A Study of Basal Cell Carcinoma in South Asians for Risk Factor and Clinicopathological Characterization: A Hospital Based Study

Objectives. Although the incidence of skin cancers in India (part of South Asia) is low, the absolute number of cases may be significant due to large population. The existing literature on BCC in India is scant. So, this study was done focusing on its epidemiology, risk factors, and clinicopathological aspects.Methods. A hospital based cross-sectional study was conducted in Punjab, North India, from 2011 to 2013. History, examination and histopathological confirmation were done in all the patients visiting skin department with suspected lesions.Results. Out of 36 confirmed cases, 63.9% were females with mean ± SD age being60.9±14.2years. Mean duration of disease was 4.7 years. Though there was statistically significant higher sun exposure in males compared to females (Pvalue being 0.000), BCC was commoner in females, explainable by intermittent sun exposure (during household work in the open kitchens) in women. Majority of patients (88.9%) had a single lesion. Head and neck region was involved in 97.2% of cases, with nose being the commonest site (50%) with nodular/noduloulcerative morphology in 77.8% of cases. Pigmentation was evident in 22.2% of cases clinically. Nodular variety was the commonest histopathological variant (77.8%).Conclusions. This study highlights a paradoxically increasing trend of BCC with female preponderance, preferential involvement of nose, and higher percentage of pigmentation in Indians.

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Socio-Economic Status and Prevalence of Self-Reported Osteoporosis in Tehran: Results from a Large Population-Based Cross-Sectional Study (Urban HEART-2)

Journal of Urban Health ◽

10.1007/s11524-018-0246-6 ◽

2018 ◽

Vol 95 (5) ◽

pp. 682-690 ◽

Cited By ~ 2

Author(s):

M. Asadi-Lari ◽

Y. Salimi ◽

M. R. Vaez-Mahdavi ◽

S. Faghihzadeh ◽

A. A. Haeri Mehrizi ◽

...

Keyword(s):

Economic Status ◽

Large Population ◽

Population Based ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional ◽

Socio Economic Status

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Multimorbidity as an important issue among women: results of a gender difference investigation in a large population-based cross-sectional study in West Asia

BMJ Open ◽

10.1136/bmjopen-2016-013548 ◽

2017 ◽

Vol 7 (5) ◽

pp. e013548 ◽

Cited By ~ 20

Author(s):

Masoomeh Alimohammadian ◽

Azam Majidi ◽

Mehdi Yaseri ◽

Batoul Ahmadi ◽

Farhad Islami ◽

...

Keyword(s):

Gender Difference ◽

Large Population ◽

Population Based ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional

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Assessment of Post COVID-19 Health Problems and Its Determinants in North India: A Descriptive Cross-Sectional Study

SSRN Electronic Journal ◽

10.2139/ssrn.3937558 ◽

2021 ◽

Author(s):

Suraj Senjam ◽

Yatan Pal Singh Balhara ◽

Parmeshwar Kumar ◽

Neeraj Nischal ◽

Souvik Manna ◽

...

Keyword(s):

Cross Sectional Study ◽

Health Problems ◽

North India ◽

Sectional Study ◽

Cross Sectional

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Internet Addiction and the Pattern of Internet Use among Under Graduate Medical Students: A Cross- Sectional Study from North India

Journal of Community Health Research ◽

10.18502/jchr.v10i4.8338 ◽

2022 ◽

Author(s):

Priyanka . ◽

R K Pal

Keyword(s):

Medical Students ◽

Internet Addiction ◽

Internet Use ◽

Cross Sectional Study ◽

North India ◽

The Internet ◽

Sectional Study ◽

Undergraduate Medical Students ◽

Cross Sectional ◽

Significance Level

Introduction: Excessive use of the Internet affects the academic achievements of students. This study aimed to investigate the prevalence of Internet addiction and the pattern of Internet use among undergraduate medical students. Method: This analytical cross-sectional study conducted on 177 undergraduate medical students in batch 2016, 2017 and 2018, who were included in this study by convenience sampling method. The study tool was Young’s Internet Addiction Test containing questions regarding the pattern of Internet use. Data entry and analysis was done by using Microsoft excel and SPSS version 21. Qualitative data were described in terms of frequency and percentage while quantitative data were expressed as mean and standard deviation. Chi square test and multiple linear regression were used to find out the relationship between various factors and Internet Addiction (IA). The significance level was considered 0.05. Results: The mean age of the participants was 20.3 years (± 1.19), and 62 % of the subjects were males. The prevalence rate of Internet Addiction (IA) was found to be 56.5% and 42.9% of them were in mild and 13.6% were in moderate addiction category. Being male (β= -0.143, p=0.038), staying at a hostel (β= 0.167, p=0.018), not having a time preference for using the Internet (β= -0.174, p=0.012), spending more time on the Internet everyday (β= 0.201, p=0.000), being always online (β= 0.276, p=0.000) and more years of using the Internet (β= 0.175, p=0.015) were significantly related with IA in students. Conclusion: A large proportion of medical students were found to be addicted to the Internet. Therefore, this issue should be addressed immediately.

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Cardiometabolic disease and features of depression and bipolar disorder: Population-based, cross-sectional study

The British Journal of Psychiatry ◽

10.1192/bjp.bp.114.157784 ◽

2016 ◽

Vol 208 (4) ◽

pp. 343-351 ◽

Cited By ~ 16

Author(s):

Daniel J. Martin ◽

Zia Ul-Haq ◽

Barbara I. Nicholl ◽

Breda Cullen ◽

Jonathan Evans ◽

...

Keyword(s):

Cardiovascular Disease ◽

Bipolar Disorder ◽

Mood Disorder ◽

Psychotropic Medication ◽

Large Population ◽

Population Sample ◽

Cross Sectional Study ◽

Cardiometabolic Disease ◽

Sectional Study ◽

Cross Sectional

BackgroundThe relative contribution of demographic, lifestyle and medication factors to the association between affective disorders and cardiometabolic diseases is poorly understood.AimsTo assess the relationship between cardiometabolic disease and features of depresion and bipolar disorder within a large population sample.MethodCross-sectional study of 145 991 UK Biobank participants: multivariate analyses of associations between features of depression or bipolar disorder and five cardiometabolic outcomes, adjusting for confounding factors.ResultsThere were significant associations between mood disorder features and ‘any cardiovascular disease’ (depression odds ratio (OR) = 1.15, 95% CI 1.12–1.19; bipolar OR = 1.28, 95% CI 1.14–1.43) and with hypertension (depression OR = 1.15, 95% CI 1.13–1.18; bipolar OR = 1.26, 95% CI 1.12–1.42). Individuals with features of mood disorder taking psychotropic medication were significantly more likely than controls not on psychotropics to report myocardial infarction (depression OR = 1.47, 95% CI 1.24–1.73; bipolar OR = 2.23, 95% CI 1.53–3.57) and stroke (depression OR = 2.46, 95% CI 2.10–2.80; bipolar OR = 2.31, 95% CI 1.39–3.85).ConclusionsAssociations between features of depression or bipolar disorder and cardiovascular disease outcomes were statistically independent of demographic, lifestyle and medication confounders. Psychotropic medication may also be a risk factor for cardiometabolic disease in individuals without a clear history of mood disorder.

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