Abstract
Hip fracture has increasingly become a social and economic burden. The relationship between serum 25-hydroxyvitamin D levels and the risk of hip fracture reported by previous studies remains controversial. We searched Pubmed and Embase to identify studies reporting the relationship between serum 25-hydroxyvitamin D levels and risk of hip fracture. Fifteen prospective cohort studies with a total of 51239 participants and 3386 hip fracture cases were included. By pooling the Relative Risk of the lowest vs. the highest categories indicated that lower levels of serum 25-hydroxyvitamin D were more likely to be a risk factor for hip fracture with adjusted Relative Risk (95%Confidence Interval) of 1.58 (1.41, 1.77). Subgroup meta-analysis examining the stability of the primary results achieved the same results. A dose-response meta-analysis showed that the risk of hip fracture was a descending curve below the line of RR=1. The descending trend was obvious when serum 25-hydroxyvitamin D levels were less than 60 nmol/L and was flat when serum 25-hydroxyvitamin D levels were more than 60 nmol/L. We found that individuals with low levels of serum 25-hydroxyvitamin D have an increased risk of hip fracture, and this effect was evident when the serum 25-hydroxyvitamin D levels were less than 60 nmol/L.
Keywords: serum 25-hydroxyvitamin D, hip fracture, meta-analysis, dose-response
INTRODUCTION
Hip fracture as a serious consequence of osteoporosis is becoming an important health problem, and an increasing social and economic burden [1–3], and hip fractures are expected to receive more attention over the coming years [4–6]. Cenzer et al [7] reported that about 27% hip fracture patients dead during the 1-year follow up. Multiple factors have been shown to be associated with the risk of hip fractures [8–11]. It is widely recognized that vitamin D plays an important role in skeletal health [12–15].
Serum 25-hydroxyvitamin D [25(OH)D] is widely recognized as the indicator of vitamin D [16]. Steingrimsdottir et al [17] found that serum 25(OH)D < 30 nmol had higher risk of hip fractures than the 25(OH)D with 50-75 nmol/L (Hazard ratios: 2.24 (95% CI 1.63, 3.09)). Similar result was found in study of Looker et al [18]. However, in study of Barbour et al [19], they found no evidence of an association between 25(OH)D and any non-spine fractures, and similar result was found in studies of Cummings et al [20] (25(OH)D less than 47.5 nmol/L (19 ng/ml) with RR: 1.2 (0.7-1.9)), Chan et al [21] with (RR: 0.63 (0.15-2.62)), and de Boer et al [22] with (RR: 1.34 (0.97-1.84)).
Therefore, the effect of serum 25(OH)D concentrations on hip fracture remains uncertain, and we conducted this meta-analysis for the purpose of determining the association between serum 25(OH)D concentrations and the risk of hip fracture. Moreover, which is optimal serum 25(OH)D concentration? And will the sex, age, geographic region or study design (cohort or nested case-cohort) influence the outcomes? Dose-response and subgroup analysis (sex, age, geographic region or study design) were performed to help us understand more about serum 25(OH)D levels and their relationship to the risk of hip fracture.
RESULTS
Literature search
The detailed steps of our literature selection are shown in Figure 1. A total of 399 potential records were identified from the databases, including 88 duplicate articles, 311 articles leaved after duplications deleted; then, 222 papers were excluded by screening the abstracts, and 89 full articles were retrieved. There were 74 articles excluded, including 11 review articles, 12 studies that examined other types of fractures and 25(OH)D, 17 non-prospective cohort studies, 2 meeting articles, 17 articles about other factors affecting the bone health (not including fracture) and 25(OH)D, and 15 studies research the prevalence of vitamin D insufficiency in patient of any kind of fracture (didn't have hip fracture data). Overall, Fifteen prospective cohort studies [17–31] that referred to the relationship between serum 25(OH)D levels and hip fractures were included.
