Evidence map›Paper›PMID 21053090›Full record

ArticleJournal of general internal medicine2011

Use of complementary and alternative medicine and self-rated health status: results from a national survey.

Long T Nguyen, Roger B Davis, Ted J Kaptchuk, Russell S Phillips

Abstract readComparative Study
In one paragraph

Article in Journal of general internal medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Interest and Attitudes about Hypnosis in a Large Community Sample.Psychology of consciousness (Washington, D.C.) · 2018
    Article
  11. Acupressure for chronic low back pain: a single system study.Journal of physical therapy science · 2017
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Massage efficacy beliefs for muscle recovery from a running race.International journal of therapeutic massage & bodywork · 2013
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Long T NguyenDivision for Research and Education in Complementary and Integrative Medical Therapies, Harvard Medical School Osher Research Center, 401 Park Drive, Suite 22-A West, Boston, MA 02215, USA. Long@DrNguyen.Org
Roger B Davis
Ted J Kaptchuk
Russell S Phillips

Funding

Research Training in Complementary and Integrative MedicineT32AT000051 · NCCIH · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI GLORIA Y YEH · 1999 to 2026
$10.2M
Research and Mentorship in Alternative MedicineK24AT000589 · NCCIH · BETH ISRAEL DEACONESS MEDICAL CENTER · PI PHILLIPS, RUSSELL SCOTT · 2001 to 2010
$1.5M
Mentoring and Research in Placebo Studies, Asian Medicine, and CAMK24AT004095 · NCCIH · HARVARD MEDICAL SCHOOL · PI KAPTCHUK, TED · 2007 to 2016
$1.4M
NCCIH NIH HHS K24 AT000589NCCIH NIH HHS K24-AT000589NCCIH NIH HHS K24 AT004095NCCIH NIH HHS T32 AT000051NCCIH NIH HHS T32AT00051
6 · The paper itself

Abstract

backgroundDespite the absence of conclusive evidence of effectiveness, complementary and alternative medicine (CAM) is used by 4 of 10 adults in the US; little is known about the association between CAM use and health status.

objectiveTo determine the relation between CAM use and self-reported health status and health improvement over time. DESIGN AND

participantsWe performed a secondary database analysis using data from the 2007 National Health Interview Survey of non-institutionalized US residents conducted by the National Center of Health Statistics of the Center for Disease Control. We identified CAM users and compared them to non-users. We used multivariable logistic regression to model the health status of respondents. We controlled for confounders including socio-demographic, clinical, and behavioral factors. The models were evaluated for discrimination and calibration. MAIN MEASURES: The likelihood of respondents to report 'Excellent' current health and 'Better' health than in the prior year. KEY

resultsBased on 23,393 respondents, we found 37% of U.S. adults used complementary and alternative medicine and 63% did not use any CAM. Compared to those who did not use CAM, CAM users were more likely to rate their health as 'Excellent' (adjusted-odds ratio (AOR) = 1.14, 95% CI = [1.03,1.26]). Similarly, CAM users were more likely to report their health as 'Better' than in the prior year (AOR = 1.64, 95% CI = [1.49,1.83]). The c-statistics for the two models were 0.755 and 0.616, respectively.

conclusionWe found a significant association between CAM use and self-rated excellent health and health improvement over the prior year. Prospective trials are required to determine whether CAM use is causally related to excellent health status and better health than in the prior year.

Indexed as

Health Knowledge, Attitudes, PracticeHealth StatusHealth SurveysSelf ReportAdolescentAdultAgedAged, 80 and overComplementary TherapiesDatabases, FactualFemaleHumansMaleMiddle AgedUnited StatesYoung Adult

Identifiers

PMID21053090
PMCPMC3055973

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.