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The Journal of Nutrition, Health & Aging logoLink to The Journal of Nutrition, Health & Aging
. 2016 Apr 8;20(6):637–644. doi: 10.1007/s12603-016-0721-2

Prevalence of glucosamine and omega-3 fatty acid use and characteristics of users among mid-age women: Analysis of a nationally representative sample of 10,638 women

D Sibbritt 1, C Lui 2, T Kroll 3, Jon Adams 1,4,d
PMCID: PMC12879103  PMID: 27273353

Abstract

Background

There has been a dramatic increase in the use of dietary supplements over the last few decades and both omega-3 fatty acids and glucosamine are two of the best-selling dietary supplements in many countries. An understanding of omega-3 fatty acids and glucosamine consumption is of significance to health care providers and for future health promotion activities.

Methods

This research involved analysis of data collected from a nationally-representative sample of Australian women as part of the Australian Longitudinal Study on Women's Health (ALSWH). Participants' use of omega-3 fatty acids (FA), glucosamine, their demographics, health status and health care utilisation were measured. Analysis included logistic regression modelling.

Results

Of the 10,638 women in the study, 26.8% reported use of omega-3 FA and 15.9% glucosamine. Women with osteoarthritis (OR=2.529; 95% CI: 2.190, 2.921), other arthritis (OR= 1.618; 95% CI: 1.375, 1.905), and joint pain (OR= 2.699; 95% CI: 2.305, 3.160) were more likely to use glucosamine (all p<0.001). In contrast, those with diabetes (OR= 0.471; 95% CI: 0.343, 0.646) or depression (OR= 0.764; 95% CI: 0.657, 0.887) were less likely to use glucosamine (both p<0.001). Women with osteoarthritis (OR=1.481; 95% CI: 1.297, 1.691) and joint pain (OR= 1.456; 95% CI: 1.306, 1.622) were more likely to use omega-3 FA (all p<0.001).

Conclusions

Substantial prevalence rates for use of glucosamine and omega-3 FA amongst mid-aged women highlights the need for health practitioners and policymakers to be mindful of the possible significant role of such supplement use as part of patient health-seeking behaviours.

Key words: Glucosamine, omega-3 fatty acids, women, arthritis, joint pain

Introduction

There has been a dramatic increase in the use of dietary supplements in Western societies over the past few decades (1., 2., 3.) which has been attributed to population ageing (4) and an increase in the prevalence of chronic diseases, that conventional medicine often fails to adequately treat (5., 6.). Omega-3 fatty acids (FA) and glucosamine are two of the most popular dietary supplements in many countries. Research has identified omega-3 FA (fish oil/omega-3/DHA or docosahexaenoic acid) (37%) and glucosamine (20%) as the first and second most commonly used natural (non-vitamin, non-mineral) products among American adults (7). A UK cohort study of 1,646 older supplement users found fish liver oils constituted 84% of all oils taken by participants and identified glucosamine/chondroitin as used by 11% of men and 18% of women (2). Another study of older New Zealand men reported 13% of participants used fish oils or glucosamine/chondroitin preparations (8). In Australia, glucosamine and omega-3 FA are among the top five complementary medications that GPs (glucosamine 85%, rank 1; omega-3 FA 83%, rank 3) or community pharmacists (glucosamine 95%, rank 1; omega-3 FA 90%, rank 4) recommend to patients (9).

Recent research in Australia has found that glucosamine (9) and omega-3 FA (10) use are high among women, non-smokers, those having higher income and private health insurance. The use of these two supplements was also found to be associated with geographical region (glucosamine higher in rural and omega-3 FA higher in urban setting) (10, 11). The findings of these two studies also suggested that the two supplements may be used for the management of osteoarthritis (glucosamine) or osteoarthritis, osteoporosis, high cholesterol, anxiety and/or depression (omega-3 FA) (10, 11).

Glucosamine is commonly used as a preventive measure and treatment for joint problems and osteoarthritis (12., 13., 14.). However, the evidence base for the effectiveness of it as a treatment for osteoarthritis remains inconclusive (15., 16., 17., 18., 19., 20., 21., 22.). It has been suggested that the heterogeneity of research findings could be exacerbated by factors such as varying formulations (e.g. glucosamine sulfate vs. hydrochloride), variations in quality, industry bias, and/or methodological variability (23, 24).

The clinical evidence base for omega-3 FA is varied depending on the specific condition. There is ample evidence in the literature that omega-3 FA help in preventing or benefiting the outcomes of cardiovascular disease (25., 26., 27., 28., 29., 30., 31., 32., 33.). However, a new meta-analysis and systematic review published in 2012 found no relation between use of omega-3 FA and reduced risk of major cardiovascular diseases (34). At present, the National Heart Foundation of Australia recommends all Australian adults consume about 500 mg (or 1,000 mg for those who have documented coronary heart disease) of omega-3 FA per day (35). There is also some evidence that omega-3 FA may improve clinical, biological and quality of life parameters amongst patients with advanced cancer (36., 37., 38.). The efficacy of omega-3 FA regarding the following conditions is also suggested, but there is currently insufficient evidence to support these claims: improvement of mental health disorders (39., 40., 41.) asthma (42), cystic fibrosis (43), rheumatoid arthritis, inflammatory bowel disease and osteoporosis (44) and cognitive functions affected by aging, dementia, and neurological diseases (45, 46).

Despite the extensive use of glucosamine and omega-3 FA in contemporary societies, the topic has received little attention to date. While previous broad complementary and alternative medicine (CAM) or nutrition-focused studies have provided prevalence rates for glucosamine (7, 47., 48., 49., 50.) and omega-3 FA use (7, 50), there has been little focused examination of the profile of users of glucosamine (51, 12) and omega-3 FA (10) and the various factors influencing the consumption of these two supplements (8).

