Male Body Mass Index Research Articles

Relationships among Dioxin-like Mitochondria Inhibitor Substances (MIS)-Mediated Mitochondria Dysfunction, Obesity, and Lung Function in a Korean Cohort.

Mitochondrial dysfunction is closely linked to obesity and diabetes, with declining lung function in aging increasing diabetes risk, potentially due to elevated serum levels of dioxin-like mitochondria inhibitor substances (MIS) from prolonged exposure to environmental pollutants. However, the mechanisms connecting MIS, mitochondria, lung function, and metabolic disorder remain unclear. In this study, we analyzed data from 1371 adults aged 40-69 years in the 2008 Korean Genome Epidemiologic Study (KoGES) Ansung cohort. We indirectly estimated dioxin-like MIS levels by measuring intracellular ATP (MISATP) and reactive oxygen species (MISROS) in cultured cells treated with the serum of participants. Using correlation analysis and structural equation modeling (SEM), we explored the relationships among MIS, mitochondrial function, body mass index (BMI), and lung function (FEV1 and FVC). Our findings revealed that MISATP was associated with BMI in females and with FVC in males, while MISROS correlated with both BMI and FVC in males, not in females. Significant associations between BMI and FVC were found in the highest MIS subgroup in both sexes. SEM analyses demonstrated that MIS negatively influenced mitochondrial function, which in turn affected BMI and lung function. Age-related declines in lung function were also linked to mitochondrial dysfunction. This study underscores the potential of MIS assays as alternatives for assessing mitochondrial function and highlights the importance of mitochondrial health in metabolic disorders and lung function.

The association of obesity and hyperuricemia with ambulatory blood pressure in children.

Primary hypertension (HTN) in children is on the rise and linked to the childhood obesity epidemic. Recent studies support the role of hyperuricemia in the pathogenesis of HTN. With this study we intend to evaluate the effect of body mass index (BMI) and uric acid levels on daily blood pressure (BP) parameters/phenotypes and target organ damage (TOD). A mean ambulatory systolic and/or diastolic BP ≥ 95th percentile or above the adolescent cut points was defined as 'HTN'. Patients were grouped as group 1 normal weight, and group 2 overweight/obese. Of the 140 children (89 male/51 female) with a mean age of 13.9 ± 2.6years, 21 were overweight and 86 were obese. Mean 24-h systolic BP (SBP) and daytime SBP were higher in group 2 (p = 0.015, p = 0.011). BMI was positively correlated with 24-h SBP (r = 0.272, p = 0.001) and daytime SBP (r = 0.280, p = 0.001). Uric acid level showed a moderate correlation with daytime SBP (r = 0.311, p < 0.01). Logistical regression analysis showed that daytime SBP is independently associated with obesity (OR 7.44, 95%CI 2.7-20.6, p < 0.001) and male sex (OR 4.60, 95%CI 2.0-10.2, p < 0.001), but not uric acid. Left ventricular hypertrophy was more common in non-dippers (p = 0.044). Male sex and BMI are independently associated risk factors for systolic BP. The association between non-dipping pattern and TOD suggests the widespread use of ambulatory blood pressure monitoring (ABPM) in childhood HT. In this paper, we could not demonstrate an independent association between uric acid and SBP. The effect of uric acid on SBP seems to be regulated by other metabolic factors in addition to uric acid.

The prevalence of abnormal semen parameters in male partners of women with anovulatory polycystic ovarian syndrome: a retrospective case-control study.

Polycystic ovary syndrome (PCOS) is the leading cause of anovulatory infertility, often requiring ovarian stimulation in affected women attempting to conceive. Male partner semen quality and shared lifestyle factors can significantly impact reproductive outcomes. However, current international guidelines lack evidence-based recommendations on the necessity and timing of semen analysis for the fertility management of anovulatory PCOS women. In a retrospective case-control study, semen analysis results of male partners of 187 anovulatory PCOS women scheduled for ovarian stimulation were analyzed and compared to a control group of 76 male partners of women with bilateral tubal occlusion. The prevalence of semen analysis results with at least one parameter classified as "borderline" and "pathological" among male partners of women with PCOS eligible to undergo ovarian stimulation was 51.3% and 22.5%, compared to 44.7% and 13.2% in the control group, respectively (p = 0.027). In the PCOS group, male body mass index (odds ratio, OR 1.478, p < 0.001), and smoking status (OR 6.228, p < 0.001) were significant predictors of pathological sperm test results, while no association was observed with any female characteristics (p > 0.05). The high frequency of pathological sperm analysis results provides lacking epidemiological data on semen quality in this population, emphasizing the critical need for early male fertility evaluation prior to ovarian stimulation in PCOS women. Moreover, our findings indicate that the risk prediction for abnormal semen quality cannot be based on the female's data.

