فهرست مطالب

Journal of Research in Health Sciences
Volume:25 Issue: 1, Winter 2025

  • تاریخ انتشار: 1403/11/02
  • تعداد عناوین: 8
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  • Adzkia Avisena Maghfiroh, Chandrayani Simanjorang*, Ulya Qoulan Karima Page 1
    Background

    Prediabetes is a golden period because the blood sugar levels can be lowered to normal levels, unlike diabetes mellitus. Studies on risk factors of prediabetes in Indonesia have never been conducted before, especially with cohort study design. The purpose of this study was to identify risk factors associated with prediabetes in Indonesia based on a cohort study conducted in Bogor, Indonesia. Study Design: A retrospective cohort study.

    Methods

    This study was conducted using data from the Bogor Cohort Study done by the Ministry of Health of Indonesia, which included individuals aged more than 25 years. Individuals who had impaired fasting glucose (IFG) (100-125 mg/dL) and/or impaired glucose tolerance (IGT) (140-199 mg/dL) at baseline screening were excluded from the study. Demographic characteristics, risk factors, and clinical observations were extracted using a questionnaire. Cox regression was used for data analysis.

    Results

    The cumulative incidence of prediabetes in Bogor was 50.3%. Factors associated with prediabetes were old age (RR: 1.33; 95% CI 1.19, 1.47), female gender (RR: 1.32; 95% CI 1.18, 1.48), overweight (RR: 1.17; 95% CI 1.01, 1.36), obesity (RR: 1.26; 95% CI 1.08, 1.46), central obesity (RR: 1.17; 95% CI 1.02, 1.34), high cholesterol levels (RR: 1.11; 95% CI 1.00, 1.22), and hypertension (RR: 1.27; 95% CI 1.14, 1.42).

    Conclusion

    Age is a dominant risk factor for prediabetes. Therefore, it is important to stick to a healthy lifestyle by doing more physical activities and maintaining a balanced diet since young age to prevent prediabetes.

    Keywords: Prediabetes, Cohort Study, Risk Factors, Indonesia, Cumulative Incidence
  • Sailent Rizki Sari Simaremare*, Basuki Rachmat, Wahyu Pudji Nugraheni, Debri Rizki Faisal, Muhammad Nirwan, Mara Ipa, Tities Puspita, Dea Anita Ariani Kurniasih, Felly Philipus Senewe Page 2
    Background

    Despite the decrease in prevalence from 18.5% in 2013 to 12.3% in 2018, diarrhea presents a major public health challenge in Indonesia which leads to significant mortality. This study investigated factors influencing diarrhea among children under five years of age in underdeveloped regions of Indonesia, where disparities from other regions are significant.

    Study Design

     A cross-sectional study.

    Methods

    This study obtained data from National Basic Health Research conducted in 2018. Sixty underdeveloped regions of Indonesia, with a total of 9243 children aged 0-59 months, were included. Chi-square, bivariate, and multivariate analyses were conducted to determine factors influencing the prevalence of diarrhea in children under 5 years of age.

    Results

    Multivariate analysis revealed that the age categories of 12-23 months (OR: 1.73; 95% CI: 1.48, 2.02) and 24-35 months (OR: 1.31; 95% CI: 1.11, 1.53), awareness of a nearby hospital (OR: 0.74; 95% CI: 0.63, 0.86), and history of acute respiratory infection (ARI) in the past month (OR: 1.99; 95% CI: 1.66, 2.40) were associated with diarrhea in children under the age of five in underdeveloped regions of Indonesia. In contrast, the environmental factors analyzed further in the study were not significantly associated with the prevalence of diarrhea in children under five years of age in underdeveloped regions of Indonesia.

    Conclusion

    These findings suggest that the child’s age, the child’s history of ARI, and household awareness of nearby hospitals are critical factors associated with the child’s diarrhea in underdeveloped regions of Indonesia.

    Keywords: Diarrhea, Child, Risk Factors, Rural Population, Indonesia
  • Jiregna Abebe Akasa *, Sisay Wondaya, Shiferaw Befikadu Page 3
    Background

    Hypertension (HTN) elevates blood pressure (BP) in the arteries. It is defined as systolic BP (SBP)>140 mm Hg and/or diastolic BP (DBP)>90 mm Hg. This study aimed to identify determinant risk factors of longitudinal change of SBP and DBP with time to first remission of hypertensive patients.

    Study Design

     A retrospective cohort study.

    Methods

    A descriptive and inferential analysis was employed to explore the determinant risk factors, and a multivariate joint model was applied to test the significant association of the possible risk factors.

    Results

    Of all 369 patients, 235 (63.7%) had first remission with a median survival time of five months. The patients demonstrated shorter first remission time when they had no history of comorbidity, resided in urban areas, took a combination of drugs, and were younger. Similarly, residence, age, treatment, history of diabetes mellitus (DM), history of stroke, and observation time were determinant risk factors of SBP. On the other hand, age, treatment, history of DM, chronic kidney diseases, and observation time were identified as determinant risk factors of DBP. The result revealed a strong positive association between changes in SBP and DBP (P=0.9923). In addition, a significant association was observed between the value of SBP and time to first remission (γ_1=-0.0693, HR=0.993).

