Biopsychosocial Contributors to Metabolic Syndrome

Saylor, Jennifer; Friedmann, Erika

doi:10.1097/nnr.0000000000000121

Cited by 9 publications

(6 citation statements)

References 31 publications

(40 reference statements)

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“…Although our findings demonstrated that physical activity significantly decreased the risk of MetS only in young adult males, our ability to determine causality is limited due to the cross-sectional study design. Our findings are, however, consistent with those of a previous study (Saylor & Friedmann, 2015), which indicated that physical activity is associated with a lower risk of developing MetS. In one study, males exhibited significantly larger improvements in insulin sensitivity than did females following an exercise-training program in the absence of substantial weight loss (Boulé et al, 2005).…”

Section: Unhealthy Lifestyle Behaviors Associated With the Risk Of Mesupporting

confidence: 92%

Associations Between Unhealthy Lifestyle Behaviors and Metabolic Syndrome by Gender in Young Adults

Lin

Chiou

Kuo³

et al. 2018

Biological Research For Nursing

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Objective: Unhealthy lifestyle behaviors, such as smoking, drinking, betel-quid chewing, insufficient exercise, and inadequate sleep are significantly correlated with metabolic syndrome (MetS). To further understand this relationship, this study examined the main effect of unhealthy lifestyle behaviors and their interaction on MetS by gender in young adults. Method: A cross-sectional study involving 694 young adults from a national survey was performed in which demographic characteristics, unhealthy lifestyle behaviors, anthropometric measurements, and blood chemistry panels were collected during face-to-face interviews. Results: The prevalence of MetS among young adults was 17.4% and was greater in males than females (19.0% vs. 7.8%). The unhealthy lifestyle-behavior risk factors associated with MetS included smoking (odds ratio [ OR] = 4.53) and physical activity ( OR = 0.51) among males and betel-quid chewing ( OR = 8.90) and less sleep ( OR = 0.08) among females. Significant interaction effects were observed between the abovementioned behaviors and gender for the risk of developing MetS. Conclusion: These results can guide health-care providers in reducing MetS risk by encouraging young adult males to reduce or quit cigarette smoking and maintain optimum levels of physical activity and young adult females to quit chewing betel quid and obtain appropriate amounts of sleep.

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Section: Unhealthy Lifestyle Behaviors Associated With the Risk Of Mesupporting

confidence: 92%

Associations Between Unhealthy Lifestyle Behaviors and Metabolic Syndrome by Gender in Young Adults

Lin

Chiou

Kuo³

et al. 2018

Biological Research For Nursing

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“…for men; (2) Fasting blood glucose ≥ 100 mg/dL; (3) Serum triglycerides ≥ 150 mg/dL; (4) Blood pressure ≥ 135/85 mm Hg; and (5) HDL (“good”) cholesterol < 40 mg/dL for men or < 50 mg/dL for women. MetS was defined as an individual has three or more risk factors (Saylor and Friedmann, 2015). …”

Section: Methodsmentioning

confidence: 99%

“…Individuals with MetS are also at increased risk of morbidity and mortality from stroke, and myocardial infarction compared to those without the syndrome (Kaur, 2014). In the United States, the number of individuals diagnosed with MetS rose from 47 million in 2000 to 76 million in 2009 with only a slight decrease in 2010 (Saylor and Friedmann, 2015). From 2011 to 2012, the overall prevalence of MetS stood at 34.7% of the US population with the greatest burden in those 60 years and older (Aguilar et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Self-reported health and behavioral factors are associated with metabolic syndrome in Americans aged 40 and over

Liu

Ozodiegwu

Nickel

et al. 2017

Preventive Medicine Reports

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To determine whether behavioral factors differ among metabolic conditions and self-reported health, and to determine whether self-reported health is a valid predictor of metabolic syndrome (MetS). A total of 2997 individuals (≥ 40 years old) were selected from four biennial U.S. National Health and Nutrition Examination Surveys (2007–2014). A set of weighted logistic regression models were used to estimate the odds ratios (ORs) and 95% confidence intervals (CIs)Individuals with light physical activity are more likely to have MetS and report poor health than those with vigorous physical activity with OR = 3.22 (95% CI: 2.23, 4.66) and 4.52 (95% CI: 2.78, 7.33), respectively. Individuals eating poor diet have greater odds of developing MetS and reporting poor health with OR = 1.32 (95% CI: 1.05, 1.66) and 3.13 (95% CI: 2.46, 3.98). The aforementioned relationships remained significant after adjustment for demographic and socio-economic status. A potential intervention strategy will be needed to encourage individuals to aggressively improve their lifestyle to reduce MetS and improve quality of life. Despite the significant association between self-reported health with MetS, a low sensitivity indicated that better screening tools for MetS, diabetes and cardiovascular disease are essential.

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“…inszomnia, alvási apnoe szindróma, narkolepszia vagy nyugtalan láb szindróma stb. (7,8). Az alvás az életben maradáshoz nélkülözhetetlen szükséglet a szervezet számára (4,9).…”

Section: Az Alvásról éS Alvászavarokrólunclassified

Az alvászavar és a metabolikus szindróma kapcsolata

Rafael¹,

Perényi²,

Kósa³

2019

Cardiologia Hungarica

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Biopsychosocial Contributors to Metabolic Syndrome

Abstract: There is a need for large-scale, longitudinal, and interventional studies to evaluate and alter these potential risk factors, thus reducing MetS.

Cited by 9 publications

References 31 publications

Associations Between Unhealthy Lifestyle Behaviors and Metabolic Syndrome by Gender in Young Adults

Associations Between Unhealthy Lifestyle Behaviors and Metabolic Syndrome by Gender in Young Adults

Self-reported health and behavioral factors are associated with metabolic syndrome in Americans aged 40 and over

Az alvászavar és a metabolikus szindróma kapcsolata

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