Increase In Between Body Mass Index Research Articles

The association between body mass index and vulvar and vaginal cancer incidence: findings from a large Norwegian cohort study.

There is limited evidence of potential associations between body mass index (BMI) and risk of vulvar and vaginal cancer. We explored these associations in a large cohort of Norwegian women. The analytical dataset included 889,441 women aged 16-75years at baseline in 1963-1975. Multivariable Cox regression analyses were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the associations between BMI and vulvar and vaginal cancer incidence. During 30.1 million person-years of follow-up, 1748 incident vulvar and 408 incident vaginal cancer cases occurred. The HRs (95% CIs) for vulvar cancer for a BMI of 15- < 18.5, 18.5- < 25, 25- < 30, 30- < 35, ≥ 35 were 0.62 (0.38-1.01), 1.00 (reference), 1.23 (1.10-1.40), 1.43 (1.23-1.66) and 1.72 (1.35-2.20, ptrend < 0.001), and per 5kg/m2 increment was 1.20 (1.13-1.26). The corresponding HRs (95% CIs) for vaginal cancer were 1.05 (0.52-2.15), 1.00, 0.89 (0.71-1.12), 0.95 (0.68-1.34), and 2.01 (1.29-3.13, ptrend < 0.001), respectively, and per 5kg/m2 was 1.11 (0.99-1.25). The HR (95% CI) per 5kg/m2 increase in BMI at ages 16-29 was 1.28 (1.07-1.54, n = 250 cases) for vulvar and 1.53 (1.11-2.11, n = 66 cases) for vaginal cancers. The HR (95% CI) per 5kg/m2 for early-onset (< 50years age at diagnosis) vulvar cancer was 0.92 (0.66-1.28, n = 87 cases) and 1.70 (1.05-2.76, n = 21 cases) for vaginal cancer. These results further support the associations between higher BMI and increased risk of vulvar and vaginal cancers, with suggestive stronger associations between BMI in early adulthood for both cancers and for early-onset vaginal cancer. Further studies are needed to elucidate these findings and investigate the underlying mechanisms.

Association between body mass index and sex hormones among men: Evidence from cross-sectional and Mendelian randomization studies

PurposeThis study aims to investigate the association between Body Mass Index (BMI) and sex hormone levels utilizing a cross-sectional study design alongside Mendelian randomization (MR) analysis. Materials and methodsA cross-sectional study was performed based on National Health and Nutrition Examination Survey (NHANES) 2013–2016. Additionally, a two-sample MR analysis was performed, utilizing Single Nucleotide Polymorphisms (SNPs) associated with BMI identified in a genome-wide association study (GWAS) comprising 339224 individuals. Data on outcomes, including total testosterone (TT, 199569 samples), estradiol (E2, 17134 samples), and sex hormone binding globulin (SHBG, 185211 samples), were sourced from the United Kingdom Biobank (UKB). ResultsIn cross-sectional analysis involving 4092 males, multivariable linear regression demonstrated that each unit increase in BMI was positively correlated with an elevated risk of testosterone deficiency (TD), increased E2 levels, and a reduced TT, SHBG, free androgen index and TT/E2. Subsequent quartile division of BMI revealed, through multivariable logistic regression, that higher BMI quartiles were associated with a greater TD risk, elevated E2 levels, and reduced TT, SHBG, and TT/E2 levels compared to quartile 1 (P for trend <0.001). In the MR analysis, a causal effect was established, with each unit increase in BMI being associated with decreased TT (β = −0.17; 95 % CI −0.24 to −0.09) and SHBG (β = −0.13; 95 % CI −0.21 to −0.05) levels. ConclusionsOur findings unveil a causal link between BMI and reduced TT and SHBG levels in males.

Obesity is associated with muscle atrophy in rotator cuff tear

ObjectiveThe primary goal of this study is to evaluate the relationship between Body Mass Index (BMI) and muscle atrophy in individuals with rotator cuff tears.MethodsThis study consists of patients with...

