Next Article in Journal
Are Selected Cytokines and Epstein–Barr Virus DNA Load Predictors of Hepatological Complications of Epstein–Barr Virus Infection in Children?
Next Article in Special Issue
Clinical Significance of Discordance between Hip and Spine Bone Mineral Density in Korean Elderly Patients with Hip Fractures
Previous Article in Journal
Back Extensor Strength as a Potential Marker of Frailty Using Propensity Score Matching and Machine Learning
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Brief Report

Assessment of Awareness and Knowledge about Osteoporosis in Relation to Health Prevention among Patients Treated in Osteoporosis Clinics

1
Department of Medical Informatics and Statistics with e-Health Lab, Medical University of Lublin, 20-059 Lublin, Poland
2
School of Public Health, Centre of Postgraduate Medical Education of Warsaw, 01-813 Warsaw, Poland
3
Department of General and Pediatric Ophtalmology, Medical University of Lublin, 20-059 Lublin, Poland
4
Faculty of Medicine, Medical University of Lublin, 20-059 Lublin, Poland
5
Department of Social Medicine and Public Health, Warsaw Medical University, 02-007 Warsaw, Poland
6
Department of Environmental Hazards Prevention, Allergology and Immunology, Medical University of Warsaw, 02-091 Warsaw, Poland
7
Department of Pharmacology and Clinical Pharmacology, Faculty of Medicine, Collegium Medicum, Cardinal Stefan Wyszyński University, 01-815 Warsaw, Poland
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2023, 12(19), 6157; https://doi.org/10.3390/jcm12196157
Submission received: 8 August 2023 / Revised: 19 September 2023 / Accepted: 22 September 2023 / Published: 24 September 2023
(This article belongs to the Special Issue Diagnosis, Treatment, Prevention and Rehabilitation in Osteoporosis)

Abstract

:
The increasing incidence of osteoporosis indicates that the disease is a serious public health problem, with about 200 million people being affected worldwide. The aims of this research are to assess the awareness and knowledge about osteoporosis in relation to risk factors, health condition, supplementation used, socio-demographic factors and other variables among osteoporosis patients. The study was conducted in 2016–2018 in osteoporosis clinics in Poland. The study involved 312 patients with a diagnosis of osteoporosis. In the diagnostic survey method, the authors’ own questionnaire was used. The results indicate that the more frequent the symptoms associated with the disease, the lower the general self-assessment of the health condition of the respondents (rho = −0.682, p < 0.001). In addition, almost half of the respondents stated that their knowledge of osteoporosis is negligible. Moreover, the use of dietary supplements significantly differentiated respondents in terms of health self-assessed (p < 0.001), and it is noteworthy that users of dietary supplements assessed their health significantly better. We also saw a statistically significant relationship between the self-assessment of knowledge about osteoporosis and the use of dietary supplements (p < 0.001). Accordingly, significantly more respondents rating their knowledge as good or very good used dietary supplements. The conducted study demonstrates the need to educate patients and implement educational programs at central and provincial levels to improve patient knowledge concerning the disease. Supporting adaptation to chronic diseases and appropriate therapeutic management may contribute to improved osteoporosis treatment and enhanced patient quality of life.

