2022
DOI: 10.3390/ijerph19063384
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Structural Equation Modelling for Predicting the Relative Contribution of Each Component in the Metabolic Syndrome Status Change

Abstract: Understanding the factor weighting in the development of metabolic syndrome (MetS) may help to predict the progression for cardiovascular and metabolic diseases. Thus, the aim of this study was to develop a confirmatory model to describe and explain the direct and indirect effect of each component in MetS status change. A total of 3581 individuals diagnosed with MetS, aged 18–102 years, were selected between January 2019 and December 2020 from a community-representative sample of Portuguese adults in a north-e… Show more

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Cited by 9 publications
(18 citation statements)
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“…The mechanism behind the different magnitude of associations by age is unclear; however, we assume that different distribution of impaired MetS components across the age groups may affect the results. Similar to our assumption, a recent report from Teixeira et al [38] demonstrated that an increase in age may indirectly influence on a higher prevalence of MetS in both sexes. For example, as shown in Supplementary Figure S1, elevated TG levels in males and lowered HDL-C levels in females in the age groups 19-29 and 30-39 years accounted for the highest proportions of MetS, whereas elevated FG levels in males and elevated waist circumference in females accounted for the highest proportions of MetS in the age groups 50-59, 60-69, and 70-80 years.…”
Section: Discussionsupporting
confidence: 92%
“…The mechanism behind the different magnitude of associations by age is unclear; however, we assume that different distribution of impaired MetS components across the age groups may affect the results. Similar to our assumption, a recent report from Teixeira et al [38] demonstrated that an increase in age may indirectly influence on a higher prevalence of MetS in both sexes. For example, as shown in Supplementary Figure S1, elevated TG levels in males and lowered HDL-C levels in females in the age groups 19-29 and 30-39 years accounted for the highest proportions of MetS, whereas elevated FG levels in males and elevated waist circumference in females accounted for the highest proportions of MetS in the age groups 50-59, 60-69, and 70-80 years.…”
Section: Discussionsupporting
confidence: 92%
“…Sedentary behavior is associated with non-favorable self-rated health during pregnancy [40], as well as high prenatal systolic and/or diastolic blood pressure [41], inadequate gestational weight gain [42], and shorter gestation and inhibited fetal growth [43]. In the general population, another study showed a positive relationship between low PA levels and hypokinetic and cardio-metabolic diseases [44]. Vigorous activity levels are extremely low in this specific population of pregnant women [45], and in women with obesity in general [46].…”
Section: Discussionmentioning
confidence: 99%
“…Future studies could also consider the views of athletes and other team members about perceived coach crisis leadership behaviors as a way to compare the extent to which the athlete and coach data and corresponding results align. While Q-method is an appropriate exploratory approach to investigate coach crisis leadership, future research is recommended to apply other conventional methods such as multivariate and regressive statistical inferential approaches ( Flores et al, 2022 ; Teixeira et al, 2022 ) to further develop this topic. Last, researchers could observe the positive effects generated from the crisis event.…”
Section: Discussionmentioning
confidence: 99%