Study characteristics
The characteristics of the included studies are presented in Table 1. A total of 51239 participants were included in our meta-analysis, of whom 3386 had a hip fracture. Fourteen of the fifteen studies were conducted during the period from 2007 to 2016, and there was only one article that was conducted in 1998. Of these fifteen studies, there were eleven cohort studies and four nested case-cohort studies; five of the studies were conducted in Europe and eight were conducted in the United States, one was conducted in the HongKong and one was conducted in the New Zealand. These studies met the criteria for high quality (7 to 9 stars). Most studies provided risk estimates that were adjusted for age (14 studies), BMI (10 studies), gender (8 studies), drinking (7 studies), smoking (10 studies), physical activity (7 studies) and weight (4 studies) (Table 1).
Table 1. Characteristics of Prospective Studies on Serum 25-Hydroxyvitamin D and Hip Fracture.
Source | Study Type | No. of participants | Location/ Period |
Gender | Age (years) |
No. of casesa | Measure/Range of concentrations | Study Qualityb |
Adjustment for Covariatesc |
---|---|---|---|---|---|---|---|---|---|
Steingrimsdottir et al 2014 |
Cohort study | 5461 | Iceland 2002-2009 |
F:3125 M:2346 |
66–96 | 261HF | Q1<30 nmol/L 30 nmol/L≤Q2<50 nmol/L 50 nmol/L≤Q3<75 nmol/L Q4≥75 nmol/L (Immune based) |
9 | Age, sex, body mass index, height, smoking, alcohol intake and season,physical activity. |
Khaw et al 2014 |
Cohort study | 14641 | United Kingdom 1997-2012 |
F:8155 M:6486 |
42–82 | 198HF | Q1<30 nmol/L 30 nmol/L≤Q2<50 nmol/L 50 nmol/L≤Q3<70 nmol/L 70 nmol/L≤Q4 <90 nmol/L Q5≥90 nmol/L (Chromatography based) |
9 | Age, sex, month, BMI, physical activity, smoking, alcohol, vitamin C, diabetes, history of cardiovascular disease, history of cancer, social class, and education . |
Barbour et al 2012 |
Cohort study | 2640 | United States 1997-2009 |
F:1291 M:1349 |
70-79 | 84 HF | Q1≤44.45 nmol/L 44.48 nmol/L≤Q2≤60.9 nmol/L 60.93 nmol/L≤Q3≤79.85 nmol/L Q4> 79.85nmol/L (Immune based) |
9 | Age, gender, race, education level, season of blood draw, BMI, current drinking, fracture after age 45 and clinical comorbidity index. |
Robinson-Cohen et al 2011 |
Cohort study | 2294 | United States 1989–2009 |
F:1600 M:694 |
≥65 | 244HF | Q1<37.5nmol/L Q2≥37.5nmol/L (Chromatography based) |
8 | Age, race, sex, clinic site, a season, education, smoking status (never smoker, former smoker, or current, smoker), alcohol use (any vs. none), diabetes status (normal, impaired fasting glucose, or diabetes), body mass index, self-reported health status, physical activity level, oral steroid use, estrogen use, thiamine and loop diuretic use, serum cystatin C level, and calcium supplement use. |
Looker et al 2008 |
Cohort study | 1917 | United States 1991–2000 |
F:986 M:931 |
≥65 | 156HF | 0nmol/L≤Q1≤42.9 nmol/L 43nmol/L≤Q2≤61 nmol/L 61.1nmol/L≤Q3<82.5 nmol/L Q4 ≥82.5nmol/L (Immune based) |
9 | Age, sex, femoral neck BMD, BMI, previous fracture, dietary calcium, kilocalories, and weight loss from maximum. |
Holvik et al 2013 |
Case-cohort study | 2526 | Norway 1994–2001 |
F:1819 M:707 |
65-79 | 1175HF | 4.5 nmol/L≤Q1≤42.1 nmol/L 42.2 nmol/L≤Q2<53.5 nmol/L 53.5 nmol/L≤Q3≤67.8nmol/L 67.9 nmol/L≤Q4≤250.0 nmol/L (Mass spectrometry) |
9 | Age, gender, study center, BMI, and month of blood sample. |
Cauley et al 2010 |
Case-cohort study | 1665 | United States 2000-2002 |
