Risk Of Heart Disease Research Articles

The influence of module-based coronary heart disease risk factor education on the level of patient knowledge at Hospital of PKU Muhammadiyah Yogyakarta

Background: Coronary heart disease (CHD) is a leading cause of morbidity and mortality worldwide. Effective patient education regarding CHD and its risk factors is essential for prevention and management. Purpose: This study aims to evaluate the effectiveness of a module-based educational intervention on improving patient knowledge of CHD risk factors. Methods: This quasi-experimental study employed a pre-test and post-test control group design. A total of 34 participants were selected via quota sampling, with 17 assigned to the intervention group and 17 to the control group. Participants' knowledge levels were measured using the Heart Disease Facts Questionnaire (HDFQ) before and after receiving education on CHD risk factors through a structured booklet and Counselling Events Units (SAP). Results: Statistical analysis using the Mann-Whitney test revealed a significant increase in the knowledge levels of the intervention group compared to the control group (p = 0.001), indicating the effectiveness of the module-based education. Conclusion: Module-based education on CHD risk factors significantly improves patient knowledge. This approach can be an effective educational tool in clinical settings for enhancing patient understanding and reducing CHD risk.

Role of Horticultural Crops in Food and Nutritional Security: A Review

Horticultural crops perform a very important role in both food and nutritional security more especially in developing countries. Fruit and vegetables have high content of both nutritional and health promoting compounds which consist mostly of essential vitamins, minerals and anti-oxidant that is not present in major staple food crops. Fruits and vegetables supply a large constituent of human nutrition, as they are vital sources of minerals, vitamins, nutrients, dietary fiber, ant-oxidant and phytochemicals that are easy to produce and have short production cycle. A diet rich in fruits and vegetables can help in reducing high blood pressure, lower the risk of heart disease and stroke, provide protection against most types of cancer, reduce the risk of eye and digestive problems, and have a significant effect controlling blood sugar levels which serve as appetite booster. The higher the amount of daily intake of fruits and vegetables, the lower the risk of developing cardiovascular diseases. Fruits and vegetables also contain fiber that assist in bowel movements and can relieve or prevent constipation. Eating fruits and vegetables can also keep eyes healthy and may help prevent two common eye diseases like cataracts and macular degeneration. The FAO, IFAD, UNICEF, WFP and WHO report on state of World food and nutrition security for the year 2021 painted a gloomier picture. The report estimated that between 720 and 811 million people in the world faced hunger in 2020 with close to 2.37 billion people did not have access to adequate food in 2020. Thus the need to encourage the production of horticultural crops can help in enhancing food and nutritional security since it is an enterprise that maximizes small space in terms of value and health benefits.

Association of complete blood count parameters with the risk of incident pulmonary heart disease in pneumoconiosis: a retrospective cohort study

BackgroundPneumoconiosis mostly combines pulmonary and cardiovascular diseases, among which pulmonary heart disease (PHD) is of major concern due to its significant impact on the survival of pneumoconiosis patients. White cell...

Heart Disease Prediction Using Machine Learning

Heart disease remains a leading cause of mortality worldwide, necessitating improved methods for early detection and risk assessment. This paper reviews and analyzes the application of machine learning techniques in heart disease prediction, focusing on five primary algorithms: Naïve Bayes, k-Nearest Neighbor (KNN), Decision Tree, Artificial Neural Network (ANN), and Random Forest. By examining existing studies and datasets, we evaluate the effectiveness of these algorithms in predicting heart disease risk. Our analysis demonstrates that machine learning models can significantly enhance the accuracy and efficiency of heart disease prediction compared to traditional diagnostic methods. The Random Forest algorithm exhibited the highest overall performance, with studies reporting accuracy rates up to 95% in identifying potential heart disease cases. This review highlights the potential of machine learning in revolutionizing cardiovascular healthcare by enabling more personalized risk assessments and facilitating early intervention strategies. The integration of these advanced predictive models into clinical practice could substantially improve patient outcomes and reduce the global burden of heart disease. Keywords: Cardiovascular Risk Prediction, Machine Learning Algorithms, Electronic Health Records, Random Forest, Artificial Neural Networks, Feature Importance, Clinical Decision Support, Personalized Medicine, Predictive Analytics in Healthcare, Early Disease Detection.

