scholarly journals Lifetime History of Major Depression Predicts the Development of the Metabolic Syndrome in Middle-Aged Women

2009 ◽  
Vol 71 (3) ◽  
pp. 266-272 ◽  
Author(s):  
Edie M. Goldbacher ◽  
Joyce Bromberger ◽  
Karen A. Matthews
Keyword(s):  
Metabolic Syndrome ◽  
Major Depression ◽  
Middle Aged ◽  
Lifetime History ◽  
The Metabolic Syndrome ◽  
History Of

scholarly journals Major Depression and the Metabolic Syndrome

2010 ◽  
Vol 13 (4) ◽  
pp. 347-358 ◽  
Author(s):  
Debra L. Foley ◽  
Katherine I. Morley ◽  
Pamela A. F. Madden ◽  
Andrew C. Heath ◽  
John B. Whitfield ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Major Depression ◽  
Significant Risk ◽  
Density Lipoprotein ◽  
The United States ◽  
Evidence Base ◽  
Lifetime History ◽  
The Metabolic Syndrome ◽  
Published Evidence ◽  
History Of

AbstractThe aim of this study is to characterize the relationship between major depression and the metabolic syndrome in a large community based sample of Australian men and women aged 26–90 years. A lifetime history of major depression was assessed by telephone interview following the DSM–III-R. A current history of metabolic syndrome was assessed following the United States National Cholesterol Education Program Adult Treatment Panel III (NCEP AP-III) guidelines 1 to 3 years later. Logistic regression was used to estimate the association between depression and the metabolic syndrome, and its component criteria, controlling for age, sex and alcohol dependence. There was no association between a lifetime history of major depression and the presence of the metabolic syndrome. There was a weak association between depression and low high-density lipoprotein cholesterol but not with other component criteria of the metabolic syndrome. Despite calls for interventions directed at depression to reduce the onset of the metabolic syndrome there are important failures to replicate in large samples such as this, no consensus regarding the threshold at which depression may pose a significant risk even allowing for heterogeneity across populations, and no consensus regarding confounders that may explain inter-study differences. The absence of any dosage effect of depression on the associated risk for the metabolic syndrome in other unselected samples does not support a direct causal relationship. The call for intervention studies on the basis of the currently published evidence base is unwarranted.

scholarly journals Factors Associated with Metabolic Syndrome Among Middle-Aged Women in Their 50s: Based on National Health Screening Data

2020 ◽  
Vol 17 (9) ◽  
pp. 3008 ◽  
Author(s):  
HyungSeon Kim ◽  
YeonHee Cho
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
National Health ◽  
Working Women ◽  
Middle Aged ◽  
Family History Of Diabetes ◽  
Factors Associated ◽  
The Metabolic Syndrome ◽  
Increased Risk ◽  
History Of

This study aimed to identify the risk factors associated with metabolic syndrome among middle-aged women in their 50s to provide a strategy for managing the metabolic syndrome of those whose prevalence is rapidly increasing. Secondary data from the 2012 Korean National Health Insurance Service Medical check-up cohort database were analyzed. Participants included 36,582 middle-aged women in their 50s from the cohort who received a general medical check-up. The risk factors were estimated using logistic regression analysis. Metabolic syndrome was identified in 14.6% of the surveyed persons among middle-aged women in their 50s. Working women, low household income levels, country residents, high body mass index (BMI), total cholesterol of over 240 mg/dL, non-drinker, non-exerciser, history of diabetes or hypertension, and family history of diabetes were associated with increased risk of metabolic syndrome. It is necessary to prepare a strategy to increase access to health care services so that socioeconomic vulnerability does not lead to negative health behavior such as obesity and lack of physical activity. In particular, we recommend active interventions at workplaces for the working women who have a higher risk of metabolic syndrome.

scholarly journals Castelli risk indexes 1 and 2 are higher in major depression but other characteristics of the metabolic syndrome are not specific to mood disorders

Life Sciences ◽  
2014 ◽  
Vol 102 (1) ◽  
pp. 65-71 ◽  
Author(s):  
Heber Odebrecht Vargas ◽  
Sandra Odebrecht Vargas Nunes ◽  
Décio Sabbatini Barbosa ◽  
Mateus Mendonca Vargas ◽  
Ariane Cestari ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Major Depression ◽  
Mood Disorders ◽  
The Metabolic Syndrome

The Association Between Uric Acid and Hepatic Function Markers With the Metabolic Syndrome in Middle-aged, Overweight, and Obese People

2010 ◽  
Vol 20 (6) ◽  
pp. 312-315
Author(s):  
Angelos A. Evangelopoulos ◽  
Natalia G. Vallianou ◽  
Demosthenes B. Panagiotakos ◽  
Aikaterini T. Georgiou ◽  
Georgios A. Zacharias ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Uric Acid ◽  
Hepatic Function ◽  
Middle Aged ◽  
Obese People ◽  
The Metabolic Syndrome

Association between Patients with Metabolic Syndrome and Other Various Factors Defining Metabolic Syndrome: A Cross-Sectional Study

