Statistical modelling of mental distress among rural and urban seniors.
The senior population is growing rapidly in Canada. Consequently, there will be an increased demand for health care services for seniors who have mental illness. Seniors are more likely to live in rural areas than younger people; therefore, it is important to identify the differences between rural and urban seniors in order to design and deliver mental health services. The main objective of this paper was to use the National Population Health Survey (NPHS) to examine the differences with regard to mental distress between rural and urban seniors (i.e. 55 years and older). The other objectives were to investigate the long-term association between smoking and mental health and the long-term association between unmet health care needs and the mental health of seniors in rural and urban areas. The mental distress measure was examined as a binary outcome. The analysis was conducted using a generalized estimating equation approach that accounted for the complexity of a multi-stage survey design. Rural seniors reported a higher proportion of mental distress [OR=1.16; 95% CI: 0.98, 1.37] with a borderline statistical significance than urban seniors. This finding was based on a final multivariate model to study the relationship between mental distress and location of residence(i.e. rural or urban) as well as between smoking and self-perceived unmet health care needs, adjusting for other important covariates and missing outcome values. A significant correlation was noted between smoking and mental health problems among seniors after adjusting for other covariates [OR = 1.26; 95% CI: 1.00, 1.60]. Participants who reported self-perceived unmet health care needs reported a higher proportion of mental distress [OR = 1.72; 95% CI: 1.38, 2.13] compared to those who were satisfied with their health care.
Karunanayake
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Canadian Centre for Health and Safety in Agriculture, University of Saskatchewan, SK, Canada. cpk646@mail.usask.ca
Pahwa
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D000328:Adult; D017677:Age Distribution; D000368:Aged / Q000523:psychology / Q000706:statistics & numerical data; D001294:Attitude to Health; D002170:Canada / Q000453:epidemiology; D005260:Female; D006301:Health Services Needs and Demand; D006306:Health Surveys; D006801:Humans; D008297:Male; D008603:Mental Health / Q000706:statistics & numerical data*; D008875:Middle Aged; D015233:Models, Statistical; D015999:Multivariate Analysis; D011159:Population Surveillance; D015995:Prevalence; D012111:Residence Characteristics / Q000706:statistics & numerical data; D012423:Rural Health / Q000706:statistics & numerical data*; D017678:Sex Distribution; D012907:Smoking / Q000009:adverse effects / Q000453:epidemiology; D013315:Stress, Psychological / Q000453:epidemiology / Q000523:psychology; D014504:Urban Health / Q000706:statistics & numerical data*