Skip to main content

Advertisement

Factors associated with diagnostic stage of hip osteoarthritis due to acetabular dysplasia among Japanese female patients: a cross-sectional study

Article metrics

Abstract

Background

In Japan, the majority of hip osteoarthritis (OA) was caused by acetabular dysplasia, and about 90 % of patients were female. The present study focused on Japanese female patients with hip OA due to acetabular dysplasia, and examined the associated factors with OA staging at diagnosis, in special reference to body weight.

Methods

Study subjects were 336 Japanese women who were newly diagnosed with hip OA caused by acetabular dysplasia at 15 hospitals in 2008. The self-administered questionnaire elicited patients’ body weight at age 20 and at OA diagnosis. Four ranked OA staging according to radiographic findings of the hip joint (pre-OA, initial stage, advanced stage or terminal stage) was regarded as the outcome index. Proportional odds models in logistic regression were used to calculate odds ratios (ORs) and 95 % confidence intervals (CIs) for severer stage of OA.

Results

At diagnosis, 45 % of patients suffered from terminal stage of OA, whereas 13 % and 14 % were categorized into pre-OA and initial stage, respectively. After adjustment for potential confounders, weight gain since age 20 revealed the increased ORs for severer OA stage at diagnosis (OR 2.02; 95 % CI, 1.07–3.80). Other significant characteristics were age (67+ vs. 20–49 years, OR 12.4), lower education (junior high school vs. junior college or higher, OR 4.00), parity (OR 2.19), lower acetabular head index (<60.0 vs. 71.1+, OR 2.36), and longer duration since symptom onset (6.0+ vs. <1.0 year, OR 2.94).

Conclusions

Weight gain since age 20 might be involved in mechanisms of OA development, which is independent of age or severity of acetabular dysplasia.

Background

Hip osteoarthritis (OA) is one of the leading causes of disability in older adults. Once people develop the disease, they feel difficulty walking, which decreases their quality of life [1]. This problem has been increasing with the current ageing of the population. Thus, it is necessary to identify factors to control disease development.

Obesity is thought to contribute to the development and progression of OA through increased mechanical load and, hormonal and metabolic mechanisms [2, 3]. To the best of our knowledge, two systematic reviews [4, 5] and one meta-analysis [6] have identified obesity as a risk factor for the development of hip OA. However, a number of studies also reported no association between body mass index (BMI) and hip OA [711]. Even in studies that reported an increased risk of hip OA among subjects with higher BMI, the magnitude of the association between BMI and hip OA seemed to be relatively lower than that between BMI and knee OA [1214].

These results were mainly derived from Western countries, where the aetiology of hip OA is mostly primary OA. To date, no previous study have reported the association between obesity and hip OA in Japan, where the aetiology and background characteristics of hip OA are different from Western countries. In Japan, the majority of hip OA was caused by acetabular dysplasia, whereas only about 10 % of patients were primary OA. Besides, female patients accounted for about 90 % [15, 16]. We therefore targeted Japanese female patients with secondary hip OA due to acetabular dysplasia, and examined the associated factors with OA staging at diagnosis, in special reference to body weight. The present study focused on the weight after age 20, when complete closure of the growth plate in the hips has usually occurred, and investigated the association of weight at age 20, the current weight, and weight change on the risk of severer disease stage at diagnosis.

Methods

Subjects

A multi-institutional epidemiological study was conducted for patients newly diagnosed with hip OA at 15 hospitals in five areas of Japan: four hospitals in the Kyushu and Okinawa areas, two hospitals in the Shikoku, Chugoku and Kinki areas, three hospitals in the Chubu areas, three hospitals in the Kanto areas, and three hospitals in the Tohoku and Hokkaido areas. The patients were limited to those whose hip joints had completed closure of the growth plate. Exclusion criteria was those who had been operated on both hip joints after growth plate closure. Hip OA was defined as a symptomatic hip joint that had patients’ complains of hip pain and had radiological evidence of OA (i.e., joint space narrowing, sclerotic changes of the subchondral bone, osteophyte formation, or a bone cyst). A symptomatic hip joint with a deformity in the joint, such as acetabular dysplasia or dislocation, but no osteoarthritic changes was also included. The study was approved by the institutional review board in each participating hospital.

