Literasi Kesehatan Mental dan Help-Seeking Generasi Z Pengguna ChatGPT: Studi Literatur
DOI:
https://doi.org/10.29313/bcsps.v6i2.24874Keywords:
Literasi Kesehatan Mental, Sikap Mencari Bantuan, Dukungan SosialAbstract
Abstract. Generation Z shows a high prevalence of psychological distress, yet actual utilization of professional mental health services remains low, a gap known as the treatment gap. Attitude Towards Seeking Professional Psychological Help (ATSPPH) is considered a proximal cognitive determinant of actual help-seeking behavior. This article reviews the relevance of mental health literacy (MHL) as a predictor of ATSPPH, and the role of perceived social support (PSS) as a factor that may strengthen or weaken this relationship, particularly among Generation Z who use ChatGPT as a form of non-professional psychological support. Using a literature review approach, this article discusses MHL, ATSPPH, and PSS through the lens of the Stress-Buffering Hypothesis (Cohen and Wills, 1985), alongside recent findings on the use of generative AI for emotional disclosure. The review indicates that although MHL is generally associated with more positive help-seeking attitudes, this relationship is not always consistent, suggesting that PSS may condition its strength, either as a buffer that strengthens the effect of MHL or as a substitute that reduces the perceived need for professional help. This review concludes that empirical research testing the interaction between MHL, PSS, and ATSPPH among Generation Z ChatGPT users remains scarce, particularly in the Indonesian context.
Abstrak. Generasi Z menunjukkan prevalensi tekanan psikologis yang tinggi, namun pemanfaatan layanan kesehatan mental profesional secara aktual masih rendah, kesenjangan ini dikenal sebagai treatment gap. Attitude Towards Seeking Professional Psychological Help (ATSPPH) dipandang sebagai determinan kognitif yang paling dekat dengan perilaku mencari bantuan yang sesungguhnya. Artikel ini bertujuan meninjau relevansi literasi kesehatan mental (mental health literacy/MHL) sebagai prediktor ATSPPH, serta peran persepsi dukungan sosial (perceived social support/PSS) sebagai faktor yang dapat memperkuat atau memperlemah hubungan tersebut, khususnya pada Generasi Z yang menjadikan ChatGPT sebagai bentuk dukungan psikologis non-profesional. Melalui pendekatan kajian literatur, artikel ini membahas MHL, ATSPPH, dan PSS melalui kerangka Stress-Buffering Hypothesis (Cohen & Wills, 1985), disertai temuan-temuan terbaru mengenai pemanfaatan AI generatif untuk pengungkapan emosi. Hasil telaah menunjukkan bahwa meskipun MHL secara umum berkaitan dengan sikap mencari bantuan yang lebih positif, hubungan ini tidak selalu konsisten, yang mengindikasikan bahwa PSS dapat menjadi kondisi yang menentukan kekuatan hubungan tersebut, baik sebagai buffer yang memperkuat pengaruh MHL maupun sebagai substitusi yang menurunkan kebutuhan yang dirasakan untuk mencari bantuan profesional. Kajian ini menyimpulkan bahwa penelitian empiris yang menguji secara langsung interaksi antara MHL, PSS, dan ATSPPH pada Generasi Z pengguna ChatGPT masih sangat terbatas, khususnya dalam konteks Indonesia.
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