A growth curve model to estimate longitudinal effects of parental BMI on Indonesian children's growth patterns.

The global surge in childhood obesity is also evident in Indonesia. Parental body mass index (BMI) values were found to be one of the major determinants of the increasing prevalence of childhood obesity. It is uncertain if parental BMI during their offspring's childhood significantly affects their children's BMI trajectories into adulthood. We aimed to investigate the influence of parental BMI Z-scores on BMI trajectories of Indonesian school-aged children, with a focus on sex-specific effects. This study utilized data from the Indonesian Family Life Survey and tracked the same respondents over four time points, from wave 2 (1997-1998) to wave 5 (2014-2015). The sample of this study consisted of children aged 5-12 years in wave 2 for whom height and weight data were available. We utilized a two-level growth curve model to account for the hierarchical structure of the data, with time nested within individual children. Fathers' BMI Z-scores in wave 2 had a pronounced influence (β = 0.31) on female children's BMI Z-scores compared to the influence of mothers' BMI Z-scores (β = 0.17). Mothers' BMI Z-scores in wave 2 showed a stronger positive association with male children's BMI Z-scores (β = 0.22) than did the father's BMI Z-scores (β = 0.19). A significant interaction of fathers' BMI Z-scores and years of follow-up was found for male children. As male children's BMI Z-scores increased by year, this effect was stronger in those whose fathers' BMI Z-scores were at a higher level. In conclusion, we found that parental BMI values profoundly influenced their children's BMI trajectories.

Sex-Dependent Effects of Cardiometabolic Health and APOE4 on Brain Age: A Longitudinal Cohort Study.

The aging population is growing faster than all other demographic strata. With older age comes a greater risk of health conditions such as obesity and high blood pressure (BP). These cardiometabolic risk factors (CMRs) exhibit prominent sex differences in midlife and aging, yet their influence on brain health in females vs males is largely unexplored. In this study, we investigated sex differences in relationships between BP, body mass index (BMI), and brain age over time and tested for interactions with APOE ε4 genotype (APOE4), a known genetic risk factor of Alzheimer disease. The sample included participants from 2 United Kingdom-based longitudinal birth cohorts, the Lothian Birth Cohort (1936) and Insight 46 (1946). Participants with MRI data from at least 1 time point were included to evaluate sex differences in associations between CMRs and brain age. The open-access software package brainageR 2.1 was used to estimate brain age for each participant. Linear mixed-effects models were used to assess the relationships between brain age, BMI, BP, and APOE4 status (i.e., carrier vs noncarrier) in males and females over time. The combined sample comprised 1,120 participants (48% female) with a mean age (SD) of 73 (0.72) years in the Lothian Birth Cohort and 71 (0.68) years in Insight 46 at the time point 1 assessment. Approximately 30% of participants were APOE4 carriers. Higher systolic and diastolic BP was significantly associated with older brain age in females only (β = 0.43-0.56, p < 0.05). Among males, higher BMI was associated with older brain age across time points and APOE4 groups (β = 0.72-0.77, p < 0.05). In females, higher BMI was linked to older brain age among APOE4 noncarriers (β = 0.68-0.99, p < 0.05), whereas higher BMI was linked to younger brain age among carriers, particularly at the last time point (β = -1.75, p < 0.05). This study indicates sex-dependent and time-dependent relationships between CMRs, APOE4 status, and brain age. Our findings highlight the necessity of sex-stratified analyses to elucidate the role of CMRs in individual aging trajectories, providing a basis for developing personalized preventive interventions.

