Female Age Research Articles

Exploring the economic landscape of ureteric stones: impact of age and gender on direct healthcare costs.

To assess whether age or gender affects ureteric stone management costs, in patients presenting to the Emergency Department (ED) with CT proven ureteric stones. A retrospective examination was conducted on patients admitted to the ED who were diagnosed with a ureteric stone through CT scans. Data encompassing clinical, laboratory, and imaging parameters were gathered, alongside information on admissions, ED readmissions, surgical procedures, and the overall treatment cost. Comparative analyses were performed on various cost rates in relation to different stone parameters, patient clinical presentations, laboratory results, and personal histories of urolithiasis. From January 2018 to January 2020, 805 patients underwent abdominal CT scans at a single institution's ED and were diagnosed with ureteric stones. Among them, 773 patients met the inclusion criteria, with 78% (609) being males and 22% (169) females. The mean ages for males and females were 49.4 (SD 14.4) and 51.6 (SD 15.7), respectively (p = 0.08). Treatment costs exhibited a direct relationship with age, amounting to 4,025, 5,116, 6,058, and 9,225 US dollars (USD) in the 18-30, 31-50, 51-70, and over 70 age groups, respectively. Female gender was associated with higher treatment costs, averaging 6,831 USD, compared to 5,450 USD in males (p = 0.03). However, there were no significant differences between genders in terms of the type of surgical procedure (p = 0.4) or hospital stay duration (p = 0.1). Age and gender exerted a significant impact on treatment costs, revealing that advanced age and female gender were both correlated with higher direct treatment costs in the care of ureteric stones.

SPINDILOMETER: a model describing sleep spindles on EEG signals for polysomnography.

This paper aims to present a model called SPINDILOMETER, which we propose to be integrated into polysomnography (PSG) devices for researchers focused on electrophysiological signals in PSG, physicians, and technicians practicing sleep in clinics, by examining the methods of the sleep electroencephalogram (EEG) signal analysis in recent years. For this purpose, an assist diagnostic model for PSG has been developed that measures the number and density of sleep spindles by analyzing EEG signals in PSG. EEG signals of 72 volunteers, 51 males and 21 females (age; 51.7 ± 3.42years and body mass index; 37.6 ± 4.21) diagnosed with sleep-disordered breathing by PSG were analyzed by machine learning methods. The number and density of sleep spindles were compared between the classical method (EEG monitoring with the naked eye in PSG) ('method with naked eye') and the model (SPINDILOMETER). A strong positive correlation was found between 'method with naked eye' and SPINDILOMETER results (correlation coefficient: 0.987), and this correlation was statistically significant (p = 0.000). Confusion matrix (accuracy (94.61%), sensitivity (94.61%), specificity (96.60%)), and ROC analysis (AUC: 0.95) were performed to prove the adequacy of SPINDILOMETER (p = 0.000). In conclusion SPINDILOMETER can be included in PSG analysis performed in sleep laboratories. At the same time, this model provides diagnostic convenience to the physician in understanding the neurological events associated with sleep spindles and sheds light on research for thalamocortical regions in the fields of neurophysiology and electrophysiology.

Development of a machine learning-based prediction model for clinical pregnancy of intrauterine insemination in a large Chinese population.

This study aimed to evaluate the effectiveness of a random forest (RF) model in predicting clinical pregnancy outcomes from intrauterine insemination (IUI) and identifying significant factors affecting IUI pregnancy in a large Chinese population. RESULTS: A total of 11 variables, including eight from female (age, body mass index, duration of infertility, prior miscarriage, and spontaneous abortion), hormone levels (anti-Müllerian hormone, follicle-stimulating hormone, luteinizing hormone), and three from male (smoking, semen volume, and sperm concentration), were identified as the significant variables associated with IUI clinical pregnancy in our Chinese dataset. The RF-based prediction model presents an area under the receiver operating characteristic curve (AUC) of 0.716 (95% confidence interval, 0.6914-0.7406), an accuracy rate of 0.6081, a sensitivity rate of 0.7113, and a specificity rate of 0.505. Importance analysis indicated that semen volume was the most vital variable in predicting IUI clinical pregnancy. The machine learning-based IUI clinical pregnancy prediction model showed a promising predictive efficacy that could provide a potent tool to guide selecting targeted infertile couples beneficial from IUI treatment, and also identify which parameters are most relevant in IUI clinical pregnancy.

