scholarly journals Association between male body mass index and semen parameters

2020 ◽  
Vol 71 ◽  
pp. 109-112
Author(s):  
Vandana Puri ◽  
Shuchita Sharma ◽  
Kavita Gaur ◽  
Sunita Sharma ◽  
Shailaja Shukla
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Semen Analysis ◽  
Pearson Correlation ◽  
Sperm Concentration ◽  
Surrogate Marker ◽  
Semen Parameters ◽  
Male Body ◽  
Chi Square Analysis ◽  
Male Subjects

Objective: Obesity is a modern-day epidemic. Body mass index (BMI) is an easily computed surrogate marker of obesity. The incidence of obesity has paralleled the incidence of male infertility. The evidence of the association between BMI and semen parameters stays rather inconclusive. The aim of this study was to understand the association between BMI and semen parameters of male subjects evaluated at the infertility clinic. Materials and Methods: A prospective study was conducted on 410 male subjects (>18 years of age) who were referred to clinical pathology from the infertility clinic. Semen analysis for macroscopic parameters – total sperm concentration, motility, morphology, and viability, was done as per the guidelines laid by the WHO (WHO-5th edition 2010). Results: All the semen parameters showed higher aberrations in the obese group than the normal BMI group. However, on Pearson Chi-square analysis, none of these differences were found to be statistically significant (P > 0.05). On Pearson correlation analysis, none of the parameters showed a statistically significant correlation with BMI. Conclusion: The present study did not find any statistically significant differences for the commonly measured semen parameters, among the three BMI groups. We thus conclude that increased BMI or obesity has no significant impact on the semen parameters.

Body mass index and human sperm quality: neither one extreme nor the other

2017 ◽  
Vol 29 (4) ◽  
pp. 731 ◽  
Author(s):  
E. M. Luque ◽  
A. Tissera ◽  
M. P. Gaggino ◽  
R. I. Molina ◽  
A. Mangeaud ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Sperm Quality ◽  
Sperm Count ◽  
Sperm Concentration ◽  
Normal Weight ◽  
Semen Parameters ◽  
Morbidly Obese ◽  
Epididymal Maturation ◽  
Increased Risk

The aim of the present study was to investigate the still contentious association between body mass index (BMI) and seminal quality. To this end, 4860 male patients (aged 18–65 years; non-smokers and non-drinkers), were classified according to BMI as either underweight (UW; BMI <20 kg m–2; n = 45), normal weight (NW; BMI 20–24.9 kg m–2; n = 1330), overweight (OW; BMI 25–29.9 kg m–2; n = 2493), obese (OB; BMI 30–39.9 kg m–2; n = 926) or morbidly obese (MOB; BMI ≥40 kg m–2; n = 57). Conventional semen parameters and seminal concentrations of fructose, citric acid and neutral α-glucosidase (NAG) were evaluated. The four parameters that reflect epididymal maturation were significantly lower in the UW and MOB groups compared with NW, OW and OB groups: sperm concentration, total sperm count (103.3 ± 11.4 and 121.5 ± 20.6 and vs 157.9 ± 3.6, 152.4 ± 2.7 or 142.1 ± 4.3 spermatozoa ejaculate–1 respectively, P < 0.05), motility (41.8 ± 2.5 and 42.6 ± 2.6 vs 47.8 ± 0.5, 48.0 ± 0.4 or 46.3 ± 0.6 % of motile spermatozoa respectively, P < 0.05) and NAG (45.2 ± 6.6 and 60.1 ± 7.9 vs 71.5 ± 1.9, 64.7 ± 1.3 or 63.1 ± 2.1 mU ejaculate-1 respectively, P < 0.05). Moreover, the percentage of morphologically normal spermatozoa was decreased in the MOB group compared with the UW, NW, OW and OB groups (4.8 ± 0.6% vs 6.0 ± 0.8%, 6.9 ± 0.1%, 6.8 ± 0.1 and 6.4 ± 0.2%, respectively; P < 0.05). In addition, men in the MOB group had an increased risk (2.3- to 4.9-fold greater) of suffering oligospermia and teratospermia (P < 0.05). Both morbid obesity and being underweight have a negative effect on sperm quality, particularly epididymal maturation. These results show the importance of an adequate or normal bodyweight as the natural best option for fertility, with both extremes of the BMI scale as negative prognostic factors.

scholarly journals Relation between BMI and Semen parameters in male infertility patients in west of Algeria