1. Introduction

Osteoporosis is currently a major health and socioeconomic problem [1,2,3]. Epidemiological data indicate that osteoporosis is one of the most frequent chronic diseases, with about 200 million people being affected worldwide, including every third post-menopausal woman, as well as most elderly people over 70 years of age [4].
Osteoporosis is often asymptomatic, causing painless deterioration of the skeletal system through progressive destruction of bone mass. A noticeable symptom of the disease, however, is usually an osteoporotic fracture, indicating advancement of the disease [5,6]. One of the divisions of osteoporosis distinguishes between two types: primary and secondary osteoporosis [7].
Primary osteoporosis includes idiopathic and involutional osteoporoses. Idiopathic osteoporosis occurs in children and adolescents, and leads to fractures [8,9]. Suggested causes involve endocrine basis, vitamin D deficiency, an infectious agent, immunological disorders and genetic factors [10,11,12]. The second type of primary osteoporosis, the most frequent, is involutional osteoporosis. This is closely related to the aging process, when the bone metabolism processes are disturbed and, as a consequence, the appearance of osteopenia is accelerated [13,14]. Involutional osteoporosis has been divided into two types. The first type is post-menopausal osteoporosis due to estrogen deficiency, and it mainly affects the spongy bone [15,16]. The second type is senile osteoporosis, which involves the loss of bone mass due to the aging of the cortical and spongy bone [17,18,19]. Primary osteoporosis most commonly develops in postmenopausal women (~25%) and less commonly in elderly men [20]. The following factors are considered to play a key role in the occurrence of osteoporosis: genetic factors, hormonal balance, diet, physical activity and care for health during the growth process [21,22,23,24].
Secondary osteoporosis is caused by factors other than the natural aging and menopausal processes [25]. It can result from taking certain groups of medications, which include glucocorticosteroids, anti-epileptic drugs, heparin, thyroid hormones, aluminium-containing gastric suppressants, sedatives, oral anticoagulants, antituberculosis drugs, chemotherapeutics, tetracyclines and diuretics [26,27]. The above-mentioned medications increase the risk of developing the condition, and iatrogenic secondary osteoporosis caused by chronic glucocorticosteroid use is considered the most common secondary osteoporosis [28,29]. The appearance of secondary osteoporosis can also be favored by certain diseases, for example hyperthyroidism, hyperparathyroidism, rheumatic diseases, diabetes, and malabsorption syndrome [30,31,32,33].
Age is the dominant risk factor for osteoporotic fractures [34,35]. It is estimated that approximately 90% of all bone fractures occur in patients over the age of 60 [36,37]. In the perspective of an aging population, it becomes important to take action to prevent the condition and to raise health awareness of osteoporosis risk factors.
The aim of this research is to assess the awareness and knowledge about osteoporosis in relation to risk factors, health condition and factors that have the greatest impact on the health condition of people suffering from osteoporosis. Accordingly, a detailed analysis of the above aspect includes correlations regarding the frequency of ailments related to the disease, supplementation used and socio-demographic variables.

2. Materials and Methods

The study was conducted in 2016–2018, in five osteoporosis clinics in the Lubelskie macroregion, in eastern Poland. The study involved 312 patients with a diagnosis of osteoporosis. Inclusion criteria established prior to the start of it included patients who were treated for osteoporosis for at least one year who were 45 years of age or older and provided informed consent to participate in the study. The study design was cross-sectional and was a part of a scientific project carried out in 2016–2019 in the Lubelskie macroregion for patients treated for osteoporosis. The research method was a diagnostic survey in which a self-designed questionnaire was used. It was created according to the survey method commonly employed for analyses of the relationships between variables. This questionnaire included questions about sociodemographic data, health self-assessment, supplementation, knowledge about osteoporosis and osteoporosis prevention, comorbidities, ailments, treatment time and methods used for osteoporosis diagnosis. After a pilot study, the questionnaire was evaluated and modified.
Selection of respondents was random and purposive. The indispensable element of randomness was introduced by inviting every second applicant for the study. Based on the estimations (the study population for Poland is approximately 4 million and the sample size is 312), appropriate calculations were performed associated with the selection of the sample. Assuming a confidence interval of 95%, the maximum error was 6%. This means that with an only 5% risk of error, it may be estimated that a given result in the examined population may reflect a figure 6% higher or lower than for the total population.

2.1. Ethical Issues

This study was performed in line with the principles of the Declaration of Helsinki. Participants were informed of the purpose and anonymity of the study being conducted and provided written informed consent to participate. Approval was granted by the Ethics Committee Medical University of Lublin (decision nr:KE-0254/175/2016).

2.2. Statistical Analysis

Analysis of results was performed using Statistica v.13 software (StatSoft, Cracow, Poland). Continuous variables were reported as means (M) ± standard deviation (SD), and minimum (MIN)–maximum (MAX) range. Mann–Whitney U test, Spearman correlation coefficient and Chi-2 test were employed to determine the relationship between variables. Before the tests were applied, assumptions on the normality of distribution were verified by means of the Shapiro–Wilk test.