Appearance Anxiety and Loneliness among Young Adults

Abstract: This study aims to investigate the connection between young adults' feelings of loneliness and appearance anxiety . It also examines whether there is a gender difference in males and females when it comes to appearance anxiety and feeling of loneliness. However, there is an evident lack of relevant data in the Indian context. This is a quantitative study administered in 150 participants. Convenient sampling method was used to collect data. The participants for the current study were 72 males and 78 females of age between 18 to 25. Appearance anxiety was measured using the 10 item scale, the appearance anxiety inventory. Loneliness was measured using UCLA loneliness scale which has 20 items. The findings indicated a connection between young individuals' feelings of loneliness and appearance anxiety. Additionally, it demonstrates that there is no gender difference in loneliness and appearance anxiety in men and women.

Construction and validation of the Wingate index model for elite athletes

ObjectiveThe gold standard for measuring anaerobic fitness is the power cycle ergometer test, but this method is expensive and time-consuming, and it has negative effects on pre-competition performance. This study aims to utilize the strong correlation between accessible body composition indices and less accessible anaerobic power bicycle indices to establish and verify a Wingate Index Model. MethodsA cohort of 993 male (age: 22.56 ± 3.30 years) and 450 female (age: 21.47 ± 2.70 years) athletes who participated in diverse sports were enrolled and completed the high-intensity power cycle test and body composition test, and the model formula was established based on these data. Totally, 283 participants were randomly selected to verify the formula using SPSS 22.0 and GraphPad Prism 9.4.1. ResultsThere was no significant difference between the value derived from the confirmed formula and the measured value of the instrument among the elite athletes (p > 0.05). The probabilities that the values obtained by the formula would fall within the 95 % confidence interval were as follows: Mpower(mean power): 94.7 %, Mpower/W(mean power/weight): 96.8 %, total work: 94.7 %, Ppower(peak power): 94.7 %, Ppower/W(peak power/weight): 95.8 %, and fatigue index: 93.6 %. ConclusionBy constructing and validating multiple regression equations for the anaerobic power cycle and body composition indices, this study showed that the probabilities of the values obtained from the equations falling within the 95 % confidence interval were 94.7 % for Mpower, 96.8 % for Mpower/W, 94.7 % for total work, 94.7 % for Ppower, 95.8 % for Ppower/W, and 93.6 % for fatigue index. Therefore, these equations may have some practical value in predicting the elite athlete population.

The effect of social network based motivational interviewing on health behaviors among infertile women with polycystic ovary syndrome: A randomized controlled trial.

