Haematological, blood sugar, and body mass index changes in Sprague-Dawley rats administered with watermelon juice (Citrullus lanatus)

Objective To examine the change in body mass index (BMI) categories between pregnancies and its effect on adverse pregnancy outcomes. Study Design We performed a retrospective cohort study of women with two consecutive deliveries from 2005 to 2010. Analysis was limited to women with BMI recorded at <24 weeks for both pregnancies. Standard BMI categories were used. Adverse pregnancy outcomes included preterm birth at <37 weeks, intrauterine growth restriction (IUGR), pregnancy-related hypertension, and gestational diabetes mellitus (GDM). Women with increased BMI category between pregnancies were compared with those who remained in the same BMI category. Results In total, 537 women were included, of whom 125 (23%) increased BMI category. There was no association between increase in BMI category and risk of preterm birth, IUGR, or pregnancy-related hypertension. Women who increased BMI category had an increased odds of GDM compared with women who remained in the same BMI category (6.4 vs. 2.2%; p = 0.018). The increased risk remained after controlling for age, history of GDM, and starting BMI (adjusted odds ratio: 8.2; 95% confidence interval: 2.1–32.7; p = 0.003). Conclusion Almost one-quarter of women increased BMI categories between pregnancies. This modifiable risk factor has a significant impact on the risk of GDM.

Download Full-text

P0825ASSOCIATION OF BODY MASS INDEX CHANGES WITH CHRONIC KIDNEY DISEASE IN A JAPANESE GENERAL POPULATION

Nephrology Dialysis Transplantation ◽

10.1093/ndt/gfaa142.p0825 ◽

2020 ◽

Vol 35 (Supplement_3) ◽

Author(s):

Akiko Toda ◽

Shigeko Hara ◽

Hiroshi Tsuji ◽

Yasuji Arase

Keyword(s):

Body Mass Index ◽

Chronic Kidney Disease ◽

Risk Factor ◽

Kidney Disease ◽

Body Mass ◽

Estimated Glomerular Filtration Rate ◽

Multivariate Logistic Regression Analysis ◽

Health Check ◽

Japanese General Population ◽

Index Changes

Abstract Background and Aims Obesity is a risk factor for chronic kidney disease (CKD), but the effect of reducing body mass index (BMI) on the prevention of CKD is controversial. One of reasons for this disagreement is that part of patients with a BMI decrease may have an unfavourable health status. In such cases, the BMI decrease could be a risk factor for the development of CKD. Therefore, by analysing the data of annual health check-ups, we examined an association between BMI change and CKD development to determine whether BMI reduction helps prevent CKD development. Method We analysed the data of 6,959 subjects who underwent annual health check-ups in both 2013 and 2018. By a multivariate logistic regression analysis, we investigated a relationship between BMI change and CKD development within the 5 years between 2013 and 2018. The percent change in the BMI (ΔBMI) was calculated using the following equation: {(BMI in 2018 − BMI in 2013)/BMI in 2013} ×100. For analyses, we classified the subjects into five groups based on their ΔBMI value: (i) severe BMI decrease (ΔBMI <−2.5%); (ii) moderate BMI decrease (ΔBMI ≥−2.5% but <0%); (iii) maintained BMI (ΔBMI ≥0% but <2.5%); (iv) moderate BMI increase (ΔBMI ≥2.5% but <5%); (v) severe BMI increase (ΔBMI ≥5%). For further analysis, we divided the subjects into non-obesity category (basal BMI <25 Kg/m2) and obesity category (basal BMI ≥25 Kg/m2). Subjects with an estimated glomerular filtration rate <60 mL/min./1.73 m2 were defined as having a CKD. Results After adjusting several covariates, compared with the maintained BMI group, the severe BMI decrease group showed a significantly low risk of CKD development (odds ratio (OR) 0.70, 95% confidence intervals (CI) 0.54-0.91, p <0.01) and the severe BMI increase group had a significantly high risk (OR 1.40, CI 1.08-1.81, p = 0.01). A farther analysis revealed that the OR of CKD development for the severe BMI increase group in the obesity category was higher than that in the non-obesity category (OR 1.75 vs. 1.29). Conclusion In subjects who underwent annual health check-ups, BMI reduction had a significant effect on the prevention of CKD development, whereas an increase in the BMI was a risk factor for CKD development. Moreover, by severe increase in the BMI, obesity subjects showed higher risk of CKD development than non-obesity subjects.

