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\title{`Analysis of Residents' usage of Household Materials and Vulnerability to Indoor Pollution in Ogbomoso, Nigeria}
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             \author[1]{Abolade  Olajoke}

             \author[2]{Olajoke  Abolade}

             \affil[1]{  Ladoke Akintola University of Technology Ogbomoso Nigeria}

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\date{\small \em Received: 6 December 2013 Accepted: 3 January 2014 Published: 15 January 2014}

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\begin{abstract}
        


The paper investigates the residents? level of usage on sources and vulnerability of urban residents to indoor pollution in Ogbomoso. It utilized multistage method of sampling to distribute a total of three hundred and seventy three (373) structured questionnaires to residents in the selected forty eight localities. Likert scale rating was employed to examine resident?s perception on the impacts of indoor air pollution. Resident Usage Index (RUI) and Residents Perceived Effect index (RPEI) with scale rating ranging from Not agreed (2), Partially Agreed (3), Agreed (4), Very much agreed (5) were developed to ascertain rating value placed by each resident. The average weight for each variable was computed. The findings reveals, highest index value of 2.30usage in perfume, germicides (2.61) insecticides (2.29) building materials (2.71) asbestos, lanterns (2.38), charcoal (2.20). The high perceived usage suggests most frequently used household materials that constitute indoor air pollution in the study area. The general effect from use of household materials varies from sneezing eye irritation, dizziness headache among others. Continuous usage and exposure to such household materials will undoubtedly cause major damage to organs of the vulnerable group if appropriate action are not put in place. The paper therefore, recommends use of local household material that are less free of pollutant and cleaner fuel should be made available by concerned Government. Also awareness programme to sensitize populace on associated danger of exposure to household materials that are prone to generate indoor pollution should be adopted.

\end{abstract}


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\section[{Introduction}]{Introduction}\par
a) Background to the Study he connection between the use of a building either as a workplace or as a dwelling place and the appearance, in certain cases, of discomfort and symptoms of illness is a fact attributable to indoor air pollution  {\ref (WHO, 200, EPA, 1987)}. Indoor air pollution (IAQ) is a phenomenon recognized to be a major health problem worldwide because more than 3 billion people around the globe depend on solid fuel  {\ref (WHO, 2007)}. The use of solid fuel within indoor environment for purposes including cooking and heating among others has been known to produce noxious fumes which are injurious to human health \hyperref[b9]{(Bruce 2005;} {\ref Ettati, 2005;} {\ref WHO, 2007;} {\ref WEC, 1999;} {\ref EPA, 1987)}. This pollution largely affects a considerable number of dwellers, mostly women and children, because it has been established that they spend between 58 and 78\% of their time in an indoor environment \hyperref[b18]{(Hoffman, 2003}). These problems have been worsened with the construction of buildings that are poorly ventilated and badly aerated such that the circulation of fresh air is marred. Consequently, buildings with inadequate natural ventilation present risks of exposure to severe air-borne diseases and infection.\par
Indoor air pollution however, is not limited to use of biomass fuels. Other sources include particles from household materials (synthetic carpets and furniture, paints, asbestos), pesticides, insecticides, air fresheners (naphthalene ball) domestics appliances, and cosmetics products (body spray, perfumes anti aspirant) among others \hyperref[b2]{(Adigun et al 2011)}. Unknown to many dwellers, exposure to and inhalation of these fumes and dangerous gases from workplaces, homes and other indoor environments have been responsible for severe health cases such as respiratory infections (WHO, 1997), chronic lung diseases such as asthma and bronchitis, lung cancer, nose and throat irritation, and still-birth \hyperref[b7]{(Ayars, 1997)}, eye disorder, conjunctivitis, blindness and low birth weight  {\ref (Traynors et. al., 1985)}, low ventilation rates \hyperref[b21]{(Menzies et al., 1993)} and physiological discomfort among others \hyperref[b30]{(Tawari and Abowei, 2012)}.\par
Though outdoor air pollution poses severe health risks most of which are linked with the urban environment, yet, some of the highest concentrations of risks have occurred in indoor environment especially in most Sub-Saharan African countries like Nigeria \hyperref[b22]{(Oguntoke et. al., 2010;}\hyperref[b31]{Theuri, 2009 and} {\ref EPA, 2003)}.  {\ref Smith and Mac (2009)} also opined that the devastating effects of air pollution in the indoor environment are more flagrant than the outdoor environment owing to the length of stay in the former.\par
The World Resource Institute (WRI) in 1998 established that threats to human well-being are constantly being generated from two categories of human-environment interactions. Firstly, lack of development; owing to man's inability to maximize natural and environmental resources sustainably. 
