scholarly journals Is body mass index associated with irregular menstruation: a questionnaire study?

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Yunhui Tang ◽  
Yan Chen ◽  
Hua Feng ◽  
Chen Zhu ◽  
Mancy Tong ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Menstrual Cycle ◽  
Blood Loss ◽  
Body Mass ◽  
Odds Ratio ◽  
Normal Weight ◽  
Menstrual Blood ◽  
Menstrual Blood Loss ◽  
Menstrual Cycles ◽  
Significant Difference

Abstract Background Irregular menstrual cycles including the length of cycles and menses, and heavy menstrual blood loss are linked to many gynaecological diseases. Obesity has been reported to be associated with irregular menstrual cycles. However, to date, most studies investigating this association are focused on adolescence or university students. Whether this association is also seen in adult women, especially women who had a history of birth has not been fully investigated. Methods Questionnaire data were collected from 1012 women aged 17 to 53 years. Data on age, weight and height, gravida, the length of menstrual cycles and menses, and the number of pads used during menses were collected. Factors associated with menstrual cycle according to BMI categories were analysed. Results There were no differences in the length of menstrual cycles and menses in women of different body mass index (BMI) groups. However, there was a significant difference in menstrual blood loss in women of different BMI categories. The odds ratio of having heavy menstrual blood loss in obese women was 2.28 (95% CL: 1.244, 4.193), compared to women with normal weight, while there was no difference in the odds ratio of having heavy menstrual blood loss in overweight, compared to normal weight, women. In contrast, the odds ratio of having heavy menstrual blood loss in underweight women was 0.4034 (95% CL: 0.224, 0.725), compared to women with normal weight. Conclusion Although BMI was not correlated with the length of menstrual cycle and menses, BMI is positively associated with menstrual blood loss. Our data suggest that BMI influences menstrual blood loss in women of reproductive age and weight control is important in women’s reproductive years.

scholarly journals Is body mass index associated with irregular menstruation: A questionnaire study?

2020 ◽  
Author(s):  
Yunhui Tang ◽  
Yan Chen ◽  
Hua Feng ◽  
Chen Zhu ◽  
Mancy Tong ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Menstrual Cycle ◽  
Blood Loss ◽  
Body Mass ◽  
Odds Ratio ◽  
Normal Weight ◽  
Menstrual Blood ◽  
Menstrual Blood Loss ◽  
Menstrual Cycles ◽  
Significant Difference

Abstract Background: Irregular menstrual cycles including the length of cycles and menses, and heavy menstrual blood loss are linked to many gynaecological diseases. Obesity has been reported to be associated with irregular menstrual cycles. However, to date, most studies investigating this association are focused on adolescence or university students. Whether this association is also seen in adult women, especially women who had a history of birth has not been fully investigated. Methods: Questionnaire data were collected from 1012 women aged 17 to 53 years. Data on age, weight and height, gravida, the length of menstrual cycles and menses, and the number of pads used during menses were collected. Factors associated with menstrual cycle according to BMI categories were analysed.Results: There were no differences in the length of menstrual cycles and menses in women of different body mass index (BMI) groups. However, there was a significant difference in menstrual blood loss in women of different BMI categories. The odds ratio of having heavy menstrual blood loss in obese women was 2.28 (95% CL: 1.244, 4.193), compared to women with normal weight, while there was no difference in the odds ratio of having heavy menstrual blood loss in overweight, compared to normal weight, women. In contrast, the odds ratio of having heavy menstrual blood loss in underweight women was 0.4034 (95% CL: 0.224, 0.725), compared to women with normal weight. Conclusion: Although BMI was not correlated with the length of menstrual cycle and menses, BMI is positively associated with menstrual blood loss. Our data suggest that BMI influences menstrual blood loss in women of reproductive age and weight control is important in women’s reproductive years.

scholarly journals Is body mass index associated with irregular menstruation: A questionnaire study?