Body mass index and all-cause mortality in HUNT and UK biobank studies: revised non-linear Mendelian randomisation analyses

ObjectivesTo estimate the shape of the causal relationship between body mass index (BMI) and mortality risk in a Mendelian randomisation framework.DesignMendelian randomisation analyses of two prospective population-based cohorts.SettingIndividuals of European...

The Relationship Between Sleep Quality, Sleep Duration, Social Jet Lag and Obesity in Adolescents.

The frequency of obesity and poor sleep quality among adolescents is increasing and causes many chronic problems. The objective was to investigate the correlation between body mass index (BMI), sleep quality, sleep duration and social jet lag (SJL) among adolescents. This study is cross-sectional. A cohort of 416 adolescents, ranging in age from 12 to 18 participated in the study. Adolescents were divided into three groups according to BMI SDS: adolescents with normal weight, adolescents with overweight and adolescents with obesity. The Pittsburgh Sleep Quality Index (PSQI) questionnaire was used to determine the sleep quality of the adolescents. The calculation of SJL and sleep-corrected social jet lag (SJLsc) was performed. The mean age of the adolescents was 15.0 ± 2.9 years.There were 222 males (53.4%). SJL and PSQI scores were significantly higher in the adolescents with obesity compared to the adolescents with normal weight and overweight (p < 0.001). An analysis of the relationship between the PSQI and BMI SDS revealed a correlation that was statistically significant (r = 0.667; p < 0.001). Adolescents with obesity reveal poorer sleep quality and a longer duration of SJL compared to adolescents with normal-weight. Moreover, increased SJL was linked to an increase in BMI. Maintaining good sleep quality and less exposure to SJL may help reduce the risk of obesity.

Body mass index and meniscal tears: Evidence from meta-analysis of observational studies and Mendelian randomization.

Obesity is a potential risk factor for meniscal tear (MT). We utilized meta-analysis of observational studies and Mendelian randomization (MR) analyses to elucidate the association between body mass index (BMI) and MT. In meta-analysis, a search was performed on June 27, 2022, using PubMed and Embase databases. Odds ratios and 95% confidence intervals were extracted from included studies. In MR analyses, the research utilized summary-level data on BMI and MT obtained from Genetic Investigation of Anthropometric Traits and the FinnGen Consortium, respectively. In meta-analysis, four studies comprising 826,383 participants were included. The pooled odds ratio of MT in the high BMI group was 1.32 (95% confidence interval, 0.83-2.09), compared with the nonhigh BMI group. The pooled odds ratio in the under 30 group was 1.76 (95% confidence interval, 0.61-5.03). In MR analyses, one standard deviation increase in genetically predicted BMI was associated with meniscus derangement as a chronic subtype of MT (odds ratio, 1.36; 95% confidential interval, 1.17-1.59). We found that a high BMI was not associated with an increased likelihood of MT based on meta-analysis of observational studies; however, by complementing MR analyses, we elucidated the causality of BMI increase on meniscus derangement as a chronic subtype of MT.

Obesity Portends Increasing Rates of Superficial Surgical Site Infection Following Pediatric Reduction Mammoplasty: A National Surgical Database Analysis.

Pediatric reduction mammoplasty has become increasingly common due to the obesity epidemic. While obesity remains the leading cause of macromastia leading to surgery, it may also be a risk factor for postoperative complications. This study examines the safety of pediatric reduction mammoplasty and the risk of obesity for complications following this procedure. The American College of Surgeons National Surgical Quality Improvement Program Pediatrics was queried to obtain all reduction mammoplasty cases from 2012 to 2020. Univariate and multivariate logistic regression analyses controlling for confounders were carried out to assess the relationship between body mass index (BMI) and rates of complication. One thousand five hundred eighty-nine patients with the primary Current Procedural Terminology code 19318 were included in the final analysis. The mean age was 16.6 (SD, 1.1) years, and the mean BMI was 30.5 (SD, 6.2) lb/in2. Notably, 49% of the patients were obese, and 31% were overweight, while only 0.4% were underweight. Forty-three patients (2.7%) sustained a superficial surgical site infection (SSI) postoperatively. Other complications were less prevalent, including deep SSI (4 patients, 0.3%), dehiscence (11, 0.7%), reoperation (21, 1%), and readmission (26, 1.6%).Independent variables analyzed included age, sex, BMI, diabetes mellitus, American Society of Anesthesiologists (ASA) class, and operative time, of which only BMI and ASA class were found to be significantly associated with SSI on univariate analysis. On multivariate logistic regression while controlling for ASA class and the false discovery rate, there was a strong association between increasing rates of superficial SSI and increasing BMI (unit odds ratio, 1.05; 95% confidence interval, [1.01, 1.09]; P = 0.02). The OR indicates that for each 1-unit increase in BMI, the odds of SSI increase by 5%. Complications following pediatric reduction mammoplasty are uncommon, demonstrating the safety of this procedure. High BMI was found to have a significantly higher risk for superficial SSI. Increased caution and infection prophylaxis should be taken when performing this operation on obese patients.

