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Psychological Factors and Social Support in Adolescents with Suicidal Ideation: A Meta-Analysis Nisriina, Zain Nadaa; Pakanna, Epin; Murti, Bhisma; Ismail, Aem
Journal of Health Promotion and Behavior Vol. 10 No. 1 (2025)
Publisher : Masters Program in Public Health, Universitas Sebelas Maret, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/thejhpb.2025.10.01.03

Abstract

Background: According to World Health Organization (WHO) data, as of August 28, 2023, there are more than 700,000 deaths due to suicide every year and the fourth highest cause of death in 18-29 years old is suicide. Studies report that psychological conditions and social support are risk factors for the emergence of suicidal ideation in adolescents. This study aimed to analyze and estimate the effect of psychological determinants (anxiety, loneliness, and depression), gender, and social support on suicidal ideation in adolescents. Subjects and Method: This was a meta-analysis with PICO model. Population: adolescents. Intervention: women, psychological determinants (anxiety, loneliness, and depression), and social support. Comparison: men, no anxiety, no loneliness, no depression, no social support. Outcome: suicidal ideation. The basic data used involves Google Scholar, PubMed, BMC, ScienceDirect, and Springer Link. The inclusion criteria are full-text articles with cross-sectional studies, published from 2018-2023, reported aOR. Data analysis using the Review Manager 5.3. Results: Meta-analysis was carried out on 16 primary studies from various countries, namely Ethiopia, Nepal, the United States, India, Slovenia, South Korea, Nigeria, Jamaica, China, the Netherlands, and Greece. Suicidal ideation decreased in male adolescents (aOR= 0.95; 95% CI= 0.73 to 1.24; p= 0.700) and strong social support (aOR= 0.84; 95% CI = 0.76 to 0.93; p <0.001). Loneliness (aOR= 2.86; 95% CI= 1.38 to 5.96; p= 0.005), anxiety (aOR= 2.46; 95% CI= 1.58 to 3.84; p<0.001), and depression (aOR= 5.46; 95% CI= 3.43 to 8.70; p<0.001) increased the risk of suicidal ideation. Conclusion: Suicidal ideation decreases in male adolescents and strong social support. It increases with loneliness, anxiety, and depression increase the risk of suicidal ideation.
Implementation of Social Cognitive Theory on Smoking Cessation Nisriina, Zain Nadaa; Demartoto, Argyo; Murti, Bhisma
Journal of Health Promotion and Behavior Vol. 10 No. 1 (2025)
Publisher : Masters Program in Public Health, Universitas Sebelas Maret, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/thejhpb.2025.10.01.04

Abstract

Background: Most people have understood the negative effects of smoking behavior, but not all of them can make the decision to stop the behavior. Like smoking behavior, quitting smoking is also influenced by various factors. This study aimed to analyze smoking cessation behavior in individuals who have quit smoking through Social Cognitive Theory in the Semarang City area. Subjects and Method: The study was conducted with a cross-sectional study design involving as many as 205 participants, including 123 active smokers and 82 who had quit smoking. This research was conducted in the Semarang City area, Central Java. This research was conducted in March-April 2024. The sample was selected using fixed disease sampling for active smoking par­ticipants and snowball sampling for participants who had quit smoking. The dependent variable is smoking cessation behavior. The independent variables are expectation of results, self-regulation, self-efficacy, and strengthening. Data collection was carried out using a questionnaire and the data was analyzed using a path analysis model. Results: Smoking cessation behavior increased with high self-efficacy (OR= 19.99; 95% CI= 7.46 to 53.62; p<0.001) and strong self-regulation (OR= 3.05; 95% CI= 1.51 to 6.13; p= 0.002). Self-efficacy increased with the expectation of positive results (OR= 8.64; 95% CI= 4.52 to 16.52; p<0.001) and strong self-regulation increases with strengthening (OR = 3.61; 95% CI= 1.99 to 6.53; p<0.001). Thus, social cognitive theory can be used to explain and predict smoking cessation behavior. Conclusion: Smoking cessation behavior increases with high self-efficacy, strong self-regulation, positive outcome expectations, and strengthening. Thus, social cognitive theory can be used to explain and predict smoking cessation behavior. Keywords: social cognitive theory, smoking cessation, early adulthood.
Health Belief Model pada Perokok Aktif Nisriina, Zain Nadaa
Jurnal Kesehatan Masyarakat Mulawarman (JKMM) Vol.6 No.1 (2024) : Jurnal Kesehatan Masyarakat Mulawarman (JKMM)
Publisher : Mulawarman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/jkmm.v6i1.13346