Polycystic ovary syndrome is one of the commonest and complex endocrine disorders in females of reproductive age. Attention to self-care behaviors such as health-promoting behaviors can improve physiological and psychological conditions in women with PCOS. This study aimed to determine the efficacy of Social Network-Based Motivational Interviewing on health-promoting behaviors and quality of life of infertile women with polycystic ovary syndrome. In this randomized controlled trial, 60 infertile women with polycystic ovary syndrome were randomly selected and assigned to the interventio (n = 30) or a control group (n = 30). Participants in the control group received routine care. Those in the intervention group received five motivational group sessions in WhatsApp, which were conducted in five groups of six participants each. The data related to health-promoting behaviors and quality of life were collected through an online questionnaire. Both groups were followed up immediately and 2 months after the intervention. Data collected in the two stages were analyzed using the paired-samples t-test, Chi-square, and repeated measures analysis. No significant difference was observed between the two groups before the intervention means health-promoting behaviors and quality of life scores (p>0.05). Immediately and two months after the intervention, the mean scores of health-promoting behaviors and their domains increased in the intervention group. This increase is statistically compared to the first test, and the scores obtained by the control group in the second (p< 0.001, ES = 1.5) and the third test (p< 0.001, ES= 1.3) were significant. The score of the quality of life variable increase was not statistically significant compared to the first test and also to the scores obtained by the control group. However According to the Generalized estimating equations (GEE) test, the changes in quality of life score between the two groups in the three stages of measurement are statistically significant. WhatsApp support increases the health-promoting self-care behaviors rate and has favorable effects on follow-up.Trial registration: Iranian Registry for Clinical Trial (the link to trial: https://www.irct.ir/trial/48089 ). Registered August 11 2020.

Machine-learning guided differentiation between photoplethysmography waveforms of supraventricular and ventricular origin

Abstract Aims To test, whether a neural network-based classifier could aid in distinguishing photoplethysmographic (PPG) pulse waveforms of ventricular from those of supraventricular origin. Methods Thirty patients undergoing invasive electrophysiological studies for documented narrow complex tachycardias between May and December 2021 at a university medical centre were included in the trial. PPG waveforms were recorded using a PPG wristband (Empatica E4) in parallel to 12-lead surface electrograms (ECGs) and intracardiac electrograms from diagnostic catheters. Pulse waves were then annotated to either supraventricular (sinus rhythm, atrial pacing) or ventricular origin (ventricular pacing) based on invasive electrogram recordings, ECGs and stimulation protocols. 21147 data sets were split into test, training and validation data sets and used to develop, train and validate a convolutional neural network (CNN) for classifying PPG waveforms according to their origin into sinus rhythm, atrial or ventricular pacing. Results Datasets were complete for 27 patients. 74% were female and median age was 53 (range 18, 78) years, median BMI was 27±5, 19% had arterial hypertension, 11% had diabetes and 15% had coronary artery disease. During the electrophysiological study, typical AV-nodal re-entrant tachycardias could be induced in 63% of patients, 15% had inducible atrial tachycardias and the other patients had no inducible tachyarrhythmias. Our CNN-based classifier was able to correctly predict the origins of pulse waves in 95±1% for sinus rhythm, 96±1% for atrial paced rhythms and 95±1% for ventricular rhythms. Conclusion A neural network-based classifier trained on ground truth PPG data obtained by using invasive EP measurements for annotation could accurately predict atrial or ventricular origin from PPG waveforms alone.Graphical abstract

Predictors of Pregnancy Outcome for Libyan Infertile Women Underwent Intracytoplasmic Sperm Injection Cycle at Tripoli Infertility Center

Intracytoplasmic Sperm Injection (ICSI) is a crucial treatment approach in assisted reproduction technology (ART) for infertility clinics. However, low pregnancy rates in ICSI cycles are a problem. Despite its potential, ICSI can be expensive, time-consuming, and cause concerns about gametes and newborn health. The study aims to identify factors predicting pregnancy rates among infertile couples undergoing Intracytoplasmic Sperm Injection cycle at Tripoli Infertility Center in Libya. This retrospective study reviewed all infertile couples' medical files at the Infertility Tripoli Centre from January to December 2023. A structured case sheet was used to collect data on female patients' age, causes of infertility, duration of infertility, previous pregnancy, antral follicles count, endometrial thickness, number of embryos transferred, and pregnancy outcomes. The study was divided into two groups based on pregnancy test results. Statistical analysis involved simple descriptive statistics, Chi square, and independent sample t-test. This study involved 90 women, with 35.6% having a positive pregnancy test. The pregnancy rate was 59.4% in women under 35, and decreased to 9.4% in those 40 or older. No significant differences were found in infertility duration or previous pregnancy (all P &gt; 0.05). Partner analysis revealed that 64.2% had asthenospermia, while endocrinopathies were reported by 41.8% of women. No significant differences were found in antral follicle count, endometrial thickness, oocyte number, or quality between pregnant and non-pregnant women (all P &gt; 0.05). Our findings suggest that Maternal age has a significant impact on the success of ICSI, with advanced age in women negatively affecting ICSI outcomes.