3. Results

The study included 312 respondents treated for osteoporosis. The data imply the respondents were in the age range of 45–88 years old. The average age of the study group was 62.76 years ± 9.13. The vast majority were women (91.7%, n = 286). Men accounted for the remaining 8.3% of the study group (n = 26). Most of the respondents lived in the city (61.5%, n = 192), while 38.5% lived in the countryside (n = 120). The study group was dominated by people with vocational (27.6%, n = 86), secondary (25%, n = 78) and higher (22.1%, n = 69) education.
On analysis of current employment status in the study group, it was found out that slightly over half of all respondents (56.1%, n = 175) were retired people and pensioners. Almost every fourth respondent (22.4%, n = 70) was a white-collar worker, while the least numerous group consisted of manual workers (16.3%, n = 51) and the unemployed (5.1%, n = 16). The criterion for inclusion in the study was treatment for osteoporosis for more than 1 year. More than half of the respondents were treated for osteoporosis from 1 to 5 years (62.9%). In turn, 27.6% of all patients were under treatment for 6 to 10 years. The least numerous group (9.6%) were people suffering from osteoporosis for more than 10 years.
Most of the surveyed were diagnosed with at least one additional disease (apart from osteoporosis). The greatest number of respondents indicated that they had type I diabetes (26.3%) and rheumatoid arthritis (24%), while every tenth examined person suffered from chronic liver disease. Hypogonadism or premature menopause before the age of 45 were indicated by 6.7% of the respondents, and similarly untreated long-term hyperthyroidism—by 6.1% of the respondents. Other conditions (congenital bone fracture, chronic malnutrition or malabsorption syndrome, other chronic diseases) were significantly less frequent.
Half of the respondents indicated that the onset of osteoporosis was influenced by their age over 50 years (50.5%). Nearly half considered calcium deficiency in the body as the cause of the disease (46.6%). There were also many people indicating the consumption of large amounts of tea and coffee (42.4%), family predispositions (40.8%), excessive physical effort (38.8%), small body build (36.9%), smoking (36.9%) and vitamin D3 deficiency (32.4%).
Slightly more than half of the respondents assessed their health condition as good (56.4%). However, a significant percentage of patients also rated their health as bad (38.5%). Only a few respondents indicated that their health was very good (3.8%) or very bad (1.3%).
Self-assessment of health is negatively and very strongly correlated with the frequency of osteoporosis-related symptoms (rho = −0.682, p < 0.001). The more frequent the symptoms associated with the disease, the lower the general self-assessment of health condition of the respondents. The trend is clear and very strong. It is also worth noting that people with daily symptoms assessed their health significantly worse. This included the largest percentage of respondents, who indicated that the ailments associated with osteoporosis occur every day (Table 1).
Use of (any) dietary supplements significantly differentiated respondents in terms of self-assessed health (Z = −1.638, p < 0.001). It is noteworthy that users of dietary supplements assessed their health significantly better, as good (57.3%) or very good (4.4%).
Almost half of the respondents stated that their knowledge of osteoporosis is negligible (47.4%). Every third respondent assessed it as good (33.3%), while 13.8% determined their knowledge as very good, and the remaining 5.5% of respondents declared a complete lack of knowledge about osteoporosis.
When asked about sources of knowledge about osteoporosis, respondents most often pointed to healthcare professionals (28.5%). For many respondents, mass media (24.7%) and books/magazines (21.2%) were sources of information. One in ten respondents gained knowledge of the disease from friends (10.9%) or other sick people (6.4%) and a small proportion of respondents declared that they were not interested in the subject (8.3%).
There was a statistically significant relationship between the self-assessment of knowledge about osteoporosis and the sources from which the respondents obtained knowledge on this subject (p < 0.001). The analysis shows that the respondents assessing their knowledge as good or very good most often derived it from healthcare professionals (49.7%), and less often from books/magazines or mass media (27.9%).
There was a statistically significant relationship between the self-assessment of knowledge about osteoporosis and the use of dietary supplements (p < 0.001). Accordingly, significantly more respondents rating their knowledge as good or very good (98%) used dietary supplements.
There were statistically significant relationships between the self-assessment of knowledge about osteoporosis and the use of certain dietary supplements (correlations at p < 0.001). All the analyzed categories of supplements were taken by statistically significantly more people assessing their knowledge about osteoporosis as very good or good than by those assessing their knowledge as negligible or declaring its complete lack (Table 2).
There was a statistically significant relationship between the assessment of the state of knowledge about osteoporosis and the assessment of the financial situation of the respondents (p < 0.001). The vast majority of people who assessed their financial situation as very good declared very good or good knowledge about osteoporosis (91.9%).
The analysis showed that there was a statistically significant relationship between the self-assessment of knowledge about osteoporosis and the respondents’ level of education (p < 0.001). The vast majority of respondents with higher education declared very good or good knowledge about osteoporosis (95.7%). In contrast, only half of respondents with secondary education, one in three with post-secondary education (32.7%), and only one in five with primary (23.3%) or lower secondary (20%) education had knowledge at this level.
Statistical analysis showed that respondent sex (p < 0.072) and age (p < 0.522) did not affect self-assessment of knowledge about osteoporosis. There was also no relationship with place of residence (Z = −0.835, p < 0.455).

