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Journal of Evidence-based Integrative Medicine logoLink to Journal of Evidence-based Integrative Medicine
. 2021 Apr 8;26:2515690X211006332. doi: 10.1177/2515690X211006332

National Internet-Based Survey of the Use, Barriers, Reasons and Beliefs of Mind-Body Practices During the Early Months of the COVID-19 Pandemic

Tracy Hellem 1,, Sandra Benavides-Vaello 1, Ruth Taylor-Piliae 2
PMCID: PMC8040606  PMID: 33829877

Abstract

The purpose of this study was to learn about the use, barriers, reasons and beliefs regarding mind-body practices among adults living in the United States during the beginning months of the 2019 novel coronavirus disease (COVID-19) pandemic. An on-line survey was developed following the Checklist for Reporting Results of Internet e-Surveys (CHERRIES) guidelines and using the online survey software program, Qualtrics® XM, platform. Pilot testing of the survey was conducted for usability and functionality. The final 24-item survey was distributed via email and social media. A total of 338 adults responded to the survey, with 68.8% indicating that they participated in mind-body activities since the start of the pandemic. Physical activity was the most frequently (61.5%, n = 227) used mind-body practice. Further, 2 of the common barriers to engaging in mind-body practices were lack of motivation and wandering mind. Frequently listed reasons for using mind-body practices were to promote health, reduce stress and relaxation. Respondents believed that mind-body practices resulted in less stress. These findings may be applicable for reducing psychological stress related to the pandemic, as the pandemic continues to impact many areas of the United States.

Keywords: mind-body practices, stress, self-care, mind-body health

Introduction

The beginning months of the year 2020 have been repeatedly referred to as unprecedented times as individuals, families, communities, healthcare systems, businesses, governments and organizations were faced with responding to the threat of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) that causes the 2019 novel coronavirus disease (COVID-19). The first case of COVID-19 was reported in the United States of America (United States) on January 20, 2020 in the state of Washington,1 and on March 11, 2020, the World Health Organization2 labeled COVID-19 as a worldwide pandemic in response to the very high infection rate and rapid spread of the disease.3 By mid-March, directives were issued across the United States to close non-essential businesses and schools, and for individuals to shelter-in-place,4 causing considerable stress and significant disruptions to many aspects of life. With the social isolation and economic hardships related to the spread of COVID-19, as well as shelter-in-place orders, fear of COVID-19,5 coping with having COVID-19 and/or witnessing loved ones suffer from the disease6 rates of mental health suffering and psychosocial difficulties also began to rise.7,8 While stress and psychological concerns might be considered normal9 during an infectious disease outbreak, the long-term consequences may compound overall health and well-being.

The use of mind-body practices, such as meditation and Yoga, have been shown to improve mental health1014 and reduce stress1518 in a variety of populations and circumstances. Further, there is evidence that Yoga is useful following a natural disaster, with respect to coping with psychological stressors related to the disaster.19 Worth noting is that during times where physical health is threatened, engagement in mind-body practices has also resulted in improvements in physiological health, albeit, these improvements appear to depend on consistency in practice.20,21 To the best of our knowledge, there are no published reports on the use of mind-body practices during a pandemic.

Given the impact that the COVID-19 pandemic is having on psychosocial, mental and physical health, the aim of this study was to learn about the use of mind-body practices during the early months of the pandemic. Barriers to participating in mind-body practices, reasons for engaging in mind-body practices, and beliefs about mind-body practices were also assessed in this study. Evaluating these domains will serve as a guide for both clinical practice and future research while experiencing a pandemic.

Methods

Study Design

A cross-sectional, descriptive survey design was used. An Internet-based anonymous open survey was developed using Qualtrics® XM, an online survey software, to assess participation, barriers and beliefs regarding mind-body practices during the early months of the COVID-19 pandemic.

Ethical Approval

The institutional review board of a university in the northwestern United States approved this study (approval number TH042420-EX). Participants were informed that participation was voluntary, and that they could choose not to answer any survey items. Participants gave consent to taking part in the study by entering the survey. An informed consent statement that detailed this consent to participate was posted as an introduction and prior to entering the survey.

Participants and Recruitment

The target population for this study was adults impacted by the COVID-19 pandemic lockdown and shelter in place orders that occurred across the United States between April – June 2020. Study recruitment was conducted via email distribution and social media advertisements from the beginning of May to mid-June 2020, when states began to loosen shelter in place orders. Social media advertising consisted of: “How are you coping? Tell us in this brief survey on the use of mind-body practices during COVID-19.” No incentive was provided for survey completion.

Survey Development

Survey items specific to the utilization of and barriers to the use of mind-body practices during the initial months of the COVID-19 pandemic were predominantly drawn from questions used in a national survey22 of Yoga practitioners on practice patterns and perceptions of the influence of Yoga on health. Adaptive questioning was used in an attempt to reduce the number of questions, and thereby, reduce respondent fatigue.23 The survey was developed in the English language and followed the Checklist for Reporting Results of Internet e-Surveys (CHERRIES) guidelines.23

Pilot test

A target of n = 13 completed responses, recruited by email distribution, was used to pilot test the usability and functionality of the survey. The purpose of pilot testing was to evaluate comprehension of questions and response items, assess clarity of questions with incomplete responses, and to gauge the amount of time needed to complete the survey. Pilot test participants were encouraged to provide comments regarding survey items, including usability of the survey on both mobile and Web applications. Participant responses from the pilot sample were not included in analysis.

Questionnaire refinement

Using feedback from the participants who completed pilot testing of the survey, several questions were refined, and the order that questions appeared was revised. Further, Qualtrics formatting was adjusted to improve the user experience using a mobile device. The revised survey was examined by the research team to ensure readability and face validity prior to survey distribution. The final survey consisted of 24 questions.

Survey items

Demographic items consisted of age, gender identification, race/ethnicity, relationship status, level of education, employment status, current occupation, and geographic region. States were categorized into the regions Northwest, Midwest, South and West based on region characterization used in the National Health Interview Survey conducted by the National Center for Health Statistics.24 Physical activity prior to and during the COVID-19 pandemic, as well as current physical health and mental health were rated using Likert-type items. Individual survey items were used to assess mind-body practices since the start of the COVID-19 crisis (January 1, 2020) to the time of survey completion. Mind-body practices were defined as activities that are done to help the mind have a positive impact on the body.25 The survey items were a mix of yes/no questions, multiple choice, and 5-point Likert-type scale (1 = strongly disagree, 5 = strongly agree) options. These items included if mind-body practices were used (yes/no), and if no, respondents were asked to identify barriers to using mind-body practices. If a respondent selected “yes” to using mind-body practices, they were asked about: type of mind-body practices used (e.g., acupressure, acupuncture, art therapy, breathing techniques, color therapy, dance movement therapy, energy therapy, guided imagery, healing touch, hypnosis, massage therapy, meditation, movement therapy, music therapy, Pilates, prayer, Qigong, relaxation techniques, spinal manipulation, spiritual healing, Tai-chi, Yoga, form of physical activity and other), most frequently utilized mind-body practice, frequency of mind-body practices, length of mind-body practice engagement, changes in mind-body practices since the start of the pandemic, reasons for engaging in mind-body practices, barriers to utilizing mind-body practices, and beliefs regarding mind-body practices during the COVID-19 pandemic.