2020 ◽  
Author(s):  
Yunhui Tang ◽  
Yan Chen ◽  
Hua Feng ◽  
Chen Zhu ◽  
Mancy Tong ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Menstrual Cycle ◽  
Blood Loss ◽  
Body Mass ◽  
Odds Ratio ◽  
Normal Weight ◽  
Menstrual Blood ◽  
Menstrual Blood Loss ◽  
Menstrual Cycles ◽  
Significant Difference

Abstract Background: Irregular menstrual cycles including the length of cycles and menses, and heavy menstrual blood loss are linked to many gynaecological diseases. Obesity has been reported to be associated with irregular menstrual cycles. However, to date, most studies investigating this association are focused on adolescence or university students. Whether this association is also seen in adult women, especially women who had a history of birth has not been fully investigated. Methods: Questionnaire data were collected from 1012 women aged 17 to 53 years. Data on age, weight and height, gravida, the length of menstrual cycles and menses, and the number of pads used during menses were collected. Factors associated with menstrual cycle according to BMI categories were analysed.Results: There were no differences in the length of menstrual cycles and menses in women of different body mass index (BMI) groups. However, there was a significant difference in menstrual blood loss in women of different BMI categories. The odds ratio of having heavy menstrual blood loss in obese women was 2.28 (95%CL: 1.244, 4.193), compared to women with normal weight, while there was no difference in the odds ratio of having heavy menstrual blood loss in overweight, compared to normal weight, women. In contrast, the odds ratio of having heavy menstrual blood loss in underweight women was 0.4034 (95%CL: 0.224, 0.725), compared to women with normal weight. Conclusion: Although BMI was not correlated with the length of menstrual cycle and menses, BMI is positively associated with menstrual blood loss. Our data suggest that BMI influences menstrual blood loss in women of reproductive age and weight control is important in women’s reproductive years.

scholarly journals The Influence of BMI Levels on Phases of the Menstrual Cycle and Presumed Ovulation

2012 ◽  
Vol 79 (4) ◽  
pp. 451-459
Author(s):  
Mary Grace Lasquety ◽  
Dana Rodriguez ◽  
Richard J. Fehring
Keyword(s):  
Body Mass Index ◽  
Menstrual Cycle ◽  
Odds Ratio ◽  
Luteal Phase ◽  
High Body Mass Index ◽  
Normal Weight ◽  
Menstrual Cycles ◽  
Significant Difference ◽  
Overweight Group ◽  
One Way Anova

Obesity and high body mass index (BMI) are known to be risks for anovulation and infertility. Little is known about how BMI levels affect parameters of the menstrual cycle. The purpose of this study was to determine the influence of BMI on parameters of the menstrual cycle and the likelihood for ovulation. The participants in this study were 244 women between the ages of twenty and fifty-four (mean thirty years) who charted from one to thirty-six menstrual cycles (mean seven cycles) for a total of 2,035 cycles. Urinary luteinizing hormone (LH) threshold tests were used to estimate the day of ovulation and the lengths of the follicular and luteal phases. The 244 participants were classified as normal weight with a BMI of 18.5–24.9 kg/m2 (N = 141), overweight with a BMI of 25–29.9 kg/m2 (N = 67), and obese with a BMI of 30 kg/m2 or greater (N = 36). One-way ANOVA indicated that there was a significant difference between groups in length of the luteal phase (F = 4.62, p < 0.01) and length of menses (F = 3.03, p < 0.05). Odds ratio indicated that the combined obese and overweight group was 34 percent less likely to have a positive detected urinary LH surge. We concluded that obesity might contribute to infertility by shortening the luteal phase and decreasing the probability of ovulatory menstrual cycles.

scholarly journals OP0220 ASSESSING THE EFFECT OF INCREASED BODY MASS INDEX ON RESPONSE TO TNF INHIBITORS IN ESTABLISHED RHEUMATOID ARTHRITIS: RESULTS FROM THE METEOR DATABASE

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 137.1-137
Author(s):  
M. Dey ◽  
S. S. Zhao ◽  
R. J. Moots ◽  
R. B. M. Landewé ◽  
N. Goodson
Keyword(s):  
Rheumatoid Arthritis ◽  
Body Mass Index ◽  
Body Mass ◽  
Personalised Medicine ◽  
Normal Weight ◽  
Sensitivity Analyses ◽  
Established Rheumatoid Arthritis ◽  
Eular Response ◽  
Significant Difference ◽  
Das28 Remission

