Age at natural menopause and its determinants in female population of Kharameh cohort study: Comparison of regression, conditional tree and forests.

BACKGROUND: Natural menopause is defined as the permanent cessation of menstruation that occurs after 12 consecutive months of amenorrhea without any obvious pathological or physiological cause. The age of this phenomenon has been reported to be associated with several health outcomes. OBJECTIVES: This study aimed to estimate the Age at Natural Menopause (ANM) and to identify reproductive and demographic factors affecting ANM. METHODS: This cross-sectional, population-based study was conducted on 2517 post-menopausal women aged 40-70 years participating in the first phase of the PERSIAN cohort study of Kharameh, Iran, during 2014-2017. To more accurately detect the determinants of ANM, we applied multiple linear regression beside some machine learning algorithms including conditional tree, conditional forest, and random forest. Then, the fitness of these methods was compared using Mean Squared Error (MSE) and Pearson correlation coefficient. RESULTS: The mean±SD of ANM was 48.95±6.13. Both applied forests provided more accurate results and identified more predictors. However, according to the final comparison, the conditional forest was the most accurate method which recognized that more pregnancies, longer breastfeeding, Fars ethnicity, and urbanization have the greatest impact on later ANM. CONCLUSIONS: This study found a wide range of reproductive and demographic factors affecting ANM. Considering our findings in decision-making can reduce the complications related to this phenomenon and, consequently, improve the quality of life of post-menopausal women.

Age at natural menopause and development of chronic diseases in the female population of Kharameh, Iran: A historical cohort study.

Background and Aims: Declines in estradiol levels after menopause have been reported to be associated with several health outcomes. This study aimed to determine the effect of age at natural menopause (ANM) on some of the most common chronic diseases. Methods: This historical cohort study was performed on 2636 postmenopausal women aged 40-70 years participating in phase one of the PERSIAN cohort study in Kharameh, Iran, during 2015-2017. The effect of early (<45 years), intermediate (45-53 years), and late menopause (>53 years) on chronic diseases such as hypertension, diabetes, ischemic heart diseases, stroke, thyroid diseases, and depression was assessed using classic logistic regression for diseases with an incidence rate of more than 10% and Firth's logistic regression for diseases with an incidence of less than this amount. Results: The mean age of women was 53.48 ± 8.59. Respectively, early and intermediate menopause was associated with ischemic heart disease (odds ratio [OR = 1.61, 95% confidence interval [CI]: 1.08-2.42; p = 0.020), (OR = 1.57, 95% CI: 1.13-2.21; p = 0.008) and thyroid diseases (OR = 3.10, 95% CI: 1.64-6.24; p < 0.001), (OR = 1.83, 95% CI: 1.02-3.57; p = 0.042). furthermore, early menopause was a risk factor for diabetes (OR = 1.46, 95% CI: 1.07-2.00; p = 0.018), depression (OR = 4.79, 95% CI: 2.20-11.79; p = <0.001) and stroke (OR = 3.00, 95% CI: 1.08-9.32; p = 0.034). Conclusions: In this study, women with diabetes, ischemic heart diseases, stroke, thyroid disorders, and depression had a younger ANM compared to their healthy counterparts. Therefore, applying appropriate strategies to postpone the age of menopause, can reduce the incidence of these types of chronic diseases.

Prediction of the burden of road traffic injuries in Iran by 2030: Prevalence, death, and disability-adjusted life years.