M:1665 | ≥65 | 81HF | 7.83 nmol/L≤Q1<47.5 nmol/L 47.5 nmol/L≤Q2<62.75 nmol/L 62.75 nmol/L≤Q3<74.75 nmol/L Q4≥74.75 nmol/L (Chromatography based) |
8 | Age, race, clinic, season of blood draw, physical activity, weight, and height. |
Cauley et al 2008 |
Case-cohort study | 800 | United States 1994-2004 |
F:800 | 50-79 | 400HF | 9.23 nmol/L≤Q1<47.6 nmol/L 47.6nmol/L≤Q2<60.2 nmol/L 60.2 nmol/L≤Q3<70.7nmol/L 70.7 nmol/L≤Q4<121.5 nmol/L (Immune based) |
9 | Age, body mass index, parental history of hip fracture, history of fracture, smoking, alcohol use, and total calcium intake, oral corticosteroid use and geographic region. |
Cummings et al 1998 |
Case-cohort study | 476 | United States 1986-1988 |
F:476 | ≥65 | 133HF | Q1<47.5 nmol/L Q2≥47.5 nmol/L (Immune based) |
8 | Age and weight |
Bolland et al 2010 | Cohort study | 1471 | New Zealand 1998-2003 |
F:1471 | >50 | 22HF | Q1<50 nmol/L Q2≥50 nmol/L (Immune based) |
9 | Treatment allocation (calcium or placebo) and baseline age, body weight, and smoking status. |
Melhus et al 2010 | Cohort study | 1194 | Sweden | M:1194 | >50 | 73HF | Q1<50 nmol/L Q2≥50 nmol/L (Chromatography based) |
9 | Weight, height, age, cystatin C, calcium intake, season, physical activity, smoking, diabetes mellitus, other endocrine disease, hematological diseases, dermatoses, infectious disease, musculoskeletal disease, psychiatric disease, neurological disease, respiratory disease, kidney or urinary disease, gastrointestinal disease. |
Chan et al 2011 | Cohort study | 712 | HongKong | M:712 | ≥65 | 24HF | Q1≤63 nmol/L 63 nmol/L<Q2≤76 nmol/L 76 nmol/L<Q3≤91 nmol/L Q4>91 nmol/L (Immune based) |
9 | Age, BMI, education, PASE, DQI, smoking status, and alcohol use |
Buchebner et al 2014 | Cohort study | 1044 | Sweden | F:1044 | ≥75 | 130HF | Q1<50 nmol/L 50 nmol/L≤Q2≤75 nmol/L Q3>75 nmol/L (Chromatography based) |
7 | smoking, bisphosphonate use, and physical activity level |
de Boer et al 2012 | Cohort study | 1621 | United States 1992–2006 |
F:1130 M:491 |
≥65 | 137HF | Q1<50 nmol/L Q2≥50 nmol/L |
9 | Age, sex, clinical site, smoking, body mass index, and physical activity. |
Takiar et al 2015 | Cohort study | 12781 | United States 1990-1992 |
F:7196 M:5585 |
Mean 57 | 267HF | Q1<50 nmol/L Q2≥50 nmol/L |
9 | Age, sex, and race/cente, potentially confounding variables of education, annual household income, physical activity, smoking status, alcohol drinking status, body mass index, waist-to-hip ratio, diabetes, systolic and diastolic blood pressure, use of hypertension medication, total and HDL cholesterol, estimated glomerular filtration rate, thiazide diuretic usage, and hormone replacement therapy, calcium, phosphate, and PTH levels. |
a: HF: Hip fracture.
b: Study quality was judged based on the Newcastle-Ottawa Scale (range, 1-9 stars).
c: BMI: body mass index; BMD: Bone mineral density.
Serum 25(OH)D levels and hip fracture risk
There were thirteen studies that referred to the relationship between serum 25(OH)D levels and the risk of hip fracture. The results of the meta-analysis are shown in Figure 2. The pooled adjusted RRs of hip fracture for the lowest versus highest categories of serum 25(OH)D concentrations were 1.58 (1.41, 1.77) without significant heterogeneity (I2 = 16.8%, P = 0.265), the meta-regression of year, age, follow-up term, study-type, gender and location showed no heterogeneity was found (all of the P > 0.10, Supplementary Figure S1). Additionally, there was no indication of significant publication bias via Egger's test (P = 0.427).