Abstract

Penyakit Tidak Menular (PTM) muncul karena adanya perilaku tidak sehat yang diambil individu, salah satunya adalah merokok. Perilaku merokok pada individu merupakan hasil dari bagaimana persepsi individu tersebut mengenai rokok yang dapat dilihat dari teori Health Belief Model (HBM). Penelitian ini merupakan jenis peneltiian kuantitatif deskriptif dengan melibatkan sebanyak 65 orang perokok laki-laki di Kota Semarang.  Hasilnya menunjukkan bahwa dari 6 aspek HBM yang telah diukur, 5 diantaranya yaitu aspek perceived susceptibility, perceived severity, perceived benefits, perceived barriers, dan cues to action termasuk dalam kategori sedang dan untuk self efficacy berada pada kategori yang tinggi. Hasil ini menunjukkan bahwa sebagian besar individu perokok aktif memiliki HBM yang cukup tinggi, dimana artinya individu percaya atau mempersepsikan bahwasanya merokok adalah kegiatan yang meskipun membawa efek menenangkan sesungguhnya mempunyai dampak yang kurang baik bagi tubuh.
Psychological Factors and Social Support in Adolescents with Suicidal Ideation: A Meta-Analysis Nisriina, Zain Nadaa; Pakanna, Epin; Murti, Bhisma; Ismail, Aem
Journal of Health Promotion and Behavior Vol. 10 No. 1 (2025)
Publisher : Masters Program in Public Health, Universitas Sebelas Maret, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/thejhpb.2025.10.01.03

Abstract

Background: According to World Health Organization (WHO) data, as of August 28, 2023, there are more than 700,000 deaths due to suicide every year and the fourth highest cause of death in 18-29 years old is suicide. Studies report that psychological conditions and social support are risk factors for the emergence of suicidal ideation in adolescents. This study aimed to analyze and estimate the effect of psychological determinants (anxiety, loneliness, and depression), gender, and social support on suicidal ideation in adolescents. Subjects and Method: This was a meta-analysis with PICO model. Population: adolescents. Intervention: women, psychological determinants (anxiety, loneliness, and depression), and social support. Comparison: men, no anxiety, no loneliness, no depression, no social support. Outcome: suicidal ideation. The basic data used involves Google Scholar, PubMed, BMC, ScienceDirect, and Springer Link. The inclusion criteria are full-text articles with cross-sectional studies, published from 2018-2023, reported aOR. Data analysis using the Review Manager 5.3. Results: Meta-analysis was carried out on 16 primary studies from various countries, namely Ethiopia, Nepal, the United States, India, Slovenia, South Korea, Nigeria, Jamaica, China, the Netherlands, and Greece. Suicidal ideation decreased in male adolescents (aOR= 0.95; 95% CI= 0.73 to 1.24; p= 0.700) and strong social support (aOR= 0.84; 95% CI = 0.76 to 0.93; p <0.001). Loneliness (aOR= 2.86; 95% CI= 1.38 to 5.96; p= 0.005), anxiety (aOR= 2.46; 95% CI= 1.58 to 3.84; p<0.001), and depression (aOR= 5.46; 95% CI= 3.43 to 8.70; p<0.001) increased the risk of suicidal ideation. Conclusion: Suicidal ideation decreases in male adolescents and strong social support. It increases with loneliness, anxiety, and depression increase the risk of suicidal ideation.
Implementation of Social Cognitive Theory on Smoking Cessation Nisriina, Zain Nadaa; Demartoto, Argyo; Murti, Bhisma
Journal of Health Promotion and Behavior Vol. 10 No. 1 (2025)
Publisher : Masters Program in Public Health, Universitas Sebelas Maret, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/thejhpb.2025.10.01.04

Abstract

Background: Most people have understood the negative effects of smoking behavior, but not all of them can make the decision to stop the behavior. Like smoking behavior, quitting smoking is also influenced by various factors. This study aimed to analyze smoking cessation behavior in individuals who have quit smoking through Social Cognitive Theory in the Semarang City area. Subjects and Method: The study was conducted with a cross-sectional study design involving as many as 205 participants, including 123 active smokers and 82 who had quit smoking. This research was conducted in the Semarang City area, Central Java. This research was conducted in March-April 2024. The sample was selected using fixed disease sampling for active smoking par­ticipants and snowball sampling for participants who had quit smoking. The dependent variable is smoking cessation behavior. The independent variables are expectation of results, self-regulation, self-efficacy, and strengthening. Data collection was carried out using a questionnaire and the data was analyzed using a path analysis model. Results: Smoking cessation behavior increased with high self-efficacy (OR= 19.99; 95% CI= 7.46 to 53.62; p<0.001) and strong self-regulation (OR= 3.05; 95% CI= 1.51 to 6.13; p= 0.002). Self-efficacy increased with the expectation of positive results (OR= 8.64; 95% CI= 4.52 to 16.52; p<0.001) and strong self-regulation increases with strengthening (OR = 3.61; 95% CI= 1.99 to 6.53; p<0.001). Thus, social cognitive theory can be used to explain and predict smoking cessation behavior. Conclusion: Smoking cessation behavior increases with high self-efficacy, strong self-regulation, positive outcome expectations, and strengthening. Thus, social cognitive theory can be used to explain and predict smoking cessation behavior. Keywords: social cognitive theory, smoking cessation, early adulthood.