PURPOSE: Road traffic accidents pose a global challenge with substantial human and economic costs. Iran experiences a high incidence of road traffic injuries, leading to a significant burden on society. This study aims to predict the future burden of road traffic injuries in Iran until 2030, providing valuable insights for policy-making and interventions to improve road safety and reduce the associated human and economic costs. METHODS: This analytical study utilized time series models, specifically autoregressive integrated moving average (ARIMA) and artificial neural networks (ANNs), to predict the burden of road traffic accidents by analyzing past data to identify patterns and trends in Iran until 2030. The required data related to prevalence, death, and disability-adjusted life years (DALYs) rates were collected from the Institute for Health Metrics and Evaluation database and analyzed using R software and relevant modeling and statistical analysis packages. RESULTS: Both prediction models, ARIMA and ANNs indicate that the prevalence rates (per 100,000) of all road traffic injuries, except for motorcyclist road injuries which have an almost flat trend, remaining at around 430, increase by 2030. Based on estimations of both models, the rates of death and DALYs due to motor vehicle and pedestrian road traffic injuries decrease. For motor vehicle road injuries, estimated trends decrease to approximately 520 DALYs and 10 deaths. Also, for pedestrian road injuries these rates reached approximately 300 DALYs and 6 deaths, according to the models. For cyclists and other road traffic injuries, the predicted DALY rates by the ANN model increase to almost 50 and 8, while predictions conducted by the ARIMA model show a static trend, remaining at 40 and approximately 6.5. Moreover, these rates for the prediction of death rate by the ANN model increased to 0.6 and 0.1, while predictions conducted by the ARIMA model show a static trend, remaining at 0.43 and 0.07. According to the ANN model, the predicted rates of DALY and death for motorcyclists decrease to 100 and approximately 2.7, respectively. On the other hand, predictions made by the ARIMA model show a static trend, with rates remaining at 200 and approximately 3.2, respectively. CONCLUSION: The prevalence of road traffic injuries is predicted to increase, while the death and DALY rates of road traffic injuries show different patterns. Effective intervention programs and safety measures are necessary to prevent and reduce road traffic accidents. Different interventions should be designed and implemented specifically for different groups of pedestrians, cyclists, motorcyclists, and motor vehicle drivers.

Factors associated with late initiation of antiretroviral therapy in Iran's HIV/AIDS surveillance data.

Early initiation of Antiretroviral Treatment (ART) in HIV patients is essential for effectively suppressing the viral load and prognosis. This study utilized National HIV/AIDS Surveillance Data in Iran to identify factors associated factors with the duration to initiate ART. This hybrid cross-sectional historical cohort study was conducted on Iran's National HIV/AIDS Surveillance Data from 2001 to 2019. Sociodemographic characteristics, route of transmission, HIV diagnosis date, and ART initiation date were collected. Multivariable linear and quantile regression models were employed to analyze the duration to initiate ART by considering predictor variables. This study included 17,062 patients (mean age 34.14 ± 10.77 years, 69.49% males). Multivariate quantile regression coefficients varied across different distributions of the dependent variable (i.e., duration to initiate ART) for several independent variables. Generally, male gender, injecting drug use (IDU), and having an HIV-positive spouse were significantly associated with an increased duration to initiate ART (p < 0.05). However, a significant decrease was observed in older patients, those with a university level education, men who had sex with men (MSM), and patients diagnosed after 2016 (p < 0.05). Despite improvements in the duration to initiate ART after implementing the WHO's 2016 program in Iran, various sociodemographic groups were still vulnerable to delayed ART initiation in the region. Therefore, programs including early testing, early ART initiation, active care, educational and cultural interventions, and appropriate incentives are required for these groups.

Factors affecting the economic burden of breast cancer in southern Iran.

BACKGROUND: Breast cancer (BC) is the most common cancer in the world, and is associated with significant economic costs for patients and communities. Therefore, the information on the costs of the disease and the identification of its underlying factors will provide insights into designing effective interventions and reducing the costs. Thus, the present study aimed to identify the factors affecting the economic burden of breast cancer from all medical centers providing diagnostic and treatment services in southern Iran. METHODS: A list of factors affecting the economic burden of breast cancer was obtained based on the effective factors searched in the databases, including PubMed, ProQuest, Scopus, ISI Web of Science, SID, and Magiran, and the opinions of BC cancer specialists. Then, the data on 460 breast cancer patients was collected from March 2020 to March 2022. The relationship between the factors affecting Breast Cancer costs was analyzed using SPSS 13.0 software by the use of multiple regression analysis. RESULTS: The results of the multiple regression analysis showed that stages (P-value < 0.001), being an extreme user (p = 0.025), type of treatment center (P-value < 0.001), income (P-value < 0.001), chemotherapy side effects (P-value < 0.001), and distance to the nearest health center (P-value < 0.001) were important factors affecting the costs of breast cancer patients. CONCLUSIONS: According to the results, encouraging people to undergo annual screenings, increasing insurance coverage, assuring the patients about the desirability and adequacy of the provided medical services, deploying specialists in chemotherapy centers (especially nutritionists) to recommend special diets, and establishing cancer diagnostic and treatment centers in high-population cities could help reduce the costs of breast cancer patients.

