scholarly journals Effects of Health-related Factors on the Use of Health Functional Foods

2011 ◽  
Vol 5 (4) ◽  
pp. 27-39 ◽  
Author(s):  
Ji-Heon Choi ◽  
Chang-Hoon You ◽  
Young-Dae Kwon
Keyword(s):  
Functional Foods ◽  
Related Factors ◽  
Health Related

scholarly journals Avoidance of Healthcare Utilization in South Korea during the Coronavirus Disease 2019 (COVID-19) Pandemic

2021 ◽  
Vol 18 (8) ◽  
pp. 4363
Author(s):  
Minjung Lee ◽  
Myoungsoon You
Keyword(s):  
General Population ◽  
South Korea ◽  
Healthcare Utilization ◽  
Online Survey ◽  
Negative Impact ◽  
Sociodemographic Characteristics ◽  
Related Factors ◽  
First Case ◽  
Significant Difference ◽  
Health Related

Avoidance of healthcare utilization among the general population during pandemic outbreaks has been observed and it can lead to a negative impact on population health. The object of this study is to examine the influence of socio-demographic and health-related factors on the avoidance of healthcare utilization during the global outbreak of a novel coronavirus (COVID-19) in 2020. Data were collected through an online survey four weeks after the Korea Centers for Disease Control and Prevention (KCDC) confirmed the first case in South Korea; 1000 subjects were included in the analysis. The logit model for regression was used to analyze the associations between sociodemographic and health-related factors regarding the avoidance of healthcare utilization. Among the participants, 73.2% avoided healthcare utilization, and there was no significant difference in the prevalence of healthcare avoidance between groups with (72.0%) and without (74.9%) an underlying disease. Sociodemographic characteristics (e.g., gender, age, income level, and residential area) were related to healthcare avoidance. Among the investigated influencing factors, residential areas highly affected by COVID-19 (i.e., Daegu/Gyeoungbuk region) had the most significant effect on healthcare avoidance. This study found a high prevalence of healthcare avoidance among the general population who under-utilized healthcare resources during the COVID-19 outbreak. However, the results reveal that not all societal groups share the burden of healthcare avoidance equally, with it disproportionately affecting those with certain sociodemographic characteristics. This study can inform healthcare under-utilization patterns during emerging infectious disease outbreaks and provide information to public health emergency management for implementing strategies necessary to improve the preparedness of the healthcare system.

scholarly journals Health-Related Quality of Life and Related Factors in Persons with Preserved Ratio Impaired Spirometry: Data from the Korea National Health and Nutrition Examination Surve

Medicina ◽  
2020 ◽  
Vol 57 (1) ◽  
pp. 4
Author(s):  
I Re Heo ◽  
Ho Cheol Kim ◽  
Tae Hoon Kim
Keyword(s):  
Quality Of Life ◽  
Low Income ◽  
Control Group ◽  
Poor Hrqol ◽  
Related Factors ◽  
Health And Nutrition ◽  
Prism Group ◽  
Related Quality ◽  
Health Related

Background and Objectives: preserved ratio impaired spirometry (PRISm) is a common spirometric pattern that causes respiratory symptoms, systemic inflammation, and mortality. However, its impact on health-related quality of life (HRQOL) and its associated factors remain unclear. We aimed to identify these HRQOL-related factors and investigate the differences in HROOL between persons with PRISm and those with normal lung function. Materials and Methods: we reviewed the Korea National Health and Nutrition Examination Survey data from 2008 to 2013 to evaluate the HRQOL of persons with PRISm, as measured while using the Euro Quality of Life-5D (EQ-5D) and identify any influencing factors. PRISm was defined as pre-bronchodilator forced expiratory volume in 1 s (FEV1) <80% predicted and FEV1 to forced vital capacity (FVC) ratio (FEV1/FVC) ≥0.7. Individuals with FEV1 ≥80% predicted and FEV1/FVC ≥0.7 were considered as Controls. Results: of the 27,824 participants over the age of 40 years, 1875 had PRISm. The age- and sex-adjusted EQ-5D index was lower in the PRISm group than in the control group (PRISm, 0.930; control, 0.941; p = 0.005). The participants with PRISm showed a significantly higher prevalence of hypertension (p < 0.001), diabetes (p < 0.001), obesity (p < 0.001), low physical activity (p = 0.001), ever-smoker (p < 0.001), and low income (p = 0.034) than those in the control group. In participants with PRISm, lower EQ-5D index scores were independently associated with old age (p = 0.002), low income (p < 0.001), low education level (p < 0.001), and no economic activity (p < 0.001). Three out of five EQ-5D dimensions (mobility, self-care, and usual activity) indicated a higher proportion of dissatisfied participants in the PRISm group than the control group. Conclusions: the participants with PRISm were identified to have poor HRQOL when compared to those without PRISm. Old age and low socioeconomic status play important roles in HRQOL deterioration in patients with PRISm. By analyzing risk factors that are associated with poor HRQOL, early detection and intervention of PRISm can be done in order to preserve patients’ quality of life.