Sex differences in circulating metabolites across glycemic status and risk of coronary heart disease.

Women with type 2 diabetes (T2D) have a 50% excess risk of coronary heart disease (CHD) than men with T2D. We compared circulating metabolites and their associations with CHD in men and women across glycemic status. We used metabolomic data (lipoproteins, fatty acids, amino acids, glycolysis, ketones, inflammation, and fluid balance) for 87,326 CHD-free UK Biobank participants. We used linear regressions to examine the association of sex and metabolites (log) in newly diagnosed T2D (diagnosis<2 yrs from baseline), prediabetes (A1c 5.7-6.5%), and euglycemia, accounting for age, race, Deprivation Index, income, smoking, alcohol drinking, obesity, physical activity, medications for hypertension, hyperlipidemia, and diabetes. We used Cox models to evaluate the association of metabolites and CHD risk by sex, adjusting the same covariates and menopausal status (women). All analyses were FDR-adjusted. We included 1250 individuals with new T2D, 12,706 with prediabetes, and 83,315 with euglycemia. In adjusted linear regressions, women showed a progressive increase in atherogenic lipid and lipoprotein markers and inflammatory marker, glycoprotein acetyls, compared to men as their glycemic status advanced. However, women had lower levels of albumin during this transition. Menopausal status did not alter these sex differences. In a 10-year follow-up, an SD higher total TG, TG in VLDL, LDL, and HDL, saturated fatty acids (SFA) were positively associated with a higher risk of CHD in women with T2D but not in men (p-interactions 0.03-0.15). With advancing glycemic status, women exhibited higher levels of atherogenic lipids and lipoproteins, as well as inflammatory markers, but lower circulating albumin. Women with T2D appear to be at a higher risk of CHD associated with TG, VLDL-TG, LDL-TG, and HDL-TG, and SFA than men with T2D.

Use of fluoroquinolones and the risk of aortic and mitral regurgitation: A nationwide case-crossover study.

Recently, there have been conflicting results reporting an increased risk of AR or MR associated with oral fluoroquinolones (FQs).This study investigated whether the use of FQs increases the risk of mitral regurgitation (MR) or aortic regurgitation (AR). A retrospective cohort study was conducted by using the Taiwan National Health Insurance research database. A unidirectional case-crossover design without selecting controls from an external population was adopted in this study. A total of 26,650 adult patients with new onset of AR or MR between January 1, 2000, and December 31, 2012, were identified. The risk of outcomes was compared between the hazard period and one of the randomly selected referent periods of the same individuals. Before exclusion of pneumonia diagnosed within 2 months before the index date, patients who took FQs had a significantly greater risk of AR or MR (adjusted odds ratio [aOR] 1.51, 95% confidence interval [CI] 1.30-1.77), any AR (combined AR and MR) (aOR 1.50, 95% CI 1.10-2.04), and any MR (combined AR and MR) (aOR 1.37, 95% CI 1.16-1.62). After exclusion of pneumonia, FQs exposure remained significantly associated with a greater risk of MR (aOR 1.38, 95% CI 1.17-1.62) and any MR (aOR 1.25, 95% CI 1.05-1.48). The findings suggested that patients treated with FQs could be warned about the potential risk for MR even after considering the possibility of protopathic bias. Reducing unnecessary FQs prescriptions may be considered to reduce the risk of valvular heart disease.

Salt-sensitive hypertension in young people: How can we predict the risk of hypertensive heart disease?

Salt-sensitive hypertension in young people: How can we predict the risk of hypertensive heart disease?

A User-Centered Data Visualization of Atherosclerotic Heart Disease Risk Factors.

