Prevalence of metabolic syndrome among elderly Mexicans

Ortiz-Rodríguez, María Araceli; Yáñez-Velasco, L; Carnevale, Alessandra; Romero‐Hidalgo, Sandra; Bernal, Demetrio; Aguilar-Salinas, Carlos A.; Rojas, Rosalba; Villa, Antonio; Tur, Josep A.

doi:10.1016/j.archger.2017.09.001

Cited by 35 publications

(26 citation statements)

References 32 publications

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“…Similar to the findings of previous research, this study reported significant links between MetS and increased body weight (Ching et al 2018;Moreira et al 2014;Ortiz-Rodríguez et al 2017), waist circumference (Johari and Shahar 2014;Ortiz-Rodríguez et al 2017;Raposo et al 2017), body fat percentage (Johari and Shahar 2014;Ortiz-Rodríguez et al 2017) and BMI (Wu et al 2018). However, we did not find a significant difference across MetS status in any specific sociodemographic profile, total cholesterol level or LDL-c level.…”

Section: Contrarilysupporting

confidence: 90%

Prevalence of Metabolic Syndrome among Breast Cancer Survivors in East Coast of Peninsular Malaysia

Amirfaiz

Shahril

Lua

et al. 2020

Preprint

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To date, limited data are available on metabolic syndrome (MetS) prevalence among breast cancer survivors in Malaysia. Therefore, this study was conducted to determine the prevalence of MetS and abnormal MetS components among breast cancer survivors in East Coast of Peninsular Malaysia. This cross-sectional study included 95 breast cancer survivors (age 53.7±7.6 years) who have completed main cancer treatments for ≥6 months. Cancer survivors were recruited from two main government hospitals in Kelantan and Terengganu using a purposive sampling method. According to the Harmonized criteria, the MetS prevalence was 50.5%. Among those with MetS, the most prevalent abnormal metabolic components were triglycerides (91.2%), fasting blood glucose (79.6%) and HDL-c level (78.4%). Except for total cholesterol and LDL-c, all other MetS components were significantly different (p<0.05) between those with and without MetS. Significant differences between MetS and non-MetS groups were found for weight, BMI, waist circumference, body fat percentage and cancer stages (p<0.05). Otherwise, no significant difference was reported in other sociodemographic and clinical parameters between cancer survivors with and without MetS. In conclusion, MetS was highly prevalent among breast cancer survivors in this study, with weight, BMI, waist circumference, body fat percentage and cancer stages significantly affect MetS status.

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Section: Contrarilysupporting

confidence: 90%

Prevalence of Metabolic Syndrome among Breast Cancer Survivors in East Coast of Peninsular Malaysia

Amirfaiz

Shahril

Lua

et al. 2020

Preprint

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“…Noshad and colleagues reported the prevalence of elevated triglyceride as 37.39%, 38 while Ortiz-Rodriguez reported the prevalence of elevated triglyceride as 77.8% among 65year old elderly. 39 Reducing abdominal obesity to prevent MetS and its consequences should be a priority for prevention programs because reduced abdominal obesity is associated with reduced risk of MetS and adverse cardiovascular consequences.…”

Section: Discussionmentioning

confidence: 99%

Prevalence of metabolic syndrome and its components among a population-based study in south of Iran, PERSIAN Kharameh cohort study