    Conclusion

    Having good follow-ups, receiving control of comorbidity, and taking a combination of drugs show several opportunities for decreasing BP. Consequently, this compels patients to experience the first remission early.

    Keywords: Remission, Systolic, Diastolic Blood Pressure, Longitudinal Change, Ethiopia
  • Anis Esmaeili, Ali Karamoozian, Abbas Bahrampour * Page 4
    Background

    Breast cancer (BC) is the most common cancer in women, and it is important to identify models that can accurately predict mortality in patients with this cancer. The aim of the present study was to use the elastic net regression and artificial neural network (ANN) models in diagnosing and predicting factors affecting BC mortality.

    Study Design

    A cross-sectional study.

    Methods

    The data of 2,836 people with BC during 2014-2018 were analyzed in this study. Information was registered in the cancer registration system of Kerman University of Medical Sciences. Death status was considered the dependent variable, while age, morphology, tumor differentiation, residence status, and residence place were regarded as independent variables. Sensitivity, specificity, accuracy, area under the receiver operating characteristic curve (AUC), precision, and F1-score were used to compare the models.

    Results

    Based on the test set, the elastic net regression determined factors affecting BC mortality (with sensitivity of 0.631, specificity of 0.814, AUC of 0.629, accuracy of 0.792, precision of 0.318, and F1-score of 0.42) and ANN did so (with sensitivity of 0.66, specificity of 0.748, AUC of 0.704, accuracy of 0.738, precision of 0.265, and F1-score of 0.37).

    Conclusion

    The sensitivity and AUC of the ANN model were higher than those of the elastic net regression, but the specificity, accuracy, precision, and F1-score of the elastic net were higher than those of the ANN. According to the purpose of the study, two models can be used simultaneously. Based on the results of models, morphology, tumor differentiation, and age had a greater effect on death.

    Keywords: Elastic Net Regression, Artificial Neural Network, Breast Cancer
  • Nazanin Cheloi, Zeynab Asgari, Solale Ershadi, Rozita Naseri, Amrollah Sharifi * Page 5
    Background

    Type 2 diabetes mellitus (T2DM) is a chronic disorder diagnosed by elevated blood sugar. Key risk factors for T2DM include obesity, a sedentary lifestyle, and poor dietary habits. The proportion of macronutrients and the dietary inflammatory index (DII) seem to be associated with the risk of T2DM. This study aimed to assess and compare the macronutrient intake, DII, and BMI of newly diagnosed T2DM patients with healthy individuals in Kermanshah, Iran.

    Study design

     This study employed a case-control design.

    Methods

    A total of 105 newly diagnosed T2DM patients were selected as the case group, while an equal number of control participants were selected from their non-diabetic friends or neighbors. Dietary intake was assessed using a validated food frequency questionnaire. Energy, macronutrients, fatty acids intake, and DII were estimated using ShaFA software. Statistical significance was set at P values below 0.05.

    Results

    The study included 105 newly diagnosed T2DM and 105 healthy individuals. Diabetic patients had significantly lower intake of protein, total fat, polyunsaturated fatty acids (PUFA), and monounsaturated fatty acids (MUFA), while their body mass index (BMI) and DII were higher. Multiple logistic regression indicated that protein, PUFA, and MUFA are protective factors for T2DM, while BMI, carbohydrates, and saturated fat intake are risk factors. A higher DII was correlated with an increased risk of T2DM risk, even after adjusting for BMI.

    Conclusion

    Lower BMI and DII, balanced macronutrient intake, and consumption of MUFA and omega-3 fatty acids may be beneficial in preventing or delaying the onset of T2DM. Further research is needed to explore these associations in greater depth.

    Keywords: Diabetes Mellitus, Nutrition Assessment, Diet, Body Mass Index, Dietary Inflammatory Index
  • Enayatollah Homaie Rad, Farideh Sadeghian, Zahra Ghodsi, Shahrokh Yousefzadeh-Chabok, Mohammadhosein Ranjbar Hameghavandi, Shahriar Ghashghaee, Zahra Mohtasham-Amiri, Hamid Heidari, Gerard O’Reilly, Seyed Mohammad Ghodsi, Vafa Rahimi-Movaghar * Page 6
    Background

    Integrated trauma systems (ITS) have shown potential in reducing traffic crash-related injuries and mortality, although their structure and impact can vary. This study assessed the effectiveness of ITS in Guilan, Iran.

    Study Design

     A retrospective observational study.