Subgroup meta-analysis
The results of the subgroup meta-analysis are shown in the Table 2. We found that low levels of serum 25(OH)D increased the risk of hip fracture when it was defined by gender (male: 1.86 (1.36 to 2.56); female: 1.45 (1.20 to 1.70)), age (≥ 65 years: 1.61 (1.41 to 1.84); ≥ 42 years: 1.49 (1.19 to 1.85)), location (Europe: 1.64 (1.37 to 1.97); USA: 1.56 (1.34 to 1.80)), study type (cohort: 1.67 (1.45 to 1.93); nested case-cohort: 1.42 (1.17 to 1.72)), and duration of follow-up (< 7 years: 1.89 (1.52 to 2.35); ≥ 7 years: 1.48 (1.29 to 1.69)).
Table 2. Subgroup analyses for 25(OH)D and hip fracture.
No. of reports | Relative Risk (95CI%) | P for heterogeneity | I2 | P for test | |
---|---|---|---|---|---|
Sex | |||||
Male | 5 | 1.86 (1.36 to 2.56) | 0.695 | 0.0 | 0.000 |
Female | 6 | 1.45 (1.20 to 1.75) | 0.181 | 34.1 | 0.000 |
Age | |||||
≥65 years | 10 | 1.61 (1.41 to 1.84) | 0.110 | 37.3 | 0.000 |
≥42years | 5 | 1.49 (1.19 to 1.85) | 0.722 | 0 | 0.000 |
Location | |||||
Europe | 5 | 1.64 (1.37 to 1.97) | 0.096 | 49.2 | 0.000 |
USA | 8 | 1.56 (1.34 to 1.80) | 0.355 | 9.7 | 0.000 |
Study type | |||||
Cohort | 11 | 1.67 (1.45 to 1.93) | 0.277 | 17.5 | 0.000 |
Case-cohort | 4 | 1.42 (1.17 to 1.72) | 0.418 | 0.0 | 0.000 |
Duration of follow-up | |||||
<7 years | 7 | 1.89 (1.52 to 2.35) | 0.271 | 20.8 | 0.000 |
≥7 years | 6 | 1.48 (1.29 to 1.69) | 0.575 | 0.0 | 0.000 |
Dose-response meta-analysis
Four studies [17, 21, 24, 26] of serum 25(OH)D concentration and risk of hip fracture met the dose-response meta-analysis criteria. The results of generalized least-squares regression for serum 25(OH)D levels and the adj.RR of hip fracture are shown in the Figure 3 as a descending curve below the line of RR = 1. The descending trend was obvious when the serum 25(OH)D level was below 60 nmol/L and flattened when the serum 25(OH)D level was higher than 60 nmol/L; there was no significant linear association between the serum 25(OH)D levels and the risk of hip fracture (P = 0.110 for non-linearity, Figure 3).
DISCUSSION
Hip fracture has been worldwide burden [32] and the association of low levels of serum 25(OH)D and risk of fracture among older adults was unclear [18, 19, 23, 25, 27, 33]. A previous meta-analysis based on randomized controlled trials and observational studies [34] showed that neither higher nor lower doses of vitamin D supplementation led to an increased risk of hip fracture; it found that the serum 25(OH)D levels in the 17 identified case-control studies were 33% lower in the case groups compared to the control groups [34].
We found that the adjusted relative risk (adj.RR) of low levels of 25(OH)D has a statistically significant 58% increased risk of hip fracture. All of the subgroup meta-analyses of different genders, age ranges, locations, study types, and durations of follow up supported the result that lower serum 25(OH)D levels significantly increased the risk of hip fracture.
