Introduction

This study explored the extent to which disaggregated support from family, peers, close friendships, teachers, and schools predicted membership into identified, sex-specific trajectories of depressed mood in 3210 Australian adolescents (49% females) based on self-report data collected at four annual time points from school Grade 6 to 9 (ages 10–16).

Methods

The sample was initially split by sex. Group-Based Trajectory Modelling was used to identify the trajectory groups using a Censored Normal model, starting with a two-group model and increasing group size in increments of one, up to a six-group model. Overall model-fit and specific model-fit criteria were examined, and participants were allocated to best-fit groups. Multinomial Logistic Regression examined the associations between baseline social supports and allocated trajectory group membership.

Results

For boys, four trajectory groups were identified which were given the qualitative labels; Low Stable, Moderate Stable, Moderate Decreasing, and High Stable. Regression analysis showed that higher rates of peer belonging were associated with membership in the low and moderate groups compared to the High Stable group. For girls, four trajectory groups were identified and labelled as Low Stable, Moderate Decreasing, Moderate Increasing and High Increasing. Regression analysis showed that higher rates of family support, school climate, and peer belonging were associated with membership in the low and moderate groups compared to the High Increasing group.

Conclusions

Implications included the need for school-based early intervention programs to consider disaggregated supports and vary their interventions by sex. Limitations and directions for future research are discussed.

中文翻译：

---

社会支持在区分青少年抑郁情绪轨迹中的作用

介绍

这项研究探讨了在3210名澳大利亚青少年（49％女性）中，来自家庭，同龄人，亲密友谊，老师和学校的分类支持在多大程度上预测了3210名澳大利亚青少年（49％女性）的抑郁情绪的会员身份已确定的性别特定轨迹。从学校6至9年级（10至16岁）的四个年度时间点。

方法

样本最初是按性别划分的。基于组的轨迹模型用于使用截尾法线模型来识别轨迹组，该模型从两组模型开始，以一组为增量增加组大小，直到六组模型。审查了总体模型拟合和特定模型拟合标准，并将参与者分配到了最佳拟合组。多项式Lo​​gistic回归检查了基线社会支持与分配的轨迹组成员之间的关联。

结果

对于男孩，确定了四个轨迹组，并为其定性。低稳定性，中稳定性，中度降低和高稳定性。回归分析显示，与高稳定组相比，低，中度组的同伴归属率更高。对于女孩，确定了四个轨迹组并将其标记为低稳定，中度下降，中度上升和高上升。回归分析表明，与高增长组相比，低中度组的家庭支持，学校氛围和同伴归属率更高。

结论

这意味着需要基于学校的早期干预计划来考虑分类支持，并按性别改变干预措施。讨论了未来研究的局限性和方向。