The Associations between Depressive Symptoms and Self-Rated Health in Relation to Sense of Coherence among Adolescents: Cross-Sectional Study

临床心理学 心理干预 抑郁症状 心理学 感觉 横断面研究 多级模型 自评健康 医学 精神科 老年学 社会心理学 焦虑 病理 计算机科学 机器学习
作者
Vilija Malinauskienė,Romualdas Malinauskas
出处
期刊:Children (Basel) [Multidisciplinary Digital Publishing Institute]
卷期号:11 (10): 1244-1244
标识
DOI:10.3390/children11101244
摘要

Background: We investigated the predictors of poor SRH in a representative sample of Lithuanian mainstream school students in grades 7–8. We also checked for gender differences in the associations between SRH and depressive symptoms and other predictors. Methods: A total of 2104 7th–8th-grade students participated (response rate 73.95%) and were asked about depressive symptoms, psychosomatic health complaints, negative acts at school, feeling at school, family stress and violence, sense of coherence, self-esteem, and lifestyle. We used a hierarchical regression analysis including a variety of self-rated health predictors. Results: Boys scored significantly higher on physical activity and smoking, whereas girls scored significantly higher on SRH, depressive symptoms, psychosomatic health complaints, and family stress and violence, though the significance was lost in the hierarchical regression. Depressive symptoms were the strongest predictor of poor SRH (standardized β = 0.309, p < 0.001), though other investigated predictors were also significant but had lower effect sizes. Strong evidence was found supporting the buffering role of sense of coherence in the relationship between depressive symptoms and SRH (standardized β = −0.266, p < 0.001). Conclusions: We can conclude that the magnitude of the relationship between depressive symptoms and self-rated health is dependent on the levels of sense of coherence. We did not find gender differences in those associations. As poor SRH is easy to determine, especially with a one-item question, the cases of poorly rated health should be detected early and corrected by interventions in order to prevent poor health outcomes in the future.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
脑洞疼应助ZZQ采纳,获得10
1秒前
2秒前
2秒前
薛小小完成签到,获得积分10
4秒前
4秒前
wendydqw完成签到 ,获得积分10
5秒前
gujianhua发布了新的文献求助10
5秒前
大力奇迹发布了新的文献求助10
5秒前
充电宝应助长情的月光采纳,获得30
6秒前
哈哈发布了新的文献求助10
6秒前
科研通AI5应助张狗蛋采纳,获得10
7秒前
9秒前
lilinuusss关注了科研通微信公众号
9秒前
9秒前
asss完成签到,获得积分10
10秒前
量子星尘发布了新的文献求助10
10秒前
思源应助完美的凝蝶采纳,获得10
12秒前
13秒前
归海天与完成签到,获得积分10
14秒前
可爱如音完成签到,获得积分10
14秒前
AU发布了新的文献求助10
16秒前
量子星尘发布了新的文献求助10
17秒前
19秒前
wanglong完成签到,获得积分10
20秒前
烟花应助高大的依琴采纳,获得10
21秒前
酥酥完成签到,获得积分10
22秒前
筱筱完成签到,获得积分10
22秒前
lieeey发布了新的文献求助30
24秒前
24秒前
三更灯火应助YANGYINGSHUO采纳,获得10
25秒前
隐形曼青应助mouse0821采纳,获得10
25秒前
量子星尘发布了新的文献求助10
26秒前
wangjue完成签到,获得积分10
28秒前
a_hu完成签到,获得积分10
29秒前
怕孤独的战斗机完成签到,获得积分20
30秒前
pluto应助优美的梦玉采纳,获得10
30秒前
von发布了新的文献求助10
30秒前
30秒前
lieeey完成签到,获得积分10
30秒前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2700
An experimental and analytical investigation on the fatigue behaviour of fuselage riveted lap joints: The significance of the rivet squeeze force, and a comparison of 2024-T3 and Glare 3 1000
Neuromuscular and Electrodiagnostic Medicine Board Review 1000
Statistical Methods for the Social Sciences, Global Edition, 6th edition 600
こんなに痛いのにどうして「なんでもない」と医者にいわれてしまうのでしょうか 510
ALUMINUM STANDARDS AND DATA 500
Walter Gilbert: Selected Works 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3664444
求助须知:如何正确求助?哪些是违规求助? 3224488
关于积分的说明 9757694
捐赠科研通 2934379
什么是DOI,文献DOI怎么找? 1606832
邀请新用户注册赠送积分活动 758873
科研通“疑难数据库(出版商)”最低求助积分说明 735012