Farnoosh Zarabadi Poor, Fatemeh Mohammai, Zahra Hosseinkhani, Seyedeh Ameneh Motalebi,
Volume 18, Issue 3 (12-2022)
Abstract
Background and Objectives: Fear of COVID-19 is common among older adults and negatively impacts on their physical and mental health. Self-regulation is an essential factor for controlling or managing excitement and anxiety. So, this study aimed to determine the relationship between fear of COVID-19 and death anxiety with the moderator role of self-regulation among the elderly residing in Qazvin.
Methods: This descriptive and cross-sectional study was performed on 430 elderly aged 60 and over living in Qazvin in 2021. Samples were selected by cluster sampling method. The demographic checklist, Templer death anxiety scale, fear of COVID-19 questionnaire, and Self-Regulation Inventory were used for collecting the data. The data were analyzed using the Path Analyze test.
Results: The mean age of the elder participants in the study was 66.88 ± 6.40 years old. The results showed a significant and positive relationship between fear of COVID-19 and death anxiety (β=0.60, P<0.001) and an inverse association between fear of COVID-19 (β=-0.24, P=0.021) and death anxiety (β=-0.10, P=0.021) with self-regulation. Furthermore, the results of the Path analysis confirmed the moderator role of self-regulation in the association between fear of Covid-19 and death anxiety among the elderly residing in Qazvin, Iran.
Conclusion: Given the mediator role of self-regulation in the relationship between fear of COVID-19 and death anxiety, it is suggested to use teaching strategies to the older adults to improve self-regulation to control and mitigate the negative impacts of the fear of COVID-19 in this vulnerable population.
Nafiseh Salehnia, Abbas Assari Arani, Hossein Sadeghi Saghdel, Alireza Olyaeemanesh,
Volume 18, Issue 4 (3-2023)
Abstract
Background and Objectives: Health promotion is a crucial task for policymakers. Therefore, this study aims to identify the key factors that determine population health in Iran and illustrate the causal relationships between these factors.
Methods: The research was conducted using a mixed-method approach in three stages. First, macro social determinants of health were identified by analyzing available resources from 2000 to 2019. Screening of factors was carried out through the fuzzy Delphi method and a survey involving 15 experts. Finally, the causal relationships between the social determinants of health were depicted using a fuzzy cognitive map.
Results: Initially, 96 health determinants were identified at the national and global levels. After the screening, 8 factors that had less significance in population health were excluded. In terms of causal relationships, the economic system emerged as the most important and influential factor, with a centrality degree of 21.06 and an out-degree of 10.91. Following that, governance and policy-making, as well as national policies, were ranked with centrality degrees of 20.25 and 20.19, respectively.
Conclusion: Irrespective of the causal relationships, the health system holds the utmost importance in population health. However, when considering the causal relationships, the economic system takes precedence as the most critical factor, while the health system does not rank among the top three factors. Therefore, the analysis of fuzzy cognitive maps assists policymakers in understanding priorities and the interconnectedness between sectors in developing and implementing health-oriented policies across all sectors, enabling the adoption of the most effective policies.
Fatemeh Rangraz Jeddi, Ehsan Nabovati, Afsaneh Vazin, Azar Houshmand, Reza Abbasi,
Volume 19, Issue 1 (6-2023)
Abstract
Background and Objectives: Antibiotics are extensively utilized and constitute a significant portion of hospital drug expenses, posing challenges due to their overuse. Among hospital wards, the intensive care unit (ICU) is a major consumer of antibiotics. This study aimed to assess the antibiotic prescription rates within the ICU wards of Namazi Hospital in Shiraz.
Methods: We retrieved and analyzed electronic prescriptions from all 16 ICU wards at Namazi Hospital in 2020. The data were collected using a checklist that included patient demographics, prescription date, and the number of prescribed antibiotics. The relationship between antibiotic groups and patient demographics was assessed using Chi-square test.
Results: Out of 381,003 electronic prescriptions, 67,002 (17.6%) included at least one antibiotic. Additionally, 5,056 patients (98.9%) received antibiotics. Analysis of the prescriptions revealed that most antibiotics were prescribed for male patients and those under 15 years old (P<0.05). Patients admitted during the winter also received the highest rate of antibiotics (P<0.05). The most commonly prescribed antibiotic groups were beta-lactam and chloramphenicols (32.89%), cephalosporins (19.28%), and glycopeptides (18%).