The Impact of Adversity on Body Mass Index as Veterans Transition to Civilian Life

ABSTRACT Introduction The impact of adverse childhood experiences (ACEs), warfare exposure, and mental health symptoms upon changes in body mass index (BMI) were examined in a large U.S. post-9/11 veteran sample to assess gender-specific changes in BMI within the first 2½ years after military service. Materials and Methods Data were collected with institutional approval in 6 waves between 2016 and 2019 from veterans who (1) separated from active duty component service branches (i.e., Army, Navy, Air Force, and Marine Corps) or National Guard or Reserve or (2) deactivated from active duty status after serving in a National Guard or Reserve component. Veterans self-reported height and weight at separation/deactivation at wave 2, and weight was asked at each subsequent wave. Multilevel growth model analyses estimated the relationship between ACEs, warfare exposure, and mental health symptoms and BMI for males and females. Weighted wave 5 analyses were conducted to ensure the sample was calibrated for nonresponse based on wave 1 and the full sample (n = 48,965) for each cross-classification of the weighting variables of gender, rank, and branch. Results Approximately one-third of the veterans reported a normal BMI at separation/deactivation in comparison to being overweight (51%) or obese (20%). Twenty-six percent of male veterans had a normal BMI in contrast to almost half of the female veterans. Male veterans who experienced 3-7 ACEs had a higher BMI (0.74) compared to male veterans without any ACEs, where a BMI increase of 0.08 per year was reported. Female veterans who experienced 1-2 ACEs had a higher BMI (0.89) compared to female veterans without ACEs. Male veterans who engaged in warfare (e.g., combat patrols and firing a weapon at enemy combatants) and experienced corollaries (i.e., consequences of combat) or who experienced corollaries alone (e.g., saw refugees who lost their homes/belongings) had higher BMIs (1.14 and 0.82, respectively) compared to male veterans without warfare exposure. Female veterans who experienced corollaries had a higher BMI (0.94) compared to female veterans with no warfare exposure. Female veterans who experienced warfare (i.e., corollaries and combat) had a higher BMI (0.71) compared to female veterans with no warfare exposure. Male veterans who screened positive for likely post-traumatic stress disorder (PTSD) or depressive symptoms had a higher BMI (1.01 and 0.52, respectively) compared to male veterans who did not screen positive. Male veterans who screened positive for likely PTSD increased their BMI by 0.10 per year. Male veterans who screened positive for both likely PTSD and depressive symptoms had a higher BMI (1.32) compared to male veterans who did not screen positive, and they increased their BMI by 0.21 per year. Female veterans who screened positive for likely PTSD and depressive symptoms had a higher BMI (0.78) and increased their BMI by 0.25 per year compared to female veterans who did not screen positive. Conclusions Boosting veterans’ and service members’ mental and emotional healing from childhood and warfare adversities through sound health promotion policies and increased access to evidence-informed interventions is imperative for optimal body weight and physical health.

Asthma and Obstructive Sleep Apnea Overlap in a Sample of Older American Indian Adults: The Strong Heart Study.

Study Objectives: Our study aimed to investigate the association between asthma and obstructive sleep apnea (OSA) in American Indian communities, a historically underrepresented population in clinical research with a high prevalence of asthma and OSA risk factors like smoking and obesity. Methods: This cross-sectional study used data retrieved from the Strong Heart Study cohort. Participants who attended both the Asthma Sub-study and the Sleep Heart Health Study around the same time were compared for active asthma diagnosis, OSA diagnosis, and potential risk factors for asthma and OSA. The association between asthma and OSA was then evaluated. Results: Among the 2480 participants who attended the Strong Heart Study Phase III exam, 123 participated in both the Asthma Sub-study and the Sleep Heart Health Study. Of these, 13 were diagnosed with OSA, with 4 having moderate to severe OSA. There was no statistically significant difference in OSA prevalence between the active asthma group and the non-active asthma group (former asthma or no asthma) (9.6% vs. 12.5%, p = 0.63). Additionally, body mass index did not differ significantly between participants with both active asthma and OSA and those without active asthma, OSA, or both. OSA diagnosis was significantly associated with male sex (Odds Ratio [OR] 9.2 [1.85-45.87], p = 0.007) and body mass index (OR 1.1 [1.02-1.26], p = 0.016) but not with age or a diagnosis of active asthma. Conclusions: In this American Indian cohort, no significant difference in OSA prevalence was observed between participants with and without active asthma, contradicting previous studies. Further research is needed to explore the underlying reasons for this discrepancy.

