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印度科拉尔一所医学院中,患有雄激素性秃发男性型秃发的医学学士(MBBS)男生的抑郁、孤独感与网络成瘾水平之间的关联。

The Association of Depression, Loneliness, and Internet Addiction Levels in Male Bachelor of Medicine, Bachelor of Surgery (MBBS) Students With Androgenetic Alopecia Male Pattern Baldness in a Medical College in Kolar, India.

作者信息

Prasanna Harish, T S Rajashekar, K Suresh Kumar, Kk Athish, Kiran Madhu, Reddy Meghana

机构信息

Dermatology, Venereology, and Leprosy, Sri Devaraj Urs Academy of Higher Education and Research, Kolar, IND.

出版信息

Cureus. 2023 Feb 28;15(2):e35607. doi: 10.7759/cureus.35607. eCollection 2023 Feb.

DOI:10.7759/cureus.35607
PMID:37007329
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10063234/
Abstract

Introduction The genetically determined progressive process that causes a gradual conversion of terminal hair into vellus hair is known as androgenetic alopecia (AGA). AGA male pattern baldness is very common among male medical students whose self-image is severely deteriorated by AGA and this affects the quality of their professional career. Hence, the assessment of the association of depression, loneliness, and internet addiction levels of male Bachelor of Medicine, Bachelor of Surgery (MBBS) students with AGA male pattern baldness is essential to improving academic and professional performance. Aims and objectives The aim of this study is to evaluate the effects of AGA male pattern baldness and its severity on depression, loneliness, and internet addiction levels of male medical students in Kolar. Materials and methods This questionnaire-based cross-sectional study was conducted among 100 male MBBS students from Sri Devaraj Urs Medical College in Kolar with AGA male pattern baldness of varying grades. The participants were selected through simple random sampling from July 2022 to November 2022 with their prior informed consent. Students' AGA severity was evaluated clinically using the Norwood-Hamilton Classification. Their levels of depression, loneliness, and internet addiction were assessed using the standardized Beck Depression Inventory (BDI) scale, University of Carolina Los Angeles - Loneliness Scale (UCLA-LS), and Young Internet Addiction Test - Short Form (YIAT-SF), respectively, and one-way analysis of variance (ANOVA) was used to ascertain the statistical significance between the means of BDI, UCLA-LS, and YIAT-SF with the severity of AGA. Chi-square/Fisher Exact test was used to find the significance of study parameters on a categorical scale between two or more groups. Significance was assessed at a 5% level of significance. Results The mean of BDI (17.38, 25.11, 34.62, 41.25, 51.00), UCLA-LS (18.72,27.51,36.69,43.5,49.00), and YIAT-SF (20.51, 31.77, 50.31, 60.25, 72.00) scores in each of the AGA grades from Grade I to Grade V in our study showed that these scores increase along with an increase in the severity of AGA and are statistically significant. The frequency distribution of male medical students with varied degrees of AGA and the level of depression, loneliness, and internet addiction levels assessed by the BDI, UCLA-LS, and YIAT-SF showed a robust and statistically significant association between the severity of AGA and the severity of depression, loneliness, and internet addiction levels. Conclusion The current study showed that there is a statistically significant association of depression, loneliness, and internet addiction levels in male MBBS students with AGA male pattern baldness.

摘要

引言

由基因决定的渐进过程导致终毛逐渐转变为毳毛,这一过程被称为雄激素性脱发(AGA)。AGA男性型秃发在男性医学生中非常常见,他们的自我形象因AGA而严重受损,这影响了他们的职业生涯质量。因此,评估医学学士、外科学士(MBBS)男性学生的抑郁、孤独和网络成瘾水平与AGA男性型秃发之间的关联,对于提高学业和职业表现至关重要。

目的

本研究的目的是评估AGA男性型秃发及其严重程度对科拉尔男性医学生抑郁、孤独和网络成瘾水平的影响。

材料与方法

本基于问卷的横断面研究在科拉尔的斯里德瓦拉杰·乌尔医学院的100名患有不同等级AGA男性型秃发的MBBS男性学生中进行。参与者于2022年7月至2022年11月通过简单随机抽样选取,并获得了他们的事先知情同意。使用诺伍德 - 汉密尔顿分类法对学生的AGA严重程度进行临床评估。分别使用标准化的贝克抑郁量表(BDI)、加利福尼亚大学洛杉矶分校孤独量表(UCLA - LS)和青少年网络成瘾测试简表(YIAT - SF)评估他们的抑郁、孤独和网络成瘾水平,并使用单因素方差分析(ANOVA)来确定BDI、UCLA - LS和YIAT - SF的均值与AGA严重程度之间的统计学意义。卡方检验/费舍尔精确检验用于确定两个或更多组之间分类量表上研究参数的显著性。显著性评估的显著水平为5%。

结果

在我们的研究中,从I级到V级的每个AGA等级中,BDI(17.38、25.11、34.62、41.25、51.00)、UCLA - LS(18.72、27.51、36.69、43.5、49.00)和YIAT - SF(20.51、31.77、50.31、60.25、72.00)分数表明,这些分数随着AGA严重程度的增加而增加,且具有统计学意义。不同程度AGA的男性医学生的频率分布以及通过BDI、UCLA - LS和YIAT - SF评估的抑郁、孤独和网络成瘾水平显示,AGA严重程度与抑郁、孤独和网络成瘾水平的严重程度之间存在强烈且具有统计学意义的关联。

结论

当前研究表明,患有AGA男性型秃发的MBBS男性学生的抑郁、孤独和网络成瘾水平之间存在统计学上的显著关联。

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