Eun-Ok Im1, Young Ko, Eunice Chee, Wonshik Chee. 1. 1School of Nursing, University of Pennsylvania, Philadelphia, PA 2College of Nursing, Gachon University, Incheon, Korea 3School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA.
Abstract
OBJECTIVE: The purpose of this study was to identify clusters of midlife women by sleep-related symptoms in multiethnic groups and to examine racial/ethnic differences in the clusters. METHODS: This secondary analysis was conducted on data from 1,054 midlife women who participated in two cross-sectional descriptive national Internet surveys. The instruments included questions on background characteristics, health, and menopause status, and the Sleep Index for Midlife Women. The data were analyzed using hierarchical clustering methods, χ2 test, analysis of variance, and multinomial logistic regression analyses. RESULTS: A four-cluster solution was adopted: cluster 1 (low total symptoms group), cluster 2 (moderate physical and psychosomatic symptoms group), cluster 3 (moderate psychological symptoms group), and cluster 4 (high total symptoms group). There were significant differences in education, employment status, family income, social support, country of birth, race/ethnicity, body mass index, perceived general health, diagnosed disease, access to health care, and menopause status among clusters (P < 0.05). In cluster 1 only, there were significant racial/ethnic differences in the total number of total severity scores for physical symptoms (P < 0.01). When racial/ethnic differences in individual symptoms in each cluster were determined, there were no consistent racial/ethnic differences. CONCLUSIONS: Researchers need to consider that racial/ethnic differences could be prominent in midlife women with low sleep-related symptoms.
OBJECTIVE: The purpose of this study was to identify clusters of midlife women by sleep-related symptoms in multiethnic groups and to examine racial/ethnic differences in the clusters. METHODS: This secondary analysis was conducted on data from 1,054 midlife women who participated in two cross-sectional descriptive national Internet surveys. The instruments included questions on background characteristics, health, and menopause status, and the Sleep Index for Midlife Women. The data were analyzed using hierarchical clustering methods, χ2 test, analysis of variance, and multinomial logistic regression analyses. RESULTS: A four-cluster solution was adopted: cluster 1 (low total symptoms group), cluster 2 (moderate physical and psychosomatic symptoms group), cluster 3 (moderate psychological symptoms group), and cluster 4 (high total symptoms group). There were significant differences in education, employment status, family income, social support, country of birth, race/ethnicity, body mass index, perceived general health, diagnosed disease, access to health care, and menopause status among clusters (P < 0.05). In cluster 1 only, there were significant racial/ethnic differences in the total number of total severity scores for physical symptoms (P < 0.01). When racial/ethnic differences in individual symptoms in each cluster were determined, there were no consistent racial/ethnic differences. CONCLUSIONS: Researchers need to consider that racial/ethnic differences could be prominent in midlife women with low sleep-related symptoms.
Authors: M Dodd; S Janson; N Facione; J Faucett; E S Froelicher; J Humphreys; K Lee; C Miaskowski; K Puntillo; S Rankin; D Taylor Journal: J Adv Nurs Date: 2001-03 Impact factor: 3.187
Authors: Shelley S Tworoger; Yutaka Yasui; Michael V Vitiello; Robert S Schwartz; Cornelia M Ulrich; Erin J Aiello; Melinda L Irwin; Deborah Bowen; John D Potter; Anne McTiernan Journal: Sleep Date: 2003-11-01 Impact factor: 5.849
Authors: Siobán D Harlow; Carrie Karvonen-Gutierrez; Michael R Elliott; Irina Bondarenko; Nancy E Avis; Joyce T Bromberger; Maria Mori Brooks; Janis M Miller; Barbara D Reed Journal: Womens Midlife Health Date: 2017-07-27
Authors: Zahra Abbaspoor; Amir Siahposh; Nahid Javadifar; Shahla Faal Siahkal; Zeynab Mohaghegh; Foruzan Sharifipour Journal: Int J Community Based Nurs Midwifery Date: 2022-04