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Published in: BMC Geriatrics 1/2017

Open Access 01-12-2017 | Research Article

The role of gender in the active attitude toward treatment and health among older patients in primary health care—self-assessed health status and sociodemographic factors as moderators

Authors: Joanna Chylińska, Magdalena Łazarewicz, Marta Rzadkiewicz, Mirosława Adamus, Mariusz Jaworski, Gørill Haugan, Monica Lillefjel, Geir A. Espnes, Dorota Włodarczyk

Published in: BMC Geriatrics | Issue 1/2017

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Abstract

Background

Active attitude toward treatment and health (ATH) leads to improved cooperation and better health outcomes in patients. Supporting it in the population of older adults is a growing need in primary care. Recognising the role of gender, health and other sociodemographic factors can help to distinguish patients who need the most assistance in activation from general practitioners (GPs). The objective of the study was to investigate gender differences in ATH as well as the moderating role of self-assessed health (SAH) and selected sociodemographic factors (age, education, financial status, marital status).

Methods

A cross-sectional, multicentre study among 4936 primary care older patients (aged 50+) was conducted. The PRACTA-Attitude toward Treatment and Health questionnaire (PRACTA-ATH) was used to measure the cognitive, emotional (positive and negative affect), and motivational dimensions of ATH. Patients were approached before and after their visits in the primary health-care facilities randomly selected in Central Poland.

Results

Generalised linear models (GENLIN) revealed the main effects of gender, SAH, and sociodemographic characteristics, such as financial status, marital status and education. Interaction effects of gender and age (Wald’s χ2 = 24.767, p < 0.001 for ATH Global), as well as gender and SAH (Wald’s χ2 = 16.712, p < 0.002 for ATH Global) on ATH were found. The most assistance in regard to ATH was required by men aged 50–74 and men declaring good self-assessed health. Generally, women declared a more active attitude than men, showing more knowledge (M = 5.40, SD = 0.07 and M = 5.21, SD = 0.07, for women and men, respectively, p = 0.046), positive emotion (M = 5.55, SD = 0.06 and M = 5.33, SD =0.06, for women and men, respectively, p = 0.015) and motivation to be involved in their health issues (M = 5.71, SD = 0.07 and M = 5.39, SD = 0.07, for women and men, respectively, p = 0.001). The level of negative emotions related to health was not significantly different between genders (p = 0.971).

