Association between efficacy and body weight or body mass index for two low-dose oral contraceptives

Contraception ◽  
2009 ◽  
Vol 79 (6) ◽  
pp. 424-427 ◽  
Author(s):  
Ronald T. Burkman ◽  
Alan C. Fisher ◽  
George J. Wan ◽  
Christopher E. Barnowski ◽  
Katherine D. LaGuardia
Keyword(s):  
Body Mass Index ◽  
Body Weight ◽  
Body Mass ◽  
Oral Contraceptives ◽  
Low Dose ◽  
Dose Oral

scholarly journals Effects of Triphala on Lipid and Glucose Profiles and Anthropometric Parameters: A Systematic Review

2021 ◽  
Vol 26 ◽  
pp. 2515690X2110110
Author(s):  
Wiraphol Phimarn ◽  
Bunleu Sungthong ◽  
Hiroyuki Itabe
Keyword(s):  
Body Mass Index ◽  
Body Weight ◽  
Blood Glucose ◽  
Waist Circumference ◽  
Lipid Profile ◽  
Body Mass ◽  
The Body ◽  
Current Evidence ◽  
Diabetic Patients ◽  
Anthropometric Parameters

Aim. The efficacy of triphala on lipid profile, blood glucose and anthropometric parameters and its safety were assessed. Methods. Databases such as PubMed, ScienceDirect, Web of Science, and Thai Library Integrated System (ThaiLIS) were systematically searched to review current evidence of randomized controlled trials (RCT) on triphala. RCTs investigating the safety and efficacy of triphala on lipid profile, blood glucose and anthropometric parameters were included. Study selection, data extraction, and quality assessment were performed independently by 2 authors. Results. Twelve studies on a total of 749 patients were included. The triphala-treated groups showed significantly reduced low-density lipoprotein-cholesterol, total cholesterol and triglyceride in 6 studies. Five RCTs demonstrated triphala-treated groups led to statistically significant decrease in body weight, body mass index and waist circumference of obese patients. Moreover, triphala significantly decreased fasting blood glucose level in diabetic patients but not in people without diabetes. No serious adverse event associated with triphala was reported during treatment. Conclusions. This review summarized a current evidence to show triphala might improve the lipid profile, blood glucose, the body weight, body mass index and waist circumference under certain conditions. However, large well-designed RCTs are required to confirm this conclusion.

scholarly journals Correlation of Body Mass Index with Oncologic Outcomes in Colorectal Cancer Patients: A Large Population-Based Study

Cancers ◽  
2021 ◽  
Vol 13 (14) ◽  
pp. 3592
Author(s):  
Chong-Chi Chiu ◽  
Chung-Han Ho ◽  
Chao-Ming Hung ◽  
Chien-Ming Chao ◽  
Chih-Cheng Lai ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Body Mass Index ◽  
Body Weight ◽  
Body Mass ◽  
Survival Rates ◽  
Normal Weight ◽  
P Value ◽  
Administrative Claims ◽  
The Impact

It has been acknowledged that excess body weight increases the risk of colorectal cancer (CRC); however, there is little evidence on the impact of body mass index (BMI) on CRC patients’ long-term oncologic results in Asian populations. We studied the influence of BMI on overall survival (OS), disease-free survival (DFS), and CRC-specific survival rates in CRC patients from the administrative claims datasets of Taiwan using the Kaplan–Meier survival curves and the log-rank test to estimate the statistical differences among BMI groups. Underweight patients (<18.50 kg/m2) presented higher mortality (56.40%) and recurrence (5.34%) rates. Besides this, they had worse OS (aHR:1.61; 95% CI: 1.53–1.70; p-value: < 0.0001) and CRC-specific survival (aHR:1.52; 95% CI: 1.43–1.62; p-value: < 0.0001) rates compared with those of normal weight patients (18.50–24.99 kg/m2). On the contrary, CRC patients belonging to the overweight (25.00–29.99 kg/m2), class I obesity (30.00–34.99 kg/m2), and class II obesity (≥35.00 kg/m2) categories had better OS, DFS, and CRC-specific survival rates in the analysis than the patients in the normal weight category. Overweight patients consistently had the lowest mortality rate after a CRC diagnosis. The associations with being underweight may reflect a reverse causation. CRC patients should maintain a long-term healthy body weight.

scholarly journals Post-Kidney Transplant Visit-to-Visit Body Mass Index Variability as a Risk of Post-Transplant Systolic Hypertension

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1693-1693
Author(s):  
Ekamol Tantisattamo ◽  
Natnicha Leelaviwat ◽  
Natchaya Polpichai ◽  
Chawit Lopimpisuth ◽  
Sakditad Saowapa ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Weight ◽  
Kidney Transplant ◽  
Median Time ◽  
Body Mass ◽  
Overweight And Obesity ◽  
Absolute Difference ◽  
Renal Transplant Recipients ◽  
Time To Event ◽  
Post Transplant

