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<p>Sedentary behavior (SB) is linked to adverse health outcomes, but its patterns and contexts are still not fully understood. Ecological Momentary Assessment (EMA) integrated with accelerometry offers potential insight. This study examined associations between SB patterns and contexts with metabolic biomarkers in young adults. Of 142 participants, 126 provided valid data, with 18 excluded for EMA issues. A total of 108 young adults (21–24 years; 90% power, α = 0.05, f² = 0.15) wore accelerometers for 7 days and completed EMA surveys every 120&#xa0;min to capture SB contexts. Metabolic biomarkers (glucose, TC, HDL, LDL, TG) were analyzed, and multiple regression tested associations. Sedentary time was positively associated with LDL (mg/dL) (β = 0.065; St β 0.205; [95% CI 0.004;0.126]); <i>p</i> = 0.036). Only leisure-time SB context showed positive association with glucose (β = 0.073; St β 0.195; [95% CI 0.004;0.141]); <i>p</i> = 0.038), TC (β = 0.553; St β 0.239; [95% CI 0.134;0.971]); <i>p</i> = 0.010), and LDL (β = 0.492; St β 0.241; [95% CI 0.111;0.872]); <i>p</i> = 0.012). None of the analyzed variables were associated with SB pattern. EMA-accelerometry integration revealed that leisure-time SB is associated with glucose, TC, LDL, underscoring the importance of examining SB contexts in health research.</p>

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Sedentary behavior and metabolic health in young adults across ecological contexts and behavioral patterns

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年11月23日

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  • Catiana Leila Possamai Romanzini,
  • Cynthia Correa Lopes Barbosa,
  • Mariana Biagi Batista,
  • Gabriela Blasquez Shigaki,
  • Mileny Caroline Menezes de Freitas,
  • Marcelo Romanzini,
  • Edilson Serpeloni Cyrino,
  • Décio Sabbatini Barbosa,
  • Danielle Venturini,
  • Alessandra Miyuki Okino,
  • Martina Kanning,
  • Enio Ricardo Vaz Ronque

摘要

Sedentary behavior (SB) is linked to adverse health outcomes, but its patterns and contexts are still not fully understood. Ecological Momentary Assessment (EMA) integrated with accelerometry offers potential insight. This study examined associations between SB patterns and contexts with metabolic biomarkers in young adults. Of 142 participants, 126 provided valid data, with 18 excluded for EMA issues. A total of 108 young adults (21–24 years; 90% power, α = 0.05, f² = 0.15) wore accelerometers for 7 days and completed EMA surveys every 120 min to capture SB contexts. Metabolic biomarkers (glucose, TC, HDL, LDL, TG) were analyzed, and multiple regression tested associations. Sedentary time was positively associated with LDL (mg/dL) (β = 0.065; St β 0.205; [95% CI 0.004;0.126]); p = 0.036). Only leisure-time SB context showed positive association with glucose (β = 0.073; St β 0.195; [95% CI 0.004;0.141]); p = 0.038), TC (β = 0.553; St β 0.239; [95% CI 0.134;0.971]); p = 0.010), and LDL (β = 0.492; St β 0.241; [95% CI 0.111;0.872]); p = 0.012). None of the analyzed variables were associated with SB pattern. EMA-accelerometry integration revealed that leisure-time SB is associated with glucose, TC, LDL, underscoring the importance of examining SB contexts in health research.