Inverse L-Shaped Association Between Body Mass Index and Myopia in Chinese Schoolchildren: A Pilot Study.

The prevalence of obesity and myopia in young people is increasing worldwide; however, the association between body mass index (BMI) and myopia remains controversial. This study aimed to assess the association between BMI and myopia in Chinese schoolchildren. In this study, the open data for analysis were obtained from DATADRYAD website (www.datadryad.org). A total of 3658 children were enrolled in this study. Logistic regression model was used to analyze the relationship between BMI and myopia. Compared with individuals with lower BMI Q1 (less than 25 kg/m2), the adjusted odds ratios (ORs) for BMI and myopia were 2.15 (95% confidence interval [CI]: 1.62-2.86) in Q2 (25.0-29.9 kg/m2) and 2.39 (95% CI: 1.37-4.18) in Q3 (30.0 kg/m2 or more). Moreover, the association between BMI and myopia exhibited an inverted L-shaped curve (nonlinear; p < 0.001). When the BMI was <25 kg/m2, an increased BMI was significantly associated with a higher risk of myopia (OR = 1.244 [95% CI: 1.211-1.277], p < 0.001). However, when the BMI was ≥25 kg/m2, the association lost its significance (OR = 1.063 [95% Cl: 0.964-1.171], p = 0.219). This study found an inverted L-shaped association between BMI and myopia in Chinese schoolchildren. A higher BMI was associated with a higher risk of myopia reaching 25 kg/m2, after which an increase in BMI was no longer associated with an increased risk of myopia.

Association between BMI and health-related physical fitness in adolescents with hearing impairment in China: a cross-sectional study.

This cross-sectional study aimed to address a critical gap in the understanding of the association between body mass index (BMI) and physical fitness levels in adolescents with hearing impairment (HI) in China. This study investigated how different BMI levels impact the physical fitness index (PFI) of HI adolescents. This study employed a physical fitness test for HI adolescents attending special education schools. The test included eight components: height, weight, 50-m sprint, standing long jump, sit and reach, endurance run, bent-knee sit-up (for girls), and pull-up (for boys). Test scores for each student were standardized by age and gender. Individual Z-scores were then calculated, and the sum of these Z-scores constituted the PFI. Logistic regression was used to analyze the relationship between BMI and PFI across different gender and age groups. Statistical significance was set at P < 0.05. The linear regression model showed an inverted U-shaped relationship between BMI and PFI. At the same BMI level, boys exhibited superior physical fitness compared to girls with the same BMI (P < 0.05). Statistically significant differences in PFI levels were observed between normal-weight and obese males, as well as between underweight and obese boys (P < 0.05). In the 13-15 and 16-18 age groups, the increase in BMI has a greater impact on boys PFI than on girls. Adolescents with HI generally demonstrated good physical fitness. Compared to individuals with normal weight, those who were underweight, overweight, or obese exhibited lower levels of physical fitness. Future interventions should focus on adolescents with HI with abnormal BMI.

