Association between dietary insulin index and postmenopausal osteoporosis in Iranian women: a case-control study.

BACKGROUND: The relationship between the dietary insulin index (DII) and the disease's risk is unknown, despite the fact that hyperinsulinemia is presumed to contribute to osteoporosis. The insulin response of various diets determines the DII. This study aimed to investigate the connection between postmenopausal Iranian women's adherence to a diet with a higher insulinemic potential and osteoporosis. METHODS: A total of 380 postmenopausal women were included in the current case-control study. A 168-item food frequency questionnaire (FFQ) with established validity and reliability was used to evaluate individuals' daily calorie intake. The standard formula was employed to determine the dietary insulin load of each product. Subsequently, the calculation of DII was performed by dividing the dietary insulin load by the total energy consumed for each individual. In order to investigate the relationship between osteoporosis and DII, logistic regression was implemented. RESULTS: The results of the current study demonstrated a substantial inverse relationship between osteoporosis and the DII, even after accounting for confounding variables (OR = 0.927; 95% CI = 0.888-0.967). The mean scores of DII (P < 0.001) was significantly higher in control group (36.82 ± 8.98) compared to the case group (33.53 ± 6.28). CONCLUSIONS: Our findings suggest that keeping a diet high in insulin index and low in foods that are insulinogenic may improve bone mass density. Consequently, it may be essential for postmenopausal women to consume nutrients that stimulate insulin production in order to prevent osteoporosis.

The quality of life of men experiencing infertility: a systematic review.

BACKGROUND: Men experiencing infertility encounter numerous problems at the individual, family, and social levels as well as quality of life (QOL). This study was designed to investigate the QOL of men experiencing infertility through a systematic review. MATERIALS AND METHODS: This systematic review was conducted without any time limitation (Retrieval date: July 1, 2023) in international databases such as Scopus, Web of Science, PubMed, and Google Scholar. The search was performed by two reviewers separately using keywords such as QOL, infertility, and men. Studies were selected based on inclusion and exclusion criteria. The quality of the articles were evaluated based on the Newcastle-Ottawa Scale. In the initial search, 308 studies were reviewed, and after removing duplicates and checking the title and abstract, the full text of 87 studies were evaluated. RESULTS: Finally, 24 studies were included in the final review based on the research objectives. Based on the results, men's QOL scores in different studies varied from 55.15 ± 13.52 to 91.45 ± 13.66%. Of the total reviewed articles, the lowest and highest scores were related to mental health problems and physical dimensions, respectively. CONCLUSION: The reported findings vary across various studies conducted in different countries. Analysis of the factors affecting these differences is necessary, and it is recommended to design a standard tool for assessing the quality of life of infertile men. Given the importance of the QOL in men experiencing infertility, it is crucial to consider it in the health system. Moreover, a plan should be designed, implemented and evaluated according to each country's contex to improve the quality of life of infertile men.

Outcomes of a homestead food production program on nutritional knowledge, dietary diversity, food security and empowerment of rural women in Tehran province, Iran.

BACKGROUND: Food and nutrition insecurity is a major health issue in developing countries. Homestead food production (HFP) programs are strategies for improving food and nutrition security of a country. Iran implemented a HFP program entitled "Nutrition Improvement of Rural and Nomadic Women" in its villages for a five-year period from 2017. The current study assessed the outcomes of this mentioned program and its determinants among rural women in Tehran province. METHODS: The population of this cross-sectional study comprised a group covered by the program (n = 143) and a non-covered group (n = 160). The participants were selected randomly from 32 villages of five counties in Tehran province. Data was collected using five questionnaires: (1) General information, (2) Women's empowerment, (3) Nutritional knowledge, (4) Dietary diversity, and (5) Household Food Insecurity Access Scale (HFIAS). Data was analyzed using the IBM SPSS version 21 and the IBM Amos SPSS version 22 software. RESULTS: The results of the study showed no significant improvement in the expected indicators, such as frequency of home gardening, nutritional knowledge, dietary diversity, women's empowerment, and household food insecurity status among women covered by the program (p > 0.05). The structural equation modelling (SEM) results indicated that women's empowerment from the dimension of decision-making power (r = 0.151) and nutritional knowledge (r = 0.135) were the significant positive predictors of dietary diversity (p < 0.05), while household food insecurity predicted it negatively (r=-0.138) (p < 0.05). CONCLUSION: Because the current evaluated program has not been able to improve the expected indicators, modification of the program implementation may be needed, such as: addressing the probable barriers and challenges and strengthening the facilities in the covered villages. The current study presents a model of the dietary diversity predictors for consideration in redesigning or enhancing the program.

