Epidemiology and Health

Original Articles

Characteristics of depressive symptoms in middle-aged family members of dementia patients: 2017 Korea Community Health Survey: Jinbeom Park, Won-Chul Lee, Hyunsuk Jeong, Nayoung Hong, BoYoung Bae, Hyeon Woo Yim; Epidemiol Health. 2020;42:e2020031. Published online May 15, 2020; DOI: https://doi.org/10.4178/epih.e2020031

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Abstract

OBJECTIVES
The characteristics of depressive symptoms in the family members of home-dwelling patients with dementia have not been clearly reported. This study aimed to investigate the characteristics of depressive symptoms in middle-aged family members living with a patient with dementia.

METHODS

This study used the data from the nationwide 2017 Korea Community Health Survey. Among the 228,381 survey participants, 77,276 participants in their 40s and 50s were finally selected for this study. The participants consisted of 760 family members of home-dwelling dementia patients and 76,516 general family members comprising a control group.

RESULTS

The positive rate of Patient Health Questionnaire-9 (PHQ-9)-measured depressive symptoms was significantly higher in the family members of home-dwelling dementia patients (4.4%; control group: 1.9%). After adjusting for potential confounders, the prevalence of PHQ-measured depressive symptoms was 1.72 times (95% confidence interval [CI], 1.03 to 2.85) higher in the family members of home-dwelling dementia patients compared to the control group. The positive rate of depressive symptoms was 2.26 times higher (95% CI, 1.26 to 4.05) in the female middle-aged family members of home-dwelling dementia patients compared to the control group. In addition, those who reported having symptoms almost every day in the PHQ-9 questions had significantly higher positive rates on questions about loss of interest, depression, sleep disturbance, fatigue, poor appetite, and suicidal ideation, and not on questions regarding feelings of worthlessness and psychomotor agitation, compared to the control group.

CONCLUSIONS

Active interventions are needed to relieve depression in the family members of home-dwelling dementia patients.

Summary

Citations

Citations to this article as recorded by

Sleep Quality and Depressive Symptoms in Caregivers of Persons with Dementia: A Systematic Review
Rayhanah R. Almutairi, Jaclene A. Zauszniewski
Issues in Mental Health Nursing.2023; 44(6): 538. CrossRef
Depression before and during-COVID-19 by Gender in the Korean Population
Won-Tae Cha, Hye-Jin Joo, Yu-Shin Park, Eun-Cheol Park, Soo-Young Kim
International Journal of Environmental Research and Public Health.2022; 19(6): 3477. CrossRef
A Study on Complementary Policy to Enhance the Effectiveness of National Dementia Policy in Terms of Medical Services
Su Jeong Seong, Kang Joon Lee, Woo Jung Kim, Kiwon Kim, Dong Woo Lee
Journal of Korean Neuropsychiatric Association.2021; 60(4): 396. CrossRef

Factors Associated with Insulin Resistance in a Middle-Aged Non-Obese Rural Population: The Chungju Metabolic Disease Cohort (CMC) Study: Sun Young Lim, Hee Sung Ha, Hyuk-Sang Kwon, Jin-Hee Lee, Hyeon Woo Yim, Kun-Ho Yoon, Won-Chul Lee, Ho-Young Son, Yong-Moon Park; Epidemiol Health. 2011;33:e2011009. Published online September 26, 2011; DOI: https://doi.org/10.4178/epih/e2011009

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Abstract

<sec><title>OBJECTIVES</title>We aimed to determine the characteristics affecting insulin resistance in non-obese middle-aged adults in a rural community.</sec><sec><title>METHODS</title>A total of 1,270 non-diabetic adults aged between 40 and 64 years old with body mass index (BMI) less than 25 kg/m2 were analyzed. Subjects with insulin resistance were defined as those who had the highest quartile value of the homeostasis model assessment of insulin resistance (HOMA-IR) in a non-diabetic population.</sec><sec><title>RESULTS</title>A total of 217 subjects (20.6%) had insulin resistance. Prevalence of metabolic syndrome was significantly higher in insulin-resistant subjects in both men (29.3% vs. 10.3%) and women (34.1% vs. 15.6%). Among metabolic syndrome components, elevated waist circumference and elevated triglyceride were higher in insulin-resistant subjects in both genders. After being controlled for socioeconomic status and lifestyle related covariates, the association between insulin resistance and BMI was statistically significant in the category of 23.0-24.9 kg/m2 in men (adjusted OR, 4.63; 95% confidence interval [95% CI], 1.77-12.15) using the category of 18.5-20.9 kg/m2 as a reference. In addition, the association between insulin resistance and abdominal obesity was statistically significant only for men (adjusted OR, 2.57; 95% CI, 1.29-5.11).</sec><sec><title>CONCLUSION</title>Insulin resistance appears to be highly associated with high BMI and abdominal obesity, even in non-obese, non-diabetic middle-aged men.</sec>

Summary

Citations

Citations to this article as recorded by

Relapsing-remitting multiple sclerosis patients display an altered lipoprotein profile with dysfunctional HDL
Winde Jorissen, Elien Wouters, Jeroen F. Bogie, Tim Vanmierlo, Jean-Paul Noben, Denis Sviridov, Niels Hellings, Veerle Somers, Roland Valcke, Bart Vanwijmeersch, Piet Stinissen, Monique T. Mulder, Alan T. Remaley, Jerome J. A. Hendriks
Scientific Reports.2017;[Epub] CrossRef
Insulin Resistance of Normal Weight Central Obese Adolescents in Korea Stratified by Waist to Height Ratio: Results from the Korea National Health and Nutrition Examination Surveys 2008–2010
Won Kyoung Cho, Hyojin Kim, Hyun Young Lee, Kyung Do Han, Yeon Jin Jeon, In Ah Jung, Shin Hee Kim, Kyoung Soon Cho, So Hyun Park, Min Ho Jung, Byung-Kyu Suh
International Journal of Endocrinology.2015; 2015: 1. CrossRef
Impact of ENPP1 K121Q on Change of Insulin Resistance after Web-Based Intervention in Korean Men with Diabetes and Impaired Fasting Glucose
Ji Yeon Kang, Sook Hee Sung, Yeon Ju Lee, Tae In Choi, Seung Jin Choi
Journal of Korean Medical Science.2014; 29(10): 1353. CrossRef
Genetic determinants of cardiometabolic risk: A proposed model for phenotype association and interaction
Piers R. Blackett, Dharambir K. Sanghera
Journal of Clinical Lipidology.2013; 7(1): 65. CrossRef

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