Serum 25(OH)D is the indicator of vitamin D. Therefore, low levels of serum 25(OH)D may be associated with bone loss, lower bone mineral density (BMD) and higher bone turnover [35], which may cause a high risk of fracture. Some other indirect factors may increase the risk of hip fracture, including muscle strength, balance and intake of nutrients; the deficiency of vitamin D may decrease muscle strength and balance, and may also be combined with deficiencies of other nutrient [36–38]. It was also reported that vitamin D deficiency may increase the risk of falls, which then may increase hip fracture risk [39, 40]. Finally, low levels of serum 25(OH)D may be connected with poor health status, which also causes an increase in the risk of hip fracture [41].
The guidelines published by the Institute of Medicine (IOM) recommend that serum 25(OH)D levels ≥ 50 nmol/L(≥ 20 ng/ml) can benefit skeletal health [12]. In this study, the dose-response meta-analysis showed a descending curve below the line of RR = 1, which was consistent with the results of the forest plot in Figure 2; however, no significant curvilinear association between serum 25(OH)D levels and the risk of hip fracture was found. Additionally, using the RR curve in Figure 3, we found that the curve descended before the level of 60 nmol/L, then the curve trend became flat; therefore, when serum 25(OH)D levels are < 60 nmol/L, increasing serum 25(OH)D levels may significantly decrease the risk of hip fracture, and after reaching 60 nmol/L, increasing serum 25(OH)D levels will not decrease the risk of hip fracture. The transitional serum 25(OH)D level in this meta-analysis (60 nmol/L) was 10 nmol/L higher than that recommended by the Institute of Medicine (IOM) (≥ 50 nmol/L) [12].
Strengths of this study
The strength of this meta-analysis is that our quantitative assessment is based on prospective cohort studies, which can overcome the weaknesses of recall and selection bias in case-control studies and provide more data on hip fracture risk within the population. To the best of our knowledge, this is the first systematic review and meta-analysis of the relationship between serum 25(OH)D levels and the risk of hip fracture based on prospective cohort studies. Moreover, we performed subgroup analyses by gender, age, location, study design and follow-up term, and the results were consistent to the overall result. We also performed dose-response assessments of the relationship between serum 25(OH)D levels and the risk of hip fracture. Finally, all of the included studies had high quality assessment scores (7-9 stars, nine-star Newcastle-Ottawa scale) and long durations of follow-up, with a large population of 51239 participants totally.
Limitations of this study
There are still some limitations of our meta-analysis. Firstly, not all of the studies met the requirement of dose-response meta-analysis; only four of included studies were pooled for dose-response meta-analysis. Secondly, There were some different 25(OH)D assays exist, in general, they can be grouped into 2 different categories: immune based and chromatography based [42]. According to the current views, the intra-assay variation may reach 0-10%, while the inter-assay variation may reach 0-25% (at lower serum levels) [43, 44]. Therefore, the variation is existed, and can't be avoided, we should be kept in mind when following an individual patient over time [44]. Thirdly, some factors that vitamin D measurements in blood samples drawn from fracture patients in the acute phase may be influenced by the trauma and surgery itself-such as by inflammation [45] or hemodilution caused by fluid supply [46].
CONCLUSIONS AND CLINICAL IMPLICATION
Individuals with low levels of serum 25(OH)D have an increased risk of hip fracture, and this effect was evident when the serum 25(OH)D level was less than 60 nmol/L, and disappeared when the serum 25(OH)D level was more than 60 nmol/L.
MATERIALS AND METHODS
The present study was completed according to the preferred reporting items for systematic review and meta-analyses (PRISMA) statement (Checklist S1).
Search strategy
We systematically searched PubMed and EMBASE on September 15, 2016 using the following keywords: 1) 25-hydroxyvitamin D, 25(OH)D, or vitamin D; 2) hip fractures or hip fracture; 3) cohort study, cohort studies, prospective study, prospective studies, or longitudinal study. We conducted the searches without language and publication year restrictions. In addition, we manually scanned the related articles and used the “related article” function for additional searches to avoid initial misses.
