Background Attention to subjective measures of health has grown.Several indices have been developed to describe objective health measured as comorbidity or severity of illness.A relationship between severity/comorbidy and perceived health has been confirmed but additional studies are needed to clarify it. Aim To investigate similarities/differences in the way subjective and objective measures of health are related to socio-demographic/ lifestyle indicators. Methods In 2009/10 the questionnaire SF36 -8 scales scored 0–100: physical functioning (PF), physical role (PR), pain (PN), general health (GH), vitality (VT), social functions (SF), emotional role (ER), mental health (MH)- was distributed to 887 patients of general practitioners (GP) in Siena’s province, Tuscany-Italy. Information from GP were gathered to calculate Charlson Index (CI) and Cumulative Illness Rating Scale (CIRS) for each patient. CI produces a comorbidity index summing diseases’ associated weights and adding one point for each decade after 40 years. CIRS produces a severity score as the mean weight of severity (5 levels) of coexisting illnesses. Information about gender, age, marital status, employment, BMI, smoking were collected. We investigated how SF36 scales, CI and CIRS were influenced by socio-demographic/lifestyle variables using multivariate nonparametric quantile regression. Results Females were 63.7%, mean age 58.7.SF36 higher mean score was in PF (82.3; SD = 23.3), lower in VT (59; SD = 19,6).CI and CIRS mean scores were 3.5 (SD = 3) and 0.23 (SD = 0.25). All SF36 scales were influenced by gender; males showed higher scores than female for PN (coeff. = 15.4, p < 0.001), ER (coeff. = 33, p < 0.001) and MH (coeff. = 10.0, p < 0.001).Age was inversely associated with all SF36 scales except ER and MH. BMI was inversely associated with PF, PN and GH. CI and CIRS were associated with age (respectively coeff. = 0.1, coeff. = 0.004, p < 0.001) and type of job (manual jobs showed worst scores).CIRS was associated to BMI (coeff. = 0.003, p = 0.041). Conclusion Subjective and objective health seems influenced by different socio-demographic/lifestyle aspects: gender seems to be the most important factor for subjective health, age for objective health. Higher BMI was associated with higher severity and worst SF36 physical scales’ scores.

Quercioli, C., Carriero, G., Nistico', F., Barducci, M., Messina, G., Bedogni, C., et al. (2012). Importance of socio-demographic and lifestyle aspects in measuring subjective and objective health. EUROPEAN JOURNAL OF PUBLIC HEALTH, 22 Supplement 2, 135-135.

Importance of socio-demographic and lifestyle aspects in measuring subjective and objective health

QUERCIOLI, CECILIA;MESSINA, GABRIELE;NANTE, NICOLA
2012-01-01

Abstract

Background Attention to subjective measures of health has grown.Several indices have been developed to describe objective health measured as comorbidity or severity of illness.A relationship between severity/comorbidy and perceived health has been confirmed but additional studies are needed to clarify it. Aim To investigate similarities/differences in the way subjective and objective measures of health are related to socio-demographic/ lifestyle indicators. Methods In 2009/10 the questionnaire SF36 -8 scales scored 0–100: physical functioning (PF), physical role (PR), pain (PN), general health (GH), vitality (VT), social functions (SF), emotional role (ER), mental health (MH)- was distributed to 887 patients of general practitioners (GP) in Siena’s province, Tuscany-Italy. Information from GP were gathered to calculate Charlson Index (CI) and Cumulative Illness Rating Scale (CIRS) for each patient. CI produces a comorbidity index summing diseases’ associated weights and adding one point for each decade after 40 years. CIRS produces a severity score as the mean weight of severity (5 levels) of coexisting illnesses. Information about gender, age, marital status, employment, BMI, smoking were collected. We investigated how SF36 scales, CI and CIRS were influenced by socio-demographic/lifestyle variables using multivariate nonparametric quantile regression. Results Females were 63.7%, mean age 58.7.SF36 higher mean score was in PF (82.3; SD = 23.3), lower in VT (59; SD = 19,6).CI and CIRS mean scores were 3.5 (SD = 3) and 0.23 (SD = 0.25). All SF36 scales were influenced by gender; males showed higher scores than female for PN (coeff. = 15.4, p < 0.001), ER (coeff. = 33, p < 0.001) and MH (coeff. = 10.0, p < 0.001).Age was inversely associated with all SF36 scales except ER and MH. BMI was inversely associated with PF, PN and GH. CI and CIRS were associated with age (respectively coeff. = 0.1, coeff. = 0.004, p < 0.001) and type of job (manual jobs showed worst scores).CIRS was associated to BMI (coeff. = 0.003, p = 0.041). Conclusion Subjective and objective health seems influenced by different socio-demographic/lifestyle aspects: gender seems to be the most important factor for subjective health, age for objective health. Higher BMI was associated with higher severity and worst SF36 physical scales’ scores.
2012
Quercioli, C., Carriero, G., Nistico', F., Barducci, M., Messina, G., Bedogni, C., et al. (2012). Importance of socio-demographic and lifestyle aspects in measuring subjective and objective health. EUROPEAN JOURNAL OF PUBLIC HEALTH, 22 Supplement 2, 135-135.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/42539
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