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Variables Influencing Help-Seeking I...
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Arch, Autumn Rose.
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Variables Influencing Help-Seeking Intentions for Early Symptoms of Alzheimer's Disease in an American Indian and Alaska Native Sample.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Variables Influencing Help-Seeking Intentions for Early Symptoms of Alzheimer's Disease in an American Indian and Alaska Native Sample./
作者:
Arch, Autumn Rose.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:
79 p.
附註:
Source: Dissertations Abstracts International, Volume: 82-07, Section: B.
Contained By:
Dissertations Abstracts International82-07B.
標題:
Clinical psychology. -
電子資源:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28094180
ISBN:
9798557063043
Variables Influencing Help-Seeking Intentions for Early Symptoms of Alzheimer's Disease in an American Indian and Alaska Native Sample.
Arch, Autumn Rose.
Variables Influencing Help-Seeking Intentions for Early Symptoms of Alzheimer's Disease in an American Indian and Alaska Native Sample.
- Ann Arbor : ProQuest Dissertations & Theses, 2020 - 79 p.
Source: Dissertations Abstracts International, Volume: 82-07, Section: B.
Thesis (Ph.D.)--The University of North Dakota, 2020.
This item must not be sold to any third party vendors.
Guided by the Sociocultural Health Belief Model (SHBM) of dementia care-seeking, this study aimed to evaluate the role of several factors, including health system barriers, cultural beliefs and knowledge of Alzheimer's disease, in predicting help-seeking intentions for early symptoms of Alzheimer's disease among American Indians/Alaska Natives (AI/ANs). Participant recruitment and study procedures took place online. Participants completed a series of online surveys designed to assessed predictor variables from the proposed model and help-seeking intentions from several care sources (i.e., informal, traditional, and biomedical). A total of 118 participants were included in the final sample. Three-step hierarchical regressions were conducted to evaluate the ability of the proposed model to predict help-seeking intentions for each type of care source. Results found the proposed model was significant in predicting help-seeking intentions for biomedical sources, but for predicting help-seeking intentions from informal or traditional sources. Alzheimer's disease factual knowledge was found to be a significant predictor in biomedical help-seeking intentions. Results from this study contributed to our knowledge of how Alzheimer's disease is understood by AI/ANs and may be useful for guiding future research and interventions related to timely recognition and care of Alzheimer's disease in AI/ANs communities.
ISBN: 9798557063043Subjects--Topical Terms:
524863
Clinical psychology.
Subjects--Index Terms:
Alzheimer's disease
Variables Influencing Help-Seeking Intentions for Early Symptoms of Alzheimer's Disease in an American Indian and Alaska Native Sample.
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Guided by the Sociocultural Health Belief Model (SHBM) of dementia care-seeking, this study aimed to evaluate the role of several factors, including health system barriers, cultural beliefs and knowledge of Alzheimer's disease, in predicting help-seeking intentions for early symptoms of Alzheimer's disease among American Indians/Alaska Natives (AI/ANs). Participant recruitment and study procedures took place online. Participants completed a series of online surveys designed to assessed predictor variables from the proposed model and help-seeking intentions from several care sources (i.e., informal, traditional, and biomedical). A total of 118 participants were included in the final sample. Three-step hierarchical regressions were conducted to evaluate the ability of the proposed model to predict help-seeking intentions for each type of care source. Results found the proposed model was significant in predicting help-seeking intentions for biomedical sources, but for predicting help-seeking intentions from informal or traditional sources. Alzheimer's disease factual knowledge was found to be a significant predictor in biomedical help-seeking intentions. Results from this study contributed to our knowledge of how Alzheimer's disease is understood by AI/ANs and may be useful for guiding future research and interventions related to timely recognition and care of Alzheimer's disease in AI/ANs communities.
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