High cholesterol levels significantly contribute to the risk of atherosclerotic cardiovascular disease (ACVD), with a notable portion of ischemic heart disease cases linked to elevated cholesterol levels. Effective graphical displays of lipid panel tests and other cardiac risk factors are crucial for quick and accurate data interpretation, enabling early intervention for individuals with hyperlipidemia. Applying design theories such as Gestalt and distributed cognitive theories is essential for creating user-centered graphical data displays in the context of cardiovascular (CV) risk factors. The proposed dashboard informed by these theories is expected to help healthcare providers better address cardiovascular disease (CVD), enhancing diagnosis, treatment, and prevention. Moreover, this approach may help alleviate clinical provider burnout, improve patient outcomes, and reduce provider stress, thus contributing to safer and more effective healthcare systems.

Prenatal exposure to air pollutants and the risk of congenital heart disease: a Korean national health insurance database-based study

Air pollution and heavy metal exposure are emerging public health concerns. Prenatal exposure to air pollutants and heavy metals has been implicated in the development of congenital heart disease (CHD). However, the relationship between exposure to airborne heavy metals and CHD has not yet been investigated. Therefore, in this large population-based study, we investigated the association between air pollutants, including airborne heavy metals, and the risk of CHD using national health insurance claims data from South Korea. Data regarding 1,129,442 newborns and their mothers were matched with air pollutant levels during the first 8 weeks of gestation. In the five-air pollutant model, we found significant positive correlations between prenatal exposure to sulfur dioxide (SO2; odds ratio [OR] 6.843, 95% confidence interval [CI] 5.746–8.149) and cadmium (Cd; OR 1.513, 95% CI 1.187–1.930) and the risk of ventricular septal defects in newborns. This study highlights the association between prenatal exposure to air pollutants, including airborne heavy metals, and an elevated CHD risk. Further research is essential to validate and expand these findings, with the ultimate goal of enhancing public health outcomes.

Chrononutrition and Cardiometabolic Health: An Overview of Epidemiological Evidence and Key Future Research Directions.

Chrononutrition is a rapidly evolving field of nutritional epidemiology that addresses the complex relationship between temporal eating patterns, circadian rhythms, and metabolic health, but most prior research has focused on the cardiometabolic consequences of time-restricted feeding and intermittent fasting. The purpose of this topical review is to summarize epidemiological evidence from observational and intervention studies regarding the role of chrononutrition metrics related to eating timing and regularity in cardiometabolic health preservation and cardiovascular disease prevention. Observational studies are limited due to the lack of time-stamped diet data in most population-based studies. Findings from cohort studies generally indicate that breakfast skipping or the later timing of the first eating occasion, a later lunch and dinner, and a greater proportion of caloric intake consumed in the evening are associated with adverse cardiometabolic outcomes, including higher risk for coronary heart disease, hypertension, type 2 diabetes, obesity, dyslipidemia, and systemic inflammation. Randomized controlled trials are also limited, as most in the field of chrononutrition focus on the cardiometabolic consequences of time-restricted feeding. Overall, interventions that shift eating timing patterns to earlier in the day and that restrict evening caloric intake tend to have protective effects on cardiometabolic health, but small sample sizes and short follow-up are notable limitations. Innovation in dietary assessment approaches, to develop low-cost validated tools with acceptable participant burden that reliably capture chrononutrition metrics, is needed for advancing observational evidence. Culturally responsive pragmatic intervention studies with sufficiently large and representative samples are needed to understand the impact of fixed and earlier eating timing schedules on cardiometabolic health. Additional research is warranted to understand the modifiable determinants of temporal eating patterns, to investigate the role of chrononutrition in the context of other dimensions of diet (quantity, quality, and food and nutrition security) in achieving cardiometabolic health equity, and to elucidate underlying physiological mechanisms.

Effect of disclosing a polygenic risk score for coronary heart disease on adverse cardiovascular events: 10-year follow-up of the MI-GENES randomized clinical trial.