4. Discussion

The study showed that most patients diagnosed with osteoporosis also suffer from other chronic diseases, with diabetes and rheumatoid arthritis being the most common comorbidities in the studied population. This finding is consistent with the results of numerous scientific papers that have found an association between osteoporosis and hypertension [38], diabetes [38,39], metabolic syndrome [40] and rheumatic diseases [41].
In a study by Janiszewska et al., the respondents most frequently indicated older age (89.4%), menopause (85.4%) and a diet low in calcium (77.6%) as risk factors for osteoporosis [42]. In the Lebanese population, older age (81.8%), a diet low in calcium (81.8%) and vitamin D3 deficiency (79.3%) were most commonly indicated [38]. In a study by Hammoudeh et al., low calcium intake (96.7%), older age (89.5%) and a family history of osteoporosis (86.0%) were the most commonly selected [43]. Egyptian respondents most frequently indicated female gender (48.4%), older age (29.8%) and low calcium content in the diet (5.7%) [44]. In our own study, the following were most often indicated: older age (50.5%), calcium deficiency in the diet (46.6%) and consumption of large amounts of tea and coffee (42.4%), while menopause was relatively rarely associated with this disease (22.3%). Based on the above results, it can be concluded that osteoporosis is associated in society with being elderly and following a diet low in calcium. A relatively small percentage of respondents also associated cigarette smoking and caffeine consumption with osteoporosis [38,42,44].
Dietary supplements containing calcium and vitamin D have been the subject of numerous studies that have shown their positive effect on bone structure [45,46,47]. In contrast, magnesium supplementation remains a controversial issue due to reports of negative effects of higher doses of this macronutrient on bones [45,48,49]. On the basis of our own research, we found that patients with osteoporosis who use supplements better assessed their health and knowledge about the disease. These individuals most often used calcium and phosphorus preparations (71.2%), vitamin D (70.5%) and magnesium (37.8%). In other studies, calcium was most often supplemented, and the percentage of people supplementing it is also increasing over time [38,46,50].
Based on the conducted study, it was found that the main source of information on osteoporosis for the respondents are healthcare professionals and the mass media. The first group felt better informed. On the basis of studies by Ahmadieh et al. [38], Hammoudeh et al. [43] and Ribeiro et al. [50], the same conclusions can be drawn. In view of the above, attention should be paid to the need to increase the education of patients by healthcare workers. Osteoporosis prevention is becoming more important in the face of the progressive aging of society. Despite the significant impact of osteoporosis on the health and quality of life of older people, many medical entities lack knowledge about the issue of osteoporosis, which leads to insufficient patient care [51]. Understanding the factors that influence preventive measures is of key importance for the prevention of osteoporosis at the population level.
Limitations of the study should be indicated. The first may be the lack of access to patients’ medical records; it would allow for a detailed analysis of other medical aspects and their possible impact on the health status and self-assessment of patient knowledge. The second may be the lack of classification of patients according to the severity of osteoporosis, the assessment of fractures and the therapies used. These limitations warrant further research in chronic diseases such as osteoporosis.

5. Conclusions

The analysis of the awareness and knowledge of patients treated for osteoporosis indicates that a very important aspect in the prevention of osteoporosis is the health education of patients. Self-assessment of knowledge about the disease significantly differentiated the intake of dietary supplements and was associated with sociodemographic characteristics such as respondent education and financial situation. A factor influencing respondent ability to function was their individual perception of their own health related to the frequency of pain complaints. The conducted study demonstrates the need to educate patients and implement educational programs at central and provincial levels to improve patient knowledge concerning the disease. Supporting adaptation to chronic diseases such as osteoporosis and appropriate therapeutic management may contribute to improved osteoporosis treatment, reduced pain and enhanced patient quality of life.