2021 ◽  
Vol 8 (4) ◽  
pp. 12-17
Author(s):  
Basavaraj PG ◽  
Ashok P Yenkanchi ◽  
Chidanand Galagali
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Cardiovascular Diseases ◽  
Abdominal Obesity ◽  
Positive History ◽  
The Metabolic Syndrome ◽  
Study Results ◽  
History Of ◽  
The Mean

Background: Risk factors can lead to clinical conditions, like metabolic syndrome, that predisposes the development of cardiovascular diseases. Objective: The goal of this population-based, prospective and non-randomised cohort study was to study the association between patients with metabolic syndrome and other various factors defining metabolic syndrome. Methods: All the patients referred to the department of Medicine, Al-Ameen Medical college hospital and District Hospital, Vijayapur, Karnataka, India over a period of twenty-two months extending from December 2013 to September 2015 were considered in this study. Results: In the current study, out of 100 patients, 62.9% patients had metabolic syndrome with positive family history of hypertension, diabetes mellitus. 70.8% patients had metabolic syndrome with positive history of smoking. 64.3% patients had metabolic syndrome with positive history of alcohol .73.9% patients had metabolic syndrome with positive history of IHD. 87% of the patients with metabolic syndrome had SBP> 130 mmHg, and 78.85% patients had DBP>85 mmHg. And metabolic syndrome was observed in 71.8% patients on anti hypertensive drugs. The mean level of total cholesterol, LDL cholesterol, triglyceride is increased whereas the mean level of anti-atherogenic HDL cholesterol is low in subjects with MS. At least one lipid abnormality was present in > 95 % of cases. Around 81% subjects with BMI <25 (out of 38) had metabolic syndrome and 58% subjects with BMI>25(out of 62) had metabolic syndrome. Conclusion: All the components defining the metabolic syndrome correlated positively with the abdominal obesity. Systolic blood pressure values were significantly higher than diastolic blood pressure in subjects with abdominal obesity. Metabolic syndrome has multiple risk factors determined by various aspects like the race, the life style, geographical factors larger study is needed to understand the correlation between various components defining it. A healthy lifestyle, that includes avoiding tobacco exposure and proper weight control, must be encouraged in this high-risk population. Keywords: Cardiovascular diseases; Overweight; Risk factors; Smoking.

scholarly journals Prevalence of Diastolic Dysfunction in Non Diabetic Patients of Metabolic Syndrome

2021 ◽  
Author(s):  
Kaushiki Kirty ◽  
Prabha Adhikari
Keyword(s):  
Metabolic Syndrome ◽  
Risk Factor ◽  
Diastolic Dysfunction ◽  
Strong Correlation ◽  
Past History ◽  
Diabetic Patients ◽  
Short Term ◽  
The Metabolic Syndrome ◽  
History Of

Abstract Background :The purpose of the present study was to study the prevalence of metabolic syndrome in non diabetic patients of metabolic syndrome Materials and Methods: 100 patients of non diabetic metabolic syndrome were screened using 2-D Echocardiogram.Results: 34% of non diabetic patients of metabolic syndrome had diastolic dysfunction, with no association found between the components of metabolic syndrome and diastolic dysfunction. There was a strong correlation between a past history of hypertension and dyslipidemia with diastolic dysfunction.Conclusion: Our findings suggest that long standing metabolic syndrome is a risk factor for diastolic dysfunction, rather than short term elevation of the metabolic syndrome parameters. Also it is likely that Diabetes and Prediabetes itself is responsible for most of the diastolic dysfunction that is seen in metabolic syndrome

scholarly journals Reliability of a lifetime history of major depression: implications for heritability and co-morbidity

1998 ◽  
Vol 28 (4) ◽  
pp. 857-870 ◽  
Author(s):  
D. L. FOLEY ◽  
M. C. NEALE ◽  
K. S. KENDLER
Keyword(s):  
Major Depression ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Familial Risk ◽  
Ratio Test ◽  
Psychiatric Interview ◽  
Lifetime History ◽  
Co Morbidity ◽  
Familial Influences ◽  
History Of

Background. In unselected samples, the diagnosis of major depression (MD) is not highly reliable. It is not known if occasion-specific influences on reliability index familial risk factors for MD, or how reliability is associated with risk for co-morbid anxiety disorders.Methods. An unselected sample of 847 female twin pairs was interviewed twice, 5 years apart, about their lifetime history (LTH) of MD, generalized anxiety disorder (GAD) and panic disorder (PD). Familial influences on reliability were examined using structural equation models. Logistic regression was used to identify clinical features that predict reliable diagnosis. Co-morbidity was characterized using the continuation ratio test.Results. The reliability of a LTH of MD over 5 years was fair (κ=0·43). There was no evidence for occasion-specific familial influences on reliability, and heritability of reliably diagnosed MD was estimated at 66%. Subjects with unreliably diagnosed MD reported fewer symptoms and, if diagnosed with MD only at the first interview, less impairment and help seeking, or, if diagnosed with MD only at the second interview, fewer episodes and a longer illness. A history of co-morbid GAD or PD is more prevalent among subjects with reliably diagnosed MD.Conclusions. A diagnosis of MD based on a single psychiatric interview incorporates a substantial amount of measurement error but there is no evidence that transient influences on recall and diagnosis index familial risk for MD. Quantitative indices of risk for MD based on multiple interviews should reflect both the characteristics of MD and the temporal order of positive diagnoses.

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