<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">OJEpi</journal-id><journal-title-group><journal-title>Open Journal of Epidemiology</journal-title></journal-title-group><issn pub-type="epub">2165-7459</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojepi.2015.52011</article-id><article-id pub-id-type="publisher-id">OJEpi-55364</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  A Study to Investigate Major Community Health Challenges and Their Predisposing Factors in Bushenyi District of South Western Uganda
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>saac</surname><given-names>Echoru</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Keneth</surname><given-names>Iceland Kasozi</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Emmanuel</surname><given-names>Tiyo Ayikobua</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Simon</surname><given-names>Peter Emorut</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Department of Physiology, Faculty of Biomedical Sciences, Kampala International University Western Campus, Bushenyi, Uganda</addr-line></aff><aff id="aff1"><addr-line>Department of Anatomy, Faculty of Biomedical Sciences, Kampala International University Western Campus, Bushenyi, Uganda</addr-line></aff><aff id="aff3"><addr-line>Department of Public Health, Faculty of Allied Health sciences, Kampala International University Western Campus, Bushenyi, Uganda</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>echoruisaac@gmail.com(SE)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>07</day><month>04</month><year>2015</year></pub-date><volume>05</volume><issue>02</issue><fpage>81</fpage><lpage>88</lpage><history><date date-type="received"><day>22</day>	<month>January</month>	<year>2015</year></date><date date-type="rev-recd"><day>accepted</day>	<month>30</month>	<year>March</year>	</date><date date-type="accepted"><day>7</day>	<month>April</month>	<year>2015</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Poor health care systems have contributed to poor standard of living in Uganda. The aim of the study was to assess major health challenges to community health and identify major predisposing factors. This was a cross sectional study in Kyakagina Village of Bushenyi of South Western Uganda. A total of 39 households which included 102 children (&lt;19 years) and 80 adults (&gt;19 years) were included in the study and a semi structured questionnaire was used. It was shown that there were 39 homes and 182 members with more males than females. Age and gender were shown not to be associated (P = 0.157). The majority of participants who boiled water in the community were showed to be of both primary and secondary level of education at 48.7% and 51.3%, respectively, while a significant proportion was found to drink only filtered and sedimented water without treatment at levels of 87.2% and 82.1% who were of only secondary level of education. The adoption of modern contraceptive pills, tube ligation and injections especially amongst the secondary educated level was found to be high, i.e. 94.9%, 87.2%, 82.1%, respectively. Inferential analysis showed that there existed marked differences (P &lt; 0.001) in the health practices between persons of different education levels. Major health challenges identified included malaria, cough and cold, diarrhea which were most prevalent amongst children at 19.6%, 13.7%, and 10.8%, respectively. In conclusion, failure to clear bushes, boil drinking water and cover pit latrines (P = 0.213) were the major risk factors identified independent of age and education status in the various homesteads.
 
</p></abstract><kwd-group><kwd>Community Health Challenges in Uganda</kwd><kwd> Community Health in Western Uganda</kwd><kwd> Public Health Uganda</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Uganda is faced with a couple of health extension service challenges and one of the hindrances to further development both socially and economically in most developing countries like Uganda is probably due to poor health that people in rural communities are constantly exposed to, thus lowering their standards of living inevitably [<xref ref-type="bibr" rid="scirp.55364-ref1">1</xref>] . These challenges come as a result of disease burden that originate from poor health practices which are further complicated by the low levels of literacy in the communities [<xref ref-type="bibr" rid="scirp.55364-ref2">2</xref>] . School going children in these communities tend to experience interruptions in their academic studies and household propagated illnesses are thought to be major contributors to this problem [<xref ref-type="bibr" rid="scirp.55364-ref3">3</xref>]. This has been shown to subsequently lead to limited and poor individual academic progress, thus being a major contributor to the high school dropout