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研究生:賴蒂
研究生(外文):Oluwafunmilade Adesanya
論文名稱:奈及利亞五歲以下兒童感染急性呼吸道症候群的個人與社會脈絡因子分析
論文名稱(外文):An Exploration of Contextual and Individual Factors associated with Symptoms of Acute Respiratory Infection among Children Under-Five in Nigeria
指導教授:喬芷喬芷引用關係
指導教授(外文):Chi Chiao
學位類別:博士
校院名稱:國立陽明大學
系所名稱:公共衛生研究所
學門:醫藥衛生學門
學類:公共衛生學類
論文種類:學術論文
論文出版年:2017
畢業學年度:105
語文別:英文
論文頁數:148
中文關鍵詞:Symptoms of acute respiratory infection (ARI)Lifestyle factorsMultilevel analysisYoung childrenNigeria
外文關鍵詞:Symptoms of acute respiratory infection (ARI)Lifestyle factorsMultilevel analysisYoung childrenNigeria
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Background: Nigeria has the second highest estimated number of deaths due to acute respiratory infection (ARI) among children under five in the world. A common hypothesis is that the inequitable distribution of socioeconomic resources shapes individual lifestyles and health behaviors, which leads to poorer health, including symptoms of ARI. In addition, burgeoning evidence suggests a synergetic interplay between distal determinants involving the political, social and economic contexts on health outcomes. Attestation to the close association between relative gradations in social standing and disparities in health is evident in Northern and Southern regions with differential exposures to symptoms of ARI over time. This dissertation firstly examines whether lifestyle factors are associated with ARI risk among Nigerian children aged less than 5 years, taking individual-level and contextual-level risk factors into consideration and secondly we examined trends and regional disparities in ARI symptoms from 2003 to 2013 among under-fives in relation to individual and community membership, with a specific focus on south-north differences.

Methods: Data were obtained from the nationally representative 2013 Nigeria Demographic and Health dataset from 2003, 2008 and 2013. A total of 58,954 surviving children aged 5 years or younger living in 896 communities were analyzed. We employed two-level multilevel logistic regressions to model the relationship between socioeconomic disparities, regional specific lifestyle factors, and household lifestyle factors and ARI symptoms.

Findings: First batch of the multivariate results from multilevel regressions using 2013 dataset indicated that the odds of having ARI symptoms were increased by a number of lifestyle factors such as in-house biomass cooking (OR = 2.30; p < 0.01) and no hand-washing (OR = 1.66; p < 0.001). An increased risk of ARI symptoms was also significantly associated with living in the North West region and the community with a high proportion of orphaned/vulnerable children (OR = 1.74; p < 0.001). Second batch of the multivariate results from multilevel regressions using 2003, 2008, 2013 dataset examined individual-level characteristics across regions of residence which showed differences in indicators over time between the Northern regions and the Southern regions. In the South southern regions, mothers were more educated over the years and wealth index improved over the years, in contrast, Northwestern region showed low education attainment amongst mothers and progressively diminishing wealth index.
Over the years, North western region showed an increasing high trend in proportion of worse community indicators such as biomass cooking fuel, wealth index and orphanhood yet contrast in the south southern region. Multivariate results from multilevel logistic regressions indicated a significant drop in ARI prevalence from 2003 to 2013 yet indicators of ARI risks differs between regions but trace an impressively linear socio-economic gradients with increased risk amongst low socioeconomic gradient as the North East (OR=3.08; p<0.01) and South-South region (OR=2.75; p<0.01) , in addition, vulnerable groups such as orphans children in the North East were less likely to have ARI symptoms as compared to orphans in residing in the South South region

Conclusion: Our findings firstly underscore the importance of Nigerian children’s lifestyle within the neighborhoods where they reside above their individual characteristics. Program-based strategies that are aimed at reducing ARI symptoms should consider policies that embrace making available basic housing standards, providing improved cooking stoves and enhancing healthy behaviors. Secondly, our findings showed that ARIs was significantly associated with region of residence, with higher risks of ARI symptoms for children resident in the North Western region and South South region after adjusting for individual- and community-level risk factors. The risk of ARIs was higher in the North West region after adjusting for year of survey and seasonal factor; these differences were increased and gained more significance once lifestyle factors and household level variables were added. In the Northern and southern regions, the two regions been compared in this study had the worse indicators. This may be associated with spatial inequality in social development in the community within regions, which may also be associated with population density, differential levels of regional development, political and religious situations, as well as varying economic resources. Our findings corroborate previous findings and longstanding historical concerns that the South South region of Nigeria, is been reported to have been marginalized with developmental resources, deficient of social infrastructures, high unemployment, social deprivation, and endemic conflict, in spite of the region accounting for more than 90% of Nigeria's proven gas and oil reserves and the nation's wealth
Background: Nigeria has the second highest estimated number of deaths due to acute respiratory infection (ARI) among children under five in the world. A common hypothesis is that the inequitable distribution of socioeconomic resources shapes individual lifestyles and health behaviors, which leads to poorer health, including symptoms of ARI. In addition, burgeoning evidence suggests a synergetic interplay between distal determinants involving the political, social and economic contexts on health outcomes. Attestation to the close association between relative gradations in social standing and disparities in health is evident in Northern and Southern regions with differential exposures to symptoms of ARI over time. This dissertation firstly examines whether lifestyle factors are associated with ARI risk among Nigerian children aged less than 5 years, taking individual-level and contextual-level risk factors into consideration and secondly we examined trends and regional disparities in ARI symptoms from 2003 to 2013 among under-fives in relation to individual and community membership, with a specific focus on south-north differences.