Author Contributions

Conceptualization, A.B. and B.D.; methodology, K.W.; software, M.M. and M.B.; validation, A.B., B.D. and U.R.; formal analysis, J.D.-S.; investigation, A.B. and U.R.; resources, M.M.; M.B. and P.M.; data curation, A.K.; writing—original draft preparation, A.B. and K.W.; writing—review and editing, P.M.; visualization, A.B.; supervision, R.R. and U.R.; project administration, R.R. and P.M.; funding acquisition, J.D.-S. and B.D. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and approved by the or Ethics Committee of Committee Medical University of Lublin (decision nr:KE-0254/175/2016).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Zhang, L. Status Quo and Challenge of Osteoporotic Fracture in the Elderly. Chin. J. Mult. Organ. Dis. Elderly 2020, 19, 4. [Google Scholar]
  2. Hernlund, E.; Svedbom, A.; Ivergard, M.; Compston, J.; Cooper, C.; Stenmark, J.; McCloskey, E.V.; Jönsson, B.; Kanis, J.A. Osteoporosis in the European Union: Medical management, epidemiology and economic burden. A report prepared in collaboration with the International Osteoporosis Foundation (IOF) and the European Federation of Pharmaceutical Industry Associations (EFPIA). Arch. Osteoporos. 2013, 8, 136. [Google Scholar] [CrossRef] [PubMed]
  3. Bouvard, B.; Annweiler, C.; Legrand, E. Osteoporosis in older adults. Jt. Bone Spine 2022, 88, 105–135. [Google Scholar] [CrossRef] [PubMed]
  4. Clynes, M.A.; Harvey, N.C.; Curtis, E.M.; Fuggle, N.R.; Dennison, E.M.; Cooper, C. The epidemiology of osteoporosis. Br. Med. Bull. 2020, 133, 105–117. [Google Scholar] [CrossRef]
  5. Ensrud, K.E.; Crandall, C.J. Osteoporosis. Ann. Intern. Med. 2017, 167, ITC17–ITC32. [Google Scholar] [CrossRef]
  6. Dandekeri, S.; Selvakumar, R.; Chandran, A.; Patil, A.; Harini, T.; Verma, D.; Babu, J.; Swarnalatha, C.; Nayyar, A. Osteoporosis risk group: Screening for osteoporosis in dental clinics using panoramic radiographs. J. Educ. Health Promot. 2022, 11, 271. [Google Scholar] [CrossRef]
  7. Sobh, M.M.; Abdalbary, M.; Elnagar, S.; Nagy, E.; Elshabrawy, N.; Abdelsalam, M.; Asadipooya, K.; El-Husseini, A. Secondary Osteoporosis and Metabolic Bone Diseases. J. Clin. Med. 2022, 11, 2382. [Google Scholar] [CrossRef]
  8. Arundel, P.; Bishop, N. Primary Osteoporosis. Endocr. Dev. 2015, 28, 162–175. [Google Scholar]
  9. Qaseem, A.; Hicks, L.A.; Etxeandia-Ikobaltzeta, I.; Shamliyan, T.; Cooney, T.G. Clinical Guidelines Committee of the American College of Physicians. Pharmacologic Treatment of Primary Osteoporosis or Low Bone Mass to Prevent Fractures in Adults: A Living Clinical Guideline from the American College of Physicians. Ann. Intern. Med. 2023, 176, 224–238. [Google Scholar]
  10. Sakka, S.D.; Cheung, M.S. Management of primary and secondary osteoporosis in children. Ther. Adv. Musculoskelet. Dis. 2020, 12, 1759720X20969262. [Google Scholar] [CrossRef]
  11. Cosman, F.; de Beur, S.J.; LeBoff, M.S.; Lewiecki, E.M.; Tanner, B.; Randall, S.; Lindsay, R. Clinician’s guide to prevention and treatment of osteoporosis. Osteoporos. Int. 2014, 25, 2359–2381. [Google Scholar] [CrossRef] [PubMed]
  12. Rubin, M.R.; Schussheim, D.H.; Kulak, C.A.M.; Kurland, E.S.; Rosen, C.J.; Bilezikian, J.P.; Shane, E. Idiopathic osteoporosis in premenopausal women. Osteoporos. Int. 2005, 16, 526–533. [Google Scholar] [CrossRef]
  13. International Osteoporosis Foundation Facts and Statistics. Available online: https://www.iofbonehealth.org/facts-statistics (accessed on 2 August 2023).