Investigating the relationship between liver enzymes and incidence of hypertension: A population-based cohort study in Kharameh, a city in the South of Iran.

Background and Aims: Hypertension and abnormal liver enzymes are common health issues that frequently coexist, and recent research has suggested a possible association between them, warranting further investigation. Therefore, the aim of this study is to explore the relationship between liver enzymes and hypertension. Methods: This prospective cohort study utilized data from the Kharameh cohort study, which is a branch of the Prospective Epidemiological Studies in Iran (PERSIAN) database. The study included 7710 participants aged between 40 and 70 years. Hypertension was defined in accordance with the European guidelines for hypertension management, and the association between liver enzymes and hypertension was modeled and predicted using Firth logistic regression. Results: This study investigated the association between liver enzymes and hypertension risk in a cohort of 7710 individuals aged 40-70 years. The results showed that higher levels of alanine aminotransferase (ALT), gamma glutamyl transferase (GGT), and alkaline phosphatase (ALP) were associated with an increased risk of hypertension, and this relationship remained significant even after adjusting for potential confounding factors. Additionally, separate analyses within age subgroups revealed a significant association between ALP concentration and high blood pressure in certain age ranges. Conclusion: The study demonstrated a significant association between high levels of ALT, GGT, and ALP and an increased risk of hypertension, regardless of other risk factors. These results suggest that monitoring liver enzymes, specifically ALT, GGT, and ALP, could serve as a useful tool to predict hypertension risk and identify individuals who could benefit from early intervention. Overall, these findings underscore the importance of monitoring liver function in preventing and managing hypertension.

COVID-19 Reinfection Rate and Related Risk Factors in Fars Province, Iran: A Retrospective Cohort Study.

Background: Reinfection with Coronavirus Diseases 2019 (COVID-19) has raised remarkable public health concerns globally. Therefore, the present retrospective cohort study intended to investigate COVID-19 reinfection in registered patients of Fars province in Iran from February 2020 to April 2021. Methods: The patients' data, including the COVID-19 infection, symptoms, comorbidities, and demographics, were collected using the Health Information Systems (HISs). The patients were divided into three groups in terms of the duration between the initial infection and reinfection, including 28-44, 45-89, and more than 90 days. Following the univariate analysis, logistic regression was used to investigate the factors effective on COVID-19 reinfection. Results: A total of 213768 patients had a positive Polymerase Chain Reaction (PCR) test. The reinfection rate was 0.97% (2079 patients). Of these re-infected individuals, 14.9%, 18.5%, and 66.6% had their second positive test 28-45, 45-89, and ≥90 days later, respectively. The mean duration between the initial infection and reinfection was 130.56 days (29-370 days). The chance of reinfection was significantly higher in the youths (Odds Ratio (OR)=2.055; P<0.001), men (OR=1.283; P<0.001), urban population (OR=1.313; P<0.001), and healthcare providers (OR=4.453; P<0.001). The patients with chronic pulmonary diseases, chronic kidney diseases, and malignancy were 1.421 (P=0.036), 2.239 (P<0.001), and 3.437 (P<0.001) times, respectively, more likely prone to reinfection. Conclusion: The results of this study showed that there is a higher risk of reinfection in several vulnerable groups including healthcare providers, young individuals, residents of urban areas, men, and individuals with underlying diseases.

Economic burden of breast cancer: a case of Southern Iran.