Conclusion: While less than one-fifth of prescriptions included antibiotics, nearly all patients received them. It is advisable for future studies to evaluate antibiotic prescribing based on prescriptions to provide hospital managers with more precise statistics, enabling appropriate actions for antibiotic stewardship.
Mohammad Sasanipour, Saeedeh Shahbazin,
Volume 19, Issue 1 (6-2023)
Abstract
Background and Objectives: This research aims to investigate the components of Rowe and Kahn's successful aging model, encompassing the absence of disease and disability, high cognitive and physical performance, and active participation in life among the elderly population in Tehran in 2020, considering both genders.
Methods: This study utilized a survey approach, involving a sample of 637 individuals aged 60 years and above in Tehran. The sample was selected using a multi-stage cluster sampling method from 22 districts of Tehran, considering the elderly population in each district. Confirmatory structural equation modeling (SEM) was employed to assess whether Rowe and Kahn's model aligns with the collected data.
Results: The study's findings demonstrated that Rowe and Kahn's model exhibited a strong statistical fit (p<0.01). Factor loadings in the overall population model and among the two genders were statistically significant and varied. Across the three dimensions of successful aging (avoiding disease and disability, maintaining physical and cognitive functioning, and continuing engagement with life), avoiding disease and disability was the most strongly associated with successful aging, regardless of gender. However, in the other two dimensions, the significance and strength of participation in life and physical and cognitive function varied based on gender.
Conclusion: Programs to support the physical health of the elderly, especially in chronic diseases resulting from lifestyle choice should be developed, and increasing active participation should be a priority, which requires interventions in youth and middle age.
Zahra Aliakbarzadeh Arani, Tahereh Ramezani, Azam Hosseinpour,
Volume 19, Issue 2 (9-2023)
Abstract
Background and Objectives: Considering the documented impact of attitudes towards aging on quality of life, this study aimed to explore hope in life and its association with attitudes towards aging across various age groups in Qom, Iran.
Methods: This cross-sectional study, conducted in 2021-2022, included 83 children (8-15 years old) and 340 adults (16 years old and above) selected from different age groups based on the Statistical Center of Iran's classification. The systematic random sampling method was used, considering the frequency percentage of each group from the 2015 census. Data were collected through a demographic form, Kogan's Attitudes Toward Older People Scale (KAOPS), and Snyder's Hope questionnaire. Statistical analysis was performed using SPSS-24, incorporating Pearson's correlation coefficient, independent sample t-tests, ANOVA, and linear regression.
Results: The mean and standard deviation of hope in life and attitude towards aging were 25.97±5.81 (ranging from 6 to 36) and 137.38±21.65 (ranging from 34 to 238) in the children's group, and 27.54±4.92 (ranging from 8 to 32) and 154.66±17.30 (ranging from 34 to 238) in the adults' group, respectively. Pearson's correlation coefficient revealed a significant relationship between hope in life and attitude towards aging only in the age groups of 16-24 years (r=0.220, P<0.05) and 25-44 years (r=0.273, P<0.01), while this relationship was not significant in other groups (P>0.05).
Conclusion: Although the relationship between attitude towards aging and hope in life was not strong or significant across all age groups, given the average levels of hope in life across all age groups, promoting positivity and elucidating the positive attributes of aging and the importance of elderly individuals in society can enhance individuals' outlook towards their future life.
Mohammadreza Balooch Hasankhani, Aliakbar Haghdoost, Yunes Jahani,
Volume 19, Issue 2 (9-2023)
Abstract
Background and Objectives: Time trend analysis of factors such as disease and mortality rates is a crucial component of health planning for any community. It allows for a more accurate interpretation of changes over time. This study was conducted to examine the performance of the Joinpoint regression model in analyzing time trends.
Methods: This study aims to first provide a simplified understanding of the Joinpoint regression model and then demonstrate its application on data regarding the 30-year trends of liver cancer mortality due to alcohol consumption in Iran.
Results: The results of the time trend analysis indicate that the age-standardized mortality rate of liver cancer due to alcohol use consumption has decreased by an average of 0.8% per year over the 30-year period in Iran (1990 to 2019). The projections also suggest that this declining trend will continue.
Conclusion: In general, the main advantage of the Joinpoint regression model over other models is its ability to identify periods where significant changes in trends have occurred. Based on the results, the mortality rate of liver cancer due to alcohol use consumption over the 30-year period in Iran can be divided into five periods with different rates of change.
