Didik Gunawan Tamtomo
Faculty of Medicine, Universitas Sebelas Maret

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Factors Affecting Occurrence of Depression in Patients with Cervical Cancer at Dr. Moewardi Hospital Surakarta, Central Java: A Path Analysis Model Dewi Shinta; Didik Gunawan Tamtomo; RB Soemanto
Journal of Epidemiology and Public Health Vol. 4 No. 4 (2019)
Publisher : Masters Program in Public Health

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Background: Cervical cancer is in the second place among the incidence of new cases and in thethird highest death from cancer. Cancer depression and severity generally occur together with psychological problems, such as anxiety, pain and fatigue. Most studies in cancer patients have focused on morbidity or mortality more due to the risk of depression. The purpose of this study was to analyze the factors that influence depression in cervical cancer patients.Subjects and Method: A cross sectional study was conducted at Dr. Moewardi Hospital, Surakarta, Central Java, from September to October 2019. A sample of 200 cervical cancer patients was selected by simple random sampling. The dependent variable was depression. The independent variables were marital status, education, occupation, family income, peer support, family support, health personnel support, coping strategy, cancer stage, frequency of chemothe
The Effect of Social Capital, Social Support, Self-Compassion, and Hope Factors Affecting Quality of Life of Breast Cancer Survivors: A Path Analysis Evidence from Surakarta, Central Java Eka Miftakhul Jannah; Didik Gunawan Tamtomo; Bhisma Murti
Journal of Epidemiology and Public Health Vol. 5 No. 1 (2020)
Publisher : Masters Program in Public Health

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Background: Breast cancer is one of the most common cancers among women in the world. The study aims to analyze the effect of social capital, social sup
The Effect of Sleep Disorders on Anxiety and Depression in Health Workers: A Meta-Analysis Alfiana Nur Rohmani; Bhisma Murti; Didik Gunawan Tamtomo
Journal of Epidemiology and Public Health Vol. 9 No. 3 (2024)
Publisher : Masters Program in Public Health

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/jepublichealth.2024.09.03.04

Abstract

Background: Sleep disorders are a clinical condition when a person frequently experiences problems or decreased sleep quality that can lead to anxiety and depression. The purpose of this meta-analysis is to estimate and analyze the magnitude of the influence of sleep disorders on anxiety and depression in health workers based on the results of previous similar primary studies.Subjects and Method: Meta-analysis was performed on a primary study with a cross-sectional design. The research with the PICO format is as follows. Q: Health workers. I: Sleep disturbances < 8 hours per day; C: No sleep disturbances (Enough sleep > 8 hours per day). O: Anxiety and depression. The meta-analysis study was conducted by searching for articles from databases in electronic form using Google schoolar and Pubmed. This study was conducted by researchers in November 2023 by searching and selecting research data online conducted by previous primary data researchers in Pubmed and google scholar with a research period of 2016-2023. The keywords used in the primary data search were "Mental health" OR "Anxiety" OR "Depression" AND "Sleep disturbance" AND "Health worker" OR "Healthcare". The inclusion criteria for this study are complete articles using Cross-sectional research, published years from 2013-2023. The analysis of the articles in this study uses RevMan 5.3 software.Results: The meta-analysis in this study included 7 cross-sectional studies from Hong Kong, China, Bangladesh, Saudi Arabia, the United States, and Turkey. The total sample size is 5,267 samples. The risk of anxiety caused by sleep disturbances in health workers was 1.6 times compared to health workers who did not experience sleep disturbances (aOR=1.67; CI 95%=1.05 to 2.45; p= 0.030). the risk of depression caused by sleep disturbances in health workers was 1.32 times compared to health workers who did not experience sleep disturbances (aOR=1.32; CI 95%=0.81 to 2.15; p= 0.270).Conclusion: Sleep disorders increase the risk of anxiety and depression in health workers.
Multilevel Analysis of Factors Affecting Depression Risk among the Elderly: Loneliness, Living Status, Physical Activity, Age, Gender, and Education Emirza Nur Wicaksono; Didik Gunawan Tamtomo; Hanung Prasetya; Bhisma Murti
Journal of Epidemiology and Public Health Vol. 9 No. 4 (2024)
Publisher : Masters Program in Public Health

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.
The Relationships between Family Support, Age, and Gender with Quality of Life in Chronic Kidney Failure Patients at Dr. Moewardi Surakarta Hospital Rizky Nur Aprilianti Amalia; Didik Gunawan Tamtomo; Bhisma Murti
Journal of Epidemiology and Public Health Vol. 9 No. 4 (2024)
Publisher : Masters Program in Public Health

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/jepublichealth.2024.09.04.09