Conclusions

The need to create health promoting programmes taking account of particular gender differences in older adults emerges. In regard to clinical practice, building a sense of efficacy and individual responsibility for health, providing information about the means of health promotion and prevention, and recognising health-related cognitions, is recommended especially for men who feel well and are less advanced in age (50–74).
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Literature
5.
go back to reference Thompson TL, Robinson JD, Beisecker AE: The older patient-physician interaction. In Handbook of communication and aging research. Edited by Nussbaum JF, Coupland J. Mahwah. NJ: Lawrence Erlbaum Associates; 2004:451–577. Thompson TL, Robinson JD, Beisecker AE: The older patient-physician interaction. In Handbook of communication and aging research. Edited by Nussbaum JF, Coupland J. Mahwah. NJ: Lawrence Erlbaum Associates; 2004:451–577.
7.
go back to reference Jakubowska-Winecka A, Włodarczyk D. Psychologiczne aspekty choroby i chorowania [psychological aspects of illness and being ill]. In: Jakubowska-Winecka A, Włodarczyk D, editors. Psychologia w praktyce medycznej [psychology in medical practice]. Warsaw: Wydawnictwo Lekarskie PZWL; 2007. p. 94–126. Polish. Jakubowska-Winecka A, Włodarczyk D. Psychologiczne aspekty choroby i chorowania [psychological aspects of illness and being ill]. In: Jakubowska-Winecka A, Włodarczyk D, editors. Psychologia w praktyce medycznej [psychology in medical practice]. Warsaw: Wydawnictwo Lekarskie PZWL; 2007. p. 94–126. Polish.
8.
go back to reference Sint Nicolaas SM, Schepers SA, van den Bergh EEM, Evers AWM, Hoogerbrugge PM, Grootenhuis MA, Verhaak CM. Illness cognitions and family adjustment: psychometric properties of the illness cognition questionnaire for parents of a child with cancer. Support Care Cancer. 2016;24:529–37. doi:10.1007/s00520-015-2795-5.CrossRefPubMed Sint Nicolaas SM, Schepers SA, van den Bergh EEM, Evers AWM, Hoogerbrugge PM, Grootenhuis MA, Verhaak CM. Illness cognitions and family adjustment: psychometric properties of the illness cognition questionnaire for parents of a child with cancer. Support Care Cancer. 2016;24:529–37. doi:10.​1007/​s00520-015-2795-5.CrossRefPubMed
9.
go back to reference Baron RA, Byrne D. Social psychology understanding human interaction. Boston: Allyn & Bacon; 1984. Baron RA, Byrne D. Social psychology understanding human interaction. Boston: Allyn & Bacon; 1984.
10.
go back to reference van den Berg H, Mansted ASR, van der Plight J, Wigboldus DHJ. The impact of affective and cognitive focus on attitude formation. J Exp Soc Psychol. 2006;42:373–9.CrossRef van den Berg H, Mansted ASR, van der Plight J, Wigboldus DHJ. The impact of affective and cognitive focus on attitude formation. J Exp Soc Psychol. 2006;42:373–9.CrossRef
11.
go back to reference Rosenberg MJ, Hovland CI. Cognitive, affective and behavioral components of attitudes. In: Rosenberg MJ, Hovland CI, editors. Attitude organization and change: an analysis of consistency among attitude components. New Haven: Yale University Press; 1960. Rosenberg MJ, Hovland CI. Cognitive, affective and behavioral components of attitudes. In: Rosenberg MJ, Hovland CI, editors. Attitude organization and change: an analysis of consistency among attitude components. New Haven: Yale University Press; 1960.
13.
go back to reference Hudson JL, Bundy C, Coventry P, et al. What are the combined effects of negative emotions and illness cognitions on self-care in people with type 2 diabetes? A longitudinal structural equation model. Psychol Health. 2016;31:873–90.CrossRefPubMed Hudson JL, Bundy C, Coventry P, et al. What are the combined effects of negative emotions and illness cognitions on self-care in people with type 2 diabetes? A longitudinal structural equation model. Psychol Health. 2016;31:873–90.CrossRefPubMed
14.