BACKGROUND: Breast cancer is one of the main causes of death from cancer around the world, imposing a significant economic burden on the families and healthcare system. The present study aimed at determining the economic burden of breast cancer in the patients referred to the medical centers in Fars province in southern Iran in 2021. METHODS: This cross-sectional study is a partial economic evaluation and a cost-of-illness study with a bottom-up and prevalence-based approach, conducted in Fars province in southern Iran in 2021 from the societal perspective. A total of 230 patients were randomly included in the study, and a researcher-made data collection form was used to collect the required data. The data on direct medical costs were collected using the information on patients' medical and financial records. On the other hand, the data on direct non-medical and indirect costs were obtained using self-reports by the patients or their companions. The Excel 2016 software was used to analyze the collected data. RESULTS: The results showed that the annual cost of each breast cancer patient in the studied sample was 11,979.09 USD in 2021. Direct medical costs accounted for the largest share of costs (70.69%, among which the cost of radiotherapy was the highest one. The economic burden of the disease in the country was estimated at 193,090,952 USD. CONCLUSIONS: In general, due to the high prevalence of breast cancer and the chronicity of this disease, its medical costs can impose a heavy economic burden on society, the health system, the insurance system, and patients. Thus, in order to reduce the costs, the following suggestions can be offered: the use of advanced radiotherapy techniques, increasing the insurance coverage of required services, establishing low-cost accommodation centers near medical centers for the patients and their companions, providing specialized medical services for the patients in towns, using the Internet and virtual space to follow up the treatment of the patients, and carrying out free screening programs and tests for faster diagnosis of the infected patients and susceptible or exposed people.

Incidence and risk factors of cardiovascular disease among population aged 40-70 years: a population-based cohort study in the South of Iran.

BACKGROUND: Cardiovascular diseases are the main cause of mortality in the world. This study aimed to estimate the incidence and identify the risk factors of these diseases. METHODS: This prospective cohort study was performed on 9442 individuals aged 40-70 years in Kharameh, a city in the South of Iran, in 2015-2022. The subjects were followed up for 4 years. The demographic information, behavioral habits, biological parameters, and history of some diseases were examined. The density incidence of cardiovascular disease was calculated. The log-rank test was calculated to assess the cardiovascular incidence difference between men and women. Simple and multiple Cox regression with Firth's bias reduction method were used to identify the predictors of cardiovascular disease. RESULTS: The mean ± SD age of the participants was 51.4 ± 8.04 years, and the density incidence was estimated at 1.9 cases per 100,000 person-day. The log-rank test showed that men had a higher risk of cardiovascular disease than women. The Fisher's exact test showed a statistically significant difference between the incidence of cardiovascular diseases in different age groups, education levels, diabetes, and hypertension in men and women. The results of multiple Cox regression revealed that with increasing age, the risk of developing CVDs increased. In addition, the risk of cardiovascular disease is higher in people with kidney disease (HRadj = 3.4, 95% CI 1.3 to 8.7), men (HRadj = 2.3, 95% CI 1.7 to 3.2), individuals with hypertension (HRadj = 1.6, 95% CI 1.3 to 2.1), diabetics (HRadj = 2.3, 95%c CI 1.8 to 2.9), and alcohol consumption (HRadj = 1.5, 95% CI 1.09 to 2.2). CONCLUSIONS: In the present study, diabetes, hypertension, age, male gender, and alcohol consumption were identified as the risk factors for cardiovascular diseases; three variables of diabetes, hypertension and alcohol consumption were among the modifiable risk factors, so if they were removed, the incidence of cardiovascular disease could greatly reduce. Therefore, it is necessary to develop strategies for appropriate interventions to remove these risk factors.

Physical activity and metabolic syndrome: A population base study (forest and tree model algorithms).

BACKGROUND & AIM: Lifestyle changes, prominently low mobility in recent years, have increased the prevalence of metabolic syndrome (MetS), and cardiovascular disease risk. This study aimed to determine the relationship between physical activity and MetS using modern statistical methods in a population-based study. METHODS: The target population included 10,663 people aged 40-70 years in phase 1 of the Persian Kharameh cohort study conducted in 2017. The data used in this study had questions about physical activity, demographic, anthropometrics, blood pressure, and biochemical data. RESULTS: Participants who their activity was within the fourth quarter were 36% less likely to develop MetS than the participants in the first quarter. In the decision-Tree algorithm with all variables, physical activity was significant after gender and comorbidity. With a lack of comorbidities and physical activity less than 2338 Metabolic Equivalent of Task (MET) and age greater than 53 years, the probability was 26.7% for the male population. For the female population, if associated with comorbidities, a history of diabetes in first-degree relatives, or both, the chance of developing MetS was estimated to be 70.4%. In the decision-tree algorithm, 56.0% of the predictions for MetS were due to gender. After gender, the presence of comorbidities, age, occupation, family history of diabetes, place of residence, and physical activity was discovered as the essential variables in predicting and identifying factors associated with MetS, respectively. CONCLUSION: Modern statistical methods can be used in similar research due to better presentation of results in applied clinical laws. An essential approach for treating the syndrome and preventing its complications is a lifestyle change, including educating about physical activity and promoting it.