Download Full-text

Pattern of Fasting Blood Sugar, Blood Pressure and Body Mass Index among Combined Oral Contraceptive (COC) Pills Users in Chencha, Southern Ethiopia: a cross-sectional study

10.21203/rs.2.19624/v1 ◽

2019 ◽

Author(s):

Zelalem Kofole ◽

Diresbachew Haile ◽

Yerukneh Solomon ◽

Eyayu Girma

Keyword(s):

Blood Pressure ◽

Body Mass Index ◽

Oral Contraceptive ◽

Blood Sugar ◽

Arterial Blood Pressure ◽

Body Mass ◽

Mean Arterial Blood Pressure ◽

Fasting Blood Sugar ◽

Cross Sectional ◽

Arterial Blood

Abstract Background: The use of contraceptives has become prevalent among women in Ethiopia. Oral contraceptive use has been suggested to trigger changes in glucose metabolism, energy expenditure, blood pressure, and body weight, among the various populations and ethnic groups. Objective: To elucidate the pattern of fasting blood sugar (FBS), blood pressure and body mass index (BMI) among combined oral contraceptive (COC) pills users, taking into account other confounding factors including socioeconomic conditions and physical activity status. Methods: An institution based cross-sectional study design was employed. A total of 110 healthy women using pills were recruited as cases. Another 110 healthy women not using any hormonal contraceptives were recruited as matched controls. A study was conducted between October 2018 and January 2019. Fasting Capillary blood sample was collected from the study participants for the estimation of the FBS level. Systolic and diastolic blood pressures were measured and means arterial blood pressure was calculated for each participant. Body weight and height were measured to compute body mass index. Data obtained was entered and analyzed using IBM SPSS version 23 software packages. Results: FBS level in users was significantly increased compared to controls (88.55 ± 7.89 vs. 86.00 ± 9.85 in users and controls respectively, P = 0.025). There was a significant difference in mean arterial blood pressure of users compared to controls (88.2 ± 8.48 vs. 86.0 ± 6.74 respectively, P=0.04). The mean weight and body mass index of users were significantly increased (P = 0.03 and P = 0.003, respectively). Changes in mean fasting blood sugar level and mean weight of users were independent (P = 0.27 and P = 0.46) to the duration of use (3-12, 13-24 and ≥ 25 months). On the other hand, changes in mean body mass index and mean arterial blood pressure of users were dependent of the duration of use (P = 0.03 and P = 0.000 respectively). Conclusions: Overall, oral contraceptive pills use appears to cause a 2.9% increase in fasting blood glucose level, a 2.5% increase in mean arterial blood pressure and a 3.9% increase in body mass index among the users.

Download Full-text

Korelasi asupan makronutrien dengan indeks massa tubuh, kadar gula darah, dan protein total darah pada pengguna narkoba

Jurnal Gizi Klinik Indonesia ◽

10.22146/ijcn.42623 ◽

2021 ◽

Vol 17 (3) ◽

pp. 147

Author(s):

Ginta Siahaan ◽

Tiarlince Bakara ◽

Yusnita Yusnita ◽

Kasmiyeti Kasmiyeti

Keyword(s):

