scholarly journals Public Facility Utility and Third-Hand Smoking Exposure without First and Second-Hand Smoking According to Urinary Cotinine Level

2019 ◽  
Vol 16 (5) ◽  
pp. 855
Author(s):  
Si Moon ◽  
Tae Kim ◽  
Yoon-Ji Kim ◽  
Youngki Kim ◽  
Se Kim ◽  
...  
Keyword(s):  
Public Transportation ◽  
Demographic Factors ◽  
Second Hand Smoke ◽  
Public Facility ◽  
Susceptible Population ◽  
Urinary Cotinine ◽  
Demographic Groups ◽  
Public Facilities ◽  
Frequent Use ◽  
Socio Demographic Factors

Third-hand smoke (THS) causes pathological changes in the liver, lungs, and skin. THS exposure can be ubiquitous, chronic, and unconscious. However, little is known about THS exposure in public facilities and its susceptible population. This paper aimed to identify which public facilities and socio-demographic groups were especially vulnerable to THS. Data from 1360 adults obtained from Korean National Environmental Health Survey I (2009–2011) were analyzed. To study the sole effect of THS, we restricted the study population to those participants who had never smoked and who had no exposure to second-hand smoke. The assessed variables included the type and frequency of public transportation, frequency of use of 12 different public facilities, and 8 socio-demographic factors. Urinary cotinine was used as a biomarker. T-tests and analysis of variance were used for univariate analyses, while generalized linear regression was used for multivariate analysis. Frequent use of public transportation, bars, internet cafés, and participants with low levels of education, divorced or bereaved, living in multi-unit houses, and with smokers within the family were associated with significantly high urinary cotinine levels. These findings indicate that the frequent use of public transportation, certain public facilities and certain socio-demographic factors can result in high THS exposure.

Is the choice of less-polluting modes of transport for non-work purposes affected by socio-demographic factors? Evidence from India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Taru Saigal ◽  
Arun Kr. Vaish ◽  
N.V. Muralidhar Rao
Keyword(s):  
Public Transportation ◽  
Demographic Factors ◽  
Sampling Technique ◽  
Policy Makers ◽  
Content Type ◽  
Mode Of Transport ◽  
Socio Demographic Factors ◽  
The Impact ◽  
First Time ◽  
The City

PurposeUsing survey data of a developing country city, this study aims to examine the impact of different socio-demographic factors on the choice of less-polluting modes of transport for purposes other than work.Design/methodology/approachStratified random sampling technique is employed and data on socio-demographic characteristics and mode of transport used is collected. Descriptive statistics complemented with a logit model of choice probabilities is implemented on the data obtained.FindingsMajority of the population in the city uses motorized means of transportation irrespective of the socio-demographic changes existing among them. Women, the individuals belonging to the youngest age group, the least economically well-off group of people, the least educated and the non-working are the individuals more likely to use more of less-polluting modes and less of more-polluting modes for non-work purposes as compared to their counterparts.Research limitations/implicationsThe study also calls for the development of an efficient and secured system of public transportation and non-motorized transportation in the city in such a way so as to neither hamper the goal of sustainability nor the goal of empowerment.Originality/valueTo the best of the authors’ knowledge, this is the first time a comprehensive analysis of the influence of socio-demographic factors on choice of type of mode of transport is carried out in this region of the developing world. This analysis will facilitate the policy makers in catering to the transportation needs of different segments of the society.