Association Between Neutrophil Density and Survival in Trauma Patients Admitted to the Intensive Care Unit; a Retrospective Cohort Study.

Introduction: Altered immune responses, in particular neutrophil changes, are perceived to play a key role in immune responses to trauma. This study aimed to evaluate the association of neutrophil changes with patients' survival in severe multiple trauma cases. Methods: The current retrospective cohort study was conducted using data from patients admitted in the intensive care unit (ICU) of a trauma center in Shiraz, Iran, between 2016 and 2021. Patients were divided into three groups (i.e., normal, neutropenia, and neutrophilia) based on neutrophil count at the time of ICU admission, and the association of neutrophil count with in-hospital mortality was analyzed. Results: 2176 patients with the mean age of 37.90 ± 18.57 years were evaluated (84.04% male). The median trauma severity based on injury severity score (ISS) in this series was 9 (4 -17). Patients were divided in to three groups of neutrophilia (n = 1805), normal (n = 357), and neutropenia (n = 14). There were not any significant differences between groups regarding age distribution (p = 0.634), gender (p = 0.544), and trauma severity (p = 0.197). The median survival times for the normal, neutropenia, and neutrophilia groups were 49 (IQR: 33 -47) days, 51 (IQR: 8- 51) days, and 38 (IQR: 26 - 52) days, respectively (p = 0.346). The log-rank test showed a statistically significant difference between the three groups adjustment for ISS (p ≤ 0.001). For each unit increase in ISS, the hazard ratio increased by 2%. In ISS 9-17, the hazard ratio increased by 11% compared to ISS<4. Also, in ISS>17, the hazard ratio increased by 76% compared to ISS<4 in ICU-hospitalized patients. Conclusions: In general, the findings of the present study showed that the survival rate of patients in the normal group after ISS adjustment was higher than the other two groups. Also, the Cox model showed that the mortality risk ratio in the neutropenia group was 15 times higher than the normal group.

The effect of prehypertension and hypertension on the incidence of cardiovascular disease: A population-based cohort study in Kharameh, a city in the South of Iran.

Background and Aim: Prehypertension and hypertension are important risk factors for cardiovascular diseases. This study was carried out to evaluate the effect of prehypertension and hypertension on the development of cardiovascular diseases. Methods: This prospective cohort study was performed on 9442 people aged 40-70 in Kharameh, southern Iran. Individuals were divided into three groups: normal blood pressure (N = 5009), prehypertension (N = 2166), and hypertension (N = 2267). In this study, demographic data, disease histories, behavioral habits, and biological parameters were studied. At first, the incidence density was calculated. Then Firth's Cox regression models were used to investigate the association between prehypertension and hypertension with the incidence of cardiovascular diseases. Results: The incidence density in the three groups of individuals with normal blood pressure, prehypertension, and hypertension was 1.33, 2.02, and 3.29 cases per 100,000 person-days, respectively. The results of multiple Firth's Cox regression by controlling all factors showed that the risk of occurrence of cardiovascular disease in people with prehypertension was 1.33 times (hazard ratio [HR] = 1.32, 95% confidence interval [CI]: 1.01-1.73, p = 0.03) and those with hypertension were 1.85 times higher (HR = 1.77, 95% CI: 1.38-2.29, p < 0.0001) than the individuals with normal blood. Conclusion: Prehypertension and hypertension have played an independent role in the risk for developing cardiovascular diseases. Therefore, early detection of individuals with these factors and control of other risk factors in them can contribute to reducing the occurrence of cardiovascular diseases.

Duration of delayed diagnosis in HIV/AIDS patients in Iran: a CD4 depletion model analysis.