Drawing upon analysis of a nationally representative sample of Australian women, this paper reports findings regarding the prevalence and profile of glucosamine and omega-3 FA users providing information of significance for nutrition planning, health promotion and service delivery.

Methods

Sample

This research was conducted as part of the Australian Longitudinal Study on Women's Health (ALSWH) which was designed to investigate multiple factors affecting the health and wellbeing of women over a 20-year period. Women in three age groups (‘young' 18-23, ‘mid age' 45-50 and ‘older' 70-75 years) were randomly selected from the national Medicare database (52). The focus of this study is women from the mid-age cohort. The baseline survey, comprising of 14,099 women, was conducted in 1996 and the respondents have been shown to be broadly representative of the national population of women in the target age groups (53). Analyses for this research is restricted to the survey conducted in 2007, as specific questions on use of vitamins and supplements were asked in this survey only.

Measures of demographic characteristics

Postcode of residence at the time of the baseline survey was used to classify area of residence as urban or non-urban. Women were asked about their current marital status, the highest educational qualification they had completed, and whether or not they have private health insurance for ancillary services. The women were also asked how they manage on the income they have available.

Measure of health status

Women were asked to rate their overall health and were given 5 categories (excellent, very good, good, fair, poor). Women were classified according to the number of cigarettes smoked each day as ‘non-smoker' or ‘current smoker' using a modified version of the Australian Institute of Health and Welfare data dictionary (54) and also classified according to their consumption of alcohol as defined by the National Health and Medical Research Council of Australia (55): ‘risky/high risk drinker' (over 175ml of pure alcohol per week), ‘low risk drinker' (up to 175ml of pure alcohol per week) or ‘non-drinker' (abstaining from alcohol).

Women were asked how often they experienced a list of symptoms in the previous twelve months, including: allergies or hay fever or sinusitis, indigestion, chest pain, headaches or migraines, severe tiredness, stiff or painful joints, back problems, haemorrhoids, other bowel problems, depression, and anxiety. Women were also asked whether a doctor had ever told them that they had any of the chronic medical conditions listed, including: osteoarthritis, rheumatoid arthritis, other arthritis, osteoporosis, diabetes, heart disease (heart attack or angina), hypertension, low iron, asthma, and cancer (excluding skin cancer).

Health service utilisation

The women were asked about their frequency of consultations in the previous twelve months of a general practitioner (GP) and a specialist doctor. In addition, they were asked if they had consulted with a range of CAM practitioners (i.e. chiropractor, massage therapist, acupuncturist, naturopath/herbalist, osteopath, other alternative health practitioner) in the previous twelve months.

Outcome measures

The women were asked to write down the names of all their medications, vitamins, supplements or herbal therapies. Where possible, they were asked to copy the names of these products from the packets. From this information, the Anatomical Therapeutic Chemical (ATC) codes (56) were used to define use of glucosamine and omega-3 FA.

Statistical analyses

Chi-square tests were used to examine the association between glucosamine use, omega-3 FA use and the demographic, health status and health service utilisation variables. Separate logistic regression model building processes were undertaken to determine the statistically significant predictors of glucosamine use and omega-3 FA use. That is, all the demographic, health status and health service utilisation variables listed above were entered into a model and then a stepwise backward elimination process was employed, using a likelihood ratio test, to eventually produce the most parsimonious model. In response to the large sample size, a p-value < 0.005 was adopted for statistical significance. All analyses were conducted using statistical program SAS.

Results

Of the 10,638 women in our study, 26.8% (n=2,847) reported use of omega-3 FA and 15.9% (n=1,685) glucosamine. Table 1 shows the distributions of demographic characteristics amongst women who do or do not consume omega-3 FA or glucosamine. Those women with no formal education or who find it difficult to manage on their income were less likely to use the two dietary supplements (all p<0.005). Women with ancillary health insurance were more likely to use glucosamine and omega-3 FA (all p<0.005) than those without ancillary health insurance. Neither area of residence or marital status was significantly associated with use of these two supplements.

Table 1.

The distribution of demographic characteristics amongst women who do or do not consume omega-3 FA and do or not consume glucosamine

Characteristic
Omega-3 FA Glucosamine


Yes No Yes No


(n=2847) (n=7791) (n=1685) (n=8953)
% % % %
Area of Residence urban 41 39 39 40

rural/remote 59 61 61 60
Education 1,1 no formal 14 17 11 17

school only 49 48 49 48

trade/diploma 21 20 23 20

tertiary 16 15 17 15
Manage on Income 1, 2 impossible/difficult always 10 13 10 13

difficult sometimes 23 24 22 24

not too bad/easy 67 63 68 63
Marital Status married/defacto 79 78 81 78

separ./widowed/divorced 18 19 16 19

never married 3 3 2 3
Health Insurance 1,2 yes 62 56 63 57

no
38
44
37
43
1

Statistically significant association with omega-3 FA (p<0.005);

2

Statistically significant association with glucosamine (p<0.005)

The distributions of health status characteristics amongst women who do or do not consume omega-3 FA or glucosamine are presented in Table 2. Women who consume the two supplements were more likely to be non-smokers and low-risk drinkers of alcohol (all p<0.005). They were also more likely to have osteoarthritis, other arthritis, joint pain and back problems (all p<0.005). The women who consume glucosamine were also more likely to have rheumatoid arthritis (p<0.005). In contrast, women with diabetes were less likely to use these two supplements (all p<0.005) and women with hypertension were less likely to use omega-3 FA (p<0.005). There were no statistically significant associations between use of these two supplements and osteoporosis, asthma, cancer, heart disease, anxiety or depression.