From January to September 2008, a total of 485 newly diagnosed hip OA patients were recruited: 158 patients (33 %) were recruited from four hospitals in the Kyushu and Okinawa areas, 98 patients (20 %) were recruited from two hospitals in the Shikoku, Chugoku and Kinki areas, 101 patients (22 %) were recruited from three hospitals in the Chubu areas, 109 patients (22 %) were recruited from three hospitals in the Kanto areas, and 19 patients were recruited from three hospitals in the Tohoku and Hokkaido areas. Among those, 390 patients (81 %) had a hip OA due to acetabular dysplasia. Of these 390 patients, 358 patients (92 %) were female and aged 20 years or more, and were identified as candidates for the present study. All patients provided written informed consent after the nature and possible consequences of the study had been explained.

Information collection

At the time of recruitment, the following information was obtained from patients using a self-administered questionnaire: current age (years); age at hip pain onset (years); weight at age 20 and current age (kg); comorbidity including stroke, hypertension, heart disease, liver disease, diabetes mellitus, liver disease, pulmonary disease, etc. (none or present); smoking (never, past or current); alcohol drinking (never, past or current); sports club activity at school (none or present); years of education (junior high school, high school or junior college or higher); occupation (physical worker or not); and parity (none or present).

In addition, each subject’s orthopedist completed a structured questionnaire to collect clinical information regarding: measured height (cm) and weight (kg) at OA diagnosis; the acetabular dysplasia indices based on radiographic evaluation; and disease stage at OA diagnosis (as a study outcome) [15, 16]. The following acetabular dysplasia indices were chosen according to the reproducibility for the multi-institutional examination [17] from the Sharp angle [18], the center edge angle [19], the acetabular roof obliquity angle [20], the acetabular head index (AHI) [21], and the approximate acetabular quotient [21]: Sharp angle, acetabular roof obliquity angle, and AHI which were measured in an antero-posterior view radiograph of the bilateral hip joints.

As a study outcome, the disease stage of hip OA was classified into one of the four stages (i.e., pre-OA stage, initial stage, advanced stage, and terminal stage) according to the guidelines proposed by the Japanese Orthopedic Association’s committee [22]. Briefly, pre-OA stage was regarded as a symptomatic hip joint which demonstrated no radiological OA changes but showed morphological changes of the acetabulum and/or proximal femur related to OA. The joints at the initial stage were that one or more OA changes with possible narrowing of the joint space were appeared, in addition to that the width of the joint space was maintained at 2 mm or more throughout the weight-bearing area. The joints at the advanced stage were that the width of the joint space was less than 2 mm at the thinnest point or that loss of the joint space was less than 15 mm. The joints at the terminal stage showed gross loss of the joint space which expanded to 15 mm or more. The assessment of radiographic grade of OA was performed by a single orthopedist at each collaborating hospital.

Statistical analysis

For main exposure variables, body weights at age 20 and current age were categorized into quartile according to the distribution of patients. In addition, weight change since age 20 were calculated and categorized into three levels (more than 2 kg decreased; almost no change: ±2 kg; and more than 2 kg increased). BMI at age 20 and current age were categorized into three levels (<18.5/ 18.5–24.9/ 25.0+ kg/m2), according to the WHO classification, and BMI change since age 20 was categorized into three levels (more than 1.5 kg/m2 decreased; almost no change: ±1.5 kg/m2; and more than 1.5 kg/m2). Regarding other explanatory variables, continuous variables were categorized into quartile except for indices of acetabular dysplasia (i.e., Sharp angle, acetabular roof obliquity angle, and AHI). Since data for indices of acetabular dysplasia included a relatively larger number of missing data, these variables were categorized into tertile.

To examine the association with disease stage at OA diagnosis, proportional odds models in logistic regression were used to calculate odds ratios (ORs) and 95 % confidence intervals (CIs). The trend of association was assessed by assigning ordinal numbers to the increasing exposure categories. Kruskal-Wallis test, Wilcoxon rank sum test or the Chi-square test were also used where appropriate. Variables that showed a p-value of less than 0.10 in age-adjusted model or that seemed to medically relate to the outcome were considered as potential confounders for adjustment in the final model.

In addition, to consider the potential interaction between current age, weight change since age 20, duration since hip pain onset and OA stage at diagnosis, stratified analysis by age was also conducted. All analyses were performed with SAS Ver 9.1 (SAS Institute, Inc., Cary, NC, USA).