Prevalence, Incidence, and Risk Factors of Nephropathy in Patients with Prediabetes: Family History of Diabetes Mellitus Is Not Associated with Increased Risk of Nephropathy

Background: Nephropathy, a vascular complication of hyperglycemia in patients with diabetes mellitus (DM) and prediabetes, is the leading cause of chronic kidney disease. Objectives: This study aimed to investigate the incidence and prevalence of nephropathy and its risk factors in patients with prediabetes, with a particular focus on exploring the association between a family history (FH) of DM and nephropathy. Methods: In this retrospective study, we examined the medical records of 819 patients with prediabetes referred to the Isfahan Endocrine and Metabolism Research Center in 2004. We compared the prevalence of nephropathy in 2019 to baseline levels and assessed factors such as FH of DM in first-degree relatives and other nephropathy-related factors among patients with and without nephropathy. Results: The prevalence of nephropathy increased from 39% to 60.6% over 15 years, with a cumulative incidence of 21.6% and a mean annual incidence of 2.4%. There were differences in diastolic and systolic blood pressure, lipid markers, fasting and postprandial glucose levels, and glomerular filtration rate between patients with and without nephropathy; however, these differences were not statistically significant (P-value ≥ 0.05). Male sex (Odds ratio [OR]: 1.8), age (OR: 1.02), and Body Mass Index (BMI) (OR: 1.05) were significantly associated with nephropathy (P-value &lt; 0.05). No significant association was found between a positive FH of DM and nephropathy (P-value = 0.638). Conclusions: Our findings indicate that a FH of DM is not associated with an increased risk of nephropathy in patients with prediabetes. Instead, sex, age, and BMI play a more significant role. Therefore, these factors may be more critical in guiding preventive and treatment measures.

Comparison of obesity indicators for predicting cardiovascular risk factors and multimorbidity among the Chinese population based on ROC analysis

To date, the best obesity-related indicators (ORIs) for predicting hypertension, dyslipidaemia, Type 2 diabetes mellitus (T2DM) and multimorbidity are still controversial. This study assessed the ability of 17 ORIs [body mass index (BMI), body fat percentage (BF%), c-index, Clínica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE), a body shape index (ABSI), body adiposity index (BAI), waist circumference (WC), waist-hip ratio (WHR), waist-to-height ratio (WHtR), body roundness index (BRI), abdominal volume index (AVI), triglyceride glucose index (TYG), lipid accumulation product (LAP), visceral adiposity index (VAI), Chinese visceral adiposity index (CVAI), waist triglyceride index (WTI) and cardiometabolic index (CMI)] to predict hypertension, dyslipidemia, T2DM, and multimorbidity in populations aged 40–69 years. From November 2017 to December 2022, 10,432 compliant residents participated in this study. Receiver operating characteristic curves were used to assess the ability of ORIs to predict target diseases across the whole population and genders. The DeLong test was used to analyse the heterogeneity of area under curves (AUCs). Multivariable logistic regression was used to analyse the association of ORIs with hypertension, dyslipidaemia, T2DM, and multimorbidity. The prevalence of hypertension, dyslipidaemia, T2DM, and multimorbidity was 67.46%, 39.36%, 12.54% and 63.58%, respectively. After excluding ORIs associated with the target disease components, in the whole population, CVAI (AUC = 0.656), BMI (AUC = 0.655, not significantly different from WC and AVI), CVAI (AUC = 0.645, not significantly different from LAP, CMI, WHR, and WTI), and TYG (AUC = 0.740) were the best predictor of hypertension, dyslipidemia, T2DM, and multimorbidity, respectively (all P < 0.05). In the male population, BF% (AUC = 0.677), BMI (AUC = 0.698), CMI (AUC = 0.648, not significantly different from LAP and CVAI), and TYG (AUC = 0.741) were the best predictors (all P < 0.05). In the female population, CVAI (AUC = 0.677), CUN-BAE (AUC = 0.623, not significantly different from BF%, WC, WHR, WHtR, BRI and BMI), CVAI (AUC = 0.657, not significantly different from WHR), TYG (AUC = 0.740) were the best predictors (all P < 0.05). After adjusting for all covariates, all ORIs were significantly associated with hypertension, dyslipidaemia, T2DM, and multimorbidity (all P < 0.05), except for ABSI and hypertension and BAI and T2DM, which were insignificant. Ultimately, after considering the heterogeneity of prediction of ORIs among different populations, for hypertension, BF% was the best indicator for men and CVAI for the rest of the population. The best predictors of dyslipidaemia, T2DM, and multimorbidity were BMI, CVAI and TYG, respectively. Screening for common chronic diseases in combination with these factors may help to improve the effectiveness.

Effect of paternal overweight or obesity on semen parameters, clinical pregnancy and live birth outcomes in men treated with intrauterine insemination (IUI).