  14. Bart, R. Variants of Osteoporosis According to Sex and Age. Springer International Publishing: Cham, Switzerland, 2023; pp. 149–163. [Google Scholar]
  15. Eastell, R.; O’Neill, T.W.; Hofbauer, L.C.; Langdahl, B.; Reid, I.R.; Gold, D.T.; Cummings, S.R. Postmenopausal osteoporosis. Nat. Rev. Dis. Primers 2016, 2, 16069. [Google Scholar] [CrossRef]
  16. Watts, N.B. Postmenopausal Osteoporosis: A Clinical Review. J. Womens Health (Larchmt) 2018, 27, 1093–1096. [Google Scholar] [CrossRef]
  17. Qadir, A.; Liang, S.; Wu, Z.; Chen, Z.; Hu, L.; Qian, A. Senile Osteoporosis: The Involvement of Differentiation and Senescence of Bone Marrow Stromal Cells. Int. J. Mol. Sci. 2020, 21, 349. [Google Scholar] [CrossRef] [PubMed]
  18. Alonso-Bouzon, C.; Duque, G. Osteoporosis senil: Una actualización [Senile osteoporosis: An update]. Rev. Esp. Geriatr. Gerontol. 2011, 46, 223–229. [Google Scholar] [CrossRef]
  19. Zhang, D.M.; Cui, D.X.; Xu, R.S.; Zhou, Y.C.; Zheng, L.W.; Liu, P.; Zhou, X.D. Phenotypic research on senile osteoporosis caused by SIRT6 deficiency. Int. J. Oral Sci. 2016, 8, 84–92. [Google Scholar] [CrossRef]
  20. Ji, M.X.; Yu, Q. Primary osteoporosis in postmenopausal women. Chronic Dis. Transl. Med. 2015, 1, 9–13. [Google Scholar] [PubMed]
  21. Khosla, S.; Riggs, B.L. Pathophysiology of age-related bone loss and osteoporosis. Endocrinol. Metab. Clin. N. Am. 2005, 34, 1015–1030. [Google Scholar] [CrossRef]
  22. Kanis, J.A.; Oden, A.; Johnell, O.; Johansson, H.; De Laet, C.; Brown, J.; Burckhardt, P.; Cooper, C.; Christiansen, C.; Cummings, S.; et al. The use of clinical risk factors enhances the performance of BMD in the prediction of hip and osteoporotic fractures in men and women. Osteoporos. Int. 2007, 18, 1033–1046. [Google Scholar] [CrossRef]
  23. Cannarella, R.; Barbagallo, F.; Condorelli, R.A.; Aversa, A.; La Vignera, S.; Calogero, A.E. Osteoporosis from an Endocrine Perspective: The Role of Hormonal Changes in the Elderly. J. Clin. Med. 2019, 8, 1564. [Google Scholar] [CrossRef] [PubMed]
  24. Trajanoska, K.; Rivadeneira, F. The genetic architecture of osteoporosis and fracture risk. Bone 2019, 219, 2–10. [Google Scholar] [CrossRef] [PubMed]
  25. Hudec, S.M.; Camacho, P.M. Secondary causes of osteoporosis. Endocr. Pract. 2013, 19, 120–128. [Google Scholar] [CrossRef]
  26. Yamauchi, M.; Sugimoto, T. Secondary osteoporosis or secondary contributors to bone loss in fracture. causes and pathophysiology of secondary osteoporosis. Clin. Calcium. 2013, 23, 1251–1257. [Google Scholar]
  27. Ebeling, P.R.; Nguyen, H.H.; Aleksova, J.; Vincent, A.J.; Wong, P.; Milat, F. Secondary Osteoporosis. Endocr. Rev. 2022, 43, 240–313. [Google Scholar] [CrossRef]
  28. Hu, K.; Adachi, J.D. Glucocorticoid induced osteoporosis. Expert. Rev. Endocrinol. Metab. 2019, 14, 259–266. [Google Scholar] [CrossRef] [PubMed]
  29. Compston, J. Glucocorticoid-induced osteoporosis: An update. Endocrine 2018, 61, 7–16. [Google Scholar] [CrossRef]
  30. Golds, G.; Houdek, D.; Arnason, T. Male Hypogonadism and Osteoporosis: The Effects, Clinical Consequences, and Treatment of Testosterone Deficiency in Bone Health. Int. J. Endocrinol. 2017, 2017, 4602129. [Google Scholar] [CrossRef]
  31. Ruaro, B.; Guiducci, S.; da Silva, J.A.P.; Wade, B.; Baratella, E.; Confalonieri, M. Editorial: Osteoporosis in Rheumatic Diseases, What’s New? Front. Med. 2021, 8, 808345. [Google Scholar] [CrossRef]
  32. Dubrovsky, A.M.; Lim, M.J.; Lane, N.E. Osteoporosis in Rheumatic Diseases: Anti-rheumatic Drugs and the Skeleton. Calcif. Tissue Int. 2018, 102, 607–618. [Google Scholar] [CrossRef]
