Dietary Patterns Derived from Reduced Rank Regression Are Associated with the 5-Year Occurrence of Metabolic Syndrome: Aichi Workers’ Cohort Study

Li, Yuanying; Yatsuya, Hiroshi; Wang, Chaochen; Uemura, Mayu; Matsunaga, Masaaki; He, Yiping; Khine, Maythet; Ota, Atsuhiko

doi:10.3390/nu14153019

Cited by 4 publications

(1 citation statement)

References 83 publications

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“…A case-control study on patients with type 2 DM in Tabuk City, Saudi Arabia, showed that fast food intake (p<0.001), fruit consumption (p=0.004), and breakfast skipping (p<0.001) were positively associated with diabetes, while sweet food consumption was negatively associated with diabetes control (p=0.046) [ 12 ]. One cohort study reported that a healthy diet was negatively associated with metabolic syndrome (p=0.009) and hypertension (p= 0.002), while an unhealthy diet was associated with all of its components (insulin resistance, high blood triglycerides, low levels of HDL cholesterol, obesity, and high blood pressure) (p<0.05), increasing risks for type 2 DM [ 27 ]. Two articles (one cohort and one cross-sectional) reported a positive association between a plant-based diet and good diabetic management [ 28 ], reduced triglyceride levels, and increased HDL levels [ 29 ].…”

Section: Reviewmentioning

confidence: 99%

The Influence of Eating Habits on Type 2 Diabetes in Saudi Arabia: A Systematic Review

Almutairi¹,

Alhomaid²,

Alshuaibi³

et al. 2023

Cureus

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Several dietary factors are associated with an increased risk of diabetes in Saudi Arabia. The increasing consumption of processed and sugary foods, including fast food and sugary beverages, in recent decades along with the rising prevalence of diabetes indicate the necessity of exploring the influence of eating habits on diabetes in Saudi Arabia. That is why the association between eating habits and diabetes in Saudi Arabia has become a topic of increasing interest. Therefore, this systematic literature review aimed to explore the influence of eating habits on the prevalence of diabetes in Saudi Arabia by providing a comprehensive synthesis of existing evidence from studies conducted on this topic in Saudi Arabia. A systematic search was conducted using predefined search terms in electronic databases, including PubMed, Embase, Medline, Google Scholar, and Scopus. Studies investigating the relationship between eating habits and diabetes prevalence among the Saudi Arabian population were included. Data extraction was performed, and the quality of included studies was assessed using appropriate tools. The findings were synthesized and discussed. Understanding the association between eating habits and diabetes in Saudi Arabia is crucial for developing effective preventive and management strategies for diabetes and other non-communicable diseases and promoting healthier eating habits in Saudi Arabia.

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Section: Reviewmentioning

confidence: 99%

The Influence of Eating Habits on Type 2 Diabetes in Saudi Arabia: A Systematic Review

Almutairi¹,

Alhomaid²,

Alshuaibi³

et al. 2023

Cureus

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The dietary patterns derived by reduced-rank regression in association with Framingham risk score and lower DASH score in Hoveyzeh cohort study

Shoja

Borazjani

Angali

et al. 2023

Sci Rep

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The relationship between dietary patterns (DPs) and cardiovascular disease (CVD) has been the subject of much research, but given the significance of this disease, studying the factors affecting it through different methodological considerations is of utmost importance. This study aimed to investigate the association between the four dietary patterns (DPs) derived from reduced-rank regression (RRR) and the risk of CVD predicted by the Framingham Risk Score (FRS) in the Arab residence of Khuzestan, Iran. Furthermore, the predefined Dietary Approaches to Stop Hypertension (DASH) would be used as a comparative model to assess the validity of the extracted DPs. In this cross-sectional study, 5799 individuals aged 35–70 without a CVD diagnosis were selected among the participants of the Hoveyzeh cohort study (HCS). The Risk of CVD was assessed using the FRS model. A semi-quantitative food frequency questionnaire evaluated dietary intake. Four DPs were derived using RRR with 28 food groups as predictors and total protein (g/d), fiber(g/d), fat(g/d), and magnesium intake (mg/d) as response variables. Multinomial and binary logistic regression were used to assess the relationship of DPs with intermediate (10–20%) and high (> 20%) levels of FRS and lower DASH scores (< 4.5), respectively. Four primary DPs were derived, which explained 89.10 of the total explained variance in participants’ dietary intake. Multinomial regression was applied between FRS (10–20%) and (> 20%) across quartiles of four identified DPs. After adjustment for potential confounders, higher tendency to 1st and 2nd DPs in Model 1, OR = 4.67 (95% CI 3.65; 6.01), OR = 1.42 (95% CI 1.13; 1.79) were presented accordingly. The 1st DP, characterized by higher intake of refined grains and lower intake of vegetables oil, sugar, mayonnaise and artificial juices, the 2nd DP characterized by higher intake of hydrogenated fat and lower consumption of tomato sauce and soft drink was associated with greater odds of CVD with the intermediate level of FRS. However, higher adherence to the 3rd DP, characterized by higher intake of fruits, vegetables and legumes and lower intake of fish, egg, red meat, processed meat, mayonnaise, sugar and artificial juices, the 4th DP characterized by higher intake of coffee, nuts and lower intake of sugar, mayonnaise and artificial juices was associated with a lower risk of FRS. Moreover, lower DASH score considered in binary logistic regression across quartiles of four identified dietary patterns. 1st and 2nd DPs were directly related to lower DASH scores, while 3rd and 4th DPs had high comparability with the DASH diet and inversely contributed to the lower DASH score. Total DASH score was significantly correlated to four derived DPs. Our findings confirm the current knowledge regarding the beneficial effects of healthy plant-based DPs and the avoidance of high-fat and processed foods to prevent CVD.

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Chronotype and leisure-time physical activity among civil servants in Japan: a cross-sectional analysis of the Aichi workers’ cohort study

Okegawa,

He,

Matsunaga

et al. 2024

Arch Public Health

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Dietary Patterns Derived from Reduced Rank Regression Are Associated with the 5-Year Occurrence of Metabolic Syndrome: Aichi Workers’ Cohort Study

Cited by 4 publications

References 83 publications

The Influence of Eating Habits on Type 2 Diabetes in Saudi Arabia: A Systematic Review

The Influence of Eating Habits on Type 2 Diabetes in Saudi Arabia: A Systematic Review

The dietary patterns derived by reduced-rank regression in association with Framingham risk score and lower DASH score in Hoveyzeh cohort study

Chronotype and leisure-time physical activity among civil servants in Japan: a cross-sectional analysis of the Aichi workers’ cohort study

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