rates in several rural communities and the observed limited progress of the universal primary education (UPE) programme in Uganda [<xref ref-type="bibr" rid="scirp.55364-ref2">2</xref>] -[<xref ref-type="bibr" rid="scirp.55364-ref4">4</xref>] . The World Health Organization (WHO) recommends the usage of community health workers at the community level for better management of health challenges like malaria and pneumonia through community case management due to the severe human resource challenges in the Africa continent [<xref ref-type="bibr" rid="scirp.55364-ref1">1</xref>] . Epidemiological studies have shown that children (&lt;5 years) are most predisposed to illnesses like malaria, diarrhea, and pneumonia as they have been shown to be associated with poor community health and hygiene [<xref ref-type="bibr" rid="scirp.55364-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.55364-ref2">2</xref>] . Challenges to health practices have been associated with malnutrition in children [<xref ref-type="bibr" rid="scirp.55364-ref3">3</xref>] , low socioeconomic status and high illiteracy rates in mothers [<xref ref-type="bibr" rid="scirp.55364-ref4">4</xref>] , lack of safe drinking-water, poor sanitation and hygiene [<xref ref-type="bibr" rid="scirp.55364-ref5">5</xref>] , increasing population growth and high incidence of young mothers (&lt;18 years) [<xref ref-type="bibr" rid="scirp.55364-ref6">6</xref>] . This has subsequently contributed greatly to the low progress in development of the rural communities at both socio-economic and health levels [<xref ref-type="bibr" rid="scirp.55364-ref7">7</xref>] . Due to the prevailing poor hygienic conditions in these communities, gastrointestinal parasites have been identified at high prevalence levels, and strong associations with socio-economic and community health practices have been demonstrated [<xref ref-type="bibr" rid="scirp.55364-ref8">8</xref>] . Studies have further shown that the majority (≥85%) of the Sub-Saharan African population still suffer from preventable diseases through poor hygienic practices, thus most of the mortalities witnessed in the 21<sup>st</sup> century would totally be avoided especially amongst children [<xref ref-type="bibr" rid="scirp.55364-ref9">9</xref>] . The increasing incidence of gastrointestinal diseases raises major concerns on community hygiene and waste management, which have also continued to be major challenges for the local authorities in developing countries due to the high rate of waste accumulation amidst a dysfunctional decentralized local government in several communities [<xref ref-type="bibr" rid="scirp.55364-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.55364-ref11">11</xref>] .</p><p>The local government in Kampala (Uganda) has endeavored to educate and actively get involved in helping communities work on their general health; however, major challenges on the appropriate methods on waste management and recycling still exist, thus leading to limited progress on this subject in the region and children have been reported to be the major victims in disease outbreaks [<xref ref-type="bibr" rid="scirp.55364-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.55364-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.55364-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.55364-ref13">13</xref>] . These weaknesses in the national efforts to promote community health have subsequently led to the creation of new habitats for various disease vectors, and foremost of these are malaria and intestinal infections [<xref ref-type="bibr" rid="scirp.55364-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.55364-ref15">15</xref>] . The above factors clearly show that communities face major health challenges that are often neglected or never identified for integrative national planning [<xref ref-type="bibr" rid="scirp.55364-ref16">16</xref>] . Several factors are believed to play crucial roles in the poor adoption of national programs in different rural communities, but the major predisposition factor has been established to be the limited human resource of medical staff in rural communities [<xref ref-type="bibr" rid="scirp.55364-ref17">17</xref>] . This study was carried out to assess the major health challenges and identify any associated risk factors in a rural community of South Western Uganda.