東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ null ]

切換: 標籤 | MARC模式 | ISBD

Generation Z Predictors of Attitudes...

Onikoyi, Tina.

FindBook

Google Book

Amazon

博客來

Generation Z Predictors of Attitudes Towards Mental Health Services and Perceptions of Stress.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Generation Z Predictors of Attitudes Towards Mental Health Services and Perceptions of Stress./
作者:	Onikoyi, Tina.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2024,
面頁冊數:	92 p.
附註:	Source: Dissertations Abstracts International, Volume: 85-07, Section: B.
Contained By:	Dissertations Abstracts International85-07B.
標題:	Clinical psychology. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30990082
ISBN:	9798381445787

Generation Z Predictors of Attitudes Towards Mental Health Services and Perceptions of Stress.
Onikoyi, Tina.

Generation Z Predictors of Attitudes Towards Mental Health Services and Perceptions of Stress. - Ann Arbor : ProQuest Dissertations & Theses, 2024 - 92 p.

Source: Dissertations Abstracts International, Volume: 85-07, Section: B.

Thesis (Ph.D.)--Walden University, 2024.

This item must not be sold to any third party vendors.

Race and gender have been noted to be related to attitudes toward mental health services and perceptions of stress. Generation Z, or individuals born between 1997 and 2013, has unique characteristics and an ethnic makeup that may impact how they consider both mental health services and stress, and to date there has been no published research on this topic with individuals in this generation. The theoretical framework of the public health critical race praxis grounded this quantitative survey study to examine the predictive value of race and gender regarding attitudes towards mental health services and perceptions of stress in members of Generation Z. Secondary data from a nationwide survey were used to examine the state of stress across the country and its impact A total of 4,550 surveys were completed in the original research, and the current study included archived data from the 1,323 older members of Generation Z who participated in that initial research. Two multiple linear regressions were conducted, and the results indicated significant associations for the collective impact of race and gender in predicting both attitudes toward mental health services and perceptions of stress. Gender and race significantly predicted attitudes toward mental health services, while gender but not race significantly predicted perceptions of stress. It was noted that the way gender and race categories were listed should address the diversity of this population when collecting demographic information. The findings may help promote positive social change by offering data that can be used to effectively train mental health practitioners working with this population and help advocate for the development of sustainable systemic health care policies that meet the needs of Generation Z.

ISBN: 9798381445787Subjects--Topical Terms:

524863
Clinical psychology.
Subjects--Index Terms:

Health psychology

Generation Z Predictors of Attitudes Towards Mental Health Services and Perceptions of Stress.
LDR:02970nmm a2200385 4500 001 2396584
005 20240611104336.5
006 m o d
007 cr#unu||||||||
008 251215s2024 ||||||||||||||||| ||eng d
020 $a 9798381445787
035 $a (MiAaPQ)AAI30990082
035 $a AAI30990082
040 $a MiAaPQ $c MiAaPQ
100 1 $a Onikoyi, Tina. $3 3766281
245 1 0 $a Generation Z Predictors of Attitudes Towards Mental Health Services and Perceptions of Stress.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2024
300 $a 92 p.
500 $a Source: Dissertations Abstracts International, Volume: 85-07, Section: B.
500 $a Advisor: Scharff, Lisa.
502 $a Thesis (Ph.D.)--Walden University, 2024.
506 $a This item must not be sold to any third party vendors.
520 $a Race and gender have been noted to be related to attitudes toward mental health services and perceptions of stress. Generation Z, or individuals born between 1997 and 2013, has unique characteristics and an ethnic makeup that may impact how they consider both mental health services and stress, and to date there has been no published research on this topic with individuals in this generation. The theoretical framework of the public health critical race praxis grounded this quantitative survey study to examine the predictive value of race and gender regarding attitudes towards mental health services and perceptions of stress in members of Generation Z. Secondary data from a nationwide survey were used to examine the state of stress across the country and its impact A total of 4,550 surveys were completed in the original research, and the current study included archived data from the 1,323 older members of Generation Z who participated in that initial research. Two multiple linear regressions were conducted, and the results indicated significant associations for the collective impact of race and gender in predicting both attitudes toward mental health services and perceptions of stress. Gender and race significantly predicted attitudes toward mental health services, while gender but not race significantly predicted perceptions of stress. It was noted that the way gender and race categories were listed should address the diversity of this population when collecting demographic information. The findings may help promote positive social change by offering data that can be used to effectively train mental health practitioners working with this population and help advocate for the development of sustainable systemic health care policies that meet the needs of Generation Z.
590 $a School code: 0543.
650 4 $a Clinical psychology. $3 524863
650 4 $a Mental health. $3 534751
650 4 $a Counseling psychology. $3 924824
653 $a Health psychology
653 $a Gender
653 $a Perceptions
653 $a Stress
690 $a 0622
690 $a 0347
690 $a 0603
710 2 $a Walden University. $b Psychology. $3 1020184
773 0 $t Dissertations Abstracts International $g 85-07B.
790 $a 0543
791 $a Ph.D.
792 $a 2024
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30990082