Asal Aghadavodian Jolfaee, Maryam Jahanbakhsh, Mohamad Sattari, Roya Kelishadi,
Volume 19, Issue 3 (12-2023)
Abstract
Background and Objectives: The present research was conducted to predict mental health based on three factors: nutrition, activity, and leisure time, among students in the adolescent age group, using data mining techniques.
Methods: The present analytical study was conducted on 14274 data available in the Caspian 5 database. According to the CRISP-DM method, data mining was done in 6 steps using decision trees, k nearest neighbors, simple Bayesian and random forest techniques in Rapidminer software.
Results: Among the four data mining techniques used to predict the mental health of adolescents based on nutrition, physical activity and leisure time, the random forest technique has the highest accuracy (91.72) and specificity (82.73) and the k-nearest neighbors technique has the highest sensitivity (96.30). In addition, based on random forest techniques, the rule with the highest level of support showed that an adolescent who is in high school, eats breakfast, lunch, and dinner every day, drinks tea and coffee weekly, exercises 2 hours a week at school,also, he has 4 days of physical activity for 30 minutes in the last week, and he goes to school with the service, with 100% confidence has good mental health.
Conclusion: Based on the random forest technique, which has showen the best performance, nutrition has the greatest impact on the mental health of Iranian adolescents. So, it is necessary to think about providing a suitable platform for training parents and adolescents regarding proper nutrition and increasing awareness in the field of adolescent mental health.
Sadaf Yahyaei, Omid Garkaz, Sepideh Mahdavi, Somayeh Ramezani, Mahbobeh Poorheidari,
Volume 19, Issue 3 (12-2023)
Abstract
Background and Objectives: The mobile phone has become an indispensable tool for communication and interactions. This study aimed to investigate the relationship between excessive mobile phone use, depression, and social loneliness among students at Shahroud University of Medical Sciences.
Methods: This descriptive-analytical study, conducted in 2019, employed stratified random sampling to survey 313 students from Shahroud University of Medical Sciences. Data collection involved demographic questions, a harmful mobile phone use scale, and depression scale (Kavaja and Bryden). Collected data were entered into SPSS 18 and analyzed using descriptive and analytical statistics.
Results: The study included 313 participants with an average age of 22.16 ± 3.41 years. Pearson's correlation coefficient revealed a positive correlation between depression scores and various variables, including education level, interest in the field, native status, place of residence, history of taking antidepressants, employment status, financial problems, family life status, father's age, and excessive use of mobile phones. The results of linear regression analysis, as indicated by the coefficient of determination (0.603) demonstrated a high intensity of correlation between factors influencing depression and the actual depression scores.
Conclusion: According to the results of the study, there is a significant relationship between excessive use of mobile phones and depression and social loneliness in students, which requires proper planning for intervention.
Aysan Amrahi Tabieh, Parvin Sarbakhsh, Shamsedin Namjoo, Hossein Akbari, Hamid Allahverdipour,
Volume 19, Issue 4 (3-2024)
Abstract
Background and Objectives: Frailty syndrome significantly impacts the health of older adults, and sleep quality is likely a pertinent clinical factor. Therefore, this study aims to investigate the relationship between sleep quality and sleep duration with frailty syndrome in the older adults of Naqadeh City.
Methods: This cross-sectional study enrolled 347 older adults aged 60 years and above in Naqadeh city in 2020 using 2-stage sampling (first, stratified, and then simple random sampling. Data collection tools included demographic questionnaires, the Edmonton Frail Scale, and the Pittsburgh Sleep Quality Index. Statistical analysis was performed using SPSS25 software.
Results: The study revealed that 30.3% of older adults were frail. Furthermore, a statistically significant correlation was observed between sleep quality and duration with older adults' frailty (r=0.635, p<0.001 and r=-0.170, p<0.001, respectively). Additionally, all frailty domains exhibited a significant relationship with sleep quality, with the most notable associations found in mood, medication use, and cognition domains (r = 0.487, r = 0.397, r = 0.381, respectively).
Conclusion: Probably, the quality and duration of sleep affect the frailty syndrome, so it is necessary to design and implement effective interventions to improve the quality of sleep and ultimately reduce the frailty of older adults, especially in the domains of cognition and mood.