Results

Of 358 newly diagnosed female hip OA patients with acetabular dysplasia, 22 did not respond the self-administered questionnaire. Eventually, 336 comprised the subjects for the analysis. Table 1 shows the background characteristics of these 336 patients. Median age at diagnosis was 57.7 years (range: 23.2–84.5 years). Median weight and BMI increased as age increased. About half of the patients had any comorbidities. As for the clinical characteristics, about 60 % of the patients suffered from bilateral OA. Radiographic indices of acetabular dysplasia showed median values of 46.0 for the Sharp angle, 23.0 for the acetabular roof obliquity angle, and 65.5 for the AHI. Median duration between hip pain onset and OA diagnosis was 2.0 years. Among the 336 patients, 45 % of patients suffered from terminal stage of OA, whereas 13 % and 14 % were categorized into pre-OA and initial stage, respectively.

Table 1 Characteristics of Japanese women with newly diagnosed hip osteoarthritis caused by acetabular dysplasiaa

Table 2 shows the associations between selected characteristics and disease stage at the time of OA diagnosis. On univariate analysis, significantly increased ORs were observed for higher age, weight change since age 20, BMI change since age 20, presence of comorbidity, lower education, parity, higher acetabular roof obliquity angle, lower AHI, longer duration since symptom onset, whereas significantly decreased ORs were obtained for taller height, past smokers, current drinkers, and sports club activities at school. However, when considered the effect of age, the association with BMI change since age 20, presence of comorbidity, sports club activities at school vanished.

Table 2 Crude and age-adjusted association between selected characteristics and disease severity at diagnosis

After adjusted for remaining potential confounders (Table 3), patients with higher age had an increased OR for severe stage of the disease (Trend P < 0.01). In addition, weight gain since age 20 also showed about two-fold increased OR for severer stage of OA at diagnosis (OR 2.02; 95%CI, 1.07–3.80). Other significant characteristics were lower education (junior high school vs. junior college or higher, OR 4.00), parity (OR 2.19), lower AHI (<60.0 vs. 71.1+, OR 2.36), and longer duration since symptom onset (6.0+ vs. <1.0 year, OR 2.94). When weight at diagnosis was replaced with weight at age 20 and weight change since age 20 (Model 2), heavier weight was associated with severe stage of OA at diagnosis, with a marginally significance. In these models, use of the proportional odds model would be appropriate, because p values for the score to test for the proportional odds assumption were 0.32 in Model 1 and 0.08 in Model 2.

Table 3 Multivariate analysis about the association between selected characteristics and disease severity at diagnosis

Of the 336 subjects, 234 completed the data for the multivariate analysis (perfect responders), but 102 were missing some data (imperfect responders) (Table 4). Missing data was relatively frequent for radiographic indices of acetabular dysplasia, because subjects with terminal stage of OA were likely to break the hip joint and thus could not measure these angles radiographically in some subjects. Because of this potential bias, the imperfect responders, as compared to perfect responders, were older, experienced longer duration since symptom onset, and were diagnosed as a severer stage of OA. Second, we examined correlations between these three variables. The correlation coefficients with disease stage at diagnosis were: 0.49 (P < 0.01) for age, and 0.20 (P < 0.01) for duration since symptom onset.

Table 4 Comparison of selected characteristics between perfect and imperfect responders

Next, to examine the interactive effect of age at OA diagnosis, weight gain since age 20 and duration from symptom onset for disease stage at OA diagnosis, stratified analysis by age was conducted (Table 5). As a result, the positive association with weight gain since age 20 was observed with a marginal significance among patients who were diagnosed with hip OA in younger age (i.e., 20–57 years), but the association with duration from symptom onset was not observed among those aged group. On the other hand, among patients diagnosed with hip OA in the older age (i.e., 58 years or more), both heavier weight at age 20 and heavier weight at diagnosis were associated with severe stage of hip OA, and these association retained with marginal significance. In addition, longer duration from symptom onset was also associated with severer OA in older aged patients.

