Prevalence of Metabolic Syndrome and its Individual Features Across Different (Normal, Overweight, Pre-Obese and Obese) Body Mass Index (BMI) Categories in a Tertiary Hospital in the Philippines

Mata, Annabel; Jasul, Gabriel

doi:10.15605/jafes.032.02.04

Cited by 9 publications

(7 citation statements)

References 11 publications

(11 reference statements)

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“… 17 , 18 For instance, Mata et al observed a noteworthy connection between high BMI and MetS in their retrospective study of the Philippine population. 19 Similarly, Ofer et al reported that a BMI below 30 carries a predictive value of over 90% for excluding MetS. 20 …”

Section: Discussionmentioning

confidence: 99%

Prevalence of metabolic syndrome in East Azerbaijan-Iran and its determinants factors

Farshbaf Khalili,

Razzaghi,

Nikniaz

et al. 2023

J Cardiovasc Thorac Res

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Introduction: Metabolic syndrome (MetS) is a prevalent metabolic disorder with increasing prevalence attributed to extended life expectancy. This study aims to investigate MetS prevalence and its determinants in the East-Azerbaijan population. Methods: Conducted as a cross-sectional study within the East Azerbaijan region, this research is based on a major Lifestyle Promotion Project. The study encompasses 700 participants aged 15 to 65 years, representing the general population and selected using probability proportional to size multistage stratified cluster sampling. MetS diagnoses were conducted using the adult Panel III criteria. Data on socio-demographics, smoking status, and physical activity levels were collected through questionnaires. Results: Among participants, the mean age was 42.4±12.38 years, and the mean body mass index was 27.69±4.94 kg/m2. The MetS group exhibited higher mean age and body mass index compared to the non-MetS group (P<0.001). The prevalence of MetS in the population was 34.2%, with higher rates in females (37.1%) compared to males (30.5%), though this difference wasn’t statistically significant (P=0.11). Notably, a substantial distinction was observed between the two groups regarding education levels (P<0.001). Conclusion: The study reveals a significant association between increasing age and higher prevalence of MetS. Furthermore, lower educational levels were linked to an elevated prevalence of MetS. While other socio-demographic factors didn’t demonstrate statistically significant relationships, these findings emphasize the importance of targeted interventions and education in mitigating MetS risks.

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Section: Discussionmentioning

confidence: 99%

Prevalence of metabolic syndrome in East Azerbaijan-Iran and its determinants factors

Farshbaf Khalili,

Razzaghi,

Nikniaz

et al. 2023

J Cardiovasc Thorac Res

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“…Obesity is less prevalent among the people we studied. Mata A et al observed significant prevalence of metabolic syndrome in people with normal BMI; therefore, screening and diagnosis should not be limited to those with a higher BMI [15] .…”

Section: Discussionmentioning

confidence: 99%

Markers of Oxidative Stress in Metabolic Syndrome and Antioxidants as an Add-on Therapy in the Reversal of Changes

Soundharapandiyan

Rajaram

SR³

2022

International Journal of Medical Arts

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Article informationBackground: Metabolic syndrome is a collection of dyslipidemia, central obesity, hypertension, and diabetes. Pathogenesis is influenced by psychological and oxidative stress. RBCs can also be damaged by oxidative stress. [Crenated cells with Heinz bodies]. The Aim of The Work:To analyze the red blood cell morphological changes as oxidative stress markers and to investigate the efficacy of vitamins C and E as supplements to standard metabolic syndrome treatment.Patients and Methods: For eight weeks, 60 patients with diabetes, hypertension, and dyslipidemia who had been on medication for 1-2 years were randomly assigned to one of two groups: standard treatment alone or vitamin C capsule 500mg once daily [OD] and vitamin E 400 mg OD in addition to standard treatment. Standard treatment includes Enalapril 5 mg twice daily [BD] and/or tablet Amlodipine 5 mg OD, Metformin 500 mg BD, and Atorvastatin 10 mg at bedtime [HS]. Both groups were monitored for four weeks after treatment. At 0, 4, and 8 weeks, parameters such as red blood cell [RBC] morphological changes, fasting blood sugar, blood pressure, and lipid profile were examined. Results: Both groups had similar baseline characteristics. When compared to the control group, the study group had a significant reduction in fasting blood sugar [p = 0.023], an increase in high density lipoprotein [HDL] [p = 0.03], low density lipoprotein [LDL] [p = 0.001], systolic blood pressure [p = 0.024], diastolic blood pressure [p = 0.005], percentage of crenated RBCs with Heinz bodies [p<0.001], and total cholesterol [p<0.001]. Conclusion:Vitamin C and E as add-on therapy to the standard treatment is effective in reducing insulin resistance, blood pressure, and improving the lipid profile.

