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. Author manuscript; available in PMC: 2010 Jun 1.
Published in final edited form as: J Psychosom Res. 2009 Mar 3;66(6):511–519. doi: 10.1016/j.jpsychores.2008.12.003

Alternative Mind-Body Therapies Used by Adults with Medical Conditions

Suzanne M Bertisch 1,2, Christina C Wee 2, Russell S Phillips 1,2, Ellen P McCarthy 2
PMCID: PMC2732427  NIHMSID: NIHMS120837  PMID: 19446710

Abstract

OBJECTIVE

Mind-body therapies (MBT) are used by 16.6% of adults in the United States. Little is known about the patterns of and reasons for use of MBT by adults with common medical conditions.

METHODS

We analyzed data on MBT use from the 2002 National Health Interview Survey Alternative Medicine Supplement (n=31,044). MBT included relaxation techniques (deep breathing exercises, guided imagery, meditation, and progressive muscle relaxation), yoga, tai chi, and qigong. To identify medical conditions associated with use of MBT overall and of individual MBT, we used multivariable models adjusted for sociodemographic factors, insurance status, and health habits. Among users of MBT (n=5,170), we assessed which medical conditions were most frequently treated with MBT, additional rationale for using MBT, and perceived helpfulness.

RESULTS

We found a positive association between MBT use and several medical conditions including various pain syndromes and anxiety/depression. Among adults using MBT to treat specific medical conditions, MBT was most commonly used for anxiety/depression and musculoskeletal pain syndromes. More than 50% of respondents used MBT in conjunction with conventional medical care, and 20% used MBT for conditions they thought conventional medicine would not help. Overall, we found high rates (68-90%) of perceived helpfulness of MBT for specific medical conditions.

DISCUSSION

MBT is commonly used by patients with prevalent medical conditions. Further research is needed to determine the reasons for widespread use of MBT for treatment of specific medical conditions and to evaluate the efficacy of MBT.

Keywords: anxiety, behavioral medicine, Complementary and Alternative Medicine 1, depression, meditation, Mind-Body Medicine

INTRODUCTION

The National Center for Complementary and Alternative Medicine characterizes mind-body medicine as a wide range of healing practices that share a common intention “to enhance the mind’s capacity to affect bodily function and symptoms.”1 While mind-body practices, such as cognitive behavioral therapy and group therapy, can comprise part of standard conventional care, the term mind-body medicine is often used more broadly in the medical literature to include alternative mind-body therapies (MBT) , such as meditation, yoga, and tai chi that have been used specifically for treatment of medical and psychological conditions. MBT remains one of the most commonly used domains of complementary and alternative medicine (CAM) in the United States, with nearly one in five adults using at least one form of MBT annually.2

Evidence suggests that when alternative mind-body therapies are part of a cognitive behavioral therapy (CBT) program that includes cognitive restructuring and behavioral modification, it is effective for treating insomnia,3, 4 arthritis,5, 6 and back pain.7 Further there is limited evidence that individual MBT, such as progressive muscle relaxation and yoga, may effectively treat insomnia8, 9 and low back pain.10 However the efficacy of MBT for many other chronic conditions is unknown. Despite the popularity of MBT for some medical conditions, little is known about the medical conditions for which adults are using MBT and their motivations for use. As evidence on the efficacy of MBT begins to emerge, understanding patterns of MBT use for treatment of specific conditions would help identify diseases with potential under use and barriers to use, as well as potential risks of MBT use by specific clinical populations. Furthermore, exploring MBT for conditions in which there is no proven efficacy may also help further our understanding the medical and psychosocial needs of patients with chronic medical conditions and guide future areas of research.

In this context, we examined the patterns of MBT use, which medical conditions were associated with MBT use, and for which conditions MBT was being used as a treatment by U.S. adults. In addition, we further explored the rationale for MBTuse and its perceived helpfulness in treating specific medical and psychological conditions.

METHODS

Data Source

The National Health Interview Survey (NHIS) is an in-person household survey of the civilian, non-institutionalized U.S. population. The Basic Module consists of three components: the Family Core, Sample Adult Core, and Sample Child Core. The Family Core collects information on sociodemographic characteristics, health status, insurance status, and health care access and utilization for each family member. Households are selected for face-to-face interveiws in English and/or Spanish using a multistage stratified sampling design.One adult, 18 years or older, was then randomly selected for the Sample Adult questionnaire, which elicited information about common medical conditions and health care utilization. In 2002, sample adults were also administered an Alternative Medicine Supplement, which queried respondents about the use of nineteen complementary and alternative therapies, including the use of nine individual mind-body therapies. Respondents were asked, “During the past 12 months, have you used (specific therapy)?” Respondents reporting use of a specific MBT within the previous 12 months were then asked: “Did you use (specific MBT) to treat a specific health problem or conditions”; “For what health problems and conditions did you use (specific MBT)”. In 2002, 31,044 adults participated in the Sample Adult component, representing a 74.3% response rate.11

Outcomes of Interest

We defined our primary outcome as use of at least one mind-body therapy within the past 12 months. Our definition included use of nine individual therapies (meditation, deep breathing exercises, progressive muscle relaxation, guided imagery, hypnosis, biofeedback, yoga, tai chi, or qigong), which have been classified as MBT by the National Center for Complementary and Alternative Medicine 1. We excluded prayer from our definition, a distinction common in epidemiological studies on patterns of CAM use. We compared adults who used MBT to those who did not use MBT within the past 12 months.

