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All Journal Journal of Epidemiology and Public Health Jurnal Al Azhar Indonesia Seri Ilmu Sosial Jurnal Humaya: Jurnal Hukum, Humaniora, Masyarakat, dan Budaya Ius Poenale Jurnal Hukum dan Etika Kesehatan (JHEK) JUDGE: Jurnal Hukum Priviet Social Sciences Journal Journal of Contemporary Law Studies Indonesian Journal of Law and Justice Journal of Law & Policy Review Jurnal SUTASOMA
Wicaksono, Emirza Nur
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Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences

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Journal : Journal of Epidemiology and Public Health

 1 
Multilevel Analysis of Factors Affecting Depression Risk among the Elderly: Loneliness, Living Status, Physical Activity, Age, Gender, and Education Wicaksono, Emirza Nur; Tamtomo, Didik Gunawan; Prasetya, Hanung; Murti, Bhisma
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.2024.09.04.11

Abstract

Background: There is still a high prevalence of depression in the elderly which is affected by loneliness, low physical activity, gender, last education, and residence status. Elderly people who live alone or have lost a life partner are more prone to depression. Although family support and public health services such as Posyandu are expected to protect against the risk of depression, there have not been many studies that have examined in depth the influence of Posyandu as a contextual factor in reducing the risk of depression in the elderly. This study aims to analyze the influence of these factors and the role of Posyandu in reducing the risk of depression.Subjects and Method: This study used a cross-sectional design conducted in 25 Posyandu Elderly in Grogol District, Sukoharjo Regency from August to September 2024. A total of 204 elderly respon-dents aged 60 years and above were selected using Stratified Random Sampling. The dependent variable in this study was depression collected using the PHQ-9 questionnaire, and loneliness was assessed by the UCLA Loneliness Scale. Other independent variables such as physical activity, gender, education, and life status were collected through structured interviews. Multilevel linear regression analysis is used to analyze the relationship between these factors and the risk of depression, taking into account the individual and contextual levels (Posyandu).Results: The average age of the respondents was 66.27 years old (Mean = 66.26, SD = 5.16), with 79.41% of them being female. Loneliness was significantly associated with an increased risk of depression (b= 0.05; CI 95%= 0.07 to 0.10; p=0.024), while living with family reduces the risk of depression (b= -6.33; CI 95%= -8.26 to -4.40; p<0.001). Physical activity did not show a significant association with depression. Gender, education level, and age are also not significant predictors of depression. Contextual speaking, posyandu has no effect as a contextual variable on the variable of depression in the Grogol sub-district (ICC=2.64%).Conclusion: Loneliness is a significant risk factor for depression in the elderly while living with family also reduces the risk of depression in the elderly.
Effects of Hypertension, Diabetes Mellitus, and Gender on Post Stroke Cognitive Impairment: Meta-Analysis Utami, Sukandriani; Wicaksono, Emirza Nur; Choirunnisa, Amalia; Veibiani, Nindita Arum; Murti, Bhisma
Journal of Epidemiology and Public Health Vol. 9 No. 1 (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.2024.09.01.07

Abstract

Background: Post-stroke cognitive impairment is a serious problem that is often faced by indivi-duals who have experienced a stroke. This study aims to determine and estimate the effects of hypertension, diabetes mellitus, and gender on post-stroke cognitive impairment through meta-analysis of primary research conducted by previous researchers.Subjects and Method: This was a meta-analysis study using the PICO model which includes; P: post-stroke patients. I: hypertension, diabetes mellitus, and women. C: normotensive, without diabetes mellitus, and men. O: post-stroke cognitive impairment. A systematic search for primary studies was carried out in the PubMed database which was published from 2014 to 2023. The keywords used to search for primary studies were "Hypertension" AND "Diabetes Mellitus" AND "Post Stroke Cognitive Impairment". The inclusion criteria for the articles searched were primary studies with cross-sectional and cohort studies from 2014-2023 and reporting aOR values. Primary studies were selected using the PRISMA diagram and relevant primary studies were analyzed using Review Manager 5.3.Results: There were 18 primary studies with cross-sectional and cohort study designs. The total sample obtained through a systematic review and meta-analysis was 9,103 post-stroke patients from France, China, Singapore, the Netherlands, Egypt, Ethiopia, and Uganda. The results of the analysis showed that hypertension increased the risk 1.56 times (aOR= 1.56; 95% CI= 1.11 to 2.19; p= 0.010) and diabetes mellitus increased the risk 1.58 times (aOR= 1.58; 95% CI= 1.23 to 2.05; p< 0.001) post-stroke cognitive impairment compared to people without hypertension and diabetes. Meanwhile, the female gender increases the risk of post-stroke cognitive impairment by 1.28 times (aOR= 1.28; 95% CI=1.16 to 1.42; p<0.001). The data is statistically significant.Conclusion: hypertension, diabetes mellitus, and female gender increase the risk of post-stroke cognitive impairment. Keywords: Hypertension, diabetes mellitus, women, post-stroke cognitive disorders
Effects of Hypertension, Diabetes Mellitus, and Gender on Post Stroke Cognitive Impairment: Meta-Analysis Utami, Sukandriani; Wicaksono, Emirza Nur; Choirunnisa, Amalia; Veibiani, Nindita Arum; Murti, Bhisma
Journal of Epidemiology and Public Health Vol. 9 No. 1 (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.2024.09.01.07

