尼日利亚贡贝州亚马尔图·德巴地方政府地区儿童疾病和死亡率的社会人口和经济风险因素评估

Dakyes S.P., Rhoda M., S. I., Beatrice B.N., S. Y
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引用次数: 0

摘要

该研究评估了贡贝州亚马尔图/德巴地方政府地区的主要儿童疾病和儿童死亡率。它还分析了影响研究地区疾病和死亡率分布的复杂社会经济和文化因素。儿童疾病和死亡率数据是从2007年至2016年10年间德巴综合医院0-5岁儿童的医院就诊中收集的。对5%的记录进行了抽样。通过问卷调查、焦点小组讨论和深入访谈收集了受访者的人口、社会经济和文化因素数据,以解释对研究领域主要疾病和儿童死亡率的看法和态度。样本量是从研究区域内三分之一的家庭中确定的。采用系统抽样技术,从研究区11个区的21个居民点中选出100名受访者。使用描述性和推断统计学(回归分析、Pearson相关和ANOVA)对结果进行分析。结果表明,疟疾、腹泻和其他发烧是儿童的主要疾病;儿童死亡率的变化受父母的人口、社会经济和文化特征的影响。R值为0.860的回归分析表明变量之间的相关性非常高。它表明,70%的疾病可以由收入、宗教、职业和教育来解释或解释。回归分析系数表明,宗教和教育对“疾病”有显著的预测作用。结果进一步表明,“宗教”的贝塔(β)值为.862,t值为3.102,p值为.002,“教育”的贝塔值为.760,t值2.058,p值.040是显著的。同样,R值为0.536的死亡率回归分析表明,模型中的变量之间存在高度相关性。这表明,41.8%的死亡原因可以由收入、宗教、职业和教育来解释或解释。分析结果还表明,该地区的医疗设施没有得到有效的定位。该研究建议,应在研究领域制定旨在满足人口健康需求和增强经济权能的方案和政策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of the Socio-Demographic and Economic Risk Factors of Childhood Diseases and Mortality in Yamaltu Deba Local Government Area, Gombe State, Nigeria
The study Assessed major childhood diseases and child mortality in Yamaltu/Deba Local Government Area of Gombe State. It also analyzed the complex socio-economic and cultural factors that influence the distribution of diseases and mortality in the study area. Data on childhood diseases and mortality were collected from hospital visits of children aged 0-5 years at Deba General Hospital during the 10-year period from 2007-2016. Five percent of the records were sampled. Data on the demographic, socio-economic and cultural factors of respondents were collected with the aid of questionnaires, Focus Group Discussions (FGDs) and In-Depth Interviews (IDIs) to explain perceptions and attitudes regarding the major diseases and child mortality in the study area. The sample size was determined from one-third of the households in the study area. One hundred respondents were selected from 21 settlements in the 11 wards of the study area, using a systematic sampling technique. Descriptive and Inferential Statistics (regression analysis, Pearson’s correlation and ANOVA) were used in analyzing the results. The results show malaria, diarrhoea and other fevers as the major childhood diseases; with variation in childhood mortality as influenced by the demographic, socio-economic, and cultural characteristics of parents. The regression analysis with an R-value of 0.860 indicates a very high degree of correlation among the variables. It indicates that 70% of the diseases caused can be explained or accounted for by income, religion, occupation and education. The regression analyses Coefficients indicate that Religion and Education significantly predict “Disease”. The result further indicates that “Religion” which yielded a Beta (β) value of .862, t-value of 3.102, and a p-value of .002, and “Education” which yielded a Beta (β) value of .760, t-value of 2.058, and a p-value of .040 were significant. Similarly, regression analysis for mortality with an R-value of 0.536 indicates a high degree of correlation among the variables in the model. This shows that 41.8% of the mortality causes can be explained or accounted for by income, religion, occupation and education. The result of the analysis also shows that healthcare facilities in the area are not efficiently located. The study recommended that Programmes and policies aimed at addressing the health needs and economic empowerment of the population should be put in place in the study area.
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