Analysis

Data were exported from Qualtrics® XM to the statistical package SPSS® by IBM® version 26. Data clean-up involved identifying miscoded data, missing data and outliers, as well as removing survey responses from respondents who reported living outside of the United States. Data were used from both completed and early terminated surveys for analysis. Descriptive statistics, including measures of central tendency, standard deviations, frequency counts and percentages were used to describe participant demographics, physical activity, as well as health characteristics. Frequency counts and percentages were used to describe type of mind-body practices used, most commonly utilized mind-body practice, consistency of mind-body practices, length of mind-body practice engagement, reasons for engaging in mind-body practices, barriers to utilizing mind-body practices, and beliefs regarding mind-body practices.

Chi-square tests of association were used to evaluate the association between region and if mind-body practices were used, general physical health and changes in mind-body practices since the start of the COVID-19 crisis, and general mental health, changes in mind-body practices since the start of the COVID-19 crisis and type of mind-body practice and barriers to engaging in mind-body activities. For the latter test of association, type of mind-body practice was categorized as practitioner or face-to-face mandatory and self-administered or easily available online. Some of the barriers were not included in the analysis due to lack of relevance (e.g., lack of transportation is not relevant as a barrier for self-administered or online mind-body practices). The assumptions of a chi-square test of association were examined for each individual test, and if the more than 20% of cells were less than 5 and the assumption was violated, variable categories were combined.26 This resulted in the region variable being categorized as “West versus other regions” and the general physical health and general mental health variables being categorized as “more than good,” “good,” and “less than good.” Furthermore, the barrier variables were recoded as “disagree, “neither disagree or agree” and “agree.” Statistical significance was set at 0.05, and all statistical tests were 2-sided.

Results

Demographics

A total of n = 341 participants started the survey, though 3 respondents were removed from the dataset for living outside of the United States, resulting in a sample size of n = 338, as both complete and incomplete survey data were analyzed. A total of n = 300 (88.0%) persons completed all survey items. Participant characteristics are displayed in Table 1. Participants predominantly identified as being female (89.9%, n = 304), white (92.1%, n = 311) and non-Hispanic (95.3%, n = 322). Twenty-nine percent (n = 99) reported working in the healthcare field, and 15.4% (n = 52) indicated that they were essential workers. There were more respondents from the West region of the United States (58.6%; n = 198) than any other region (South: n = 53; Midwest: n = 61; Northeast: n = 9).

Table 1.

Participant Characteristics.

Variable Mean (SD)
Age (n = 336) 49.7 (16.1) years
Gender identification (n = 334) Frequency (%)
 Male 29 (8.6)
 Female 304 (89.9)
Race (n = 335)
 White 311 (92.0)
 Black or African American 4 (1.2)
 American Indian or Alaska Native 1 (0.3)
 Asian 9 (2.7)
 Native Hawaiian or Pacific Islander 2 (0.6)
 Other 5 (1.5)
 More Than One Race 3 (0.9)
Ethnicity (n = 334) 
 Not Spanish, Hispanic, or Latino 322 (95.3)
 Spanish 4 (1.2)
 Hispanic 6 (1.8)
 Latino 2 (0.6)
Relationship status (n = 333)
 Single 39 (11.5)
 In a relationship not married 43 (12.7)
 Married 210 (62.1)
 Widowed 12 (3.6)
 Divorced 28 (8.3)
 Other 1 (0.3)
Education (n = 332)
 < high school degree 1 (0.3)
 High school graduate or GED 13 (3.8)
 Some college no degree 34 (10.1)
 Associate degree 25 (7.4)
 Bachelor’s degree 79 (23.4)
 Master’s degree 106 (31.4)
 Practice doctorate 14 (4.1)
 Doctoral degree 50 (14.8)
 Professional degree (JD, MD) 10 (3.0)
Employment status (n = 332)
 Employed full-time 163 (48.2)
 Employed part-time 50 (14.8)
 Unemployed and looking for work   5 (1.5)
 Unemployed and not looking for work 9 (2.7)
 Student 21 (6.2)
 Retired 55 (16.3)
 Homemaker 10 (3.0)
 Self-employed 13 (3.8)
 Unable to work, disabled 6 (1.8)
Unemployment due to COVID (n = 14)
 Yes 10 (3.0)
 No 4 (1.2)
Occupation (n = 332)
 Healthcare worker 99 (29.3)
 Essential worker 52 (15.4)
 None of these 181 (53.6)
Type of essential worker (n = 51)
 Food and agriculture  10 (3.0)
 Public works and infrastructure services 2 (0.6)
 Critical manufacturing 1 (0.3)
 Education 13 (3.8)
 Other 25 (7.4)
Region in America (n = 321)
 West 198 (58.6)
 South  53 (15.7)
 Midwest 61 (18.0)
 Northeast 9 (2.7)

Abbreviation: SD, Standard deviation.

Physical Activity and Health Variables

Physical activity prior to and during the early months of the COVID-19 pandemic, in addition to health variables are reported in Table 2. Over half of the sample (55.0%, n = 186) reported that their normal physical activity prior to the start of the pandemic was at a moderate level, whereas n = 57 (16.9%) reported their physical activity level as low and n = 80 (23.7%) reported their physical activity level as high. Current physical activity levels at the time of completing the survey were reported as low (36.1%, n = 122), moderate (40.8%, n = 138) and high (18.3%, n = 62). In general, the majority of respondents rated their physical health as either “good” or “very good” (73.0%, n = 247). Similarly, general mental health was primarily reported as “good” or “very good” (66.9%, n = 226).

Table 2.

Physical Activity and Health Variables.

Variable
Frequency (%)
Physical activity level prior to the COVID-19 pandemic (n = 323)
Low 57 (16.9)
Moderate 186 (55.0)
High 80 (23.7)
Physical activity level at the time of survey completion (n = 322)
 Low 122 (36.1)
 Moderate 138 (40.8)
 High 62 (18.3)
General physical health (n = 323)
 Poor 1 (0.3)
 Fair 30 (8.9)
 Good 114 (33.7)
 Very Good 133 (39.3)
 Excellent 45 (13.3)
General mental health (n = 321)
 Poor 4 (1.2)
 Fair 47 (13.9)
 Good 119 (35.2)
 Very Good 107 (31.7)
 Excellent 44 (13.0)

Participation in Mind-Body Practices

Mind-body participation and types of mind body-practices are reported in Table 3. The majority of respondents indicated that they participated in mind-body practices since the start of the COVID-19 crisis, n = 234 (68.8%). Physical activity was listed as the most utilized type of mind-body activity respondents engaged in, n = 227 (61.5%), with hiking/walking (39.1%, n = 132) being the most frequent activity. If participants engaged in more than one mind-body practice, they were asked to identify which practice they utilized most frequently. Results from this survey item indicate prayer (8.3%, n = 28) and walking/hiking (8.3%, n = 28) were used the most often.