The Effect of the Lorsbach Model on Developing Sensory Thinking for First-Grade Female Students in Science

Experimental design with two equal groups, and the research sample consisted of Governorate, for the academic year (2023-2024). The researchers adopted an limited to first-grade female students in the city of Mosul, the center of Nineveh of the research, the researchers formulated the null hypothesis. The research was formal achievement of first-grade female students in science). To achieve the goal The current research seeks to find out (the effect of the Lorsbach model on the Steps for using it in the classroom environment teachers on the importance of the Lorsbach model and its effectiveness. And and introductory seminars for male and female first-grade primary school General Directorate of Nineveh Education to hold workshops, training courses, including: directing the training and professional development divisions in the researchers presented a number of recommendations to executive agencies, according to the Lorsbach model, and in light of the results and conclusions, the experimental group with The highest arithmetic mean, which was studied between the two groups in the mock achievement test, in favor of the research results showed: the presence of a statistically significant difference reached ( 74, 0). After processing the data and using the statistical package, the using the equation (Couder - Redchadson - 20), where the reliability coefficient The reliability of the test was confirmed. test in science, consisting of (20) items To measure the dependent variable, The researchers prepared an achievement variables: (the female students' chronological age in months, intelligence level). conducted equivalence between the two research groups with the following control group who will study according to the usual method. The researchers will study according to the Lorsbach model and (34) female students for the (66) female students, with (32) female students for the experimental group who.

#1703 Role of early AV fistula creation among elderly and its impact on estimated decline in GFR among pre dialysis patients

Abstract Background and Aims Recent evidence suggests that AVF creation may slow estimated glomerular filtration rate (eGFR) decline. The aim of the present study was to assess the impact of the pre dialysis AVF creation on eGFR decline and the need for dialysis, after controlling for key confounding factors among elderly population with advanced renal failure . Method A retrospective cohort study among patients attending Nephrology, Urology and General Surgery OPD between Jan 2019-Jan 2022 in Tertiary care hospital, Lucknow for AV fistula creation and assessed their stage of CKD and trajectory of fall in eGFR within a year's time and the time to initiation of dialysis from AV fistula creation was assessed. Results 34 men and 23 females (&amp;gt; 65 years ) of age who at time of AV fistula creation had an median eGFR at time of AVF creation of 15.5 (10.3–16.9) mL/min/1.73m2. The factors like frailty, diabetes, psychosocial issues were matched between the two genders . Males were more in age with better BMI .Baseline eGFRs were 14.4± 2.0 mL/min/1.73m2 in men and 13.8.0 ± 1.2 mL/min/1.73m2 in women. The crude annual eGFR decline rates were − 3.20 ± 2.50 mL/min/1.73 m2 pre- and − 2.45 ± 2.16 mL/min/1.73 m2 post-AVF. In a mixed effect linear regression model, monthly eGFR decline was − 0.43 mL/min/1.73m2/month.. The period after AVF creation was associated with a relatively higher eGFR . There was a significant association between follow-up time and the period pre/post AVF such that eGFR decline was more attenuated each month after AVF creation. There was better preservation of GFR from the pre AV fistula creation . Conclusion In this cohort, AVF creation was associated with a significant reduction of eGFR decline among elderly population . Further prospective studies are needed to confirm this association

#1763 Risk factors and clinical prediction models for osteoporosis in predialysis chronic kidney disease patients