Abstract

Background: Post-stroke cognitive impairment is a serious problem that is often faced by indivi-duals who have experienced a stroke. This study aims to determine and estimate the effects of hypertension, diabetes mellitus, and gender on post-stroke cognitive impairment through meta-analysis of primary research conducted by previous researchers.Subjects and Method: This was a meta-analysis study using the PICO model which includes; P: post-stroke patients. I: hypertension, diabetes mellitus, and women. C: normotensive, without diabetes mellitus, and men. O: post-stroke cognitive impairment. A systematic search for primary studies was carried out in the PubMed database which was published from 2014 to 2023. The keywords used to search for primary studies were "Hypertension" AND "Diabetes Mellitus" AND "Post Stroke Cognitive Impairment". The inclusion criteria for the articles searched were primary studies with cross-sectional and cohort studies from 2014-2023 and reporting aOR values. Primary studies were selected using the PRISMA diagram and relevant primary studies were analyzed using Review Manager 5.3.Results: There were 18 primary studies with cross-sectional and cohort study designs. The total sample obtained through a systematic review and meta-analysis was 9,103 post-stroke patients from France, China, Singapore, the Netherlands, Egypt, Ethiopia, and Uganda. The results of the analysis showed that hypertension increased the risk 1.56 times (aOR= 1.56; 95% CI= 1.11 to 2.19; p= 0.010) and diabetes mellitus increased the risk 1.58 times (aOR= 1.58; 95% CI= 1.23 to 2.05; p< 0.001) post-stroke cognitive impairment compared to people without hypertension and diabetes. Meanwhile, the female gender increases the risk of post-stroke cognitive impairment by 1.28 times (aOR= 1.28; 95% CI=1.16 to 1.42; p<0.001). The data is statistically significant.Conclusion: hypertension, diabetes mellitus, and female gender increase the risk of post-stroke cognitive impairment. Keywords: Hypertension, diabetes mellitus, women, post-stroke cognitive disorders
Multilevel Analysis of Factors Affecting Depression Risk among the Elderly: Loneliness, Living Status, Physical Activity, Age, Gender, and Education Wicaksono, Emirza Nur; Tamtomo, Didik Gunawan; Prasetya, Hanung; Murti, Bhisma
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.2024.09.04.11

Abstract

Background: There is still a high prevalence of depression in the elderly which is affected by loneliness, low physical activity, gender, last education, and residence status. Elderly people who live alone or have lost a life partner are more prone to depression. Although family support and public health services such as Posyandu are expected to protect against the risk of depression, there have not been many studies that have examined in depth the influence of Posyandu as a contextual factor in reducing the risk of depression in the elderly. This study aims to analyze the influence of these factors and the role of Posyandu in reducing the risk of depression.Subjects and Method: This study used a cross-sectional design conducted in 25 Posyandu Elderly in Grogol District, Sukoharjo Regency from August to September 2024. A total of 204 elderly respon-dents aged 60 years and above were selected using Stratified Random Sampling. The dependent variable in this study was depression collected using the PHQ-9 questionnaire, and loneliness was assessed by the UCLA Loneliness Scale. Other independent variables such as physical activity, gender, education, and life status were collected through structured interviews. Multilevel linear regression analysis is used to analyze the relationship between these factors and the risk of depression, taking into account the individual and contextual levels (Posyandu).Results: The average age of the respondents was 66.27 years old (Mean = 66.26, SD = 5.16), with 79.41% of them being female. Loneliness was significantly associated with an increased risk of depression (b= 0.05; CI 95%= 0.07 to 0.10; p=0.024), while living with family reduces the risk of depression (b= -6.33; CI 95%= -8.26 to -4.40; p<0.001). Physical activity did not show a significant association with depression. Gender, education level, and age are also not significant predictors of depression. Contextual speaking, posyandu has no effect as a contextual variable on the variable of depression in the Grogol sub-district (ICC=2.64%).Conclusion: Loneliness is a significant risk factor for depression in the elderly while living with family also reduces the risk of depression in the elderly.
Co-Authors Amalia Choirunnisa Azura, Dinda Maurizka Bhisma Murti Didik Gunawan Tamtomo Khasanah, Dian Ratu Ayu Uswatun Lovinska, Arlyne Faza Prasetya, Hanung Sukandriani Utami Veibiani, Nindita Arum