Nonlinear relationship between body mass index and serum uric acid: An observational and Mendelian randomization study among Chinese adults

Background and aimsConflicting evidence exists on the relationship between body mass index (BMI) and serum uric acid (SUA), and importantly, the causal role of BMI in SUA remains unclear. We aimed to evaluate the BMI-SUA relationship and its causality among Chinese adults using observational and Mendelian randomization (MR) analyses. Methods and resultsStudy included 6641 adults from East China. A genetic risk score based on 14 BMI-associated East Asian variants was formulated. One-sample MR and non-linear MR analyses assessed the causal link between BMI_GRS and SUA levels. Mean BMI levels were 24.8 (SD 3.4) and 24.3 (SD 3.6) kg/m2 in men and women, respectively. Spline models revealed gender-specific BMI-SUA associations: a reverse J-shape for men and a J-shape for women (P-values for nonlinearity <0.05). In men, BMI showed a positive correlation with SUA levels when BMI was below 29.6 kg/m2 (beta coefficient 19.1 [95 % CI 15.1, 23.0] μmol/L per 1-SD increase in BMI), while in women, BMI exhibited a negative correlation with SUA levels when the BMI was less than 21.7 kg/m2 (beta coefficient −12.9 [95 % CI -21.6, −4.1] μmol/L) and a positive correlation when BMI exceeded 21.7 kg/m2 (beta coefficient 13.3 [95 % CI 10.9, 15.8] μmol/L). Furthermore, MR analysis suggested non-linear BMI-SUA link in women but not men. ConclusionOur study indicates a non-linear correlation between BMI and SUA in both genders. It is noteworthy that in women, this correlation may have a causal nature. Nevertheless, further longitudinal investigations are required to authenticate our findings.

Association between body mass index and myopia in the United States population in the National Health and Nutrition Examination Surveys 1999 to 2008: a cross-sectional study

BackgroundThis study investigated the association between body mass index (BMI) and myopia in the United States.MethodsThis cross-sectional study included 8,000 participants from the 1999 to 2008 National Health and Nutrition Examination Survey (NHANES). BMI was classified into four groups: < 18.5, 18.5 – 24.9, 25–29.9, and > 29.9. Three diagnostic thresholds were used for myopia A\\B\\C: spherical equivalent ≤ −0.5\\−0.75\\−1 diopters in the right eye. Multivariate logistic regression analysis and smooth curve fitting were performed to evaluate the association between BMI and myopia.ResultsThe incidence of myopia was 39.4%. BMI was correlated with myopia, with each 1 kg/m2 increase in BMI associated with a 1% increase in the risk of myopia (OR, 1.01; 95% CI 1.01 1.02; p < 0.05). In myopia B, after adjusting for confounding factors, compared with the reference group (BMI 18.5–24.9), participants with a BMI of 25–29.9 and greater than 29.9 had a 14% and 25% increased risk of myopia, respectively (OR 1.14; 95% CI 1.01 1.29; p = 0.037, OR 1.25; 95% CI 1.08 1.44; p = 0.003), which was similar to the results for myopic A (OR, 1.15; 95% CI 1.02 1.3; p = 0.027, OR 1.19; 95% CI 1.03 1.37; p = 0.018) and myopia C (OR 1.15; 95% CI 1.01 1.31; p = 0.035, OR 1.18; 95% CI 1.01 1.37; p = 0.032). Moreover, there was a linear relationship between myopia and BMI (p for nonlinearity = 0.767).ConclusionsMyopia using all three diagnostic thresholds was positively associated with higher BMI. This suggests a potential association between myopia and higher BMI in the American population, warranting further investigations.

The association between body mass index and mortality in septic older adults

BackgroundThere is limited evidence on the association between body mass index (BMI) and outcomes in older adults with sepsis. ObjectivesThe purpose of this study was to explore the relationship between BMI and the clinical outcome in the older adults with sepsis. MethodsAll older adults (age 65 or older) with sepsis were analyzed retrospectively in the Intensive Care Medical Information Mart (MIMIC)- IV database. The primary outcome was 30-day mortality. The relationship between BMI and 30-day mortality was estimated by multivariate logistic regression model. The interaction and stratified analysis were performed by sex, race, renal disease, congestive heart failure (CHF), diabetes, and chronic pulmonary disease. ResultsThe total number of participants was 6604. After adjustment for potential covariates, there was a significant correlation between BMI and 30-day mortality. A 1 kg/m2 increase in BMI was associated with a 3 % decrease in 30-day mortality (adjusted HR = 0.97, 95 % CI: 0.96–0.98, P < 0.001). The correlation between BMI and 30-day mortality showed a statistically significant nonlinear association with an l-shaped curve (p = 0.001). Significant interactions were observed only for sex in the stratified analyses (P = 0.001). ConclusionsIn this study, it was observed that a higher BMI is linked with better survival rates among older adults suffering from sepsis, while being underweight raises the risk of mortality. Notably, male patients with a higher BMI had a lower mortality risk compared to female patients.

