scholarly journals Clinical Spectrum, Risk Factors, and Behavioral Abnormalities among Dementia Subtypes in a North Indian Population: A Hospital-Based Study

2017 ◽  
Vol 7 (2) ◽  
pp. 257-273 ◽  
Author(s):  
Suman Kushwaha ◽  
Puneet Talwar ◽  
Aldrin Anthony ◽  
Meena Gupta ◽  
Kiran Bala ◽  
...  
Keyword(s):  
Risk Factors ◽  
Rural Areas ◽  
Indian Population ◽  
Positive Family History ◽  
Behavioral Pattern ◽  
Clinical Spectrum ◽  
North Indian Population ◽  
Large Hospital ◽  
Behavioral Abnormalities

Background: As variability in the clinical profile of dementia subtypes had been reported with regional differences across the world, we conducted a retrospective hospital-based study in a North Indian population. Methods: We retrieved patient records from 2007 to 2014 for details of clinical evaluation, diagnosis, neuroimaging, biochemical investigations, and follow-up of 1,876 patients with dementia (PwD), and the data were analyzed using descriptive statistics. Results: Of the total PwD, Alzheimer disease (AD) accounted for 30% followed by vascular dementia (VaD) 26%, mixed dementia (MD) 21%, Parkinson-related dementia 11%, frontotemporal dementia (FTD) 7%, and infective dementia 5%. Of all PwD excluding the infective group (n = 1,777), 63% were men, 39% were from rural areas, 87% had behavioral abnormalities along with cognitive deficits, and 73% had impaired ADLs. Among dementia subtypes, a positive family history, cardiovascular and metabolic risk factors, and behavioral abnormalities were found to be distributed. However, there existed a predominance of specific behavioral pattern in each subtype. The mean duration of follow-up varied from 2.9 ± 2.3 (VaD) to 3.6 ± 2.1 (AD) and greater than 30% were found to be stable on treatment (except in dementia with Lewy body). Conclusions: This large hospital-based study provides a distribution pattern and clinical spectrum of dementia subtypes in a North Indian population.

Risk factors and features of stroke among young persons in urban and rural areas of the Tambov Region

2021 ◽  
pp. 45-52
Author(s):  
Ekaterina B. Zvonareva ◽  
Lubov I. Grigorova
Keyword(s):  
Risk Factors ◽  
Rural Areas ◽  
Cerebral Circulation ◽  
Young Patients ◽  
Clinical Hospital ◽  
Regional Features ◽  
Urban And Rural Areas ◽  
Concomitant Factors ◽  
Causes And Risk Factors

Since 2011 according to the national project “Health” the Regional Vascular Center has been operating on the basis of the Tambov Regional Clinical Hospital. This is a ward for patients with acute cerebral circulation disorder. Since 2017 there has been an increase in patients due to an increase in the number of attached population to Tambov Regional Clinical Hospital and, accordingly, unfortunately, the mortality rate from acute cerebral circulation disorder has been increasing. Between 2016 and 2020, a study was conducted based on the follow-up of young patients with hemorrhagic and ischemic stroke. In the study we emphasized the research of regional features of the structure, causes, and risk factors of stroke in persons in the city of Tambov and the districts of the Tambov Region. We verified pathogenetic subtypes of stroke among young patients. We identified and considered main and concomitant factors determining stroke outcome, degree of neurological deficiency, and disabled patients. We identified the leading causes of stroke in persons, the main of which were: arterial hypertension, cardiac pathology, atherosclerosis.