Background:Rheumatoid arthritis (RA) is associated with increased body mass index (BMI)- 60% of patients are either overweight or obese. Obesity in RA has been shown to predict reduced response to biologic therapy including tumour-necrosis-factor inhibitors (TNFi) [1]. However, it is not clear whether increased BMI influences response to all TNFi drugs in RA.Objectives:1.To explore whether BMI is associated with response to TNFi in patients with established rheumatoid arthritis (estRA), including those newly-starting on these drugs.Methods:Participants with estRA (>1year since diagnosis) taking biologic medications, registered on METEOR (international database of RA patients), 2008-2013, were included. EULAR response, DAS28 remission (including components), and treatment regimens were recorded at baseline, 6, and 12 months. WHO definitions of overweight (BMI≥ 25) and obese (BMI≥30) were explored as predictors of TNFi response (good EULAR response and DAS28 remission) using normal BMI as comparator. Logistic and linear regression models (controlling for age, gender, smoking, and baseline outcomes) and sensitivity analyses were performed. Subgroup analyses were performed for grouped TNFi and individual TNFi (infliximab, IFX; adalimumab, ADA; etanercept, ETN).Results:247 patients with estRA were taking a biologic at 6 months, and 231 patients were taking a biologic at 12 months. Obese patients taking any biologic were significantly less likely to achieve DAS28 remission (OR 0.33 [95%CI 0.12-0.80]) or good EULAR response (OR 0.37 [95%CI 0.16-0.81]) after 6 months, compared to those of normal BMI; this was also demonstrated in those co-prescribed methotrexate (DAS28 remission: OR 0.23 [95%CI 0.07-0.62]; good EULAR response: OR 0.39 [95%CI 0.15-0.92]). These associations did not remain statistically significant at the 12 months assessment.Regarding specific anti-TNF therapies, RA patients treated with monoclonal antibody (-mab) TNFis (IFX/ADA/ GOL) were significantly less likely to achieve good EULAR response at 6 months if they were obese RA (n=38), compared to those of normal weight (n=44) (OR 0.17 [95%CI 0.03-0.59]). A similar non-significant difference was demonstrated for DAS28 remission, and 12-month remission. Specifically, obese individuals were significantly less likely to achieve good EULAR response at 6 months with IFX (OR 0.09 [95%CI 0.00-0.61]; n=20), and significantly less likely to achieve DAS28 remission at 6 months when newly-starting ADA (OR 0.14 [95%CI 0.01-0.96]; n=17), compared to those of normal weight. There were no significant differences in remission outcomes between individuals of different BMI taking ETN. A small number of individuals stopped taking their respective biologic after 6months; reason for cessation was not recorded.Similar outcomes were seen in patients already established on anti-TNF therapy, with overweight and obese individuals less likely overall to be in DAS28 remission at all time points.Conclusion:In established RA, obesity is associated with reduced treatment response to -mab TNFi. No association between increased BMI and response to ETA was observed. Using BMI to direct biologic drug choice could prove to be a simple and cost-effective personalised-medicine approach to prescribing.References:[1]Schäfer M, Meißner Y, Kekow J, Berger S, Remstedt S, Manger B, et al. Obesity reduces the real-world effectiveness of cytokine-targeted but not cell-targeted disease-modifying agents in rheumatoid arthritis. Rheumatology. 2019 Nov 20.Disclosure of Interests:Mrinalini Dey: None declared, Sizheng Steven Zhao: None declared, Robert J Moots: None declared, Robert B.M. Landewé Consultant of: AbbVie; AstraZeneca; Bristol-Myers Squibb; Eli Lilly & Co.; Galapagos NV; Novartis; Pfizer; UCB Pharma, Nicola Goodson: None declared

scholarly journals Body mass index and clinical outcomes in patients with intracerebral haemorrhage: results from the China Stroke Center Alliance

2021 ◽  
pp. svn-2020-000534
Author(s):  
Zhentang Cao ◽  
Xinmin Liu ◽  
Zixiao Li ◽  
Hongqiu Gu ◽  
Yingyu Jiang ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Hospital Mortality ◽  
Body Mass ◽  
Intracerebral Haemorrhage ◽  
Final Analysis ◽  
Normal Weight ◽  
Discharge Disposition ◽  
Increased Risk ◽  
Significant Difference ◽  
Stroke Center

Background and aimObesity paradox has aroused increasing concern in recent years. However, impact of obesity on outcomes in intracerebral haemorrhage (ICH) remains unclear. This study aimed to evaluate association of body mass index (BMI) with in-hospital mortality, complications and discharge disposition in ICH.MethodsData were from 85 705 ICH enrolled in the China Stroke Center Alliance study. Patients were divided into four groups: underweight, normal weight, overweight and obese according to Asian-Pacific criteria. The primary outcome was in-hospital mortality. The secondary outcomes included non-routine discharge disposition and in-hospital complications. Discharge to graded II or III hospital, community hospital or rehabilitation facilities was considered non-routine disposition. Multivariable logistic regression analysed association of BMI with outcomes.Results82 789 patients with ICH were included in the final analysis. Underweight (OR=2.057, 95% CI 1.193 to 3.550) patients had higher odds of in-hospital mortality than those with normal weight after adjusting for covariates, but no significant difference was observed for patients who were overweight or obese. No significant association was found between BMI and non-disposition. Underweight was associated with increased odds of several complications, including pneumonia (OR 1.343, 95% CI 1.138 to 1.584), poor swallow function (OR 1.351, 95% CI 1.122 to 1.628) and urinary tract infection (OR 1.532, 95% CI 1.064 to 2.204). Moreover, obese patients had higher odds of haematoma expansion (OR 1.326, 95% CI 1.168 to 1.504), deep vein thrombosis (OR 1.506, 95% CI 1.165 to 1.947) and gastrointestinal bleeding (OR 1.257, 95% CI 1.027 to 1.539).ConclusionsIn patients with ICH, being underweight was associated with increased in-hospital mortality. Being underweight and obese can both increased risk of in-hospital complications compared with having normal weight.