Table 3.

Types of Mind-Body Practices Engaged in During the Early Months of the COVID-19 Pandemic.

Variable Frequency (%)
Participation in mind-body practice (n = 325)
 Yes 234 (68.6)
 No 61 (17.9)
 I don’t know 30 (8.8)
Type of mind-body practice
 Acupressure (n = 194)  9 (2.6)
 Acupuncture (n = 192) 9 (2.6)
 Art therapy (n = 198) 61 (17.9)
 Breathing techniques (n = 229) 176 (51.6)
 Color therapy (n = 197) 36 (10.6)
aDance movement therapy (n = 192) 17 (5.0)
 Energy therapy (n = 193) 12 (3.5)
 Guided imagery (n = 197) 50 (14.7)
 Healing touch (n = 190) 13 (3.8)
 Hypnosis (n = 191) 9 (2.6)
 Massage therapy (n = 196) 37 (10.9)
 Meditation (n = 221) 140 (41.1)
aMovement therapy (n = 188) 6 (1.8)
 Music therapy (n = 196) 47 (13.8)
 Pilates (n = 192)  28 (8.2)
 bPrayer (n = 206) 127 (37.2)
 Qigong (n = 186) 10 (2.9)
 Relaxation techniques (n = 213) 136 (39.9)
 Spinal manipulation (n = 186) 17 (5.0)
 Spiritual healing (n = 187)  27 (7.9)
 Tai-chi (n = 191) 17 (5.0)
 Yoga (n = 224)
Form of physical activity (n = 227) 227 (61.5)
cOULA (n = 208)  21 (6.2)
 Running (n = 208) 41 (12.1)
 bHiking/walking (n = 207) 132 (39.1)
 Biking (n = 208) 31 (9.2)
 Gardening/yard work (n = 207) 10 (3.0)
 Barre (n = 208) 4 (1.2)
 Strength training/high intensity interval training (n = 208) 24 (7.1)
 Stretching (n = 208) 5 (1.5)
 Video workout (n = 208) 7 (2.1)
Other (n = 174) 54 (16.0)

a With a certified therapist.

b Identified as most frequent practiced mind-body activity.

c OULA is a dance fitness program named after MissOULA, MT.

Table 4 displays mind-body practice characteristics with respect to frequency of participation, duration of mind-body activities, and changes in mind-body practices since the start of the COVID-19 pandemic. The most common reported frequency was 4-5 times per week (23.7%, n = 80) and the most frequent duration was up to 60 minutes of mind-body practice (25.4%, n = 86). The majority of the respondents (43.2%, n = 146) indicated that they increased mind-body practice engagement since the start of the pandemic.

Table 4.

Characteristics of Mind-Body Practice.

Variable Frequency (%)
Frequency of mind-body practices (n = 256)
 < 1 time per week 8 (2.4)
 1 time per week 6 (1.8)
 2-3 times per week 38 (11.2)
 4-5 times per week 80 (23.7)
 6-7 times per week 67 (19.8)
 8-9 times per week 19 (5.6)
 10+ times per week 38 (11.2)
Duration of mind-body practices (n = 252) 
 5 minutes or less 14 (4.1)
 Up to 10 minutes 16 (4.7)
 Up to 20 minutes 23 (6.8)
 Up to 30 minutes  32 (9.5)
 Up to 40 minutes 17 (5.0)
 Up to 50 minutes  19 (5.6)
 Up to 60 minutes  86 (25.4)
 60+ minutes 45 (13.3)
Changes in mind-body practices (n = 251)
 Increased since the pandemic started 146 (43.2)
 Decreased since the pandemic started 50 (14.8)
 No change 55 (16.3)

Barriers to Mind-Body Practices

Respondents who indicated that they did not engage in mind-body activities (i.e., non-mind-body practice users; 17.9%, n = 61), were asked about barriers to participating in such practices. The barriers that were identified as “strongly agree” or “agree” the most often were: 1) lack of motivation (11.1%, n = 38), 2) wandering of mind (9.2%, n = 31); and 3) irregularity in schedule (8.9%, n = 30). The barriers most commonly noted as “strongly agree” or “agree” for respondents who reported that they did engage in mind-body activities included: 1) wandering of mind (37.9%, n = 128); 2) lack of motivation (37.3%, n = 126); and 3) low mood (36.7%, n = 124). A complete list of barriers by mind-body use status are presented in Table 5 and 6.

Table 5.

Barriers for Non-Mind-Body Users.

Level of agreement
Strongly disagree frequency (%) Disagree frequency (%) Neither disagree or agree
frequency (%)
Agree
frequency (%)
Strongly agree
frequency (%)
Barrier
Irregularity in schedule (n = 50) 5 (1.5) 10 (3.0) 5 (1.5) 22 (6.5) 8 (2.4)
Laziness (n = 51) 2 (0.6) 6 (1.8) 14 (4.1) 19 (5.6) 10 (3.0)
Exhaustion (n = 51) 5 (1.5) 12 (3.6) 5 (1.5) 17 (5.0) 12 (3.6)
Family commitments or responsibilities (n = 50) 5 (1.5) 10 (3.0) 9 (2.7) 14 (4.1) 12 (3.6)
Work commitments or responsibilities (n = 50) 9 (2.7) 8 (2.4) 9 (2.7) 18 (5.3) 6 (1.8)
Student commitments or responsibilities (n = 49) 19 (5.6) 5 (1.5) 17 (5.0) 6 (1.8) 2 (0.6)
Wandering of mind (n = 50) 5 (1.5) 7 (2.1) 7 (2.1) 22 (6.5) 9 (2.7)
Inability to practice in a group setting (n = 50) 8 (2.4) 9 (2.7) 12 (3.6) 14 (4.1) 7 (2.1)
Lack of access to resources (n = 51) 10 (3.0) 12 (3.6) 14 (4.1) 12 (3.6) 3 (0.9)
Low mood (n = 50) 5 (1.5) 7 (2.1) 14 (4.1) 17 (5.0) 7 (2.1)
Anxious mood (n = 50) 8 (2.4) 9 (2.7) 9 (2.7) 16 (4.7) 8 (2.4)
Lack of motivation (n = 51) 3 (0.9) 4 (1.2) 6 (1.8) 22 (6.5) 16 (4.7)
Lack of transportation (n = 50) 22 (6.5) 14 (4.1) 10 (3.0) 2 (0.6) 2 (0.6)
Weather (rain, snow, extreme heat, etc.) (n = 50) 13 (3.8) 14 (4.1) 9 (2.7) 12 (3.6) 2 (0.6)
Lack of interest (n = 52) 3 (0.9) 8 (2.4) 14 (4.1) 21 (6.2) 6 (1.8)
Other (n = 13) 1 (0.3) 10 (3.0) 2 (0.6) 0 0

Table 6.