</p></sec><sec id="s2"><title>2. Materials and Methods</title><p>This was a cross sectional study carried out in a rural community of Kyakagina Village in Bushenyi District of South Western Uganda for a period of five months (January to May 2014). Participants in the study were residents from Kyakagina village and a total of 39 households which included 102 children (&lt;19 years) and 80 adults (&gt;19 years) were included in the study, who were chosen randomly. The study consisted of 40 homesteads. From the homes selected, consent was sought from the family head and members of the family that were available, data was collected and recorded according to gender and age i.e. children (&lt;19 years) and adults (&gt;19 years) and all members who were visitors of less than one month were excluded from the study. Household information was collected through a structured questionnaire which was administered to the homesteads and information on health related challenges, waste management, family planning, nutrition, sanitataion was collected. On site observations were made to validate responses on the data collection tool. Data was recorded as frequencies, expressed as percentages, and analysis carried out using SPSS version 21 to determine group associations of educational standards and the associated risk factors. Statistical analysis was done and significance was reported at P ≤ 0.05.</p></sec><sec id="s3"><title>3. Results</title><p>There were 182 respondents of which 102 were children and 80 were adults. It was shown that there were more males than females as shown in <xref ref-type="table" rid="table1">Table 1</xref>. Age and gender were shown not to be associated (P = 0.157). Out of the 39 homes in the study, most members were farmers (59%) as shown in <xref ref-type="table" rid="table2">Table 2</xref>. It was also shown that the major level of education in the community was at primary level (51.3%) followed by secondary school level as shown in <xref ref-type="table" rid="table3">Table 3</xref>. No significant relationship (P = 0.213) was shown to exist between secondary and primary school leavers in comparison to those that did not attend any school. Out of 39 homes from the study, mulching and burning were identified as major means of solid waste management with frequencies of 46.2%, 53.8% and 33.3% and 66.7% respectively in homes falling under primary and secondary school level of education category.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Showing gender and age in the study area</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="3"  >Age</th><th align="center" valign="middle"  colspan="2"  >Gender</th></tr></thead><tr><td align="center" valign="middle"  colspan="2"  >Frequency (%)</td></tr><tr><td align="center" valign="middle" >Males</td><td align="center" valign="middle" >Females</td></tr><tr><td align="center" valign="middle" >Children</td><td align="center" valign="middle" >55 (30.2)</td><td align="center" valign="middle" >47 (25.2)</td></tr><tr><td align="center" valign="middle" >Adults</td><td align="center" valign="middle" >38 (20.9)</td><td align="center" valign="middle" >42 (20.1)</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Showing occupation of participants in the study area. Further analysis, P ≤ 0.199</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Parameter</th><th align="center" valign="middle"  rowspan="2"  >Variables</th><th align="center" valign="middle" >Positive</th><th align="center" valign="middle" >Negative</th></tr></thead><tr><td align="center" valign="middle"  colspan="2"  >Frequency (%)</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Occupation</td><td align="center" valign="middle" >Peasant farmers</td><td align="center" valign="middle" >23 (59)</td><td align="center" valign="middle" >16 (41)</td></tr><tr><td align="center" valign="middle" >Business</td><td align="center" valign="middle" >14 (35.9)</td><td align="center" valign="middle" >25 (64.1)</td></tr><tr><td align="center" valign="middle" >Civil service</td><td align="center" valign="middle" >02 (5.1)</td><td align="center" valign="middle" >37 (94.9)</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Showing levels of education in the study area</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Parameter</th><th align="center" valign="middle"  rowspan="2"  >Variable</th><th align="center" valign="middle" >Positive</th><th align="center" valign="middle" >Negative</th></tr></thead><tr><td align="center" valign="middle"  colspan="2"  >Frequency (%)</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Level of education</td><td align="center" valign="middle" >Primary</td><td align="center" valign="middle" >41 (51.3)</td><td align="center" valign="middle" >39 (48.7)</td></tr><tr><td align="center" valign="middle" >Secondary</td><td align="center" valign="middle" >26 (32.5)</td><td align="center" valign="middle" >54 (67.5)</td></tr><tr><td align="center" valign="middle" >Tertiary</td><td align="center" valign="middle" >03 (3.8)</td><td align="center" valign="middle" >77 (96.2)</td></tr><tr><td align="center" valign="middle" >None</td><td align="center" valign="middle" >10 (12.5)</td><td align="center" valign="middle" >70 (87.5)</td></tr></tbody></table></table-wrap><p>Majority of participants in both levels of education boiled