We also separately explored use of individual therapies that had at least 1% prevalence of use in this sample, which included: relaxation techniques, defined by NHIS as combined use of meditation, progressive muscle relaxation, deep breathing exercises or guided imagery; yoga; and tai chi.

Medical Conditions

We considered 25 of the 63 medical conditions available in the 2002 NHIS as potential correlates of MBT. We chose conditions that were either prevalent, have somatic components, were previously reported to be treated with MBT,12 of special research interest to NCCAM,13 or we believed were potentially being treated with MBT in the clinical setting.

Additional Outcomes

We also examined the following outcomes: 1) whether MBT was used to treat specific medical conditions; 2) perceived helpfulness of MBT in treating that particular condition (a great deal, some, only a little, not at all); and 3) respondents’ rating of the importance of MBT for maintaining health and well-being (very, somewhat, a little, not at all important). To understand why adults use MBT for specific conditions, we assessed reasons for MBT use including: conventional treatments would not help; conventional treatments were too expensive; conventional medical professional suggested it; thought it would be interesting to try; and combined with conventional medical therapies would be helpful.

Correlates of MBT Use

We considered factors previously found to be associated with MBT use or CAM to be potential confounders. These included sociodemographic factors, health habits, and health care access. We considered sociodemographic characteristics including age, sex, race, income, marital status, educational attainment, region of residence, and place of birth. As a measure of respondents’ health habits, we considered smoking status (current, former, never), alcohol intake, and physical activity level. Alcohol intake was categorized as abstainer (<12 drinks in lifetime), rare (<1 drink/month in past year), light (≤ 3 drinks/week), moderate (>3 and ≤ 7 drinks/ week for women, >3 and ≤ 14 drinks/week for men), or heavy (>7 drinks/week for women and >14 drinks/week for men) based on NHIS definitions; physical activity was categorized as vigorous (vigorous activity ≥2 times/week or moderate activity ≥4 times/week), moderate (vigorous activity 1 time/week or moderate activity 1-3 times/week), or sedentary (no vigorous or moderate activity/week) using validated methods described previously.14 We defined health care access using several proxies including insurance type (uninsured, Medicare, Medicaid, private-health maintenance organization, private fee for service); usual source of care (primary care provider, obstetrician-gynecologist, specialist, no provider but usual source of care, no usual source of care); and number of visits to health care providers per year (0, 1-2, 3-4, 5-7, ≥8). We also used indicators to assess illness burden including number of hospitalizations in the previous year (none, one, two or more) and mobility status (no impairment, minor, moderate, severe impairment).15

Statistical Analyses

We calculated the prevalence of MBT use overall, use of relaxation techniques, and use of nine individual MBT therapies. We used descriptive statistics to characterize our sample.

We then developed separate multivariable logistic regression models to elucidate the medical conditions associated with MBT use and the most commonly used MBT therapies. Conditions with a p-value of <0.15 on bivariable analyses were considered for inclusion in the multivariable models. To identify conditions independently associated with MBT use, we used stepwise backward elimination in models adjusted for sociodemographic factors, insurance status, and health habits. Only conditions with a Wald statistic p-value ≤ .05 were retained in the final models. We repeated this selection process for relaxation techniques, yoga, and tai chi to identify the medical conditions associated with each therapy.

Among users of MBT (n=5,170), we estimated the proportion using MBT to treat a specific medical condition, assessed which medical conditions were most frequently treated with MBT, the perceived helpfulness of MBT, and motivations for using MBT. We repeated these analyses for relaxation techniques and for combined use of yoga, tai chi, and qigong (YTQ). We collapsed categories as needed to ensure sample sizes sufficient for analysis (i.e., n ≥ 50).

All analyses were performed using SAS-callable SUDAAN version 9.0.1 (Research Triangle Park, NC) to account for the complex sampling design, and results were weighted to reflect national estimates.

Our study was reviewed by the Institutional Review Boards at our institutions and was considered exempt.

RESULTS

Sample Characteristics and Use of MBT

Overall 16.6% of U.S. adults, representing an estimated 34.1 million Americans, used at least one mind-body therapy in the past year. Table 1 lists the prevalence of use of MBT therapies in the United States. Relaxation techniques were commonly used. Among individual therapies, deep breathing exercises were most commonly used (11.4%), followed by meditation (7.5%), and yoga (5.0%). Use of hypnosis and biofeedback remains relatively uncommon among U.S. adults.

Table I.

