The associations between dietary patterns and cardiovascular risk factors among adults: A cross-sectional study

The association between dietary patterns and cardiovascular disease risk factors in Iranian adults: a cross-sectional study

BACKGROUND

Dietary patterns are important factors associated with cardiovascular diseases (CVDs). We examined the association between dietary patterns derived from factor analysis and CVD risk factors.

METHODS

In the present cross-sectional study, a total of 3,687 adults (aged 40 to 70 years) with one or more types of CVDs were enrolled as participants. A validated semi-quantitative food-frequency questionnaire was utilized to assess food intakes, and then dietary patterns were extracted by factor analysis. Fasting blood sugar (FBS), lipid profile, anthropometric indices, and blood pressure (BP) were measured. Multivariable-adjusted logistic regression analysis was employed to ascertain the odds ratio (OR) of CVD risk factors associated with posteriori dietary patterns. In this study, healthy and unhealthy dietary patterns were identified.

RESULTS

Adherence to a healthy dietary pattern was associated with a decrease in systolic BP (SBP) (OR = 0.78; 95% confidence interval (CI): 0.62-0.99) and high-density lipoprotein cholesterol (HDL-C) levels (OR = 1.32; 95% CI: 1.06-1.64). Additionally, greater adherence to the unhealthy dietary pattern was positively associated with SBP (OR = 1.43; 95% CI: 1.13-1.80) and diastolic BP (DBP) (OR = 1.33; 95% CI: 1.01-1.76).

CONCLUSIONS

We concluded that greater adherence to an unhealthy dietary pattern was associated with an increase in SBP and DBP. On the other hand, greater adherence to a healthy dietary pattern could be effective in reducing SBP. Further investigation is recommended to validate these findings.

A comparison of principal component analysis, reduced-rank regression, and partial least-squares in the identification of dietary patterns associated with cardiometabolic risk factors in Iranian overweight and obese women

BACKGROUND

According to epidemiological studies, unhealthy dietary patterns and lifestyle lead to rising obesity and cardiometabolic diseases in Iran. Hybrid techniques were used to identify a dietary pattern characterized by fiber, folic acid, and carotenoid intake due to their association with cardiometabolic risk factors such as anthropometric measurements, blood pressure, lipid profile, C-Reactive Protein (CRP), Plasminogen Activator Inhibitor (PAI), Homeostatic Model Assessment Index (HOMA Index), cardiometabolic index (CMI), and monocyte chemoattractant protein (MCP-1). So, the objective of the recent study is to compare the reduced-rank regression (RRR) and partial least-squares (PLS) approaches to principal component analysis (PCA) for estimating diet-cardiometabolic risk factor correlations in Iranian obese women.

METHODS

Data on dietary intake was gathered from 376 healthy overweight and obese females aged 18 to 65 years using a 147-item food frequency questionnaire (FFQ). In this cross-sectional study, participants were referred to health centers of Tehran. Dietary patterns were developed using PCA, PLS, and RRR, and their outputs were assessed to identify reasonable patterns connected to cardiometabolic risk factors. The response variables for PLS and RRR were fiber, folic acid, and carotenoid intake.

RESULTS

In this study, 3 dietary patterns were identified by the PCA method, 2 dietary patterns by the PLS method, and one dietary pattern by the RRR method. High adherence to the plant-based dietary pattern identified by all methods were associated with higher fat free mass index (FFMI) (P < 0.05). Women in the highest tertile of the plant-based dietary pattern identified by PLS had 0.06 mmol/L (95% CI: 0.007,0.66, P = 0.02), 0.36 mmHg (95% CI: 0.14,0.88, P = 0.02), and 0.46 mg/l (95% CI: 0.25,0.82, P < 0.001), lower FBS, DBP, and CRP respectively than women in the first tertile. Also, PLS and RRR-derived patterns explained greater variance in the outcome (PCA: 1.05%; PLS: 11.62%; RRR: 25.28%), while the PCA dietary patterns explained greater variance in the food groups (PCA: 22.81%; PLS: 14.54%; RRR: 1.59%).