2020 ◽  
Vol 10 (2-s) ◽  
pp. 64-67
Author(s):  
Dalila Ferrag ◽  
Abbassia Demmouche ◽  
Charaf Khalloua Zine
Keyword(s):  
Body Mass Index ◽  
Male Infertility ◽  
Body Mass ◽  
Semen Quality ◽  
Sperm Count ◽  
Sperm Concentration ◽  
Semen Parameters ◽  
Infertile Men ◽  
The Mean ◽  
The Impact

Introduction: Body mass index BMI is a risk factor that influences semen quality and reduces male fertility. The aim of this study was to determine the impact of body mass index (BMI) on semen parameters in infertile men. Subject and method: A total of 446 infertile men, the study population was divided into four groups depending on their BMI , underweight (<18.5 kg/), normal weight (18.5-24.99 kg/m2 ), overweight 25-29.99 kg/m2), and obese >30.0 kg/.semen parameters (PH, volume, concentration ,total semen count ,vitality, morphology and motility ) were compared across the four BMI groups. Results: The mean of age was 41.91±6.39, the mean infertility duration was 4.92±3.28, 351(78.7٪) had primary infertility and 95(21.3٪) had secondary infertility. The mean BMI was 29.38± 4.85 and the most of patients 45.2٪ were obese. Conclusion: This study has found evidence of an association between BMI and semen parameters (Sperm concentration, Total sperm count, motility, and vitality) and no correlation between Semen volume, morphology and BMI. Keywords: Body mass index, male infertility, semen quality, west of Algeria

scholarly journals Hubungan indeks massa tubuh dengan profil lipid pada pasien diabetes melitus tipe 2

e-CliniC ◽  
2016 ◽  
Vol 4 (1) ◽  
Author(s):  
Pradika H. Koampa ◽  
Karel Pandelaki ◽  
Marthen C.P. Wongkar
Keyword(s):  
Body Mass Index ◽  
High Density Lipoprotein ◽  
Total Cholesterol ◽  
Body Mass ◽  
Pearson Correlation ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
High Density ◽  
Low Density ◽  
Diabetes Melitus

Abstract: Body Mass Index (BMI) is a measurement of nutritional status by calculating the ratio of height and weight. Type 2 Diabetes Mellitus (T2DM) is more common in a person with a BMI of more than normal. In patients with T2DM, there is lipid metabolism disorder, dyslipidaemia. Changes in lipid profiles consist of increased levels of total cholesterol, Low Density Lipoprotein (LDL), and triglycerides, and decreased levels of High Density Lipoprotein (HDL). This study aimed to obtain the correlation between body mass index and lipid profile in T2DM patients in Prof. Dr. R. D. Kandou Hospital Manado. This was a descriptive analytical study using patients’ medical record in Endocrine Clinic Prof. Dr. R. D. Kandou Hospital Manado from September to November 2015. The Pearson correlation test showed correlations between BMI and total cholesterol levels with r=0.037and p=0.763; between BMI and HDL levels with r=-0.249 and p=0.039; between BMI and LDL levels with r=0.091 and p=0,455; and between BMI and triglyceride levels with r=0.179 and p=0.142. Conclusion: Among T2DM patients, there were no significant correlations between body mass index and total cholesterol, LDL cholesterol, as wello as triglyceride levels. However, there was a significant correlation between body mass index and HDL levels. Keywords: body mass index, total cholesterol, HDL, LDL, triglycerides, T2DM Abstrak: Indeks Massa Tubuh (IMT) merupakan salah satu pengukuran status gizi dengan menghitung perbandingan tinggi badan dan berat badan. Diabetes Melitus Tipe 2 (DMT2) lebih sering terjadi pada individu dengan IMT lebih dari normal. Pada pasien DMT2 terjadi gangguan metabolisme lipid yaitu dislipidemia. Perubahan profil lipid yang terjadi yaitu peningkatan kadar Kolesterol Total, Low Density Lipoprotein (LDL), dan trigliserida, serta penurunan kadar High Density Lipoprotein (HDL). Penelitian ini bertujuan untuk mengetahui hubungan antara IMT dengan profil lipid pada pasien DMT2di RSUP Prof. Dr. R. D. Kandou Manado. Jenis penelitian ini deskriptif analitik dengan menggunakan data rekam medik pasien di Poliklinik Endokrin Bagian/SMF Ilmu Penyakit Dalam RSUP. Prof. Dr. R. D. Kandou Manado periode September – November 2015. Hasil uji korelasi Pearson memperlihatkan nilai hubungan antara IMT dan kadar kolesterol total r = 0,037 dan p = 0,763 ; nilai hubungan antara IMT dan kadar HDL r = -0,249 dan p = 0,039 ; nilai hubungan antara IMT dan kadar LDL r = 0,091 dan p = 0,455; serta nilai hubungan antara IMT dan kadar trigliserida r = 0,179 dan p = 0,142. Simpulan: Pada pasien DMT2 tidak dijumpai hubungan bermakna antara IMT dengan kadar kolesterol total, kadar LDL, dan kadar trigliserida, namun terdapat hubungan bermakna antara IMT dengan kadar HDL.Kata kunci: IMT, kolesterol total, HDL, LDL, trigliserida, DMT2

