A cross-sectional assessment of indoor air quality in Nepal and its health effects revealed that solid biomass fuels (animal dung, crop residue, and wood) were the main sources of indoor air pollution affecting health. The average smoke level (PM10) in kitchens using biomass fuels was about three times higher than that in those using cleaner fuels (kerosene, LPG, and biogas). Respondents in 98 randomly selected households included 168 who cooked daily meals, of whom 94% were disadvantaged women. Biomass smoke caused significantly more respiratory disorders than did cleaner fuels. Categorized data analysis demonstrated significant associations between biomass smoke pollution and respiratory symptoms such as cough; phlegm; breathlessness; wheezing; and chronic respiratory diseases such as COPD and asthma. The prevalences of respiratory illnesses and symptoms were considerably higher in those living in mud and brick houses compared with concrete houses. Prevalences were also higher in those living on hills and in rural areas compared with flatland and urban areas.
Background:In the context of climate change scenario in Nepal with rise in average surface air temperature, an ecological time series study has been conducted to examine and assess the effect of climate related variables on some specific disease burdens covering areas of all the eco-belts of Nepal.
Objective:The study is conducted to examine several health effects associated with climate sensitive variables separately between the three ecobelts of Nepal and estimate environmental burden of diseases that can be attributed to temperature as the main climate variable.
Method:The study is based upon daily meteorological data including temperature, rainfall, relative humidity and wind speed collected from the Department of Hydrology and Meteorology, Kathmandu and hospitalizations including water-borne (enteric fever, diahrreoal diseases and hepatitis), vector-borne (malaria, dengue, encephalitis, leishmaniasis and filarisis), urinary system (chronic kidney diseases, urinary tract infections and renal failure) and heart diseases (ischemic heart disease including angina pectoris, cardiovascular arrest, cardiac failures and other cardiovascular diseases) and mortality (all cause and diseases specific) are collected from the leading hospitals of the study area for 5 years in between 14 April 2009 and 13 April 2014.
Results:Results of generalized linear modelling accounting distributed lag effects showed varied health effects between eco-belts and hospitalization/death types such as 2.1% to 7.3% rise in the considered hospitalizations per 1°C rise in temperature, 0.9% to 8.2% rise in all cause deaths per 1°C change in temperature below or above 20°C, -8.7% to 2.4% change in hospitalizations/deaths per 1 mm rise in rainfall, -1.6% to 7.3% change in hospitalizations/deaths per 1% rise in relative humidity and -23.6% to 35% change in hospitalization/deaths per 1 m/s rise in wind speed which can be attributed to many significant differences that prevail between the eco-belts of Nepal.
Conclusion:Even though health effects are due to many factors, climate conditions are significant factors in affecting health of people and climate change is bound to affect the health burden of Nepalese people for which Nepal needs suitable preparedness and adaptation policies to counter and minimize the hazards of climate change in years to come.
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