  33. Ala, M.; Jafari, R.M.; Dehpour, A.R. Diabetes Mellitus and Osteoporosis Correlation: Challenges and Hopes. Curr. Diabetes Rev. 2020, 16, 984–1001. [Google Scholar] [CrossRef]
  34. Pouresmaeili, F.; Kamalidehghan, B.; Kamarehei, M.; Meng, G.Y. A comprehensive overview on osteoporosis and its risk factors. Ther. Clin. Risk Manag. 2018, 14, 2029–2049. [Google Scholar] [CrossRef] [PubMed]
  35. Andersen, S.; Laurberg, P. Age impact on clinical risk factors does not justify the age related change in referral pattern for osteoporosis assessment-Data from the Aalborg University Hospital Record for Osteoporosis Risk Assessment (AURORA). Maturitas 2015, 80, 302–307. [Google Scholar] [CrossRef] [PubMed]
  36. Strøm Rönnquist, S.; Viberg, B.; Kristensen, M.T.; Palm, H.; Jensen, J.B.; Madsen, C.F.; Åkesson, K.E.; Overgaard, S.; Rogmark, C. Frailty and osteoporosis in patients with hip fractures under the age of 60-a prospective cohort of 218 individuals. Osteoporos. Int. 2022, 33, 1037–1055. [Google Scholar] [CrossRef] [PubMed]
  37. Merlijn, T.; Swart, K.; van der Horst, H.; Åkesson, K.E.; Elders, P.J.M. Fracture prevention by screening for high fracture risk: A systematic review and meta-analysis. Osteoporos. Int. 2020, 31, 251–257. [Google Scholar] [CrossRef]
  38. Ahmadieh, H.; Basho, A.; Chehade, A.; Al Mallah, A.; Dakour, A. Perception of peri-menopausal and postmenopausal Lebanese women on osteoporosis: A cross-sectional study. J. Clin. Transl. Endocrinol. 2018, 14, 19–24. [Google Scholar] [CrossRef]
  39. Rabe, O.C.; Winther-Jensen, M.; Allin, K.H.; Svendsen, O.L. Fractures and Osteoporosis in Patients with Diabetes with Charcot Foot. Diabetes Care 2021, 44, 2033–2038. [Google Scholar] [CrossRef]
  40. Wong, S.K.; Chin, K.-Y.; Suhaimi, F.H.; Ahmad, F.; Ima-Nirwana, S. The Relationship between Metabolic Syndrome and Osteoporosis: A Review. Nutrients 2016, 8, 347. [Google Scholar] [CrossRef]
  41. Adami, G.; Fassio, A.; Rossini, M.; Caimmi, C.; Giollo, A.; Orsolini, G.; Viapiana, O.; Gatti, D. Osteoporosis in Rheumatic Diseases. Int. J. Mol. Sci. 2019, 20, 5867. [Google Scholar] [CrossRef]
  42. Janiszewska, M.; Kulik, T.; Dziedzic, M.; Żołnierczuk-Kieliszek, D. Chosen risk factors for osteoporosis and the level of knowledge about the disease in peri- and postmenopausal women. Menopause Rev. 2015, 14, 27–34. [Google Scholar] [CrossRef]
  43. Hammoudeh, S.; Abdelrahman, M.H.; Chandra, P.; Hammoudeh, M. An assessment of patients’ knowledge of osteoporosis in Qatar: A pilot study. Qatar Med. J. 2015, 2015, 13. [Google Scholar] [CrossRef] [PubMed]
  44. Hossien, Y.E.-S.; Tork, H.M.M.; Ali El-Sabeely, A. Osteoporosis Knowledge among Female Adolescents in Egypt. Am. J. Nurs. Sci. 2014, 3, 13–17. [Google Scholar] [CrossRef]
  45. Cui, Y.; Cai, H.; Zheng, W.; Shu, X.O. Associations of Dietary Intakes of Calcium, Magnesium, and Soy Isoflavones with Bone Fracture Risk in Men: A Prospective Study. JBMR Plus 2021, 6, e10563. [Google Scholar] [CrossRef] [PubMed]
  46. Morgan, S.L. Dietary Supplements and Medical Foods for Osteopenia and Osteoporosis. J. Clin. Densitom. 2013, 16, 394–401. [Google Scholar] [CrossRef]
  47. Godala, M.; Sewerynek, E.; Maślach, D.; Krzyżak, M.; Gaszyńska, E. Resting Metabolic Rate in Women with Endocrine and Osteoporotic Disorders in Relation to Nutritional Status, Diet and 25(OH)D Concentration. Int. J. Environ. Res. Public Health 2022, 19, 3118. [Google Scholar] [CrossRef] [PubMed]