Barriers for Mind-Body Users.

Level of agreement
Strongly disagree
frequency (%)
Disagree
frequency (%)
Neither disagree or agree
frequency (%)
Agree
frequency (%)
Strongly agree
frequency (%)
Barrier
Irregularity in schedule (n = 237) 29 (8.6) 39 (11.5) 30 (8.9) 88 (26.0) 51 (15.1)
Laziness (n = 239) 24 (7.1) 47 (13.9) 50 (14.8) 97 (28.7) 21 (6.2)
Exhaustion (n = 233) 29 (8.6) 50 (14.8) 44 (13.0) 86 (25.4) 24 (7.1)
Family commitments or responsibilities (n = 234) 32 (9.5) 56 (16.6) 30 (8.9) 82 (24.3) 34 (10.1)
Work commitments or responsibilities (n = 234) 36 (10.7) 45 (13.3) 42 (12.4) 72 (21.3) 39 (11.5)
Student commitments or responsibilities (n = 231) 66 (19.5) 42 (12.4) 72 (21.3) 29 (8.6) 22 (6.5)
Wandering of mind (n = 238) 23 (6.8) 46 (13.6) 41 (12.1) 102 (30.2) 26 (7.7)
Inability to practice in a group setting ((n = 233) 50 (14.8) 56 (16.6) 49 (14.5) 54 (16.0) 24 (7.1)
Lack of access to resources (n = 233) 67 (19.8) 78 (23.1) 43 (12.7) 37 (10.9) 8 (2.4)
Low mood (n = 235) 25 (7.4) 44 (13.0) 42 (12.4) 97 (28.7) 27 (8.0)
Anxious mood (n = 232) 26 (7.7) 54 (16.0) 43 (12.7) 87 (25.7) 22 (6.5)
Lack of motivation (n = 238) 19 (5.6) 45 (13.3) 48 (14.2) 97 (28.7) 29 (8.6)
Lack of transportation (n = 229) 108 (32.0) 73 (21.6) 45 (13.3) 3 (0.9) 0 (0.0)
Weather (rain, snow, extreme heat, etc.) (n = 236) 72 (21.3) 57 (16.9) 50 (14.8) 48 (14.2) 9 (2.7)
Other (n = 46) 5 (1.5) 2 (0.6) 36 (10.7) 3 (0.9) 3 (0.9)

Reasons for Engaging in Mind-Body Practices

Reasons for engaging in mind-body practices are outlined in Table 7. The top 3 “agreed” or “strongly agreed” reasons included: to promote health (66%, n = 223), reduce stress (68.4%, n = 231), and relaxation (61.3%, n = 207).

Table 7.

Reasons for Engaging in Mind-body Practices.

Level of Agreement
Strongly Disagree
Frequency (%)
Disagree
Frequency (%)
Neither Disagree or Agree
Frequency (%)
Agree
Frequency (%)
Strongly Agree
Frequency (%)
Reason
Prevent illness (n = 239)
15 (4.4) 23 (6.8) 57 (16.9) 88 (26.0) 56 (16.6)
Treat illness (n = 232)
32 (9.5) 48 (14.2) 85 (25.1) 43 (12.7) 24 (7.1)
Promote health (n = 247)
5 (1.5) 4 (1.2) 15 (4.4) 94 (27.8) 129 (38.2)
Cope with low mood (n = 236)
2 (0.6) 10 (3.0) 22 (6.5) 96 (28.4) 106 (31.4)
Cope with anxious mood (n = 243)
5 (1.5) 11 (3.3) 26 (7.7) 83 (24.6) 118 (34.9)
Reduce stress (n = 248)
2 (0.6) 3 (0.9) 12 (3.6) 102 (30.2) 129 (38.2)
Relaxation (n = 243)
2 (0.6) 6 (1.8) 19 (5.6) 117 (34.6) 99 (29.3)
Fun (n = 245)
7 (2.1) 11 (3.3) 43 (12.7) 98 (29.0) 86 (25.4)
Exercise (n = 245)
7 (2.1) 11 (3.3) 20 (5.9) 79 (23.4) 128 (37.9)
Other (n = 57)
3 (0.9) 3 (0.9) 34 (10.1) 4 (1.2) 13 (3.8)

Beliefs About Mind-Body Practices

Table 8 contains a complete list of beliefs about mind-body practices. The 3 most common beliefs that were reported as “agree” or “strongly agree” consisted of feeling less stressed, n = 208 (61.5%), feeling happier, n = 205 (60.7%), and having a healthier mind, n = 199 (58.9%).

Table 8.

Beliefs About Mind-Body Practices.

Level of agreement
Strongly disagree
frequency (%)
Disagree
frequency (%)
Neither disagree or agree
frequency (%)
Agree
frequency (%)
Strongly agree
frequency (%)
Belief
Improved sleep (n = 239) 2 (0.6) 9 (2.7) 56 (16.6) 118 (34.9) 54 (16.0)
Improved energy level (n = 239) 0 6 (1.8) 48 (14.2) 125 (37.0) 60 (17.8)
Improved health (n = 236) 1 (0.3) 7 (2.1) 67 (19.8) 115 (34.0) 46 (13.6)
Improved diet (n = 236) 5 (1.5) 35 (10.4) 97 (28.7) 68 (20.1) 31 (9.2)
Healthier mind (n = 238) 0 3 (0.9) 36 (10.7) 129 (38.2) 70 (20.7)
Healthier weight (n = 235) 8 (2.4) 39 (11.5) 85 (25.1) 74 (21.9) 29 (8.6)
Consume less alcohol (n = 233) 17 (5.0) 42 (12.4) 113 (33.4) 33 (9.8) 28 (8.3)
Happier (n = 239) 0 4 (1.2) 30 (8.9) 132 (39.1) 73 (21.6)
Improved relationships (n = 236) 0 6 (1.8) 60 (17.8) 114 (33.7) 56 (16.6)
Less stressed (n = 237) 2 (0.6) 3 (0.9) 24 (7.1) 139 (41.1) 69 (20.4)
Other (n = 42) 1 (0.3) 0 31 (9.2) 5 (1.5) 5 (1.5)

Associations

A Pearson’s chi-square was carried out to examine if region and the use of mind-body practices were related. There was significant evidence of an association between living in the west versus other regions of the United States (χ2 2,319 = 6.555, p = .038, ϕc = .143). There was no evidence of a significant association between general physical health and changes in the use of mind-body practice (increase, decrease or no change), and similarly, there was no association found between general mental health and changes in the use of mind-body practices.

