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All Journal Journal of Epidemiology and Public Health Indonesian Journal of Medicine
Latifah, Shafa
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Medicine & Pharmacology Public Health

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Comparison of Sleep Quality Between Acupuncture Therapy and Blue Pela Flower Tea in Adolescents: A Randomized Controlled Trial Latifah, Shafa; Prasetya, Hanung; Murti, Bhisma
Indonesian Journal of Medicine Vol. 9 No. 3 (2024)
Publisher : Masters Program in Public Health, Universitas Sebelas Maret, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/theijmed.2024.9.3.765

Abstract

Background: Reduced sleep quality will have an impact such as decreased concentration, emotional disturbances, health and daily activities. There are several factors outside of puberty (hormonal) that cause the percentage of insomnia sufferers to be higher among adolescents, including lifestyle and environment which are the causes of insomnia in adolescents. Positive findings have been found in a study reporting that acupuncture and herbal butterfly pea flower tea can improve patient health and sleep quality. This study aims to determine the comparison of acupuncture therapy and herbal butterfly pea flower tea. Subjects and Method: This study is a quantitative study with a Randomized Controlled Trial (RCT) design. This study was conducted at SMKN 5 Merangin in March-April 2024. A sample of 120 students was selected using simple random sampling. The dependent variable in this study is sleep quality in cases of insomnia. The independent variables in the study are acupuncture therapy and butterfly pea herbal tea. Result: The best intervention for improving sleep quality was acupuncture (Mean= 3.65; SD= 1.12), which was better than butterfly pea tea (Mean= 2.13; SD= 1.09) or nothing (Mean= 0.20; SD= 1.20), and the difference between the groups was statistically significant (p<0.001). Conclusion: The best intervention to improve sleep quality was acupuncture compared to butterfly pea herbal tea.
Effects of Social Network, Social Trust, and Social Participation on Depression: A Meta-Analysis Putri, Alifia Nadhimah; Latifah, Shafa; Andriani, Virdaria; Murti, Bhisma; Munawaroh, Siti Mar’atul
Journal of Epidemiology and Public Health Vol. 9 No. 4 (2024)
Publisher : Masters Program in Public Health, Universitas Sebelas Maret, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/jepublichealth.2024.09.04.12

Abstract

Background: An estimated 3.8% of the population is depressed, including 5% of adults (4% in men and 6% in women), and 5.7% of adults over the age of 60. Around 280 million people in the world are depressed (World Health Organization, 2023). Depression not only impairs functional abilities, lowers the quality of life, and increases the mortality rate of the elderly, but also poses a heavy economic burden on the elderly themselves, the community, and the health care system. This study aims to determine the effects of social network, social trust, and social participation on depression.Subjects and Method: The meta-analysis study was carried out according to the PRISMA flowchart and the PICO model. Population: adults. Intervention: high social network, high social trust, and high social participation. Comparison: low social network, low social trust, and low social participation. Outcome: Depression. The basic data used involves Google Scholar, PubMed, BMC, Science-Direct, and Springer Link. Multivariate analysis criteria that attach aOR values. Data analysis using the Review Manager 5.3 application.Results: Seven primary studies were used to analyze trust with depression. Adults with high trust may lower depression 0.80 times compared with low trust (OR= 0.80; 95% CI = 0.76 to 0.83); p<0.001). Five primary studies were used to analyze social participants with depression. Adults with high social participation may reduce depression by 0.81 times compared to low social participants (OR= 0.81; 95% CI= 0.75 to 0.88; p<0.001). Four primary studies were used to analyze social networks with depression. Adults with high social networks may reduce depression by 0.62 times compared with low social networks (OR= 0.62; 95% CI= 0.57 to 0.68; p<0.001).Conclusion: Social networks, social trust, and social participation reduce depression in adults.
Effects of Social Network, Social Trust, and Social Participation on Depression: A Meta-Analysis Putri, Alifia Nadhimah; Latifah, Shafa; Andriani, Virdaria; Murti, Bhisma; Munawaroh, Siti Mar’atul
Journal of Epidemiology and Public Health Vol. 9 No. 4 (2024)
Publisher : Masters Program in Public Health, Universitas Sebelas Maret, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/jepublichealth.2024.09.04.12

Abstract

Background: An estimated 3.8% of the population is depressed, including 5% of adults (4% in men and 6% in women), and 5.7% of adults over the age of 60. Around 280 million people in the world are depressed (World Health Organization, 2023). Depression not only impairs functional abilities, lowers the quality of life, and increases the mortality rate of the elderly, but also poses a heavy economic burden on the elderly themselves, the community, and the health care system. This study aims to determine the effects of social network, social trust, and social participation on depression.Subjects and Method: The meta-analysis study was carried out according to the PRISMA flowchart and the PICO model. Population: adults. Intervention: high social network, high social trust, and high social participation. Comparison: low social network, low social trust, and low social participation. Outcome: Depression. The basic data used involves Google Scholar, PubMed, BMC, Science-Direct, and Springer Link. Multivariate analysis criteria that attach aOR values. Data analysis using the Review Manager 5.3 application.Results: Seven primary studies were used to analyze trust with depression. Adults with high trust may lower depression 0.80 times compared with low trust (OR= 0.80; 95% CI = 0.76 to 0.83); p<0.001). Five primary studies were used to analyze social participants with depression. Adults with high social participation may reduce depression by 0.81 times compared to low social participants (OR= 0.81; 95% CI= 0.75 to 0.88; p<0.001). Four primary studies were used to analyze social networks with depression. Adults with high social networks may reduce depression by 0.62 times compared with low social networks (OR= 0.62; 95% CI= 0.57 to 0.68; p<0.001).Conclusion: Social networks, social trust, and social participation reduce depression in adults.
Co-Authors Andriani, Virdaria Bhisma Murti Munawaroh, Siti Mar’atul Prasetya, Hanung Putri, Alifia Nadhimah