Table 2.

The distribution of health status characteristics amongst women who do or do not consume omega-3 FA and do or not consume glucosamine

Characteristic
Omega-3 FA Glucosamine


Yes No Yes No


(n=2847) (n=7791) (n=1685) (n=8953)
% % % %
Smoking Status 1,2 non-smoker 93 88 93 88

current smoker 7 12 7 12
Alcohol Status 1,2 non-drinker 7 9 5 9

low-risk 87 85 88 84

risky 6 7 7 7
Overall Health excellent/v. good/good 87 86 88 86

fair/poor 13 14 12 14
Osteoarthritis1,2 yes 21 14 32 13

no 79 86 68 87
Rheumatoid Arthritis2 yes 5 4 6 4

no 95 96 94 96
Other Arthritis1,2 yes 16 13 20 12

no 84 87 80 88
Osteoporosis yes 7 6 7 6

no 93 94 93 94
Asthma yes 10 10 12 10

no 90 90 88 90
Cancer yes 17 16 17 16

no 83 84 83 84
Hypertension1 yes 26 29 27 28

no 74 71 73 72
Heart Attack or Angina yes 4 4 4 3

no 96 96 96 97
Anxiety yes 8 8 7 8

no 92 92 93 92
Depression yes 24 23 22 24

no 76 77 78 76
Diabetes1,2 yes 5 7 4 7

no 95 93 96 93
Joint Pain1,2 yes 70 61 83 59

no 30 39 17 41
Back Problems1,2 yes 60 53 66 53

no
40
47
34
47
1

Statistically significant association with omega-3 FA (p<0.005);

2

Statistically significant association with glucosamine (p<0.005)

Table 3 shows the distribution of health service utilisation characteristics amongst women who do or do not consume omega-3 FA or glucosamine. The women who used these two supplements were more likely to consult with a GP, specialist, and CAM practitioner (all p<0.005).

Table 3.

The distribution of health service utilisation characteristics amongst women who do or do not consume omega-3 FA and do or not consume glucosamine

Characteristic
Omega-3 FA Glucosamine


Yes No Yes No


(n=2847) (n=7791) (n=1685) (n=8953)
% % % %
GP visits1,2 yes 95 93 96 93

no 5 7 4 7
Specialist Visit1,2 yes 50 46 52 46

no 50 54 48 54
CAM Visits1,2 yes 51 39 53 41

no
49
61
47
59
1

Statistically significant association with omega-3 FA (p<0.005);

2

Statistically significant association with glucosamine (p<0.005)

The multiple logistic regression model for predicting consumption of glucosamine is presented in Table 4. In comparison to women with a tertiary education, women with no formal education were 0.563 (95% CI: 0.444, 0.714) time less likely to use glucosamine (p<0.001), while women with school only education were 0.861 (95% CI: 0.732, 1.026) times less likely to use glucosamine (p=0.003). Women who were current smokers were 0.661 (95% CI: 0.529, 0.826) times less likely to use glucosamine than non-smokers (p<0.001). In comparison to risky drinkers of alcohol, those women who were low risk drinkers were 1.638 (95% CI: 1.153, 2.329) times more likely to consume glucosamine (p=0.001). The women who consulted a CAM practitioner were also 1.432 (95% CI: 1.267, 1.618) times more likely to use glucosamine (p<0.001). Regarding health conditions, the women with osteoarthritis (OR=2.529; 95% CI: 2.190, 2.921), other arthritis (OR= 1.618; 95% CI: 1.375, 1.905), and joint pain (OR= 2.699; 95% CI: 2.305, 3.160) were more likely to use glucosamine (all p<0.001). In contrast, those with diabetes (OR= 0.471; 95% CI: 0.343, 0.646) or depression (OR= 0.764; 95% CI: 0.657, 0.887) were less likely to use glucosamine (both p<0.001).

Table 4.

Multiple logistic regression model for predicting consumption of glucosamine

Factor Odds Ratio 95% C.I. p-value
Education Tertiary -


Trade / Diploma 0.987 0.811, 1.203 0.456

School Only 0.861 0.732, 1.026 0.003

No Formal 0.563 0.444, 0.714 <0.001
Smoking Status Non-smoker -


Current smoker 0.661 0.529, 0.826 <0.001
Alcohol Status Risky drinker -


Low risk drinker 1.638 1.153, 2.329 0.001

Non-drinker 1.042 0.815, 1.333 0.032
Consulted a CAM No -

Practitioner Yes 1.432 1.267, 1.618 <0.001
Osteo-arthritis No -


Yes 2.529 2.190, 2.921 <0.001
Other Arthritis No -


Yes 1.618 1.375, 1.905 <0.001
Diabetes No -


Yes 0.471 0.343, 0.646 <0.001
Depression No -


Yes 0.764 0.657, 0.887 <0.001
Joint Pain No -


Yes
2.699
2.305, 3.160
<0.001

The multiple logistic regression model for predicting consumption of omega-3 FA is presented in Table 5. In comparison to women from urban areas, women from rural areas were 0.865 (95% CI: 0.783, 0.955) time less likely to use omega-3 FA (p=0.004). Women who were current smokers were 0.602 (95% CI: 0.505, 0.717) times less likely to use omega-3 FA than non-smokers (p<0.001). The women who consulted a CAM practitioner were 1.612 (95% CI: 1.462, 1.779) times more likely to use omega-3 FA (p<0.001). The women with osteo-arthritis (OR=1.481; 95% CI: 1.297, 1.691) and joint pain (OR= 1.456; 95% CI: 1.306, 1.622) were more likely to use omega-3 FA (all p<0.001). Women who rated their general health as being excellent, very good or good were 1.288 (95% CI: 1.099, 1.510) times more likely to use omega-3 FA (p=0.002), compared to women who rated their general health as poor or fair.