Elahe Faghihifar, Marjan Ajami, Sareh Shakerian,
Volume 19, Issue 4 (3-2024)
Abstract
Background and Objectives: Childhood obesity has become a global challenge today. Many studies have shown the relationship between obesity and socioeconomic factors. Therefore, this study aimed to evaluate socio-economic inequalities with nutritional patterns and obesity in children.
Methods: This study was conducted using the structural analysis methodology on 80 children from 6 to 13 years old, selected randomly from those referred to the health assessment centers of Sonqor and Kolyai, Iran. The body mass index was calculated using the standard method. Nutritional patterns were measured using the 24-hour food recall questionnaire, and socioeconomic status was assessed using related standard questionnaires. The data were analyzed using SPSS 24 and AMOS 24 software.
Results: The results showed that 28.75% of the subjects were obese or overweight. The structural analysis showed that the socioeconomic variable directly affected the nutritional pattern and body mass (-0.43) with an impact coefficient of as much as 0.65. The nutritional pattern variable affected BMI with an impact factor (-0.74). The bootstrap test results indicated that the significant effect of socio-economic status on BMI is mediated by nutritional pattern (-0.48). Prediction values show two economic-social and nutritional pattern variables predicted 0.16 and 0.29 BMI changes, respectively.
Conclusion: The findings of this study showed the effect of socioeconomic status on nutritional patterns and body mass index in the research community. Today, The issue of increasing body mass in the world and our country is one of the most important social challenges. Considering the heterogeneous effects of socioeconomic status on nutritional patterns and body mass index, it is necessary to formulate and implement preventive policies according to the conditions of the communities to achieve effective results.
Zahra Gaeini, Sevda Alvirdizadeh, Parvin Mirmiran, Fereidoun Azizi,
Volume 20, Issue 2 (9-2024)
Abstract
Background and Objectives: The association between the consumption of dairy products and the risk of cardiovascular disease (CVD) is not well-known yet. Here, we aimed to determine the potential effects of total intake and subtypes of dairy products on the development of CVD in an Iranian adult population.
Methods: Among adult participants of the third phase of the Tehran Lipid and Glucose Study (TLGS), after excluding those with incomplete dietary, biochemical and anthropometric data, and those who had CVD events at baseline, 2635 adults were selected and followed up till the sixth phase of the TLGS. Baseline dietary intakes were evaluated using a validated food frequency questionnaire with 168 items. There was no significant difference between the baseline characteristics of participants who did not complete the FFQ and those of the total population in the third phase of the TLGS. Finally, the risk of CVD events after adjusting for potential confounding variables was evaluated across the tertile categories of dairy products using the Cox proportional hazard regression models.
Results: During a 10.6-year follow-up, the incidence rate of CVD was 6.5%. After adjusting for confounding factors, there was no significant association between CVD risk and total dairy, low-fat and high-fat dairy, fermented and non-fermented dairy products, high- and low-fat milk, high- and low-fat yogurt, cheese, and cream cheese, as well as ice cream.
Conclusion: According to numerous evidence in previous studies that revealed there is no association between the consumption of dairy products, and CVD risk, independent of high-fat or low-fat dairy products. Hence, it is vital to reconsider dietary recommendations on lowering the intake of high-fat dairy products for the prevention of CVD.
Aliakbar Haghdoost, Samira Emadi, Azam Bazrafshan,
Volume 20, Issue 2 (9-2024)
Abstract
The migration of elites has become a major challenge worldwide. In Iran, in recent years, there has been a remarkable increase in the number of immigrants. Migration often occurs in different ways including educational migration within geographical borders, field migration, experts avoiding professional activities, and forced or semi-forced migration. Due to the fact that each form of migration can lead to diverse problems, it is imperative to pay attention to the nature and complications of each type of migration in the discussion of human resources management.
Reza Dehnavyeh, Mohammad Jaafari Sirizi, Vahid Yazdi Feyzabadi, Farzaneh Yousefi, Parisa Dehghanian,
Volume 20, Issue 3 (12-2024)
Abstract
Background and Objectives: Paying attention to future changes and preparing for them is one of the requirements of today's world. Personalized medicine as an emerging and expanding change will bring about changes in medical science. Family physicians as the first line of service delivery and health insurance as factors affecting the provision of services will face this issue. The aim of this study was to draw the space for applying this approach in the field of family physicians and the changes it will bring.
Methods: This study has three stages: preparing a presentation file about personalized medicine and formulating questions, holding a meeting with family physicians, completing the questions form as a group, presenting their opinions, and finally, analyzing and summarizing the views of the doctors by the research team.