Longitudinal associations between body mass index and changes in disease activity and radiographic progression in rheumatoid arthritis patients treated with infliximab

ObjectivesTreatment response is worse in obese patients with rheumatoid arthritis (RA), including patients on weight-adjusted therapies like infliximab. We aimed to assess the association between body mass index (BMI) and...

Effect of CVAI on the incidence of MASLD compared to BMI in populations with different body types: A prospective cohort study in China

Background and aimsTo explore the relationship between body mass index (BMI), chinese visceral adiposity index (CVAI) and the risk of metabolic dysfunction-associated steatotic liver disease (MASLD) in populations with different body types defined by BMI. Methods and results24 191 participants from the Jinchang cohort were involved in the prospective cohort study with a 2.3-year follow-up. Information from epidemiological investigations, comprehensive health examinations and biochemical examinations was collected. MASLD was assessed by abdominal ultrasonography. BMI and CVAI were calculated using recognized formulas. Cox regressions, Restricted cubic spline (RCS) and Receiver operating characteristic (ROC) analysis were performed. The risk of MASLD increased with the increase in BMI and CVAI (Ptrend <0.001), and there was a nonlinear dose-response relationship. In the total population, BMI and CVAI increased the risk of MASLD with adjusted HR (95%CI) of 1.097 (1.091–1.104) and 1.024 (1.023–1.026), respectively. The results were similar in the lean and overweight/obese groups. There was also a nonlinear relationship between CVAI and MASLD (Pnon-linearity<0.001), no matter in which group. The area under the curve of CVAI was significantly higher than that of BMI in females with different body types, and the areas in the whole females were 0.802 (95%CI: 0.787–0.818) and 0.764 (95%CI: 0.747–0.780), respectively. There was no significant difference in the ability of BMI and CVAI to predict MASLD in all-sex and males, either in lean or overweight/obese groups. ConclusionsCVAI and BMI were independently associated with the risk of MASLD regardless of body types defined by BMI, and CVAI showed better diagnostic ability for MASLD in females.

Body Mass Index Affects Delayed Chemotherapy-induced Vomiting in Pediatric Malignancy Patients.

Delayed chemotherapy-induced vomiting (DCIV) is a problem for children undergoing chemotherapy for malignant tumors. The aim of this study was to investigate the association between body mass index (BMI) and DCIV in children. Clinical data were collected from patients with malignancies who underwent chemotherapy at our center. Independent risk factors for DCIV derived by logistic regression. The Youden Index, which calculates BMI, divides patients into a high-risk group and a low-risk group, and the difference in DCIV between the two groups was analyzed. The relationship between BMI and DCIV was assessed by calculating the frequency of vomiting episodes and the severity of vomiting. A total of 283 patients were included in this cohort study. BMI (odds ratio [OR]: 0.811; 95% CI: 0.699-0.941), age (OR: 1.014; 95% CI: 1.006-1.021), and emetogenic grade (OR: 2.858, 95% CI: 1.749-4.671) were independent risk factors for the development of DCIV in children. Patients in the high-risk group experienced vomiting more frequently and with greater severity than those in the low-risk group ( P < 0.05). BMI in children with malignancy is associated with DCIV, and the incidence of DCIV decreases as BMI increases. Physicians may be able to arrange a more elaborate antiemetic prevention regimen based on the patient's BMI.

Relationship between body mass index and mortality of burns patients: A systematic review and meta-analysis.

