Spatial Analysis Research Center, School of Geographical Sciences and Urban Planning, Arizona State University, AZ, 85281, USA.
Spatial Analysis Research Center, School of Geographical Sciences and Urban Planning, Arizona State University, AZ, 85281, USA.
Health Place. 2024 May;87:103249. doi: 10.1016/j.healthplace.2024.103249. Epub 2024 Apr 28.
Geographic disparities in teen birth rates in the U.S. persist, despite overall reductions over the last two decades. Research suggests these disparities might be driven by spatial variations in social determinants of health (SDOH). An alternative view is that "place" or "geographical context" affects teen birth rates so that they would remain uneven across the U.S. even if all SDOH were constant. We use multiscale geographically weighted regression (MGWR) to quantify the relative effects of geographical context, independent of SDOH, on county-level teen birth rates across the U.S. Findings indicate that even if all counties had identical compositions with respect to SDOH, strong geographic disparities in teen birth rates would still persist. Additionally, local parameter estimates show the relationships between several components of SDOH and teen birth rates vary over space in both direction and magnitude, confirming that global regression techniques commonly employed to examine these relationships likely obscure meaningful contextual differences in these relationships. Findings from this analysis suggest that reducing geographic disparities in teen birth rates will require not only ameliorating differences in SDOH across counties but also combating community norms that contribute to high rates of teen birth, particularly in the southern U.S. Further, the results suggest that if geographical context is not incorporated into models of SDOH, the effects of such determinants may be interpreted incorrectly.
尽管美国青少年出生率在过去二十年总体呈下降趋势,但仍存在地域差异。研究表明,这些差异可能是由健康社会决定因素(SDOH)的空间差异驱动的。另一种观点认为,“地点”或“地理背景”会影响青少年的出生率,因此即使所有 SDOH 保持不变,美国各地的青少年出生率仍会参差不齐。我们使用多尺度地理加权回归(MGWR)来量化地理背景对美国各县青少年出生率的相对影响,而与 SDOH 无关。研究结果表明,即使所有县在 SDOH 方面的组成完全相同,青少年出生率仍会存在严重的地域差异。此外,局部参数估计表明,SDOH 的几个组成部分与青少年出生率之间的关系在空间上无论是在方向还是在幅度上都存在差异,这证实了通常用于研究这些关系的全局回归技术可能掩盖了这些关系中存在的有意义的背景差异。这项分析的结果表明,要减少青少年出生率的地域差异,不仅需要改善各县之间的 SDOH 差异,还需要消除导致青少年出生率高的社区规范,尤其是在美国南部。此外,研究结果表明,如果不将地理背景纳入 SDOH 模型,这些决定因素的影响可能会被错误解释。