Overweight and obese individuals are steadily increasing in recent years. Male overweight or obesity has adverse impact on reproductive functions. The study aimed to evaluate the potential impact of paternal overweight or obesity on sperm quality and clinical pregnancy outcome in patients undergoing intrauterine insemination (IUI) treatment. This retrospective study included 1,036 couples from our reproductive center between July 2019 and August 2022. All males were categorized into normal weight, overweight, or obese groups according to their body mass index (BMI). Baseline characteristics and reproductive hormones were analyzed. Semen parameters, clinical pregnancy and live birth outcomes were compared among the different BMI groups. There were no significant differences in sperm concentration, total sperm motility, progressive sperm motility, normal sperm morphology and sperm DNA fragmentation index (DFI) among the three groups. However, the obese group exhibited a significantly decreased semen volume compared to the other two groups (P<0.01). No differences were found in clinical pregnancy rate (CPR), abortion rate (AR) and live birth rate (LBR) among the groups (P>0.05). Slight higher ARs were observed in overweight and obese groups compared to normal group (13.64%, 21.05% vs. 11.11%, P=0.49). These data suggest that male obesity leads to a significant decrease in semen volume. It is thus recommended that male BMI should be regarded as one of the predictors for IUI treatment to avoid a decrease in semen volume.

Multiple sclerosis treatment underutilization predicts high risk for obstructive sleep apnea in patients with multiple sclerosis

BackgroundObstructive sleep apnea (OSA) is more common in patients with multiple sclerosis (MS) than in the general population, which suggests MS may predispose patients to OSA. However, the relationships between MS treatment, disease activity, disease severity, fatigue, and OSA are unknown. ObjectivesTo evaluate the connections between OSA risk, MS fatigue, and MS severity, controlling for well-established risk factors for OSA in the general population. MethodsWe administered OSA and fatigue-related questionnaires to patients with MS and collected relevant demographic and clinical data. Then, we utilized multivariate logistic regression to examine relationships between OSA risk and MS disease severity. ResultsWe identified an inverse correlation between medication possession ratio (MPR) and high OSA risk. Statistical models also demonstrated a positive correlation between fatigue and nonwhite race with high OSA risk, controlling for male sex, younger age, and body mass index (BMI). ConclusionWe identified disease-modifying therapy (DMT) underutilization, fatigue, and nonwhite race as predictors of high OSA risk in patients with MS. These findings support aggressive treatment of MS to avoid risk of comorbid OSA and MS-induced fatigue.

Sarcopenia is associated with survival in patients awaiting kidney transplant

BackgroundThe relationship of sarcopenia to frailty and other survival determinants in patients waitlisted for kidney transplant is not well characterized. Our goal was to evaluate the relationship of muscle area to functional and frailty metrics and its impact on survival in patients waitlisted for kidney transplant. MethodsAmong 303 consecutively listed transplant candidates, 172 had a computed scan within 3 months of frailty and biochemical testing that permitted muscle area evaluation. Third lumbar level psoas muscle indices (total bilateral psoas area/height2) were calculated. Testing included frailty metrics, treadmill and pedometer ability, troponin, and brain natriuretic peptide levels. Associations between muscle area, demographic, biochemical, and frailty measures were analyzed. Log-rank test was used to evaluate waitlist survival on the basis of muscle area, and multivariate Cox proportional hazards modeling was used to evaluate factors independently associated with survival. ResultsDemographic factors associated with third lumbar level psoas muscle indices include male sex (P < .001), race (P = .02), age (P = .004), and body mass index (P < .0001). Grip strength, treadmill ability, and Sit-Stands positively correlated with third lumbar level psoas muscle indices (P < .01). Brain natriuretic peptide and Up and Go negatively correlated with third lumbar level psoas muscle indices (P < .01). Survival was significantly associated with third lumbar level psoas muscle indices (P = 0.02). Treadmill ability, Sit-Stands, Up and Go, race and muscle area were most closely associated with waitlist survival on multivariate modeling. ConclusionSarcopenia as assessed with muscle area measurements is independently associated with kidney waitlist survival. Functional ability and muscle area may be overlapping, but noncongruent, determinants of waitlist outcomes and may need to be individually assessed to create the most predictive survival model.

Retrospective analysis of the drug-coated balloon-only strategy for chronic total occlusion coronary lesions.

