259 research outputs found

    Menarche age in Iran: A meta-analysis

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    ABSTRACT Background: Research shows that the age at menarche, as an essential element in the reproductive health of women, had been decreasing in the 19 th and 20 th centuries, and shows a huge variation across different countries. There are numerous studies performed in Iran reporting a range of age at menarche. Thus, this meta-analysis aimed to determine the overall mean age at menarche of the girls in Iran. Materials and Methods: All relevant studies were reviewed using sensitive and standard keywords in the databases from 1950 to 2013. Two raters verifi ed a total of 1088 articles based on the inclusion criteria of this study. Forty-seven studies were selected for this meta-analysis. Cochran test was used for samples' homogeneity (Tau-square). The mean age at menarche of the girls in Iran with 95% confi dence interval (CI) from the random effects was reported. Results: The homogeneity assumption for the 47 reviewed studies was attained (Tau-square = 0.00). The mean (95% CI) menarche age of Iranian girls from the random effects was 12.81 (95% CI: 12.56-13.06) years. Conclusions: The results of this study showed that mean age at menarche was less than that of some European developed countries such as Switzerland, Sweden, and Denmark, more than that reported in some countries such as Greece and Italy, and similar to the values obtained in the United States of America and Colombia. Lower age at menarche in Iran may be largely attributed to the changes in lifestyle and diet of the children

    Examining the effect of The Leventhal Self-Regulatory Model on Sexual Satisfaction for Women with Breast Cancer: A Randomized Controlled Trial

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    Purpose: The main goal of this study was to investigate whether the Self-Regulation Model could improve sexual satisfaction for women diagnosed with breast cancer. Methods: Adult women diagnosed with breast cancer were recruited from a hospital in Qazvin, Iran. Participants were randomly assigned to either an intervention group (n = 40) or a control group (n = 40). All participants were administered a demographic questionnaire and an Index of Sexual Satisfaction (ISS) pre-intervention, immediately post-intervention, and 1, 2, and 3 months following the intervention. The control group completed the assessments along the same time line as the intervention group. Women in the experimental group were provided three sessions of a psychological individual intervention which included psychoeducation regarding their diagnosis and personalized intervention strategies to improve their overall sexual satisfaction with sexual intercourse. Each intervention took between 60 to 90 minutes to administer. Results: The experimental and control group participants were well balance in demographic characteristics and sexual satisfaction scores before the intervention. Interestingly, the intervention group showed a positive increasing trend in the sexual satisfaction scores over time but the controls had a negative trend (p < 0.05). There were also statistical differences in the sexual satisfaction scores at each month (p < 0.05) adjusted for baseline score and relevant demographical variables showing a demonstrated longstanding effects with a significant increase in sexual satisfaction over time.Conclusion: Providing a psychoeducational based intervention provided an increase of sexual satisfaction during intercourse for women diagnosed with breast cancer. The2 psychoeducation based intervention provided an opportunity for participants to dispel common myths regarding their disease and obtain new strategies and skills to improve their sexual satisfaction from intercourse with their partners. Keywords: Breast Cancer, Sexual Satisfaction, Self-Regulation Mode

    Irregular Meal Timing Is Associated with Helicobacter pylori

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    Background Helicobacter pylori (HP) is associated with chronic gastritis and gastric cancer, and more than half of the world’s population is chronically infected. The aim of this retrospective study was to investigate whether an irregular meal pattern is associated with increased risk of gastritis and HP infection. Methods The study involved 323 subjects, divided into three groups: subjects with HP infection and gastritis, with gastritis, and a control group. Subjects were interviewed on eating habits and meal timing. Multivariate logistic regression was used to compare groups. Adjusted odds ratios (OR) were derived controlling for gender, age, stress and probiotic consumption. Results Subjects who deviated from their regular meals by 2 hours or more had a significantly higher incidence of HP infection with gastritis (adjusted OR= 13.3, 95% CI 5.3–33.3, p<0.001) and gastritis (adjusted OR=6.1, 95% CI 2.5–15.0, p<0.001). Subjects who deviated their meals by 2 hours or more, twice or more per week, had an adjusted OR of 6.3 and 3.5 of acquiring HP infection with gastritis (95% CI 2.6–15.2, p<0.001) and gastritis (95% CI 1.5–8.5, p<0.001) respectively. Conclusion Frequent deviation in meal timing over a prolonged period appears associated with increased risk of developing HP infection and gastritis

    A healthy eating index to measure diet quality in pregnant women in Singapore: a cross-sectional study

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    10.1186/s40795-015-0029-3BMC Nutrition1391-11GUSTO (Growing up towards Healthy Outcomes

    Proof-of-concept for an automatable mortality prediction scoring in hospitalised older adults

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    IntroductionIt is challenging to prognosticate hospitalised older adults. Delayed recognition of end-of-life leads to failure in delivering appropriate palliative care and increases healthcare utilisation. Most mortality prediction tools specific for older adults require additional manual input, resulting in poor uptake. By leveraging on electronic health records, we aim to create an automatable mortality prediction tool for hospitalised older adults.MethodsWe retrospectively reviewed electronic records of general medicine patients ≥75 years at a tertiary hospital between April–September 2021. Demographics, comorbidities, ICD-codes, age-adjusted Charlson Comorbidity Index (CCI), Hospital Frailty Risk Score, mortality and resource utilization were collected. We defined early deaths, late deaths and survivors as patients who died within 30 days, 1 year, and lived beyond 1 year of admission, respectively. Multivariate logistic regression analyses were adjusted for age, gender, race, frailty, and CCI. The final prediction model was created using a stepwise logistic regression.ResultsOf 1,224 patients, 168 (13.7%) died early and 370 (30.2%) died late. From adjusted multivariate regression, risk of early death was significantly associated with ≥85 years, intermediate or high frail risk, CCI &gt; 6, cardiovascular risk factors, AMI and pneumonia. For late death, risk factors included ≥85 years, intermediate frail risk, CCI &gt;6, delirium, diabetes, AMI and pneumonia. Our mortality prediction tool which scores 1 point each for age, pneumonia and AMI had an AUC of 0.752 for early death and 0.691 for late death.ConclusionOur mortality prediction model is a proof-of-concept demonstrating the potential for automated medical alerts to guide physicians towards personalised care for hospitalised older adults
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