    Methods

    Utilizing a cross-sectional analysis, this descriptive-analytical study was conducted in Northern Iran from 2015 to 2019 to compare road traffic crash (RTC) data in Guilan (with ITS) against Mazandaran (without ITS), considering weather as a confounder. The study involved pre- and post-ITS intervention analyses to evaluate changes in RTC, injury, and mortality rates.

    Results

    Before ITS implementation, Guilan’s daily RTC mean was 38.4 (SD=16.7), which significantly decreased to 30.8 (SD=13.7) after the intervention. Conversely, in the control province of Mazandaran, the daily average number of RTCs increased from 37.29 (SD=14.1) to 42.55 (SD=16.4) post-ITS implementation in Guilan. Furthermore, the mortality rate in Guilan showed a marginal decline from 27.74 (SD=12.6) pre-ITS to 26.60 (SD=11.9) post-ITS, indicating the positive impact of the ITS. In contrast, Mazandaran demonstrated a significant increase in mortality from 32.16 (SD=14.5) to 51.75 (SD=15.7). The statistical analysis confirmed a significant reduction in mortality and injury incidence in Guilan at the time of the intervention, with a marked decrease observed post-intervention (P<0.001).

    Conclusion

    The findings revealed that RTC prevention is feasible in Iran, with ITS in Guilan significantly reducing RTCs, injuries, and mortalities, underscoring the importance of ongoing efforts to expand ITS components nationally.

    Keywords: Integrated Trauma System, Traffic, Interrupted Time Series Analysis, Wounds, Injuries, Mortality
  • Faezeh Ghasemi, Jalal Poorolajal, Salman Khazaei, Ali Zahiri, Fatemeh Torkaman Asadi Page 7
    Background

    This study was conducted to investigate the trend of some tuberculosis (TB) indices and identify existing gaps in addressing this important public health issue in Hamadan province over a long time period.

    Study Design

     A registry-based cross-sectional study.

    Methods

    In this study, we examined the trend of 10 TB indicators separately in males and females, including the incidence rates of smear-positive pulmonary TB (SPPT), extra-pulmonary TB (EPT), and smear-negative pulmonary TB (SNPT), co-infection with AIDS, relapse rate, smear conversion rate two months after treatment initiation, TB mortality rate, diagnosis rate of pulmonary TB with a smear grade of 3+, treatment success rate, and TB diagnosis rate by the private sector in Hamadan province during 2011-2022. The trend analysis of TB was conducted using Joinpoint regression model, and the annual percentage change (APC) and the average annual percentage change (AAPC) were calculated.

    Results

    A total of 481 females and 554 males were eligible for analysis. The incidence of SPPT in females showed a decreasing trend (AAPC: -7.72; 95% CI: -15.63, -1.10; P=0.008). The rates of EPT and treatment success showed a significant downward trend in both genders. In contrast, the recurrence rate among females exhibited a notable upward trend during the specified time period (AAPC: 18.45; 95% CI: 3.23, 46.47; P=0.0002).

    Conclusion

    The findings of this study suggest that the epidemiological profile of TB has exhibited a relatively favorable trend in some of the examined indicators since 2011, with declines observed in both SPPT and EPT.

    Keywords: Trend, Tuberculosis, Joinpoint, Incidence, Prevalence, Indicators
  • Zahra Cheraghi, Nasrin Shirmohammadi, Razieah Ilukhani, Mojtaba Tayebi, Parvin Cheraghi*, Mohadeseh Sadri Page 8
    Background

    Poor sleep quality in the elderly is a prevalent issue that can significantly impact overall health and quality of life. This study aimed to assess the prevalence of sleep disorders and the factors contributing to poor sleep quality among older adults in Western Iran.

    Study Design

    This is a cross-sectional study.

    Methods

    This study involved 403 elderly people. The following tools were employed to collect data: the Pittsburgh Sleep Quality Index (PSQI), the Leisure and Pleasure Activities Database (a quality-of-life tool), the standardized Depression, Anxiety and Stress Scale (DASS-21), and the Abbreviated Mental Test (AMT)for cognitive assessment. A backward stepwise selection method was employed to finalize the variables for multiple logistic regression analysis.

    Results

    The overall prevalence of poor sleep quality was 44.7%. With each one-point increase in stress, the likelihood of experiencing poor sleep quality increases significantly (adjusted OR: 1.09, P<0.001). The number of children in the household was found to have a protective effect against poor sleep quality (adjusted OR=0.63, P=0.008). Furthermore, elderly individuals working as housekeepers had higher odds of poor sleep quality than those employed elsewhere (adjusted OR=7.45, P=0.005).

    Conclusion

    A significant association was observed between elevated stress levels and poor sleep quality. Interestingly, the presence of children in the household appeared to offer a protective effect. Conversely, individuals in household management roles faced a dramatically increased risk of poor sleep quality. These findings offer preliminary evidence for the potential effectiveness of early interventions and prevention strategies designed to improve sleep quality and reduce social frailty in the elderly.

    Keywords: Sleep-Wake Disorders, Iran, Elderly, Cross-Sectional Studies