The effects of the drug-coated balloon (DCB)-only strategy in the treatment of chronic total occlusion (CTO) coronary lesions remain controversial. Patients who underwent an in-stent restenosis (ISR) CTO percutaneous coronary intervention (PCI) had a significantly poorer prognosis than those who underwent a de novo CTO PCI. This retrospective analysis evaluated the efficacy and safety of the DCB-only strategy in the treatment of CTO lesions, and the factors associated with adverse events in the patients. Patients with CTO lesions who were treated with the DCB-only strategy from 1 January 2016 to 1 May 2021 were retrospectively enrolled in this study. The patients were stratified into the ISR and de novo (primary) groups. All the patients were re-admitted to the hospital and underwent clinical and/or angiographic follow-up. Of the 68 patients with CTO lesions, 38 (55.9%) were categorized as having ISR, and 30 (44.1%) were categorized as having de novo lesions. The outcomes measured included target lesion revascularization (TLR), lumen gain after intervention, and late lumen loss (LLL). After an average follow-up period of 16 months, a total of 15 patients experienced target lesion failure (13 in the ISR group and 2 in the de novo group). The rate of major adverse cardiac events (MACEs) was significantly lower in the de novo group than the ISR group (10% vs. 39%, P=0.004). There was a significant difference in LLL between the two groups, with the de novo group showing a decrease (-0.04±0.83 mm) and the ISR group showing an increase (0.97±1.45 mm) (P=0.03). The univariable Cox proportional hazard analyses revealed that the incidence of TLR was independently associated with the stenosis type (either ISR or de novo lesions) [odds ratio (OR): 7.28; 95% confidence interval (CI): 1.494-35.464; P=0.01]. Male gender (OR: 3.726; 95% CI: 1.014-12.818; P=0.03) and body mass index (BMI) (OR: 1.246; 95% CI: 1.022-1.518, P=0.03) were also associated with the incidence of TLR. However, after adjusting for the variables of age, gender, and BMI, no significant association was found between MACE occurrence and ISR (OR: 4.156, 95% CI: 0.734-23.522; P=0.11). Treatment using the DCB-only strategy was found to be beneficial for patients suffering from CTO coronary lesions, especially those presenting with de novo lesions.

Effect of time since vasectomy on live birth rate of TESE‒ICSI egg donation cycles and male-related prognostic factors.

Vasectomy is a widely used method of contraception. However, some men may have the desire to become biological fathers again after a period. To explore the effect of time since vasectomy and different male comorbidities on live birth rates from intracytoplasmic sperm injection cycles using donated oocytes by using testicular spermatozoa obtained by testicular sperm extraction. This was a retrospective study of 123 couples who underwent a testicular sperm extraction‒intracytoplasmic sperm injection cycle after vasectomy using donated oocytes. Subjects were divided into groups according to time since vasectomy and the male risk factor evaluated. The main outcomes measured were live birth rate per embryo transfer, per oocyte donation cycle, and per couple. We assessed the cumulative live birth rate according to the time since vasectomy and considered male comorbidities: body mass index, hypertension, diabetes mellitus, dyslipidemia, and smoking. The overall live birth rate per couple was 59.3% (50.6-68.0). Considering the number of embryo transfer and oocyte donation cycle, the live birth rates were 34.1% (27.8-40.4) and 44.5% (36.9-52.1), respectively. The live birth rate according to time since vasectomy was not statistically different between groups. Consequently, the cumulative live birth rate was similar between the different interval times when considering one to eight embryo transfers (p=0.74). No statistical differences in live birth rate and cumulative live birth rate were found between groups clustered according to male body mass index, smoking, hypertension, and dyslipidemia. However, diabetic male patients had a significantly lower rate of live birth rate per couple (22.2% [4.94-49.4]) than non-diabetic patients did (62.7% [53.7-71.8]) (p=0.03), but not in their cumulative live birth rate. The time since vasectomy seems to have no detrimental effects on the live birth rate and cumulative live birth rate in testicular sperm extraction‒intracytoplasmic sperm injection cycles with donated oocytes. Male diabetes negatively affects the overall live birth rate per couple, but not the cumulative live birth rate. These results could be useful for multidisciplinary patient-tailored counseling, regarding the chance of having a pregnancy and facilitating the decision-making process of the fertility specialists.

