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Factors Related to Weight-Bias among Counselors.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Factors Related to Weight-Bias among Counselors./
作者:
Christensen, Katie Nicole.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:
151 p.
附註:
Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
Contained By:
Dissertations Abstracts International83-02B.
標題:
Mental health. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28541740
ISBN:
9798534658101
Factors Related to Weight-Bias among Counselors.
Christensen, Katie Nicole.
Factors Related to Weight-Bias among Counselors.
- Ann Arbor : ProQuest Dissertations & Theses, 2021 - 151 p.
Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
Thesis (Ph.D.)--The University of North Carolina at Charlotte, 2021.
This item must not be sold to any third party vendors.
More than two-thirds of adults and one-sixth of children and adolescents in the United States experience higher levels of body fat and/or obesity (Hales et al., 2020). Individuals with higher levels of body fat often experience weight-bias, prejudice, and discrimination from various sources including mental health professionals in the fields of psychology, social work, and marriage and family therapy (Cravens, et al., 2016; Davis-Coelho, et al., 2000; Pratt, et al., 2015; Young & Powell, 1985). However, little is known about the presence of weight-bias within the counseling field. Literature shows that weight-bias can negatively impact physical and mental health (Friedman & Puhl, 2012; Himmelstein et al., 2017; Puhl et al., 2017). Counselors may be exhibiting weight-bias towards clients, thus causing harm (Feister, 2012). The counseling profession has committed to developing multiculturally competent counselors, yet body weight is not included in discussions of bias, prejudice, oppression, and power (Bergen & Mollen, 2019). This study used a correlational, non-experimental research design and a standard multiple regression to explore relationships between weight-bias and race, gender, weight-bias education, multicultural competence, and personal experiences with weight-bias among licensed counselors (N= 587). Results indicated there were statistically significant relationships between weight-bias and gender, weight-bias education, and multicultural competence. The group of predictor variables explained a significant portion of the variance in weight-bias among counselors (F(5,572)=10.101, p<.001, R2=.081, adjusted R2=.073), which accounted for 8.1% of the variance.
ISBN: 9798534658101Subjects--Topical Terms:
534751
Mental health.
Subjects--Index Terms:
Counseling
Factors Related to Weight-Bias among Counselors.
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More than two-thirds of adults and one-sixth of children and adolescents in the United States experience higher levels of body fat and/or obesity (Hales et al., 2020). Individuals with higher levels of body fat often experience weight-bias, prejudice, and discrimination from various sources including mental health professionals in the fields of psychology, social work, and marriage and family therapy (Cravens, et al., 2016; Davis-Coelho, et al., 2000; Pratt, et al., 2015; Young & Powell, 1985). However, little is known about the presence of weight-bias within the counseling field. Literature shows that weight-bias can negatively impact physical and mental health (Friedman & Puhl, 2012; Himmelstein et al., 2017; Puhl et al., 2017). Counselors may be exhibiting weight-bias towards clients, thus causing harm (Feister, 2012). The counseling profession has committed to developing multiculturally competent counselors, yet body weight is not included in discussions of bias, prejudice, oppression, and power (Bergen & Mollen, 2019). This study used a correlational, non-experimental research design and a standard multiple regression to explore relationships between weight-bias and race, gender, weight-bias education, multicultural competence, and personal experiences with weight-bias among licensed counselors (N= 587). Results indicated there were statistically significant relationships between weight-bias and gender, weight-bias education, and multicultural competence. The group of predictor variables explained a significant portion of the variance in weight-bias among counselors (F(5,572)=10.101, p<.001, R2=.081, adjusted R2=.073), which accounted for 8.1% of the variance.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28541740
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