METHODS: In this study, a systematic search was conducted across electronic databases, including PubMed, Scopus, Web of Science, Embase, ScienceDirect, and Google Scholar. The search aimed to identify studies published between December 2000 and August 2022 that reported metabolic syndrome's impact on female sexual dysfunction.

RESULTS: The review included nine studies with a sample size of 1508 obese women. The I2 heterogeneity index indicated high heterogeneity (I2: 97.5). As a result, the random effects method was used to analyze the data. Based on this meta-analysis, the prevalence of sexual dysfunction in women with obesity was reported as 49.7% (95%CI: 35.8-63.5). Furthermore, the review comprised five studies involving 1411 overweight women. The I2 heterogeneity test demonstrated high heterogeneity (I2: 96.6). Consequently, the random effects model was used to analyze the results. According to the meta-analysis, the prevalence of sexual dysfunction in overweight women was 26.9% (95% CI: 13.5-46.5).

METHOD: Researchers conducted a meta-analysis of published data on the prevalence of constipation in pregnancy. The articles, which covered the period 1966 to 2024, were collected by searching Embase, PubMed, Scopus, Science Direct, Wos, and the Google Scholar search engine. The initial search was conducted on July 21, 2024, and the final update was made on August 10, 2024.

RESULTS: Thirteen studies were identified to determine the prevalence of constipation during pregnancy. The results show that the global prevalence of constipation throughout pregnancy is 32.4%, with the first trimester at 21.1%, the second trimester at 34%, and the third trimester at 30.3%.

METHODS: This study was conducted based on the PRISMA 2020 criteria. Initial searching was conducted using MeSH (Medical Subject Headings)-based keywords with no time limitation (by August 1, 2024). Collected papers were transferred to Citation Management Software (EndNote). Duplicate studies were merged and primary and secondary screenings were applied based on the inclusion/exclusion criteria. Validation was considered to find high-quality assessments. Finally, eligible extractable papers were enrolled for data collection. Data was analyzed using Comprehensive Meta-Analysis software (v.2) The random effects model was used in case of I2 index above 50%.In order to investigate the factors affecting the heterogeneity of studies, meta-regression tests were used to examine factors such as sample size and year of study.

RESULTS: One hundred thirty-eight eligible studies with a total sample size of 135,098 pregnant women individuals were selected for data extraction and analysis. The heterogeneity index was found high (I2:98.9) and the random effect model was used for analysis. The egger test revealed the absence of publication bias in collected studies (p:0.088). Thus, the global seroprevalence of Toxoplasma gondii in pregnant women was reported at 36.6% (95%CI:33.7-39.6). the highest prevalence reported based on meta-analysis was reported in South America with 52.8% (95% CI:46.6-59), while only 15 studies were reviewed in this continent, most of which were in Brazil. Therefore, after the continent, the highest prevalence reported was reported in Africa with 46.8% (95% CI:39.5-54.3). Also, the lowest prevalence reported based on meta-analysis was in North America with 19.7% (95% CI:8.4-39.6) and Europe with 24.6% (95% CI:17.8-32.9).

METHODS: This study used Bangladesh Demographic and Health Survey (BDHS), 2017 data. Cross-sectional study design with two-stage stratified sampling method was employed. A sample of ever-married non-pregnant women of reproductive age was selected and multinomial logistic regression was utilised in analysis.

RESULTS: It was found that around half of rural women (45.0%, N = 4,934) and more than half of urban women (60.3%, n = 3,913) were overweight. Nearly one in seven rural women (14.0%, n = 1,537) and 1 in 12 urban women (9.0%, n = 564) were reported as underweight. Our analyses revealed that being overweight was substantially connected with age, husband's occupation, economic status, television access, and division for both urban and rural areas. Women from poor households were significantly more likely to be underweight than women from middle- income households for both urban (P < 0.05; OR: 1.41; 95% CI: 1.03, 1.94) and rural (P < 0.05; OR: 1.23; 95% CI: 1.04, 1.46) areas. Interestingly, women without television access both in urban (P < 0.001; OR = 0.78; 95% CI: 0.67, 0.91) and rural (P < 0.001; OR = 0.75; 95% CI: 0.68, 0.84) areas had an inverse association with overweight/obesity compared to women with television access. In both areas, women in Sylhet and Mymensingh had higher likelihood of being underweight than Barisal division. Additionally, in both residential zones, women in Sylhet had lower likelihood of being overweight than Barisal division.