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“…Body mass index (BMI) indicators were categorized into five distinct groups: BMI < 18.4—indicative of underweight; BMI ≥ 18.5 and < 24.9—reflecting normal weight; BMI ≥ 25 and < 29.9—indicative of overweight; BMI ≥ 30 and < 34.9—representing obesity of the first degree; and BMI > 35—characterizing obesity of the second degree ( 7 ). The BMI was calculated using a standardized protocol based on the WHO guidelines.…”

Section: Methodsmentioning

confidence: 99%

Sex differentials in the prevalence of behavioral risk factors and non-communicable diseases in adult populations of West Kazakhstan

Baspakova,

Abitova,

Mussin

et al. 2024

Front. Public Health

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IntroductionThe prevalence of non-communicable diseases (NCDs) is increasing worldwide. Several modifiable risk factors, such as smoking, alcohol drinking, physical inactivity, and obesity, have been linked to the development of NCDs in both genders. Understanding the prevalence of these risk factors and their associated factors is crucial for effective intervention planning in adult populations. This study aimed to provide an overview of the prevalence and associated factors of these risk behaviors among different genders of adults in West Kazakhstan.MethodsA cross-sectional study was conducted in four regions of West Kazakhstan. A stratified multistage sampling technique was utilized to obtain a representative sample size of 4,800 participants aged 18 -69 years. Trained researchers administered face-to-face interviews using validated questionnaires to gather information pertaining to sociodemographic characteristics, smoking habits, alcohol drinking, dietary patterns, physical activity levels, body mass index (BMI), and prevalent diseases.ResultsThis study, which included 4,800 participants from West Kazakhstan, revealed some striking numerical findings. The overall prevalence rates of behavioral risk factors and metabolic conditions were as follows: smoking was 13.6% (95%CI: 3.2–24.0%), alcohol drinking was 47.0% (27.7–66.3%), current obesity was 22.3% (9.0–35.6%), and physical inactivity was 80.7% (55.4–106.0%). In addition, the overall prevalence rates of metabolic conditions were 25.6% (11.3–39.9%) for hypertension, 7.5% (0.2–15.2%) for diabetes, 11.8% (2.1–21.5%) for high cholesterol, and 13.0% (2.8–23.2%) for cardiovascular diseases. Additionally, a higher prevalence of high cholesterol was observed in men, and a greater prevalence of heart disease was identified in women. Multinomial logistic regression revealed that physical inactivity was associated with hypertension, diabetes, and heart disease, while obesity was linked to hypertension, high cholesterol, and heart disease.DiscussionThis study in West Kazakhstan identified variations in the prevalence of behavioral risk factors and NCDs, highlighting gender, age, and regional disparities. Notably, men showed higher rates of smoking and alcohol drinking, while women exhibited a greater prevalence of physical inactivity and obesity. Gender and regional differences were evident, with the West Kazakhstan region standing out for distinct patterns. Tailored interventions are crucial to address these disparities and enhance public health in the region.

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Prevalence of Metabolic Syndrome and its Individual Features Across Different (Normal, Overweight, Pre-Obese and Obese) Body Mass Index (BMI) Categories in a Tertiary Hospital in the Philippines

Cited by 9 publications

References 11 publications

Prevalence of metabolic syndrome in East Azerbaijan-Iran and its determinants factors

Prevalence of metabolic syndrome in East Azerbaijan-Iran and its determinants factors

Markers of Oxidative Stress in Metabolic Syndrome and Antioxidants as an Add-on Therapy in the Reversal of Changes

Sex differentials in the prevalence of behavioral risk factors and non-communicable diseases in adult populations of West Kazakhstan

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