ReviewMeteorological variables and the risk of fractures: A systematic review and meta-analysis
Graphical abstract
Introduction
Fractures become increasingly common in elderly, resulting in substantial bone-associated morbidities, loss of independence, lasting disability, and increased mortality and health-care costs (Sanders et al., 1999; Shauver et al., 2011). Osteoporotic fractures and fragility fractures are the two most common types of fracture. Osteoporosis is defined as a systemic skeletal disease characterized by low bone mass and microarchitectural deterioration of bone tissue, with a consequent increase in bone fragility and susceptibility to fracture (Conference, 1993). Fragility fractures are caused by low-energy trauma (slips, trips, and falls from standing height) (Dare and Hu, 2017). Roughly 9 million osteoporotic or fragility fractures occur worldwide per year (Johnell and Kanis, 2006). Annual costs associated with fragility fractures exceed €36 billion in Europe (Burge et al., 2007). In the USA, there were 2 million incident osteoporotic fractures that cost approximately $17 billion in 2005, and 3 million incident fractures and a cost of $25 billion are expected by 2025 (Burge et al., 2007). In addition, the mortality at 1 year after fracture is about 10% - 20% (Leibson et al., 2002) with only 40% regaining full pre-fracture independence (Li et al., 2014). Worldwide, people older than 65 years was around 506 million in 2008, and by 2040 this number is expected to increase to 1.3 billion (Kinsella and He, 2009). Given the rapid aging of the world's population, the number of fractures and associated costs are projected to increase by two to four times worldwide in the next few decades (Briggs et al., 2016).
There are many risk factors contributing to the occurrence of fractures, including decreased bone mineral density (BMD), low vitamin D levels, lower limb strength, sensory system function (vision, vestibular, and proprioception), flexibility, and postural balance decline (Low Choy et al., 2007; Melton et al., 2010; Jang et al., 2012; Louer et al., 2016). However, the role of climate in the incidence of fracture has received much less attention, so its real impact has yet to be fully elucidated. Recently, emerging studies (Jacobsen et al., 1995; Levy et al., 1998; Jacobsen et al., 1999; Lin and Xiraxagar, 2006; Bischoff-Ferrari et al., 2007; Tenías et al., 2009; Lau et al., 2010; Turner et al., 2010; Leavy et al., 2013; Giladi et al., 2014; van den Brand et al., 2014; Tenías et al., 2015; Al-Azzani et al., 2016; Fraenkel et al., 2017; Mazzucchelli et al., 2018; Lofthus et al., 2001; Mirchandani et al., 2005; Murray et al., 2011; Modarres et al., 2012; Modarres et al., 2014; Koren et al., 2014; Jo et al., 2018; Segal et al., 2018; Warrender et al., 2018) have focused on the influence of meteorological factors on the incidence of fractures, especially temperature, relative humidity (RH), freezing rain, and snow, but the results are inconsistent. The fracture types varied in these studies, among which hip fractures (HFs), distal forearm fractures (DFFs), and distal radius fractures (DRFs) were dominantly and contribute significantly to the burden of fractures. For instance, Tenías et al. (2009) found that higher temperature was associated with higher fracture incidence. But Bischoff-Ferrari et al. (2007) reported that higher winter temperatures were inversely related to the risk for DRFs and ankle fractures. As for freezing rain the main result of previous studies is that the day with freezing rain is associated with a higher although some were not statistically significant incidence of fractures (Levy et al., 1998; Jacobsen et al., 1999; Giladi et al., 2014), but contrary results also exist (Jacobsen et al., 1995). For snow, the results of previous studies are the same as freezing rain (Jacobsen et al., 1995; Jacobsen et al., 1999; Leavy et al., 2013; Giladi et al., 2014; van den Brand et al., 2014; Al-Azzani et al., 2016; Mazzucchelli et al., 2018). For other meteorological variables (e.g. rainfall, RH, sunlight duration, dew, frost, fog, storm, high wind, and temperature ≦ 0 °C) inconsistent results also existed.
As fractures require a multidisciplinary treatment approach, ranging from surgery to physiotherapy and rehabilitation, thus, the identification of the risk factors for fractures, including meteorological variables, is critical to the development of effective preventive programs and healthcare resources planning. Although there are emerging studies exploring the relationship between meteorological factors and fractures, the focused meteorological factors and conclusions of each study are different. Therefore, we conducted this meta-analysis of previous findings with the main aim to explore the association, to quantify the size of the effects, and to identify the vulnerable populations for prevention.
Section snippets
Search strategy
We performed a systematic literature search of the PubMed, Cochrane Library, Web of Science, CBM (Chinese Biomedical Database), CNKI (Chinese National Knowledge Infrastructure), VIP (Chinese) Database and Wanfang (Chinese) from inception to March 20, 2019. The search strategies were based on the combinations of keywords related to meteorological factors (temperature, humidity, rain, rainfall, precipitation, atmospheric pressure, air pressure, barometric pressure, climate, Meteorolog*, weather,
Study selection and characteristics
The initial search yield 6557 records, of which 2990 were excluded because of the duplicate records. Then 3490 were excluded for various reasons based on the title/abstract (reviews, letters, or not relevant with our topic). The remaining 77 studies were retrieved for the full-text review. Finally, 24 studies (Jacobsen et al., 1995; Levy et al., 1998; Jacobsen et al., 1999; Lin and Xiraxagar, 2006; Bischoff-Ferrari et al., 2007; Tenías et al., 2009; Lau et al., 2010; Turner et al., 2010; Leavy
Discussion
To the best of our knowledge, this is the first systematic review and meta-analysis to assess the association between meteorological variables and the risk of fractures. According to meta-analysis results, we found that temperature increase was associated with a 3% decreased risk of fractures. Sensitivity analysis suggested that the association between temperature decrease and risk fractures was quite robust. Therefore, ambient temperature is probably a more reliable variable to predict
Conclusion
In conclusion, our meta-analysis further confirmed that meteorological variables (e.g. low temperature, freezing rain, snow) are significantly associated with an increased risk of fractures. On account of the heavy disease burden and multidisciplinary treatment approach needs of fractures, the observed link between meteorological variables and fractures has important implications for public health globally, especially with increased aging of the population worldwide. Identify risk factors and
Funding
This work was supported by the Special Foundation of Basic Science and Technology Resources Survey of the Ministry of Science and Technology of the People's Republic of China (grant number: 2017FY101200).
Declaration of Competing Interest
Tingting Shi, Min Min, Pengpeng Ye, Yuan Wang, Guangbo Qu, Yun Zhang, Mingming Liang, Peng Bi, Leilei Dua, Yehuan Sun declare that they have no conflict of interest.
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