scholarly journals Assessment of Coronary Slow Flow, Cystatin C, and Body Mass Index in Female Candidates for Diagnostic Coronary Artery Angiography

2020 ◽  
Vol 5 (1) ◽  
pp. 4-8
Author(s):  
Naser Aslan Abadi ◽  
Roghaiyeh Afsargharehbagh ◽  
Aliakbar Nasiri ◽  
MirHosein SeyedMohammadzad ◽  
Kamal Khademvatan ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Cystatin C ◽  
Pearson Correlation ◽  
Enzyme Linked Immunosorbent Assay ◽  
Slow Flow ◽  
Significance Level ◽  
Timi Frame Count ◽  
Female Patients ◽  
Coronary Slow Flow

Introduction: Evidence indicates that the associations between coronary slow flow (CSF), cystatin C (Cys C), and body mass index (BMI) are unclear. Therefore, the purpose of our study was to determine the association among the above-mentioned parameters in female patients. Methods: This was a descriptive-analytical study and the participants were those who were referred to the Shohada Cardiovascular Center of Urmia in 2015-2016. The participants were measured by a quantitative method under angiography (corrected TIMI frame count, CTFC) for CSF assessment, followed by evaluating physiological indices and the serum Cys C by the enzyme-linked immunosorbent assay. Finally, Pearson correlation coefficient test was used to analyze the correlations among CTFC, Cys C, and BMI, and a significance level of P < 0.05 was used for this test. Results: Sixty-six female patients (mean age: 57.01±8.25 years) took part in this study. The correlations among Cys C with CTFC, and BMI (r=-0.189, P=0.128 and r=0.044, P=0.724, respectively) and BMI with CTFC (r=-0.178, P=0.153) were not meaningful in female patients’ who were candidates for angiography. Conclusion: In general, the results suggested that serum Cys C cannot be considered as a predictive biomarker for the prognostic stratification of CSF and BMI in female patients aged 34-73 years who were candidates for angiography.

scholarly journals Oral Antioxidants Mitigate Levels of Malonedialdehyde and Protein Carbonyl and Improve Semen Parameters in Men with Oligoasthenozoospermia

2020 ◽  
Author(s):  
Vegim Zhaku ◽  
Sheqibe Beadini ◽  
Nexhbedin Beadini ◽  
Gazmend Amzai
Keyword(s):  
Oxidative Stress ◽  
Standard Deviation ◽  
Side Effects ◽  
Semen Analysis ◽  
Pearson Correlation ◽  
Protein Carbonyl ◽  
Semen Parameters ◽  
Duration Of Treatment ◽  
Treatment Regimens ◽  
Raising Awareness

Abstract Raising awareness about treating options in North Macedonia, while sperm parameters are decreasing because of increased oxidative stress, in a terrain like this, represents a big challenge. All the patients that fulfilled the required criteria, 37 were enrolled in the study signing a document that explains nature of the study. The first semen sample was collected with at least three days of abstinence. From the sample 0.5 ml was used for standard semen analysis, 1.2 ml was used to evaluate the levels of malonedialdehyde (MDA) and protein carbonyl (PC). The last sample was collected after 6 months. Mean, Standard Deviation, the Pearson Correlation and an independent student t-test were used for statistical analyses. Concentration and motility were significantly increased after 6 months of treatment (p<0.001).The level of MDA shows significantly lower values after six months of therapy with antioxidants (p<0.001).Whereas another marker which is denoted by PC was also lower after the treatment, but was not statistically significant (p=0.0554). There is, however, lack of agreement, because improvement is not consistent and there is wide variation in the treatment regimens, on the dose and duration of treatment and whether mono or combined oral antioxidants should be administered. Always keep on mind that, antioxidants are not free from potential side effects “antioxidant paradox”.

scholarly journals Correlation between Core Strength and Stability with Body Mass Index among Postmenopausal Women.