Results: Implementing personalized medicine will positively affect each of the family physician's functions, including health management, comprehensiveness of services, continuity of service delivery, coordination, and research. However, like any new change in any field, implementing this approach in this part of the health system will be challenging. There are solutions to face these changes and the resulting challenges from the point of view of family doctors.
Conclusion: As one of the essential parts of facing the changes in the health field, family physicians and health insurance should monitor the issues of this field prospectively and prepare themselves to face them. Providing infrastructures according to possible challenges and considering the principles of change management can be a solution for effectively implementing this approach in this field.
Parisa Janjani, Mina Aghaei, Nahid Salehi, Hosna Janjani,
Volume 20, Issue 3 (12-2024)
Abstract
Cardiovascular diseases are recognized as the leading cause of death globally, accounting for a substantial proportion of mortality and disabilities worldwide.
Given that exposure to secondhand smoke is one of the risk factors for cardiovascular diseases, this policy brief presents strategies for reducing exposure to secondhand smoke in the healthy population and cardiovascular patients.
Reducing the burden of cardiovascular diseases caused or aggravated by secondhand smoke exposure and improving health levels requires a multifaceted approach.
Ali-Asghar Honarmand, Seyed Aria Nejadghaderi, Aliakbar Haghdoost,
Volume 20, Issue 4 (3-2025)
Abstract
Background and Objectives: Electronic cigarettes are devices that heat liquids containing nicotine and chemicals to produce aerosols that can be inhaled. Although these products have been marketed as a less harmful alternative to traditional cigarettes, there is evidence indicating that their use also carries specific risks. Advertising and the influence of social media, particularly among young individuals, have led to increased consumption of these cigarettes and serious concerns. This study aimed to examine the benefits and drawbacks of electronic cigarettes.
Methods: In this narrative review, PubMed and Google Scholar databases were searched in a non-systematic manner using relevant keywords to identify studies related to the health effects, history, evolution, and cost-effectiveness of electronic cigarettes.
Results: Electronic cigarettes entered the market for the first time in 2003 and quickly gained popularity among consumers. These cigarettes were marketed as a healthier alternative to traditional cigarettes; however, they contain various chemicals, some of which decompose when heated, producing toxic compounds. Electronic cigarettes can have multiple impacts on health, including cardiovascular issues, respiratory problems, and the potential risk of cancer.
Conclusion: Electronic cigarettes may assist in smoking cessation in some cases, but significant drawbacks accompany these benefits. Given the potential risks, there is a need for further research to comprehensively assess their effects on health for a more informed understanding of the advantages and disadvantages of these products.
Fereshteh Eidy, Razieh Jafarizadeh, Fatemeh Shoghi, Amirhossein Moradian, Fatemeh Sadat Dolatabadi, Samira Rabiei,
Volume 20, Issue 4 (3-2025)
Abstract
Background and Objectives: Overweight and obesity are serious public health problems that have increased significantly among adolescents in recent decades. This condition can affect various aspects of adolescents' quality of life. A questionnaire based on IWQOL-kids was used to assess the quality of life among overweight and obese adolescents in Iran for the first time.
Methods: This study was conducted on 170 overweight and obese adolescents (both boys and girls) aged 11 to 18 years educating in schools of North Khorasan Province. Using a cluster sampling method, data collection was conducted. Data were collected using the IWQOL-kids, a quality of life questionnaire for adolescent obesity, and satistical analyses were conducted using R software version 4.3.2 through univariable and multivariable regression models.
Results: The mean of total score of IWQOL-kids for overweight and obese girls and boys was 82.1 ± 16 and 86.4 ± 15.5, respectively. A significant correlation was found between age and the number of siblings with physical functioning, self-esteem, and overall quality of life scores (p < 0.05). Additionally, age and the number of siblings were significantly associated with social life and family relationships (p < 0.05).
Conclusion: Given the impact of weight on adolescents' quality of life, future studies are recommended to include body composition assessments to more accurately examine the impact of gender differences on the quality of life of this age group.
Maral Forghanifar, Omid Omid Garkaz, Sahar Paryab, Maryam Farjamfar, Solmaz Talebi, Mahboobeh Pourheidari,
Volume 20, Issue 4 (3-2025)
Abstract
Background and Objectives: Pregnancy is considered a pleasurable event in women's lives, which is accompanied by numerous biological, psychological, and social changes. Among the common consequences of these changes is increased depression. Sexual counseling with pregnant mothers has been suggested as one of the interventions to improve the quality of sexual life and depression by several studies, and this study aimed to evaluate the effectiveness of sexual counseling based on the BETTER model on depression scores during pregnancy.
