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Isolasi Sosial, Kardiovaskular, dan Kematian: Meta-Analisis Munawaroh, Siti Mar’atul; Handayani, Rina Tri; Orchida, Tidy; Atmojo, Joko Tri; Widiyanto, Aris
Jurnal Ilmiah Permas: Jurnal Ilmiah STIKES Kendal Vol 14 No 3 (2024): Jurnal Ilmiah Permas: Jurnal Ilmiah STIKES Kendal: Juli 2024
Publisher : Sekolah Tinggi Ilmu Kesehatan Kendal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32583/pskm.v14i3.2094

Isolasi sosial meningkatkan angka kematian dan kemungkinan besar berdampak pada kesehatan. Penelitian ini bertujuan untuk menganalisis pengaruh isolasi sosial terhadap kardiovaskular dan kematian. Studi meta-analisis ini dilakukan dengan menggunakan flowchart PRISMA dan model PICO yang meliputi: Population: Penduduk dewasa. Intervention: Isolasi sosial. Comparison: Tidak isolasi sosial. Outcome: Kardiovaskular dan Kematian. Pencarian artikel dilakukan melalui database jurnal online meliputi ScienDirect, Scopus, Google Scholar, dan PubMed. Dengan kata kunci “Social Isolation” AND “Cardiovascular” AND “Death” OR “Mortality” AND “adjusted Hazards Ratio”. Penilaian kualitas sebanyak 10 studi primer yang terpublikasi tahun 2012 hingga 2023 dilakukan dengan menggunakan Penilaian Kritis untuk Studi kohor. Data dianalisis menggunakan Review Manager 5.3. Sebanyak 10 artikel studi kohor menyimpulkan bahwa orang dewasa yang mengalami isolasi sosial berisiko untuk mengalami kardiovaskular (aHR= 1.10; CI 95%= 1.07 hingga 1.14; p<0.001) dan kematian (aHR= 1.16; CI 95%= 1.08 hingga 1.18; p= 0.001). Forest plot tersebut juga menunjukkan heterogenitas estimasi efek yang rendah antar studi primer I2= 73%; p <0.001. Dengan demikian, perhitungan rata-rata estimasi efek dilakukan dengan pendekatan random effect model. Penelitian ini juga mengindikasikan tidak adanya bias publikasi.

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

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.

Meta-Analysis of the Effects of Sleep Duration, Exercise, and Family Income on Obesity in Children Hanifah, Hanifah; Dewi, Arddha Maha Pawitra Dwi Puspita; Yuhanani, Arinda Mukti; Sastrawijayah, Jemmi; Murti, Bhisma; Munawaroh, Siti Mar’atul
Journal of Epidemiology and Public Health Vol. 8 No. 3 (2023)
Publisher : Masters Program in Public Health, Universitas Sebelas Maret, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/jepublichealth.2023.08.03.06

Background: Obesity is still one of the problems in Indonesia. The obesity problem has grown into an epidemic, with more than 4 million people dying each year. Factors causing obesity such as lifestyle, lack of physical activity, poor diet habits, low family income, sleep duration, and others. This study aims to estimate the effect of sleep duration, exercise, and family income on obesity in children. Subjects and Method: A systematic review and meta-analysis were conducted using PRISMA guidelines and the PICO model. Population= children of 2-18 years. Intervention= short sleep duration, exercise, and high family income. Comparison= long sleep duration, no exercise, and low family income. Outcome= Obesity. Articles were collected from databases such as Google Scholar, PubMed, Science Direct, and ResearchGate. The literature search used the keywords “family income" AND “exercise” AND "sleep duration" AND “obesity” AND “children” AND "cross-sectional". A total of 19 articles met the inclusion criteria for the meta-analysis, and subsequently were assessed using RevMan 5.4. Results: A meta-analysis of studies from Japan, Korea, Ethiopia, China, Morocco, Saudi Arabia, and Ghana showed that children with short sleep duration (aOR= 1.83; CI 95%= 1.22 to 2.73; p= o.003), children with high family income (aOR= 1.18; CI 95%= 1.03 to 1.36; p= 0.020) could increase the incidence of obesity, and those results were statistically significant. Exercise can reduce the incidence of obesity in children, but this risk of reduction was not statistically significant (aOR= 0.80; CI 95%= 0.59 to 1.09; p= 0.15o). Conclusion: Short sleep duration and high family income increase the incidence of obesity in children, and these results are statistically significant. Exercise decreases the incidence of obesity in children, but the risk of decline is not statistically significant. Keywords: family income, exercise, sleep duration, obesity, children Correspondence: Hanifah. Master’s Program in Public Health, Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta, Central Java, Indonesia. Email: hanifah1611@gmail.com. Mobile: +6281226829788.

Meta-Analysis of the Effects of Sleep Duration, Exercise, and Family Income on Obesity in Children Hanifah, Hanifah; Dewi, Arddha Maha Pawitra Dwi Puspita; Yuhanani, Arinda Mukti; Sastrawijayah, Jemmi; Murti, Bhisma; Munawaroh, Siti Mar’atul
Journal of Epidemiology and Public Health Vol. 8 No. 3 (2023)
Publisher : Masters Program in Public Health, Universitas Sebelas Maret, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/jepublichealth.2023.08.03.06

Background: Obesity is still one of the problems in Indonesia. The obesity problem has grown into an epidemic, with more than 4 million people dying each year. Factors causing obesity such as lifestyle, lack of physical activity, poor diet habits, low family income, sleep duration, and others. This study aims to estimate the effect of sleep duration, exercise, and family income on obesity in children. Subjects and Method: A systematic review and meta-analysis were conducted using PRISMA guidelines and the PICO model. Population= children of 2-18 years. Intervention= short sleep duration, exercise, and high family income. Comparison= long sleep duration, no exercise, and low family income. Outcome= Obesity. Articles were collected from databases such as Google Scholar, PubMed, Science Direct, and ResearchGate. The literature search used the keywords “family income" AND “exercise” AND "sleep duration" AND “obesity” AND “children” AND "cross-sectional". A total of 19 articles met the inclusion criteria for the meta-analysis, and subsequently were assessed using RevMan 5.4. Results: A meta-analysis of studies from Japan, Korea, Ethiopia, China, Morocco, Saudi Arabia, and Ghana showed that children with short sleep duration (aOR= 1.83; CI 95%= 1.22 to 2.73; p= o.003), children with high family income (aOR= 1.18; CI 95%= 1.03 to 1.36; p= 0.020) could increase the incidence of obesity, and those results were statistically significant. Exercise can reduce the incidence of obesity in children, but this risk of reduction was not statistically significant (aOR= 0.80; CI 95%= 0.59 to 1.09; p= 0.15o). Conclusion: Short sleep duration and high family income increase the incidence of obesity in children, and these results are statistically significant. Exercise decreases the incidence of obesity in children, but the risk of decline is not statistically significant. Keywords: family income, exercise, sleep duration, obesity, children Correspondence: Hanifah. Master’s Program in Public Health, Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta, Central Java, Indonesia. Email: hanifah1611@gmail.com. Mobile: +6281226829788.

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

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.

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