Association of Age and Sex with Metabolic Syndrome in Taiwanese Adults

Liu, Pang-Li; Hsu, Ming‐Yi; Hu, Chao-Chin; Tantoh, Disline Manli; Lu, Wen-Yu; Nfor, Oswald Ndi; Liaw, Yung‐Po

doi:10.2147/ijgm.s296814

Cited by 10 publications

(6 citation statements)

References 58 publications

(48 reference statements)

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“…The results of this study showed that age, residence, occupation, history of hyperlipidemia, history of hyperuricemia, hip circumference, HbA1c, BMI, and RHR were related to MetS. A study in Taiwan Province, China addressed that residents aged 50-70 had a higher risk of MetS than residents aged 30-50 [17]. As we all know, MetS is closely related to obesity, hyperglycemia, hypertension.…”

Section: Discussionmentioning

confidence: 76%

Development and validation of a nomogram to estimate future risk of metabolic syndrome in middle-aged and elderly people

谢,

Liu,

Liu

et al. 2023

Preprint

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Aims This study aimed to investigate the prevalence of Metabolic syndrome (MetS) and its influencing factors among middle-aged and elderly Chinese, and to develop a nomogram for predicting MetS. Methods This cross-sectional study were the follow-up visits of the Gannan Medical University cohort study. The participants were permanent residents aged 35 years and above living in Ganzhou, Jiangxi, China. MetS was defined according to the Chinese Diabetes Society (CDS) criteria. Participants’ demographics, history of illness, blood biochemistry data, and anthropometric variables were enrolled into screen significant variables for prediction model of MetS, Subsequently, the data was divided into a training set and a validation set, and nomogram were performed to develop the predictive model of MetS. The training set was used for nomogram model construction and internal verification, and the validation set was used for external verification. Nomogram performance was assessed based on receiver operating characteristic curve (ROC) analysis, calibration curves, and decision curve analysis (DCA). Results A total of 1581 participants were enrolled in the study, and the prevalence of MetS was 27.39% (95%CI:25.19%-29.59%). The age-standardized prevalence was 12.51%. Nine variables (age, residence, occupation, hyperlipidemia, hyperuricemia, family history of hypertension, hip circumference, glycated hemoglobinA1c (HbA1c), BMI, resting heart rate (RHR)) were identified as influencing factors of MetS. The participants were randomly divided into a development cohort (n = 1107,70%) and a validation cohort (n = 474, 30%). The nomogram was verified by internal validation (Area Under Curve (AUC): 0.844) and external validation (AUC: 0.825). The calibration plots showed good agreement in the training sets. Conclusion The prevalence rate of MetS is high in Ganzhou, Jiangxi, China. The nomogram based on nine variables has a good predictive efficacy and can be used to predict the risk of MetS in middle-aged and elderly people.

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Section: Discussionmentioning

confidence: 76%

Development and validation of a nomogram to estimate future risk of metabolic syndrome in middle-aged and elderly people

谢,

Liu,

Liu

et al. 2023

Preprint

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“…While a positive relationship between age and MetS has been reported [28,29], the relationship between sex and MetS has been inconsistent. Several studies revealed conflicting results of the sex differences in prevalence of MetS from disparate populations [5,[30][31][32][33]. Whether the sex differences exist with certain distribution in metabolic/obesity phenotypes is unclear.…”

Section: Discussionmentioning

confidence: 99%

Metabolic and Obesity Phenotype Trajectories in Taiwanese Medical Personnel

Chang

et al. 2022

IJERPH

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The distribution of metabolic and obesity phenotypes in Taiwanese medical personnel is unknown. In this study, trajectory analysis with repeated measurements was used to explore the development and associated risk factors of different metabolic and obesity phenotypes in hospital staff from a Taiwanese medical center. The results demonstrated that metabolically unhealthy workers presented with a higher body mass index (BMI) compared with their metabolically healthy counterparts. Male and aged > 40 years hospital workers were more likely to be in a deleterious metabolic/obesity state. Meanwhile, profession and working hours were not significantly associated with the development of certain phenotypes in our study. These results shed light on the necessity of adequate data retrieval regarding working hours, and a nuanced examination of working conditions among different professions. Our findings are helpful for the development of advanced guidance regarding health promotion in hospital workers.

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“…Hyperuricemia was defined as uric acid > 7.2 mg/dL in men, >6.5 mg/dL in women, or that under urate-lowering therapy. MtS was defined by the meeting of at least 3 of the following 5 criteria proposed by the Health Promotion Administration, Ministry of Health and Welfare of Taiwan: (1) fasting blood glucose ≥ 100 mg/dL or previously diagnosed DM; (2) systolic blood pressure ≥130 mmHg or diastolic blood pressure ≥85 mmHg or a previous diagnosis of HTN; (3) high-density lipoprotein cholesterol < 40 mg/dL in men or <50 mg/dL in women; (4) triglyceride ≥ 150 mg/dL; and (5) waist circumference ≥ 90 cm in men or ≥80 cm in women [ 31 ].…”

Section: Methodsmentioning

confidence: 99%

The Association between Iron Deficiency and Renal Outcomes Is Modified by Sex and Anemia in Patients with Chronic Kidney Disease Stage 1–4

Chao

Kuo

et al. 2023

JPM

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Iron deficiency is prevalent in women and patients with chronic kidney disease (CKD). Iron deficiency is not only related to anemia but contributes to adverse consequences for the kidney as well. Whether iron status is associated with renal outcomes after considering sex and anemia in patients with CKD stage 1–4 is unclear. Thus, we investigated the association of iron or iron saturation with renal outcomes in a CKD cohort. During a follow-up of 8.2 years, 781 (31.2%) patients met the composite renal outcome of renal replacement therapy and a 50% decline in renal function. In linear regression, iron was associated with sex, hemoglobin (Hb), and nutritional markers. In a fully adjusted Cox regression model, the male patients with normal iron had a significantly decreased risk of renal outcomes (hazard ratio (HR) 0.718; 95% confidence interval (CI) 0.579 to 0.889), but the female patients did not exhibit this association. The non-anemic patients (Hb ≥ 11 g/dL) had a decreased risk of renal outcomes (HR 0.715; 95% CI 0.568 to 0.898), but the anemic patients did not. In the sensitivity analysis, transferrin saturation (TSAT) showed similar results. When comparing iron and TSAT, both indicators showed similar prognostic values. In conclusion, iron deficiency, indicated by either iron or iron saturation, was associated with poor renal outcomes in the male or non-anemic patients with CKD stage 1–4.

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Association of Age and Sex with Metabolic Syndrome in Taiwanese Adults

Cited by 10 publications

References 58 publications

Development and validation of a nomogram to estimate future risk of metabolic syndrome in middle-aged and elderly people

Development and validation of a nomogram to estimate future risk of metabolic syndrome in middle-aged and elderly people

Metabolic and Obesity Phenotype Trajectories in Taiwanese Medical Personnel

The Association between Iron Deficiency and Renal Outcomes Is Modified by Sex and Anemia in Patients with Chronic Kidney Disease Stage 1–4

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