Methods: This randomized clinical trial involved 144 participants who referred to the health centers of Bahmai, Kohgiluyeh and Boyer-Ahmad province, Iran. Participants were randomly assigned to two equal groups of 72, including intervention and control. The intervention group participated in two sessions of 45-60 minutes of sexual counseling based on the BETTER model, and the control group received usual prenatal care. Depression scores were measured using the Edinburgh Depression Questionnaire before, after, and one month after the last counseling session. After collection, the data were entered into SPSS-18 and analyzed using descriptive and analytical statistics.
Results: The results showed no significant difference between depression scores in the control and intervention groups before the test. In contrast, a significant difference was observed in pregnancy depression scores between the intervention and control groups immediately after the intervention and one month later. In the intervention group, the mean depression decreased after counseling (6.54±1.32) and maintained the same effect at a later time (5.59±1.47).
Conclusion: Considering the effectiveness of the BETTER model, it is recommended that training in this model and using it to reduce depression during pregnancy be planned.
Rahman Panahi, Armin Baleshzar, Ali Zahmatkesh,
Volume 20, Issue 4 (3-2025)
Abstract
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A review of studies has revealed that the concept of traffic literacy in Iran has not been investigated so far, and there is no valid and reliable tool to measure traffic literacy. In addition, there is a relationship between health literacy in one hand, and managing diseases and accidents, the number of traffic injuries and prevention of road traffic injuries in other hand. Also, considering the relationship between health literacy and the management of diseases and accidents, the rate of traffic injuries, and its role in preventing road traffic injuries, and considering the potential impact of health literacy in promoting safer practices for pedestrians and for having a healthier and safer society, it seems necessary to design a tool to measure traffic literacy in the country. |
Ehsan Mostafavi, Kiumarss Nasseri, Parvin Yavari,
Volume 20, Issue 4 (3-2025)
Abstract
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Dr. Hossein Sabbaghian, a distinguished veterinarian and epidemiologist, is one of Iran's most prominent figures in epidemiology and public health. This paper reviews her valuable activities and achievements.
Throughout his career, Dr. Sabbaghian has held several key positions, such as Director of the Isfahan Health Research Station, Secretary of the Research Office at the School of Public Health at the University of Tehran, Chairman of the Department of Epidemiology and Biostatistics, and a member of the University of Tehran's Management Council.
Dr. Sabbaghian has authored numerous epidemiological books and has significantly contributed to the scientific literature on public health and zoonotic diseases in Iran.
Reviewing his valuable services can be very valuable for the epidemiology, and public health community and the country's youth. |
Zahra Gaeini, Hanieh Malmir, Sevda Alvirdizadeh, Parvin Mirmiran, Fereidoun Azizi,
Volume 20, Issue 4 (3-2025)
Abstract
Background and Objectives: Limited data are available regarding the association between the proportions of dietary fats, calculated in the form of fat quality indices, and cardiovascular disease (CVD). This study aimed to investigate the associations between dietary fat quality indices (FQI) and the risk of CVD among an Iranian adult population.
Methods: In this study, 1849 adults who participated in the third phase of Tehran Lipid and Glucose Study (TLGS) (2006-2008) were selected based on the inclusion criteria and followed up till 2018 (approximately 10 years). Baseline dietary intakes were estimated using a 168-item food frequency questionnaire. Adjusted hazard Ratios (HRs) and 95% confidence intervals (CIs) of CVD were calculated in tertile categories of dietary FQI, including atherogenic, thrombogenic, and health promoting indices, along with ratio of poly-unsaturated fatty acids to saturated fatty acids and ratio of hypo and hypercholesterolemia, using the Cox proportional hazard regression models.
Results: The participants' mean (SD) age was 45.9 (11.0). During the 10.6 years of follow-up, 172 cases of CVD were diagnosed. In the crude model, the risk of CVD was 46% higher in participants in the highest tertile of the thrombogenic index (HR=1.46, 95% CI: 1.00-2.15); however, the association did not remain significant in the adjusted models. In addition, the crude and adjusted models had no significant associations between other dietary fat qualities and CVD risk.
Conclusion: The present study found no significant association between dietary fat quality indices and CVD incidence.