Table 5.

Multiple logistic regression model for predicting consumption of omega3

Factor Odds Ratio 95% C.I. p-value
Area of Residence Urban -


Rural 0.865 0.783, 0.955 0.004
Smoking Status Non-smoker -


Current smoker 0.602 0.505, 0.717 <0.001
Consulted a CAM No -

Practitioner Yes 1.612 1.462, 1.779 <0.001
Osteo-arthritis No -


Yes 1.481 1.297, 1.691 <0.001
Joint Pain No -


Yes 1.456 1.306, 1.622 <0.001
General Health Fair / Poor -


Excellent / Very Good / Good
1.288
1.099, 1.510
0.002

Discussion

This paper reports the results of an analysis of the ALSWH dataset regarding the prevalence and profile of glucosamine and omega-3 FA use among mid-age Australian women. The research benefits from having such a large and nationally representative sample, based on probability sampling, and the findings further our understanding of the prevalence and characteristics of users of dietary supplements in Australia.

The study shows that the use of glucosamine and omega-3 FA is common among mid-age Australian women. Specifically, 15.9% and 26.8% of the study participants, who are aged between 55-60 years (at time of the 2007 survey), consume glucosamine and omega-3 FA respectively. These two prevalence rates are lower than the level of use (glucosamine 22.0%; omega-3 FA 32.6%) as recorded by previous studies using the 45 and Up Study dataset (10, 11). One possible explanation for this difference is the age of the participants surveyed across the two datasets. There is evidence that consumption of dietary supplements is associated with increased age (57., 58., 59.) and the previous literature reveal that 62% of participants of the 45 and Up Study are 60 years or over and these older Australians are 2.3 times more likely to consume glucosamine (1.8 times more likely in the case of omega-3 FA) than people aged below 60 (10, 11). Given that the ALSWH participants are younger in age (55-60 years at time of information collection), this difference in age between the two study populations may explain the variation in prevalence rates for glucosamine and omega-3 FA use.

Our analysis shows that use of glucosamine and omega-3 FA among mid-age Australian women is associated with higher education, annual income and private health insurance. These findings are consistent with results of previous studies on dietary supplements (10, 60., 61., 62., 11). This previous literature highlights the importance of socioeconomic factors (such as an ability to seek information/professional advice or afford the cost of dietary supplements) in determining the consumption of these two supplements. Like many dietary supplement products in Australia, glucosamine and omega-3 FA are not subsidised by the Pharmaceutical Benefits Scheme of the Federal Government and as such attract an added 10% goods and service tax. The relatively low prevalence of use of these two supplementations among Australian women with poor socio-economic status may reflect a disparity in access of health services and resources.

One of the important findings of this study is to highlight and provide empirical support to the link between use of glucosamine/omega-3 FA and consultation with a CAM practitioner. Our analysis indicates that women who visit a CAM practitioner are 1.4 times more likely to consume glucosamine (or 1.6 times more likely to consume omega- 3 FA) than women who do not consult a CAM practitioner. Dietary supplements such as glucosamine have long been promoted as a complementary medication or agent (63) and the result of this study underlines the important role of CAM practitioners in prescribing or recommending such supplements to patients. Previous research on prescription style and information needs regarding dietary supplements has focused exclusively upon conventional health professionals such as GPs and pharmacists (9). Our study suggests that there is a need for future investigation to also pay attention to the role of CAM practitioners in the prescription and safe use of nutritional supplements.

The findings of our study that use of glucosamine and omega-3 FA is associated with health conditions such as osteoarthritis and joint pain are also broadly in line with previous studies (10, 11) and the clinical evidence base for the two supplements (44, 15, 17, 22). Our analysis demonstrates that the use of glucosamine and omega-3 FA is associated with healthy lifestyles including not smoking and/or consuming less alcohol. The link of these two supplements use to such health conscious choices/practices highlights the use of glucosamine and omega-3 FA as a preventative practice alongside the treatment of specific health conditions. It would be useful for future studies to provide in-depth examination of the motivations of glucosamine and omega-3 FA users and the role of dietary supplements as a component of a healthy lifestyle approach combining the use of CAM, physical exercises and other nutritional supplementations.

Finally, regarding spatial distribution of consumption of dietary supplements, the finding from our study that omega-3 FA is higher in urban areas is consistent with results of our study in New South Wales (10). In contrast, our study finds no regional difference in the use of glucosamine. This finding is different from the analysis of the 45 and Up Study dataset which suggests a higher level of consumption of glucosamine among residents of rural areas as opposed to non-rural areas across New South Wales (11). Our findings add to the evidence-base on the geographical distribution of supplementary use and highlight the need for further investigation into the complexities of geographical variation in consumption of nutritional supplements.

The interpretation of our findings is limited by the fact that both information about health/disease conditions and omega-3 FA/glucosamine use are self-reported by the ALSWH participants and as such responses may be subjected to recall bias. Moreover, the association between particular health conditions with omega-3 FA/glucosamine use does not necessarily imply that these two dietary supplements have been used specifically for such conditions. Further studies are needed to illuminate the role of omega-3 FA and glucosamine in relation to these health problems.

Implications for Practice and/or Policy

The prevalence of use of omega-3 FA and glucosamine amongst mid-aged women is high. However, the evidence base for the effectiveness of glucosamine as a treatment for osteoarthritis remains inconclusive. Similarly, the evidence base for the effectiveness of omega-3 FA for the treatment of a number of chronic conditions is mixed. Health care practitioners need to acknowledge this high use of omega-3 FA and glucosamine amongst their patients and as such engage in conversation with their patients about the available evidence of effectiveness in treating particular conditions. Long-term use of these supplements can be a costly to patients and it is the health care practitioner who is in the best position to advise them regarding such use. The findings of this study also highlight areas of importance for future research, in particular why women seek out alternative forms of care for their chronic illnesses, and what information sources do they employ in making decision about their use of supplements.

