Orestia Zissimopoulou1, Eleni Leontidou1, Dimitrios Tsiptsios2, Apostolos Manolis1, Dimitrios Ioannides3, Ioanna Trypsiani1, Paschalis Steiropoulos4, Theodoros C Constantinidis5, Gregory Tripsianis1, Evangelia Nena6. 1. Laboratory of Medical Statistics, Medical School, Democritus University of Thrace, Alexandroupolis, Greece. 2. Neurophysiology Department, South Tyneside & Sunderland NHS Foundation Trust, Sunderland, United Kingdom. 3. Department of Economics, University of Macedonia, Thessaloniki, Greece. 4. Sleep Unit and Pulmonology Clinic, Medical School, Democritus University of Thrace. 5. Laboratory of Hygiene and Environmental Protection, Medical School, Democritus University of Thrace, Alexandroupolis, Greece. 6. Laboratory of Social Medicine, Medical School, Democritus University of Thrace, Alexandroupolis, Greece.
Abstract
Objective:To describe the impact of subjects' family income, which was used as a proxy for socioeconomic status, with health characteristics and healthcare utilization of a large representative sample of population in Northern Greece, taking into account several socio-demographic characteristics and health behaviors of the participants. Material and method:Eight hundred and twelve participants (43.7% males) with a mean age of 49.±14.8 years (range 19-83 years), from the area of Thrace, Greece, were enrolled in this cross-sectional populational study. A two-stage stratified sampling scheme was used and subjects were classified, according to the net mean monthly household income, into three financial levels: low .1000 Euro; medium 1001-2000 Euro; and high >2000 Euro. Self-reported questionnaires for socio-demographic, lifestyle and health related characteristics were collected. Sleep characteristics, utilizing Epworth Sleepiness Scale, Athens Insomnia Scale, Pittsburgh Sleep Quality Index and Berlin Questionnaire, and mental health, using Zung Self-rating Anxiety Scale and Beck Depression Inventory have been also assessed. Results: The majority of participants belonged to the lower income level (476 subjects, 58.6%). Lower income level was associated with a higher prevalence of high alcohol consumption (p=0.030), low adherence to Mediterranean diet (p=0.016), low physical activity (p<0.001) and either short or long nocturnal sleep duration (p<0.001). After adjusting for all socio-demographic and lifestyle characteristics, subjects with low income had a higher risk for anxiety (aOR=1.97, p=0.017), depression (aOR=4.88, p<0.001), dyslipidemia (aOR=2.50, p=0.007), diabetes (aOR=3.58, p<0.001), obesity (aOR=1.97, p=0.038), cardiovascular disease (aOR=3.04, p=0.015) and sleep disorders, as well as for primary (aOR=3.56, p=0.017) and secondary (aOR=2.49, p=0.010) healthcare utilization compared to subjects with high income. Conclusion: Low income is an important factor, which adversely affects the health of individuals via different pathways such as adaptation of harmful everyday habits. Large-scale prospective cohort studies are necessary to verify these associations in a methodologically more robust way.
Objective:To describe the impact of subjects' family income, which was used as a proxy for socioeconomic status, with health characteristics and healthcare utilization of a large representative sample of population in Northern Greece, taking into account several socio-demographic characteristics and health behaviors of the participants. Material and method:Eight hundred and twelve participants (43.7% males) with a mean age of 49.±14.8 years (range 19-83 years), from the area of Thrace, Greece, were enrolled in this cross-sectional populational study. A two-stage stratified sampling scheme was used and subjects were classified, according to the net mean monthly household income, into three financial levels: low .1000 Euro; medium 1001-2000 Euro; and high >2000 Euro. Self-reported questionnaires for socio-demographic, lifestyle and health related characteristics were collected. Sleep characteristics, utilizing Epworth Sleepiness Scale, Athens Insomnia Scale, Pittsburgh Sleep Quality Index and Berlin Questionnaire, and mental health, using Zung Self-rating Anxiety Scale and Beck Depression Inventory have been also assessed. Results: The majority of participants belonged to the lower income level (476 subjects, 58.6%). Lower income level was associated with a higher prevalence of high alcohol consumption (p=0.030), low adherence to Mediterranean diet (p=0.016), low physical activity (p<0.001) and either short or long nocturnal sleep duration (p<0.001). After adjusting for all socio-demographic and lifestyle characteristics, subjects with low income had a higher risk for anxiety (aOR=1.97, p=0.017), depression (aOR=4.88, p<0.001), dyslipidemia (aOR=2.50, p=0.007), diabetes (aOR=3.58, p<0.001), obesity (aOR=1.97, p=0.038), cardiovascular disease (aOR=3.04, p=0.015) and sleep disorders, as well as for primary (aOR=3.56, p=0.017) and secondary (aOR=2.49, p=0.010) healthcare utilization compared to subjects with high income. Conclusion: Low income is an important factor, which adversely affects the health of individuals via different pathways such as adaptation of harmful everyday habits. Large-scale prospective cohort studies are necessary to verify these associations in a methodologically more robust way.
Authors: Stephen B Manuck; Jennifer E Phillips; Peter J Gianaros; Janine D Flory; Matthew F Muldoon Journal: Psychosom Med Date: 2009-11-20 Impact factor: 4.312
Authors: Georgia-Eirini Deligiannidou; Chrysoula Kyrgou; Evangelia Nena; Vangelis G Manolopoulos; Eugenia Bezirtzoglou; Christos A Kontogiorgis; Theodoros C Constantinidis Journal: Int J Environ Res Public Health Date: 2022-10-01 Impact factor: 4.614