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1.
Int J Fertil Steril ; 18(3): 240-247, 2024 Jun 09.
Article in English | MEDLINE | ID: mdl-38973277

ABSTRACT

BACKGROUND: Age, smoking, sleep duration, sleep quality, and obesity are risk factors that can affect the amount of sperm concentration, morphology, and motility. The aim of this study is to assess the lifestyle effects: of age, smoking, sleep duration, sleep quality, and obesity on the amount of concentration, morphology, and motility of sperm. MATERIALS AND METHODS: The study utilized an analytical observational approach with a cross-sectional design. The study subjects comprised 70 male partners of infertile couples admitted to the Sekar Fertility Clinic at the Dr. Moewardi General Hospital between March and August 2022. The study assessed variables including age, body mass index (BMI), smoking status, sleep duration, sleep quality, sperm concentration, sperm morphology, and sperm motility. Furthermore, the data were analyzed using univariate, bivariate, and multivariate methods with SPSS 25 software. RESULTS: The research findings demonstrate that obesity is significantly associated with abnormal sperm concentration [odds ratio (OR)=40.07, confidence interval (CI)=3.90-411.67, P=0.002]. Furthermore, moderate or heavy smoking is significantly associated with abnormal sperm concentration (OR=17.45, CI=1.83-166.15, P=0.013) and sleep quality with severe disorders (OR=5.73, CI=1.12-29.21, P=0.036). Moreover, obesity is significantly associated with abnormal sperm motility (OR=12.97, CI=2.66-63.15, P=0.002), while moderate or heavy smoking (OR=5.89, CI=1.23- 28.20, P=0.026) and poor sleep duration (OR=6.21, CI=1.43-26.92, P=0.015) also exhibit significant associations with abnormal sperm motility. However, no significant findings were observed regarding sperm morphology. CONCLUSION: The findings of this study indicate that obesity, moderate or heavy smoking, and sleep quality have statistically significant effects on sperm concentration, while obesity, moderate or heavy smoking, and sleep duration have statistically significant effects on sperm motility. However, no statistically significant influence was observed on sperm morphology. Further research with larger sample sizes and more diverse populations is needed to validate these findings and explore other potential factors that may impact male fertility.

2.
Front Surg ; 9: 895025, 2022.
Article in English | MEDLINE | ID: mdl-35599793

ABSTRACT

Giant ovarian cyst itself is defined as a cyst >10 cm in diameter from radiological- examination or the size of the cyst exceeds the umbilicus. Extra-large benign and malignant cysts of the ovary are uncommon and involve diagnostic and management challenges. We present the case of a 20-year-old nulliparous woman who was referred to our center with complaints of abdominal pain and heavy breathing. She benefited from a salphingo-oophorectomy laparotomy procedure. Benign and malignant gynecologic and non-gynecologic etiologies are included in the differential diagnosis of an abdominal mass. Because of the infrequent occurrence or absence of distinctive clinical presentation of the giant ovarian cyst, accurate preoperative diagnosis is challenging.

3.
Med Acupunct ; 33(6): 428-434, 2021 Dec 01.
Article in English | MEDLINE | ID: mdl-34976276

ABSTRACT

Objective: Polycystic ovary syndrome (PCOS) is an endocrine disorder affecting folliculogenesis and endometrial receptivity. PCOS causes low fertility due to failures in folliculogenesis and ovulation. Electroacupuncture (EA) may help improve folliculogenesis and endometrial receptivity. EA can decrease tonic activity in the sympathetic vasoconstrictor pathway to the uterus. This study was conducted to determine the effect of the addition of EA therapy on folliculogenesis and endometrial receptivity in women with PCOS. Materials and Methods: This case-control study was conducted at the Dr. Moewardi General Hospital, in Jawa Tengah, Indonesia. The subjects were women with PCOS, ages 20-45, who were infertile. They were divided into a control group (17 women) and an experimental group (17 women). The control group received letrozole therapy, and the experimental group received EA + letrozole therapy. Folliculogenesis is determined by measuring the growth of follicle diameter on days 2, 6, 8, 10, and 12 of the menstrual cycle. Endometrial receptivity is determined by resistance index (RI) and pulsatility index (PI) examinations on days 19 and 21; endometrial thickness is measured on day 12. Results: There was a significant difference in folliculogenesis on days 2, 6, 8, 10, and 12. Folliculogenesis with letrozole versus EA + letrozole, respectively, were: day 2 = 5.59 ± 1.06 versus 7.01 ± 1.53, P = 0.004; day 6 = 6.71 ± 1.59 versus 9.11 ± 1.23, P < 0.001; day 8 = 9.51 ± 2.68 versus 12.44 ± 1.49, P < 0.001; day 10 = 11.30 ± 3.08 versus 15.53 ± 2.34, P < 0.001; and day 12 = 13.92 ± 3.61 versus 19.86 ± 0.75, P < 0.001. RI value with letrozole versus EA + letrozole were, respectively, day 19 = 0.91 ± 0.07 versus 0.88 ± 0.07, P = 0.150; day 21 = 0.88 ± 0.07 versus 0.79 ± 0.09, P < 0.001. PI value with letrozole versus EA + letrozole were respectively, day 19 = 3.00 ± 0.89 versus 2.30 ± 0.65, P = 0.009; and day 21 = 2.72 ± 0.88 versus 2.02 ± 0.55, P = 0.009. Endometrial thickness with letrozole versus EA + letrozole were, respectively, day 12 = 6.95 ± 1.82 versus 8.22 ± 1.76, P = 0.005. Conclusions: The addition of EA to letrozole therapy improved folliculogenesis, RI, PI, and endometrial thickness in patients with PCOS. Further studies are needed to gain a better understanding of the dosage and timing of this therapy and its potential synergy with other current treatments.

4.
Risk Manag Healthc Policy ; 13: 1007-1014, 2020.
Article in English | MEDLINE | ID: mdl-32801974

ABSTRACT

PURPOSE: Maternal mortality rate (MMR) in Indonesia is still relatively high, at 305 per 100.000 live births (2015). Routine visit to antenatal care is the best way to reduce MMR. Inspite of this, the number of antenatal care visits among pregnant women is still low. This study aimed to measure the influence of behavioral ecological factors with the compliance of pregnant women to visit antenatal care. PATIENTS AND METHODS: Study population was pregnant women living in Dumai City, Indonesia. This study was a quantitative research design with a cross-sectional. We used the cluster system to select participants. A total of 369 subjects participated with a gestation age between >12 until 40 weeks. The data were collected by face-to-face interviews using validated questioners. The analysis was done by bivariate analysis using the Spearman correlation test. Multivariate using multiple linear regression. RESULTS: This study showed that factors of the ecological model of behavior were related to antenatal care compliance (p value<0.05) with a coefficient correlation (0.330-0.569). Multivariate analysis showed that all variables associated significantly (adjusted R2; 0.104-0.311). Five variables were dominant; knowledge, cultural beliefs, family support, friend support, and health facilities with adjusted R2= 0.518. CONCLUSION: Five factors in an ecological model of behavior, such as knowledge, cultural beliefs, family support, friend support, and health facilities, proportion (51,8%) of contributing to antenatal care compliance. We recommend a health district program to make services more accessible to pregnant women. Health education programs need to increase the knowledge of pregnant women and families to provide support in antenatal care compliance. Local governments shall improve antenatal care quality by mapping, planning, and evaluating this program.

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