CONCLUSION

PLS was found to be more appropriate in determining dietary patterns associated with cardiometabolic-related risk factors. Nevertheless, the advantage of PLS over PCA and RRR must be confirmed in future longitudinal studies with extended follow-up in different settings, population groups, and response variables.

Association between plant and animal proteins intake with lipid profile and anthropometric indices: A cross-sectional study

BACKGROUND

Results of studies on the effects of plant and animal proteins on lipid profile are controversial. So we aimed to assess the relationship between plant and animal protein intake with lipid profile and novel anthropometric indices in healthy individuals.

METHOD

In this cross-sectional study, 236 participants have selected from Shiraz medical centers (Iran) through random cluster sampling. Food intakes were assessed using a 168-items food frequency questionnaire (FFQ). Total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and triglyceride (TG) were measured. Anthropometric indices including a body shape index (ABSI), abdominal volume index (AVI), buddy roundness index (BRI), and conicity index (CI) were calculated.

RESULTS

In the crude and fully adjusted models, more consumption of plant proteins was associated with TG levels (OR = 2.31; 95% CI: 1.08, 4.95; P = 0.03 and OR = 2.39; 95% CI: 1.03, 5.15; P = 0.04). Also, there was a significant direct association between plant proteins and BRI in the curd model (OR = 3.55; 95% CI: 1.32, 9.54; P = 0.01), and after adjusting for age and energy intake (OR = 3.32; 95% CI: 1.21, 9.14; P = 0.01). More consumption of plant proteins was related to higher CI in the crude model (OR = 3.06; 95% CI: 1.12, 8.31; P = 0.03), but not in the fully adjusted model.

CONCLUSION

We found that a higher intake of plant proteins was associated with a higher TG level, BRI, and CI index. However, more research is needed to confirm these relations and provide the evidence needed to exert these findings into clinical practice.

Diet quality indices and their relationship with dyslipidemia in adults: A cross-sectional study

INTRODUCTION

Food habits may influence a range of modifiable risk factors of cardiovascular diseases (CVDs) including dyslipidemia. This study was conducted to find whether healthy eating index (HEI) and dietary quality index-international (DQI-I) were associated with the risk of dyslipidemia among the Iranian adults in Shiraz.

METHOD

In this study, 236 participants with the age of 20-50 years were recruited from Shiraz medical centers through random cluster sampling. The HEI-2015 and DQI-I scores were computed using dietary intakes based on a 168-item food frequency questionnaire (FFQ). Logistic regression was utilized to estimate the relation between HEI-2015 and DQI-I score and lipid profile.

RESULTS

Individuals in the greatest adherence to the HEI-2015 was associated with reduced odds ratio (OR) of total cholesterol (TC) and low-density lipoprotein (LDL) in the crude model (OR: 0.46 and OR: 0.30). This association was significant after adjustment for potential confounders (OR: 0.40 and OR: 0.31). Also, we observed significant association between DQI-I with TC and LDL in crude model (OR: 0.42 and OR: 0.45). In the adjusted model, participants in the last tertile of DQI-I were 55%, 58% and 57% less likely to have abnormal TC (OR: 0.45), LDL (OR: 0.42) and high-density lipoprotein (HDL) (OR: 0.43), compared those in the first tertile.

CONCLUSION

In conclusion, higher adherence to DQI-I score was related to lower LDL and total cholesterol and higher HDL levels. Furthermore, in participants with higher adherence of HEI-2015 score, LDL and total cholesterol level were lower.