Nikbakht

Rezaianzadeh

Seif

et al. 2020

Clinical Epidemiology and Global Health

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Objectives: over the past few years, lifestyle modification has increased the prevalence of major components of metabolic syndrome (MetS), leading to increased risk of non-communicable diseases, especially cardiovascular disease. The present study was aimed to determine the prevalence of MetS and its components and present results according to the major demographic characteristics of the participants in a population-based study. Methods: This cross-sectional study was conducted on a total of 10663 subjects aged 40-70 years who participated in phase one of PERSIAN Kharameh cohort carried out between 2014 and 2017. Result: According to IDF, ATP III, and an Iranian definition, the prevalence of MetS were reported as 37.00%(36.08-37.92), 33.82% (32.93-34.73), and 33.13% (32.24-34.03), respectively. The most prevalent component of MetS was abdominal obesity (73.59), followed by reduced HDL cholesterol levels (44.83), elevated triglyceride (28.3), fasting glucose (35.34), and high blood pressure (32.64). In addition, the prevalence of MetS were 50.3, 70.4, 68.2, 65.7, and 60.8 among individuals with abdominal obesity, high triglyceride levels, hypertension, impaired fasting glucose, and low HDL-C levels, respectively. Results showed that 90% of the subjects displayed at least one component of MetS, and all MetS components were associated with major demographic characteristics of the study subjects. Conclusions: The findings of this study indicate high prevalence of metabolic risk factors among study population. This study with a large sample size would contribute to establishment of efficient interventions and programs aimed at reducing the prevalence of MetS by health staff, supervisors and policymakers.

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“…Korean survey of cardiometabolic syndrome reported that there was an increasing trend of metabolic syndrome with elevating ages and with the highest rate among subjects older than 60 years (37.9%) [1]. Similarly, results from the SABE survey claimed that the prevalence of MetS was 66.0% in elderly women and 47.1% in elderly men which was closed to many previous studies [2][3][4]. Previous studies already con rmed that MetS were relatively more prevalent among urban residents when compared with rural residents [5,6].…”

Section: Introductionmentioning

confidence: 77%

Predictors of Cardiovascular Events in Elderly with Metabolic Syndrome from Rural Northeast China

Guo

et al. 2020

Preprint

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Background: Metabolic syndrome (MetS) had close relationship with cardiovascular events (CVEs). In the present study, among elderly with MetS, we intend to estimate the possible predictors of CVEs in order to prevent cardiovascular complications; among elderly without MetS, we aim to evaluate the possible risk factors for developing MetS in order to control it more effectively. Methods: In total 2869 elderly from rural China were enrolled. They took part in a physical examination and completed a questionnaire during 2012-2013 and were followed up during 2015-2017. Cox proportional hazards analysis was conducted to assess the possible predictors of CVEs and multivariate analysis was used to estimate the risk factors of newly diagnosed MetS. Results: Over a median follow-up of 4.66 years, 128 nonfatal or fatal cardiovascular events were documented and the cumulative incidence of MetS was 28.7% (36.3% for female; 24.3% for male). Cox proportional hazards analysis showed that family history of hypertension [Hazard ratio (HR): 1.694], current smoking (HR: 1.518), per 1 unit increase of systolic blood pressure (SBP) (HR: 1.016), and HDL-C (HR: 0.365) were strong predictors of newly onset CVEs among elderly with MetS at baseline. As for newly diagnosed MetS, male [Odd ratio (OR): 0.390] and proper sleep duration (8-9 hours/day) (OR: 0.580) served as protective factors. Furthermore, SBP (OR: 1.013), body mass index (OR: 1.178) and all lipid profiles were also associated factors of newly diagnosed MetS among elderly. Conclusions: Current smoking and relatively higher value of SBP, and HDL-C at baseline were correlated with higher possibility to have CVEs among elderly with MetS. In order not to develop MetS, elderly should pay more attention to metabolic parameters and have proper sleep duration.

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Prevalence of metabolic syndrome among elderly Mexicans

Cited by 35 publications

References 32 publications

Prevalence of Metabolic Syndrome among Breast Cancer Survivors in East Coast of Peninsular Malaysia

Prevalence of Metabolic Syndrome among Breast Cancer Survivors in East Coast of Peninsular Malaysia

Prevalence of metabolic syndrome and its components among a population-based study in south of Iran, PERSIAN Kharameh cohort study

Predictors of Cardiovascular Events in Elderly with Metabolic Syndrome from Rural Northeast China

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