Prevalence and risk factors of asymptomatic carotid artery stenosis in Indian population: An 8-year follow-up study

2017 ◽  
Vol 65 (2) ◽  
pp. 279 ◽  
Author(s):  
Subhash Kaul ◽  
Suvarna Alladi ◽  
KRukmini Mridula ◽  
V C SSrinivasarao Bandaru ◽  
Matapathi Umamashesh ◽  
...  
Keyword(s):  
Risk Factors ◽  
Carotid Artery ◽  
Carotid Artery Stenosis ◽  
Indian Population ◽  
Artery Stenosis ◽  
Asymptomatic Carotid ◽  
Follow Up Study ◽  
Asymptomatic Carotid Artery Stenosis

scholarly journals Osteo-necrosis of femoral head in North Indian population: Risk factors and clinico-radiological correlation

2019 ◽  
Vol 7 (3) ◽  
pp. 446-449 ◽  
Author(s):  
Tarun Goyal ◽  
Anant Singh ◽  
Rahul Sharma ◽  
Arghya Kundu Choudhury ◽  
Shobha S. Arora
Keyword(s):  
Risk Factors ◽  
Femoral Head ◽  
Indian Population ◽  
North Indian Population ◽  
Necrosis Of Femoral Head

scholarly journals Impact of Metabolic Syndrome on the Development of Cardiovascular Disease among Kazakhs in Remote Rural Areas of Xinjiang, China: A Cohort Study

2020 ◽  
Author(s):  
Wenwen Yang ◽  
Shuxia Guo ◽  
Haixia Wang ◽  
Yu Li ◽  
Xianghui Zhang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Metabolic Syndrome ◽  
Rural Areas ◽  
Cox Regression ◽  
Baseline Survey ◽  
Minority Populations ◽  
Cox Regression Analysis ◽  
Independent Risk Factors

Abstract Background: Metabolic syndrome (MS) could promote the development of cardiovascular disease(CVD). The aim of this study was to examine the association of MS and its components with CVD among Kazakhs in Xinjiang. Methods: According to the geographical distribution of the minority populations in Xinjiang, we selected the representative prefecture (Yili). A total of 2,644 participants completed the baseline survey between April 2010 and December 2012. The follow-up survey was conducted from April 2016 to December 2016. Only 2,286 out of 2,644 participants were followed-up on, with a follow-up rate of 86.46%. Cox regression was used to evaluate the association of each component and the number of combinations of MS components on the development of CVD. Results: Multivariate Cox regression analysis showed that blood pressure (BP), waist circumference (WC), and triglycerides (TG) were independently associated with CVD. Participants with 1–5 MS components had an increased hazard ratio for developing CVD, from 1.82 to 8.59 (trend P<0.001), compared with those without any MS components. This trend persisted after adjusting for other general risk factors. The risk of developing CVD increased when TG and WC coexisted, or when TG/WC and BP coexisted. However, no significant interactions were found between BP , WC , and TG. Conclusions: BP , WC, and TG were independent risk factors for CVD in Kazakhs. In clinical practice, a more informative assessment may be obtained by taking into account the number of MS components.

scholarly journals The Community Pharmacist’s Role in Reducing Cardiovascular Risk Factors in Lebanon: A Longitudinal Study

2018 ◽  
Vol 27 (6) ◽  
pp. 508-514 ◽  
Author(s):  
Iqbal M. Fahs ◽  
Souheil Hallit ◽  
Mohamad K. Rahal ◽  
Diana N. Malaeb
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Lipid Profile ◽  
Rural Areas ◽  
Prospective Survey ◽  
Average Body Mass ◽  
Ascvd Risk ◽  
Urban And Rural Areas

Objective: To assess the role of the pharmacist in modifying risk factors for cardiovascular disease (CVD) among Lebanese adults in urban and rural areas. Methods: In a prospective survey, 865 out of 1,000 participants aged ≥45 years, previously interviewed, agreed to be followed at 1 and 2 years time points. Parameters including blood pressure, lipid profile, blood glucose, average number of risk factors, and atherosclerotic CVD (ASCVD) risk were assessed and evaluated at the beginning of the study, then after 1 and 2 years. Results: During both follow-ups, the mean average body mass index and systolic blood pressure decreased significantly and the lipid profile improved significantly. Further significant improvements in ASCVD risk occurred during the second follow-up. Monitoring parameters revealed significant improvements as well. Conclusion: This study showed that a plan that includes pharmacists, who regularly monitor and follow-up patients, could improve CVD prevention through the reduction of risk factors.

