Determinants of Metabolic Syndrome Among People With Substance Abuse

Verma, Madhur; Govil, Nikhil; Chahal, Savita; Kalra, Sanjay

doi:10.4088/pcc.21m03172

Cited by 2 publications

(4 citation statements)

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“…The mean systolic and diastolic blood pressure in our subjects did not reach anticipated values for hypertension, but they were significantly higher in HDM+ compared to HDM-. This has also been reported by other authors 4,16,17,38 . The association of IR and MS was reported as a result of impaired renal sodium metabolism, renin-angiotensinaldosterone, sympathetic nervous systems 39 and endothelial dysfunction 40 .…”

Section: Archives Of Public Healthsupporting

confidence: 90%

“…Dyslipidemia profile in HDM+ in this study was characterized by increased TGl, apoB, and decreased HDL-C and apoA-I concentrations. Increased TGl with decreased HDL-C have been described in studies investigating MS in HD 4,16,17,38 . At the same time, increased TGl are among the most common registered disorders in MS in this population group, but the association with HCV infection was not investigated 17,38,43 .…”

Section: Archives Of Public Healthmentioning

confidence: 91%

“…Increased TGl with decreased HDL-C have been described in studies investigating MS in HD 4,16,17,38 . At the same time, increased TGl are among the most common registered disorders in MS in this population group, but the association with HCV infection was not investigated 17,38,43 . Studies that report the effect of heroin on biochemical parameters associate this phenomenon with morphine direct effect of decreased li-polytic activity in adipocytes, which gradually reaches a level of tolerance 44 .…”

Section: Archives Of Public Healthmentioning

confidence: 91%

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Insulin resistance and metabolic syndrome in hepatitis C virus seronegative heroin dependents

Pereska,

Janicevic-Ivanovska,

Simonovska

et al. 2023

Arch Pub Health

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Initial studies on impaired glucose-insulin homeostasis in heroin dependents have not defined the impact of concomitant hepatitis C infection (HCV), which has been strongly associated with the development of insulin resistanceand metabolic syndrome (MS). The aim of our study was to evaluate the association of heroin dependence with glucose-insulin homeostasis and MS in heroin dependents with HCV seronegativity. Materials and methods: The study was prospective and cross-sectional, including 160 heroin dependents compared to a control group of 60 participants.MS was diagnosed using International Diabetes Federation criteria. The homeostatic model assessment for insulin resistance (HOMA-IR) and pancreatic β-cell function (HOMA-%B) were used for assessing insulin resistance and β-cell function of pancreas. Results: MS was detected in 9.32% of heroin addicts. Heroin dependents with MS compared to dependents without MS were older, had higher BMI, waist circumference and significantly higher systolic and diastolic blood pressure, increased triglycerides (F=8.233, df=2, p<0.001), apoB (F=8.154, df=2, p=0.001), and reduced HDL-C (F=25.926, df=2, p<0.001) and apoA-I (F=16.406, df=2, p<0.001), significantly increased inuslinemia (F=4.928, df=2, p<0.05), insulin resistance-HOMA-IR (F=4,928, df=2, p<0,05) and insignificantly increased pancreatic β-cell function (194.66 ±224.05) (F=2.461, df=2, p>0.05). Conclusions: Insulin resistance and МS, independent of HCV, was also registered in heroin dependence. Timely recognition will enable more successful treatment of comorbidities and illicit drug dependence.

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Section: Archives Of Public Healthsupporting

confidence: 90%

Section: Archives Of Public Healthmentioning

confidence: 91%

Section: Archives Of Public Healthmentioning

confidence: 91%

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Insulin resistance and metabolic syndrome in hepatitis C virus seronegative heroin dependents

Pereska,

Janicevic-Ivanovska,

Simonovska

et al. 2023

Arch Pub Health

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“…Our study depicted a lower prevalence of T2DM in current smokers and those frequently taking alcohol. It may be possible that such people have given up substance Otherwise, smoking and alcohol have proven detrimental effect on glycemic control and leads to metabolic syndrome [33].…”

Section: Discussionmentioning

confidence: 99%

Epidemiology of type 2 diabetes mellitus and treatment utilization patterns among the elderly from the first wave of Longitudinal Aging study in India (2017-18)using a Heckman selection model

2023

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Introduction Unmanaged Type 2 diabetes mellitus (T2DM) substantially contributes to the multi-morbidity of the elderly. Fewer research has concentrated on understanding the determinants of treatment utilization among older people, with even lesser concerns about missing data in outcome variables leading to biased estimates. The present study intends to evaluate the epidemiology of T2DM in the elderly in India and explore the socioeconomic and behavioral risk factors determining the treatment utilization among the elderly > 60 years in India by addressing the missing data to generate robust estimates. Methods The secondary analysis used data from the Longitudinal Ageing Study in India. The key dependent variables were the presence or absence of T2DM and treatment utilization. Descriptive statistics were used to understand the differences in the prevalence of diabetes and the utilization of treatment across various socio-demographic characteristics. Heckman’s statistical technique evaluated the predictors of T2DM and treatment utilization. Analysis was done using STATA software version 14.0. Results Almost 14% elderly reported to be living with T2DM. The odds of living with T2DM increased with non-working status, a sedentary lifestyle, and a higher BMI. A higher proportion of the elderly was on oral drugs than insulin and had been practicing lifestyle modifications to control their disease. The probability of developing T2DM was lower among females than males, but females had better odds for treatment utilization of health medication than males. Lastly, treatment utilization was significantly affected by socio-demographic characteristics like education and monthly per capita expenditure. Conclusions Treatment utilization by the elderly living with T2DM is significantly affected by socio-demographic characteristics. Keeping in mind the increasing proportion of the geriatric population in our country, it is pertinent to tailor-made counseling sessions for the elderly to improve medication utilization and adherence and realize our goals concerning non-communicable diseases.

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Determinants of Metabolic Syndrome Among People With Substance Abuse

Cited by 2 publications

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Insulin resistance and metabolic syndrome in hepatitis C virus seronegative heroin dependents

Insulin resistance and metabolic syndrome in hepatitis C virus seronegative heroin dependents

Epidemiology of type 2 diabetes mellitus and treatment utilization patterns among the elderly from the first wave of Longitudinal Aging study in India (2017-18)using a Heckman selection model

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