Abstract Background and Aims The research concerning osteoporosis among individuals with predialysis chronic kidney disease (CKD) has been relatively neglected in existing literature. Furthermore, the risk factors for osteoporosis in this demographic have not been adequately investigated. The objective of this study was to explore the risk factors associated with osteoporosis in predialysis CKD patients and to construct a predictive model capable of estimating the likelihood of osteoporosis in these individuals. Method A retrospective study was conducted on 326 predialysis CKD patients. Relevant clinical examination results and measurements of bone mineral density (BMD) using dual-energy X-ray absorptiometry were collected. Binary logistic regression was utilized to explore the risk factors associated with osteoporosis and to develop predictive models. Results In male predialysis CKD patients, age represents a risk factor, while 25-(OH)-Vitamin D acts as a protective factor against osteoporosis. Among female patients, age, underweight status, NBAP, and advanced CKD (G5) are significant risk factors for osteoporosis, whereas PTH serves as a protective factor. In pre-dialysis CKD patients in stages CKD1-4, age, underweight status, and NBAP are identified as risk factors for osteoporosis. For G5 predialysis patients, advanced age and NBAP pose a high risk of osteoporosis, while 25-(OH)-Vitamin D and PTH exhibit protective effects. Additionally, nomogram models illustrating the risk of osteoporosis in pre-dialysis patients of different genders and renal function stages were created. Conclusion Age, underweight, severity of renal dysfunction, NBAP, PTH, and 25-(OH)-vitamin D are strongly associated with osteoporosis in predialysis CKD patients.

Impact of age on the reproductive output of Hermetia illucens (Diptera: Stratiomyidae).

The current study examined the impact of adult black soldier fly (Hermetia illucens (L.)), age on reproductive output. Four treatments consisting of an equal sex ratio of the following combinations were used: 2-day-old males with 2-day-old females (YMYF); 6-day-old males with 2-day-old females (OMYF); 2-day-old males with 6-day-old females (YMOF); 6-day-old males with 6-day-old females (OMOF). Adult age was a significant factor for the overall number of mating events observed, with YMYF having 2.2× more than YMOF and 2.7× more than OMOF. Time was a significant factor in the number of mating events observed, with 97.8% observed on days 2-6. Age was not a significant factor for the total number of oviposition events, but the inclusion of time as a factor was significant, with 91.5% of all events occurring on days 2-6. Treatment and trial significantly interacted with egg production. This response can be attributed to treatments containing old females, which had a 50% variation in egg output across trials. Treatments containing young females were consistent in terms of egg production. As anticipated, due to oviposition events, 94.8% of total eggs were oviposited on days 2-6. Fecundity and egg hatch were also significantly impacted by female age, with a 50% reduction in both cases across trials occurring in old females. Young females paired with old males had a 20% reduction in egg hatch, but this difference was not statistically significant.

Lifestyle habits and examination findings before and during the COVID-19 pandemic: From health checkups in a rural area in Japan.

Aim: Few health checkup studies have reported lifestyle habits and examination results before and during the COVID-19 pandemic. We compared lifestyle habits and examination results surveyed before and during the COVID-19 pandemic. Methods: Five hundred and ten and 396 participants attended the health checkup in 2019 and 2022, respectively. The median age of females was 65 in 2019 and 2022, and that of males was 68 in 2019 and 69 in 2022. We investigated dietary and exercise habits, alcohol consumption, sleeping situation, and examination results, including body mass index (BMI), smell function, and blood examination results before and during the COVID-19 pandemic in a rural area in Japan. Results: An ordinal logistic regression analysis revealed that the intake frequency of vegetables and marine products was significantly less in 2022 than in 2019 after adjusting age and sex; green leafy vegetables (p = .016), fish (p = .002), and other marine products, including squid, shrimp, crabs, and octopus (p = .008). Alcohol consumption amount increased significantly in 2022 than in 2019 in men who drank beer (p = .007) and chuhai (p = .040). Albumin, hematocrit, cholesterols, and uric acid decreased, but serum calcium increased significantly in 2022 than in 2019 after adjusting age and sex. BMI and hemoglobin A1c were not significantly different between 2019 and 2022. A decrease in subjective smell feeling and smell test results was associated with decreased intake frequency of vegetables. Conclusion: Both dietary habits and blood examination results changed significantly during the COVID-19 pandemic in a rural area in Japan.