go back to reference Hudson JL, Bundy C, Coventry PA, et al. Exploring the relationship between cognitive illness representations and poor emotional health and their combined association with diabetes self-care. A systematic review with meta-analysis. J Psychosom Res. 2014;76(4):265–74.CrossRefPubMed Hudson JL, Bundy C, Coventry PA, et al. Exploring the relationship between cognitive illness representations and poor emotional health and their combined association with diabetes self-care. A systematic review with meta-analysis. J Psychosom Res. 2014;76(4):265–74.CrossRefPubMed
18.
go back to reference Carayanni V, Stylianopoulou C, Koulierakis G, Babatsikou F, Koutis C. Sex differences in depression among older adults: are older women more vulnerable than men in social risk factors? The case of open care centers for older people in Greece. Eur J Ageing. 2012;9:177–86. doi:10.1007/s10433-012-0216-x.CrossRefPubMedPubMedCentral Carayanni V, Stylianopoulou C, Koulierakis G, Babatsikou F, Koutis C. Sex differences in depression among older adults: are older women more vulnerable than men in social risk factors? The case of open care centers for older people in Greece. Eur J Ageing. 2012;9:177–86. doi:10.​1007/​s10433-012-0216-x.CrossRefPubMedPubMedCentral
19.
go back to reference Hendriks M, Rademakers J: Relationships between patient activation, disease-specific knowledge and health outcomes among people with diabetes; a survey study. BMC Health Serv Res 2014,14: 393. doi:http://doi.org/10.1186/1472-6963-14-393. Hendriks M, Rademakers J: Relationships between patient activation, disease-specific knowledge and health outcomes among people with diabetes; a survey study. BMC Health Serv Res 2014,14: 393. doi:http://​doi.​org/​10.​1186/​1472-6963-14-393.​
20.
go back to reference Penno G, Solini E, Bonora E, Fondelli C, Orsi E, Zerbini G, et al. Gender differences in cardiovascular disease risk factors, treatments and complications in patients with type 2 diabetes: the RIACE Italian multicentre study. J Intern Med. 2013;274(2):176–91.CrossRefPubMed Penno G, Solini E, Bonora E, Fondelli C, Orsi E, Zerbini G, et al. Gender differences in cardiovascular disease risk factors, treatments and complications in patients with type 2 diabetes: the RIACE Italian multicentre study. J Intern Med. 2013;274(2):176–91.CrossRefPubMed
21.
go back to reference Hendriks SH, Hartog LC, Groenier KH, Maas AHEM, van Hateren KJJ, Kleefstra N, Bilo HJG. Patient activation in type 2 diabetes: does it differ between men and women? J Dibetes Res. 2016; doi:10.1155/2016/7386532. Hendriks SH, Hartog LC, Groenier KH, Maas AHEM, van Hateren KJJ, Kleefstra N, Bilo HJG. Patient activation in type 2 diabetes: does it differ between men and women? J Dibetes Res. 2016; doi:10.​1155/​2016/​7386532.
22.
go back to reference Bos-Touwen I, Schuurmans M, Monninkjof EM, et al. Patient and disease characteristics associated with activation for self-management in patients with diabetes, chronic obstructive pulmonary disease, chronic heart failure and chronic renal disease: a cross-sectional survey study. PLoS One. 2015;10(5):e0126400.CrossRefPubMedPubMedCentral Bos-Touwen I, Schuurmans M, Monninkjof EM, et al. Patient and disease characteristics associated with activation for self-management in patients with diabetes, chronic obstructive pulmonary disease, chronic heart failure and chronic renal disease: a cross-sectional survey study. PLoS One. 2015;10(5):e0126400.CrossRefPubMedPubMedCentral
23.
go back to reference Chubak J, Anderson KW, Saunders KW, Hubbard RA, Tuzzio L, Liss DT, Morales LS, Reid RJ. Predictors of 1-year change in patient activation in oler adults with diabetes mellitus and heart disease. J Am Geriatr Soc. 2012;60(7):1316–21.CrossRefPubMed Chubak J, Anderson KW, Saunders KW, Hubbard RA, Tuzzio L, Liss DT, Morales LS, Reid RJ. Predictors of 1-year change in patient activation in oler adults with diabetes mellitus and heart disease. J Am Geriatr Soc. 2012;60(7):1316–21.CrossRefPubMed
24.
go back to reference Gorman BK, Read JG. Gender disparities in adult health: an examination of three measures of morbidity. J Health Soc Behav. 2006;47:95–110.CrossRefPubMed Gorman BK, Read JG. Gender disparities in adult health: an examination of three measures of morbidity. J Health Soc Behav. 2006;47:95–110.CrossRefPubMed
