present study was provided by the University Grant Commission (UGC), Government of India, under Junior/Senior Fellow Scheme.

scholarly journals Medical students’ physical activity as an indicator of their commitment to healthy lifestyle

2021 ◽  
Author(s):  
OV Ievleva
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Medical Students ◽  
Body Mass ◽  
Screen Time ◽  
Healthy Lifestyle ◽  
Correlation Coefficients ◽  
Biomedical Ethics ◽  
Steps Per Day ◽  
The Relationship

Physicians, who provide general medical services, should give the patients an advice on physical activity. The study was aimed to assess physical activity of medical students, as well as their awareness of this issue, and willingness to provide the public an advice on commitment to a healthy lifestyle in terms of physical activity. A total of 518 medical students were surveyed. The data obtained with the Steps and Screen Time mobile applications were used. Physical fitness was assessed using the standard anthropometric technique. Statisctical processing of the data obtained was performed with the Statistica 13 PL statistical software package. The study met the requirements of biomedical ethics and posed no risk to participants. No significant differences in the number of steps between males and females was observed. It was 9033±3297 steps in males and 7807±3570 steps in females. The evidence supporting the relationship between physical activity and average time spent on a smartphone per day was obtained: the correlation coefficient for the relationship between the number of steps per day and the screen time was -0.36 (moderate negative correlation). Correlation coefficients for the relationships between body mass index and physical activity (-0.35) and between body mass index and screen time (0.33, moderate positive correlation) were calculated. The data obtained allowed us to develop simple and feasible guidelines on improving physical activity in medical students, as well as to develop a tracker of positive habit of daily optimal physical activity for each student, and to discuss the results within the framework of the business game Physical Activity in Various Sectors of Population.

scholarly journals Body Mass Index and Frailty Among Older Mexican Americans: Findings From an 18-year of Follow-up

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 820-820
Author(s):  
Megan Rutherford ◽  
Brian Downer ◽  
Chih-Ying Li ◽  
Soham Al Snih
Keyword(s):  
Body Mass Index ◽  
Depressive Symptoms ◽  
Body Mass ◽  
Mexican Americans ◽  
Mexican American ◽  
Normal Weight ◽  
Healthy Weight ◽  
Weight Category ◽  
Over Time

Abstract The objective of this study was to examine body mass index (BMI) as predictor of frailty among non-frail Mexican American older adults at baseline. Data are from an 18-year prospective cohort of 1,647 non-institutionalized Mexican American aged ≥ 67 years from the Hispanic Established Population for the Epidemiologic Study of the Elderly (1995/1996-2012/13). BMI (Kg/m2) was grouped according to the National Institutes of Health obesity standards (&lt;18.5=underweight, 18.5–24.9=normal weight, 25.0–29.9=overweight, 30.0–34.9=obesity category I and ≥ 35=obesity category II and extreme obesity). Frailty was defined as meeting three or more of the following: unintentional weight loss of &gt;10 pounds, weakness, self-reported exhaustion, low physical activity, and slow walking speed. Covariates included socio-demographics, comorbidities, cognitive function, depressive symptoms, and limitations in activities of daily living (ADL). General Estimating Equations were performed to estimate the odds ratio (OR) and 95% confidence interval (CI) of frailty as a function of BMI categories. All variables were analyzed as time varying except for gender and education. Participants in the underweight or obesity type II / morbidity obesity category had increased OR of frailty over time than those in the normal weight category (2.68, 95% CI=1.46-4.9 vs.1.55, 95% CI=1.02-2.35, respectively) after controlling for all covariates. Those who reported arthritis, hip fracture, depressive symptoms, or ADL disability had increased odds of frailty over time. This study showed a U-shaped relationship between BMI and frailty over an 18-year period of follow-up which has implications for maintaining a healthy weight to prevent frailty in this population.

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.

Fitness and Fatness: Body Mass Index versus Percent Body Fat

2019 ◽  
Vol 8 (4) ◽  
pp. 131-137
Author(s):  
Jennifer Bunn ◽  
Danielle Eustace ◽  
Taylor Miskech ◽  
John Manor ◽  
Michael Jiroutek
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Body Fat ◽  
The United States ◽  
Normal Weight ◽  
Cardiovascular Fitness ◽  
Percent Body Fat ◽  
Tissue Mass ◽  
Weight Category ◽  
Health And Nutrition

ABSTRACT Background: Body mass index (BMI) is frequently used to evaluate risk of disease, but can be misleading because it does not account for different types of tissue mass (e.g., bone, muscle, fat). The purpose of this study was to classify adults in the United States according to cardiovascular fitness (CVF), BMI, and body fat using the National Health and Nutrition Examination Survey (NHANES) data. Methods: The three most current NHANES datasets (6,648 records) were included. Counts, means, and 95% confidence intervals (CI) determined the distribution of CVF across percent of body fat and BMI categories. Results: According to BMI, approximately 42.3% of participants were classified as either underweight or normal weight, and 24.9% were classified as obese. According to percent of body fat, 13.5% of subjects were classified as lean, while 68.4% of subjects were in the high percent body fat group. In regard to BMI, 9.9% and 6.7% of the overweight and obese populations, respectively, were classified in the highest third of CVF. According to adiposity, 6.6% and 21.0% of the moderate and high percent body fat population fell into the same category, respectively. Conclusion: Two-thirds of the population ranked below the 35th percentile for body fat (high percent body fat), with more of these individuals in the low CVF category than any other. The largest categorization for BMI was the normal-weight category. This supports that BMI may be misleading, and that utilizing percent body fat and CVF may provide a better indication of health.

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