Conclusion

This paper reports the findings of an analysis on the prevalence of use and profile of users of glucosamine and omega-3 FA amongst a nationally representative sample of women aged 56-61. Substantial prevalence rates for use of glucosamine and omega-3 FA amongst these women highlights the need for conventional health practitioners and policymakers to be mindful of the significant possible role of such supplement use within patient health seeking and community health behaviours.

Acknowledgments

The research on which this paper is based was conducted as part of the Australian Longitudinal Study on Women's Health, the University of Newcastle and the University of Queensland. We are grateful to the Australian Government Department of Health and Ageing for funding and to the women who provided the survey data.

Disclosure of interest:

There is no conflict of interest for the authors of this paper.

References

  • 1.Gahche J, Bailey R, Burt V, Hughes J, Yetley E, Dwyer J, Picciano MF, McDowell M, Sempos C. «Dietary Supplement Use Among U.S. Adults Has Increased Since NHANES III (1988–1994).». Centers for Disease Control and Prevention; Atlanta: 2011. [PubMed] [Google Scholar]
  • 2.Denison HJ, Jameson KA, Syddall HE, Dennison EM, Cooper C, Aihie Sayer A, Robinson SM. «Patterns of dietary supplement use among older men and women in the UK: findings from the Hertfordshire Cohort Study.». J Nutr Health Aging. 2012;16:307–311. doi: 10.1007/s12603-012-0016-1. 10.1007/s12603-012-0016-1 PubMed PMID: 22499447. [DOI] [PubMed] [Google Scholar]
  • 3.Schwab S, Heier M, Schneider A, Fischer B, Huth C, Peters A, Thorand B. The use of dietary supplements among older persons in southern Germany-results from the KORA-age study. Journal of Nutrition, Health and Aging. 2014;18(5):510–519. doi: 10.1007/s12603-013-0418-8. 10.1007/s12603-013-0418-8 PubMed PMID: 24886738. [DOI] [PubMed] [Google Scholar]
  • 4.Hale WA, Joubert JD, Kalula S. In: Understanding Global Health. Markle WH, Fisher MA, Raymond J, Smego A, editors. McGraw-Hill; New York: 2007. Aging populations and chronic illness; pp. 208–229. [Google Scholar]
  • 5.Nichter M, Thompson JJ «. For my wellness, not just my illness: North Americans’ use of dietary supplements. Cult Med Psychiatry. 2006;30:175–222. doi: 10.1007/s11013-006-9016-0. 10.1007/s11013-006-9016-0 PubMed PMID: 16841188. [DOI] [PubMed] [Google Scholar]
  • 6.Willison KD, Williams P, Andrews GJ «. Enhancing chronic disease management: a review of key issues and strategies. Complement Ther Clin Pract. 2007;13:232–239. doi: 10.1016/j.ctcp.2007.06.002. 10.1016/j.ctcp.2007.06.002 PubMed PMID: 17950178. [DOI] [PubMed] [Google Scholar]
  • 7.Barnes PM, Bloom B, Nahin RL, «Complementary and Alternative Medicine Use Among Adults and Children: United States, 2007 « U.S. Department of Health and Human Services, Division of Health Interview Statistics, Centers for Disease Control and Prevention, National Center for Health Statistics, Hyattsville, 2008
  • 8.Bacon CJ, Bolland MJ, Ames RW, Siu A, Mason BH, Horne AM, Grey A, Reid IR «. Prevalent dietary supplement use in older New Zealand men. N Z Med J. 2011;124:55–62. PubMed PMID: 21946878. [PubMed] [Google Scholar]
  • 9.Brown J, Morgan T, Adams J, Grunseit A, Toms M, Roufogalis B, Kotsirilos V, Pirotta M, Williamson M «, Complementary Medicines Information Use and Needs of Health Professionals: General Practitioners and Pharmacists. Aust Prescr, 2008
  • 10.Adams J, Sibbritt D, Lui CW, Broom A, Wardle J «, Omega-3 supplement use: A secondary analysis of 266,848 Australians aged 45 years and older. BMJ Open, 2013
  • 11.Sibbritt D, Adams J, Lui CW, Broom A, Wardle J «. Who uses glucosamine and why? A study of 266,848 australians aged 45 years and older. PLoS One. 2012;7:e41540. doi: 10.1371/journal.pone.0041540. 10.1371/journal.pone.0041540 PubMed PMID: 22859995, PMCID 3408465. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Dahmer S, Schiller RM «. Glucosamine. Am Fam Physician. 2008;78:471–476. PubMed PMID: 18756654. [PubMed] [Google Scholar]
  • 13.Dieppe P, Chard J «. Glucosamine for osteoarthritis: magic, hype, or confusion? Br Med J. 2001;322:1439–1440. doi: 10.1136/bmj.322.7300.1439. 10.1136/bmj.322.7300.1439 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Herman CJ, Allen P, Hunt WC, Prasad A, Brady TJ «. Use of complementary therapies among primary care clinic patients with arthritis. Prev Chronic Dis. 2004;1:A12. PubMed PMID: 15670444, PMCID 1277952. [PMC free article] [PubMed] [Google Scholar]