The MI-GENES clinical trial (NCT01936675), in which participants at intermediate risk of coronary heart disease (CHD) were randomized to receive a Framingham risk score (FRSg, n=103), or an integrated risk score (IRSg, n=104) that additionally included a polygenic risk score (PRS), demonstrated that after 6 months, participants randomized to IRSg had higher statin initiation and lower low-density lipoprotein cholesterol (LDL-C). In a post hoc 10-year follow-up analysis of the MI-GENES trial, we investigated whether disclosure of a PRS for CHD was associated with a reduction in adverse cardiovascular events. Participants were followed from randomization beginning in October 2013 until September 2023 to ascertain adverse cardiovascular events, testing for CHD, and changes in risk factors, by blinded review of electronic health records. The primary outcome was the time from randomization to the occurrence of the first major adverse cardiovascular event (MACE), defined as cardiovascular death, non-fatal myocardial infarction, coronary revascularization, and non-fatal stroke. Statistical analyses were conducted using Cox proportional hazards regression and linear mixed-effects models. We followed all 203 participants who completed the MI-GENES trial, 100 in FRSg and 103 in IRSg (mean age at the end of follow-up: 68.2±5.2, 48% male). During a median follow-up of 9.5 years, 9 MACEs occurred in FRSg and 2 in IRSg (hazard ratio (HR), 0.20; 95% confidence interval (CI), 0.04 to 0.94; P=0.042). In FRSg, 47 (47%) underwent at least one test for CHD, compared to 30 (29%) in IRSg (HR, 0.51; 95% CI, 0.32 to 0.81; P=0.004). IRSg participants had a longer duration of statin therapy during the first four years post-randomization and a greater reduction in LDL-C for up to 3 years post-randomization. No significant differences between the two groups were observed for hemoglobin A1C, systolic and diastolic blood pressures, weight, and smoking cessation rate during follow-up. The disclosure of an IRS that included a PRS to individuals at intermediate risk for CHD was associated with a lower incidence of MACE after a decade of follow-up, likely due to a higher rate of initiation and longer duration of statin therapy, leading to lower LDL-C levels.

Daily Vinegar Ingestion Improves Depression and Enhances Niacin Metabolism in Overweight Adults: A Randomized Controlled Trial.

Depressive disorders are the most prevalent mental health conditions in the world. The commonly prescribed antidepressant medications can have serious side effects, and their efficacy varies widely. Thus, simple, effective adjunct therapies are needed. Vinegar, a fermented acetic acid solution, is emerging as a healthful dietary supplement linked to favorable outcomes for blood glucose management, heart disease risk, and adiposity reduction, and a recent report suggests vinegar may improve symptoms of depression. This randomized controlled study examined the 4-week change in scores for the Center for Epidemiological Studies Depression (CES-D) questionnaire and the Patient Health Questionnaire (PHQ-9) in healthy overweight adults ingesting 2.95 g acetic acid (4 tablespoons vinegar) vs. 0.025 g acetic acid (one vinegar pill) daily. A secondary objective explored possible underlying mechanisms using metabolomics analyses. At week 4, mean CES-D scores fell 26% and 5% for VIN and CON participants respectively, a non-significant difference between groups, and mean PHQ-9 scores fell 42% and 18% for VIN and CON participants (p = 0.036). Metabolomics analyses revealed increased nicotinamide concentrations and upregulation of the NAD+ salvage pathway for VIN participants compared to controls, metabolic alterations previously linked to improved mood. Thus, daily vinegar ingestion over four weeks improved self-reported depression symptomology in healthy overweight adults, and enhancements in niacin metabolism may factor into this improvement.

Preconception underweight and the risk of offspring congenital heart diseases in young pregnant women: Evidence from the China Birth Cohort Study.