Table 5 Association between selected characteristics and disease severity, according to age at diagnosis

Discussion

Present study indicated that weight gain since age 20 was associated with disease severity at OA diagnosis, particularly in patients who were diagnosed with hip OA due to acetabular dysplasia in less than 58 years of age. On the other hand, among those diagnosed hip OA in the older age, lasting heavier weight since age 20 rather than weight gain since age 20 was highly affected for disease stage at OA diagnosis. These results suggest that, for subjects with acetabular dysplasia, both weight gain in early adult life and heavier weight lasting for the long time might be involved in mechanisms of OA development. To date, no study have investigated the association between weight change and hip OA development among subjects with acetabular dysplasia. However, a possible explanation for the association with weight gain in early adult life or heavier weight lasting for the long time is that such patients’ hip joints suffered from a high load for a long time. Besides, when considering the fact that the development of hip OA caused by acetabular dysplasia results from the joint subluxation, weight gain in early adult life (when people’s activities would be increased) might bring about the more load to the joints. Taken these possible mechanisms together, the present results seemed to be reasonable.

In the present study, other harmful characteristics for disease stage at OA diagnosis were older age, lower education, parity, lower AHI, and longer duration since symptom onset. Hip OA is a common form of arthritis in the elderly [1]. Age has been shown to be a potential OA risk factor in previous studies [2324]. As for the lower education, previous study also indicated the lower education level was at increased risk for hip OA [25]. Subjects with lower education are likely to have unskilled or physical work, and therefore might be more likely to develop hip OA. Although our study failed to detect the significant association of physical work with disease stage at OA diagnosis, other Japanese study showed that physical work would be an important risk factor against hip OA [26]. Parity has been pointed out as the potential risk factor for hip OA [27]. One prospective cohort study indicated that the risk of hip replacement increased with increasing parity [27]. Since each pregnancy results in a period of increased body weight, the relationship between parity and hip OA might be explained by the increased body weight during pregnancy. In the present study, while lower AHI was used as an indicator of severer acetabular dysplasia, lower AHI showed the higher OR for severe OA stage at OA diagnosis. There are some cohort studies reported acetabular dysplasia as a risk factor of hip OA [28, 29]. In addition, recent Korean study showed that the association with acetabular dysplasia was more obviously observed when criteria of radiographic hip OA was more strictly defined [30]. Since the present study used the severity of OA as a study outcome, present results seemed to be corresponded to the Korean study. Besides, it could be considered a reasonable result that subjects who experienced longer duration since symptom onset were likely to have severer disease stage at OA diagnosis, based on the natural history of the disease in general. The results suggested that subjects with hip pain should visit the hospital as soon as possible before the disease progresses.

However, the present study had the following limitations. First, since self-reported body weights at age 20 was used in the assessment, they may be inaccurate compared with the measured values. However, a longitudinal study confirmed that correlation between recalled weights at ages 18 when participants were 50 years old and measured weights at ages 18 was 0.87 [31]. In addition, some inaccuracy, if any, was considered to be non-differential, since all of the study subjects suffered from the same disease, hip OA due to acetabular dysplasia. This non-differential misclassification could only lead to underestimating the association, but it would not invalidate the present results. Second, potential bias due to imperfect responders in multivariate model might affect the present results. When we considered the potential bias in Table 4, it can be interpreted that imperfect responders included the severer stage of OA, and thus they were older and experienced longer duration since symptom onset. Since the analyzed study subjects in multivariate model biased the milder stage of OA than the total OA subjects, this potential bias might lead to the underestimation of the association with severe stage of OA. Third, we could not suggest the detailed timing of weight gain, since the detailed information on the weight gain could not be obtained. Weight gain can be affected by systemic illnesses, pregnancy, and diseases of lower limbs etc. Thus, further studies are needed to examine the effect of these conditions.

Conclusion

The present study showed that weight gain since age 20 or lasting heavier weight since age 20 was associated with severe stage of OA at diagnosis among Japanese female subjects with acetabular dysplasia. Thus, weight control in early adult life is particularly important in preventing the development of hip OA.

Abbreviations

AHI, acetabular head index; BMI, body mass index; CI, confidence interval; OA, osteoarthritis; OR, odds ratio

References

  1. 1.

    Cross M, Smith E, Hoy D, Nolte S, Ackerman I, Fransen M, et al. The global burden of hip and knee osteoarthritis: estimates from the Global Burden of Disease 2010 study. Ann Rheum Dis. 2014;73:1323–30.

  2. 2.

    Sowers MR, Karvonen-Gutierrez CA. The evolving role of obesity in knee osteoarthritis. Curr Opin Rheumatol. 2010;22:533–7.

  3. 3.

    Anandacoomarasamy A, Fransen M, March L. Obesity and the musculoskeletal system. Curr Opin Rheumatol. 2009;21:71–7.