water for drinking i.e. 48.7% and 51.3% respectively while a significant proportion among the secondary level category was found to drink water that was filtered and sedimented i.e. 87.2% and 82.1% respectively as shown in <xref ref-type="table" rid="table4">Table 4</xref>. Inferential analysis showed there existed marked differences (P &lt; 0.001) in the health practices between persons of different education levels. Soak pits were often used for waste water or sewage water drainage by a group of participants majorly in the category of secondary level education (84.6%) and the nutritional status in children were found to be good (74.4%) in the secondary school level of education category compared to those in primary level category (25.6%). The most practice family method among the primary school level category was natural method (withdrawal) with 46.2% well as 94.9% and 87.2% practiced tube legation and use of pills respectively. Majority of the unclean toilets were found to be in homesteads of participants who had attained at least a secondary level of education (61.1%) compare to 38.9% among those who had attained a primary level education. About 75% and 25% of the study homes had hand washing facilities i.e. secondary versus primary level of education respectively and 66.7% of the homes in secondary level kept their bird shelter in their kitchens as compared to 33% from primary level of education who had separate animal and bird house as shown in <xref ref-type="table" rid="table4">Table 4</xref>. The major health challenge was malaria, cough and cold, diarrhea especially in children at 19.6%, 13.7%, and 10.8% respectively as shown in <xref ref-type="table" rid="table5">Table 5</xref>. Further analysis showed there existed no significant differences (P = 0.213) in the community illnesses in both</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Showing health practices in the study area</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Parameter</th><th align="center" valign="middle"  rowspan="2"  >Variable</th><th align="center" valign="middle" >Primary level</th><th align="center" valign="middle" >Secondary level</th></tr></thead><tr><td align="center" valign="middle"  colspan="2"  >Frequency (%)</td></tr><tr><td align="center" valign="middle" >Solid waste management</td><td align="center" valign="middle" >Refuse pit</td><td align="center" valign="middle" >8 (20.5)</td><td align="center" valign="middle" >31 (79.5)</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Mulching</td><td align="center" valign="middle" >18 (46.2)</td><td align="center" valign="middle" >21 (53.8)</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Burning</td><td align="center" valign="middle" >13 (33.3)</td><td align="center" valign="middle" >26 (66.7)</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Burying</td><td align="center" valign="middle" >0 (0)</td><td align="center" valign="middle" >39 (100)</td></tr><tr><td align="center" valign="middle" >Soak pit</td><td align="center" valign="middle" >Present</td><td align="center" valign="middle" >6 (15.4)</td><td align="center" valign="middle" >33 (84.6)</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Absent</td><td align="center" valign="middle" >33 (84.6)</td><td align="center" valign="middle" >6 (15.4)</td></tr><tr><td align="center" valign="middle" >Water purification</td><td align="center" valign="middle" >Boiling</td><td align="center" valign="middle" >19 (48.7)</td><td align="center" valign="middle" >20 (51.3)</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Add chemical</td><td align="center" valign="middle" >1 (2.6)</td><td align="center" valign="middle" >38 (97.4)</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Filter</td><td align="center" valign="middle" >12 (30.8)</td><td align="center" valign="middle" >27 (87.2)</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Sedimentation</td><td align="center" valign="middle" >7 (17.9)</td><td align="center" valign="middle" >32 (82.1)</td></tr><tr><td align="center" valign="middle" >Family planning</td><td align="center" valign="middle" >Tubal ligation</td><td align="center" valign="middle" >2 (5.1)</td><td align="center" valign="middle" >37 (94.9)</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Pills</td><td align="center" valign="middle" >12 (30.8)</td><td align="center" valign="middle" >38 (87.2)</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Injections</td><td align="center" valign="middle" >7 (17.9)</td><td align="center" valign="middle" >32 (82.1)</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Natural</td><td align="center" valign="middle" >18 (46.2)</td><td align="center" valign="middle" >21 (53.8)</td></tr><tr><td align="center" valign="middle" >Nutrition (children)</td><td align="center" valign="middle" >Good</td><td