scholarly journals Assessment of Factors Associated with Indoor Air Pollution using Multinomial Logistic Regression: A Case Study of Barbardiya Municipality

2021 ◽  
pp. 7-20
Author(s):  
Chitra Raj Bhandari ◽  
Srijan Lal Shrestha
Keyword(s):  
Air Pollution ◽  
Logistic Regression ◽  
Indoor Air ◽  
Indoor Air Pollution ◽  
Multinomial Logistic Regression ◽  
Household Head ◽  
Significant Proportion ◽  
Education Level ◽  
Economic Variables ◽  
Socio Economic Variables

Background: Indoor air pollution (IAP) is a major risk factor of acute respiratory infections (ARIs). Most of the households in rural Nepal still depend upon biomass fuel. Associations between socio-economic variables and IAP can be captured using different statistical models. Objectives: The objective of the study was to determine association between IAP condition with socio-economic and demographic factors across the households of Barbardiya municipality, Bardiya, Nepal. Material and Methods: Based upon the primary data of 370 households, association between IAP condition (high, moderate, low) with socio-economic and demographic variables (Ethnicity, education level, income, family size, land size etc.) were established using multinomial logistic regression model.  Results: Descriptive analysis revealed that almost 21% of the households were exposed to high (sever) IAP, 41% to low and rest (38%) were moderate. Fitted model predicted that the odds ratio of socio-economic variables like Ethnicity: Tharu community relative to Bhramin/Chhetri community was 2.5 (95% Confidence Interval (CI): 1.08 -5.78), household head’s education level: illiterate relative to literate was 8.21 (95% CI: 3.30-59.54), family’s monthly income: ≤ NRs 30000 relative to > NRs 30000 was 2.38 (95% CI: 1.10-5.16) considering high with respect to low IAP. Conclusion: Households of Tharu community have significant proportion of high and moderate levels of IAP (or household air pollution) compared to other ethnic groups. Literacy status of household head also have an association with IAP along with several other factors. Various methods can be adopted to reduce IAP which was recommended to concerned authorities.

scholarly journals Is Indoor Air Pollution From Different Fuel Types Associated With the Anemia Status of Pregnant Women in Ethiopia?

2021 ◽  
Vol 12 ◽  
pp. 215013272110343
Author(s):  
Sewitemariam Desalegn Andarge ◽  
Abriham Sheferaw Areba ◽  
Robel Hussen Kabthymer ◽  
Miheret Tesfu Legesse ◽  
Girum Gebremeskel Kanno
Keyword(s):  
Air Pollution ◽  
Logistic Regression ◽  
Pregnant Women ◽  
Indoor Air ◽  
Pregnancy Outcomes ◽  
Indoor Air Pollution ◽  
Adverse Pregnancy Outcomes ◽  
Outcome Variable ◽  
Multivariable Logistic Regression Analysis ◽  
Adverse Pregnancy

Background Indoor air pollution from different fuel types has been linked with different adverse pregnancy outcomes. The study aimed to assess the link between indoor air pollution from different fuel types and anemia during pregnancy in Ethiopia. Method We have used the secondary data from the 2016 Ethiopian Demographic and Health Survey data. The anemia status of the pregnant women was the dichotomous outcome variable and the type of fuel used in the house was classified as high, medium, and low polluting fuels. Logistic regression was employed to determine the association between the exposure and outcome variables. Adjusted Odds Ratio was calculated at 95% Confidence Interval. Result The proportion of anemia in the low, medium, and high polluting fuel type users was 13.6%, 46%, 40.9% respectively. In the multivariable logistic regression analysis, the use of either kerosene or charcoal fuel types (AOR 4.6; 95% CI: 1.41-18.35) and being in the third trimester (AOR 1.72; 95% CI: 1.12-2.64) were significant factors associated with the anemia status of the pregnant women in Ethiopia. Conclusion According to our findings, the application of either kerosene or charcoal was associated with the anemia status during pregnancy in Ethiopia. An urgent intervention is needed to reduce the indoor air pollution that is associated with adverse pregnancy outcomes such as anemia.

scholarly journals Multinomial Logistic Regression Predicted Probability Map To Visualize The Influence Of Socio-Economic Factors On Breast Cancer Occurrence in Southern Karnataka

2014 ◽  
Vol XL-8 ◽  
pp. 193-196 ◽  
Author(s):  
B. Madhu ◽  
N. C. Ashok ◽  
S. Balasubramanian
Keyword(s):  
Breast Cancer ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Multinomial Logistic Regression ◽  
Economic Variables ◽  
Multinomial Logistic Regression Analysis ◽  
Cancer Occurrence ◽  
Predicted Probability ◽  
Socio Economic Variables

Multinomial logistic regression analysis was used to develop statistical model that can predict the probability of breast cancer in Southern Karnataka using the breast cancer occurrence data during 2007–2011. Independent socio-economic variables describing the breast cancer occurrence like age, education, occupation, parity, type of family, health insurance coverage, residential locality and socioeconomic status of each case was obtained. The models were developed as follows: i) Spatial visualization of the Urban- rural distribution of breast cancer cases that were obtained from the Bharat Hospital and Institute of Oncology. ii) Socio-economic risk factors describing the breast cancer occurrences were complied for each case. These data were then analysed using multinomial logistic regression analysis in a SPSS statistical software and relations between the occurrence of breast cancer across the socio-economic status and the influence of other socio-economic variables were evaluated and multinomial logistic regression models were constructed. iii) the model that best predicted the occurrence of breast cancer were identified. This multivariate logistic regression model has been entered into a geographic information system and maps showing the predicted probability of breast cancer occurrence in Southern Karnataka was created. This study demonstrates that Multinomial logistic regression is a valuable tool for developing models that predict the probability of breast cancer Occurrence in Southern Karnataka.

