呼吸医学杂志

抽象的

Assessment Of Indoor Air Quality By Using Portable Air Quality Pollution Meter In Rural Households.

Shweta Fating

Background:-.Worldwide, indoor air  pollution  causes 2.2 million deaths  from  chronic  respiratory illness, pneumonia and cancer of lung.Indoor air pollution contamination in developingcountries will account for at least 2.2 million more diedand about 2.7% of the world wide load of diseases. Objectives:- 1.To assess the indoor air quality by using portable air quality pollution meter among rural house hold. 2.To associate the parametric scores with selected demographic variable. Material and methods:- The interventional evaluative research approach was used for the study. An exploratory descriptive study was undertaken Assessment of indoor air quality by using portable air quality pollution meter in rural households at selected community rural area salod hirapur,  wardha district, Maharashtra state. The sample was selected using a random sampling method. In this study a total number of 55 families in a selected rural community area. Who fulfilled the inclusion criteria was selected. Results: The study findings 23.6(23.6%) were having unhealthy for sensitive group level score of rural households. 32.7(32.7%) were having unhealthy score. 43.6(43.6%) were having very unhealthy level of indoor air quality. the overall indoor air quality was very unhealthy indoor air quality among rural households. there is significant association found between indoor air quality parameter score with selected demographic variable such as number of room in house, type of wall construction material used to build. Conclusion: - This study was done assessment of indoor air quality by using portable air quality pollution meter in rural households. The result showed that out of 55 family’s community area (majority) 43.6% were having the very unhealthy level of indoor air quality regarding rural households. However demographic factor like number of room in houses, type of wall construction material used to build. Show significant association with parametric score.