Objective: Delayed diagnosis of HIV can lead to an inappropriate response to antiretroviral therapy (ART), rapid progression of the disease, and death. It can also carry harmful effects on public health due to the increment of transmission. This study aimed to estimate the duration of delayed diagnosis (DDD) in HIV patients in Iran. Methods: This hybrid cross-sectional cohort study was conducted on the national HIV surveillance system database (HSSD). Linear mixed effect models with random intercept, random slope, and both were used to estimate the parameters required for the CD4 depletion model to determine the best-fitted model for DDD, stratified by the route of transmission, gender, and age group. Results: The DDD was estimated in 11,373 patients including 4,762 (41.87%) injection drug users (IDUs), 512 (4.5%) men who had sexual contact with men (MSM), 3,762 (33.08%) patients with heterosexual contacts, and 2,337 (20.55%) patients who were infected through other routes of HIV transmission. The total mean DDD was 8.41 ± 5.97 years. The mean DDD was 7.24 ± 0.08 and 9.43 ± 6.83 years in male and female IDUs, respectively. In the heterosexual contact group, DDD was obtained as 8.60 ± 6.43 years in male patients and 9.49 ± 7.17 years in female patients. It was also estimated as 9.37 ± 7.30 years in the MSM group. Furthermore, patients infected through other transmission routes were found with a DDD of 7.90 ± 6.74 years for male patients and a DDD of 7.87 ± 5.87 years for female patients. Conclusion: A simple CD4 depletion model analysis is represented, which incorporates a pre-estimation step to determine the best-fitted linear mixed model for calculating the parameters required for the CD4 depletion model. Considering such a noticeably high HIV diagnostic delay, especially in older adults, MSM, and heterosexual contact groups, regular periodic screening is required to reduce the DDD.

Prediction prolonged mechanical ventilation in trauma patients of the intensive care unit according to initial medical factors: a machine learning approach.

The goal of this study was to develop a predictive machine learning model to predict the risk of prolonged mechanical ventilation (PMV) in patients admitted to the intensive care unit (ICU), with a focus on laboratory and Arterial Blood Gas (ABG) data. This retrospective cohort study included ICU patients admitted to Rajaei Hospital in Shiraz between 2016 and March 20, 2022. All adult patients requiring mechanical ventilation and seeking ICU admission had their data analyzed. Six models were created in this study using five machine learning models (PMV more than 3, 5, 7, 10, 14, and 23 days). Patients' demographic characteristics, Apache II, laboratory information, ABG, and comorbidity were predictors. This study used Logistic regression (LR), artificial neural networks (ANN), support vector machines (SVM), random forest (RF), and C.5 decision tree (C.5 DT) to predict PMV. The study enrolled 1138 eligible patients, excluding brain-dead patients and those without mechanical ventilation or a tracheostomy. The model PMV > 14 days showed the best performance (Accuracy: 83.63-98.54). The essential ABG variables in our two optimal models (artificial neural network and decision tree) in the PMV > 14 models include FiO2, paCO2, and paO2. This study provides evidence that machine learning methods outperform traditional methods and offer a perspective for achieving a consensus definition of PMV. It also introduces ABG and laboratory information as the two most important variables for predicting PMV. Therefore, there is significant value in deploying such models in clinical practice and making them accessible to clinicians to support their decision-making.

The effect of a social cognitive theory-based educational intervention on nonsuicidal self-injury prevention in high school students: A randomized educational intervention trial.

INTRODUCTION: Nonsuicidal self-injury (NSSI) in adolescents is a growing public health concern, demanding preventive measures, particularly among high school students. Based on social cognitive theory (SCT), self-efficacy coupled with outcome expectations, social support, self-regulation, and behavioral intention, determine the likelihood of engaging in such a behavior. Thus, the present study was to investigate the effect of a SCT-based educational intervention on NSSI prevention in female high school students. METHODS: This randomized educational intervention trial was conducted on 191 female high school students, aged 15-17 years (15.95 ± 0.59) (viz. 99 individuals in intervention group and 92 controls). Intervention group attended five SCT-based educational intervention sessions concerning NSSI prevention. Data were then collected by three self-administered questionnaires. The first questionnaire was to measure demographic variables and the second one, intermediate outcome measure, was implemented to evaluate SCT constructs. The third questionnaire also measured NSSI (final outcome measure). Data were analyzed using SPSS software v.24. RESULTS: After controlling the pretest scores, the repeated-measure multivariate analysis of covariance revealed a significant time and group interaction in multivariate (F = 154.8, p < .001) and univariate analysis, which is in favor of the effectiveness of educational intervention on changing the mean scores of NSSI and all SCT constructs. SCT constructs explained 41% of the variance in conforming intention for NSSI prevention (p < .001). CONCLUSION: The study findings were in favor of effectiveness of an SCT-based educational intervention in intention of preventing NSSI.