Methods: Data were obtained from the nationally representative 2013 Nigeria Demographic and Health dataset from 2003, 2008 and 2013. A total of 58,954 surviving children aged 5 years or younger living in 896 communities were analyzed. We employed two-level multilevel logistic regressions to model the relationship between socioeconomic disparities, regional specific lifestyle factors, and household lifestyle factors and ARI symptoms.

Findings: First batch of the multivariate results from multilevel regressions using 2013 dataset indicated that the odds of having ARI symptoms were increased by a number of lifestyle factors such as in-house biomass cooking (OR = 2.30; p < 0.01) and no hand-washing (OR = 1.66; p < 0.001). An increased risk of ARI symptoms was also significantly associated with living in the North West region and the community with a high proportion of orphaned/vulnerable children (OR = 1.74; p < 0.001). Second batch of the multivariate results from multilevel regressions using 2003, 2008, 2013 dataset examined individual-level characteristics across regions of residence which showed differences in indicators over time between the Northern regions and the Southern regions. In the South southern regions, mothers were more educated over the years and wealth index improved over the years, in contrast, Northwestern region showed low education attainment amongst mothers and progressively diminishing wealth index.
Over the years, North western region showed an increasing high trend in proportion of worse community indicators such as biomass cooking fuel, wealth index and orphanhood yet contrast in the south southern region. Multivariate results from multilevel logistic regressions indicated a significant drop in ARI prevalence from 2003 to 2013 yet indicators of ARI risks differs between regions but trace an impressively linear socio-economic gradients with increased risk amongst low socioeconomic gradient as the North East (OR=3.08; p<0.01) and South-South region (OR=2.75; p<0.01) , in addition, vulnerable groups such as orphans children in the North East were less likely to have ARI symptoms as compared to orphans in residing in the South South region