Abstract Objectives Overweight and obesity are associated with hypertension (HTN) in renal transplant recipients (RTR). Body weight variability is known to be associated with HTN and poor cardiovascular (CV) outcomes in diabetic patients. After successful kidney transplantation (KT), weight change is very common due partly to perioperative and immunological factors. Association between body weight variability and HTN in RTR is unknown. We hypothesize that high body weight variability is associated with post-transplant HTN. Methods Body weight variability of RTR from a single transplant center was assessed as visit-to-visit body mass index variability (VVBMIV) by using average successive variability (ASV = the average absolute difference between successive values of BMI measured at 4, 12, 24, 36, and 48 weeks after KT). Multi-variable Cox proportional hazard regression analysis was used to examine association between post-transplant VVBMIV and systolic and diastolic HTN (SHTN and DHTN), which are defined as SBP and DBP ≥130 and 80 mmHg, respectively. Results Of 104 RTR, mean ± SD age was 54.29 ± 11.65 years and 62% were female. The majority (36%) were obese followed by normal weight (33%), and overweight (31%). Incidence of SBP was 0.041 person-weeks and median time to event was 12.86 weeks; while the incidence of DBP was 0.036 person-weeks with a slightly longer median time-to-event of 13 weeks. Mean ASV of BMI was 1.26 ± 0.82 kg/m2 (0.47 to 2.18). Risk of SHTN is increased 32% for every 1 kg/m2 increase in VVBMIV (HR 1.32, 95%CI 1.04 to 1.68, P 0.022). After adjusted for age, gender, and their interaction terms, very 1 kg/m2 increase in VVBMIV is associated with a 29% greater risk of developing SHTN (HR 1.29, 95% CI 1.01 to 1.65, P 0.043). However, increase in VVBMIV is not associated with an increased risk of DHTN for both univariable (HR 1.15, 95%CI 0.88 to 1.49, P 0.308) and multi-variable Cox regressions models (HR 1.13, 95%CI 0.86 to 1.49, P 0.391). Conclusions Post-kidney transplant VVBMIV is independently associated post-transplant SHTN, but not DHTN. Further studies is needed to examine mechanism of body weight variability and blood pressure outcomes in RTR. Funding Sources None.

scholarly journals Relationship between Body Mass Index, Blood Pressure, and Visual Acuity in Residents of Esan West Local Government Area of Edo State, Nigeria

2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
I. O. Ernest-Nwoke ◽  
M. O. Ozor ◽  
U. Akpamu ◽  
M. O. Oyakhire
Keyword(s):  
Blood Pressure ◽  
Body Mass Index ◽  
Visual Acuity ◽  
Body Weight ◽  
Local Government ◽  
Body Mass ◽  
Local Government Area ◽  
Cross Sectional ◽  
Snellen Chart ◽  
Edo State

Aim. To study the relationship between body mass index (BMI) and blood pressure (BP) on visual acuity among apparently healthy residents of Ekpoma, Esan West Local Government Area of Edo State, Nigeria. Methodology. This is a cross-sectional descriptive study among 225 subjects (ages of 18–35 years) from whom BP, body weight, and height were collected. Visual acuity was measured using the Snellen chart following standard procedures of number of letters seen at 6-metre distance. The data were then analyzed using SPSS version 17. Results. The sampled population consists of 112 male and 113 female (mean age 31.72±14.2 years). Majority (180) of the respondents had normal visual acuity. However, compared with the respondents with normal BMI (R19.61±1.5; L19.67±1.70), visual acuity of underweight (R18.53±2.30; L18.53±2.70) and obese (R15.68±4.79; L17.73±1.70) were more deviated. Similarly, compared with respondent with normal BP (120–125/80–85 mmHg; R18.00±2.53; L18.07±3.11), hypotensive (R15.5±7.35; L15.00±10.20), and hypertensive (R15.01±21.25; L15.00±11.91) respondents had deviated visual acuity. Conclusion. Abnormal body weight (underweight and obese) and BP (hypotension and hypertension) have potential negative impacts on visual acuity. Based on the observed relationship between weights, BP, and visual acuity, eye examinations can be included as regular screening exercise for abnormal BMI and BP conditions.

scholarly journals Association between the Current Use of Low-Dose Oral Contraceptives and Cardiovascular Arterial Disease: A Meta-Analysis

2005 ◽  
Vol 90 (7) ◽  
pp. 3863-3870 ◽  
Author(s):  
Jean-Patrice Baillargeon ◽  
Donna K. McClish ◽  
Paulina A. Essah ◽  
John E. Nestler
Keyword(s):  
Oral Contraceptives ◽  
Low Dose ◽  
Meta Analysis ◽  
Arterial Disease ◽  
Dose Oral

scholarly journals The Trp64Arg Polymorphism of the β3-Adrenergic Receptor Gene Is Not Associated with Body Weight or Body Mass Index in Japanese: A Longitudinal Analysis

2003 ◽  
Vol 88 (12) ◽  
pp. 5914-5920 ◽  
Author(s):  
Yumi Matsushita ◽  
Tetsuji Yokoyama ◽  
Nobuo Yoshiike ◽  
Yasuhiro Matsumura ◽  
Chigusa Date ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Weight ◽  
Energy Intake ◽  
Body Mass ◽  
Longitudinal Analysis ◽  
Adrenergic Receptor ◽  
Cross Sectional ◽  
Genotype Frequencies ◽  
The Cross

Abstract The β3-adrenergic receptor (ADRB3) is expressed mainly in visceral adipose tissue and is thought to contribute to lipolysis and the delivery of free fatty acids to the portal vein. Although many studies have examined the relationship between the Trp64Arg mutation of ADRB3 and obesity, the results have been inconsistent. We examined the cross-sectional relationship of ADRB3 variants with indexes of obesity, and their longitudinal changes over 10 yr, in men and women, aged 40–69 yr, who were randomly selected from the Japanese rural population. The study considered both dietary energy intake and physical activity levels. Among the 746 participants, the genotype frequencies of the Trp64Trp, Trp64Arg, and Arg64Arg variants were 483, 224, and 39, respectively. The cross-sectional analysis showed no significant differences in height, weight, body mass index, blood pressure, serum total and high density lipoprotein cholesterols, and hemoglobin A1c among the genotype groups even after adjustments for gender, age, smoking, alcohol drinking, physical activity, and energy intake. No significant differences in the weight changes between the genotype groups were evident in the longitudinal analysis. We conclude that the Trp64Arg mutation of ADRB3 has little or no influence on either body weight or body mass index in the general Japanese population.

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