  • 15.Black C, Clar C, Henderson R, Maceachern C, McNamee P, Quayyum Z, Royle P, Thomas S «. The clinical effectiveness of glucosamine and chondroitin supplements in slowing or arresting progression of osteoarthritis of the knee: a systematic review and economic evaluation. Health Technol Assess. 2009;13:1–148. doi: 10.3310/hta13520. 10.3310/hta13520 PubMed PMID: 19903416. [DOI] [PubMed] [Google Scholar]
  • 16.Block JA, Oegema TR, Sandy J D, Plaas A «. The effects of oral glucosamine on joint health: is a change in research approach needed. Osteoarthr. Cartil. 2010;18:5–11. doi: 10.1016/j.joca.2009.07.005. 10.1016/j.joca.2009.07.005 PubMed PMID: 19733270. [DOI] [PubMed] [Google Scholar]
  • 17.Henrotin Y, Mobasheri A, Marty M «. Is there any scientific evidence for the use of glucosamine in the management of human osteoarthritis. Arthritis Res Ther. 2012;14:201. doi: 10.1186/ar3657. 10.1186/ar3657 PubMed PMID: 22293240, PMCID 3392795. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.McAlindon TE, LaValley MP, Gulin JP, Felson DT «. Glucosamine and chondroitin for treatment of osteoarthritis: A systematic quality assessment and meta-analysis. J Am Med Assoc. 2000;283:1469–1475. doi: 10.1001/jama.283.11.1469. 10.1001/jama.283.11.1469 [DOI] [PubMed] [Google Scholar]
  • 19.Poolsup N, Suthisisang C, Channark P, Kittikulsuth W «. Glucosamine longterm treatment and the progression of knee oesteoarthritis: systematic review of randomized controlled trials. Ann Pharmacother. 2005;39:1080–1087. doi: 10.1345/aph.1E576. 10.1345/aph.1E576 PubMed PMID: 15855241. [DOI] [PubMed] [Google Scholar]
  • 20.Richy F, Bruyere O, Ethgen O, Cucherat M, Henrotin Y, Reginster JY «. Structural and symptomatic efficacy of glucosamine and chondroitin in knee osteoarthritis: a comprehensive meta-analysis. Arch Intern Med. 2003;163:1514–1522. doi: 10.1001/archinte.163.13.1514. 10.1001/archinte.163.13.1514 PubMed PMID: 12860572. [DOI] [PubMed] [Google Scholar]
  • 21.Towheed T, Maxwell L, Anastassiades TP, Shea B, Houpt JB, Welch V, Hochberg MC, Wells GA «, Glucosamine therapy for treating osteoarthritis. Cochrane Database Syst Rev, 2005 [DOI] [PMC free article] [PubMed]
  • 22.Wandel S, Juni P, Tendal B, Nuesch E, Villiger PM, Welton NJ, Reichenbach S, Trelle S «. Effects of glucosamine, chondroitin, or placebo in patients with osteoarthritis of hip or knee: network meta-analysis. Br Med J. 2010;340:c4675. doi: 10.1136/bmj.c4675. 10.1136/bmj.c4675 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Aghazadeh-Habashi A, Jamali F «. The glucosamine controversy; a pharmacokinetic issue. J Pharm Pharm Sci. 2011;14:264–273. doi: 10.18433/j3xg6f. 10.18433/J3XG6F PubMed PMID: 21733414. [DOI] [PubMed] [Google Scholar]
  • 24.Vlad SC, La Valley MP, McAlindon TE, Felson DT «. Glucosamine for pain in osteoarthritis: why do trial results differ. Arthritis Rheum. 2007;56:2267–2277. doi: 10.1002/art.22728. 10.1002/art.22728 PubMed PMID: 17599746. [DOI] [PubMed] [Google Scholar]
  • 25.Brinson BE, Miller S «. Fish oil: what is the role in cardiovascular health. J Pharm Pract. 2012;25:69–74. doi: 10.1177/0897190011406983. 10.1177/0897190011406983 PubMed PMID: 21676848. [DOI] [PubMed] [Google Scholar]
  • 26.Cabo J, Alonso R, Mata P «. Omega-3 fatty acids and blood pressure. Br J Nutr. 2012;107(2):S195–S200. doi: 10.1017/S0007114512001584. 10.1017/S0007114512001584 PubMed PMID: 22591893. [DOI] [PubMed] [Google Scholar]
  • 27.Chowdhury R, Stevens S, Gorman D, Pan A, Warnakula S, Chowdhury S, Ward H, Johnson L, Crowe F, Hu FB, Franco OH «, Association between fish consumption, long chain omega 3 fatty acids, and risk of cerebrovascular disease: Systematic review and meta-analysis. BMJ, 2012, 345 [DOI] [PMC free article] [PubMed]
  • 28.Delgado-Lista J, Perez-Martinez P, Lopez-Miranda J, Perez-Jimenez F «. Long chain omega-3 fatty acids and cardiovascular disease: a systematic review. Br J Nutr. 2012;107(2):S201–S213. doi: 10.1017/S0007114512001596. 10.1017/S0007114512001596 PubMed PMID: 22591894. [DOI] [PubMed] [Google Scholar]
  • 29.Filion KB, El Khoury F, Bielinski M, Schiller I, Dendukuri N, Brophy JM «, Omega-3 fatty acids in high-risk cardiovascular patients: a meta-analysis of randomized controlled trials. BMC Cardiovasc Disord, 2010, 10 [DOI] [PMC free article] [PubMed]
