scholarly journals Chronic adolescent marijuana use as a risk factor for physical and mental health problems in young adult men.

2015 ◽  
Vol 29 (3) ◽  
pp. 552-563 ◽  
Author(s):  
Jordan Bechtold ◽  
Theresa Simpson ◽  
Helene R. White ◽  
Dustin Pardini
2017 ◽  
Vol 8 (1) ◽  
pp. 33
Author(s):  
Rajni Suri ◽  
Anshu Suri ◽  
Neelam Kumari ◽  
Amool R. Singh ◽  
Manisha Kiran

The role of women is very crucial in our society. She cares for her parents, partner, children and other relatives. She performs all types of duties in family and also in the society without any expectations. Because of playing many roles, women often face many challenges in their life including both physical and mental. Mental health problems affect women and men equally, but some problems are more common among women including both physical and mental health problems. Aim of the study - The present study is aimed to describe and compare the clinical and socio-demographic correlates of female mentally ill patients. Methods and Materials: The study includes 180 female mentally ill patients based on cross sectional design and the sample for the study was drawn purposively. A semi structured socio-demographic data sheet was prepared to collect relevant information as per the need of the study. Result: The present study reveals that the socio-demographic factors contribute a vital role in mental illness. Findings also showed that majority of patients had mental problems in the age range of 20-30 have high rate. Illiterate and primary level of education and daily wage working women as well as low and middle socio-economic status women are more prone to have mental illness. Other factors like marital status, type of family and religion etc also important factors for mental illness. Keywords: Socio demographic profile, female, psychiatric patient


Author(s):  
Gopal K Singh ◽  
Hyunjung Lee ◽  
Romuladus E. Azuine

Background: The COVID-19 pandemic has had a substantial adverse impact on workers’ employment and physical and mental health. However, job losses, job-related household income shocks, and their related physical and mental health problems have not been well-documented. Using temporal, nationally representative data, this study examines inequalities in job-related income losses and their resultant health impact among US workers aged 18-64 years in different job sectors during the pandemic. Methods: Using April, August, and December 2020 rounds of the US Census Bureau’s Household Pulse Survey (N=56,156, 82,173, and 51,500), job-related income losses among workers in various job sectors and associated impacts on self-assessed health, depression, anxiety, worry, and lack of interest were analyzed by multivariable logistic regression. Results: In December 2020, 64.0% of self-employed and 66.3% of unemployed adults reported that they or someone in their household experienced a loss of employment income since the start of the pandemic in March 2020. This percentage was the lowest for the public sector (35.2%) and non-profit-sector (45.0%) workers. Job/income losses increased by 26% between April and December for workers in the private and non-profit sectors. Prevalence of fair/poor overall health, serious depression, serious anxiety, serious worry, and serious lack of interest increased substantially during the pandemic for workers in all sectors, with the self-employed, those in the family business, and the unemployed experiencing the highest risk and those in the government/public and non-profit sectors experiencing the lowest risk of poor physical and mental health. Workers in all sectors reporting job-related income losses experienced approximately 2-to-4-fold higher odds of poor overall health, serious depression, serious anxiety, serious worry, and serious lack of interest, compared to public-sector workers with no job/income losses, controlling for covariates. Conclusion and Implications for Translation: Job-related income losses and prevalence of poor overall health and mental health among workers in all sectors increased markedly during the pandemic, with the self-employed, family business, and unemployed workers being especially vulnerable to poor health, depression, anxiety, and stress.   Copyright © 2021 Singh, et al. Published by Global Health and Education Projects, Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in this journal, is properly cited.


Author(s):  
Sabyasachi Bhaumik ◽  
Dasari Mohan Michael ◽  
Reza Kiani ◽  
Avinash Hiremath ◽  
Shweta Gangavati ◽  
...  

This chapter focuses on the current knowledge in public health for people with intellectual disability and recognizes the extent of health inequalities these individuals experience. The prevalence of intellectual disability worldwide is discussed with special emphasis on the prevalence of mental health problems. Also highlighted are the population health characteristics, including physical and mental health problems. The issue of barriers to accessibility and the possible reasons are discussed. There is a section on premature mortality of people with intellectual disability and measures to improve the health status for this marginalized population. Recent initiatives, including prevention strategies and health promotional aspects, are discussed and solutions suggested, including those for low-and-middle income countries (LAMICs)emphasized. Training aspects to improve quality of health care in LAMICs is highlighted with the recognition of limitations in creating a sustainable transformation of services unless they are backed by authorities.


Cough ◽  
2009 ◽  
Vol 5 (1) ◽  
pp. 10 ◽  
Author(s):  
Robert J Adams ◽  
Sarah L Appleton ◽  
David H Wilson ◽  
Anne W Taylor ◽  
Richard E Ruffin

2017 ◽  
Vol 45 (6) ◽  
pp. 647-653 ◽  
Author(s):  
Valerio Baćak ◽  
Sigrún Ólafsdóttir

Aims: The aims of this study were to: (1) examine the concurrent validity of self-rated health for mental and physical health in Europe; and (2) evaluate whether self-rated health predicts health problems differentially by gender. Methods: Data are from 19 European countries surveyed in the 2014 European Social Survey. We applied ordinary least squares regression to examine the association between self-rated health and summary indicators of physical and mental health problems. Results: We observed an association between self-rated health and both physical and mental health problems in all countries. Gender differences in the concurrent validity of self-rated health were documented in eleven out of 19 countries. Conclusions: Self-rated health is a valid and efficient measure of physical and mental health across the European continent, with significantly greater concurrent validity among women.


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