Prochnow Tyler, Flores Sara A, Curran Laurel, Howell Emily, Jackson Deja T, Patterson Megan S
Texas A&M University, College Station, TX, USA.
Am J Health Promot. 2025 Jul;39(6):916-920. doi: 10.1177/08901171251328559. Epub 2025 Mar 18.
PurposeThis study aimed to examine the relationship between distinct adolescent social connectedness profiles and psychological distress in a summer care program.DesignA longitudinal design was employed to capture changes over 10 weeks in summer.SettingThe study was conducted in a community-based care program which provided weekday care over a 10-week summer period.SampleThe sample consisted of 47 adolescents aged 10-14 years attending a summer care program.MeasuresSocial connectedness was assessed using adult and peer subscales of the Hemingway Measure of Adolescent Connectedness, while psychological distress was measured using the Kessler Psychological Distress Scale (K10).AnalysisTwo-step cluster analysis was used to identify distinct social connectedness profiles, and generalized estimating equations (GEE) examined psychological distress patterns between profiles over time, controlling for age and sex.ResultsTwo profiles emerged from the analysis: "baseline bonders" (n = 21) with moderate-low connectedness scores, and "strong socializers" (n = 26) with high connectedness scores, particularly with adults. GEE analysis revealed a significant time-by-profile interaction (β = -4.42, = .017). Baseline bonders showed significant improvement in psychological distress (initial M = 22.46, final M = 19.20), while strong socializers remained stable (initial M = 17.38, final M = 18.54).ConclusionDistinct social connectedness profiles were associated with differential program effects on psychological distress. Findings suggest the need to better understand connectedness and distress profiles and trajectories across summer programing.
目的
本研究旨在探讨在暑期护理项目中,青少年不同的社会联结状况与心理困扰之间的关系。
设计
采用纵向设计以记录夏季10周内的变化情况。
背景
该研究在一个基于社区的护理项目中进行,该项目在为期10周的夏季工作日提供护理服务。
样本
样本包括47名年龄在10 - 14岁参加暑期护理项目的青少年。
测量方法
使用海明威青少年联结量表的成人和同伴分量表评估社会联结,同时使用凯斯勒心理困扰量表(K10)测量心理困扰。
分析
采用两步聚类分析来识别不同的社会联结状况,并用广义估计方程(GEE)检验不同状况下心理困扰随时间的变化模式,同时控制年龄和性别因素。
结果
“基线联结者”(n = 21),其联结得分中低等;“强社交者”(n = 26),其联结得分高,尤其是与成人的联结。GEE分析显示出显著的时间×状况交互作用(β = -4.42,P = .017)。基线联结者的心理困扰有显著改善(初始均值M = 22.46,最终均值M = 19.20),而强社交者保持稳定(初始均值M = 17.38,最终均值M = 18.54)。
结论
不同的社会联结状况与项目对心理困扰的不同影响相关。研究结果表明有必要更好地了解整个暑期项目中联结状况、困扰状况及发展轨迹。