Scholarlink

Purpose <p>To investigate whether socioeconomic factors may predict brace adherence and curve magnitude in adolescent idiopathic scoliosis (AIS).</p> Methods <p>Patients with adolescent idiopathic scoliosis (AIS) who received a Boston Brace 3D (BB3D) thoracic–lumbar–sacral orthosis (TLSO) from January 2014 to October 2019 at a single center were reviewed. Brace adherence was objectively measured using temperature sensors embedded in orthotics. Brace wear was reported at 4 to 6 weeks (weaning period), 6 months, 12&#xa0;months, 18&#xa0;months, and 24&#xa0;months since the first brace fitting. We abstracted demographic and socioeconomic variables including age, sex, race, ethnicity, median household income, insurance status, and pre-existing mental health conditions. Linear mixed-effect modeling was used to determine changes in adherence and curve magnitude at each visit.</p> Results <p>Among 62 patients (84% female, 63% White, 11% publicly insured), average adherence peaked at 6&#xa0;months (79%) and declined to 64% by 24&#xa0;months. Our findings suggest that males, on average, had 16% lower adherence to bracing compared to females (<i>p</i> = 0.035). Age at the pre-brace visit was found to be a statistically significant predictor of curve change at the 24-month follow-up, with each 1-year age difference associated with a three-degree increase in curve magnitude (<i>p</i> = 0.006). Other sociodemographic variables were not significantly associated with adherence or curve change.</p> Conclusion <p>Despite declining adherence over time, curve magnitude remained stable in most patients, aligning with bracing success criteria. Gender may predict brace adherence, while age may predict curve progression. Analysis of sociodemographic factors in this limited cohort suggests potential disparities in non-operative management that warrant further investigation in more diverse populations. Such insights may inform targeted counseling strategies to optimize long-term outcomes.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Curve stabilization at 2 years despite declining brace adherence in adolescent idiopathic scoliosis: a single-center cohort with sociodemographic analysis

  • 期刊论文

  • 发表日期：

    2025年10月15日

查看全文
  • Daniel C. Gabriel,
  • Nicole D. Agaronnik,
  • Danielle Cook,
  • Daniel Hedequist,
  • Craig M. Birch,
  • M. Timothy Hresko,
  • Grant D. Hogue

摘要

Purpose

To investigate whether socioeconomic factors may predict brace adherence and curve magnitude in adolescent idiopathic scoliosis (AIS).

Methods

Patients with adolescent idiopathic scoliosis (AIS) who received a Boston Brace 3D (BB3D) thoracic–lumbar–sacral orthosis (TLSO) from January 2014 to October 2019 at a single center were reviewed. Brace adherence was objectively measured using temperature sensors embedded in orthotics. Brace wear was reported at 4 to 6 weeks (weaning period), 6 months, 12 months, 18 months, and 24 months since the first brace fitting. We abstracted demographic and socioeconomic variables including age, sex, race, ethnicity, median household income, insurance status, and pre-existing mental health conditions. Linear mixed-effect modeling was used to determine changes in adherence and curve magnitude at each visit.

Results

Among 62 patients (84% female, 63% White, 11% publicly insured), average adherence peaked at 6 months (79%) and declined to 64% by 24 months. Our findings suggest that males, on average, had 16% lower adherence to bracing compared to females (p = 0.035). Age at the pre-brace visit was found to be a statistically significant predictor of curve change at the 24-month follow-up, with each 1-year age difference associated with a three-degree increase in curve magnitude (p = 0.006). Other sociodemographic variables were not significantly associated with adherence or curve change.

Conclusion

Despite declining adherence over time, curve magnitude remained stable in most patients, aligning with bracing success criteria. Gender may predict brace adherence, while age may predict curve progression. Analysis of sociodemographic factors in this limited cohort suggests potential disparities in non-operative management that warrant further investigation in more diverse populations. Such insights may inform targeted counseling strategies to optimize long-term outcomes.