\section[{T}]{T}\par
Secondly, through threats produced when the byeproducts of resource exploration and transformation are not manageably rid of in a manner that will forestall its negativities.\par
Against this background , the problems of indoor air pollution becomes of great concern in this paper because those affected are less aware, illequipped and ill prepared for the menace and there are little or no provisions (facility-wise) in their communities to help cope with the impact. Consequently, the level of vulnerability and susceptibility to the scourges are pronounced \hyperref[b5]{(Akande and Owoyemi, 2008;}\hyperref[b18]{Hoffman, 2003}). An observable level of variations in what is experienced across geographical space as cited in existing literature have some cultural, demographic and environmental undertone among other things  {\ref (ISOCAP, 2008)}. The need to investigate empirically, the resident's knowledge on sources and associated negativities of indoor air pollutant as well as the vulnerability of urban residents in a medium sized city is of both scientific and practical importance and therefore the major purview of this paper. 
\section[{II.}]{II.} 
\section[{Literature Review}]{Literature Review}\par
Indoor Air pollution has often been described as an urban problem globally. As dangerous as polluted outdoor air can be to human health, indoor air pollution actually poses a greater health risk on a global level. About 2.8 million deaths per year results from breathing elevated levels of indoor smoke from dirty fuel. Although, many people associate air pollution with outdoor urban environment, some of the highest concentrations actually occur in rural areas \hyperref[b24]{(Sinton and Weller, 2003;}\hyperref[b19]{Mac, 2009 and}\hyperref[b31]{Theuri, 2009)}.\par
The greatest threat of indoor air pollution occurs in the developing countries of the world, where some 3.5 billion people mostly in rural areas continue to rely on traditional fuel for cooking and heating. According to a World Bank Report, indoor air pollution in developing countries is designated as one of the four most critical global environmental problems \hyperref[b10]{(Carter, 1998 and}\hyperref[b19]{Mac, 2009)}. Burning biomass fuel indoor is a major source of large amounts of smoke and other pollutants in the confined space of the home, thereby providing a perfect avenue for human exposure. Liquid and gaseous fuels such as kerosene and bottled gas, although not completely pollution free, are many times, less polluting than unprocessed solid fuels.\par
Indoor air pollution can be traced to prehistoric times when humans first moved to temperate climates and it became necessary to construct shelters and use fire inside them for cooking, warmth and light. Fire led to exposure to high levels of pollution, as evidenced by the soot found in prehistoric caves \hyperref[b6]{(Albalak, 1997)}. Approximately, half the world's population and up to 90\% of rural households in developing countries today, still rely on unprocessed biomass fuels in the form of wood, dung and crop residues (World Resources , 1998). These are typically burnt indoors in open fires or poorly functioning stoves. As a result, there are high levels of air pollution, to which women, especially those responsible for cooking, and their young children, are most heavily exposed. However, in developed countries, modernization has been accompanied by a shift from biomass fuels such as wood to petroleum products and electricity ; while in developing countries, households often continue to use simple biomass fuels, despite the fact that, cleaner and more sophisticated fuels are available,  {\ref (Smith,1987)}.\par
Although the proportion of global energy derived from biomass fuels fell from 50\% in 1900 to around 13\% in 2000, there is evidence that their use is now increasing among the poor \hyperref[b6]{(Albalak, 1997)}.\par
Poverty is one of the main barriers to the adoption of cleaner fuels. The slow pace of development in many countries suggests that biomass fuels will continue to be used by the poor for many decades. Biomass fuel is any material derived from plants or animals which is deliberately burnt by humans and wood is the most common example, but the use of animal dung and crop residues is also widespread (De \hyperref[b12]{Koning et al, 1985)}. China, South Africa and some other countries also use coal extensively for domestic needs and despite the significance of exposure to indoor air pollution and the increased risk of acute respiratory infections in childhood, the health effects have been somewhat neglected by the research community, donors and policy-makers  {\ref (Smith, 1997 and} {\ref Chen et al,1990)}.\par
In general, the types of fuel used become cleaner and more convenient, efficient and costly as people move up the energy ladder \hyperref[b26]{(Smith, 1994)}. Animal dung, on the lowest rung of the ladder, is succeeded by crop residues, wood, charcoal, kerosene, gas and electricity; thus, people tend to move up the ladder as socio-economic conditions improve. Other sources of indoor air pollution in developing countries include smoke from nearby houses, the burning of forests, agricultural land, household waste and the use of kerosene lamps \hyperref[b26]{(Smith, 1994;}\hyperref[b20]{and McCracken and Smith, 1998)} as well as industrial and vehicle emissions. Also, indoor air pollution in the form of environmental tobacco smoke can be expected to increase in developing countries. It is worth noting that fires in open hearths and the smoke associated with them often, have considerable practical value, for instance in insect control, lighting, the drying of food, fuel, and the flavouring of foods  {\ref (Smith,1997)}. 
