Subjective Health Status and the Number of Caries in Permanent Teeth(DMFT) in the Elderly

AbstractSeveral research works in the related international literature on sociology and health sciences deal with the state of health in one selected population. In these studies, the chosen sample is often connected with special jobs, especially with healthcare professionals and their working conditions. These studies predominantly examine the self-rated subjective health status using questionnaires. There are others that assess the state of health based not only on self-rated subjective indicators, but also using objective data gained by measuring. Considering the international experiences, we chose a special population in our research – healthcare professionals working in an institute for chronically ill psychiatric patients. Our choice was influenced by the fact that we wanted to include their unique working conditions when exploring and assessing their health status. Moreover, our approach was to assess the objective state of health alongside the subjective factors, as our hypothesis was that the majority of the indicators presumably coincided. The data were collected with the help of three questionnaires and some indicators of the objective health statuses were measured. The findings were processed using the SPSS 17.0 mathematical-statistical software package. Following the descriptive statistics, we applied hierarchic cluster-analysis based on results of the WHOQOLD-BREF26 life-quality questionnaire, the WHO WBI-5 Well Being Index, and on the body composition analysis. The results show the objective and subjective health status of population and the factors that influenced it; the working conditions and the interpersonal contacts in the workplace. The conclusion was that in the examined population the subjective and objective health status doesn’t coincide.

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Development of a Nomogram for Predicting Depression in the Elderly Using Patient Health Questionnaire-9 among a Nationwide Sample of Korean Elderly

Journal of Personalized Medicine ◽

10.3390/jpm11070645 ◽

2021 ◽

Vol 11 (7) ◽

pp. 645

Author(s):

Haewon Byeon

Keyword(s):

Depressive Disorders ◽

The Elderly ◽

Subjective Health ◽

Moderate Intensity ◽

Subjective Health Status ◽

Major Depressive ◽

Moderate Intensity Physical Activity ◽

Patient Health ◽

Intensity Physical Activity ◽

Major Depressive Disorders

This cross-sectional study developed a nomogram that could allow medical professionals in the primary care setting to easily and visually confirm high-risk groups of depression. This study analyzed 4011 elderly people (≥60 years old) who completed a health survey, blood pressure, physical measurement, blood test, and a standardized depression screening test. A major depressive disorder was measured using the Korean version of the Patient Health Questionnaire (PHQ-9). This study built a model for predicting major depressive disorders using logistic regression analysis to understand the relationship of each variable with major depressive disorders. In the result, the prevalence of depression measured by PHQ-9 was 6.8%. The results of multiple logistic regression analysis revealed that the major depressive disorder of the elderly living alone was significantly (p < 0.05) related to monthly mean household income, the mean frequency of having breakfast per week for the past year, moderate-intensity physical activity, subjective level of stress awareness, and subjective health status. The results of this study implied that it would be necessary to continuously monitor these complex risk factors such as household income, skipping breakfast, moderate-intensity physical activity, subjective stress, and subjective health status to prevent depression among older adults living in the community.

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