Prevalence of Mind-body Therapy Use Among Adults in the United States*

Mind-body Therapy Sample Size
(n)
Estimated
Population
Population%
(Weighted)

MBT Use Overall 5170 34,065,029 16.6
Relaxation Techniques Overall 4426 29,220,490 14.2
 Deep Breathing Exercises 3552 23,456,633 11.4
 Meditation 2394 15,336,000 7.5
 Progressive Muscle Relaxation 925 6,185,000 3.0
 Guided Imagery 629 4,193,534 2.0
Physical Modalities
 Yoga 1593 10,386,456 5.0
 Tai Chi 403 2,564,584 1.2
 Qigong 84 526,546 0.7
Other
 Hypnosis 74 505,071 0.2
 Biofeedback 44 277,557 0.1
*

NHIS complex sampling scheme allows for weighted estimates of United States population

Combined use of deep breathing exercises, meditation, progressive muscle relaxation, and guided imagery

Table 2 presents characteristics of MBT users compared to the U.S. adult population. Overall, MBT users had higher prevalence of younger age, female sex, educational and income levels, and physical activity compared with the general population. Users of MBT also had higher prevalence of most medical conditions studied, except for hypertension, which had equal or lower prevalence among MBT users.

Table II.

Characteristics of Users of Mind-Body Therapies *

MBT Therapies

NHIS
sample
MBT users
overall
Relaxation
techniques
Yoga Tai Chi

Sample Size 31,044 5,170 4,426 1,593 403
Estimated population 205,825,095 34,065,029 29,220,490 10,386,456 2,564,584
size
Weighted % 17 14 5 1
Age (years)
 18-29 22 23 22 26 24
 30-39 20 21 20 27 19
 40-49 21 24 24 23 18
 50-64 21 23 25 20 24
 >65 16 9 9 4 15
Sex
 Female 52 64 63 76 56
Race
 NH White 73 77 76 81 71
 Hispanic 11 7 8 6 9
 NH Black 11 10 11 6 10
 Asian 4 4 4 5 7
Education§
 < H.S. Graduate 16 7 8 3 6
 H.S. Graduate 30 22 23 15 16
 Some College 28 34 34 31 35
 ≥College 24 37 35 50 44
 Graduate
Income
 <$20,000 18 15 16 11 17
 $20,000-$35,000 28 25 26 23 25
 $35,000-$65,000 22 23 23 22 19
 >$65,000 26 33 32 41 37
Region of Residence
 Northeast 19 19 19 23 24
 Midwest 24 26 28 24 23
 South 37 31 30 27 23
 West 19 24 24 26 29
Marital Status
 Married 58 54 54 55 47
 Single 20 21 20 24 26
 Widowed 6 4 4 2 4
 Divorced or
 Separated
10 14 15 12 15
Place of Birth
 United States
86 89 90 88 88
Insurance Type
 Uninsured 15 13 14 12 15
 Medicare 17 11 12 4 15
 Medicaid 5 4 4 3 4
 Private, HMOII 23 26 26 27 24
 Private, FFS 28 32 31 40 29
Smoking Status
 Never 54 52 50 59 57
 Former 22 25 25 24 24
 Current 22 23 24 17 19
Physical Activity#
 Sedentary 39 20 22 10 18
 Moderate 22 25 25 25 18
 Vigorous 38 54 53 65 63
Alcohol Intake**
 Abstainer 22 14 14 9 15
 Rare 27 29 31 21 29
 Light 28 36 35 44 38
 Moderate 14 16 15 18 14
 Heavy 5 6 5 7 4
Medical Conditions
Pain Syndromes (in
past 3 months)
 Face pain 5 10 11 10 10
 Neck pain 14 24 25 22 23
 Joint pain†† 25 34 37 27 30
 Severe headache 15 24 26 21 19
 Low back pain 26 36 38 31 35
 Dental pain †† 13 18 19 15 19
Psychiatric
(in past 12 months)
 Anxiety/
 Depression
16 24 26 20 20
 Insomnia 17 28 30 21 27
Other Conditions
(history of)
 Food or odor
 allergy‡‡
7 13 13 12 17
 Bowel disease 6 9 10 7 9
 Irregular
 heartbeat
9 13 14 8 13
 Thyroid disease 7 10 10 8 9
 Hypertension 24 23 24 13 19
 COPDa 6 7 7 4 5
*

All prevalence rates are reported as percentages and are weighted to reflect national estimates

NHIS complex sampling scheme allows for estimates of United States population

NH=Non-Hispanic

§

H.S.=High School

II

HMO=Health Maintenance Organization

FFS=Fee For Service

#

Physical activity levels: Vigorous= vigorous activity 2 times/wk or moderate activity 4 times/wk; moderate= vigorous activity 1 time/wk or moderate activity 1-3 times/wk, sedentary=no vigorous or moderate activity/week

**

Alcohol intake: abstainer (<12 drinks in lifetime), rare (<1 drink/month in past year), light (≤ 3 drinks/week), moderate (>3 and ≤ 7 drinks/ week for women, >3 and ≤ 14 drinks/week for men), or heavy (>7 drinks/week for women and >14 drinks/week for men)

††

Joint pain lasting at least 3 months

‡‡

Diagnosed within the past 12 months

a)

COPD= Chronic Obstructive Pulmonary Disease

Table 3 presents the adjusted odds ratios for the associations between specific medical conditions and use of MBT therapies overall and individually. Adults with facial pain, neck pain, anxiety/depression, and food or odor allergy were more likely to use MBT; we found similar associations for use of relaxation techniques. Yoga was most strongly associated with neck pain, while lower use of yoga was associated with hypertension and chronic obstructive pulmonary disease. Food or odor allergy was the strongest correlate of use of tai chi.

Table III.

Relationship Between Medical Conditions and Use of Mind-body Medical Therapies Among U.S. Adults Mind-Body Therapies

Medical Conditions
(Diagnostic time
frame)
Mind-Body
Therapies
Overall
Relaxation
Techniques
Yoga Tai Chi

Adjusted OR
(95% C.I.)*
Adjusted OR
(95% C.I.)*
Adjusted OR
(95% C.I.)*
Adjusted OR
(95% C.I.)*

Pain syndromes
(in past 3 months)
 Facial pain 1.46
(1.23, 1.73)
1.43
(1.20, 1.70)
1.52
(1.19, 1.93)
N/D
 Neck pain 1.45
(1.24, 1.55)
1.43
(1.27, 1.62)
1.76
(1.46, 2.11)
1.65
(1.21, 2.27)
 Joint pain 1.39
(1.26, 1.53)
1.37
(1.24, 1.52)
NS NS
 Severe headache 1.15 (
1.03, 1.28)
1.19
(1.06, 1.32)
NS NS
 Low back pain 1.18
(1.07, 1.29)
1.21
(1.09, 1.34)
NS NS
 Dental pain 1.14
(1.01, 1.28)
1.16
(1.03, 1.31)
NS NS

Psychiatric
(in past 12 months)
 Anxiety/Depression 1.44
(1.29, 1.62)
1.44
(1.28, 1.62)
1.43
(1.20, 1.71)
NS
 Insomnia 1.38
(1.24, 1.55)
1.41
(1.25, 1.59)
NS 1.64
(1.21, 2.23)

Other Conditions
(history of)
 Food or odor
 allergy
1.49
(1.30, 1.71)
1.52
(1.32, 1.75)
1.47
(1.20, 1.80)
2.11
(1.49, 2.97)
 Bowel disease 1.27
(1.10, 1.48)
1.25
(1.07, 1.47)
NS N/D
 Irregular heartbeat 1.23
(1.07, 1.41)
1.26
(1.09, 1.45)
NS N/D
 Thyroid disease NS 1.18
(1.02, 1.37)
NS N/D
 Hypertension NS NS .74
(.61, .89)
.71
(.52, .96)
 COPD NS NS .71
(.51, .99)
N/D
*

Adjusted for age, sex, race, income, educational level, region of residence, place of birth, insurance status, marital status, insurance status, smoking status, physical activity level, and alcohol consumption

N/D =sample size was not sufficient for analysis (n<50)

Diagnosed within the past 12 months

COPD=Chronic Obstructive Pulmonary Disease

Mind-Body Therapies for Treatment of Medical Conditions and for Well-Being

Overall 30% of MBT users reported using MBT to treat a specific condition. Specifically, 32% of relaxation techniques users and 17% of yoga, tai chi and qigong users combined (YTQ) used their respective therapy to treat a specific condition. Table 4 presents the most common conditions treated with MBT. These conditions included anxiety/depression, back pain, and several other pain syndromes (Table 4, column 2). Anxiety/depression was the condition most commonly treated with relaxation techniques, with 26% of the relaxation techniques subgroup using specifically for this condition. Low back pain was the condition most commonly treated with YTQ, with 34% of YTQ users reporting using YTQ for this purpose. Furthermore, 68-90% of respondents who used MBT to treat a specific condition perceived MBT as helping “a great deal” or “some” with their condition. The reported degree of helpfulness was similar for all subgroups of relaxation techniques and YTQ users. In addition, 35% of MBT users rated MBT as very important in maintaining their health and well-being and 33% rated their use as somewhat important.

Table IV.

Use of Mind-body Therapies for Treatment of Common Medical Conditions

Condition Treated Prevalence of
medical
conditions among
sample adults
(n=31,044),
n (weighted%)
Adults who use
MBT to treat
specified
condition,
n (population
estimate)
Among adults who
use MBT to treat a
specific condition,
the proportion who
report that MBM
helped their condition
to a “great deal” or
“some” degree,
weighted %
Pain syndromes
(in past 3 months)
 Neck pain 4397 (14) 84 (443,471) 76
 Joint pain* 7909 (25) 89 (509,281) 75
 Severe headache 4744 (15) 94 (603,629) 80
 Back pain 8256 (26) 222 (1,447,928) 83
 Arthritis 6829 (21) 109 (716,744) 82
 Recurring pain 5656 (18) 84 (492,942) 80
Psychiatric
(in past 12 months)
 Anxiety/Depression 5357 (16) 376 (2,178,115) 68
 Insomnia 5712 (17) 97 (614,731) 79
Other Conditions
 Asthma 3327 (11) 80 (529,937) 90
 Hypertension 8055 (24) 49 (303,529) 87
*

Joint pain lasting > 3 months

Estimates are based on sample size < 50 and should be interpreted with caution

Rationale for MBM Use

We found that among respondents using MBT to treat a specific condition, more than 30% reported that a conventional medical professional recommended it, and 20% believed conventional therapy would not help (Figure 1). Patterns were similar for relaxation techniques and YTQ users for most motivations for use.

Figure 1.

Figure 1

Reported rationale for using Mind-Body Therapies among those who used to treat a specific medical condition

DISCUSSION

We found that U.S. adults with various pain syndromes, anxiety/depression, and insomnia were more likely to use alternative mind-body therapies compared to adults without these conditions. Among adults using MBT to treat specific medical conditions, MBT was most commonly used to treat anxiety/depression and musculoskeletal pain syndromes. More than 50% of these respondents reported MBT use in conjunction with conventional medical care, 30% used MBT because a conventional medical professional recommended it, and 20% used because they thought conventional medicine would not help. Overall, we found high rates (68-90%) of perceived helpfulness of MBT in treating specific medical conditions.

Our results are consistent with previous research of MBT use in nationally representative samples, with similar rates of use of MBT overall (18.9%), meditation (7.0%), and yoga (3.7%);2, 12 however, we found different prevalences of use for other individual MBT therapies.2, 12 Our results suggest that the rate of use of relaxation techniques of 14.2% is substantially higher than the 5.0% previously reported from the 1999 NHIS.2, 16 Additionally, we found much lower use of MBT for treatment of specific medical conditions compared to previously published data.12 For example, Wolsko et. al. estimated 11.2 million adults had used MBT for treatment of back pain,12 yet we found that fewer than 1.5 million adults with back pain used MBT for this condition. These differences may reflect the change in patterns of use over time, but may also reflect different survey instruments.

Despite the popularity of MBT use, research on its therapeutic benefits is in its infancy. While studies examining the benefit of MBT for treatment of specific medical conditions have increased in number, methodological issues, such as small sample sizes and inadequate control groups17 have limited the interpretation and generalizability of the data. For example, a recent Cochrane review evaluating the literature on meditation for anxiety concluded that “the small number of studies [of high enough quality to be] included in this review do not permit any conclusions to be drawn on the effectiveness of meditation therapy for anxiety disorders” and “more trials are needed.”18 Thus available data on the efficacy of MBT are suggestive at best, and no firm conclusions can be drawn at this time, thereby limiting recommendations for widespread adoption and use for treatment of specific conditions.

One example of how these methodological issues curb our ability to routinely recommend MBT can be found in the literature examining Mindfulness Based Stress Reduction (MBSR) for treatment of anxiety and depression. MBSR is a formal program that cultivates mindfulness, defined as non-judgmental moment-to-moment awareness, through meditation, body scan (sequential attention to parts of the body while supine), and mindful movement (body awareness during yoga postures).19 Though results from recent clinical studies have been promising,20-23 most studies have used a wait-list or treatment as usual control group, which makes it difficult to distinguish the true effects of MBSR from group effects or placebo responses. A recent review of MBSR for anxiety and mood symptoms in clinical populations24 reported a statistically significant reduction in anxiety or depression after MBSR in eight of fifteen clinical studies reviewed.20, 21, 25-31However, none of the positive studies had an active control.24 By utilizing control groups that are commensurate with MBSR in subject contact time and attention, as well as in physical activity level, we could better discern the specific effects of mindfulness training. Furthermore, using objective measures of mindfulness would provide support that changes in outcomes are in fact mediated by cognitive shifts. Moreover, the totality of data on meditative techniques for the treatment of anxiety and depression have limited applicability in clinical populations, as several studies evaluated healthy populations, focused on situational anxiety (such as music performance), and lacked clear standardized diagnostic criteria for anxiety and/or depression.18, 24

Despite the limitations of the current literature, we found that more than two-thirds of adults who use MBT to a specific condition found MBT helpful. Reasons for the perceived beneficial effects of MBT for these conditions are unclear, and may include physiological and psychological effects, or even placebo responses32It should be noted high rates of perceived helpfulness do not signify medical efficacy. Given the high prevalence of MBT use and the suggestive preliminary data, definitive randomized controlled trials, which are sufficiently large and of high quality, are needed to examine both the potential therapeutic benefits and mechanisms , as well as the potential side effects and risks of individual MBT therapies.

One surprising finding was that 30% of adults using MBT to treat a condition reported a conventional provider recommended it, even though there is not clear evidence to support its use. Limited research suggests that the factors influencing physicians’ recommendations of CAM include lack of response to conventional therapies, patient preferences, physician knowledge of and belief in the efficacy of CAM, and few adverse events with CAM.33, 34 Researchers have theorized that trends in physicians’ attitudes and beliefs toward CAM are likely to vary regionally,34 by provider environmental influences, and by cultural norms.35 As data on MBT become available, it will be important to understand how physicians’ knowledge, attitudes, and beliefs of MBT affect decision-making processes, as they may serve as important advocates for or as potential barriers to the adoption of evidence-based integrative care.

With nearly 20% of U.S. adults using MBT, little is known about which additional factors are driving the high rates of use of these “alternative” therapies, as the vast majority are not using MBT to treat a specific condition. Astin et al. found that adults used CAM “largely because they find these health care alternatives to be more congruent with their own values, beliefs, and philosophical orientations toward health and life”.36 However the reasons for CAM use, including MBT, remain poorly understood. We found among respondents using MBT for treatment of a specific medical condition that more than 50% used MBT because they thought that it was interesting to try; 50% also thought that MBT use combined with conventional therapy would be beneficial. Identification of additional factors influencing use of MBT would further our understanding of patient needs and expectations, and expand our current biopsychosocial model of health care.

Furthermore, given the common use of MBT, it would be important to note potential adverse effects of MBT practice, particularly in patients with medical and psychological conditions. For instance, the association between yoga and several musculoskeletal conditions may be indicative of injuries induced by yoga.37 In addition, with 20% of MBT users reporting they use MBT since they believed conventional medicine would not help, we may speculate that a segment of the clinical population may be using MBT alternatively, rather than complementary to conventional medicine. This theoretically may limit access to appropriate conventional care. Further research on MBT for treatment of chronic conditions would also provide important data on the risks of MBT use in specific clinical populations.

Limitations

Our study has limitations. The self-reporting nature of the NHIS may lead to misclassification and recall bias. Furthermore, MBT is difficult to define, particularly given the overlap with behavioral therapy and spirituality, and therefore we may not have accurately captured the true prevalence of use. Likewise, respondents were limited to MBT specifically queried by NHIS and NHIS categorizations, such as deep breathing exercises, may not be considered as MBT by some respondents,further impacting our ability to accurately estimate the prevalence of use. NHIS also did not assess quantity or duration of MBT use, which limits our ability to distinguish the characteristics of onetime users compared with adults practicing MBT over time. In addition, the 2002 NHIS was administered only in English and Spanish, and certain immigrant populations that are less acculturated may have different patterns of MBT use38 that were not captured. Lastly, NHIS does not collect data on all possible reasons for MBT use, such as for peri-procedural pain control.33, 39

CONCLUSION

In summary, we found that MBT is commonly used in the United States, and identified a wide range of medical conditions that were associated with MBT use. MBT is most often used to treat anxiety/depression and musculoskeletal pain syndromes. Although there is high prevalence of use and perceived helpfulness of MBT, current data on the efficacy of MBT for treatment of most medical conditions are limited. Thus a schism continues to exist between our scientific knowledge of these therapies and their use by patients. Better understanding of these the potential efficacy of MBT for treatment of specific medical conditions would broaden our perceptions of the complex relationship between the mind and body as they relate to health and healing.

Acknowledgements

This study was supported by Grant R03 AT002236 from the National Center for Complementary and Alternative Medicine 1, National Institutes of Health (NIH). Dr. Bertisch is supported by an Institutional National Research Service Award (T32AT00051-06) from National Institutes of Health. Dr. Wee was supported by a grant from the National Institute of Diabetes, Digestive, and Kidney Diseases (K23DK02962) at the time the study was conducted. Dr. Phillips is supported by a Mid-Career Investigator Award (K24AT000589) from the NCCAM, NIH. This manuscript was presented in part at the Society of General Internal Medicine National Conference, Los Angeles, CA, April 2006. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the NCCAM, nor the National Institutes of Health.

Footnotes

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Conflict of Interest: None of the authors have any potential conflicts of interest to disclose.

References

  • 1.National Center for Alternative and Complementary Medicine What is CAM? [Accessed December 18, 2007]; Available at: http://nccam.nih.gov/health/whatiscam/#4.
  • 2.Barnes PM, Powell-Griner E, McFann K, Nahin RL. Complementary and alternative medicine use among adults: United States, 2002. Adv Data. 2004:1–19. [PubMed] [Google Scholar]
  • 3.Morin CM, Bootzin RR, Buysse DJ, Edinger JD, Espie CA, Lichstein KL. Psychological and behavioral treatment of insomnia:update of the recent evidence (1998-2004) Sleep. 2006;29:1398–414. doi: 10.1093/sleep/29.11.1398. [DOI] [PubMed] [Google Scholar]
  • 4.Irwin MR, Cole JC, Nicassio PM. Comparative meta-analysis of behavioral interventions for insomnia and their efficacy in middle-aged adults and in older adults 55+ years of age. Health Psychol. 2006;25:3–14. doi: 10.1037/0278-6133.25.1.3. [DOI] [PubMed] [Google Scholar]
  • 5.Evers AW, Kraaimaat FW, van Riel PL, de Jong AJ. Tailored cognitive-behavioral therapy in early rheumatoid arthritis for patients at risk: a randomized controlled trial. Pain. 2002;100:141–53. doi: 10.1016/s0304-3959(02)00274-9. [DOI] [PubMed] [Google Scholar]
  • 6.Astin JA, Beckner W, Soeken K, Hochberg MC, Berman B. Psychological interventions for rheumatoid arthritis: a meta-analysis of randomized controlled trials. Arthritis Rheum. 2002;47:291–302. doi: 10.1002/art.10416. [DOI] [PubMed] [Google Scholar]
  • 7.Ostelo RW, van Tulder MW, Vlaeyen JW, Linton SJ, Morley SJ, Assendelft WJ. Behavioural treatment for chronic low-back pain. Cochrane Database Syst Rev. 2005:CD002014. doi: 10.1002/14651858.CD002014.pub2. [DOI] [PubMed] [Google Scholar]
  • 8.Lichstein KL, Riedel BW, Wilson NM, Lester KW, Aguillard RN. Relaxation and sleep compression for late-life insomnia: a placebo-controlled trial. J Consult Clin Psychol. 2001;69:227–39. doi: 10.1037//0022-006x.69.2.227. [DOI] [PubMed] [Google Scholar]
  • 9.Means MK, Lichstein KL, Epperson MT, Johnson CT. Relaxation therapy for insomnia: nighttime and day time effects. Behav Res Ther. 2000;38:665–78. doi: 10.1016/s0005-7967(99)00091-1. [DOI] [PubMed] [Google Scholar]
  • 10.Sherman KJ, Cherkin DC, Erro J, Miglioretti DL, Deyo RA. Comparing yoga, exercise, and a self-care book for chronic low back pain: a randomized, controlled trial. Ann Intern Med. 2005;143:849–56. doi: 10.7326/0003-4819-143-12-200512200-00003. [DOI] [PubMed] [Google Scholar]
  • 11.National Center for Health Statistics National Health Interview Survey (NHIS) Survey Description Document. [Accessed December 18, 2007];2002 Available at: http:/www.cdc.gov/nchs/about/major/nhis/quest_data_related_1997_forward.htm.
  • 12.Wolsko PM, Eisenberg DM, Davis RB, Phillips RS. Use of mind-body medical therapies. J Gen Intern Med. 2004;19:43–50. doi: 10.1111/j.1525-1497.2004.21019.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.National Center for Complementary and Alternative Medicine Research Funding Priorities. [Accessed November 30, 2007]; Available at; http://nccam.nih.gov/research/priorities//index.htm#5.
  • 14.Kushi LH, Fee RM, Folsom AR, Mink PJ, Anderson KE, Sellers TA. Physical activity and mortality in postmenopausal women. Jama. 1997;277:1287–92. [PubMed] [Google Scholar]
  • 15.Iezzoni LI, McCarthy EP, Davis RB, Siebens H. Mobility impairments and use of screening and preventive services. Am J Public Health. 2000;90:955–61. doi: 10.2105/ajph.90.6.955. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Ni H, Simile C, Hardy AM. Utilization of complementary and alternative medicine by United States adults: results from the 1999 national health interview survey. Med Care. 2002;40:353–8. doi: 10.1097/00005650-200204000-00011. [DOI] [PubMed] [Google Scholar]
  • 17.Rains JC, Penzien DB, McCrory DC, Gray RN. Behavioral headache treatment: history, review of the empirical literature, and methodological critique. Headache. 2005;45(Suppl 2):S92–109. doi: 10.1111/j.1526-4610.2005.4502003.x. [DOI] [PubMed] [Google Scholar]
  • 18.Krisanaprakornkit T, Krisanaprakornkit W, Piyavhatkul N, Laopaiboon M. Meditation therapy for anxiety disorders. Cochrane Database Syst Rev. 2006:CD004998. doi: 10.1002/14651858.CD004998.pub2. [DOI] [PubMed] [Google Scholar]
  • 19.Barrows KA, Jacobs BP. Mind-body medicine. An introduction and review of the literature. Med Clin North Am. 2002;86:11–31. doi: 10.1016/s0025-7125(03)00069-5. [DOI] [PubMed] [Google Scholar]
  • 20.Teasdale JD, Segal ZV, Williams JM, Ridgeway VA, Soulsby JM, Lau MA. Prevention of relapse/recurrence in major depression by mindfulness-based cognitive therapy. J Consult Clin Psychol. 2000;68:615–23. doi: 10.1037//0022-006x.68.4.615. [DOI] [PubMed] [Google Scholar]
  • 21.Ma SHTJ. Mindfulness-based cognitive therapy for depression: replication and exploration of differential relapse prevention effects. J Consult Clin Psychol. 2004;72:31–40. doi: 10.1037/0022-006X.72.1.31. [DOI] [PubMed] [Google Scholar]
  • 22.Carlson LE, Speca M, Faris P, Patel KD. One year pre-post intervention follow-up of psychological, immune, endocrine and blood pressure outcomes of mindfulness-based stress reduction (MBSR) in breast and prostate cancer outpatients. Brain Behav Immun. 2007;21:1038–49. doi: 10.1016/j.bbi.2007.04.002. [DOI] [PubMed] [Google Scholar]
  • 23.Evans S, Ferrando S, Findler M, Stowell C, Smart C, Haglin D. Mindfulness-based cognitive therapy for generalized anxiety disorder. J Anxiety Disord. 2008;22:716–21. doi: 10.1016/j.janxdis.2007.07.005. [DOI] [PubMed] [Google Scholar]
  • 24.Toneatto T, Nguyen L. Does mindfulness meditation improve anxiety and mood symptoms? A review of the controlled research. Can J Psychiatry. 2007;52:260–6. doi: 10.1177/070674370705200409. [DOI] [PubMed] [Google Scholar]
  • 25.Shapiro SL, Schwartz GE, Bonner G. Effects of mindfulness-based stress reduction on medical and premedical students. J Behav Med. 1998;21:581–99. doi: 10.1023/a:1018700829825. [DOI] [PubMed] [Google Scholar]
  • 26.Sagula DRK. The effectiveness of mindfulness based training on the grieving process and emotional well-being of chronic pain patients. J Clin Psychol Med Settings. 2004;11:333–342. [Google Scholar]
  • 27.Tacon AM, McComb J, Caldera Y, Randolph P. Mindfulness meditation, anxiety reduction, and heart disease: a pilot study. Fam Community Health. 2003;26:25–33. doi: 10.1097/00003727-200301000-00004. [DOI] [PubMed] [Google Scholar]
  • 28.Davidson RJ, Kabat-Zinn J, Schumacher J, et al. Alterations in brain and immune function produced by mindfulness meditation. Psychosom Med. 2003;65:564–70. doi: 10.1097/01.psy.0000077505.67574.e3. [DOI] [PubMed] [Google Scholar]
  • 29.Speca M, Carlson LE, Goodey E, Angen M. A randomized, wait-list controlled clinical trial: the effect of a mindfulness meditation-based stress reduction program on mood and symptoms of stress in cancer outpatients. Psychosom Med. 2000;62:613–22. doi: 10.1097/00006842-200009000-00004. [DOI] [PubMed] [Google Scholar]
  • 30.Carlson LE, Ursuliak Z, Goodey E, Angen M, Speca M. The effects of a mindfulness meditation-based stress reduction program on mood and symptoms of stress in cancer outpatients: 6-month follow-up. Support Care Cancer. 2001;9:112–23. doi: 10.1007/s005200000206. [DOI] [PubMed] [Google Scholar]
  • 31.Goldenberg DLK, KH, Nadeau MG, Brodeur C, Smith S, Scmid CH. A controlled study of a stress-reduction, cognitive-behavioral treatment program in fibromyalgia. J Musculoskeletal Pain. 1994;2:22–7. [Google Scholar]
  • 32.Langevin HM, Sherman KJ. Pathophysiological model for chronic low back pain integrating connective tissue and nervous system mechanisms. Med Hypotheses. 2007;68:74–80. doi: 10.1016/j.mehy.2006.06.033. [DOI] [PubMed] [Google Scholar]
  • 33.Astin JA, Marie A, Pelletier KR, Hansen E, Haskell WL. A review of the incorporation of complementary and alternative medicine by mainstream physicians. Arch Intern Med. 1998;158:2303–10. doi: 10.1001/archinte.158.21.2303. [DOI] [PubMed] [Google Scholar]
  • 34.Astin JA, Soeken K, Sierpina VS, Clarridge BR. Barriers to the integration of psychosocial factors in medicine: results of a national survey of physicians. J Am Board Fam Med. 2006;19:557–65. doi: 10.3122/jabfm.19.6.557. [DOI] [PubMed] [Google Scholar]
  • 35.Wahner-Roedler DL, Vincent A, Elkin PL, Loehrer LL, Cha SS, Bauer BA. Physicians’ attitudes toward complementary and alternative medicine and their knowledge of specific therapies: a survey at an academic medical center. Evid Based Complement Alternat Med. 2006;3:495–501. doi: 10.1093/ecam/nel036. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Astin JA. Why patients use alternative medicine: results of a national study. Jama. 1998;279:1548–53. doi: 10.1001/jama.279.19.1548. [DOI] [PubMed] [Google Scholar]
  • 37.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 doi: 10.1007/s11606-008-0735-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Hsiao AF, Wong MD, Goldstein MS, et al. Variation in complementary and alternative medicine (CAM) use across racial/ethnic groups and the development of ethnic-specific measures of CAM use. J Altern Complement Med. 2006;12:281–90. doi: 10.1089/acm.2006.12.281. [DOI] [PubMed] [Google Scholar]
  • 39.Flory N, Salazar GM, Lang EV. Hypnosis for acute distress management during medical procedures. Int J Clin Exp Hypn. 2007;55:303–17. doi: 10.1080/00207140701338670. [DOI] [PubMed] [Google Scholar]

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