26.
go back to reference Smith SG, Curtis LM, Wardle J, vonWagner C, Wold MS. Skill set or mind set? Associations between health literacy, patient activation and health. PLoS One. 2013;8(9):e74373.CrossRefPubMedPubMedCentral Smith SG, Curtis LM, Wardle J, vonWagner C, Wold MS. Skill set or mind set? Associations between health literacy, patient activation and health. PLoS One. 2013;8(9):e74373.CrossRefPubMedPubMedCentral
27.
go back to reference Mavaddat N, Kinmonth AL, Sanderson S, et al. What determines self-rated health (SRH)? A cross-sectional study of SF-36 health domains in the EPIC-Norfolk cohort. J Epidemiol Community Health. 2011;65:800–6.CrossRefPubMed Mavaddat N, Kinmonth AL, Sanderson S, et al. What determines self-rated health (SRH)? A cross-sectional study of SF-36 health domains in the EPIC-Norfolk cohort. J Epidemiol Community Health. 2011;65:800–6.CrossRefPubMed
29.
go back to reference Blakemore A, Hann M, Howells K, Panagioti M, Sidaway M, Reeves D, Bower P: Patient activation in older people with long-term conditions and multimorbidity: correlates and change in a cohort study in the United Kingdom. BMC Health Serv Res 2016, 16:582–593. doi: http://doi.org/10.1186/s12913-016-1843-2. Blakemore A, Hann M, Howells K, Panagioti M, Sidaway M, Reeves D, Bower P: Patient activation in older people with long-term conditions and multimorbidity: correlates and change in a cohort study in the United Kingdom. BMC Health Serv Res 2016, 16:582–593. doi: http://​doi.​org/​10.​1186/​s12913-016-1843-2.​
30.
go back to reference Wlodarczyk D, Chylińska J, Lazarewicz M, Rzadkiewicz M, Jaworski M, Adamus M, et al. Enhancing doctors’ competencies in communication with and activation of older patients: the promoting active aging (PRACTA) computer-based intervention study. J Med Internet Res. 2017;19(2) Wlodarczyk D, Chylińska J, Lazarewicz M, Rzadkiewicz M, Jaworski M, Adamus M, et al. Enhancing doctors’ competencies in communication with and activation of older patients: the promoting active aging (PRACTA) computer-based intervention study. J Med Internet Res. 2017;19(2)
31.
go back to reference Dunteman GH, Moon-Ho RH. An introduction to generalized linear models. London: Sage Publications; 2006.CrossRef Dunteman GH, Moon-Ho RH. An introduction to generalized linear models. London: Sage Publications; 2006.CrossRef
32.
go back to reference Klemenc-Ketis Z, Krizmaric M, Kersnik J. Age- and gender-specific prevalence of self-reported symptoms in adults. Centr Eur J Pub Health. 2013;21(3):160–4. Klemenc-Ketis Z, Krizmaric M, Kersnik J. Age- and gender-specific prevalence of self-reported symptoms in adults. Centr Eur J Pub Health. 2013;21(3):160–4.
33.
go back to reference Haslbeck JMR, Schaffer D. Chronic illness self-management while living alone in later life: a systematic integrative review. Res Ageing. 2012;34:507–47.CrossRef Haslbeck JMR, Schaffer D. Chronic illness self-management while living alone in later life: a systematic integrative review. Res Ageing. 2012;34:507–47.CrossRef
34.
go back to reference Groenwegen PP, Gres S, Schafer W. General practitioners’ participating in a large multicountry combined general practitioner-patient survey: recruitment procedures and participation rate. Int J Family Med. 2016. doi:10.1155/2016/4929432. Groenwegen PP, Gres S, Schafer W. General practitioners’ participating in a large multicountry combined general practitioner-patient survey: recruitment procedures and participation rate. Int J Family Med. 2016. doi:10.​1155/​2016/​4929432.
Metadata
Title
The role of gender in the active attitude toward treatment and health among older patients in primary health care—self-assessed health status and sociodemographic factors as moderators
Authors
Joanna Chylińska
Magdalena Łazarewicz
Marta Rzadkiewicz
Mirosława Adamus
Mariusz Jaworski
Gørill Haugan
Monica Lillefjel
Geir A. Espnes
Dorota Włodarczyk
Publication date
01-12-2017
Publisher
BioMed Central
Published in
BMC Geriatrics / Issue 1/2017
Electronic ISSN: 1471-2318
DOI
https://doi.org/10.1186/s12877-017-0677-z

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