A Primary Care–Based Weight Navigation Program

Evidence-based weight management treatments (WMTs) are underused; strategies are needed to increase WMT use and patients' weight loss. To evaluate the association of a primary care-based weight navigation program (WNP) with WMT use and weight loss. This cohort study comprised a retrospective evaluation of a quality improvement program conducted from October 1, 2020, to September 30, 2021. Data analysis was performed from August 2, 2022, to March 7, 2024. Adults with obesity and 1 or more weight-related condition from intervention and control sites in a large academic health system in the Midwestern US were propensity matched on sociodemographic and clinical factors. WNP, in which American Board of Obesity Medicine-certified primary care physicians offered weight-focused visits and guided patients' selection of preference-sensitive WMTs. Primary outcomes were feasibility measures, including rates of referral to and engagement in the WNP. Secondary outcomes were mean weight loss, percentage of patients achieving 5% or more and 10% or more weight loss, referral to WMTs, and number of antiobesity medication prescriptions at 12 months. Of 264 patients, 181 (68.6%) were female and mean (SD) age was 49.5 (13.0) years; there were no significant differences in demographic characteristics between WNP patients (n = 132) and matched controls (n = 132). Of 1159 WNP-eligible patients, 219 (18.9%) were referred to the WNP and 132 (11.4%) completed a visit. In a difference-in-differences analysis, WNP patients lost 4.9 kg more than matched controls (95% CI, 2.11-7.76; P < .001), had 4.4% greater weight loss (95% CI, 2.2%-6.4%; P < .001), and were more likely to achieve 5% or more weight loss (odds ratio [OR], 2.90; 95% CI, 1.54-5.58); average marginal effects, 21.2%; 95% CI, 8.8%-33.6%) and 10% or more weight loss (OR, 7.19; 95% CI, 2.55-25.9; average marginal effects, 17.4%; 95% CI, 8.7%-26.2%). Patients in the WNP group were referred at higher rates to WMTs, including bariatric surgery (18.9% vs 9.1%; P = .02), a low-calorie meal replacement program (16.7% vs 3.8%; P < .001), and a Mediterranean-style diet and activity program (10.6% vs 1.5%; P = .002). There were no between-group differences in antiobesity medication prescribing. The findings of this cohort study suggest that WNP is feasible and associated with greater WMT use and weight loss than matched controls. The WNP warrants evaluation in a large-scale trial.

Analysis of garment fit problems and body measurements of Ethiopian young female consumers

Purpose This paper aims to investigate fit problems with some ready-to-wear garments, analyse the body measurements of Ethiopian young female consumers and draw implications for the improvement of ready-to-wear garment fit. Design/methodology/approach A random sample of 970 university students aged 18–35 years were interviewed, and their 35 body dimensions were measured manually according to the procedures in ISO 8559: 2017. The fit problems and body measurements were examined with the body mass index (BMI) and ethnicity of the subjects. Moreover, 15 body dimensions were compared with that of Chinese and US females of similar age. Findings The results showed that fit problems are frequent in lower garments for underweight consumers. Nearly consistent and smaller differences in body measurements were observed with BMIs and ethnicity of the subjects, while inconsistent and larger differences were found among the subjects from the three countries. The Ethiopian subjects were smaller than the Chinese in height and weight, between the Chinese and US females in most body measurements, and larger than the US subjects in across shoulder and arm and shoulder lengths. The results alarm the need for the development of Ethiopian national garment size standards. Originality/value The paper relates ready-to-wear garment fit issues to demographic factors and demographic factors to body measurements. Moreover, it considers young female consumers in Ethiopia, an African country with less explored consumer needs for clothing.

