Naso Chris M, Lin Shuo-Yu, Song Ge, Xue Hong
Department of Health Administration and Policy, College of Public Health, George Mason University, 4400 University Dr, Fairfax, VA, USA.
Osteoporos Int. 2025 Mar;36(3):547-554. doi: 10.1007/s00198-025-07395-3. Epub 2025 Jan 28.
Using data from NHANES for years 2005-2018, we examined temporal trends in osteoporosis prevalence and the proportion of undiagnosed osteoporosis in the United States of America. Our results suggested statistically significant increases in osteoporosis prevalence across several demographic groups. These findings carry profound implications for public health, given increased life expectancy and burden of chronic diseases.
This is the first study to assess osteoporosis prevalence trends over time and the proportion of undiagnosed osteoporosis across gender, ethnicity/race, and age groups.
Observational time trend analyses were conducted using the 2005-2006, 2007-2008, 2009-2010, 2013-2014, and 2017-2018 National Health and Nutrition Examination Survey (NHANES) datasets, along with a descriptive analysis using the 2017-2018 NHANES dataset to capture the proportion of undiagnosed osteoporosis.
The findings showed a statistically significant increase in osteoporosis prevalence among women, non-Hispanic Whites, and all age groups (except for individuals 80 years of age and older) during the study period. A subsequent analysis examining individuals by both gender and ethnicity/race demonstrated a statistically significant increase among Other Hispanic men and non-Hispanic White women. Additional descriptive analyses found that 69.12% of individuals with osteoporosis went undiagnosed. Specifically, 86.88% of men and 84.77% of individuals 50-59 years of age with osteoporosis went undiagnosed, representing the two highest groups.
The substantial and increasing prevalence among certain groups and sub-groups, along with the lack of diagnostic capture of osteoporosis, highlights existing gaps in public health efforts and care delivery infrastructure. This paper highlights high-risk groups and sub-groups that may benefit most from accelerated initiatives to reduce the burden of illness associated with osteoporosis.
利用2005 - 2018年美国国家健康与营养检查调查（NHANES）的数据，我们研究了美国骨质疏松症患病率及未诊断出的骨质疏松症比例的时间趋势。我们的结果表明，多个不同人口群体的骨质疏松症患病率在统计学上有显著增加。鉴于预期寿命的延长和慢性病负担，这些发现对公共卫生具有深远意义。
这是第一项评估骨质疏松症患病率随时间变化趋势以及不同性别、种族/族裔和年龄组中未诊断出的骨质疏松症比例的研究。
使用2005 - 2006年、2007 - 2008年、2009 - 2010年、2013 - 2014年和2017 - 2018年的国家健康与营养检查调查（NHANES）数据集进行观察性时间趋势分析，并使用2017 - 2018年NHANES数据集进行描述性分析，以获取未诊断出的骨质疏松症比例。
研究结果显示，在研究期间，女性、非西班牙裔白人以及所有年龄组（80岁及以上个体除外）的骨质疏松症患病率在统计学上有显著增加。随后按性别和种族/族裔对个体进行的分析表明，其他西班牙裔男性和非西班牙裔白人女性的患病率在统计学上有显著增加。进一步的描述性分析发现，69.12%的骨质疏松症患者未被诊断出来。具体而言，86.88%的男性和84.77%的50 - 59岁骨质疏松症患者未被诊断出来，这两个群体的比例最高。
某些群体和亚群体中患病率的大幅上升且持续增加，以及骨质疏松症诊断的缺失，凸显了公共卫生工作和医疗服务基础设施中存在的现有差距。本文强调了那些可能从加速采取举措以减轻与骨质疏松症相关疾病负担中获益最大的高危群体和亚群体。