Conclusion: Our findings firstly underscore the importance of Nigerian children’s lifestyle within the neighborhoods where they reside above their individual characteristics. Program-based strategies that are aimed at reducing ARI symptoms should consider policies that embrace making available basic housing standards, providing improved cooking stoves and enhancing healthy behaviors. Secondly, our findings showed that ARIs was significantly associated with region of residence, with higher risks of ARI symptoms for children resident in the North Western region and South South region after adjusting for individual- and community-level risk factors. The risk of ARIs was higher in the North West region after adjusting for year of survey and seasonal factor; these differences were increased and gained more significance once lifestyle factors and household level variables were added. In the Northern and southern regions, the two regions been compared in this study had the worse indicators. This may be associated with spatial inequality in social development in the community within regions, which may also be associated with population density, differential levels of regional development, political and religious situations, as well as varying economic resources. Our findings corroborate previous findings and longstanding historical concerns that the South South region of Nigeria, is been reported to have been marginalized with developmental resources, deficient of social infrastructures, high unemployment, social deprivation, and endemic conflict, in spite of the region accounting for more than 90% of Nigeria's proven gas and oil reserves and the nation's wealth
TABLE OF CONTENTS
ACKNOWLEDGEMENTS I
TABLE OF CONTENTS II
LIST OF TABLES IV
LIST OF FIGURES V
ABSTRACT VI
CHAPTER I: INTRODUCTION 1
1.1: Clinical acute respiratory infection 2
1.1.1: Acute respiratory infection symptoms 4
1.1.2: Predictors of Acute Respiratory Symptoms 4
1.2: Proximate determinants 5
1.2.1: Proximate determinants of ARI symptoms 7
1.2.2: Biologic determinants of ARI symptoms 8
1.3: Contextual structure determining child health 10
1.3.1: Provincial level factors and child health outcomes 12
1.3.2:Community level factors and child health outcome 13
1.3.3: Household level factors and child health outcome 14
1.4: Dissertation conceptual framework 15
1.5: Conceptual framework: Elaboration model describing variable relationships 17
1.6: Objectives of Dissertation 19
1.7: Contribution of this Dissertation 20
CHAPTER 2: LITERATURE REVIEW 21
2.1: Study Area and Rationale for Selection (Nigeria, West Africa) 21
2.1.1 Nigerian and Regional Differences on Acute Respiratory Symptoms 22
2.2 Outcome and major explanatory measures 26
2.2.1 Acute respiratory infection symptoms (ARI) 26
2.2.2 Air Pollution 26
2.2.3 Lifestyle and health behaviors 29
CHAPTER 3: DATA AND METHODS 35
3.1 Description of Data and Sample Design 35
3.2 Sample size flow chart 37
3.3 Operationalization of major variables 38
3.3.1 Covariates (Multilevel variables) 39
3.5 Ethical considerations 45
CHAPTER 4: A MULTILEVEL ANALYSIS OF LIFESTYLE VARIATIONS IN SYMPTOMS OF ACUTE RESPIRATORY INFECTION AMONG YOUNG CHILDREN UNDER FIVE IN NIGERIA 46
4.1: Background 46
4.2: Methods 51
4.2: Results 56
4.4 Discussion 58
Table 4. 1: Hypothesized neighborhood socioeconomic influences, together with the distribution and categorization of neighborhood-level variables, which were used to predict the likelihood of development of ARI symptoms; 2013 NDHS (children 0-5, n=896) 64
Table 4. 2: ARI prevalence by sample characteristics for children under five years of age [percentage or mean (Std Dev)], NDHS 2013 65
Table 4.3: Results of multilevel regressions of the odds of ARI symptoms among young children, 2013 NDHS (N=28,596) 66
Figure 4. 1: Prevalence of acute respiratory tract infection (ARI) symptoms among individuals with the status of orphans and vulnerable children (OVC) by region 68
CHAPTER 5: REGIONAL DIFFERENCES IN SYMPTOMS OF ACUTE RESPIRATORY INFECTION AMONG YOUNG CHILDREN UNDER FIVE IN NIGERIA: A MULTILEVEL ANALYSIS 69
5.1: Background 69
5.2: Methods 75
5.3: Results 80
5.4: Discussion 83
CHAPTER 6: A TALE OF TWO REGIONS: TRENDS AND WEALTH DISPARITIES IN SYMPTOMS OF ACUTE RESPIRATORY INFECTIONS (ARI) AMONG PRE-SCHOOL CHILDREN IN SOUTH-SOUTH AND NORTH-WEST NIGERIA 90
6.1: Background 90
6.2 Methods 101
6.3: Results 106
6.4: Discussion 111
Table 6.1: Hypothesized ARI symptoms; 2003, 2008 and 2013 NDHS (children 0–5) neighborhood socioeconomic influences, together with the distribution and categorization of neighborhood-level variables, which were used to predict the likelihood of development of ARI symptoms 117
Table 6.2: Summary statistics for individual and community variables used in statistical analysis of ARI symptoms by regions , NDHS 2003-2013 [percentage], NDHS 2003-2013(N=58,954) 118
Table 6.3: Results of the multilevel regression of the odds of ARI symptoms among young children, 2003-2013 NDHS (N=58,455) 122
Figure 6.4: ARI symptoms prevalence within the six geopolitical regions between 2003 to 2013 128
CHAPTER 7: CONCLUSIONS 129
Limitations, Strengths and Public Health significance 132
Public Health significance 133
REFRENCES 134
APPENDIX 148

LIST OF TABLES
Table 4. 1: Hypothesized neighborhood socioeconomic influences, together with the distribution and categorization of neighborhood-level variables, which were used to predict the likelihood of development of ARI symptoms; 2013 NDHS (children 0-5, n=896)

Table 4. 2: ARI prevalence by sample characteristics for children under five years of age [percentage or mean (Std Dev)], NDHS 2013

Table 4.3: Results of multilevel regressions of the odds of ARI symptoms among young children, 2013 NDHS (N=28,596)

Table 5.1: Hypothesized province specific neighborhood socioeconomic influences, together with the distribution and categorization of neighborhood-level variables, which were used to predict the likelihood of development of ARI symptoms; 2013 NDHS (children 0-5, n=896)

Table 5.2: ARI prevalence by province showing sample characteristics for children under five years of age [percentage or mean (Std Dev)], NDHS 2013


Table 5.3: Results of the multilevel regression of the odds of ARI symptoms among young children, 2013 NDHS (N=28,596)

Table 6.1: Hypothesized ARI symptoms; 2003, 2008 and 2013 NDHS (children 0–5) neighborhood socioeconomic influences, together with the distribution and categorization of neighborhood-level variables, which were used to predict the likelihood of development of ARI symptoms

Table 6.2: Summary statistics for individual and community variables used in statistical analysis of ARI symptoms by regions, NDHS 2003-2013 [percentage], NDHS 2003-2013(N=58,954)

Table 6.3: Results of the multilevel regression of the odds of ARI symptoms among young children, 2003-2013 NDHS (N=58,455)


LIST OF FIGURES

Figure 1: Distinguishing upper and lower ARI by site of infection

Figure 2: Mechanisms through which contextual factors could influence child health

Figure 3: Conceptual framework of predicting ARI symptoms

Figure 4. 1: Prevalence of acute respiratory tract infection (ARI) symptoms among individuals with the status of orphans and vulnerable children (OVC) by region

Figure 5: Nigeria’s smoking prevalence rate; The Tobacco Atlas

Figure 6: Global Adult Tobacco Survey

Figure 6.4: ARI symptoms prevalence within the six geopolitical regions between 2003 to 2013
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