  • 30.Kromhout D, Yasuda S, Geleijnse JM, Shimokawa H «. Fish oil and omega-3 fatty acids in cardiovascular disease: do they really work. Eur Heart J. 2012;33:436–443. doi: 10.1093/eurheartj/ehr362. 10.1093/eurheartj/ehr362 PubMed PMID: 21933782. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Mozaffarian D, Wu JH «. Omega-3 fatty acids and cardiovascular disease: effects on risk factors, molecular pathways, and clinical events. J Am Coll Cardiol. 2011;58:2047–2067. doi: 10.1016/j.jacc.2011.06.063. 10.1016/j.jacc.2011.06.063 PubMed PMID: 22051327. [DOI] [PubMed] [Google Scholar]
  • 32.Tur JA, Bibiloni MM, Sureda A, Pons A «. Dietary sources of omega 3 fatty acids: public health risks and benefits. Br J Nutr. 2012;107(2):S23–S52. doi: 10.1017/S0007114512001456. 10.1017/S0007114512001456 PubMed PMID: 22591897. [DOI] [PubMed] [Google Scholar]
  • 33.Wang C, Harris WS, Chung M, Lichtenstein AH, Balk EM, Kupelnick B, Jordan HS, Lau J «. N-3 Fatty acids from fish or fish-oil supplements, but not alpha-linolenic acid, benefit cardiovascular disease outcomes in primary- and secondary-prevention studies: a systematic review. Am J Clin Nutr. 2006;84:5–17. doi: 10.1093/ajcn/84.1.5. PubMed PMID: 16825676. [DOI] [PubMed] [Google Scholar]
  • 34.Rizos EC, Ntzani EE, Bika E, Kostapanos MS, Elisaf MS «. Association between omega-3 fatty acid supplementation and risk of major cardiovascular disease events: a systematic review and meta-analysis. JAMA. 2012;308:1024–1033. doi: 10.1001/2012.jama.11374. 10.1001/2012.jama.11374 PubMed PMID: 22968891. [DOI] [PubMed] [Google Scholar]
  • 35.National Heart Foundation of Australia. «. Position Statement: Fish, Fsh Oils, n-3 Polyunsaturated Fatty Acids and Cardiovascular Health. National Heart Foundation of Australia, Sydney, 2008
  • 36.Silva Jde A, Trindade EB, Fabre ME, Menegotto VM, Gevaerd S, Buss Zda S, Frode TS «. Fish oil supplement alters markers of inflammatory and nutritional status in colorectal cancer patients. Nutr Cancer. 2012;64:267–273. doi: 10.1080/01635581.2012.643133. 10.1080/01635581.2012.643133 PubMed PMID: 22295891. [DOI] [PubMed] [Google Scholar]
  • 37.Colomera R, Moreno-Nogueiraa JM, García-Lunaa PP, García-Perisa P, García-de-Lorenzoa A, Zarazagaa A, Quecedoa L, del Llanoa J, Usána L, Casimiroa C «. N-3 fatty acids, cancer and cachexia: a systematic review of the literature. Br J Nutr. 2007;97:823–831. doi: 10.1017/S000711450765795X. 10.1017/S000711450765795X [DOI] [PubMed] [Google Scholar]
  • 38.Gerber M «. Omega-3 fatty acids and cancers: a systematic update review of epidemiological studies. Br J Nutr. 2012;107:S228–S239. doi: 10.1017/S0007114512001614. 10.1017/S0007114512001614 PubMed PMID: 22591896. [DOI] [PubMed] [Google Scholar]
  • 39.Akter K, Gallo DA, Martin SA, Myronyuk N, Roberts RT, Stercula K, Raffa RB «. A review of the possible role of the essential fatty acids and fish oils in the aetiology, prevention or pharmacotherapy of schizophrenia. J Clin Pharm Ther. 2012;37:132–139. doi: 10.1111/j.1365-2710.2011.01265.x. 10.1111/j.1365-2710.2011.01265.x PubMed PMID: 21501206. [DOI] [PubMed] [Google Scholar]
  • 40.Lin PY, Su KP «. A meta-analytic review of double-blind, placebo-controlled trials of antidepressant efficacy of Omega-3 fatty acids. J Clin Psychiatry. 2007;68:1056–1061. doi: 10.4088/jcp.v68n0712. 10.4088/JCP.v68n0712 PubMed PMID: 17685742. [DOI] [PubMed] [Google Scholar]
  • 41.Montgomery P, Richardson AJ «, Omega-3 fatty acids for bipolar disorder. Cochrane Database Syst Rev, 2008 [DOI] [PMC free article] [PubMed]
  • 42.Thien FCK, De Luca S, Woods RK, Abramson MJ «, Dietary marine fatty acids (fish oil) for asthma in adults and children. Cochrane Database Syst Rev, 2002 [DOI] [PubMed]
  • 43.Oliver C, Everard M, N’Diaye T «, Omega-3 fatty acids (from fish oils) for cystic fibrosis. Cochrane Database Syst Rev, 2007 [DOI] [PubMed]
  • 44.Agency for Healthcare ResearchQuality. «. Effects of omega-3 fatty acids on lipids and glycemic control in type II diabetes and the metabolic syndrome and on inflammatory bowel disease, rheumatoid arthritis, renal disease, systemic lupus erythematosus, and osteoporosis. Agency for Healthcare Research and Quality, Rockville, 2004 [PMC free article] [PubMed]
  • 45.James S, Montgomery P, Williams K «, Omega-3 fatty acids supplementation for autism spectrum disorders (ASD). Cochrane Database Syst Rev, 2011 [DOI] [PMC free article] [PubMed]
  • 46.Sydenham E, Dangour AD, Lim WS «, Omega 3 fatty acid for the prevention of cognitive decline and dementia. Cochrane Database Syst Rev, 2012 [DOI] [PMC free article] [PubMed]