2021 ◽  
Vol 11 (4) ◽  
Author(s):  
S Bhosale Komal ◽  
V Bhosale Siddhi ◽  
Anandh Dr. S
Keyword(s):  
Body Mass Index ◽  
Postmenopausal Women ◽  
Body Mass ◽  
Pearson Correlation ◽  
The Body ◽  
P Value ◽  
Endurance Test ◽  
Core Strength ◽  
The Core ◽  
Flexion Test

Women in postmenopausal period of their life face various physical and physiological changes causing lack of estrogen and progesterone hormones, changes in the reproductive and genitals organs, vasomotor system in the body along with mood related symptoms such as anxiety, etc. Lifestyle, body fat distribution and anthropometric changes adds on to the bone strength in postmenopausal women. It may be a risk factor for osteoporotic fracture, cardiovascular, metabolic diseases, etc. Core strength and stability is greatly influenced by body composition and adiposity. The aim of the study was to correlate the core strength assessed with the Body Mass Index (BMI) among postmenopausal women. The objective of the study is to find the correlation between the core strength assessed with the Body Mass Index using 60° flexion test, Beiring Sorenson test and Unilateral Hip Bridge Endurance test among postmenopausal women with age ranging from 46-70 years. 96 healthy postmenopausal women in Karad city with a natural history of menopause were selected for the study. Based upon BMI values, the subjects were grouped as Underweight (<18.5 kg/m2), Normal weight (18.5-24.9 kg/m2), Overweight (25-29.9 kg/m2 and more). The outcome values for strength were correlated with the BMI of postmenopausal women. In the study, the Pearson correlation(r) was -0.361 and the P value was 0.0003 showing extremely significant correlation between the BMI and 60° Flexion test. For the Beiring Sorenson Test, the Pearson correlation value was -0.305 and the P value was 0.0025 showing very significant correlation between the BMI and Beiring Sorenson Test. Correlation of BMI and Unilateral Hip Bridge Endurance Test shows a Pearson Correlation value of -0.322 and the P value 0.0013 claiming very significant correlation between the BMI and Unilateral Hip Bridge Endurance Test. The study concludes that there is a significantly negative correlation between the core strength and stability with the Body Mass Index among postmenopausal women.

scholarly journals Body Mass Index and Its Association with Genetically Transmitted Traits

2020 ◽  
Vol 2020 ◽  
pp. 1-5
Author(s):  
Sultan Z. Alasmari ◽  
Nashwa Eisa ◽  
Saeed Mastour Alshahrani ◽  
Mohammad Mahtab Alam ◽  
Prasanna Rajagopalan ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Female Students ◽  
Blood Type ◽  
Hair Color ◽  
Healthy Weight ◽  
Genetic Traits ◽  
Eye Color ◽  
Abo Blood Type ◽  
Chi Square Analysis

Background. Body mass index (BMI) is a metric widely used to measure the healthy weight of an individual and to predict a person’s risk of developing serious illnesses. Study the statistical association between genetically transmitted traits and BMI might be of interest. Objectives. The present study designed to extend the inadequate evidence concerning the influence of some genetically transmitted traits including ABO blood type, Rh factor, eye color, and hair color on BMI variation. Methods. A total of 142 undergraduate female students of the Department of Clinical Laboratory Sciences, Faculty of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia, were participated to investigate the possible linkage between genetic traits and BMI variations. Height and weight are collected from participants for BMI measurement. ABO blood type and Rh factor were determined by antisera. Results. Out of 142 female students, 48 were categorized in the first tertile (T1: less than 19.8 kg/m2), 50 were categorized in the second tertile (T2: between 19.8 and 23.7 kg/m2), and 44 were categorized in the third tertile (T3: greater than 23.7 kg/m2). Chi-square analysis shows that there were no associations of genetic traits including hair color, eye color, ABO blood type, and Rh blood type with BMI. However, a significant association between hair color and BMI was observed using multinomial logistic regression analysis. Conclusions. Our data provides a more robust prediction of the relative influence of genetic effects such as hair color on BMI. Future studies may contribute to identifying more association between genes involved in hair pigmentation and BMI variation.

scholarly journals Response: An exploration of the association between male body mass index and semen quality

