Health Predictors of Pain in Elderly—A Serbian Population-Based Study

Objectives: The aim of our study was to evaluate the association of health factors with the presence and different degrees of pain in elderly above 65 years of life. Methods: The population-based study included 3540 individuals above 65 years of age of life from twofold stratified household sample representative for Serbia, during 2013 (the average age 73.9 ± 6.3 years; average Body Mass Index was 26.7 ± 4.4, females 56.8%, living with partner 55.5%, with primary education 55.3%, with poor wealth index 55.8% and from rural settings 46.2%). As health predictors of pain, we analyzed further health parameters: self-perceived general health, long-lasting health problems, diagnosed pulmonary disease, cardiovascular disease, musculoskeletal disease, diabetes, hyperlipidemia, hypertension and other chronic diseases. Pain domain of SF-36 version 2.0 was used for pain assessment. Results: Significant health predictors of pain were: self-perceived general health (OR 2.28), where bad perception of self-perceived general health in our study had greater risk of pain with higher degree of severity; long-lasting health problems (OR 1.60), where elderly with long-lasting health problems had almost twice the risk of moderate degree of pain, and above twice the risk for severe degree of pain; pulmonary disease (OR 1.38); musculoskeletal disease (OR 2.98) and other chronic diseases (OR 1.71). The presence of musculoskeletal disease increases the risk for pain, even more than double in severe versus mild degrees of pain. Conclusion: Bad self-perceived general health, long-lasting health problems, pulmonary, musculoskeletal diseases, cardiovascular disease and other chronic disease were significant health-related predictors of various degrees of pain in elderly.

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Socioeconomic Factors, Chronic Diseases and Lifestyle Habits Associated with Cardiovascular Disease in Southern Brazil: A Population-Based Study with the Elderly.

International Journal of Epidemiology ◽

10.1093/ije/dyv096.322 ◽

2015 ◽

Vol 44 (suppl_1) ◽

pp. i200-i200

Author(s):

I. J. Schneider ◽

M. W. Giehl ◽

D. L. Antes ◽

L. P. Marques ◽

E. d'Orsi

Keyword(s):

Cardiovascular Disease ◽

Socioeconomic Factors ◽

Chronic Diseases ◽

The Elderly ◽

Population Based ◽

Southern Brazil ◽

Lifestyle Habits ◽

Population Based Study

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Faculty Opinions recommendation of Suicidal ideation, mental health problems, and social impairment are increased in adolescents with acne: a population-based study.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.8237959.8397054 ◽

2011 ◽

Author(s):

Gabriella Fabbrocini

Keyword(s):

Mental Health ◽

Suicidal Ideation ◽

Mental Health Problems ◽

Population Based ◽

Health Problems ◽

Social Impairment ◽

Population Based Study

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Very similar cardiometabolic profile in the moderate and high cardiovascular risk classes: a population-based study

European Journal of Preventive Cardiology ◽

10.1093/eurjpc/zwab061.227 ◽

2021 ◽

Vol 28 (Supplement_1) ◽

Author(s):

M Chlabicz ◽

J Jamolkowski ◽

W Laguna ◽

P Sowa ◽

M Paniczko ◽

...

Keyword(s):

Insulin Resistance ◽

Cardiovascular Disease ◽

Cardiovascular Risk ◽

High Risk ◽

Population Based ◽

Low Risk ◽

Public Institution ◽

Population Based Study ◽

The Metabolic Syndrome ◽

Cardiometabolic Profile

Abstract Funding Acknowledgements Type of funding sources: Public Institution(s). Main funding source(s): Medical University of Bialystok, Poland Background Cardiovascular disease (CVD) is a major, worldwide problem and remain the dominant cause of premature mortality in the word. Simultaneously the metabolic syndrome is a growing problem. The aim of this study was to investigate the cardiometabolic profile among cardiovascular risk classes, and to estimate CV risk using various calculators. Methods The longitudinal, population-based study, was conducted in 2017-2020. A total of 931 individuals aged 20-79 were included. Anthropometric and biochemical profiles were measured according to a standardized protocols. The study population was divided into CV risk classes according to the latest recommendation. Comparisons variables between subgroups were conducted using Dwass-Steele-Critchlow-Fligner test. To estimate CV risk were used: the Systematic Coronary Risk Estimation system, Framingham Risk Score and LIFEtime-perspective model for individualizing CardioVascular Disease prevention strategies in apparently healthy people (LIFE-CVD). Results The mean age was 49.1± 15.5 years, 43.2% were male. Percentages of low-risk, moderate-risk, high-risk and very-high CV risk were 46.1%, 22.8%, 13.5%, 17.6%, respectively. Most of the analyzed anthropometric, body composition and laboratory parameters did not differ between the moderate and high CV risk participants, whereas the low risk group differed significantly. In the moderate and high-risk groups, abdominal distribution of adipose tissue dominated with significantly elevated parameters of insulin resistance. Interestingly, estimating lifetime risk of myocardial infarction, stroke or CV death using LIFE-CVD calculator yielded similar results in moderate and high CV risk classes. Conclusion The participants belonging to moderate and high CV risk classes have a very similar unfavorable cardiometabolic profile which may result in the similar lifetime CV risk. This may imply the need for more aggressive pharmacological and non-pharmacological management of CV risk factors in the moderate CV risk population. It would be advisable to consider combining the moderate and high risk classes into one high CV risk class, or it may be worth adding one of the parameters of abdominal fat distribution to the CV risk calculators as an expression of increased insulin resistance. Abstract Figure 1.

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