\section[{III.}]{III.} 
\section[{Research and Methods}]{Research and Methods}\par
Structured questionnaire was employed to obtain information relating to morphology and environmental characteristics of the study area from residents in various residential densities. This information include: perception of residents on level of usage of sources of indoor air pollutants, and impacts of indoor air pollution particularly on the vulnerable group.\par
The whole of Ogbomoso Township constitute the sample frame for this research. This comprises of two local government areas (Ogbomoso North and Ogbomoso South). The local government areas form the hub of development of the city with dense heterogeneous population characteristics in terms of income, education background, tribe, and types of building among others. The city is observed to be a medium developing urban centre with unprecedented growth both in population and spatial extent \hyperref[b0]{(Adeboyejo and Abolade, 2006)}. The growth of the city has been undoubtedly attributed to its educational function which has attracted new generation banks and establishment of new hospitals. It is also recognized to be the second largest indigenous city in Oyo State after Ibadan; this further enhances its selection for the research.\par
Multistage method of sampling shall be employed for collection of primary information for this study. Using the existing spatial structure of the city, both stratified and systematic random sampling technique was employed. The inventory of localities from the twenty wards of both LGAs, their residential densities and population figures was sourced from National Population Commission (2006). The localities in the twenty \hyperref[b19]{(20)} recognizable wards within the study area was identified by residential densities (high, medium and low) using ratio 3:2:1 in that order in consonance with \hyperref[b1]{Adeboyejo (2002)}; \hyperref[b3]{Afon (2005)}; and  {\ref Singleton et.al. (1989)}.\par
Forty eight (48) localities stratified into high, medium and low residential densities was randomly selected and systematically sampled for questionnaire administration. The first resident was picked at random and subsequent ones at an interval of two (2) buildings apart. A total number of three hundred and seventy three (373) structured questionnaires was administered to the residents in the selected localities. This represents 0.1\% of the projected population for 2013. To examine resident's perception of the impacts of indoor air pollution on their health, certain indices shall be developed. These include: Awareness Index (i.e. IIEA) to examine its level of awareness on its associated impacts within the indoor environment. This was measured through Likhert scale rating from Not agreed (0), Agreed (3), Very much agreed \hyperref[b4]{(5)}. The average weight for each variable shall be computed as individual index required for the study.\par
IV. 
\section[{Discussion of Findings a) Residents' Perception on Usage of Household Materials and Indoor Air Pollution}]{Discussion of Findings a) Residents' Perception on Usage of Household Materials and Indoor Air Pollution}\par
Likhert scale rating was employed to ascertain the frequency of the use of house materials that generate indoor air pollution in the area. The responses of the respondents' were rated into four classes respectively to calculate Residents' Usage Index (RUI). Thirty four identified variables were examined to determine the frequency of residents' usage of materials that generates indoor air pollution. Each of the variables will be rated in respect to Likhert Scale (1961) as either "very frequent", "frequent", "not frequent"," none", to indicate the level of respondents' usage and each of the rating was assigned a weight value of 4,3,2, and 1 respectively in decreasing order of relevance.\par
Resident Usage Index (RUI) was each variable, was calculated, the weight value was summed up and divided by the total number of the respondents. The usage weight value (UWV) was obtained by adding the products of the numbers of responses in each of the identified variables and the weight attached to each rating. The mean of RUI distribution was derived by dividing the total UWV by total number of questionnaire. The deviation about the mean was calculated. The standard deviation (S.D) and variance of the distribution were also calculated to measure how they are scattered around the mean as illustrated in The use of" perfume" as cosmetics have the highest index value of (2.30) compared to other categories. This implies that it is the most frequently used in the study area that contributes to indoor pollution. This is probably because larger proportions of the respondents are female and they use perfume to expel body odour. This is followed sequentially by the use of "perfumed cream" (2.18), and use of Deodorants (1.90). The use of "roll on" is the least used among the identified variables under deodorants (1.60). The RUI distribution recorded a variance of 0.2024 and the standard variation of 0.22. The coefficient was 18.33\% (table \hyperref[tab_0]{1}). c) Usage of Cleaning Agents Among the variables employed to examine level of usage of cleaning agents, "germicides" has the highest index value of (2.61) as shown in Table1, which implies that it is the most frequently used household materials that constitute indoor air pollution in the study area. Most respondents use it because it helps in the prevention of germs especially in toilets and bathrooms. It is followed by the use of "bleach" (2.00). Harpic is the least used among the identified variables  {\ref (1.76)}. This is because harpic is only common with the high income earners and those with high education standard. who use modern toilet as against those with low socioeconomic status. The excess use of such materials will lead to respiratory disorder and sometimes skin irritation most especially when it comes in contact with skin. The RUI distribution recorded a variance of 0.3841 and the standard variation of 0.31. The coefficient was 19.38\%. 