2012 ◽  
Vol 24 (4) ◽  
pp. 483-484
Author(s):  
Ahmad Ghiyath Shayeb ◽  
Kirsten Harrild ◽  
Eileen Mathers ◽  
Siladitya Bhattacharya
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Semen Quality ◽  
Male Body

scholarly journals Consistency between Self-Reported and Recorded Values for Clinical Measures

2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Joseph Thomas III ◽  
Mindy Paulet ◽  
Jigar R. Rajpura
Keyword(s):  
Blood Pressure ◽  
Body Mass Index ◽  
Systolic Blood Pressure ◽  
Diastolic Blood Pressure ◽  
Body Mass ◽  
Pearson Correlation ◽  
Recorded Data ◽  
Pearson Correlation Analysis ◽  
Reported Data ◽  
Clinical Measures

Objectives. This study evaluated consistency between self-reported values for clinical measures and recorded clinical measures.Methods. Self-reported values were collected for the clinical measures: systolic blood pressure, diastolic blood pressure, glucose level, height, weight, and cholesterol from health risk assessments completed by enrollees in a privately insured cohort. Body mass index (BMI) was computed from reported height and weight. Practitioner recorded values for the clinical measures were obtained from health screenings. We used bivariate Pearson correlation analysis and descriptive statistics to evaluate consistency between self-reported data and recorded clinic measurements.Results. There was high correlation between self-reported clinical values and recorded clinical measures for diastolic blood pressure (r=0.91,P=<0.0001), systolic blood pressure (r=0.93,P=<0.0001), cholesterol (r=0.97,P=<0.0001), body mass index (r=0.96,P=<0.0001), glucose (r=0.96,P=<0.0001), weight (r=0.98,P=<0.0001), and height (r=0.89,P=<0.0001).Conclusions. Self-reported clinical values for each of the eight clinical measures examined had good consistency with practitioner recorded data.

Implications of Obesity on Endoscopic Sinus Surgery Postoperative Complications: An Analysis of the NSQIP Database

2020 ◽  
pp. 019459982095518
Author(s):  
Robert D. Wardlow ◽  
Isaac A. Bernstein ◽  
Cinthia P. Orlov ◽  
Nicholas R. Rowan
Keyword(s):  
Body Mass Index ◽  
Adverse Events ◽  
Body Mass ◽  
Endoscopic Sinus Surgery ◽  
Adult Patients ◽  
Sinus Surgery ◽  
Obese Patients ◽  
Improvement Program ◽  
Perioperative Bleeding ◽  
Chi Square Analysis

Objective To evaluate the influence of body mass index on postoperative adverse events in adult patients undergoing endoscopic sinus surgery. Study Design Retrospective cohort study. Setting Database of the American College of Surgeons NSQIP (National Surgical Quality Improvement Program) from 2006 to 2018. Methods The NSQIP database was queried for adult patients undergoing endoscopic sinus surgery. The total sample (N = 1546) was stratified by nonobese (18.5 kg/m2≤ body mass index <30 kg/m2) and obese (≥30 kg/m2). Demographics, comorbidities, intraoperative variables, and postoperative adverse events were compared via chi-square analysis and multivariable logistic regression. Results Obese patients accounted for 49.7% (n = 768) of the cohort. Obese patients had a higher American Society of Anesthesiologists classification (class III, 45.1% vs 29.5%; P < .001), rate of diabetes (18.2% vs 7.2%, P < .001), and rate of hypertension requiring medication (43.1% vs 23.0%, P < .001). Nonobese patients were more likely to be >58 years of age (23.4% vs 29.0%, P = .02) and have disseminated cancer (<1% vs 3.2%, P < .001). The obese cohort had a lower frequency of surgical complications (3.0% vs 5.4%, P = .027), driven by frequency of perioperative bleeding (1.8% vs 3.7%, P = .022). There was no statistical difference in medical complications ( P = .775), unplanned readmissions ( P = .286), unplanned reoperations ( P = .053), or 30-day mortality ( P > .999). After multivariable adjustment, obese subjects had decreased odds of any surgical complication (adjusted odds ratio [aOR], 0.567; 95% CI, 0.329-0.979), perioperative bleeding (aOR, 0.474; 95% CI, 0.239-0.942), and any adverse postoperative event (aOR, 0.740; 95% CI, 0.566-0.968). Conclusion Obesity does not increase the risk of 30-day adverse outcomes following endoscopic sinus surgery and may even be protective against perioperative bleeding.

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