Selection criteria
The criteria for inclusion in this meta-analysis were as follows: (1) the study was designed as a prospective cohort study; (2) exposure of interest is 25(OH)D; (3) primary outcome of interest is hip fracture; and (4) relative risk (RR) and the corresponding 95% confidence interval (CI) were reported or could be calculated using the data reported. If the data were overlapped or duplicated by multiple publications, the study with the larger number of cases was included
And the criteria of exclusion were: (1) the retrospective study; (2) No data of 25(OH)D and hip fracture was described; (2) meeting abstract that couldn't found the full text; (4) the RR and 95%CI were not reported or couldn't be calculated using the reported data.
Two authors (QBL and XG) independently scanned the potential studies to determine which studies were eligible. Disagreements were discussed first and resolved by a third independent author (AMW).
Data extraction
Three investigators (XL, QHX and ZXS) independently extracted data and the other author (YLC) cross-checked the data for consistency. Differences and disagreements were resolved by consensus. The data were recorded using a standard data extraction form, including the first author's last name, publication year, country where the study was performed, study period, sample size (cases and controls or cohort size), gender and age of participants, measure and range of exposure, variables adjusted for analysis, and RR estimates with corresponding 95% CI for each category of 25(OH)D. If there were more RRs for different potential confounders, we extracted the RRs that reflected the greatest degree of control for potential confounders. If necessary, we contacted the authors of the primary studies for additional information. The nine-star Newcastle-Ottawa scale was used to assess the study quality [47, 48].
Statistical analysis
First, RR estimates were combined using a fixed-effects model as a common measure of the relationship between serum 25(OD)D levels and the risk of hip fracture across studies. To obtain a more accurate result, we pooled the RRs and 95%CIs of the lowest vs. the highest categories for synthesis to determine the risk of hip fracture with low 25(OH)D concentrations [49–51].
Second, we conducted a subgroup meta-analysis to examine the significance of the difference in RRs by different subgroups, including gender (male and female), age (≥ 65 years and ≥ 42 years), location (Europe and USA), study type (cohort study and case cohort study) and the duration of follow-up (< 7 years and ≥ 7 years). And the covariates (year, age, follow-up term, study-type, gender and location) meta-regression was performed to observe the potential heterogeneity.
Third, to examine the association between 25(OH)D levels and the risk of hip fractures, a dose-response meta-analysis was fitted using 4 knots at the following percentiles of distribution: 5%, 35%, 65% and 95% of the distribution [52]. We used the random-effects model reported by Greenland and Longnecker [53] and Orsini et al [54] to conduct a dose-response meta-analysis of 25(OH)D levels. For consistency within the included studies, 25(OH)D concentrations are reported in “nmol/L”. Concentrations reported in “ng/ml” by some studies were converted using a conversion factor (1 ng/ml = 2.5 nmol/L).
Finally, statistical heterogeneity between studies was quantified by using Cochran's Q and the I2 statistic [55]. To investigate the influence of the individual data on the pooled results, we performed a sensitivity analysis to assess the influence of a single study on the pooled RR estimate by removing one study at a time. We also performed the Egger's asymmetry regression test to evaluate potential publication bias [56]. All statistical tests were performed using STATA software (Version 12.0; Stata Corp, College Station, Texas).
SUPPLEMENTARY MATERIALS FIGURES AND TABLES
Acknowledgments
This work was funded by the National Natural Science Foundation of China (81501933, 81372014), Wenzhou Science and Technology Project (Y20160369), National Undergraduate Innovation and Entrepreneurship Training Program of China (201510343002), and Xinmiao talent plan of Zhejiang Province (2015R413005, 2016R413060). The funders had no role in the design, execution, or writing of the study.
Footnotes
Authors' contributions
QBL, AMW, YLC contribute to the conception and design of the study, QBL, XG, XL, QHX, HZX, and ZXS contribute to analysis and interpretation of data, QBL and AMW contribute to drafting the article, All of authors revise it critically for important intellectual content, and to final approval of the version to be published.
CONFLICTS OF INTEREST
Qing-Bo Lv, Xiang Gao, Xiang Liu, Zhen-Xuan Shao, Qian-Hui Xu, Hua-Zi Xu, Yong-Long Chi, and Ai-Min Wu declare that they have no conflict of interest.
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