Prevalence and Mechanisms of Skeletal Muscle Atrophy in Metabolic Conditions

Skeletal muscle atrophy is prevalent in a myriad of pathological conditions, such as diabetes, denervation, long-term immobility, malnutrition, sarcopenia, obesity, Alzheimer's disease, and cachexia. This is a critically important topic that has significance in the health of the current society, particularly older adults. The most damaging effect of muscle atrophy is the decreased quality of life from functional disability, increased risk of fractures, decreased basal metabolic rate, and reduced bone mineral density. Most skeletal muscle in humans contains slow oxidative, fast oxidative, and fast glycolytic muscle fiber types. Depending on the pathological condition, either oxidative or glycolytic muscle type may be affected to a greater extent. This review article discusses the prevalence of skeletal muscle atrophy and several mechanisms, with an emphasis on high-fat, high-sugar diet patterns, obesity, and diabetes, but including other conditions such as sarcopenia, Alzheimer's disease, cancer cachexia, and heart failure.

Dietary patterns and predicted 10-year cardiovascular disease risk in a multiethnic Asian population

BACKGROUND AND AIMS

Studies examining associations between dietary patterns and Framingham risk score (FRS) and predicted 10-year cardiovascular diseases (CVD) risk in an Asian population are lacking. This study aimed to identify a posteriori dietary patterns across three major ethnic groups in Singapore and ascertain their associations with locally modified FRS and predicted 10-year CVD risk.

METHODS AND RESULTS

This cross-sectional study included 8594 Singapore residents (aged 21-75 years) from the Singapore Multi-Ethnic Cohort. Data on sociodemographic and lifestyle factors were collected via questionnaires. Food consumption was assessed using a validated Food Frequency Questionnaire. Dietary patterns were identified using principal component analysis and associations with CVD risk factors, FRS and predicted CVD risk (%) were analysed using multiple linear and logistic regression. Four dietary patterns emerged that explained 25.6% of variance. The 'processed food and sugar-sweetened beverages' pattern was significantly associated with higher FRS (β: 0.13; 95% CI: 0.04, 0.23), while the 'ethnic breads, legumes and nuts' (β: 0.13; 95% CI: 0.22, -0.04) and 'whole grains, fruit and dairy' (β: 0.17; 95% CI: 0.24, -0.10) patterns were significantly associated with lower FRS. The 'meat and vegetables' pattern was not significantly associated with FRS. Increased adherence to the 'whole grains, fruit and dairy' pattern was associated with lower odds of having predicted CVD risk of ≥10% (p-trend: 0.03).

CONCLUSION

Adherence to the 'ethnic breads, legumes and nuts' and 'whole grains, fruit and dairy' patterns was associated with a lower predicted CVD risk, and an inverse association for the 'processed food and sugar-sweetened beverages' pattern in an Asian population. These findings can inform the development of culturally sensitive dietary interventions to prevent CVD.

Dietary Habits of Patients with Coronary Artery Disease: A Case-Control Study from Pakistan

Background: Adults in South Asian countries have high chances of developing coronary artery disease (CAD) as compared to the developed nations. CAD is among the primary non-communicable causes of death in this region. Dyslipidemia, obesity, smoking hypertension, diabetes are considered as important risk factors for CVD. Methods: A case-control study was conducted, with data was collected from the Punjab Institute of Cardiology in Lahore and the University of Lahore Teaching Hospital. A total of 500 subjects were selected, of which 250 were coronary artery disease patients and 250 were healthy controls. The CAD patients were selected from the outpatient department (OPD) and emergency unit of the Punjab Institute of Cardiology and the University of Lahore Teaching Hospital. Results: The mean age of CAD patients was 57.83 ± 7.51 years and that of the controls was 55.32 ± 6.40 years. There was a significant difference in the mean values of biochemical parameters among cases and controls except for fasting blood sugar levels while there was a significant difference (p-value: 0.000) in the mean values of systolic blood pressure among cases and controls. Similarly, the values of diastolic blood pressure were also significantly different (p-value: 0.000) among cases and controls. The values of total blood cholesterol, LDL, triglycerides and HDL were also significantly different among cases and controls. There was a significant relationship between consumption of chicken, eggs, beef, yogurt, junk food, fresh vegetables, and fruits, and incidence of CAD. Consuming milk every day, and consuming fish weekly and consuming ghee had no significant association with the risk of coronary artery disease. On the other hand, from the findings of the unadjusted model, there was a significant association between CAD risk and intake of chicken, beef, egg, yogurt, junk food, fish, vegetables, and fruits. Conclusions: Diet is a risk factor for coronary artery disease and can be adjusted to reduce the risk of CAD. A key finding is that consumption of chicken, beef, eggs and junk food are associated with a high risk of CAD whereas consumption of ghee is not associated with the risk of CAD.