A population-based study of obesity and its complications in southern Islamic Republic of Iran.

Background: General and central obesity are important risk factors for chronic diseases and health-related outcomes. Aims: We determined the prevalence of obesity and related complications among individuals aged 40-70 years in Kherameh, southern Islamic Republic of Iran. Methods: This cross-sectional study included 10 663 people aged 40-70 years who participated in the first phase of the Kherameh cohort study. Data were collected on demographic characteristics, history of chronic diseases, family history of diseases, and various clinical measures. We used multiple logistic regression analysis to establish the relationships between general and central obesity, and related complications. Results: Of the 10 663 participants, 17.9% had general obesity and 73.5% had central obesity. In people with general obesity, the odds of having the non-alcoholic fatty liver disease and cardiovascular disease were 3.10 times and 1.27 times higher than in individuals with normal weight, respectively. People with central obesity had higher odds of having other components of metabolic syndrome such as hypertension (OR: 2.87; 95% CI: 2.53-3.26), high triglyceride levels (OR: 1.71; 95% CI: 1.54-1.89), and low high-density lipoprotein cholesterol levels (OR: 1.53; 95% CI: 1.37-1.71) than those without central obesity. Conclusions: The study showed a high prevalence of general and central obesity and health-related effects, and its association with several comorbidities. Given the level of obesity-related complications found, primary and secondary prevention interventions are needed. The results may help health policymakers establish effective interventions to control obesity and related complications.

A health communication campaign for prevention of osteoporosis in rural elderly women.

BACKGROUND: Osteoporosis, as the most common metabolic disease and the leading cause of death among older people, affects more than 200 million women throughout the world. This study aimed to evaluate the effect of a health communication campaign on knowledge, attitude, and practice of older women towards prevention and control of osteoporosis. METHODS: In this multi-stage mixed methods study, 30 days' health communication campaign for prevention of osteoporosis was conducted on 60- 75-year-old women, in rural areas of Fasa, Iran. Subjects were divided into two groups, control (n = 103) and intervention (n = 98). Data were collected using a researcher-made questionnaire and analyzed by SPSS 25.0. The significance level was set at < 0.05. RESULTS: Inter-group group analysis revealed that the mean scores of knowledge, attitude, and practice were not significantly different between the two groups before the intervention, but after the intervention, unlike the behavior (P = 0.569), mean scores of knowledge (p < 0.001) and attitude (p < 0.001) of the intervention group were significantly more than the control group. Intra-group comparisons showed that, unlike the control group, the mean scores of knowledge (p < 0.001), attitudes (p < 0.001), and behavior (P < 0.001) increased significantly in the intervention group. CONCLUSIONS: Health communication campaign is an effective way to change the knowledge and attitude and to a lesser extent the practice of the eldery toward prevention and control of osteoporosis.

Development of an Ergonomic, Portable, Climber-Propelled Date Tree Climbing Device.

In the most of main date fruit producer regions, including Iran, date palm crown access operation is still performed traditionally. The date plantation workers need to climb date trees. This may cause an unsafe condition, which increases the risk of fall from height. It is also associated with ergonomic and health problems. The present study aimed to develop a date tree climber device (DTCD) covering all aspects of safety, ergonomics and efficiency. A primary model of the DTCD was structured and modified based on a review of existing devices, a field investigation and an unstructured interview with 20 farmworkers. Participants rated their comfort, perceived pain and discomfort as well as exertion levels when using the DTCD compared to a traditional device (Parband). In total, eight key elements were suggested for the desired device. More than 60% of the participants reported that the DTCD was comfortable/very comfortable compared to Parband. Additionally, DTCD could significantly reduce the pain and discomfort of the back (p < .001), knees (p = .001) and Ankles/feet (p = .01). However, no significant difference was found between devices when the physical exertion was compared through Borg's RPE scale and heart rate analysis. The results of regression analysis showed that the DTCD users perceived lower exertion as the body weight increased (ß = -0.18, p = .013). The signs of musculoskeletal disorders, pain and discomfort were strongly reduced among DTCD users and safety aspects improved, generally by reducing discomfort and physical exertion.