Predicting Meditation Practices Among Individuals With Cardiovascular Diseases: A Logistic Regression Analysis

被引:0
|
作者
Lu, Junfei [1 ]
Ford, Cassandra D. [2 ]
Vaughans, Doris [3 ]
机构
[1] Univ Alabama, Dept Educ Studies Psychol Res Methodol & Counselin, Box 870231, Tuscaloosa, AL 35487 USA
[2] Univ Alabama, Capstone Coll Nursing, Tuscaloosa, AL USA
[3] Tuscaloosa Ctr Cognit Therapy, Tuscaloosa, AL USA
关键词
cardiovascular diseases; meditation; mindfulness; heart health;
D O I
10.1037/rep0000566
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
Purpose/Objective: Since the prevalence and cost of cardiovascular diseases (CVD) are high in the United States, research on affordable preventative and treatment approaches is needed. While meditation shows promise for heart-health promotion, there is little knowledge about its use among people with CVD and factors that may influence its usage. In response, the purposes of the current research are to (a) shed light on the proportion of people with CVD who practice meditation; and (b) reveal variables that predict the use of meditation among them. Research Method: A secondary data analysis was conducted using data from the 2017 National Health Interview Survey. A total of 4,197 data entries (respondents with CVD) were included for analysis, and both descriptive and logistic regression analysis results were reported. Results: Approximately 16% of respondents with CVD practiced meditation. Among them, many used spiritual (82.5%) meditation, followed by mindfulness (29.9%), and mantra (24.9%) meditation. Females (odds ratio [OR] = 1.69), those advised to increase physical activity (OR = 1.34), and email users (OR = 1.63) had higher odds; and those able to afford medication (OR = 0.70) or mental health care/counseling (OR = 0.46) had lower odds to use meditation compared to respective counterparts. Conclusions/Implications: There is a significant proportion of people with CVD who used meditation practices, especially spiritual meditations. However, more research is needed to reveal the determinants of meditation use among people with CVD to facilitate their heart-health-self-care.
引用
收藏
页码:104 / 109
页数:6
相关论文
共 50 条
  • [42] Comparative analysis of binary logistic regression to artificial neural networks in predicting precursor sequence cleavage
    Tegge, Allison
    Rodriguez-Zas, Sandra
    Sweedler, Jonathan V.
    Southey, Bruce
    2007 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE WORKSHOPS, PROCEEDINGS, 2007, : 101 - 108
  • [43] Multinomial Logistic Regression Analysis of Factors Influencing Food Safety, Hygiene Awareness and Practices Among Street Food Vendors In Kiambu County, Kenya
    Mwove, Johnson
    Imathiu, Samuel
    Orina, Irene
    Karanja, Paul
    CURRENT RESEARCH IN NUTRITION AND FOOD SCIENCE, 2020, 8 (03) : 988 - 1000
  • [44] Navigating personal recovery: multinomial logistic regression analysis of schizophrenia outcomes in community-dwelling individuals
    Thongsalab, Jutharat
    Yunibhand, Jintana
    Uthis, Penpaktr
    GENERAL PSYCHIATRY, 2024, 37 (02)
  • [45] Testing a Model of Research Intention Among UK Clinical Psychologists: A Logistic Regression Analysis
    Eke, Gemma
    Holttum, Sue
    Hayward, Mark
    JOURNAL OF CLINICAL PSYCHOLOGY, 2012, 68 (03) : 263 - 278
  • [46] The Lifestyle Profile of Individuals with Cardiovascular and Endocrine Diseases in Cyprus: A Hierarchical, Classification Analysis
    Kyprianidou, Maria
    Panagiotakos, Demosthenes
    Makris, Konstantinos C.
    Kambanaros, Maria
    Christophi, Costas A.
    Giannakou, Konstantinos
    NUTRIENTS, 2022, 14 (08)
  • [47] Assessment of knowledge, attitudes, and practices regarding cardiovascular diseases (CVDs) among older individuals of rural Bangladesh: findings from a face-to-face interview
    Siddique, Abu Bakkar
    Hosen, Md. Shohag
    Akter, Hasna
    Hossain, Syed Mujakkir
    Al Mamun, Md.
    FRONTIERS IN PUBLIC HEALTH, 2024, 12
  • [48] Assessing the Efficacy of CEA and CA19.9 in Predicting Ovarian Cancer: Based on Logistic Regression Analysis
    Liu, Jiayin
    2023 10TH INTERNATIONAL CONFERENCE ON BIOMEDICAL AND BIOINFORMATICS ENGINEERING, ICBBE 2023, 2023, : 107 - 111
  • [49] Risk Factors Predicting Infectious Lactational Mastitis: Decision Tree Approach versus Logistic Regression Analysis
    Leónides Fernández
    Pilar Mediano
    Ricardo García
    Juan M. Rodríguez
    María Marín
    Maternal and Child Health Journal, 2016, 20 : 1895 - 1903
  • [50] The multinomial logistic regression model for predicting the discharge status after liver transplantation: estimation and diagnostics analysis
    Hashimoto, E. M.
    Ortega, E. M. M.
    Cordeiro, G. M.
    Suzuki, A. K.
    Kattan, M. W.
    JOURNAL OF APPLIED STATISTICS, 2020, 47 (12) : 2159 - 2177