Association between Dietary Patterns and Low HDL-C among Community-Dwelling Elders in North China

We aimed to investigate the association between dietary patterns and low HDL-C among the elderly population living in North China. The data were from a national cross-sectional survey conducted in 2015. General information in terms of living habits, health status, and food intake using 24 h dietary recall for three consecutive days was procured, and the weight of edible oil and condiments recorded. Anthropometric index, blood pressure, and fasting serum lipids were measured using standard methods. Dietary patterns were derived from food categories by exploratory factor analysis, and multivariate logistic regression was used to estimate the odds ratios of low HDL-C across quartiles of dietary patterns. Among 3387 elderly participants, 21.9% had low HDL-C levels. After adjusting for potential confounding factors, participants with highest score versus lowest score in the balanced dietary pattern had a decreased risk of low HDL-C (OR = 0.38, 95% CI: 0.16-0.88, p for trend = 0.013) in the group with a BMI of 27.1 kg/m² and above. Compared to the lowest quartile, there was a statistically significant negative association between the highest scores of the Western dietary pattern and low HDL-C (OR = 0.37, 95% CI: 0.17-0.82, p for trend = 0.018) in the group with a BMI of 21.6-24.8 kg/m². However, greater adherence to a thrifty dietary pattern (highest quartiles vs. lowest quartiles) was associated with increased risk of low HDL-C (OR = 3.31, 95% CI: 1.05-10.40, p for trend = 0.044), especially in the subgroup with a BMI of 21.6 kg/m² and below. The study revealed that it is urgent to develop district-specific dietary improvement plans for dyslipidemia based on the nutritional status of the elderly population in North China.

Interactions between Caveolin-1 (rs3807992) polymorphism and major dietary patterns on cardio-metabolic risk factors among obese and overweight women

BACKGROUND

Caveolin-1 (CAV-1) is a cholesterol-dependent essential component located in caveolae. Several studies have been CAV-1 related to cardio-metabolic parameters in animal models, however, there are few studies in humans. Importantly, there is no study has investigated the interaction between CAV-1 rs3807992 gene and dietary patterns (DPs) on cardio-metabolic risk factors.

METHODS

The current cross-sectional study was conducted on 404 overweight and obese women. Dietary intake was obtained from FFQ with 147 items. The CAV-1 genotype was measured by the PCR-RFLP method. The anthropometric measurements, serum lipid profile, and inflammatory markers were measured by standard protocols.

RESULTS

There was a significant interaction between CAV-1 rs3807992 and healthy DP on high-density cholesterol (HDL) (P-interaction = 0.03), TC/HDL (P-interaction = 0.03) and high sensitivity C-reactive protein (hs-CRP) (P-interaction = 0.04); in A-allele carriers, higher following a healthy DP was related to a higher level of HDL and lower TC/HDL and hs-CRP. As well as, the significant interactions were observed between CAV-1 rs3807992 and unhealthy DP in relation to triglyceride (TG) (P-interaction = 0.001), aspartate aminotransferase (AST) (P-interaction = 0.01) and monocyte chemoattractant protein-1(MCP-1) (P-interaction = 0.01); A-allele carriers were more following the unhealthy DP had lower levels of TG, AST and MCP-1.

CONCLUSIONS

Our study revealed a significant gene-diet interaction between rs3807992 SNPs and DPs in relation to cardio-metabolic risk factors; A-allele carriers might be more sensitive to dietary composition compared to GG homozygotes. Following a healthy DP in A-allele-carriers may be improved their genetic association with cardio-metabolic risk factors.