align="center" valign="middle" >10 (25.6)</td><td align="center" valign="middle" >29 (74.4)</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Fair</td><td align="center" valign="middle" >10 (25.6)</td><td align="center" valign="middle" >29 (74.4)</td></tr><tr><td align="center" valign="middle" >Condition of pit latrines</td><td align="center" valign="middle" >Clean</td><td align="center" valign="middle" >25 (64.1)</td><td align="center" valign="middle" >14 (35.9)</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Not clean</td><td align="center" valign="middle" >14 (38.9)</td><td align="center" valign="middle" >25 (61.1))</td></tr><tr><td align="center" valign="middle" >Hand washing practices</td><td align="center" valign="middle" >Present</td><td align="center" valign="middle" >10 (25.6)</td><td align="center" valign="middle" >29 (74.4)</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Absent</td><td align="center" valign="middle" >29 (74.4)</td><td align="center" valign="middle" >10 (25.6)</td></tr><tr><td align="center" valign="middle" >Animal and bird shelter</td><td align="center" valign="middle" >Kitchen</td><td align="center" valign="middle" >13 (33.3)</td><td align="center" valign="middle" >26 (66.7)</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Separate</td><td align="center" valign="middle" >26 (66.7)</td><td align="center" valign="middle" >13 (33.3)</td></tr></tbody></table></table-wrap><p>children and adults. It was shown that community members who had a higher level of education sort health advice from clinics, traditional healer, and health centers at 94.9%, 97.4%, and 79.5% respectively as shown in <xref ref-type="table" rid="table6">Table 6</xref>. The study showed that members in the community were not actively involved in community activities that promote health with their neighbors as shown in <xref ref-type="table" rid="table7">Table 7</xref>.</p></sec><sec id="s4"><title>4. Discussion</title><p>Majority of the study participants in the homesteads were of the male gender as shown in <xref ref-type="table" rid="table1">Table 1</xref>. Age and gender were shown not to be associated (P = 0.157). This would probably be because of the community cultural values were men are freely allowed to talk to strangers (“researchers”), while women are forced to keep a silent mouth. This generally shows that considerable gender inequality issues still stand strong in this rural community [<xref ref-type="bibr" rid="scirp.55364-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.55364-ref4">4</xref>] . It was also observed the majority of the women never completed their education careers thus affirming that the rate of school dropouts, and maginalization of the girl child still stand strong in a couple of rural communities in the 21<sup>st</sup> centrury [<xref ref-type="bibr" rid="scirp.55364-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.55364-ref3">3</xref>] . Poverty and lack of family support were identified as the major predisposition factors to the failure of the community members to proceed with secular education. This further highlights the major challenges currently facing the UPE programme nationwide [<xref ref-type="bibr" rid="scirp.55364-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.55364-ref6">6</xref>] .</p><p>Despite of the high levels of poverty in the community, several homesteads were found to be actively involved in a couple of commercial activities such as dairy farming, plantation agriculture (growing bananas on large scale) and a few members were sole proprietors. The commercial businesses were solely observed to be</p><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Showing common illness in the study area</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Parameter</th><th align="center" valign="middle"  rowspan="2"  >Variable</th><th align="center" valign="middle" >Children</th><th align="center" valign="middle" >Adults</th></tr></thead><tr><td align="center" valign="middle"  colspan="2"  >Frequency (%)</td></tr><tr><td align="center" valign="middle"  rowspan="5"  >Common illness</td><td align="center" valign="middle" >Malaria</td><td align="center" valign="middle" >20 (19.6)</td><td align="center" valign="middle" >20 (25)</td></tr><tr><td align="center" valign="middle" >Cough and cold</td><td align="center" valign="middle" >14 (13.7)</td><td align="center" valign="middle" >6 (7.5)</td></tr><tr><td align="center" valign="middle" >Hypertension</td><td align="center" valign="middle" >0 (0)</td><td align="center" valign="middle" >1 (1.3)</td></tr><tr><td align="center" valign="middle" >Diarrhea</td><td align="center" valign="middle" >11 (10.8)</td><td align="center" valign="middle" >4 (5)</td></tr><tr><td align="center" valign="middle" >Skin disease</td><td align="center" valign="middle" >6 (5.9)</td><td