Frailty and Autonomy among the Oldest Old: Evidence from the Multicenter Prospective AgeCoDe-AgeQualiDe Study

Gerontology ◽  
2021 ◽  
pp. 1-8
Author(s):  
André Hajek ◽  
Christian Brettschneider ◽  
Tina Mallon ◽  
Hanna Kaduszkiewicz ◽  
Birgitt Wiese ◽  
...  
Keyword(s):  
Old Age ◽  
Service Use ◽  
Oldest Old ◽  
Strong Association ◽  
Total Sample ◽  
Sociodemographic Factors ◽  
Related Factors ◽  
Clinical Frailty Scale ◽  
Related Quality ◽  
Health Related

Introduction: There is a lack of studies examining the link between perceived autonomy and frailty among the oldest old. Therefore, our objective was to fill this gap. Methods: Data were used from the multicenter prospective cohort study “Needs, health service use, costs and health-related quality of life in a large sample of oldest-old primary care patients (85+)” (AgeQualiDe; follow-up [FU] wave 9; n = 510 observations in the analytical sample). The average age was 90.3 years (SD: 2.7 years). The Canadian Study of Health and Aging (CSHA) Clinical Frailty Scale (CFS) was used to assess frailty. Socioeconomic and health-related covariates were included in our regression model. The autonomy scale developed by Schwarzer was used to assess perceived autonomy in old age. Results: Adjusting for various confounders, multiple linear regressions showed that lower perceived autonomy was associated with increased levels of frailty (total sample: β = −0.13, p < 0.001; women: β = −0.14, p < 0.001; and men: β = −0.12, p < 0.001). Furthermore, lower perceived autonomy was associated with more depressive symptoms, higher cognitive impairment, and being institutionalized (except for men) in the total sample and in both sexes, but it was not significantly associated with age, sex, marital status, educational level, and social support. Conclusion: Findings indicate that frailty is associated with lower autonomy among the oldest old. More generally, while health-related factors were consistently associated with autonomy, sociodemographic factors (except for being institutionalized) were not associated with autonomy among the oldest old. We should be aware of the strong association between autonomy and physical as well as mental health in very old age.

Oral health related quality of life and it’s related factors of stroke patients at home in Korea

2015 ◽  
Vol 61 (3) ◽  
pp. 523-528 ◽  
Author(s):  
Eun-Jin Jang ◽  
Eun-Kyong Kim ◽  
Kyeong-Soo Lee ◽  
Hee-Kyung Lee ◽  
Youn-Hee Choi ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Oral Health ◽  
Health Related Quality ◽  
Stroke Patients ◽  
Related Factors ◽  
Related Quality ◽  
Health Related ◽  
At Home

scholarly journals Health-related factors on tobacco consumption in Turkey

2020 ◽  
Vol 50 (5) ◽  
Author(s):  
Nuray Demir ◽  
Abdulbaki Bilgic ◽  
Okan Demir ◽  
Adem Aksoy
Keyword(s):  
Prevalence Rate ◽  
Statistical Tests ◽  
Tobacco Consumption ◽  
Hurdle Model ◽  
Related Factors ◽  
Consumption Level ◽  
Double Hurdle Model ◽  
Hyperbolic Sine ◽  
Health Related ◽  
Double Hurdle

ABSTRACT: In this study, we analyzed the role of individuals’ health-related factors along with socio-demographic and economic characteristics on both the likelihood of tobacco consumption and quantity demanded levels using two competitive econometric methods: double hurdle model versus hyperbolic sine double-hurdle model. Statistical tests confirmed the dependency errors between the prevalence rate of smoking and the consumption level, whilst the inverse-hyperbolic sine double-hurdle model data fits best in describing the normalization of the data and the two data generating processes: the probability and consumption levels of cigarettes. Also, the variance-covariance of the selected model as a function of additional exogenous variables are confirmed, while the error terms between the likelihood to smoke and the consumption levels are positive and statistically significant, indicating that holding control variables fixed, the uncontrolled variables out of the system that increase the prevalence rate of smoking also boost the consumption level, or vice versa. Many individual disease variables are significant in both equations, breaking new grounds in literature for identifying how both the prevalence rate of smoking and amount have shaped.