  4. 4.

    Lievense AM, Bierma-Zeinstra SMA, Verhagen AP, van Baar ME, Verhaar JAN, Koes BW. Influence of obesity on the development of osteoarthritis of the hip: a systematic review. Rheumatology. 2002;41:1155–62.

  5. 5.

    Richmond SA, Fukuchi RK, Ezzat A, Schneider K, Schneider G, Emery CA. Are joint injury, sport activity, physical activity, obesity, or occupational activities predictors for osteoarthritis? A systematic review. J Orthop Sports Phys Ther. 2013;43:515–24.

  6. 6.

    Jiang L, Rong J, Wang Y, Hu F, Bao C, Li X, et al. The relationship between body mass index and hip osteoarthritis: a systematic review and meta-analysis. Joint Bone Spine. 2011;78:150–5.

  7. 7.

    Hussain SM, Wang Y, Cicuttini FM, Simpson JA, Giles GG, Graves S, et al. Incidence of total knee and hip replacement for osteoarthritis in relation to the metabolic syndrome and its components: a prospective cohort study. Semin Arthritis Rheum. 2014;43:429–36.

  8. 8.

    Ackerman IN, Osborne RH. Obesity and increased burden of hip and knee joint disease in Australia: Results from a national survey. BMC Musculoskeletal Disorders. 2012;13:254.

  9. 9.

    Mork PJ, Holtermann A, Nilsen TIL. Effect of body mass index and physical exercise on risk of knee and hip osteoarthritis: longitudinal data from the Norwegian HUNT Study. J Epidemiol Community Health. 2012;66:678–83.

  10. 10.

    Reijman M, Pols HAP, Bergink AP, Hazes JMW, Belo JN, Lievense AM, et al. Body mass index associated with onset and progression of osteoarthritis of the knee but not of the hip: The Rotterdam Study. Ann Rheum Dis. 2007;66:158–62.

  11. 11.

    Grotle M, Hagen KB, Natvig B, Dahl FA, Kvien TK. Obesity and osteoarthritis in knee, hip and/or hand: an epidemiological study in the general population with 10 years follow up. BMC Musculoskeletal Disorders. 2008;9:132.

  12. 12.

    Holliday KL, McWilliams DF, Maciewicz RA, Muir KR, Zhang W, Doherty M. Lifetime body mass index, other anthropometric measures of obesity and risk of knee or hip osteoarthritis in the GOAL case–control study. Osteoarthritis Cartilage. 2011;19:37–43.

  13. 13.

    Lohmander LS, de Verdier MG, Rollof J, Nilsson PM, Engstrom G. Incidence of severe knee and hip osteoarthritis in relation to different measures of body mass: a population-based prospective cohort study. Ann Rheum Dis. 2009;68:490–6.

  14. 14.

    Liu B, Balkwill A, Banks E, Cooper C, Green J, Beral V, on behalf of the Million Women Study Collaborators. Relationship of height, weight and body mass index to the risk of hip and knee replacements in middle-aged women. Rheumatology. 2007;46:861–7.

  15. 15.

    Jingushi S, Ohfuji S, Sofue M, Hirota Y, Itoman M, Matsumoto T, et al. A multi-institutional epidemiologic study regarding osteoarthritis of the hip in Japan. J Orthop Sci. 2010;15:626–31.

  16. 16.

    Jingushi S, Ohfuji S, Sofue M, Hirota Y, Itoman M, Matsumoto T, et al. Osteoarthritis hip joints in Japan: involvement of acetabular dysplasia. J Orthop Sci. 2011;16:156–64.

  17. 17.

    Takatori Y, Ito K, Sofue M, Hirota Y, Itoman M, Matsumoto T, et al. An analysis of interobserver reliability for radiographic staging of coxarthrosis and indexes of acetabular dysplasia-a preceding study. J Orthop Sci. 2010;15:14–9.

  18. 18.

    Sharp IK. Acetabular dysplasia. The acetabular angle. J Bone Joint Surg Br. 1961;43:268–72.

  19. 19.

    Wiberg G. Studies on dysplastic acetabula and congenital subluxation of the hip joint with special reference to the complication of osteoarthritis. Acta Chir Scand Suppl. 1939;58:1–135.

  20. 20.

    Massie WK, Howorth MB. Congenital dislocation of the hip. Part I. Method of grading results. J Bone Joint Surg Am. 1950;32:519–31.

