Spatial and temporal epidemiology of suicides among Alaska Native people
| dc.contributor.author | Hull-Jilly, Deborah | |
| dc.date.accessioned | 2025-11-05T21:00:09Z | |
| dc.date.available | 2025-11-05T21:00:09Z | |
| dc.date.issued | 2025-08 | |
| dc.identifier.uri | http://hdl.handle.net/11122/16251 | |
| dc.description | Dissertation (Ph.D.) University of Alaska Fairbanks, 2025 | en_US |
| dc.description.abstract | Alaska has one of the highest suicide rates among Indigenous populations in the United States. This study used data from the Alaska Violent Death Reporting System (AKVDRS) and applied spatial, temporal, and space-time analyses to identify unusual concentrations—or clusters—of suicide among Alaska Native people. This research identified one low-risk rural cluster and ten high-risk spatial clusters: six in urban boroughs and census areas (BCAs) and four in rural BCAs. Space-time analysis revealed eight clusters, most lasting an average of five years, with one emerging during the final three years of the study period. The study identified notable differences in mental health and demographic characteristics among cluster members. Documented mental health issues were more likely among all female decedents. Exposure to the suicide of someone close, a history of suicidal thoughts, prior attempts, and leaving a note occurred more frequently among urban females . Rural female cluster members were more likely to disclose suicidal intent. Among males, urban cluster members had higher rates of diagnosed mental health conditions and prior treatment compared to rural males. Method of suicide also differed: hanging/strangulation/suffocation (H/S/S) was more common among cluster members, particularly urban males. Despite the concentration of behavioral health services in Alaska’s urban areas, suicide clusters occurred in both urban and rural regions, suggesting geographic access alone does not explain these patterns. These findings underscore the value of spatial and space-time methods in identifying risk and protective factors at the community level. The study proposes culturally informed, data-driven prevention strategies. Collaborations with Alaska Native tribal groups may help contextualize this study’s results. | en_US |
| dc.description.tableofcontents | Chapter 1: Introduction -- 1.1 Preface -- 1.2 Significance -- 1.3 Theory -- 1.4 Research goals -- 1.4.1 Research questions and hypotheses -- 1.4.2 Outcomes -- 1.4.3 Outline of study. Chapter 2: Review of literature -- 2.1 Introduction -- 2.2 Epidemiology of suicide -- 2.2.1 Global epidemiology -- 2.2.2 National epidemiology -- 2.2.3 Alaska epidemiology -- 2.3 Theoretical foundations for study -- 2.3.1 Ecological system theory and model -- 2.3.2 Socio-ecological model -- 2.3.3 Interpersonal theory of suicide -- 2.3.4 Cultural theory of suicide -- 2.4 Factors associated with high-risk -- 2.4.1 Individual vulnerability -- Sex and age -- Race and region -- Access to lethal means -- Adverse childhood experiences -- Mental health and substance use -- Mental health and psychiatric disorders -- Substance use and abuse -- Substance misuse among youth -- Unresolved grief -- Suicidal ideation and attempt -- Suicide clusters and contagion -- 2.4.2 Social suffering and inequities -- Trauma -- Historical trauma -- Generational trauma -- Income and employment disparities -- Socio-economic distress -- Migration -- 2.5 Factors associated with protection and resilience -- 2.5.1 Approaches to suicide prevention -- 2.5.2 Cultural connectedness -- 2.5.3 Resilience: traditional knowledge to leverage prevention -- 2.6 Assessment of suicide clusters among Alaska Native people -- 2.7 Detection and investigation of suicide clusters -- 2.8 Summary. Chapter 3: Methods --3.1 Introduction -- 3.2 Purpose -- 3.2.1 Research questions -- 3.3 Methodology -- 3.3.1 Data sources -- Alaska Violent Death Reporting System (AKVDRS) -- Alaska population data -- 3.3.2 Case inclusion -- 3.3.3 Validity -- 3.3.4 Variables -- 3.3.5 Analysis plan -- Smoothed standardized mortality rates -- Spatial cluster detection -- Descriptive analysis and regression modeling -- Temporal and spatial analysis -- 3.4 Human subjects -- 3.5 Confidentiality -- 3.6 Positionality statement -- 3.7 Conclusion. Chapter 4: Results -- 4.1 Introduction -- 4.2 Spatial clusters and temporal trends and patterns -- 4.2.1 Alaska NVDRS suicide data preparation to analysis -- 4.2.2 Spatial scan statistics -- 4.2.3 Temporal trends and patterns -- 4.3 Distribution and frequency of high-risk suicide clusters -- 4.3.1 Space-time analysis -- 4.4 Comparative analysis -- 4.4.1 Comparison of statewide suicides and high-risk clusters -- 4.4.2 Comparison of high-risk spatial cluster and non-cluster members -- 4.4.3 Comparison of high-risk urban and rural spatial clusters -- 4.4.4 Comparison of low-risk spatial cluster members and non-cluster members -- 4.5 Summary. Chapter 5: Discussion -- 5.1 Overview of the discussion chapter -- 5.2 Discussion on spatial, temporal, and space-time trend and patterns -- 5.3 Discussion on distribution and frequency of high-risk suicide clusters -- 5.4 Discussion on comparison between clusters and non-clusters to suicides in surrounding areas -- 5.4.1 Mental health -- 5.4.2 Methods and access to lethal means -- 5.5 Public health implications -- 5.6 Limitations -- 5.7 Summary. | en_US |
| dc.language.iso | en_US | en_US |
| dc.subject | Suicide | en_US |
| dc.subject | Alaska Natives | en_US |
| dc.subject | Suicidal behavior | en_US |
| dc.subject.other | Doctor of Philosophy in Interdisciplinary Studies | en_US |
| dc.title | Spatial and temporal epidemiology of suicides among Alaska Native people | en_US |
| dc.type | Dissertation | en_US |
| dc.type.degree | phd | en_US |
| dc.identifier.department | Counseling Department | en_US |
| dc.contributor.chair | Gifford, Valerie | |
| dc.contributor.committee | Ehrlander, Mary | |
| dc.contributor.committee | Amstislavski, Philippe | |
| dc.contributor.committee | Moore-Nall, Anita | |
| refterms.dateFOA | 2025-11-05T21:00:11Z |