Missing Data

With respect to missing data, for demographic variables, less then 2% of the data were missing. Further, for physical activity and health variables, less then 5% of the data were missing. Finally, the survey item with 23 separate mind-body practices that included yes/no responses for each practice, and follow-up question that consisted of identifying which one of the 23 mind-body practices was utilized most often, the missing data rate averaged 40.8%. This was potentially due to confusion about how to respond to these survey items. The average missing data rate for the remaining clusters of questions were as follows: reasons for participating in mind-body practices, 13.3%; barriers to participating in mind-body practices, 16.5%, and beliefs about mind-body practices, 16.0%.

Discussion

To our knowledge, this survey is the first of its kind to evaluate participation, barriers, reasons and beliefs of mind-body practices during the early exponential growth months of the COVID-19 pandemic in the United States. This study identified that more respondents participated in mind-body practices than those who did not during the early months of the pandemic. Considering that evidence supports the use of mind-body practices for psychological benefits27,28 and the high rates of reported stress29,30 and anxiety31 related to the growing pandemic, these findings are not surprising. Indeed, reducing stress was indicated as one of the top 3 reasons for respondents in this study to engage in mind-body practices.

There are multiple lines of evidence that demonstrate that a relaxation response is induced by mind-body practices.3235 Psychological stress results in a torrent of physiological reactions that, over time, are associated with compromised physical and mental health outcomes.36 Both acute and chronic physiologic changes manifest as elevated heart rate, blood pressure, respiratory rate and oxygen consumption, as well as metabolic changes and higher levels of cortisol.37 Mind-body practices reverse or disrupt physiological responses to psychological stress,38,39 resulting in normalized physiologic function. Because research has shown that there are long-term mental health consequences affiliated with infectious disease outbreaks,40 it was encouraging to learn that respondents of the current study used mind-body practices to not only reduce stress, but to also promote health and as a form of relaxation during the initial months of the COVID-19 pandemic. These findings are similar to other studies that evaluated motivators for engaging in mind-body practices,4145 although the current study assessed motivators during the COVID-19 pandemic, whereas other studies did not focus on a specific time period. Providing support for the relaxation response of mind-body practices, respondents indicated that they believed that engaging in mind-body practices resulted in less stress, feeling happier and healthier mind.

Data relevant to barriers for participating in mind-body practices reaffirm the impact of the COVID-19 pandemic on psychological health. For both non-users and users of mind-body practices, wandering of mind and lack of motivation were commonly selected as challenges to engaging in mind-body practices. In several other studies that evaluate barriers to mind-body practices, cost and scheduling conflicts41,4547 are indicated as common barriers. Compounding stress related to economic hardship, fear of illness, and social isolation in the initial months of the pandemic, with the situation constantly evolving, caused uncertainty from a variety of perspectives. Furthermore, during shelter in place orders and self-isolation, individuals potentially spent more time on social media. While reputable organizations like the World Health Organization and Centers for Disease Control and Prevention utilize social media platforms to disseminate reliable information, misinformation is also widely spread on social media. Therefore, it is not surprising that participants in our sample reported wandering of mind as a frequent barrier to participating in mind-body practices, which may, in part, be explained by a surge in information (information overload) from multiple sources about COVID-19. Finally, a link between psychological stress and fatigue has been established,4850 potentially explaining why lack of motivation commonly prohibited respondents from taking part in mind-body activities.

In our sample, there were no significant associations found between general physical or mental health and change in frequency in mind-body practices. The majority of respondents indicated that the level of physical activity prior to the current pandemic was moderate or high. Similarly, participants predominately reported that both their general and mental health were “good” or “very good.” The evidence base for the relationships between physical activity, including mind-body focused physical activity,5154 and physical health51,5458 and mental health5254,59 are well established. Additionally, there is evidence of a bidirectional association between mental health and physical activity,6062 suggesting that mental health status may influence the ability or decision to participate in physical activity. The finding that our sample largely had an established physical activity regimen prior to the start of the pandemic, coupled with overall stable general physical and mental health, might explain the lack of a significant association between general physical or mental health and change in frequency in mind-body practices. However, it was encouraging to know that mind-body practices increased since the start of the COVID-19 crisis, but this finding does not appear to have an association with general health status.

Finally, type of mind-body practice (practitioner or face-to-face mandatory and self-administered or easily available online) was not associated with any of the barriers that were evaluated to participating in mind-body practices. The most frequent barriers reported were wandering of mind, lack of motivation, and low mood, and considering, on one hand, it seems logical that these barriers are not significantly associated with the type of mind-body practice. However, it was surprising to learn that, in our sample, barriers like inability to practice in a group setting were not associated with type of mind-body practice. While exercise and mind-body practices are not necessarily the same, evidence shows that exercise practiced with others is more beneficial with respect to mental health63,64 and health outcomes65 than exercising alone, and some individuals prefer to exercise in groups.66,67 Government shutdowns, though, played a significant role in the ability to practice mind-body activities in groups. It is inspirational that the majority of respondents of our survey reported continued use of mind-body practices during the beginning of the COVID-19 pandemic despite group activities being unavailable. This may suggest that individuals continue to utilize mind-body activities during times of uncertainty and stress.

Even though the findings from this research are interesting, there are important limitations to consider. In general, anonymous Internet-based surveys are subject to bias;23,68 notably, with respect to the Internet population being unrepresentative of the general population.68 Importantly, our sample characteristics may not be representative of the general population, although some of the characteristics (e.g., identifying with female gender, Caucasian and college educated) appear to be consistent with other national survey studies of mind-body practices.22,4143,69 However, our sample was primarily represented by respondents from the West region of the United States. It is not clear if the findings would be similar with equal distribution of respondents across all regions of the country. Additionally, there was a surprisingly moderate rate of missing data for 2 of the survey questions. Despite n = 13 individuals testing the survey prior to publishing it, the 2 survey questions that had higher amounts of missing data than the other survey items, may have been unclear. The consequence of missing data for these items is there might be an under representation of which mind-body practices were actually accessed during the timeframe of interest.

Another limitation relates to the language used in social media advertising. Because “mind-body practices” was used in the advertisements, individuals familiar with this nomenclature may have been drawn to the survey, resulting in an overrepresentation of individuals who used mind-body practices during the early months of the pandemic. It would be interesting to conduct a survey using a variety of advertising language to see if a more representative sample is recruited.

Conclusion

At the time of writing this manuscript, the COVID-19 pandemic in the United States continues to result in fear of illness, self-isolation and uncertainty about the future. Further, individuals and families are coping with the loss of loved ones related to COVID-19, in addition to increased workload for some jobs and professions. The findings from this research are a good reminder that during times of stress, mind-body practices can be accessed to help reduce psychological discomfort. As the COVID-19 pandemic continues and health providers navigate rising mental health concerns, recommending that patients engage in activities that are beneficial to both the mind and body has the potential to impact public health related to both physical and mental health.

