BACKGROUND: Hypertension is still a health problem both in developed and developing countries. Hypertension can cause various complications; one of them is cognitive function impairment. AIM: This study aimed to look at the relationship of hypertension with cognitive function. This research can also be useful to help optimise the health of the elderly, maximise quality of life and avoid hypertension as a risk factor for cognitive impairment in the elderly at the Karya Kasih Nursing Homes, Medan from May to June 2018. METHODS: This research was carried out by analytic observational with cross-sectional research approach. In this study, 57 elderly from Karya Kasih Nursing Homes Medan who met the inclusion and exclusion criteria participated. Assessment of cognitive function used Mini-Mental State Examination (MMSE), Six Item Cognitive Impairment Test (6CIT) and Abbreviated Mental Test Score (AMT) instruments. RESULT: This study obtained a significant relationship between the history of hypertension with impaired cognitive function (p = 0.003). The results of the cognitive function examination with MMSE showed that among 57 elderly, 16 people (43.2%) were normal and 21 people (56.8%) had impaired cognitive function in the first degree hypertension group, besides that, 3 people were normal (15%) and 7 people (85%) had impaired cognitive function in the second degree hypertension group (p = 0.031). Based on the result of mild and severe cognitive function impairment, among 12 people (57.1%) and 9 people (42.9%) had a mild and severe cognitive function impairment, respectively, in first-degree hypertension. 3 people (17.6%) and 14 people (82.4%) had a mild and severe cognitive function impairment, respectively, in the second-degree hypertension (p = 0.013). The 6-CIT instrument also showed a significant relationship between the severity of hypertension and impaired cognitive function (p = 0.027), and there was no significant relationship with AMT instruments (p = 0.078). CONCLUSION: There was a relationship between the history or duration and degree of hypertension with cognitive dysfunction in the elderly at the Karya Kasih Nursing Home Medan.
Background: Anemia is a condition where the hemoglobin level in the blood was lower than normal. Anemia diagnosed when the hemoglobin level was <11 gr / dl in the first and third trimesters or <10.5 gr% in the second trimester in pregnant women. WHO stated in 2010 that 40% of the causes of maternal mortality in developing countries were associated with anemia in pregnancy. Based on the Riskesdas (Basic Health Research) in 2013, the prevalence of anemia in pregnant women in Indonesia was 37.1%. One of the factors that influenced the incidence of anemia in pregnant women was the socio-economic level. The purpose of this study was to determine the relationship between socio-economic level and the incidence of anemia in pregnant women at the Glugur Darat Health Center. Subjects and Method:This was an analytical study with a cross sectional approach, conducted at Glugur Darat health center, Medan in 2018. Total 65 pregnant women were selected by consecutive sampling. The independent were the education level, job status, income level. The dependent variable was the incidence of anemia in pregnant women. Data obtained by a set of questionnaire. The data analysis was conducted using Chi Square test. Results: As many as 40 pregnant women (61.5%) had anemia and 25 (38.5%) who were not anemic. 34 people (85.0%) among pregnant women with anemia was in the non-risk group, and 22 people in the Multi-gravida group (55.0%), 16 (40.0%) people in the Primipara group, 27 people (67.5%) in Trimester gestational age III. As many as 28 people (70.0%) had secondary education. Based on occupational 31 people (77.5%) was not working, 19 people (47.5%) had medium income. Conclusion:There was no significant relationship between the level of education, occupational status, and income level with the incidence of anemia in pregnant women.
BACKGROUND: Obesity is a multifactorial disease that is dangerous and is a factor in the emergence of serious diseases such as dyslipidemia, stroke, coronary heart disease and others. In Type 2 Diabetes Mellitus (T2DM) patients there is a disorder of lipid metabolism, namely dyslipidemia. Changes in lipid profile that occurred were an increase in total cholesterol levels, Low-Density Lipoprotein (LDL), and triglycerides, and decreased levels of high-density lipoprotein (HDL). The phenomenon of an increase in T2DM patients in Indonesia caused double mortality in recent decades. AIM: This study was to determine the relationship between obesity and lipid profile in T2DM patients at Pirngadi Medan Hospital in 2018. METHODS: This study was conducted in an observational analytic with a cross-sectional study approach. Fifteen obese patients with T2DM who were treated at the Endocrine and Metabolic Polyclinic in Pirngadi General Hospital Medan from January to December 2018 were recruited into the study sample. RESULT: Based on the analysis using the results of a one-way correlative analytical test showing that there was a positive correlation between obesity and total cholesterol levels (r = 0.209; p = 0.455) and LDL levels (r = 0.335; p = 0.222) but not significant. There was a negative correlation between obesity and HDL levels (r = -0.072; p = 0.798) and triglyceride levels (r = -0.025; p = 0.930) but not significant. There was no significant relationship between obesity and blood glucose levels (r = 0.463; p = 0.082). This study concluded that there was no significant relationship between obese patients and lipid profiles in T2DM patients. CONCLUSION: Obesity positively correlates with blood glucose level, but its correlation with a lipid profile is not reliable.
Background: Diabetes Mellitus (type 2 DM) is now ranked first in health problems. The Diabetes Control and Complication Trial (DCCT) study showed that lowering HbA1c rates may delay or prevent chronic complications. One of the risk factors for CHD in type 2 DM is dyslipidemia, i.e lipid metabolism disorders in the form of elevated total cholesterol, triglyceride (TG), low-density lipoprotein (LDL), and decreased levels of high-density lipoprotein (HDL). Description of dyslipidemia in type 2 DM most frequently found is an increase in TG levels and decreased HDL levels. Research showed hyperglycemic conditions have an effect on the condition of blood vessels. This study aimed to determine the correlation between HBA1C and lipid profile in patients with type 2 DM. Subjects and Method: This was an analytic observational study with a crosssectional design. The study was conducted at the Endocrinology and Metabolic polyclinic Pirngadi Hospital, Medan, North Sumatera, from January to February 2018. A total sample of 10 type 2 diabetes mellitus was selected for this study. The independent variables were lipid profile including total cholesterol, high density lipoprotein (HDL), low density lipoprotein (LDL), and trygliceride. The dependent variable was HbA1c level. Lipid profile was measured by blood serum examination. The data of type 2 diabetes mellitus were taken from medical record. HbA1c level was measured by blood examination. The data were analyzed by Pearson correlation. Results: HbA1c was positively correlated with blood sugar levels and was statistically significant (r= 0.12; p= 0.005). HbA1c correlated weakly and was statistically insignificant with total cholesterol (r= 0.14, p= 0.702), LDL (r= 0.15; p= 0.683), HDL (r= 0.04; p= 0.922), and triglycerides (r= 0.06; p= 0.860). Conclusion: HbA1c correlates with blood sugar levels but does not show correlation with lipid profiles.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.