scholarly journals The risk of myocardial infarction is enhanced by a synergistic interaction between serum insulin and smoking

2002 ◽  
pp. 641-647 ◽  
Author(s):  
AM Bennet ◽  
K Brismar ◽  
J Hallqvist ◽  
C Reuterwall ◽  
U De Faire
Keyword(s):  
Myocardial Infarction ◽  
Serum Insulin ◽  
Model Assessment ◽  
Synergistic Interactions ◽  
Related Risk ◽  
Igf Binding ◽  
Low Levels ◽  
Igf Binding Protein ◽  
First Time ◽  
The Relationship

OBJECTIVES: To evaluate the relationship between levels of serum insulin, the homeostasis model assessment (HOMA) and IGF-binding protein-1 (IGFBP-1) as factors related to myocardial infarction (MI) risk, and their interaction with lifestyle-related risk factors. DESIGN: The Stockholm epidemiology programme (SHEEP), a case-control study, consisting of 749 first-time MI cases (510 men, 239 women) and 1101 healthy controls (705 men, 396 women) was used. METHODS: The risk of developing MI was assessed by calculating odds ratios (OR) and synergistic interactions (SI) between serum insulin, IGFBP-1, HOMA and other variables related to MI risk (including smoking) in men and women. RESULTS: Subjects with elevated levels of insulin and HOMA (>75th percentile) had increased MI risks when compared with individuals with low levels. ORs for elevated insulin and HOMA (adjusted for age and residential area) for men: insulin 1.6 (95% confidence interval (CI) 1.3-2.1) and HOMA 1.5 (95% CI 1.1-1.9) and for women: insulin 2.1 (95% CI 1.5-2.9) and HOMA 1.9 (95% CI 1.3-2.8). Women with low levels of IGFBP-1 (<10th percentile) showed a tendency towards elevated MI risk even if this was not statistically significant (OR 1.5 (95% CI 0.9-2.6)). Smokers with high levels of serum insulin had greatly increased MI risk (OR for men: 4.7 (95% CI 3.0-7.2) and OR for women: 8.1 (95% CI 4.5-14.8)). SI scores based upon these interactions were statistically significant. CONCLUSIONS: These results might have preventive cardiovascular implications as they clearly suggest that subjects with insulin resistance are particularly susceptible to the hazards of smoking.

scholarly journals Association between Serum Insulin-Like Growth Factor (IGF) I and IGF Binding Protein-3 and Lung Function

2009 ◽  
Vol 94 (7) ◽  
pp. 2452-2458 ◽  
Author(s):  
Sven Gläser ◽  
Nele Friedrich ◽  
Ralf Ewert ◽  
Christoph Schäper ◽  
Matthias Nauck ◽  
...  
Keyword(s):  
Growth Factor ◽  
Lung Function ◽  
Binding Protein ◽  
Serum Insulin ◽  
Insulin Like Growth Factor ◽  
Igf I ◽  
Igf Binding ◽  
Igf Binding Protein

scholarly journals Factors of psychological well-being of adolescents in the aspect of self-knowledge

2021 ◽  
Vol 122 ◽  
pp. 06004
Author(s):  
Inessa Leonidovna Feldman ◽  
Valery Sergeevich Agapov ◽  
Svetlana Vasilyevna Feoktistova ◽  
Oksana Ivanovna Griboyedova
Keyword(s):  
Well Being ◽  
Internal Factors ◽  
Psychological Well Being ◽  
Successful Communication ◽  
Scientific Opinion ◽  
Specific Factors ◽  
Self Knowledge ◽  
Low Levels ◽  
First Time ◽  
The Relationship

The premise for the present study lies in the lack of a unanimous scientific opinion on the relationship between self-knowledge and psychological well-being. The article presents the results of a study of the factors of psychological well-being of adolescents associated with their self-knowledge. The relevance of the conducted study is due to the need to integrate scientific knowledge on the internal factors contributing to psychological well-being. The scientific novelty is shaped by the fact that adolescents’ self-knowledge in the context of their psychological well-being is understudied and is examined for the first time. The study includes 500 adolescents aged 13-17 years old from schools in Tula, Lipetsk, and Moscow regions. The conducted factor analysis reveals common and specific factors of psychological well-being that are significant for adolescents with varying levels of psychological well-being. The common factors found in the entire sample are the desire for self-reflective analysis, for successful communication, for physical harmony, and for a meaningful perception of one’s future. The specific factors relevant for each group – adolescents with high, average, and low levels of psychological well-being – are also identified. The results of the analysis allow concluding that the psychological well-being of adolescents at different levels of psychological well-being is determined by factors related to self-knowledge. The presented work is of interest for researchers concerned with the problems of adolescents’ psychological well-being, as well as in designing educational programs and projects aimed at improving the psychological well-being of adolescents.

scholarly journals MON-104 The Relationship Between Metabolic Syndrome Indicators and Body Composition Measured by Bioelectrical Impedance Analysis Methods in Obese Children

2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Seulki Kim ◽  
Yoonji Lee ◽  
Na-yeong Lee ◽  
Seonhwa Lee ◽  
Yujung Choi ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Body Composition ◽  
Serum Insulin ◽  
Fat Free Mass ◽  
Model Assessment ◽  
Z Score ◽  
Good Tool ◽  
Prepubertal Children ◽  
Composition Data ◽  
The Relationship

Abstract Purpose: This study aimed to compare obesity indices with impedance analyzed body composition data, and to investigate the association between impedance analyzed body composition data and the prevalence of metabolic syndrome. Methods: 123 prepubertal children (49% girls 3-to-8- year-old, 51% boys 3-to-9-year-old) who are below or equal to body mass index (BMI, kg/m2) 85th percentile were retrospectively reviewed. Height, weight, waist circumference, blood pressure, serum lipid profiles, fasting plasma glucose and serum insulin were measured. Body fat percentile (BFP), fat-free mass (FFM) were measured by BIA and fat mass index (FMI), fat-free mass index (FFMI) were calculated. We investigated the relationship between metabolic syndrome indicators and body composition measured by BIA. Metabolic syndrome (MetS) was defined as including more than or equal to three of the metabolic abnormalities according to the modified National Cholesterol Education Program Adult Treatment Panel III. Results: The overall prevalence of MetS was found to be 15.4%(19/123). The prevalence of MetS, MetS indicators, and body composition measured by BIA were not significantly different between males and females. BMI z-score was positively correlated with BFP, FMI and FFMI (r=0.51, P=0.001; r=0.63, P=0.001; r=0.29, P=0.001, respectively), so was waist-to-height ratio (WHR) (r=0.57, P=0.001; r=0.70, P=0.001; r=0.33, P=0.001). Homeostatic model assessment for insulin resistance (HOMA-IR) index was associated to BFP, FFM, FMI, and FFMI (r=0.305, P=0.003; r=0.359, P=0.001; r=0.331, P=0.001; r=0.24, P=0.018, respectively). Regression analysis showed chronological age (CA) and BMI z-score affect HOMA-IR (β=0.61, P=0.001; β=0.93, P=0.002, respectively) and CA was considered as a potential risk factor of MetS (Odd ratio of 3.09 and 95 % confidence interval of 1.25–7.65). Conclusion: BIA seems to be a good tools for measuring obesity but not a good tool for predicting complications of obesity in prepubertal children. Further study is needed on the risk factors for complications of obesity in prepubertal children.

Sign in / Sign up

Export Citation Format

Share Document