GSTT1 and GSTM1 Gene Polymorphisms as Major Risk Factors for Asthma in a North Indian Population

Lung ◽  
2012 ◽  
Vol 190 (5) ◽  
pp. 505-512 ◽  
Author(s):  
Niti Birbian ◽  
Jagtar Singh ◽  
Surinder Kumar Jindal ◽  
Amit Joshi ◽  
Navneet Batra ◽  
...  
Keyword(s):  
Risk Factors ◽  
Gene Polymorphisms ◽  
Indian Population ◽  
North Indian Population ◽  
Gstm1 Gene

Prevalence of gallstone disease in patients with type 2 diabetes and the risk factors in North Indian population: A case control study

2014 ◽  
Vol 33 (6) ◽  
pp. 507-511 ◽  
Author(s):  
Jaswinder Singh Sodhi ◽  
Showkat Ali Zargar ◽  
Shafkatullah Khateeb ◽  
Abid Showkat ◽  
Gul Javid ◽  
...  
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Indian Population ◽  
Case Control Study ◽  
Gallstone Disease ◽  
Case Control ◽  
North Indian Population ◽  
Control Study

scholarly journals Risk factors and impact of stigma on psychiatric patients in Sohag

2021 ◽  
Vol 57 (1) ◽  
Author(s):  
Taher Abdelraheem Sayed ◽  
Magda Mohamed Ali ◽  
Saber Hadad
Keyword(s):  
Risk Factors ◽  
Mental Illness ◽  
Psychiatric Disorder ◽  
Psychiatric Hospital ◽  
Rural Areas ◽  
Hospital Admissions ◽  
Psychiatric Patients ◽  
Socioeconomic Level ◽  
Stigma Score

Abstract Background Stigma among psychiatric patients is pervasive all over the world. Our aim in this study was to investigate risk factors for stigma related to psychiatric disorders and to demonstrate the major consequences of mental stigma for patients who experience mental illness. We conducted a cross-sectional study and applied a stigma scale to 573 patients with psychiatric disorders who attended our outpatient psychiatry clinic. Participants were divided into two groups, group I (no.262) with low stigma score and group II (no.311) with high stigma score. The two groups were compared in term of socio-demographic characteristics (age, gender, level of education, residency, marital status, employment and socioeconomic level), factors related to the psychiatric disorder (duration of illness, number of psychiatric hospital admission and diagnosis) and impact of psychiatric illness (follow-up visits, adherence to medications and suicidal thoughts or attempts). Results The mean age of patients with high stigma score (group II) was 29 ± 6 years. High stigma score was more common in females (53.7%), illiterate (11.9%), living in rural areas (58.2%), single (22.83%), unemployed (44.37%) and low socioeconomic class (59.49%). Patients with a high stigma score showed longer duration of psychiatric disorder (43 ± 8 months), more frequent number of psychiatric hospital admission (4.3 ± 0.5) and schizophrenia ((11.25%) and other psychotic disorders (6.49%) were common diagnoses. Patients with a high stigma score show poor adherence to medication (47.91%) and follow-up (44.05%) and a high frequency of suicidal ideation or attempt (47.91%). Significant risk factors predicting high mental stigma were level of education (explaining about 23% of the risk, P = 0.03), duration of mental illness (explaining about 25% of the risk, P = 0.019), number of hospital admissions (explaining about 22.7% of the risk, P = 0.032), diagnosis of mental illness (explaining about 27.7% of the risk, P = 0.01). Conclusion Mental stigma is more prevalent among young aged individuals, females, single, unemployed, living in rural areas and those with lower educational and socioeconomic level. Mental stigma has a parallel correlation with psychiatric disorder duration, number of psychiatric hospital admissions, as well as diagnosis of psychotic disorder. The stigma of mental illness from the viewpoint of the patient may lead to delaying the access to care as well as poor adherence to medications and follow-up. Anti-stigma measures can contribute to diminishing the psychiatric illness effect.

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