Maternal obesity is a highly suggestive risk factor of offspring congenital heart diseases (CHD). However, the risk of offspring CHD associated with maternal underweight has rarely been mentioned. Therefore, this study aimed to explore the effect of preconception underweight on offspring CHD. From November 2017 to August 2021, 132 386 pregnant women were enrolled in a birth cohort study in China in early pregnancy, and completed follow-up until delivery (or miscarriage/termination). Offspring CHD was diagnosed by prenatal ultrasound examination in both live births and stillbirths. Log-binomial regression and restricted cubic spline were used to estimate the risk of offspring CHD associated with preconception body mass index (BMI). A generalized additive model was used to explore the modification effect of maternal age on the association between preconception BMI and offspring CHD. A total of 129 096 pregnant women were included in the analysis. The incidence of CHD in the underweight, normal weight, overweight, and obesity groups were 117/17 313 (0.68%), 556/85 695 (0.65%), 128/19 936 (0.64%), 47/6152 (0.76%), respectively. Both underweight and obesity before pregnancy marginally increased the risk of offspring CHD. The association between preconception BMI and offspring CHD varied by maternal age, with low preconception BMI associated with a significantly higher risk of offspring CHD in women <24 years (RR 2.32, 95% CI: 1.07-5.01 for 17 vs 21 kg/m2). Preconception underweight was associated with an increased risk of offspring CHD in young pregnant women. Therefore, weight gain is important to prevent offspring CHD, especially for young women with low preconception BMI.

Addition of Social Determinants of Health to Coronary Heart Disease Risk Prediction: The Multi-Ethnic Study of Atherosclerosis.

Social determinants of health (SDoH) are associated with cardiovascular risk factors and outcomes; however, they are absent from risk prediction models. We aimed to assess if the addition of SDoH improves the predictive ability of the MESA (Multi-Ethnic Study of Atherosclerosis) Risk Score. This was a community-based prospective population cohort study that enrolled 6286 men and women, ages 45-84 years, who were free of clinical coronary heart disease (CHD) at baseline. Data from 10-year follow-up were examined for CHD events, defined as myocardial infarction, fatal CHD, resuscitated cardiac arrest, and revascularization in cases of anginal symptoms. Participants included 53% women with average age of 62 years. When adjusting for traditional cardiovascular risk factors, SDoH, and coronary artery calcium, economic strain, specifically low family income, was associated with a greater risk of CHD events (hazard ratio [HR], 1.42 [95% CI, 1.17-1.71], P value<0.001). Area under the curve of risk prediction with SDoH was 0.822, compared with 0.816 without SDoH. The calibration slope was 0.860 with SDoH and 0.878 in the original model. Significant associations were found between economic/financial SDoH and CHD risk factors and outcomes. Incorporation of SDoH into the MESA Risk Score did not improve predictive ability of the model. Our findings do not support the incorporation of SDoH into current risk prediction algorithms.

The State of Lipid Metabolism in Old Rats in High Altitude Conditions Against the Background of the Use of Coenzyme Q10

The problem of population aging is relevant both in Kyrgyzstan and in the global space. At the same time, the preservation of the functional capabilities of the body of elderly people living in adverse climatic conditions is of particular importance. 20-30% of the inhabitants live in the mountainous area of Kyrgyzstan at an altitude of 2000-4000 meters above sea level. It is known that in high-altitude conditions, the body is influenced by extreme factors of the highlands, which accelerate the aging process and reduce life expectancy. This article presents data from experimental studies of energy metabolism disorders in old rats and its correction of coenzyme Q10 at an altitude of 3200 m above sea level. It was found that in old rats, under conditions of short-term adaptation in the mountains, an increase in the level of total cholesterol, triglycerides and low-density lipoproteins was shown, and the level of high-density lipoproteins decreased, indicating a violation of lipid metabolism. Also, due to oxidative stress in high-altitude conditions, the level of malondialdehyde, superoxide dismutase and catalase in the blood of animals was increased. Oral administration of coenzyme Q10 at a dose of 30 mg/kg of body weight 1 time per day for 30 days to old rats led to a decrease in total cholesterol, low-density lipoproteins, triglycerides and an increase in high-density lipoproteins, due to the fact that coenzyme Q10 protects the plasma membrane of the cell from lipid peroxidation, preventing oxidative modifications lipids, which leads to a reduced risk of coronary heart disease, heart attack and stroke.