This systematic review and meta-analysis aimed to evaluate the relationship between body mass index (BMI) and mortality of burn patients. A comprehensive, systematic search was conducted in different international electronic databases, such as Scopus, PubMed, Web of Science and Persian electronic databases such as Iranmedex, and Scientific Information Database (SID) using keywords extracted from Medical Subject Headings such as "Body mass index", "Burns" and "Mortality" from the earliest to the April 1, 2023. The quality of the studies included in this systematic review was evaluated using the appraisal tool for cross-sectional studies (AXIS tool). Finally, six articles were included in this systematic review and meta-analysis. A total of 16 154 burn patients participated in six studies. Their mean age was 46.32 (SD = 1.99). Of the participants, 71.7% were males. The mean length of hospitalization was 18.80 (SD = 8.08) days, and the average TBSA in burn patients was 38.32 (SD = 2.79) %. Also, the average BMI in burn patients was 27.10 (SD = 1.75). Results found mortality in patients with abnormal BMI (overweight to morbidity BMI) was 0.19 more than normal BMI (ES: 1.19, 95%CI: 0.76-1.87, Z = 0.75, I2 : 71.8%, p = 0.45). Results of linear dose-response showed each 5 kg/m2 increase in BMI was associated with a 5% increase in mortality that was marginally significant (ES: 1.05, 95%CI: 1.00-1.11, Z = 1.99, I2 : 22.2%, p = 0.047). There was a non-linear relationship between levels of BMI and mortality (Prob > χ2 = 0.02). There was an increase in mortality from percentile 10 to 50, although it was not significant (Correlational coefficient: 0.01, p = 0.85). Also, there was an increase in mortality rate from percentile 50 to 90 that was statistically significant (correlational coefficient: 0.06, p = 0.047). Finally, the results of the study indicated BMI can increase the chance of mortality by 0.19, although it was not significant. As a result, more studies are needed to better judge the relationship between BMI and mortality in burn victims.

Relationship between body weight and indicators of physical and emotional status in 12-13-year-old girls

This article is focused on assessing the influence of body weight on the indicators of physical and emotional status of 12-13-year-old girls. The aim of the study was to examine the relationship between body weight and indicators of physical and emotional status in 12-13-year-old girls. The study involved 108 girls aged 12 and 30 girls aged 13. The following methods were used: analysis of scientific and methodological literature, anthropometric, pedagogical, physiological methods, and methods of mathematical statistics. Results. The study revealed statistically significant (p &lt; 0.05) correlations between body mass index (BMI) and indicators of physical development, functional status, physical fitness, physical activity, and value orientations of 12-13-year-old girls, as well as factors negatively influencing their attitude towards physical education classes. The study also identified a direct statistically significant relationship between BMI and the value orientations in the subjects. An increase in BMI was associated with the reinforcement of terminal values such as independence and love, as well as instrumental values like cheerfulness. The research revealed that normal body weight has a positive impact on the development of physical abilities of 12-13-year-old girls, specifically agility and trunk flexor muscular strength and endurance. According to the obtained data, the number of correlations between BMI and other studied indicators of physical and emotional status, physical activity, and value orientations increased with age. While 12- year-old girls had 12 such correlations, 13-year-old girls had 15. Conclusions: The abovementioned necessitates the consideration of these findings in the justification and development of exercise programs based on the use of health fitness means for girls with insufficient body weight.

Body mass index variation in adults with Williams syndrome: associations with predicted dietary intake and food behaviors.

Dietary intake and body weight are important predictors of long-term health. However, few studies have focused on these topics in adults with genetic syndromes that have associated intellectual disability, such as Williams syndrome (WS). In adults with WS, describe predicted dietary intake, food-related problems, and associations between body mass index (BMI) and possible factors contributing to differences in weight status. In this study of 82 participants (median age of 30 years, range 18-69), we cross sectionally investigated associations between BMI, predicted dietary intakes (Dietary Screener Questionnaire), food-related behaviors (Food-Related Problem Questionnaire), and anxiety (Spence Children's Anxiety Scale). Longitudinal patterns of weight change were further studied in a subset (n = 41). BMI variation was observed with median BMI of 27.3 kg/m2 (range 16.7-55.5 kg/m2). Several components of dietary intake deviated from recommendations in the WS cohort. When compared with WS participants with either normal or overweight BMI, WS participants with obesity had reduced daily intake of fruits and vegetables of 0.15 cup equivalents (P = 0.049), while participants with underweight BMI had reduced daily intake of fruits and vegetables of 0.44 cup equivalents (P = 0.026) and additionally had reduced intake of dietary fiber of 2.12 grams per day (P = 0.019). A one-point increase in the 'preoccupation with food' sub-score was associated with a 0.57 unit increase in BMI (P = 0.16), while a one-point increase in the 'takes and stores food' sub-score was associated with a 0.72 unit increase in BMI. In the longitudinal weight subset, a weight gain group and a weight stable group were identified. The former was associated with increased 'takes and stores food' sub-score but not with dietary intakes. We observed considerable BMI variability. While few dietary intakes were associated with BMI, increased BMI and weight gain were associated with 'preoccupation with food' and with 'takes and stores food' behavior sub-scores.

Accounting for antihypertensive medication in Mendelian randomization studies of blood pressure: methodological considerations in the Canadian Longitudinal Study on Aging.

Mendelian randomization (MR) studies investigating determinants of blood pressure (BP) do not account for antihypertensive medication consistently, which may explain discrepancies across studies. We performed an MR study of the association between body mass index (BMI) and systolic BP (SBP) using five methods to account for antihypertensive medication and evaluated their impact on the estimation of the causal effect and on the assessment of the invalidity of the instruments used in MR. Baseline and follow-up data on 20 430 participants from the Canadian Longitudinal Study on Aging (CLSA) Comprehensive cohort (2011-2018) were used. The five methods to account for antihypertensive medication in the MR study were: no correction, adjustment for antihypertensive medication as a covariate in models, exclusion of treated individuals, addition of a constant value of 15 mmHg to measured values of SBP in treated individuals, and using hypertension as a binary outcome. The magnitude of the estimated MR causal effect for SBP (mmHg) varied across the methods of accounting for antihypertensive medication effects ranging from 0.68 (effect per 1 kg/m 2 increase in BMI) in scenario adjusting MR models for medication covariate to 1.35 in that adding 15 mmHg to measured SBP in treated individuals. Conversely, the assessment of the validity of the instruments did not differ across methods of accounting for antihypertensive medication. Methods to account for antihypertensive medication in MR studies may affect the estimation of the causal effects and must be selected with caution.

Hypertension and Ovarian Cancer: A Case-Control Study in Saudi Arabia.

Background There is limited evidence that evaluates the association between hypertension and ovarian cancer. The study aimstoinvestigate the association between ovarian cancer and hypertension, thedifference in lipid profile, and the association between body mass index (BMI) and ovarian cancer. Methods We conducted a case-control study at King Abdelaziz Medical City (KAMC), oncology department. All Saudi female patients who were diagnosed with primary ovarian cancer admitted to the oncology department at KAMC from 2016 to 2019 were selected. The data were collected from medical records of patients of the KAMC by chart review using The Ministry of National Guard Health Affairs BESTCare database. Results A total of 137 Saudi female patients diagnosed with ovarian cancer attending to gynecology and oncology center in KAMC from 2016 to 2019 were included in this study. The mean age of participants was 57 in cases and 56 in controls with a mean BMI of 29.64 in cases and 31 in controls. There were 63 obese cases, therefore, the proportion of obesity was 46%. Approximately one-third of cases were overweight (28%) while one-fourth (26%) of them were underweight or normal weight. Roughly two-thirds of cases were hypertensive with an overall proportion of 66 % (95% confidence interval (CI) 58-74) while one-third of controls were hypertensive with an overall proportion of 32%.Cases were having significantly higher triglycerides (p=0.03) and lower high-density lipoprotein (HDL) (p=0.001) than controls.The significant variables were analyzed using logistic regression. It was found that hypertensive subjects were 10.06 times more likely (95% CI: 4.88-20.71) to be associated with the cases as compared to controls (p<0.001). Also, an increase in BMI was significantly associated with being a case with OR = 1.07 (95% CI: 1.02-1.12; p=0.004). Conclusion In conclusion, hypertension, elevated BMI, higher triglycerides, and lower HDL were significantly associated with ovarian cancer.