\section[{d) Usage of Odour Expeller}]{d) Usage of Odour Expeller}\par
The usage of odour expeller was also examined as one of the categories of household materials liable to generate indoor pollution. Among the variables identified, in the use of air fresheners which recorded the highest usage index value of (2.30) as shown in Table \hyperref[tab_0]{1}. This implies that it is most frequently used household materials that constitute indoor air pollution in the study area. This is followed by the use of naphthalene having (1.97). Incense is least used among the identified variables under odour expellants (1.79). The excess use of all these materials has serious health implications. The RUI distribution recorded a variance of 0.1338 and the standard variation of 0.18. The coefficient was 11.11\%. 
\section[{e) Usage of Insecticides and Rodenticides}]{e) Usage of Insecticides and Rodenticides}\par
The use of insecticides like mobil, raid among others, has the highest index value of (2.29). The incidence of high index value is premised on the poor hygienic and unsanitary nature of most houses and other environment which allows for infestation of insects like mosquitoes, cockroaches and flies. Consequently, the need for insecticides of various grades and types is necessitated. On the other hand some household have employed the use of mosquito coils which has index value of 2.23 and mosquito repellant leaf RUI (1.79.) where available because it is cost free and less harmful. Similarly rodenticides have been put in use to control; the breeding of rodents and other pests. Rodenticides use had an index value of 2.14 as indicated in table \hyperref[tab_0]{1}. The Residents Usage Index with a mean value of 2.11 has a standard variation value of 0.33 and corresponding coefficient of variation of 15.64\%. The exposure of humans to such materials like insecticides without adequate ventilation in building will lead to several respiratory problems, which will undoubtedly lead to irritation of the lung. 
\section[{f) Usage of Fuels and Lightening Materials}]{f) Usage of Fuels and Lightening Materials}\par
The use of kerosene, lanterns, charcoal and generators all have high RUI index values of 2.57, 2.38, 2.20, and 2.15 respectively which imply that they are frequently used in the study area. All these are however sources of noxious indoor pollutants. Others like candle, firewood and sawdust have a relatively low RUI value (1.75) when compared with the mean value. Exposure of eyes and nose to cooking fuels can generate oxides of carbon, which often results to eyes and lung problems. The RUI distribution recorded a variance of 1.127 and the standard variation of 0.22. The coefficient was 12.87. 
\section[{g) Usage of Household Equipments}]{g) Usage of Household Equipments}\par
Among other variables employed for measurement for household equipments, use radio has the highest index value of (3.09). It is followed sequentially by the use of "electric iron" having (3.00), the use of television (2.97), the use of standing fan (2.71), and the use of refrigerator (2.57). The use of "air conditioner" has the least RUI value of 1.78. This is because it can only be afforded by the high income earners. The high usage of household equipment like radio television, use of electric iron will increase indoor temperature and sometimes emit waves that may likely heat up the body, this consequently leads to damage of cells in the body. The RUI distribution recorded a variance of 1.214 and the standard variation of 0.42. The coefficient was 15.79 h) Usage of Building Materials Among variables examined under the use of building materials " asbestos" as building material have the highest index value of (2.71). It is the most frequently used household materials that constitute indoor air pollution in the study area. It is followed sequentially by the use of paints having (2.49). The use of POP is the least among the identified variables in the use of building material with  {\ref (1.36)}. The least proportion recorded for POP is expected because it is highly expensive when compared with other roofing materials like asbestos or modern roof; consequently it is mostly used by affluent or rich people. Exposure to particles from asbestos and POP can results to cancer of the lung. The RUI distribution recorded a variance of 0.0783 and the standard variation of 0.020. The coefficient was 6.39\%.   {\ref 2} summarizes responses of residents and their vulnerability to various ailments from the use of selected household materials. The results of analysis reveals that use of Odour expeller such as air fresheners, incense and naphthalene by residents in the study area causes discomfort such as sneezing (47.0\%) and eye irritation (35.3\%) problems The same pattern of ailment was observed for fuel and lightning materials like charcoal, firewood, saw dust, kerosene, generators, naked fire lamps, lantern and others where larger proportion of residents also experience sneezing (47.8\%) and eye irritation (43.9\%). Similarly the responses on effect of building materials (asbestos, pop plywood among others) and cleaning reagents like bleach, happic etc reveals that most residents experience sneezing, eye irritation, dizziness while some reported symptoms of headache. On the contrary, the ailments experienced from the use of insecticides and rodenticide differs slightly from the pattern recorded for other household materials. It is equally revealed from result of analysis in Table  {\ref 2} that use of insecticides causes sneezing (40.5\%), dizziness (33.0\%), breathing problems(31,4\%) while use of electrical equipments like radio often cause headache (23.2\%) compared to proportion of other aliments experienced by residents. This is expected because of the high noise level mostly produced when the instrument its put to use. Generally, the ailment experienced by use of household materials liable to cause indoor pollution varies from sneezing, eye irritation, dizziness headache and breathing problems. The symptoms of sneezing associated with most household materials is established in literature that nasal irritation and neurological damage is associated with the use of asbestos ceilings.\par
Further analysis reveals that the proportion of ailment among residential density varies and decreases from brazillian, flat compound and flat residential unit. The distribution of diseases among different building type is an indication of building characteristics vis a vis design pattern type of sources of household materials and socioeconomic characteristics of residents. j) Residents' Perception on the Level of Exposure of Household Members to Indoor Air Pollution Analysis on household members' vulnerability to indoor air pollution in the study area, was analyzed using the Likhert scale. Four level of perception were used to rate respondents' level of agreement on selected household members' exposure to indoor air pollution. They include "Strongly agree", "Agree", "Strongly disagree" and "Disagree" with the ratings being from 4 to 1 in order of agreement. Residents' responses to these were rated numerically to calculate Residents' Agreement Index (RA g I). Four basic household members were identified (namely fathers, mothers, male and female children). These was cross matched to derive seven different suppositions on which respondent's level of agreement can be queried and rated using the Likhert scale. Resident's Agreement Index (RA g I) of each supposition and the calculated weight value (WV) of each was summed up to get the Total Weighted Value (TWV). This was divided by the total number of the respondents. Calculated Weighted Value (WV) was derived by adding the products of the numbers of responses for each supposition was and the weight attached to each rating. TWV = Total Weight Value = (WV X rating) 0 0.5  \hyperref[tab_0]{1} shows the respondents' level of agreement on which household members are most susceptible to indoor pollution. A critical examination of the result of analysis reveals low Agreement index (RA g I) of 1.85 for response "on male children are more exposed to indoor air pollution than the female". This implies that majority of the sampled population do not agree that male children are more exposed to indoor air pollution compared to the female. This explains why the supposition that female children are more exposed to indoor air pollution has a very high (RA g I) of 2.72. The same trend is shown in the third