ASSOCIATION OF SOCIO-DEMOGRAPHIC FACTORS WITH DIARRHEA IN CHILDREN LESS THAN FIVE YEARS: A SECONDARY ANALYSIS OF MULTIPLE INDICATOR CLUSTER SURVEY SINDH 2014

1970 ◽  
Vol 7 (2) ◽  
pp. 85-89
Author(s):  
Muhammad Irfan ◽  
Syed Mustansir Hussain Zaidi ◽  
Hira Fatima Waseem
Keyword(s):  
Rural Areas ◽  
Demographic Factors ◽  
Wealth Index ◽  
Household Wealth ◽  
Cluster Survey ◽  
Multiple Indicator Cluster Survey ◽  
Increased Risk ◽  
Multiple Indicator ◽  
Mother Education ◽  
Socio Demographic Factors

Background: Diarrhea founds to be the major cause of morbidity and mortality in children less than five years. Various factors are associated with diarrhea but socio-demographic factors are the main key elements, which associated with diarrhea. Methods: This study was examined association of socio-demographic factors with diarrhea in children less than five years of age of Sindh, Pakistan, using data from the Multiple Indicator Cluster Survey (MICS) conducted from January 2014 to August 2014. Data were collected for 18,108 children in whom 16,449 children had complete data of demographic variables being included in the analysis. Bivariate analysis was done using Pearson's Chi square test and multivariate analysis being done using binary logistic regression. Results: We found increased risk of diarrhea among children lives in rural areas while household wealth index quintile was also associated with diarrhea. Children in the poor, middle and fourth wealth index quintiles being at increased risk of diarrhea compared to children in the richest wealth index quintile. The highest risk of diarrhea was found for the child having mother with no education as well as children aged 12-23 months. Conclusion: Age of child, mother education and wealth index found significant with diarrhea while Male children, child aged 12-23 months, child with no mother education, child from rural areas and child from poor households found with high risk of diarrhea.

Prevalence and Socio-demographic Factors of Aggression among Medical College Students

2015 ◽  
Vol 4 (8) ◽  
Author(s):  
M. Mirzaei-Alavijeh ◽  
P. Hossini ◽  
S. Hayati ◽  
A. Aghaei ◽  
B. Karami-Matin
Keyword(s):  
College Students ◽  
Demographic Factors ◽  
Medical College ◽  
Socio Demographic Factors

Socio-demographic factors involved in the evolution of depression monitored in outpatient unit

Psihiatru ro ◽  
2018 ◽  
Vol 4 (51) ◽  
pp. 23
Author(s):  
Daniela Glăvan ◽  
Bogdan Stănia ◽  
Mihail Cristian Pîrlog ◽  
Ion Udriștoiu
Keyword(s):  
Demographic Factors ◽  
Outpatient Unit ◽  
Socio Demographic Factors

scholarly journals Socio-Demographic Factors Influencing the Use of Assistive Technology among Children with Disabilities in Malawi

2021 ◽  
Vol 18 (6) ◽  
pp. 3062
Author(s):  
Monica Jamali-Phiri ◽  
Ikenna D. Ebuenyi ◽  
Emma M. Smith ◽  
Juba Alyce Kafumba ◽  
Malcolm MacLachlan ◽  
...  
Keyword(s):  
Assistive Technology ◽  
Urban Areas ◽  
Structural Equation ◽  
Children With Disabilities ◽  
Unmet Need ◽  
Demographic Factors ◽  
Multiple Disabilities ◽  
Equation Modeling ◽  
Persons With Disabilities ◽  
Socio Demographic Factors

This paper aims to address the information gap on the influence of socio-demographic factors on access and utilization of Assistive Technology (AT) among children with disabilities in Malawi. Thus, it contributes towards the realization of the recommendations of the UN Convention on the Rights of Persons with disabilities and the development of a framework for creating an effective national AT policy. The paper used two statistically matched datasets, namely, the 2017 survey on Living conditions among persons with disabilities in Malawi and the 2015-16 Malawi Demographic and Health survey. Logistic regression and structural equation modeling techniques were utilized to assess the influence of socio-demographic factors on the use of AT among children with disabilities. The results indicate that there is a high level of unmet need for AT among young children aged 2 to 9 and those living in urban areas. The results further indicate that children with multiple disabilities have lower odds (OR = 0.924) of using AT for personal mobility compared to children with a single functional difficulty. These results entail that AT needs for children with multiple disabilities are not adequately addressed. Therefore, when developing policies on AT, younger children and those with multiple disabilities need to be specifically targeted.

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