align="center" valign="middle" >3 (3.8)</td></tr></tbody></table></table-wrap><table-wrap id="table6" ><label><xref ref-type="table" rid="table6">Table 6</xref></label><caption><title> Showing health seeking behaviors in the study area</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Parameter</th><th align="center" valign="middle"  rowspan="2"  >Variables</th><th align="center" valign="middle" >Primary level</th><th align="center" valign="middle" >Secondary level</th></tr></thead><tr><td align="center" valign="middle"  colspan="2"  >Frequency (%)</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Health management</td><td align="center" valign="middle" >Drug shop</td><td align="center" valign="middle" >28 (71.8)</td><td align="center" valign="middle" >11 (28.2)</td></tr><tr><td align="center" valign="middle" >Clinic</td><td align="center" valign="middle" >2 (5.1)</td><td align="center" valign="middle" >37 (94.9)</td></tr><tr><td align="center" valign="middle" >Traditional healer</td><td align="center" valign="middle" >1 (2.6)</td><td align="center" valign="middle" >38 (97.4)</td></tr><tr><td align="center" valign="middle" >Health center</td><td align="center" valign="middle" >8 (20.5)</td><td align="center" valign="middle" >31 (79.5)</td></tr></tbody></table></table-wrap><table-wrap id="table7" ><label><xref ref-type="table" rid="table7">Table 7</xref></label><caption><title> Showing general community work participation by adults</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Parameter</th><th align="center" valign="middle"  rowspan="2"  >Variable</th><th align="center" valign="middle" >Yes</th><th align="center" valign="middle" >No</th></tr></thead><tr><td align="center" valign="middle"  colspan="2"  >Frequency (%)</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >General community work</td><td align="center" valign="middle" >Cleaning water source</td><td align="center" valign="middle" >22 (27.5)</td><td align="center" valign="middle" >58 (72.5)</td></tr><tr><td align="center" valign="middle" >Cleaning market</td><td align="center" valign="middle" >15 (18.8)</td><td align="center" valign="middle" >65 (81.2)</td></tr><tr><td align="center" valign="middle" >Clearing bushes</td><td align="center" valign="middle" >31 (38.9)</td><td align="center" valign="middle" >49 (61.2)</td></tr><tr><td align="center" valign="middle" >Clearing roads</td><td align="center" valign="middle" >12 (15)</td><td align="center" valign="middle" >68 (85)</td></tr></tbody></table></table-wrap><p>owned by men and women kept to the farming and household duties due to their gender. Recent changes in climate and loss of soil fertility were secondary factors to the decreased productivity of the farming enterprises (primary data). Participants of different education level were shown to exhibit different levels of household hygiene (P &lt; 0.001). This could probably be due to the fact that individuals who had the opportunity to gain a higher education were relatively more educated and appreciated the benefits of preventive approaches to disease, thus continously serving as module households in this community [<xref ref-type="bibr" rid="scirp.55364-ref7">7</xref>] .</p><p>The study also revealed that the major waste management approach in the homesteads were mulching for bio-degradable solid wastes like banana peeling, banana leaves and animal waste so as to keep the soil fertile for agriculture [<xref ref-type="bibr" rid="scirp.55364-ref18">18</xref>] . Burning of dry banana leaves from the plantations was the second most used method probably because it was considered to be less costly; however some homes were reluctant to practice it due to the accumulation of smoke which pollutes the environment and predisposes family members to respiratory infections [<xref ref-type="bibr" rid="scirp.55364-ref19">19</xref>] . Refuse pits were not common (79.5%) in the community households visited. This could probably be because community members believed they were time consuming and costly to dig. Waste water generated was mainly from washing of clothes, utensils and bathrooms, lack of soak pits from most homes was because of inadequate technical know-how, laziness and absence of sewage water recycling mechanisms in place. Most of the homes purified drinking water mainly by boiling water which was ideal however there were some cases of diarrhea registered whose cause may have be linked to poor hygiene [<xref ref-type="bibr" rid="scirp.55364-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.55364-ref9">9</xref>] . Assessment of household hygiene showed that most of the homesteads which had pit latrines, had a challenge of poor hygiene which would probably be due to the high illiteracy levels on appropriate methods f hygiene and waste management [<xref ref-type="bibr" rid="scirp.55364-ref20">20</xref>] . Majority