Inflammatory Response Genes' Polymorphism Associated with Risk of Rheumatic Heart Disease.

Rheumatic heart disease (RHD) caused by group A streptococcus infection is one of the most important reasons of cardiovascular morbidity and mortality in low- and middle-income countries. Aberrant host immune response modulated by polymorphisms in inflammatory response genes plays an important role in RHD pathogenesis. This study aimed to determine risk-associated polymorphic variants in inflammatory response genes in Caucasian RHD patients. A total of 251 Caucasian RHD patients and 300 healthy donors were recruited for this study, and 27 polymorphic sites in 12 genes (TLR1, TLR2, TLR4, TLR6, IL1B, IL6R, IL6, IL10, IL12RB1, IL12B, TNF and CRP) were analyzed using allele-specific PCR. It was demonstrated that the polymorphic variants rs1800871 and rs1800872 in the IL10 gene, rs 1130864, rs3093077 and rs1205 in the CRP gene, rs375947 in the IL12RB1 gene, rs 5743551 and rs5743611 in the TLR1 gene, and rs3775073 in the TLR6 gene can modify RHD risk in a gender- and age-dependent manner. The obtained results can be used to determine the personalized risk of RHD in healthy donors during medical examination or screening, as well as to develop appropriate early prevention strategies targeting RHD in the risk groups.

Advances of therapy for Alzheimer's disease: An updated review

AbstractAlzheimer's disease (AD) is a type of dementia characterized by a decline in brain function, which leads to the inability to perform activities independently. Many researchers recognize abnormalities related to beta‐amyloid as the main cause of the disease (i.e., the beta‐amyloid hypothesis), but aging, genetics, coronary heart disease, environmental factors, gender, and other risk factors may also contribute to AD development. Three drugs with different mechanisms are available for AD treatment: cholinesterase inhibitors, N‐methyl d‐aspartate, and aducanumab. This study reviewed the therapies that are already applied in clinical practice and those that are currently being investigated for clinical use. These therapies include not only pharmacological treatments but also non‐pharmacological treatments, such as gut flora therapy and music therapy. A comprehensive understanding of these therapies is necessary to enable early intervention, improve patients' physical and mental conditions, delay the occurrence and development of AD, and extend patients' healthy lifespans.

Prospective association study of sleep status and risk of coronary heart disease in adults in Suzhou

Objective: To investigate the association between sleep status and the risk for coronary heart disease in adults in Suzhou. Methods: Using the baseline and follow up information of 53 269 local residents aged 30-79 years in China Kadoorie Biobank conducted in Wuzhong District, Suzhou, 51 929 subjects were included in this study after excluding those reporting coronary heart disease, stroke and cancer at the baseline survey. A Cox proportional hazards regression model was used to analyze the association of healthy sleep score (0-3 points) and sleep factors (snoring, insomnia, long sleep duration and nap) with the risk for coronary heart disease. Results: The median follow-up time was 11.12 years, and 1 304 individuals were diagnosed with coronary heart disease during the follow-up. After adjusting for potential confounders, occasional snoring (HR=1.20, 95%CI: 1.04-1.38), usual snoring (HR=1.17, 95%CI: 1.02-1.33), insomnia disorder (HR=1.41, 95%CI: 1.12-1.78), daytime dysfunction (HR=1.56, 95%CI: 1.20-2.03) and perennial nap (HR=1.37, 95%CI: 1.19-1.59) were associated with increased risk of coronary heart disease. Compared with those with sleep score of 0 - 1 (low sleep quality), the people with sleep score of 3 had reduced risk of coronary heart disease by 26% (HR=0.74, 95%CI: 0.63-0.87). Stratified analysis showed that the association of healthy sleep score 3 with risk of coronary heart disease was stronger in low physically active individuals (interaction P<0.05). Conclusions: Snoring, insomnia disorders, daytime dysfunction, and perennial napping were all associated with increased risk for coronary heart disease, and keep healthy sleep mode might reduce the risk for coronary heart disease in adults.