supposition with majority not agreeing that fathers (RA g I of 1.81) are more exposed than mothers but agreeing that mothers are the ones really exposed with a very high RA g I value of 2.97. Moreover, the table further suggests that parents (RA g I of 2.28)) are more exposed to indoor air pollution than children (RA g I of 2.21) in the study area. Conclusively and deducing from the (RA g I) values in order of decreasing magnitude, the most susceptible to indoor air pollution within the residential environment are mothers with the highest RA g I value of 2.97. Next are the female children with (RA g I) of 2.72. This certainly owes to the fact that girls whether directly or indirectly share the mother's duty in the home. Then the male children are next to the female in susceptibility with RA g I value 1.85 while the fathers are the least affected probably because they are less involved with household chores. The distribution of of calculated RPI is illustrated in Figure 2, where majority of RPI values fluctuate above the mean. This implies they were highly perceived by residents as vulnerable group to indoor pollution V. 
\section[{Recommendation and Conclusion}]{Recommendation and Conclusion}\par
The paper has established that usage of most household materials that are liable to generate pollution is mostly used by residents. Continuous usage and exposure to such household materials will undoubtedly cause major damage to organs of the vulnerable group if appropriate action are not put in place. The paper therefore, recommends use of local household material that are less free of pollutant and cleaner fuel should be made available by concerned government. Also proper awareness programme should be carried out to sensitize populace on associated danger on exposure to household materials the are prone to generate indoor pollution. \begin{figure}[htbp]
\noindent\textbf{}\includegraphics[]{image-2.png}
\caption{\label{fig_0}}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{}\includegraphics[]{image-3.png}
\caption{\label{fig_1}Figure1:}\end{figure}
  \begin{figure}[htbp]
\noindent\textbf{1} \par 
\begin{longtable}{P{0.2199561403508772\textwidth}P{0.049707602339181284\textwidth}P{0.05716374269005847\textwidth}P{0.04100877192982456\textwidth}P{0.057785087719298245\textwidth}P{0.06275584795321637\textwidth}P{0.0658625730994152\textwidth}P{0.08388157894736842\textwidth}P{0.09258040935672514\textwidth}P{0.11929824561403508\textwidth}}
Household Materials\tabcellsep 4\tabcellsep \multicolumn{2}{l}{Respondents Opinion 3 2}\tabcellsep 1\tabcellsep NR\tabcellsep AWV\tabcellsep RAI\tabcellsep (A-A)\tabcellsep (A-A) 2\\
Perfume\tabcellsep 78\tabcellsep 76\tabcellsep 83\tabcellsep 123\tabcellsep 360\tabcellsep 829\tabcellsep 2.30\tabcellsep -0.3\tabcellsep 0.00\\
Perfumed cream\tabcellsep 100\tabcellsep 85\tabcellsep 55\tabcellsep 120\tabcellsep 360\tabcellsep 785\tabcellsep 2.18\tabcellsep -0.18\tabcellsep 0.0324\\
Deodorants\tabcellsep 34\tabcellsep 72\tabcellsep 70\tabcellsep 184\tabcellsep 360\tabcellsep 676\tabcellsep 1.90\tabcellsep 0.1\tabcellsep 0.01\\
Roll on\tabcellsep 35\tabcellsep 51\tabcellsep 72\tabcellsep 202\tabcellsep 360\tabcellsep 567\tabcellsep 1.60\tabcellsep 0.4\tabcellsep 0.16\\
Germicides\tabcellsep 113\tabcellsep 89\tabcellsep 61\tabcellsep 97\tabcellsep 360\tabcellsep 938\tabcellsep 2.61\tabcellsep -0.49\tabcellsep 0.2401\\
Bleach\tabcellsep 32\tabcellsep 89\tabcellsep 86\tabcellsep 153\tabcellsep 360\tabcellsep 720\tabcellsep 2.00\tabcellsep 0.12\tabcellsep 0.0144\\
Harpic\tabcellsep 42\tabcellsep 56\tabcellsep 77\tabcellsep 185\tabcellsep 360\tabcellsep 633\tabcellsep 1.76\tabcellsep 0.36\tabcellsep 0.1296\\
Air Fresheners\tabcellsep 90\tabcellsep 67\tabcellsep 65\tabcellsep 136\tabcellsep 360\tabcellsep 827\tabcellsep 2.30\tabcellsep -0.28\tabcellsep 0.0784\\
Naphthalene\tabcellsep 50\tabcellsep 70\tabcellsep 60\tabcellsep 180\tabcellsep 360\tabcellsep 710\tabcellsep 1.97\tabcellsep 0.05\tabcellsep 0.0025\\
Incense\tabcellsep 47\tabcellsep 51\tabcellsep 43\tabcellsep 219\tabcellsep 360\tabcellsep 646\tabcellsep 1.79\tabcellsep 0.23\tabcellsep 0.0529\\
Insecticides\tabcellsep 45\tabcellsep 129\tabcellsep 71\tabcellsep 115\tabcellsep 360\tabcellsep 824\tabcellsep 2.29\tabcellsep -0.18\tabcellsep 0.0324\\