of the homesteads had flies within the house, which indicated increased risk of infection to gastrointestinal disease. These were considered to be major vectors for disease transmission especially amongst children and mothers who are often at home [<xref ref-type="bibr" rid="scirp.55364-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.55364-ref13">13</xref>] . Most families practiced natural methods of family planning while a minority (&lt;30%) had attempted to adopt the usage of secular family planning approaches [<xref ref-type="bibr" rid="scirp.55364-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.55364-ref17">17</xref>] . We also discovered that women who were using commercial contraceptive methods were well known in the community probably as a result of the extension service delivery from neighboring medical facilities in the region especially from Kampala International University Teaching Hospital (KIU-TH). This approach would probably help reduce on the stigma and illiteracy on the available methods on birth control, thus working as a synergy for a couple of government and private organizational programmes [<xref ref-type="bibr" rid="scirp.55364-ref17">17</xref>] .</p><p>The major health challenges identified in this community were malaria, cough, cold and diarrhea and poor nutrition, and all these being most prevalent amongst infants and children. These findings are in agreement with previous studies that children are the greatest exposed population to disease in the management of community health [<xref ref-type="bibr" rid="scirp.55364-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.55364-ref2">2</xref>] . Further analysis showed there existed no significant differences (P = 0.213) in the community illnesses in both children and adults, thus efforts to control and manage infectious diseases such as malaria in rural communities should target persons of all age groups, despite of the fact that children have been identified as the vulnerable population [<xref ref-type="bibr" rid="scirp.55364-ref2">2</xref>] . The low coverable and poor hygienic status of the pit latrines was primarily due to the low level of education, thus extension service delivery in the rural communities to improve on community knowledge regarding waste management and disposal would help to increase on community awareness in this sector [<xref ref-type="bibr" rid="scirp.55364-ref12">12</xref>] .</p></sec><sec id="s5"><title>5. Conclusion and Recommendations</title><p>This study showed that the majority of homesteads continuously face primary health challenges that would otherwise be averted through increased sensitization and promotion of socio-economic activities to improve on individual livelihoods. This would ultimately help communities live healthier happy lives, with improved standards of living and realization of the millennial developmental goals (MDGs). Several stake holders in the health sector should work in partnership to serve and help the vulnerable communities in our societies.</p></sec><sec id="s6"><title>Acknowledgements</title><p>The authors would like to extend their appreciation to the support that was offered by the local government of Kyakagina Village and above all the community members who participated thus making this study a success. We also thank the local community participants who welcomed and allowed us to carry out this work in their homesteads, the local chairperson of the village, and above all, the community education coordination office of Kampala International University Western Campus, Bushenyi, Uganda that supported the study.</p></sec><sec id="s7"><title>Authors Contributions</title><p>S.P.E., designed the study, I.E., wrote the first draft of the manuscript and S.P.E coordinated all the fieldwork. K.I.K., and I.E., managed the literature searches and I.E., K.I.K., and E.T.A., managed data analyses of the study. The final version of this manuscript was reviewed and approved by all authors prior to submission.</p></sec><sec id="s8"><title>Ethical Considerations</title><p>Authors hereby declare the study was approved by the appropriate ethics committee and have therefore been performed in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki.</p></sec><sec id="s9"><title>Competing Interests</title><p>The authors declare there exist no competing interests.</p></sec><sec id="s10"><title>NOTES</title></sec></body><back><ref-list><title>References</title><ref id="scirp.55364-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">WHO/UNICEF (2004) WHO/UNICEF Joint Statement: Management of Pneumonia in Community Settings. World Health Organization, Geneva.</mixed-citation></ref><ref id="scirp.55364-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Bagonza, J., Kibira, S.P.S. and Rutebemberwa, E. 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