Enhancing Metabolic Syndrome Detection through Blood Tests Using Advanced Machine Learning

The increasing prevalence of metabolic syndrome (MetS), a serious condition associated with elevated risks of cardiovascular diseases, stroke, and type 2 diabetes, underscores the urgent need for effective diagnostic tools. This research carefully examines the effectiveness of 16 diverse machine learning (ML) models in predicting MetS, a multifaceted health condition linked to increased risks of heart disease and other serious health complications. Utilizing a comprehensive, unpublished dataset of imbalanced blood test results, spanning from 2017 to 2022, from the Laboratory Information System of the General Hospital of Amfissa, Greece, our study embarks on a novel approach to enhance MetS diagnosis. By harnessing the power of advanced ML techniques, we aim to predict MetS with greater accuracy using non-invasive blood test data, thereby reducing the reliance on more invasive diagnostic methods. Central to our methodology is the application of the Borda count method, an innovative technique employed to refine the dataset. This process prioritizes the most relevant variables, as determined by the performance of the leading ML models, ensuring a more focused and effective analysis. Our selection of models, encompassing a wide array of ML techniques, allows for a comprehensive comparison of their individual predictive capabilities in identifying MetS. This study not only illuminates the unique strengths of each ML model in predicting MetS but also reveals the expansive potential of these methods in the broader landscape of health diagnostics. The insights gleaned from our analysis are pivotal in shaping more efficient strategies for the management and prevention of metabolic syndrome, thereby addressing a significant concern in public health.

Effects of Resistance Training, Estrogen Therapy, and Calcium Chitosan Supplement Containing Vitamin D on Bone Turnover in Ovariectomized Rats: An Experimental-Comparative Study

Background: Hormone therapy is a highly effective method for treating menopausal disorders. However, its side effects may include an increased risk of cancer, heart disease, and pulmonary embolism. Previous research has demonstrated that both exercise and nutrition separately have positive effects on menopausal symptoms. Therefore, we suggest that combining exercise and nutrition interventions may provide a synergistic effect, yielding results at least similar to those of estrogen (Est) therapy. Objectives: This study aims to compare the independent and combined effects of resistance training (RT), Est therapy, and vitamin D calcium chitosan (Vit D + Ca++ + Chit) supplementation on markers of bone turnover in ovariectomized (OVX) rats. Methods: Forty-two female Wistar rats were randomly divided into seven groups (n = 6 per group): (1) healthy-control (He-Co), (2) OVX-Vit D + Ca++ + Chit + RT, (3) OVX-saline (Sal) + Est + RT, (4) Sal + RT, (5) OVX-Vit D + Ca++ +Chit, (6) OVX-Sal + Est, and (7) OVX-Control (OVX-Co). Bone samples were extracted 48 hours after the final session. Two-way ANOVAs were used to determine differences in intervention effects between groups. The alpha level was set to 0.05. Results: Ovariectomy (OVX) decreased bone tissue expression of alkaline phosphatase (ALP) and osterix (OSX) while increasing peroxisome proliferator-activated receptor gamma (PPAR-γ) gene expression. Ovariectomy also decreased the number of osteocytes and osteoblasts while increasing the number of osteoclasts. Resistance training (RT) and Vit D + Ca++ + Chit intake increased bone tissue expression of ALP, OSX, and PPAR-γ gene expression. Additionally, RT and Vit D + Ca++ + Chit supplementation increased the number of osteocytes and osteoblasts and decreased the number of osteoclasts. Conclusions: The combined interventions had synergistic effects compared to each intervention separately on ALP, osteocyte, osteoblast, and osteoclast observations. Therefore, combining RT with Vit D + Ca++ + Chit could be a non-pharmacological approach to address bone turnover alterations caused by OVX.