Long-Term Patient Symptoms and Quality of Life in Adults After COVID-19: A Real Life Study

ObjectiveTo characterize long-term patient-reported symptoms and quality of life, in adults after COVID-19. Material and methodsCross-sectional study in Cantabria (Northern Spain) including adults with PCR-confirmed SARS-CoV-2 infection (n=694) with a time period between 4.7 and 24 month post-SARS-CoV-2 diagnosis, and their close contacts (n=663) (PCR negative and without suspected infection) obtained from simple random sampling of a total of 47,773 cases and 94,301 close contacts. The ISARIC survey was used as screening tool with self-reported “non-feeling fully recovery (NFFR)” defined as primary outcome. Results16.57% (n=115/694) reported NFFR. Most prevalent symptoms were in order of frequency: Fatigue (54.8%); Loss of smell (40.9%); Problems speaking or communicating (29.6%); Loss of taste (28.7%); Confusion/lack of concentration (27.8%); Persistent muscle pain (24.3%) and Shortness of breath/breathlessness (23.5%). When comparing the three ordinal groups (Close contacts, COVID-19 feeling recovered, and COVID-19 NFFR) the prevalence of these symptoms was increasingly higher among each ordinal group (p<0.001). Female gender was significantly associated with NFFR: (adjusted odds ratio (aOR)=1.56); as well as older age: aOR per 10 year increment=1.15. Lastly, they scored on average 9.63 points less in Euroquol. ConclusionsMore than 15% of patients in our real-life population-based study, reported NFFR, being female sex and older age independent predictors of this condition. Most symptoms in these patients were in accordance with WHO definition of post COVID-19 condition in adults, and were less prevalent in COVID-19 feeling recovered and close contact respectively, with a statistically significant dose-response pattern, and with a large decrease in quality of life according to Euroquol.

Evaluation of Trichomonas vaginalis and Candida albicans alongside with pathogenic bacteria in kirkuk females

Vulvovaginitis is one of the commonest reproductive tract infections in women worldwide. There are three types of infectious :vaginitis including, bacterial vaginosis ,valvovaginal candidiasis, and trichomoniasis. During the period from December 2021 to April 2022 in the Women conduct Children Hospital in Al-Nasr neighborhood and in private outpatient clinics in Kirkuk city in Iraq. The number of specimens examined was 160 samples(106from healthy and 54from infected women) and the ages ranged between (14-50) years. After the pairs swabs were taken, the direct examination and staining and culturing on the different culture media to diagnose many pathogenic microorganism (bacteria spp, candida spp, trichomonas vaginalis parasite). Trichomoniasis was detected by wet and stained smears and culture . Bacterial infection was confirmed by Nugent scoring method after Gram staining and culture . Candidiasis was identified by direct examination and culturing on both Sabouraud dextrose agar and Chromagar medium. The bacterial and candida diagnosis conforming by vitex-2 system. From the54 sample positive, the commonest organisms was bacteria (33.75%gram negative and gram positive 31.25%), followed by Candida species 14.37%, Trichomniasis as 5%, and mixed infection with these three agents in 17.5%. the commonest organisms was bacteria (100%gram negative and 92.59%), followed by Candida species 42.59%, Trichomniasis as 14.81%, and mixed infection with these three agents in 51.85%.E. coli 15(27.77%) and staph. aureus 16(32%) was the major bacteria isolate and candida albicans(13.12%) was the major of candida spp. isolate. And the results of the relationship of Vulvovaginitis with the age showed that incidence of infection was high among females age group(36-45years) 20(12.5%) . This study conclude that, bacterial vaginosis compile high percentage among women with vaginal discharge. It can be present alone or along with candidiasis while rare cases record a combined infection of bacterial vaginosis along with trichomoniasis and both candidiasis and trichomoniasis may be as secondary infection that enhanced after bacterial vaginosis.