Mosquito coil\tabcellsep 62\tabcellsep 92\tabcellsep 74\tabcellsep 132\tabcellsep 360\tabcellsep 804\tabcellsep 2.23\tabcellsep -0.12\tabcellsep 0.0144\\
Rodenticides\tabcellsep 55\tabcellsep 87\tabcellsep 72\tabcellsep 146\tabcellsep 360\tabcellsep 771\tabcellsep 2.14\tabcellsep -0.03\tabcellsep 0.0009\\
Mosquito Repellant\tabcellsep 36\tabcellsep 70\tabcellsep 36\tabcellsep 218\tabcellsep 360\tabcellsep 644\tabcellsep 1.79\tabcellsep 0.32\tabcellsep 0.1024\\
leaf\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \\
Rechargeable\tabcellsep 144\tabcellsep 93\tabcellsep 38\tabcellsep 85\tabcellsep 360\tabcellsep 1016\tabcellsep 2.82\tabcellsep -0.66\tabcellsep 0.4356\\
Lantern\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \\
Kerosene\tabcellsep 111\tabcellsep 91\tabcellsep 49\tabcellsep 109\tabcellsep 360\tabcellsep 924\tabcellsep 2.57\tabcellsep -0.41\tabcellsep 0.1681\\
Lantern\tabcellsep 88\tabcellsep 96\tabcellsep 41\tabcellsep 135\tabcellsep 360\tabcellsep 857\tabcellsep 2.38\tabcellsep -0.22\tabcellsep 0.0484\\
Charcoal\tabcellsep 67\tabcellsep 87\tabcellsep 56\tabcellsep 150\tabcellsep 360\tabcellsep 791\tabcellsep 2.20\tabcellsep -0.04\tabcellsep 0.0016\\
Generator\tabcellsep 94\tabcellsep 93\tabcellsep 41\tabcellsep 132\tabcellsep 360\tabcellsep 775\tabcellsep 2.15\tabcellsep 0.01\tabcellsep 0.001\\
Candle\tabcellsep 43\tabcellsep 69\tabcellsep 48\tabcellsep 199\tabcellsep 360\tabcellsep 674\tabcellsep 1.87\tabcellsep 0.29\tabcellsep 0.0841\\
Firewood\tabcellsep 60\tabcellsep 48\tabcellsep 33\tabcellsep 219\tabcellsep 360\tabcellsep 669\tabcellsep 1.86\tabcellsep 0.3\tabcellsep 0.09\\
Naked Fire\tabcellsep 42\tabcellsep 61\tabcellsep 40\tabcellsep 217\tabcellsep 360\tabcellsep 648\tabcellsep 1.80\tabcellsep 0.36\tabcellsep 0.1296\\
Saw Dust\tabcellsep 50\tabcellsep 39\tabcellsep 43\tabcellsep 228\tabcellsep 360\tabcellsep 631\tabcellsep 1.75\tabcellsep 0.41\tabcellsep 0.1682\\
Radio\tabcellsep 172\tabcellsep 107\tabcellsep 23\tabcellsep 59\tabcellsep 360\tabcellsep 1114\tabcellsep 3.09\tabcellsep -0.43\tabcellsep 0.1855\\
Electric Iron\tabcellsep 157\tabcellsep 108\tabcellsep 32\tabcellsep 63\tabcellsep 360\tabcellsep 1079\tabcellsep 3.00\tabcellsep -0.34\tabcellsep 0.1154\\
Television\tabcellsep 177\tabcellsep 75\tabcellsep 29\tabcellsep 79\tabcellsep 360\tabcellsep 1070\tabcellsep 2.97\tabcellsep -0.31\tabcellsep 0.0988\\
Standing Fan\tabcellsep 131\tabcellsep 85\tabcellsep 51\tabcellsep 93\tabcellsep 360\tabcellsep 974\tabcellsep 2.71\tabcellsep -0.05\tabcellsep 0.0025\\
Refrigerator\tabcellsep 135\tabcellsep 63\tabcellsep 35\tabcellsep 127\tabcellsep 360\tabcellsep 926\tabcellsep 2.57\tabcellsep 0.09\tabcellsep 0.001\\
Coal Iron\tabcellsep 102\tabcellsep 94\tabcellsep 37\tabcellsep 125\tabcellsep 360\tabcellsep 889\tabcellsep 2.47\tabcellsep 0.19\tabcellsep 0.0361\\
Air conditioner\tabcellsep 62\tabcellsep 36\tabcellsep 23\tabcellsep 239\tabcellsep 360\tabcellsep 641\tabcellsep 1.78\tabcellsep 0.88\tabcellsep 0.7744\\
Asbestos\tabcellsep 141\tabcellsep 80\tabcellsep 31\tabcellsep 108\tabcellsep 360\tabcellsep 974\tabcellsep 2.71\tabcellsep 0.02\tabcellsep 0.004\\
Painting\tabcellsep 108\tabcellsep 87\tabcellsep 39\tabcellsep 126\tabcellsep 360\tabcellsep 897\tabcellsep 2.49\tabcellsep -0.3\tabcellsep 0.09\\
Furniture\tabcellsep 106\tabcellsep 89\tabcellsep 45\tabcellsep 12\tabcellsep 360\tabcellsep 793\tabcellsep 2.20\tabcellsep -0.01\tabcellsep 0.0001\end{longtable} \par
 
\caption{\label{tab_0}Table 1 :}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{3} \par 
\begin{longtable}{P{0.5233751425313569\textwidth}P{0.09789053591790194\textwidth}P{0.22194982896237173\textwidth}P{0.006784492588369441\textwidth}}
\tabcellsep \tabcellsep \tabcellsep 43\\
Odour Expellers\tabcellsep Frequency\tabcellsep Percentage\tabcellsep \\
Dizziness\tabcellsep 85\tabcellsep 25.0\%\tabcellsep \\
Eye Irritation\tabcellsep 120\tabcellsep 35.3\%\tabcellsep \\
Sneezing\tabcellsep 160\tabcellsep 47.0\%\tabcellsep \\
Head Ache\tabcellsep 74\tabcellsep 21.8\%\tabcellsep \\
Breathing problems\tabcellsep 66\tabcellsep 19.4\%\tabcellsep \\
Fuel and Lightening materials\tabcellsep \tabcellsep \tabcellsep \\
Dizziness\tabcellsep 73\tabcellsep 21.7\%\tabcellsep \\