  • 47.Braun LA, Tiralongo E, Wilkinson JM, Spitzer O, Bailey M, Poole S, Dooley M «, Perceptions, use and attitudes of pharmacy customers on complementary medicines and pharmacy practice. BMC Complement Altern Med, 2010, 10 [DOI] [PMC free article] [PubMed]
  • 48.Morgan TK, Williamson M, Pirotta M, Stewart K, Myers SP, Barnes J «. A national census of medicines use: a 24-hour snapshot of Australians aged 50 years and older. Med J Aust. 2012;196:50–53. doi: 10.5694/mja11.10698. 10.5694/mja11.10698 PubMed PMID: 22256935. [DOI] [PubMed] [Google Scholar]
  • 49.Wilkinson JM, Jelinek H «. Complementary medicine use among attendees at a rural health screening clinic. Complement Ther Clin Pract. 2009;15:80–84. doi: 10.1016/j.ctcp.2008.12.005. 10.1016/j.ctcp.2008.12.005 PubMed PMID: 19341985. [DOI] [PubMed] [Google Scholar]
  • 50.Wu CH, Wang CC, Kennedy J «. Changes in Herb and Dietary Supplement Use in the US Adult Population: A Comparison of the 2002 and 2007 National Health Interview Surveys. Clin Ther. 2011;33:1749–1758. doi: 10.1016/j.clinthera.2011.09.024. 10.1016/j.clinthera.2011.09.024 PubMed PMID: 22030445. [DOI] [PubMed] [Google Scholar]
  • 51.Hopman WM, Towheed TE, Gao Y, Berger C, Joseph L, Vik SA, Hanley DA, Carran J, Anastassiades T «. Prevalence of and factors associated with glucosamine use in Canada. Osteoarthr. Cartil. 2006;14:1288–1293. doi: 10.1016/j.joca.2006.06.003. 10.1016/j.joca.2006.06.003 PubMed PMID: 16831560. [DOI] [PubMed] [Google Scholar]
  • 52.Brown WJ, Dobson AJ, Bryson L, Byles JE «. Women’s Health Australia: on the progress of the main study cohorts. J Womens Health Gend Based Med. 1999;8:681–688. doi: 10.1089/jwh.1.1999.8.681. 10.1089/jwh.1.1999.8.681 PubMed PMID: 10839654. [DOI] [PubMed] [Google Scholar]
  • 53.Brown WJ, Bryson L, Byles JE, Dobson AJ, Lee C, Mishra G, Schofield M «. Women’s Health Australia: recruitment for a national longitudinal cohort study. Women Health. 1998;28:23–40. doi: 10.1300/j013v28n01_03. 10.1300/J013v28n01_03 PubMed PMID: 10022055. [DOI] [PubMed] [Google Scholar]
  • 54.Australian Institute of HealthWelfare. «. National Health Data Dictionary: Version 6.0 Standard Questions on the Use of Tobacco among Adults. Australian Institute of Health and Welfare, Canberra, 1997
  • 55.National HealthMedical Research Council of Australia. «. Australia Alcohol Guidelines: Health Risks and Benefits. National Health and Medical Research Council of Australia, Canberra, 2001
  • 56.World Health Organization. «. Guideline for ATC Classification and DD Assignment. World Health Organization, Geneva, 2011
  • 57.Bailey RL, Gahche JJ, Lentino CV, Dwyer JT, Engel JS, Thomas PR, Betz JM, Sempos CT, Picciano MF «. Dietary Supplement Use in the United States, 2003–2006. J Nutr. 2011;141:261–266. doi: 10.3945/jn.110.133025. 10.3945/jn.110.133025 PubMed PMID: 21178089. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Radimer K, Bindewald B, Hughes J, Ervin B, Swanson C, Picciano MF «. Dietary supplement use by US adults: data from the National Health and Nutrition Examination Survey, 1999-2000. Am J Epidemiol. 2004;160:339–349. doi: 10.1093/aje/kwh207. 10.1093/aje/kwh207 PubMed PMID: 15286019. [DOI] [PubMed] [Google Scholar]
  • 59.Timbo BB, Ross MP, McCarthy PV, Lin CT «. Dietary supplements in a national survey: Prevalence of use and reports of adverse events. J Am Diet Assoc. 2006;106:1966–1974. doi: 10.1016/j.jada.2006.09.002. 10.1016/j.jada.2006.09.002 PubMed PMID: 17126626. [DOI] [PubMed] [Google Scholar]
  • 60.Balluz LS, Kieszak SM, Philen RM, Mulinare J «. Vitamin and mineral supplement use in the United States. Arch Fam Med. 2000;9:258–262. doi: 10.1001/archfami.9.3.258. 10.1001/archfami.9.3.258 PubMed PMID: 10728113. [DOI] [PubMed] [Google Scholar]
  • 61.Fennell D «. Determinants of supplement usage. Prev Med. 2004;39:932–939. doi: 10.1016/j.ypmed.2004.03.031. 10.1016/j.ypmed.2004.03.031 PubMed PMID: 15475026. [DOI] [PubMed] [Google Scholar]
  • 62.Picciano MF, Dwyer JT, Radimer KL, Wilson DH, Fisher KD, Thomas PR, Yetley EA, Moshfegh AJ, Levy PS, Nielsen SJ, Marriott BM «. Dietary supplement use among infants, children, and adolescents in the United States, 1999-2002. Arch Pediatr Adolesc Med. 2007;161:978–985. doi: 10.1001/archpedi.161.10.978. 10.1001/archpedi.161.10.978 PubMed PMID: 17909142. [DOI] [PubMed] [Google Scholar]
  • 63.Sherman AL, Ojeda-Correal G, Mena J «. Use of glucosamine and chondroitin in persons with osteoarthritis. PM R. 2012;4:S110–S116. doi: 10.1016/j.pmrj.2012.02.021. 10.1016/j.pmrj.2012.02.021 PubMed PMID: 22632689. [DOI] [PubMed] [Google Scholar]

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