  21. 21.

    Heyman CH, Herndon CH. Legg-Perthes disease. A method for the measurement of the roentgenographic result. J Bone Joint Surg Am. 1950;32:767–8.

  22. 22.

    Ueno R. Staging of osteoarthritis of the hip joint according to the roentgenographic findings. J Jpn Orthop Assoc. 1971;45:826–8 (in Japanese).

  23. 23.

    Oliveria SA, Felson DT, Reed JI, Cirillo PA, Walker AM. Incidence of symptomatic hand, hip, and knee osteoarthritis among patients in a health maintenance organization. Arthritis Rheum. 1995;38:1134–41.

  24. 24.

    Kopec JA, Rahman MM, Berthelot JM, Le Petit C, Aghajanian J, Sayre EC, et al. Descriptive epidemiology of osteoarthritis in British Columbia, Canada. J Rheumatol. 2007;34:386–93.

  25. 25.

    Jørgensen KT, Pedersen BV, Nielsen NM, Hansen AV, Jacobsen S, Frisch M. Socio-demographic factors, reproductive history and risk of osteoarthritis in a cohort of 4.6 million Danish women and men. Osteoarthritis Cartilage. 2011;19:1176–82.

  26. 26.

    Yoshimura N, Sasaki S, Iwasaki K, Danjoh S, Kinoshita H, Yasuda T, et al. Occupational lifting is associated with hip osteoarthritis: a Japanese case–control study. J Rheumatol. 2000;27:434–40.

  27. 27.

    Liu B, Balkwill A, Cooper C, Roddam A, Brown A, Beral V, Million Women Study Collaborators. Reproductive history, hormonal factors and the incidence of hip and knee replacement for osteoarthritis in middle-aged women. Ann Rheum Dis. 2009;68:1165–70.

  28. 28.

    Thomas GE, Palmer AJ, Batra RN, Kiran A, Hart D, Spector T, et al. Subclinical deformities of the hip are significant predictors of radiographic osteoarthritis and joint replacement in women. A 20 year longitudinal cohort study. Osteoarthritis Cartilage. 2014;22:1504–10.

  29. 29.

    Agricola R, Heijboer MP, Roze RH, Reijman M, Bierma-Zeinstra SM, Verhaar JA, et al. Pincer deformity does not lead to osteoarthritis of the hip whereas acetabular dysplasia does: acetabularcoverage and development of osteoarthritis in a nationwide prospective cohort study (CHECK). Osteoarthritis Cartilage. 2013;21:1514–21.

  30. 30.

    Chung CY, Park MS, Lee KM, Lee SH, Kim TK, Kim KW, et al. Hip osteoarthritis and risk factors in elderly Korean population. Osteoarthritis Cartilage. 2010;18:312–6.

  31. 31.

    Casey VA, Dwyer JT, Berkey CS, Coleman KA, Gardner J, Valadian I. Long-term memory of body weight and past weight satisfaction: a longitudinal follow-up study. Am J Clin Nutr. 1991;53:1493–8.

Download references

Funding

This study was supported by grants from the Japanese Orthopaedic Association-Subsidized Science Project Research 2006–5 and the Japanese Hip Society, and the Grant-in-Aid for Scientific Research (Basic Research C) project “Factors Associated with Seriousness of Symptoms of Osteoarthritis of the Hip.”

Availability of data and materials

The dataset supporting the conclusions of this article is available upon request by contacting the corresponding author.

Authors’ contributions

All authors provided comments on the drafts and have read and approved the final manuscript. SO contributed to study design, data management, statistical analysis, data interpretation, and manuscript writing. KK, and ST contributed to study design, and data interpretation. MS, MI, TM, YH, HS, YT, HY, YY, HI, SM, IO, GF, and HO contributed to study design, data collection, outcome definition, and data interpretation. SJ and YH contributed to conception of the design, overall management, data interpretation, and manuscript editing.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Not applicable.

Ethics approval and consent to participate

The study was approved by the institutional review boards of Kyushu University Graduate School of Medicine Sciences, and was performed in accordance with the Declaration of Helsinki. All patients provided written informed consent after the nature and possible consequences of the study had been explained.

Author information

Correspondence to Satoko Ohfuji.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Keywords

  • Anthropometric factors
  • Body weight
  • Disease severity
  • Epidemiology
  • Hip osteoarthritis