Do Sleep Time and Duration Affect the Development of Prehypertension in Undergraduate Medical Students? An Experience from a Tertiary Care Hospital in Kolkata

Abstract Introduction and Objective Hypertension is an evolving public health challenge at present, and it is preceded by a prehypertensive stage. Irregular sleep duration and pattern have been found to be linked with cardiovascular diseases. Medical students are highly vulnerable to low quality sleep due to pressure regarding the academic curriculum and poor lifestyle. The present study aimed to estimate the prevalence of prehypertension, describe the risk factors and sleep patterns of undergraduate medical students, and determine the association, if any, involving sleep time and duration and prehypertension. Materials and Methods Data was collected from 254 undergraduate medical students via the Pittsburgh Sleep Quality Index (PSQI) questionnaire and a self-structured questionnaire. The frequency of events was established and the Chi-squared and t-tests were applied to determine the association. Finally, regression analysis was performed to determine the correlation. Results Male sex, high body mass index (BMI), poor sleep quality, and night sleep duration shorter than 5 hours were found to be significant risk factors for the development of prehypertensive condition (prevalence of 42.5%). However, there were no statistically significant associations regarding prehypertension and family history, junk food and salt intake, physical activity and daytime napping, bedtime, and wake-up time. Night sleep duration shorter than 5 hours presented an odds ratio of 4.713 (p = 0.010) for the development of prehypertension after adjusting for other risk factors, such as male sex, sleep quality, and high BMI. Discussion and Conclusion A high prevalence of prehypertension (42.5%) was noted among undergraduate medical students. Night sleep duration shorter than 5 hours was a significant risk factor for the development of prehypertension, whereas sleep time was not significantly associated with prehypertension.

The healthcare costs of increased body mass index–evidence from The Trøndelag Health Study

BackgroundEarlier studies have estimated the impact of increased body mass index (BMI) on healthcare costs. Various methods have been used to avoid potential biases and inconsistencies. Each of these methods measure different local effects and have different strengths and weaknesses.MethodsIn the current study we estimate the impact of increased BMI on healthcare costs using nine common methods from the literature: multivariable regression analyses (ordinary least squares, generalized linear models, and two-part models), and instrumental variable models (using previously measured BMI, offspring BMI, and three different weighted genetic risk scores as instruments for BMI). We stratified by sex, investigated the implications of confounder adjustment, and modelled both linear and non-linear associations.ResultsThere was a positive effect of increased BMI in both males and females in each approach. The cost of elevated BMI was higher in models that, to a greater extent, account for endogenous relations.ConclusionThe study provides solid evidence that there is an association between BMI and healthcare costs, and demonstrates the importance of triangulation.

Body Mass Index and Waist Circumference as Predictors of Above-Average Increased Cardiovascular Risk Assessed by the SCORE2 and SCORE2-OP Calculators and the Proposition of New Optimal Cut-Off Values: Cross-Sectional Single-Center Study.

Background: Obesity has been perceived as one of the important cardiovascular risk factors, but SCORE2 calculators used in clinical practice do not include the most popular parameters assessed for body composition: body mass index (BMI) and waist circumference (WC). The objective of this research was to determine which of the aforementioned variables is a more reliable predictor of an above-average increased cardiovascular risk for gender and age (ICVR). Methods: Data from 2061 patients were analyzed; the 10-year risk of cardiovascular events was assessed by SCORE2 tables, and the correlations with BMI and WC were analyzed. Results: BMI and WC independently predicted ICVR (OR 1.10-1.27). In males, BMI was a more accurate predictor (AUC = 0.816); however, in females, it was WC (AUC = 0.739). A novel threshold for BMI (27.6 kg/m2) was suggested, which increases the risk of cardiovascular disease by 3.3-5.3 times depending on gender; the same holds true for WC (93 cm in women and 99 cm in men; 3.8-4.8-fold higher risk). Conclusions: Despite their heterogeneity, BMI and WC are effective cardiovascular risk predictors, especially BMI for males and WC for females; therefore, more research is needed to include them in future models for predicting unfavorable cardiometabolic events.

Interrelations of physical state parameters and biological age of students in the process of physical education

Background and Study Aim. The objective of the study is to investigate the relationships of students' biological age (BA) with the parameters of functional and physical fitness (PF) in the process of adaptation to standard (university) and experimental physical education programs. Material and Methods. The studies were conducted at the National University of Telecommunications of Ukraine and involved 140 students aged 17-18 years old, comprising 80 boys and 60 girls. We recorded 55 indices of students' functional state and physical fitness, and determined their Body Mass Index (BMI). The experimental data were processed using methods of correlation, dispersion, and regression analysis. Mathematical models describing the relationships between BMI and key indicators of students' physical well-being were developed. Results. The impact of the program on 17-18-year-old students is marked by a decrease in BMI, an increase in the levels of physical fitness and overall well-being among both the experimental group of girls and boys. Additionally, there is a reduced correlation between BMI and the parameters of their physical health. The key indices of functional state and physical fitness determining the BMI of male and female students were identified. Multiple regression models were developed to illustrate the dependence of male and female BMI on somatic and functional indices. Quantitative characteristics of the degree of partial and total impact of key indices on male and female BMI were provided. It was found that the key indicators of students' physical state (PS) structure, which exerted the most significant influence on BMI, differ between young men and women. In young men, the key indicators influencing BMI include the following: Vital capacity (VC) accounts for 51.9% of BMI variation; self-perceived health status (SPHS) contributes 15.3%; static balancing (SB) affects 8.5%; inspiration breath-hold time (IBH) influences 8.4%; expiration breath-hold time (EBH) has a 0.8% impact; systolic blood pressure (SBP) plays a role with 4.6%; the number of sit-ups in 30 seconds (SU30s) is associated with 0.9%; and left hand muscle strength has a 0.6% influence. In girls, the key indicators are VC (34.5% of BMI variation), SBP (23.1%), and SB (7.9%). Conclusions. The experimental program of increased motor activity leads to an increase in the functional and motor capabilities of students, while simultaneously decreasing their BMI. Among the parameters studied, changes in vegetative parameters have the greatest impact on reducing students' BMI during the annual cycle of long-term adaptation to physical loads. In contrast, changes in somatic parameters and physical fitness parameters have a lesser influence on students' BMI. The calculated equations of multiple regression serve as model characteristics that reflect the relationships between BMI and the key indicators of functional state and physical fitness in 17-18-year-old students. These equations can be utilized to estimate, model, and predict the BMI of 17-18-year-old students of different genders when altering the parameters of their physical state in various conditions of daily life and activity.

Evaluation of Radiation Exposure and Influential Factors in Cone-Beam Computed Tomography (CBCT) of the Head and Abdomen during Interventional Procedures.

Cone-beam computed tomography (CBCT) is a widely used imaging technique in interventional radiology. Although CBCT offers great advantages in terms of improving comprehension of complex angioarchitectures and guiding therapeutic decisions, its additional degree of radiation exposure has also aroused considerable concern. In this study, we aimed to assess radiation exposure and its influential factors in patients undergoing CBCT scans of the head and abdomen during interventional procedures. A total of 752 patients were included in this retrospective study. Dose area product (DAP) and reference air kerma (RAK) were used as measures of patient dose. The results showed that the median values of DAP were 53.8 (50.5-64.4) Gy⋅cm2 for head CBCT and 47.4 (39.6-54.3) Gy⋅cm2 for that of the abdomen. Male gender and body mass index (BMI) were characterized by increased DAP and RAK values in both head and abdominal CBCT scans. Larger FOV size was associated with a higher DAP but a lower RAK value, especially in head CBCT scans. Exposure parameters under automatic exposure control (AEC) also varied according to patient BMI and gender. In conclusion, the patients received slightly higher radiation doses from head CBCT scans than from those applied to the abdomen. BMI, gender, and FOV size were the key factors that influenced the radiation dose administered to the patients during CBCT scans. Our results may help to define and minimize patients' exposure to radiation.

The relationship between Marriage and Body Mass Index in China：Evidence from the China Health and Nutrition Survey

This study investigates the impact of marriage on the body mass index (BMI) of individuals aged 18–45 in China. We used data from ten rounds of the China Health and Nutrition Survey spanning from 1989 to 2015, and applied Difference-in-Differences (DID) model to examine the impact of marriage on BMI. Our findings reveal that marriage has a significant positive effect on BMI, especially among males, with post-marriage elevation of male BMI continuing to increase over time. Moreover, marriage is associated with a 5.2% increase in the prevalence of overweight and a 2.5% rise in the incidence of obesity among males. While energy intake levels for Chinese women did not undergo significant changes after marriage, nor did their energy expenditure levels, men experienced a marked alteration in energy balance, characterized by an increase in caloric intake and a decrease in physical activity. Furthermore, our study confirms significant period differences in the effect of marriage on BMI, with post-marriage elevation of male BMI continuing to rise over time. In contrast, there was no clear trend for female BMI after marriage. Our research highlights the importance of promoting physical fitness and health management within families while fostering intimate relationships through marriage. Public health policies should consider the potential impact of marriage as an intervention window for addressing individuals' weight management needs. Distinct post-marriage body management plans should be designed for both genders.