scholarly journals Sleep Quality and Its Associated Factors among Low-Income Adults in a Rural Area of China: A Population-Based Study

2018 ◽  
Vol 15 (9) ◽  
pp. 2055 ◽  
Author(s):  
Wenwen Wu ◽  
Wenru Wang ◽  
Zhuangzhuang Dong ◽  
Yaofei Xie ◽  
Yaohua Gu ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Low Income ◽  
Rural Areas ◽  
Population Based ◽  
Poor Sleep ◽  
Chinese Adults ◽  
Poor Sleep Quality ◽  
Related Factors ◽  
Health Related ◽  
The Mean

Background: There is limited population-based research focusing on sleep quality among low-income Chinese adults in rural areas. This study aimed to assess sleep quality among low-income adults in a rural area in China and identify the association between sleep quality and sociodemographic, lifestyle and health-related factors. Methods: The study was conducted from September to November in 2017 using a cross-sectional survey questionnaire. A total of 6905 participants were recruited via multistage, stratified cluster sampling. Data were collected using the Chinese versions of Pittsburgh Sleep Quality Index and Food Frequency Questionnaire, while we also determined the sociodemographic profiles of the participants. Results: The mean age of the sample was 58.71 ± 14.50 years, with 59.7% being male, while the mean duration of daily sleep was 5.95 ± 1.31 h, with 56.7% reportedly experiencing poor sleep quality. Multiple regression analysis revealed that older age, unemployment, lower income, disability and chronic disease comorbidities were significant factors associated with an increased risk of poor sleep quality for both genders. Moreover, married and higher education level were associated with decreased risk of poor sleep quality for females, while a meat-heavy diet and illness during the past two weeks increased the risk of poor sleep quality for males. Conclusions: Sociodemographic, lifestyle and health-related factors had an impact on the frequently poor sleep quality of low-income Chinese adults in rural areas. Thus, comprehensive measures must be developed to address the modifiable predictive factors that can possibly enhance sleep quality.

LIVING AND HEALTH CONDITIONS ASSOCIATED WITH OVERWEIGHT AND OBESITY AMONG ELDERLY

2015 ◽  
pp. 1-9
Author(s):  
B.F. DO NASCIMENTO JACINTO DE SOUZA ◽  
L. MARÍN-LEON
Keyword(s):  
Chronic Diseases ◽  
Eating Behaviors ◽  
Multinomial Logistic Regression ◽  
The Elderly ◽  
Cross Sectional Study ◽  
Overweight And Obesity ◽  
Related Factors ◽  
Cross Sectional ◽  
Increased Risk ◽  
Health Related

Background: The epidemiological and nutritional transition processes in the last decades underlie the rising trend of obesity in the elderly and is related to increased risk of chronic non-communicable diseases and decreased functional status. Objective: To analyze the association of demographic, socioeconomic, lifestyle and health-related factors with overweight and obesity in elderly. Design: Cross-sectional study. Setting: Carried out in Campinas-São Paulo, Brazil, in 2011. Participants: 452 non-institutionalized elderly (aged ≥60 years), half were users of a government-run soup kitchen and the other half were neighbors of the same sex. Results:Overweight frequency (BMI ≥25 and <30 kg/m2) was 44.5% and obesity (BMI ≥30 kg/m2) was 21.7%. In the multiple multinomial logistic regression model adjusted for sex, age group and economic class, there was greater chance of overweight among those that reported dyslipidemia; those that reported arthritis/ arthrosis/rheumatism and that once or more per week replaced supper by a snack were more likely to be obese. Elderly who did not leave home daily and reported diabetes had higher chance of overweight and obesity. Conclusions: Overweight and obesity are associated with worse living and health-related conditions, such as physical inactivity, changes in eating behaviors, and chronic diseases. Public health policies should encourage regular physical activity and healthy eating behaviors, focusing on traditional diet, through nutritional education, in order to reduce the prevalence of overweight and obesity and chronic diseases.

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