Eye Irritation\tabcellsep 148\tabcellsep 43.9\%\tabcellsep \\
Sneezing\tabcellsep 161\tabcellsep 47.8\%\tabcellsep \\
Head Ache\tabcellsep 82\tabcellsep 24.3\%\tabcellsep \\
Breathing problems\tabcellsep 100\tabcellsep 29.7\%\tabcellsep \\
Building Materials Dizziness\tabcellsep 24\tabcellsep 7.1\%\tabcellsep ( B )\\
Eye Irritation\tabcellsep 62\tabcellsep 18.2\%\tabcellsep \\
Sneezing\tabcellsep 88\tabcellsep 25.9\%\tabcellsep \\
Head Ache\tabcellsep 42\tabcellsep 12.4\%\tabcellsep \\
Breathing problems\tabcellsep 35\tabcellsep 10.3\%\tabcellsep \\
Insecticides/Rodenticides\tabcellsep \tabcellsep \tabcellsep \\
Dizziness\tabcellsep 78\tabcellsep 23.1\%\tabcellsep \\
Eye Irritation\tabcellsep 62\tabcellsep 18.3\%\tabcellsep \\
Sneezing\tabcellsep 137\tabcellsep 40.5\%\tabcellsep \\
Head Ache\tabcellsep 61\tabcellsep 18.0\%\tabcellsep \\
Breathing problems\tabcellsep 89\tabcellsep 26.3\%\tabcellsep \\
Cosmetics\tabcellsep \tabcellsep \tabcellsep \\
Dizziness\tabcellsep 114\tabcellsep 33.0\%\tabcellsep \\
Eye Irritation\tabcellsep 111\tabcellsep 32.1\%\tabcellsep \\
Sneezing\tabcellsep 142\tabcellsep 41.1\%\tabcellsep \\
Head Ache\tabcellsep 42\tabcellsep 15.7\%\tabcellsep \\
Breathing problems\tabcellsep 106\tabcellsep 31.4\%\tabcellsep \\
Cleaning Reagents\tabcellsep \tabcellsep \tabcellsep \\
Dizziness\tabcellsep 104\tabcellsep 30.9\%\tabcellsep \\
Eye Irritation\tabcellsep 101\tabcellsep 29.7\%\tabcellsep \\
Sneezing\tabcellsep 123\tabcellsep 36.2\%\tabcellsep \\
Head Ache\tabcellsep 56\tabcellsep 16.5\%\tabcellsep \\
Breathing problems\tabcellsep 52\tabcellsep 15.3\%\tabcellsep \\
Electrical Equipment\tabcellsep Frequency\tabcellsep Percentage\tabcellsep \\
Dizziness\tabcellsep 43\tabcellsep 12.7\%\tabcellsep \\
Eye Irritation\tabcellsep 68\tabcellsep 20.1\%\tabcellsep \\
Sneezing\tabcellsep 59\tabcellsep 17.4\%\tabcellsep \\
Head Ache\tabcellsep 79\tabcellsep 23.2\%\tabcellsep \\
Breathing problems\tabcellsep 41\tabcellsep 12.0\%\tabcellsep \end{longtable} \par
  {\small\itshape [Note: Source: Authors' Field Survey(2014)    ]} 
\caption{\label{tab_1}Table 3 :}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{4} \par 
\begin{longtable}{P{0.507306338028169\textwidth}P{0.05985915492957747\textwidth}P{0.0329225352112676\textwidth}P{0.040404929577464783\textwidth}P{0.029929577464788734\textwidth}P{0.034419014084507045\textwidth}P{0.03591549295774648\textwidth}P{0.04639084507042253\textwidth}P{0.06285211267605634\textwidth}}
Vulnerable Group\tabcellsep \multicolumn{4}{l}{WV for Respondents' Level of}\tabcellsep NR\tabcellsep TWV\tabcellsep RPI\tabcellsep Remark\\
\tabcellsep \tabcellsep \tabcellsep Agreement\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \\
\tabcellsep 4\tabcellsep 3\tabcellsep 2\tabcellsep 1\tabcellsep \tabcellsep \tabcellsep \tabcellsep \\
Male children are more exposed than\tabcellsep 88\tabcellsep 135\tabcellsep 108\tabcellsep 125\tabcellsep 246\tabcellsep 456\tabcellsep 1.85\tabcellsep Low\\
female children\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \\
Female children are more exposed than male children\tabcellsep 348\tabcellsep 225\tabcellsep 24\tabcellsep 72\tabcellsep 246\tabcellsep 669\tabcellsep 2.72\tabcellsep Very High\\
Mothers are more exposed than fathers\tabcellsep 560\tabcellsep 297\tabcellsep 22\tabcellsep 70\tabcellsep 320\tabcellsep 949\tabcellsep 2.97\tabcellsep Very High\\
\multicolumn{2}{l}{Fathers are more exposed than mothers 120}\tabcellsep 174\tabcellsep 102\tabcellsep 176\tabcellsep 315\tabcellsep 572\tabcellsep 1.81\tabcellsep Low\\
\multicolumn{2}{l}{Children are more exposed than parents 276}\tabcellsep 240\tabcellsep 36\tabcellsep 150\tabcellsep 317\tabcellsep 702\tabcellsep 2.21\tabcellsep High\\
\multicolumn{2}{l}{Parents are more exposed than children 228}\tabcellsep 297\tabcellsep 78\tabcellsep 123\tabcellsep 318\tabcellsep 726\tabcellsep 2.28\tabcellsep High\\
All are equally exposed\tabcellsep 340\tabcellsep 156\tabcellsep 110\tabcellsep 148\tabcellsep 340\tabcellsep 754\tabcellsep 2.21\tabcellsep High\\
Source: Authors' Field Survey, (2014)\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \end{longtable} \par
 
\caption{\label{tab_2}Table 4 :}\end{figure}
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