  48. Nieves, J.W. Skeletal effects of nutrients and nutraceuticals, beyond calcium and vitamin D. Osteoporos. Int. 2013, 24, 771–786. [Google Scholar] [CrossRef]
  49. Leidi, M.; Dellera, F.; Mariotti, M.; Maier, J.A.M. High magnesium inhibits human osteoblast differentiation in vitro. Magnes. Res. 2011, 24, 1–6. [Google Scholar] [CrossRef]
  50. Ribeiro, V.; Blakeley, J.; Laryea, M. Women’s knowledge and practices regarding the prevention and treatment of osteoporosis. Health Care Women Int. 2000, 21, 347–353. [Google Scholar]
  51. Borgström, F.; Karlsson, L.; Ortsäter, G.; Norton, N.; Halbout, P.; Cooper, C.; Lorentzon, M.; McCloskey, E.V.; Harvey, N.C.; Javaid, M.K.; et al. International Osteoporosis Foundation. Fragility fractures in Europe: Burden, management and opportunities. Arch. Osteoporos. 2020, 15, 59. [Google Scholar] [CrossRef]
Table 1. Frequency of osteoporosis-related symptoms and self-assessment of health (Spearman correlation coefficient).
Table 1. Frequency of osteoporosis-related symptoms and self-assessment of health (Spearman correlation coefficient).
How Do You Assess Your General Health Condition?How Often Do You Notice the Occurrence of Ailments Related to Osteoporosis?In Total
Do Not OccurQuite RarelyA Few Times a MonthA Few Times a WeekEvery Day
N%N%N%N%N%N%
Very bad00.0%00.0%00.0%00.0%43.4%41.3%
Bad00.0%17.7%45.6%2220.2%9379.5%12038.5%
Good1100.0%861.5%6083.3%8779.8%2017.1%17656.4%
Very good00.0%430.8%811.1%00.0%00.0%123.8%
In total1100.0%13100.0%72100.0%109100.0%117100.0%312100.0%
N, number. Spearman rho: rho = −0.682, p < 0.001.
Table 2. Frequency of osteoporosis-related symptoms and self-assessment of health (Chi-2 Test).
Table 2. Frequency of osteoporosis-related symptoms and self-assessment of health (Chi-2 Test).
Used Dietary SupplementsHow Do You Assess Your Knowledge about Osteoporosis?In TotalChi-2 Test
(Very) GoodNegligible/Lack
N%N%N%Chi-2p<
Vitamin D12786.4%9356.4%22070.5%33.7200.001
Magnesium7853.1%4024.2%11837.8%27.4550.001
Calcium and phosphorus preparations12585.0%9758.8%22271.2%26.0910.001
Vitamin A3020.4%116.7%4113.1%12.8610.001
Vitamin K3725.2%137.9%5016.0%17.2720.001
Vitamin C6846.3%4024.2%10834.6%16.6490.001
Calcitonin3423.1%137.9%4715.1%14.1310.001
Estrogen1610.9%42.4%206.4%9.2750.001
N, number.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Barańska, A.; Drop, B.; Religioni, U.; Dolar-Szczasny, J.; Malm, M.; Wdowiak, K.; Bogdan, M.; Kłak, A.; Merks, P.; Rejdak, R. Assessment of Awareness and Knowledge about Osteoporosis in Relation to Health Prevention among Patients Treated in Osteoporosis Clinics. J. Clin. Med. 2023, 12, 6157. https://doi.org/10.3390/jcm12196157

AMA Style

Barańska A, Drop B, Religioni U, Dolar-Szczasny J, Malm M, Wdowiak K, Bogdan M, Kłak A, Merks P, Rejdak R. Assessment of Awareness and Knowledge about Osteoporosis in Relation to Health Prevention among Patients Treated in Osteoporosis Clinics. Journal of Clinical Medicine. 2023; 12(19):6157. https://doi.org/10.3390/jcm12196157

Chicago/Turabian Style

Barańska, Agnieszka, Bartłomiej Drop, Urszula Religioni, Joanna Dolar-Szczasny, Maria Malm, Krystian Wdowiak, Magdalena Bogdan, Anna Kłak, Piotr Merks, and Robert Rejdak. 2023. "Assessment of Awareness and Knowledge about Osteoporosis in Relation to Health Prevention among Patients Treated in Osteoporosis Clinics" Journal of Clinical Medicine 12, no. 19: 6157. https://doi.org/10.3390/jcm12196157

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop