Mobility Limitations and Complementary and Alternative Medicine: Are People with Disabilities More Likely to Pray?
Open accessAbstract
Attendance at religious services by persons with functional disabilities is related to subsequent improvement in functioning.1 One conceptual model for such relationships between religion and improved outcomes is “religious coping,” ranging from general commitment to religious beliefs to application of religious beliefs to specific personal difficulties.2 One application of religious beliefs to personal difficulty is using prayer as complementary and alternative medicine (CAM). It may be hypothesized, therefore, that difficulty in physical functioning may be associated with the use of prayer as CAM. This study examines that hypothesis by asking (1) whether mobility limitation is related to the use of prayer as CAM, and (2) whether such a relationship can be attributed to other predictors of CAM use. The data are from the National Health Interview Survey (NHIS), which conducts face-to-face interviews with nationally representative samples of community-dwelling families.3 In 1999, 1 adult in each family was asked about specific CAM services they used for their own health care during the previous year, including “prayer or spiritual healing.” (The others were acupuncture, relaxation, massage, imagery [creating images or colors in the mind], diet, herbs, homeopathy, energy healing, biofeedback, and hypnosis.) From these data, 3 categories of CAM were created: did not use any CAM; used CAM, but not prayer; and used prayer with or without use of other CAM. Mobility limitation was measured by asking questions about activities: “By yourself and without using any special equipment, how difficult is it for you to [name of activity; e.g., ‘sit for about 2 hours’]—not at all difficult, only a little difficult, somewhat difficult, very difficult, or can’t do it at all?” Measures were constructed of 3 mobility functions, as defined by the International Classification of Functioning, Disability, and Health (ICF).4 The ICF mobility functions and the NHIS questions about activities used to measure each are (1) “changing and maintaining body position,” ICF codes a410–a415 (NHIS questions on standing, sitting, reaching, pushing, and stooping); (2) “carrying, moving, and handling objects,” ICF codes a430–a439 (NHIS questions on carrying and grasping); and (3) “walking and moving around,” ICF codes a450–a455 (NHIS questions on walking and climbing). If any of the specific NHIS activities in an ICF functional type were reported to be “very difficult” or “unable to do,” the degree of limitation for that type was coded “severecomplete.” If the limitation was not coded severe-complete, but “a little” or “some” difficulty was reported for any of the activities defining a mobility type, the degree of limitation was coded “mild-moderate.” The remaining cases reported no difficulty in any of the activities defining an ICF type, and were coded “no limitation” for that type. Population statistics were estimated using Stata procedures that adjust for the complex sample design of the NHIS.5 Table 1 ▶ shows the percentage distributions of adults by CAM use categories according to the type and degree of mobility limitation. In this brief report, attention is focused on the column headed “Used Prayer With or Without Other CAM.” The main findings are that (1) persons with mobility limitations were significantly more likely than those without limitations to use prayer as CAM (2-tailed test, P < .05); (2) among persons with mobility limitations, there was no significant difference in the use of prayer as CAM between those with mild-moderate limitations and those with severe-complete limitations; (3) these findings applied to each of the 3 mobility types considered. TABLE 1— Degree of Mobility Limitation of American Adults, by Use of Complementary and Alternative Medicine: United States, 1999 Both functional status and the use of prayer as CAM are related to other personal characteristics, including gender, age, race/ethnicity, and health status.6,7 To investigate the possible confounding effects of these relationships, additional analyses were conducted using multinomial logistic regression. Models of CAM use were estimated for each of the 3 ICF mobility functions, with mobility limitations (none, mild-moderate, severe-complete) as the predictor variables, and controls for sex, age (18 to 24, 25 to 34, 35 to 44, 45 to 54, 55 to 64, and 65 years and older), Hispanic origin and race (non-Hispanic White, Hispanic, non-Hispanic Black, and Other), and change in health status in the past 12 months (better, same, worse). The relative risk ratios and their standard errors are shown in Table 2 ▶. The relative risk ratio is the “risk” of using the type of CAM in the column heading relative to the risk of using no CAM. TABLE 2— Results of Multinomial Regression for Degree of Mobility Limitation, by Use of Complementary and Alternative Medicine: United States, 1999a Focusing on the use of prayer with or without
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Considering the 33 highest quality studies, 13 (39%) reported significantly better physical functioning among those who were more R/S (including one study at a trend level).
“Considering the 33 highest quality studies, 13 (39%) reported significantly better physical functioning among those who were more R/S (including one study at a trend level) [483–495], six (18%) found worse functioning [496–501], and five studies (15%) reported mixed results [82, 124, 502–504] (significant positive and negative associations, depending on R/S characteristic).”
From Religion, Spirituality, and Health: The Research and Clinical Implications (2012) · cites this paper as [488]
The Results and conclusion (p. 1080) report the opposite association for this study: people with mobility limitations were significantly more likely to use prayer as complementary and alternative medicine. The introduction mentions a separate study linking religious-service attendance to later improvement, but Hendershot’s own findings do not report better physical functioning among those who pray more. (LLM, conf=0.88)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Trends in Alternative Medicine Use in the United States, 1990-1997
Eisenberg, D. M., Davis, R. B., Ettner, S. L., Appel, S., Wilkey, S. A., Rompay, M. I. V., & Kessler, R. C. (1998) · JAMA · doi:10.1001/jama.280.18.1569 · Cited by 6,693 · see citing works
Bachu, A. (1999) · Cited by 2,618 · see citing works
Religion and Health: Public Health Research and Practice
Chatters, L. M. (2000) · Annual Review of Public Health · doi:10.1146/annurev.publhealth.21.1.335 · Cited by 537 · see citing works
Idler, E. L., & Kasl, S. V. (1997) · The Journals of Gerontology Series B · doi:10.1093/geronb/52b.6.s306 · Cited by 296 · see citing works
Americans with Disabilities 1991-1992
Hd., J. (1994) · Population · doi:10.2307/1533971 · Cited by 226 · see citing works
The Herbal History of Digitalis: Lessons for Alternative Medicine
Ritter, G., & Dembicki, E. L. (2000) · JAMA · doi:10.1001/jama.283.7.884 · Cited by 10 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Religion, Spirituality, and Health: The Research and Clinical Implications
Koenig, H. G. (2012) · ISRN Psychiatry · doi:10.5402/2012/278730 · Cited by 2,423 · see citing works
“[497] G.”
Hill, T. D., Burdette, A. M., Taylor, J., & Angel, J. L. (2016) · Journal of Health and Social Behavior · doi:10.1177/0022146515627850 · Cited by 31 · see citing works
Pannek, J., Pannek-Rademacher, S., & Wöllner, J. (2015) · Spinal Cord · doi:10.1038/sc.2015.21 · Cited by 25 · see citing works
- Authors
- Hendershot, G. E.
- Affiliations
- The author is a consultant on disability and health statistics.
- Corresponding author
- Hendershot, Gerry E.
- Venue
- American Journal of Public Health
- Publisher
- American Public Health Association
- Published
- 2003-07
- Volume
- 93
- Issue
- 7
- Pages
- 1079-1080
- ISSN
- 0090-0036 (ISSN-L)
- 1541-0048
- PMC
- PMC1447910
- OpenAlex
- W2077991274
- Cited by
- 60
- References
- 6
- Citations by year
- 2023: 41 · 2019: 1 · 2016: 1 · 2015: 1 · 2012: 2
- FWCI
- 1.07
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- American Journal of Public Health (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Health › Religion, Spirituality, and Psychology
- Health Sciences › Medicine › Complementary and alternative medicine › Complementary and Alternative Medicine Studies
- Social Sciences › Demography › Workplace Spirituality and Leadership
- Keywords
- prayer, complementary and alternative medicine, mobility limitations, functional disability, religious coping, spiritual healing, physical function, International Classification of Functioning, Disability and Health, activities of daily living, predictors of CAM use, religious service attendance, community-dwelling adults, body position change, health-seeking behavior
- MeSH terms
- Activities of Daily Living, Adult, Persons with Disabilities, Humans, Middle Aged, Movement, United States, Faith Healing
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review