Body Mass Index ◽

Blood Sugar ◽

Body Mass ◽

Drug Users ◽

Blood Sugar Level ◽

Blood Protein ◽

Macronutrient Intake ◽

Total Blood ◽

Random Blood Sugar ◽

Sugar Levels

Correlation of macronutrient intake with body mass index, blood sugar levels, and total blood protein in drug usersBackground: Random blood sugar level and total blood protein need to be measured among drug users because their macronutrient intakes (carbohydrates, fat, protein, and energy) are not appropriate to the pattern of daily habits before uses drugs. Drug users had decreased appetite during the influence and withdrawal symptoms of drugs with the impacts on their body mass index (BMI). Objective: To analyze the correlation of macronutrient intakes between the random blood sugar level, total blood protein, and BMI drug users.Methods: This research was conducted with a cross-sectional design and observational study. 73 drug users were included in the study with the screening by inclusion criteria. 24-hour food recall was used to collect the macronutrient intakes, random blood sugar levels and total blood protein were monitored by the GOD-PAP method, and BMI was measured by weight and height. Data analysis used Pearson’s correlation test in bivariate and multivariate was carried out by multiple linear regressions. Results: Pearson’s correlation analysis showed that there was a significant correlation between macronutrient intakes (energy, carbohydrate, fat) with random blood sugar level, total blood protein, and BMI. BMI was the most affected by energy (β=0.531), random blood sugar level was the most affected by carbohydrates (β=0.073), and total blood protein was the most affected by protein (β=0.837).Conclusions: Macronutrient intake is significantly related to BMI, random blood sugar levels, and total blood protein in drug users. Community collaboration with related parties such as the public health service and National Narcotics Agency will very quickly detect drug side effects early on eating disorders that will affect the nutritional status of its users.

Download Full-text

Effect of Metformin Therapy on Clinical and Hormonal Indices of Patients with Polycystic Ovary Syndrome

10.53350/pjmhs211551522 ◽

2021 ◽

Vol 15 (5) ◽

pp. 1522-1525

Author(s):

S. Inayat ◽

H. F. Khattak ◽

M. G. Muhammad ◽

K. Robeen ◽

A. Inayat ◽

...

Keyword(s):

Blood Pressure ◽

Body Mass Index ◽

Body Weight ◽

Polycystic Ovary Syndrome ◽

Blood Sugar ◽

Body Mass ◽

Polycystic Ovary ◽

Fasting Blood Sugar ◽

Ovary Syndrome ◽

Group Ii

Objective: The main objective of this study is to determine the efficacy of metformin therapy on clinical and hormonal indices of patients with polycystic ovary syndrome. Study Design: Randomized control trial Place and Duration: Study was conducted at Obstetrics & Gynaecology department of Northwest General Hospital and Research Center, Peshawar and Mian Rashid Hussain Shaheed Memorial Hospital, Pabbi for duration of nine months from March 2020 to November 2020. Methods: Total 100 patients of polycystic ovary syndrome were presented in this study. Patients were aged between 18 to 45years. Patients detailed demographics including age, body mass index and socio-economicstatus were recorded after taking informed written consent. Patients were divided into 2-groups, group I had 50 patients and received metformin (500 mg) three times a day and group II had 50 patients and received pioglitazone (30 mg) three times a day for 3months.Clinical (body weight, blood pressure (BP), and body mass index) and indices fasting blood sugar (FBS), serum triglyceride (TG), cholesterol, low-density lipoprotein, high-density lipoprotein, insulin, testosterone, and dehydroepiandrosterone (DHEA) were measured before and after therapy. Complete data was analyzed by SPSS 22.0 version. Results: Mean age of the patients in group I was 29.18 ± 2.25 years with mean BMI 26.14 ± 8.86 kg/m2 and in group II mean age was 29.8 ± 2.52 years with mean BMI 27.64 ± 7.68 kg/m2.Significantly decrease in blood pressure (systolic 105.41±8.57, diastolic 67.19±8.9), hair loss 20 (40%),oligomenorrhea 23 (46%), body weight 74.45±9.72, waist circumference and dehydroepiandrosterone (DHEA) 2.35±0.67 and as compared to group II. Only triglycerides gave results of reduction in group II 115.39±64.11. Among both groups serum insulin, acne, menstrual disturbance and fasting blood sugar were controlled after treatment. Conclusion: We concluded in this study that use of metformin in patients with polycystic ovary syndrome resulted in to decrease clinical body weight, blood pressure (BP), body mass index and hormonal indices with reduction of serum insulin, acne, menstrual disturbance and fasting blood sugar but pioglitazone was an alternative effective and reliable method in PCOS patients. Keywords: Polycystic ovary syndrome, Insulin resistance, Metformin, Pioglitazone

Download Full-text