Total gestational weight gain and the risk of preeclampsia by pre-pregnancy body mass index categories: a population-based cohort study from 2013 to 2017

2019 ◽  
Vol 47 (6) ◽  
pp. 585-591 ◽  
Author(s):  
Tanja Premru-Srsen ◽  
Zorana Kocic ◽  
Vesna Fabjan Vodusek ◽  
Ksenija Geršak ◽  
Ivan Verdenik
Keyword(s):  
Body Mass Index ◽  
Weight Gain ◽  
Gestational Weight Gain ◽  
Body Mass ◽  
Odds Ratio ◽  
Protective Factor ◽  
Population Based ◽  
Normal Weight ◽  
Obese Women ◽  
Gestational Weight

Abstract Background Identifying the risk factors for preeclampsia (PE) is essential for the implementation of preventive actions. In the present study, we aimed at exploring the association between total gestational weight gain (GWG) and PE. Methods We performed a population-based cohort survey of 98,820 women with singleton pregnancies who delivered in Slovenia from 2013 to 2017. Aggregated data were obtained from the National Perinatal Information System (NPIS). The main outcome measure was the incidence of PE. The main exposure variable was total GWG standardized for the gestational duration by calculating the z-scores. The associations between total GWG and PE stratified by pre-pregnancy body mass index (BMI) categories adjusted for a variety of covariates were determined using multivariable logistic regression. We calculated the crude odds ratio (OR) and adjusted odds ratio (aOR) with a 95% confidence interval using a two-way test. Results Excessive GWG was associated with increased odds of PE in all pre-pregnancy BMI categories. The increase in the odds of PE by 445% was the highest in underweight women and by 122% was the lowest in obese women. Low GWG was associated with decreased odds of PE in all pre-pregnancy BMI categories except in normal-weight women with a GWG below −2 standard deviation (SD) and underweight women. The decrease in the odds of PE by 67% was the highest in obese women and by 41% was the lowest in normal-weight women. Conclusion Excessive GWG is a significant risk factor for PE, especially in underweight women, while low GWG is an important protective factor against PE, especially in obese women.

scholarly journals Effect of body mass index on response to neo-adjuvant therapy in HER2-positive breast cancer: an exploratory analysis of the NeoALTTO trial

2020 ◽  
Vol 22 (1) ◽  
Author(s):  
Serena Di Cosimo ◽  
Luca Porcu ◽  
Dominique Agbor-tarh ◽  
Saverio Cinieri ◽  
Maria Alice Franzoi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Body Mass Index ◽  
Body Mass ◽  
Odds Ratio ◽  
Complete Response ◽  
Normal Weight ◽  
Future Research ◽  
Clinical Value ◽  
Her2 Positive ◽  
Primary Tumors