Identifying Risk Indicators of Cardiovascular Disease in Fasa Cohort Study (FACS): An Application of Generalized Linear Mixed-Model Tree.

BACKGROUND: Today, cardiovascular disease (CVD) is the most important cause of death around the world. In this study, our main aim was to predict CVD using some of the most important indicators of this disease and present a tree-based statistical framework for detecting CVD patients according to these indicators. METHODS: We used data from the baseline phase of the Fasa Cohort Study (FACS). The outcome variable was the presence of CVD. The ordinary Tree and generalized linear mixed models (GLMM) were fitted to the data and their predictive power for detecting CVD was compared with the obtained results from the GLMM tree. Statistical analysis was performed using the RStudio software. RESULTS: Data of 9499 participants aged 35‒70 years were analyzed. The results of the multivariable mixed-effects logistic regression model revealed that participants' age, total cholesterol, marital status, smoking status, glucose, history of cardiac disease or myocardial infarction (MI) in first- and second-degree relatives, and presence of other diseases (like hypertension, depression, chronic headaches, and thyroid disease) were significantly related to the presence of CVD (P<0.05). Fitting the ordinary tree, GLMM, and GLMM tree resulted in area under the curve (AUC) values of 0.58 (0.56, 0.61), 0.81 (0.77, 0.84), and 0.80 (0.76, 0.83), respectively, among the study population. In addition, the tree model had the best specificity at 81% but the lowest sensitivity at 65% compared to the other models. CONCLUSION: Given the superior performance of the GLMM tree compared with the standard tree and the lack of significant difference with the GLMM, using this model is suggested due to its simpler interpretation and fewer assumptions. Using updated statistical models for more accurate CVD prediction can result in more precise frameworks to aid in proactive patient detection planning.

Improving the reproductive health literacy of couples on the verge of marriage through the FOCUS-PDCA model: Mixed-method study.

Background & Aims: Education and counseling during marriage is an opportunity to raise some issues needed by couples on the verge of marriage. This study was conducted with the aim of improving reproductive and sexual health literacy of couples on the verge of marriage. Methods: This study was a mixed-methods participatory action research conducted based on the Find, Organize, Clarify, Understand, Select-Plan, Do, Check, Act (FOCUS-PDCA) model in nine steps during 2019-2020 in the city of Bandar Abbas. The Reproductive Health Literacy Scale and the Service Quality (SERVQUAL) Questionnaire were used to evaluate the interventions. Data were analyzed by SPSS version 26. A significance level of less than 0.05 was considered. Results: The mean age of women and men participating in the quantitative part of the study was 21 ± 5 and 25.84 ± 3.9 years, respectively, which was similar to their counterparts in this part of the study, and the difference in the mean scores of reproductive health literacy before and after the changes in the program showed a significant difference (p > 0.001). The study results showed that, except for the understanding dimension, most participants were at an insufficient level in other dimensions of reproductive health literacy. The result of measuring the satisfaction of service recipients indicated good satisfaction in the two dimensions of warranty and accountability, and there was a gap in empathy, assurance, and tangibility dimensions, which the biggest gap was related to the empathy dimension. Conclusion: The changes made in improving the reproductive health literacy of couples were effective, which can be taken into consideration based on the added items in the current program of providing educational services in marriage preparation classes for couples.