dede efendy
Universitas Islam Indonesia

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OVERVIEW OF BLOOD PRESSURE AND BLOOD SUGAR LEVELS INELDERLY PEOPLE AT THE SINDUADI VILLAGE Utami Utami; dede efendy
International Journal of Nursing and Midwifery Science (IJNMS) Vol. 9 No. 3 (2025): VOLUME 9 ISSUE 3 DECEMBER 2025
Publisher : Departement Research and Community Engagement Bina Sehat PPNI Institute of Health Science, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29082/IJNMS/2025/Vol9/Iss3/752

Abstract

This study aims to describe the status of blood pressure and blood sugar levelsamong elderly people at the Sinduadi Health Center. A descriptive quantitativemethod with a cross-sectional design was used, involving 97 elderlyrespondents selected through total sampling. Data collection included directmeasurement of systolic and diastolic blood pressure as well as random bloodglucose levels. The results showed that the average age of respondents was67.36 ± 6.55 years, with an average systolic blood pressure of 133.63 ± 16.66mmHg and diastolic blood pressure of 75.12 ± 11.50 mmHg. The mean bloodglucose level was 140.03 ± 70.83 mg/dL. Most respondents were classified aspre-hypertensive (49.5%), followed by hypertensive (30.9%) and normal(19.6%), while for blood glucose, 62.9% were normal, 22.7% pre-diabetic,and 14.4% diabetic. The findings indicate that elderly people at the SinduadiHealth Center tend to experience increased blood pressure and blood glucoselevels with age. This pattern emphasizes the importance of routine monitoringof blood pressure and blood sugar levels and the implementation of healtheducation programs for lifestyle modification to prevent the progression ofnon-communicable diseases such as hypertension and diabetes mellitusamong the elderly population.
The Impact of GNI per Capita on the Prevalence and Incidence of Anxiety and Depressive Disorders: A Global Analysis Using GBD 2023 Data Dede Efendy; Utami Utami; Vita Widyasari; Yoga Saputra; Yuni Asnaini
Jurnal Medical Laboratory Vol. 5 No. 2 (2026): Juli: Jurnal Medical Laboratory
Publisher : Sekolah Tinggi Ilmu Kesehatan Kesetiakawanan Sosial Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57213/medlab.v5i2.573

Abstract

Mental health disorders, particularly depression and anxiety, continue to contribute significantly to the global burden of disease and disability. Socioeconomic inequality, especially differences in Gross National Income (GNI) per capita, is considered an important determinant influencing mental health outcomes across countries and regions. This study aimed to analyze the relationship between GNI per capita and the prevalence of depression and anxiety disorders globally using data from the Global Burden of Disease (GBD) 2023 database. A descriptive ecological study design was employed using secondary data from 187 countries and regions. Data were analyzed using descriptive statistics, Spearman correlation analysis, and regional comparative analysis with ANOVA. The findings demonstrated substantial regional disparities in mental health burden and income distribution. Africa showed the highest average prevalence of depression, while Asia exhibited the greatest variability in anxiety disorders. A statistically significant negative correlation was found between depression and income levels (r = -0.213; p = 0.003), indicating that lower-income countries tend to experience higher levels of depression. In contrast, the relationship between anxiety and income was weak and not statistically significant (r = -0.079; p = 0.281), suggesting that anxiety disorders may also be influenced by social, cultural, and structural factors beyond economic conditions. Significant regional differences were also identified for both depression and income levels. These findings highlight the importance of addressing socioeconomic inequalities and strengthening mental health systems, particularly in low- and middle-income countries. Integrating mental health services into primary healthcare and implementing multisectoral policies that combine economic development, social protection, and accessible healthcare are essential strategies for reducing the global burden of mental disorders and improving population well-being.