AWARENESS ABOUT INDOOR AIR POLLUTION IN GENERAL POPULATION OF RAWALPINDI AND ISLAMABAD

2018 ◽  
Vol 8 (2) ◽  
pp. 80-83
Author(s):  
Nadia Tariq ◽  
Tamkeen Jaffry ◽  
Rahma Fiaz ◽  
Abdul Majid Rajput ◽  
Sadaf Khalid
Keyword(s):  
Air Pollution ◽  
General Population ◽  
Indoor Air ◽  
Indoor Air Pollution ◽  
Economic Status ◽  
Educational Status ◽  
Epidemiological Studies ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Significant Difference

Background: Indoor air pollutants are increasingly being associated with respiratory illnesses leading to high degree of morbidity and mortality. There are not sufficient epidemiological studies from Pakistan which assess level of awareness of indoor air pollution resulting in respiratory diseases in population. Methods: This cross sectional survey was carried out on general population of Rawalpindi/Islamabad. Sample size was 223 study subjects selected by non-probability convenient sampling. Knowledge of the study subjects was determined with regard to indoor air pollution, its effects on health and different sources of indoor air pollution with the help of a questionnaire. The influence of age, gender, educational status and socio economic status on the level of awareness was also analyzed. Results: Out of total 223 participants, 115 were males and108 females. Participants aware of indoor air pollution were 91.5% and adequate awareness about its sources was 80.7%. Those who knew indoor air pollution is detrimental to health were 95.1%. Awareness about building construction dust as source of indoor air pollution was maximum (84.8%). There was significant difference in awareness among participants with different monthly incomes and educational status and also between males and females. Conclusion: This study concludes that general population of Rawalpindi/Islamabad has fairly good awareness about sources of indoor air pollution. Use of harmful material causing indoor air pollution should be limited or substituted with better ones where possible.

Public knowledge, perception and communication behavior surrounding COVID-19 in Malaysia

2020 ◽  
Author(s):  
Khayriyyah Mohd Hanafiah ◽  
Chang Da Wan
Keyword(s):  
Logistic Regression ◽  
Employment Status ◽  
Multinomial Logistic Regression ◽  
Movement Control ◽  
Education Level ◽  
Public Knowledge ◽  
Communication Behavior ◽  
Positive Communication ◽  
The Face ◽  
Control Order

The COVID-19 pandemic is the first to occur in an age of hyperconnectivity. This paper presents results from an online anonymous survey conducted in Malay, English, and Chinese, during the first week of the Movement Control Order in Malaysia (n=1075), which aimed to examine public knowledge, perception and communication behavior in the Malaysian society in the face of a sudden outbreak and social distancing measures. Although the level of public knowledge, risk perception and positive communication behavior surrounding COVID-19 was high, a majority of respondents reported receiving a lot of questionable information. Multinomial logistic regression further identified that responses to different items varied significantly across respondent survey language, gender, age, education level and employment status.

ANALISIS PENGUKURAN KONSENTRASI KARBONMONOKSIDA (CO) PADA BREATHING ZONE PETUGAS PARKIR BASEMENT MALL KOTA BANDUNG

2019 ◽  
Author(s):  
Gede H Cahyana
Keyword(s):  
Air Pollution ◽  
Indoor Air ◽  
Indoor Air Pollution ◽  
Sampling Method ◽  
Breathing Zone ◽  
Gas Concentration ◽  
Average Value ◽  
Co Concentration ◽  
Personal Dosimeter ◽  
Co Gas

Indoor air pollution in closed room is one of the air pollution that gives serious threats to human health. One of them come from vehicle gas emissions in closed parking area. This research identifies and analyses CO concentration measured in Mall X parking man’s breathing zone with closed parking area and in Mall Y semi-opened parking area. CO measurement carried out by passive sampling method using Personal Dosimeter Tubes. Measurement result of CO gas concentration to parking man’s breathing zone in Mall X was 25 – 81,25 ppm with average value in 50 ± 26,15 ppm. Meanwhile CO gas concentration in Mall Y gave result 3,13 – 12,5 ppm with average value in 7,88 ± 4,36 ppm. Correlation value between CO concentration and its intake in Mall X area was 0,9983, meanwhile correlation value between CO concentration and its intake in Mall Y area was 0,9903. It was concluded that CO gas concentration measured in parking man’s breathing zone influenced the differences of CO intake value in significance value.

Environmentalists seek to set research agenda on indoor air pollution

BMJ ◽  
2011 ◽  
Vol 342 (may17 2) ◽  
pp. d3062-d3062 ◽  
Author(s):  
B. Roehr
Keyword(s):  
Air Pollution ◽  
Indoor Air ◽  
Research Agenda ◽  
Indoor Air Pollution
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