Dataset Information

Exploring the most important factors related to self-perceived health among older men in Sweden: a cross-sectional study using machine learning.

ABSTRACT:

Objective

To evaluate which factors are the most strongly related to self-perceived health among older men and describe the shape of the association between the related factors and self-perceived health using machine learning.

Design and setting

This is a cross-sectional study within the population-based VAScular and Chronic Obstructive Lung disease study (VASCOL) conducted in southern Sweden in 2019.

Participants

A total of 475 older men aged 73 years from the VASCOL dataset.

Measures

Self-perceived health was measured using the first item of the Short Form 12. An extreme gradient-boosting model was trained to classify self-perceived health as better (rated: excellent or very good) or worse (rated: fair or poor) using self-reported data on 19 prevalent physician-diagnosed health conditions, intensity of 9 symptoms and 9 demographic and lifestyle factors. Importance of factors was measured in SHapley Additive exPlanations absolute mean and higher scores correspond to greater importance.

Results

The most important factors for classifying self-perceived health were: pain (0.629), sleep quality (0.595), breathlessness (0.549), fatigue (0.542) and depression (0.526). Health conditions ranked well below symptoms and lifestyle variables. Low levels of symptoms, good sleep quality, regular exercise, alcohol consumption and a body mass index between 22 and 28 were associated with better self-perceived health.

Conclusions

Symptoms are more strongly related to self-perceived health than health conditions, which suggests that the impacts of health conditions are mediated through symptoms, which could be important targets to improve self-perceived health. Machine learning offers a new way to assess composite constructs such as well-being or quality of life.

SUBMITTER: Olsson M

PROVIDER: S-EPMC9214374 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundMental health problems among older people are large public health concerns but often go unrecognized and undertreated. During COVID - 19 several restrictions regarding social contacts were launched, primarily for the old. The objective of this study is to investigate which factors that had the main negative affect on mental health in the older population during the pandemic.MethodA cross-sectional cohort study set in Swedish primary care during the pandemic years 2021-2022. The population constitutes of 70-80-years-old, N = 260. Instruments used are Geriatric depression scale 20 (GDS20); Hospital anxiety and depression scale (HADS), and Perceived stress scale 10 (PSS10). Sociodemography and risk factors are explored. Outcome measures are factors independently associated with decreased mental health. Analyses were performed for the group as a whole and with logistic regression models comparing individuals who stated they were mentally affected by the pandemic to individuals who stated they were not.ResultsParticipants who stated they were mentally affected by the COVID - 19 pandemic reported significantly higher levels of anxiety (p < 0.001), depression (p < 0.001), and stress (p = 0.026) compared to those who stated they were not mentally affected. Explanatory regression models of up to 50% showed that following factors were prominent among individuals who reported a decline in their mental health due to the COVID - 19 pandemic (n = 24); impaired social life (OR 20.29, p < 0.001, CI 4.53-90.81), change in physical activity (OR 5.28, p = 0.01, CI 1.49-18.72), perceived family situation (OR 31.90, p = 0,007, CI 2,53-402.42), mild/moderate and high anxiety (OR 4.94, p = 0.034, CI 1.13-21.60, OR 7.96, p = 0.035, CI 1.16-54.53 respectively), and female gender (OR 6.52, p = 0.029, CI 1.22-34.92).ConclusionAnxiety, family situation, social life and change in physical activity were the main factors influencing the 70-80-years-old's self-perceived mental health during the COVID - 19 pandemic. Long-term effects of social restrictions on mental health in the older population need to be further investigated.