Abstract

Background: Chronic kidney failure (CKD) is a non-communicable disease in which kidney function begins to decline progressively in a matter of months or even years and can affect the patient's quality of life. The purpose of this study is to determine the effect of family support, gender and age on the quality of life of patients with chronic kidney failure at Dr. Moewardi Hospital Surakarta.Subjects and Method: This study used a cross-sectional design conducted at Dr. Moewardi Surakarta Hospital in June 2024. The target population of the study was 920 patients with chronic kidney failure at Dr. Moewardi Hospital Surakarta. A total of 200 study subjects were selected using simple random sampling. The dependent variables are family support, age, and gender. The independent variable is quality of life. The study instruments used were questionnaires and checklists and the data was analyzed using multiple linear regression analysis and processed using Stata 13.Results:There was a statistically significant relationship between family support and quality of life in patients with chronic kidney failure. Each increase in family support score by one unit will be followed by an improvement in the quality of life of chronic kidney failure patients by 0.31 units (b = 0.31; CI 95% = 0.42 to 0.57; p = 0.023). Statistically, there is a significant relationship between age and quality of life of patients with chronic kidney failure. Each one-year increase in age will be followed by an improvement in the quality of life of chronic kidney failure patients by 0.02 units (b = 0.02; CI 95% = 0.05 to 0.38; p = 0.012). There is a very small difference in quality of life between female and male chronic kidney failure patients. Female patients with chronic kidney failure were 0.01 years lower than men, but the difference was statistically very insignificant (b = -0.80; CI 95% = -0.51 to 0.50; p = 0.975).Conclusion: There was a positive relationship between family support and age and quality of life in patients with chronic kidney failure and there was no significant difference by gender between women and men.
The Effect of Physical Activity on Hypertension on Adults: Meta Analysis Dyah Mubarokah Ahadiyati; Didik Gunawan Tamtomo; Vitri Widyaningsih
Journal of Epidemiology and Public Health Vol. 5 No. 4 (2020)
Publisher : Masters Program in Public Health

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Background: Physical activity has an influ
Meta-Analysis: The Effect of Neuropatic Complications and Depression Commorbidity on the Quality of Life of Patients with Type 2 Diabetes Rofana Aghniya; Bhisma Murti; Didik Gunawan Tamtomo
Journal of Epidemiology and Public Health Vol. 5 No. 3 (2020)
Publisher : Masters Program in Public Health

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Background: Diabetes mellitus is a metabolic disease that results from insulin insufficiency and often causes complications. DM patients are prone to depression. Depression is one aspect that affects the quality of life. Measuring the quality of life in DM patients is done as a measure of the success of the intervention. This study aims to estimate the influence of neuro
The Effect of Non-Compliance with Medication on Multidrug Resistant of Tuberculosis Widya Kurnianingsih; Didik Gunawan Tamtomo; Bhisma Murti
Journal of Epidemiology and Public Health Vol. 5 No. 4 (2020)
Publisher : Masters Program in Public Health

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Background: Multidrug Resistant Tubercu
Effects of Aerobic Exercise and Yoga Breathing Exercise (Pranayama) on Blood Pressure in Hypertensive Patients Khairunissa Khairunissa; Didik Gunawan Tamtomo; Hanung Prasetya
Journal of Epidemiology and Public Health Vol. 6 No. 2 (2021)
Publisher : Masters Program in Public Health

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Background: Uncontrolled hypertension or high blood pressure is a major risk factor for cardiovascular disease. Non-pharmacological treatment has become an important part of hypertension management. Aerobic exercise and yoga breathing exercise (pranayama) are types of non-pharmacological treatment that have an effect on lowering blood pressure. This study aims to examine the effect of aerobic exercise and yoga breathing exercise (prana
Hypertension, Gender, Older Age, and Their Relationships with COVID-19 Mortality: Meta-Analysis Annissa Devi Permata; Bhisma Murti; Didik Gunawan Tamtomo
Journal of Epidemiology and Public Health Vol. 6 No. 1 (2021)
Publisher : Masters Program in Public Health

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (31.794 KB) | DOI: 10.26911/jepublichealth.2021.06.01.10

Abstract

Background: Coronavirus Disease 2019 (COVID-19) is an infectious disease caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARSCoV-2). SARS-CoV-2 is a new type of coronavirus that has never been previously identified in humans. Globally, 213 countries (as of August 11, 2020) are facing serious consequences from the ongoing COVID-19 pandemic. This study aimed to analyze the magnitude of the relationship of hypertension, gender, and older age to COVID-19 mortality with a meta-analysis study. Subjects and Method: This was a systematic review and meta-analysis conducted by following the PRISMA flow diagram. The article search process is carried out through a journal database which includes: PubMed, Science Direct, Springer Link, and PMC Europe by selecting articles published in 2020-2021. The keywords used included: “sex” OR “gender” AND “older age” AND “hypertension” AND “mortality” OR “death” OR “fatal outcome” OR “Predictors outcome” OR “Impact” AND “coronavirus” OR “Covid-19” OR “SARS-COV-2” OR “2019 n-Cov” OR “severe acute respiratory syndrome related coronavirus”. The inclusion criteria were full text articles with a retrospective cohort study design. The article is in English, and the analysis used is multivariate with adjusted Odds Ratio. Eligible articles were analyzed using the Revman 5.3 app. Results: A total of 20 articles were reviewed in this study. A meta-analysis of 10 retrospective cohort studies showed that hypertension increased COVID-19 mortality by 1.40 times compared with no hypertension (aOR= 1.40; 95% CI= 1.04 to 1.89; p = 0.030). A meta-analysis of 10 retrospective cohort studies showed that males had a 1.42 times increased risk of COVID-19 mortality compared to females (aOR= 1.42; 95% CI= 1.20 to 1.67; p<0.001). Meta-analysis of 7 retrospective cohort studies showed that old age has a 3.42 times increased risk of COVID-19 death compared to younger age (aOR=4.15; 95% CI= 2.35 to 7.32; p <0.001). Conclusion: Hypertension, gender, and old age increase the risk of dying from COVID-19.