Supplemental Material

Supplemental Material, sj-pdf-1-chp-10.1177_2515690X211006332 - National Internet-Based Survey of the Use, Barriers, Reasons and Beliefs of Mind-Body Practices During the Early Months of the COVID-19 Pandemic

Supplemental Material, sj-pdf-1-chp-10.1177_2515690X211006332 for National Internet-Based Survey of the Use, Barriers, Reasons and Beliefs of Mind-Body Practices During the Early Months of the COVID-19 Pandemic by Tracy Hellem, Sandra Benavides-Vaello and Ruth Taylor-Piliae in Journal of Evidence-Based Integrative Medicine

Acknowledgements

Support for some of this work was provided by the College of Nursing and Vice President for Research, Economic Development and Graduate Education at Montana State University via start-up funding awarded to Dr. Benavides-Vaello.

Footnotes

Author Contributions: Tracy Hellem, conceptualization, methodology, investigation, formal analysis, writing – original draft. Sandra Benavides-Vaello, methodology, investigation, writing – review and editing. Ruth Taylor-Piliae, methodology, investigation, writing – review and editing.

Disclaimers: The views expressed in the submitted article are the authors’ own work and not an official position of their affiliated institutions.

Funding: The authors received no financial support for the research, authorship, and/or publication of this article.

ORCID iD: Tracy Hellem, PhD, RN Inline graphic https://orcid.org/0000-0001-7892-4498

Ethical Approval: The institutional review board of a university in the northwestern United States approved this study (approval number TH042420-EX).

Supplemental Material: Supplemental material for this article is available online.