Abstract Background Obesity is a risk factor for breast cancer (BC) development, recurrence, and death. In view of this, we aimed to investigate the clinical value of obesity in BC patients treated with anti-HER2 therapies in the NeoALTTO trial, which randomized 455 patients to neo-adjuvant lapatinib, trastuzumab, or their combination plus paclitaxel. Methods Patients were classified according to their basal body mass index (BMI) into underweight (< 18.5 kg/m2), normal (≥ 18.5; < 25 kg/m2), overweight (≥ 25; < 30 kg/m2), and obese (≥ 30 kg/m2) WHO categories. Univariate and multivariate logistic regression analyses were performed using BMI as a categorical variable. Pathological complete response (pCR) and event-free survival (EFS) were the NeoALTTO primary and secondary outcomes, respectively. Results Among 454 patients analyzed, 14 (3%), 220 (48%), 137 (30%), and 83 (18%) were classified as underweight, normal weight, overweight, and obese, respectively; 231 (51%) and 223 (49%) had hormone receptor (HR)-positive and HR-negative primary tumors; 160 (35%) achieved pCR. In the overall patient population, no association was found between BMI groups and pCR, as we reported pCR rates of 57.1%, 35%, 30.7%, and 39.8% in underweight, normal weight, overweight, and obese cases, respectively. In contrast, in HR-positive tumors, overweight or obesity was generally associated with decreased likelihood of achieving a pCR independently of other clinical variables, including planned surgery, nodal status, and tumor size (odds ratio [OR] = 0.55, 95%CI 0.30–1.01, as compared to normal or underweight; p = 0.053); notably, no differential effect of BMI with respect to pCR was observed in HR-negative cases (odds ratio [OR] = 1.30, 95%CI 0.76–2.23, as compared to normal or underweight; p = 0.331), resulting in a statistically significant interaction between BMI and HR status (p = 0.036). There was no association between BMI and EFS neither in the overall nor in the HR-positive population, but this analysis was under-powered. Conclusions NeoALTTO patients overweight or obese at baseline and with HR-positive primary BC appeared less likely to achieve pCR after neo-adjuvant anti-HER2 therapies. This finding paves the way to future research in targeting the interplay between HER2/HR signaling and metabolism.

Leukotriene release by endometrium and myometrium throughout the menstrual cycle in dysmenorrhoea and menorrhagia

1987 ◽  
Vol 113 (2) ◽  
pp. 291-295 ◽  
Author(s):  
M. C. P. Rees ◽  
V. Di Marzo ◽  
J. R. Tippins ◽  
H. R. Morris ◽  
A. C. Turnbull
Keyword(s):  
Menstrual Cycle ◽  
Blood Loss ◽  
Menstrual Blood ◽  
Menstrual Blood Loss ◽  
Short Term ◽  
Free Women ◽  
Loss Range

ABSTRACT Endometrium and myometrium were collected at hysterectomy from 21 women with measured menstrual blood loss. Eight women complained of dysmenorrhoea and the remaining 13 had pain-free periods. Specimens were obtained throughout the menstrual cycle (menstrual, n = 5; follicular, n = 3; early luteal, n = 3; mid-luteal, n = 5; late luteal, n = 4). Leukotriene C4, leukotriene D4 and leukotriene E4 release were examined using a short-term incubation technique. Endometrial leukotriene release, which was always significantly greater than myometrial release, changed throughout the menstrual cycle and the highest concentrations were found during menstruation. Endometrial, but not myometrial, leukotriene concentrations were significantly higher in tissues obtained from women with a complaint of dysmenorrhoea compared with those in tissue from pain-free women. No correlation was found between leukotriene release in either endometrium or myometrium and menstrual blood loss (range 15–457 ml). J. Endocr. (1987) 113, 291–295

scholarly journals Body mass index, sleep quality, stress conditions determine menstrual cycles among female adolescents

2019 ◽  
Vol 8 (1) ◽  
pp. 101
Author(s):  
Rosmauli Jerimia Fitriani ◽  
Ari Probandari ◽  
Budiyanti Wiboworini
Keyword(s):  
Body Mass Index ◽  
At Risk ◽  
Menstrual Cycle ◽  
Sleep Quality ◽  
Body Mass ◽  
Stress Conditions ◽  
Female Adolescents ◽  
Quality Data ◽  
Menstrual Cycles ◽  
Cycle Disorders

Menstrual cycles are an important indicator of women's health. Menstrual cycles can be affected by body mass index (BMI), sleep quality, and stress. This study aimed to analyse the relationship between BMI, sleep quality, stress and the menstrual cycle. The subjects of this research were the female adolescents at the age of at least 15 years old that had experienced menstruation for at least 2 years. The dependent variable is the menstrual cycle while the independent variables are BMI, sleep quality, and stress conditions. Observational analytic research method with Cross sectional design was used in this research. The subjects were 148 female students. The BMI data were obtained through the anthropometric measurement. The sleep quality data were taken with PSQI questionnaire, and the stress condition data obtained from PSS-10 questionnaire which were then analysed using Chi-Square test and Logistic Regression. Results of study showed that there is a significant relationship between BMI, sleep quality, stress conditions and the adolescent menstrual cycle. The results of the multivariate analysis showed that the female adolescents with abnormal BMI are at risk of having menstrual cycle disorders 1.91 times. The adolescents with poor sleep quality are at risk experiencing menstrual cycle disorders 2.05 times, and the adolescents with stress conditions at risk of the menstrual cycle disorders 2.26 times. There is a relationship between BMI, sleep quality, stress conditions and the menstrual cycle. Stress conditions most influence the regularity of the menstrual cycle.

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