Considerations in the Aging Female Athlete

As female athletes age, their risk of musculoskeletal injuries increases. These injuries can have a negative impact on their health and athletic abilities. This article explores the most common conditions that aging female athletes may face, such as osteoarthritis, meniscal injuries, joint instability, rotator cuff injuries, and stress fractures. Hormonal and physiological changes, anatomical differences, and changes in bone mineral density can cause these injuries. To prevent such injuries, it is crucial to incorporate comprehensive injury prevention programs that include strength training, flexibility exercises, balance training, and appropriate warm-up and cool-down routines. These programs should be tailored to the individual's fitness level and musculoskeletal issues. Additionally, the article offers valuable insights into various techniques for managing and treating these injuries, such as non-surgical interventions, surgical options, and rehabilitation programs. Healthcare professionals, coaches, and athletes themselves must recognize and address these issues to improve performance, prevent injuries, and support the overall health and well-being of aging female athletes. In conclusion, maintaining physical fitness and engaging in structured exercise programs are crucial for aging female athletes to slow the decline in musculoskeletal strength and integrity. Proper first aid measures, appropriate medications, and a comprehensive exercise regimen can aid in recovery and regain strength, function, and mobility, enabling a return to competitive sports or other athletic pursuits.

Fertility decline in Aedes aegypti (Diptera: Culicidae) mosquitoes is associated with reduced maternal transcript deposition and does not depend on female age.

Female mosquitoes undergo multiple rounds of reproduction known as gonotrophic cycles (GC). A gonotrophic cycle spans the period from blood meal intake to egg laying. Nutrients from vertebrate host blood are necessary for completing egg development. During oogenesis, a female prepackages mRNA into her oocytes, and these maternal transcripts drive the first 2h of embryonic development prior to zygotic genome activation. In this study, we profiled transcriptional changes in 1-2h of Aedes aegypti (Diptera: Culicidae) embryos across 2 GC. We found that homeotic genes which are regulators of embryogenesis are downregulated in embryos from the second gonotrophic cycle. Interestingly, embryos produced by Ae. aegypti females progressively reduced their ability to hatch as the number of GC increased. We show that this fertility decline is due to increased reproductive output and not the mosquitoes' age. Moreover, we found a similar decline in fertility and fecundity across 3 GC in Aedes albopictus. Our results are useful for predicting mosquito population dynamics to inform vector control efforts.

Breaking down causes, consequences, and mediating effects of telomere length variation on human health

BackgroundTelomeres form repeated DNA sequences at the ends of chromosomes, which shorten with each cell division. Yet, factors modulating telomere attrition and the health consequences thereof are not fully understood. To address this, we leveraged data from 326,363 unrelated UK Biobank participants of European ancestry.ResultsUsing linear regression and bidirectional univariable and multivariable Mendelian randomization (MR), we elucidate the relationships between leukocyte telomere length (LTL) and 142 complex traits, including diseases, biomarkers, and lifestyle factors. We confirm that telomeres shorten with age and show a stronger decline in males than in females, with these factors contributing to the majority of the 5.4% of LTL variance explained by the phenome. MR reveals 23 traits modulating LTL. Smoking cessation and high educational attainment associate with longer LTL, while weekly alcohol intake, body mass index, urate levels, and female reproductive events, such as childbirth, associate with shorter LTL. We also identify 24 traits affected by LTL, with risk for cardiovascular, pulmonary, and some autoimmune diseases being increased by short LTL, while longer LTL increased risk for other autoimmune conditions and cancers. Through multivariable MR, we show that LTL may partially mediate the impact of educational attainment, body mass index, and female age at childbirth on proxied lifespan.ConclusionsOur study sheds light on the modulators, consequences, and the mediatory role of telomeres, portraying an intricate relationship between LTL, diseases, lifestyle, and socio-economic factors.