References

  • 1. Holshue ML, DeBolt C, Lindquist S, et al. First case of 2019 novel coronavirus in the United States. N Engl J Med. 2020;382(10):929–936. doi:10.1056/NEJMoa2001191 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. World Health Organization. Listings of WHO's response to COVID-19. 2020. June 29, 2020. Accessed September 3, 2020. https://www.who.int/news/item/29-06-2020-covidtimeline
  • 3. Baud D, Qi X, Nielsen-Saines K, Musso D, Pomar L, Favre G. Real estimates of mortality following COVID-19 infection. Lancet Infect Dis. 2020;20(7):773. doi:10.1016/s1473-3099(20)30195-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Badr HS, Du H, Marshall M, Dong E, Squire MM, Gardner LM. Association between mobility patterns and COVID-19 transmission in the USA: a mathematical modelling study. Lancet Infect Dis. 2020;20(11):1247–1254. doi:10.1016/s1473-3099(20)30553-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Sakib N, Bhuiyan A, Hossain S, et al. Psychometric validation of the Bangla fear of COVID-19 Scale: confirmatory factor analysis and Rasch analysis. Int J Ment Health Addict. 2020:1–12. doi:10.1007/s11469-020-00289-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Kwon CY, Kwak HY, Kim JW. Using mind-body modalities via telemedicine during the COVID-19 crisis: cases in the Republic of Korea. Int J Environ. 2020;17(12):4477. doi:10.3390/ijerph17124477 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Xiang YT, Yang Y, Li W, et al. Timely mental health care for the 2019 novel coronavirus outbreak is urgently needed. Lancet Psychiat. 2020;7(3):228–229. doi:10.1016/s2215-0366(20)30046-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Torales J, O’Higgins M, Castaldelli-Maia JM, Ventriglio A. The outbreak of COVID-19 coronavirus and its impact on global mental health. Int J Soc Psychiatry. 2020;66(4):317–320. doi:10.1177/0020764020915212 [DOI] [PubMed] [Google Scholar]
  • 9. McEwen BS. Physiology and neurobiology of stress and adaptation: central role of the brain. Physiol Rev. 2007;87(3):873–904. doi:10.1152/physrev.00041.2006 [DOI] [PubMed] [Google Scholar]
  • 10. Kwok JY, Choi KC, Chan HY. Effects of mind-body exercises on the physiological and psychosocial well-being of individuals with Parkinson’s disease: a systematic review and meta-analysis. Complement Ther Med. 2016;29:121–131. doi:10.1016/j.ctim.2016.09.016 [DOI] [PubMed] [Google Scholar]
  • 11. Zhang Y, Li C, Zou L, Liu X, Song W. The effects of mind-body exercise on cognitive performance in elderly: a systematic review and meta-analysis. Int. J. Environ. 2018;15(12):2791. doi:10.3390/ijerph15122791 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Yeh GY, Mu L, Davis RB, Wayne PM. Correlates of exercise self-efficacy in a randomized trial of mind-body exercise in patients with chronic heart failure. J Cardiopulm Rehabil Prev. 2016;36(3):186–194. doi:10.1097/hcr.0000000000000170 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Kim SH, Schneider SM, Kravitz L, Mermier C, Burge MR. Mind-body practices for posttraumatic stress disorder. J Investig Med. 2013;61(5):827–834. doi:10.2310/JIM.0b013e3182906862 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Cramer H, Lauche R, Langhorst J, Dobos G. Yoga for depression: a systematic review and meta-analysis. Depress Anxiety. 2013;30(11):1068–1083. doi:10.1002/da.22166 [DOI] [PubMed] [Google Scholar]
  • 15. Beddoe AE, Murphy SO. Does mindfulness decrease stress and foster empathy among nursing students? J Nurs Educ. 2004;43(7):305–312. [DOI] [PubMed] [Google Scholar]
  • 16. Koszycki D, Benger M, Shlik J, Bradwejn J. Randomized trial of a meditation-based stress reduction program and cognitive behavior therapy in generalized social anxiety disorder. Behav Res Ther. 2007;45(10):2518–2526. doi:10.1016/j.brat.2007.04.011 [DOI] [PubMed] [Google Scholar]
  • 17. Chiesa A, Serretti A. Mindfulness-based stress reduction for stress management in healthy people: a review and meta-analysis. J Altern Complement Med. 2009;15(5):593–600. doi:10.1089/acm.2008.0495 [DOI] [PubMed] [Google Scholar]
  • 18. Artemiou E, Gilbert GE, Callanan A, Marchi S, Bergfelt DR. Mind-body therapies: an intervention to reduce work-related stress in veterinary academia. Vet Rec. 17 2018;183(19):596. doi:10.1136/vr.104815 [DOI] [PubMed] [Google Scholar]
  • 19. Durrani S, Contreras J, Mallaiah S, Cohen L, Milbury K. The effects of yoga in helping cancer patients and caregivers manage the stress of a natural disaster: a brief report on hurricane Harvey. Integr Cancer Ther. 2019;18:1534735419866923. doi:10.1177/1534735419866923 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Fan Y, Tang YY, Ma Y, Posner MI. Mucosal immunity modulated by integrative meditation in a dose-dependent fashion. J Altern Complement Med. 2010;16(2):151–155. doi:10.1089/acm.2009.0234 [DOI] [PubMed] [Google Scholar]
  • 21. Fan Y, Tang YY, Posner MI. Cortisol level modulated by integrative meditation in a dose-dependent fashion. Stress and Health. 2014;30(1):65–70. doi:10.1002/smi.2497 [DOI] [PubMed] [Google Scholar]
  • 22. Ross A, Friedmann E, Bevans M, Thomas S. National survey of yoga practitioners: mental and physical health benefits. Complement Ther Med. 2013;21(4):313–323. doi:10.1016/j.ctim.2013.04.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Eysenbach G. Improving the quality of Web surveys: the Checklist for Reporting Results of Internet E-Surveys (CHERRIES). J Med Internet Res. 2004;6(3):e34. doi:10.2196/jmir.6.3.e34 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Sohn EK, Porch T, Hill S, Thorpe RJ, Jr. Geography, race/ethnicity, and physical activity among men in the United States. Am J Mens Health. 2017;11(4):1019–1027. doi:10.1177/1557988316689498 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. National Center for Complementary and Integrative Health. Mind-body practices. 2020. Accessed April 28, 2020. https://www.nccih.nih.gov/health/mind-and-body-practices
  • 26. Boulesteix AL. Maximally selected chi-square statistics and binary splits of nominal variables. Biom J. 2006;48(5):838–848. doi:10.1002/bimj.200510191 [DOI] [PubMed] [Google Scholar]
  • 27. Mama SK, Bhuiyan N, Bopp MJ, McNeill LH, Lengerich EJ, Smyth JM. A faith-based mind-body intervention to improve psychosocial well-being among rural adults. Transl Behav Med. 2020;10(3):546–554. doi:10.1093/tbm/ibz136 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Cramer H, Lauche R, Anheyer D, et al. Yoga for anxiety: a systematic review and meta-analysis of randomized controlled trials. Depress Anxiety. 2018;35(9):830–843. doi:10.1002/da.22762 [DOI] [PubMed] [Google Scholar]
  • 29. Park CL, Russell BS, Fendrich M, Finkelstein-Fox L, Hutchison M, Becker J. Americans’ COVID-19 stress, coping, and adherence to CDC Guidelines. J Gen Intern Med. 2020;35(8):2296–2303. doi:10.1007/s11606-020-05898-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30. Pahayahay A, Khalili-Mahani N. What media helps, what media hurts: a mixed methods survey study of coping with COVID-19 using the media repertoire framework and the appraisal theory of stress. J Med Internet Res. 2020;22(8):e20186. doi:10.2196/20186 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Choi EPH, Hui BPH, Wan EYF. Depression and anxiety in Hong Kong during COVID-19. Int. J. Environ. 2020;17(10):3740. doi:10.3390/ijerph17103740 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Peng CK, Henry IC, Mietus JE, et al. Heart rate dynamics during three forms of meditation. Int J Cardiol. 2004;95(1):19–27. doi:10.1016/j.ijcard.2003.02.006 [DOI] [PubMed] [Google Scholar]
  • 33. Brown RP, Gerbarg PL. Yoga breathing, meditation, and longevity. Ann N Y Acad Sci. 2009;1172:54–62. doi:10.1111/j.1749-6632.2009.04394.x [DOI] [PubMed] [Google Scholar]
  • 34. Sevinc G, Hölzel BK, Hashmi J, et al. Common and dissociable neural activity after mindfulness-based stress reduction and relaxation response programs. Psychosom Med. 2018;80(5):439–451. doi:10.1097/psy.0000000000000590 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. Bhasin MK, Dusek JA, Chang BH, et al. Relaxation response induces temporal transcriptome changes in energy metabolism, insulin secretion and inflammatory pathways. PloS One. 2013;8(5):e62817. doi:10.1371/journal.pone.0062817 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. Epel ES, Crosswell AD, Mayer SE, et al. More than a feeling: a unified view of stress measurement for population science. Front Neuroendocrinol. 2018;49:146–169. doi:10.1016/j.yfrne.2018.03.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Dusek JA, Benson H. Mind-body medicine: a model of the comparative clinical impact of the acute stress and relaxation responses. Minn Med. 2009;92(5):47–50. [PMC free article] [PubMed] [Google Scholar]
  • 38. Ross A, Thomas S. The health benefits of yoga and exercise: a review of comparison studies. J Altern Complement Med. 2010;16(1):3–12. doi:10.1089/acm.2009.0044 [DOI] [PubMed] [Google Scholar]
  • 39. Turakitwanakan W, Mekseepralard C, Busarakumtragul P. Effects of mindfulness meditation on serum cortisol of medical students. J Med Assoc Thai. 2013;96(Suppl 1):S90–S95. [PubMed] [Google Scholar]
  • 40. Shultz JM, Cooper JL, Baingana F, et al. The role of fear-related behaviors in the 2013-2016 West Africa ebola virus disease outbreak. Curr Psychiatry Rep. 2016;18(11):104. doi:10.1007/s11920-016-0741-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Brems C, Justice L, Sulenes K, et al. Improving access to yoga: barriers to and motivators for practice among health professions students. Adv Mind Body Med. 2015;29(3):6–13. [PubMed] [Google Scholar]
  • 42. Birdee GS, Legedza AT, Saper RB, Bertisch SM, Eisenberg DM, Phillips RS. Characteristics of yoga users: results of a national survey. J Gen Intern Med. 2008;23(10):1653–1658. doi:10.1007/s11606-008-0735-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43. Park CL, Quinker D, Dobos G, Cramer H. Motivations for adopting and maintaining a yoga practice: a national cross-sectional survey. J Altern Complement Med. 2019;25(10):1009–1014. doi:10.1089/acm.2019.0232 [DOI] [PubMed] [Google Scholar]
  • 44. Park CL, Riley KE, Bedesin E, Stewart VM. Why practice yoga? Practitioners’ motivations for adopting and maintaining yoga practice. J. Health. Psychol. 2016;21(6):887–896. doi:10.1177/1359105314541314 [DOI] [PubMed] [Google Scholar]
  • 45. Moscoso DI, Goese D, Van Hyfte GJ, et al. The impact of yoga in medically underserved populations: a mixed-methods study. Complement Ther Med. 2019;43:201–207. doi:10.1016/j.ctim.2019.02.005 [DOI] [PubMed] [Google Scholar]
  • 46. Quilty MT, Saper RB, Goldstein R, Khalsa SB. Yoga in the real world: perceptions, motivators, barriers, and patterns of use. Glob Adv Health Med. 2013;2(1):44–49. doi:10.7453/gahmj.2013.2.1.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47. Jones KO, Lopes S, Chen L, et al. Perceptions about mindfulness-based interventions among individuals recovering from opioid and alcohol use disorders: findings from focus groups. Complement Ther Med. 2019;46:131–135. doi:10.1016/j.ctim.2019.07.013 [DOI] [PubMed] [Google Scholar]
  • 48. Theorell-Haglöw J, Lindberg E, Janson C. What are the important risk factors for daytime sleepiness and fatigue in women? Sleep. 2006;29(6):751–757. doi:10.1093/sleep/29.6.751 [DOI] [PubMed] [Google Scholar]
  • 49. Hasler G, Buysse DJ, Gamma A, et al. Excessive daytime sleepiness in young adults: a 20-year prospective community study. J Clin Psychiatry. 2005;66(4):521–529. doi:10.4088/jcp.v66n0416 [DOI] [PubMed] [Google Scholar]
  • 50. Cho HJ, Bower JE, Kiefe CI, Seeman TE, Irwin MR. Early life stress and inflammatory mechanisms of fatigue in the coronary artery risk development in young adults (CARDIA) study. Brain Behav Immun. 2012;26(6):859–865. doi:10.1016/j.bbi.2012.04.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51. Sivaramakrishnan D, Fitzsimons C, Kelly P, et al. The effects of yoga compared to active and inactive controls on physical function and health related quality of life in older adults- systematic review and meta-analysis of randomised controlled trials. Int J Behav Nutr Phys Act. 2019;16(1):33. doi:10.1186/s12966-019-0789-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52. Wang YT, Li Z, Yang Y, et al. Effects of wheelchair Tai Chi on physical and mental health among elderly with disability. Res Sports Med. 2016;24(3):157–170. doi:10.1080/15438627.2016.1191487 [DOI] [PubMed] [Google Scholar]
  • 53. Hellem TL, Sung YH, Ferguson H, Hildreth L. The emotional dance with depression: a longitudinal investigation of OULA for depression in women. J Bodyw Mov Ther. 2019;24(4):413–422. [DOI] [PubMed] [Google Scholar]
  • 54. Taylor-Piliae RE, Finley BA. Tai Chi exercise for psychological well-being among adults with cardiovascular disease: a systematic review and meta-analysis. Eur J Cardiovasc Nurs. 2020:19(7):1474515120926068. doi:10.1177/1474515120926068 [DOI] [PubMed] [Google Scholar]
  • 55. Hunter JR, Gordon BA, Lythgo N, Bird SR, Benson AC. Exercise at an onsite facility with or without direct exercise supervision improves health-related physical fitness and exercise participation: an 8-week randomised controlled trial with 15-month follow-up. Health Promot J Austr. 2018;29(1):84–92. doi:10.1002/hpja.2 [DOI] [PubMed] [Google Scholar]
  • 56. Meshe OF, Claydon LS, Bungay H, Andrew S. The relationship between physical activity and health status in patients with chronic obstructive pulmonary disease following pulmonary rehabilitation. Disabil. Rehabil. 2017;39(8):746–756. doi:10.3109/09638288.2016.1161842 [DOI] [PubMed] [Google Scholar]
  • 57. Fong Yan A, Cobley S, Chan C, et al. The effectiveness of dance interventions on physical health outcomes compared to other forms of physical activity: a systematic review and meta-analysis. Sports Med. 2018;48(4):933–951. doi:10.1007/s40279-017-0853-5 [DOI] [PubMed] [Google Scholar]
  • 58. Thiel DM, Al Sayah F, Vallance JK, Johnson ST, Johnson JA. Association between physical activity and health-related quality of life in adults with type 2 diabetes. Can J Diabetes. 2017;41(1):58–63. doi:10.1016/j.jcjd.2016.07.004 [DOI] [PubMed] [Google Scholar]
  • 59. Stubbs B, Vancampfort D, Hallgren M, et al. EPA guidance on physical activity as a treatment for severe mental illness: a meta-review of the evidence and Position Statement from the European Psychiatric Association (EPA), supported by the International Organization of Physical Therapists in Mental Health (IOPTMH). Eur Psychiatry. 2018;54:124–144. doi:10.1016/j.eurpsy.2018.07.004 [DOI] [PubMed] [Google Scholar]
  • 60. Azevedo Da Silva M, Singh-Manoux A, Brunner EJ, et al. Bidirectional association between physical activity and symptoms of anxiety and depression: the Whitehall II study. Eur J Epidemiol. 2012;27(7):537–546. doi:10.1007/s10654-012-9692-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61. Harvey SB, Hotopf M, Overland S, Mykletun A. Physical activity and common mental disorders. Br J Psychiatry. 2010;197(5):357–364. doi:10.1192/bjp.bp.109.075176 [DOI] [PubMed] [Google Scholar]
  • 62. Ströhle A, Höfler M, Pfister H, et al. Physical activity and prevalence and incidence of mental disorders in adolescents and young adults. Psychol Med. 2007;37(11):1657–1666. doi:10.1017/s003329170700089x [DOI] [PubMed] [Google Scholar]
  • 63. Harada K, Masumoto K, Kondo N. Exercising along or exercising with others and mental health among middle-aged and older adults: longitudinal analysis of cross-lagged and simultaneous effects. J Phys Act Health. 2019;16(7):556–564. doi:10.1123/jpah.2018-0366 [DOI] [PubMed] [Google Scholar]
  • 64. Seino S, Kitamura A, Tomine Y, et al. Exercise arrangement is associated with physical and mental health in older adults. Med Sci Sports Exerc. 2019;51(6):1146–1153. doi:10.1249/MSS.0000000000001884 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65. Samra PK, Rebar AL, Parkinson L, et al. Physical activity attitudes, preferences, and experiences of regionally-based Australia adults aged 65 years and older. J Aging Phys Act. 2019;27(4):446–451. doi:10.1123/japa.2017-0426 [DOI] [PubMed] [Google Scholar]
  • 66. Chiang KC, Seman L, Belza B, et al. “It is our exercise family”: experiences of ethnic older adults in a group-based exercise program. Prev Chronic Dis. 2008;5(1):A05. [PMC free article] [PubMed] [Google Scholar]
  • 67. Kanamori S, Takamiya T, Inoue S, et al. Exercising along versus with others and associations with subjective health status in older Japanese: the JAGES cohort study. Sci Rep. 2016;6:39151. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68. Eysenbach G, Wyatt J. Using the Internet for surveys and health research. J Med Internet Res. 2002;4(2):E13. doi:10.2196/jmir.4.2.e13 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69. Ayala SG, Wallson K, Birdee G. Characteristics of yoga practice and predictors of practice frequency. Int J Yoga Therap. 2018;28(1):107–111. doi:10.17761/2018-00012r2 [DOI] [PubMed] [Google Scholar]

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Supplementary Materials

Supplemental Material, sj-pdf-1-chp-10.1177_2515690X211006332 - National Internet-Based Survey of the Use, Barriers, Reasons and Beliefs of Mind-Body Practices During the Early Months of the COVID-19 Pandemic

Supplemental Material, sj-pdf-1-chp-10.1177_2515690X211006332 for National Internet-Based Survey of the Use, Barriers, Reasons and Beliefs of Mind-Body Practices During the Early Months of the COVID-19 Pandemic by Tracy Hellem, Sandra Benavides-Vaello and Ruth Taylor-Piliae in Journal of Evidence-Based Integrative Medicine


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