A Questionnaire-Based Cross-Sectional Study of Insomnia among Middle-Aged Adults from Greece's Northeastern Fringe, Thrace.

Background, aim: Insomnia constitutes a common and very debilitating disorder in modern societies. A better understanding of the etiologies and risk factors, modifiable or not, of insomnia is essential for a swifter diagnosis and a more appropriate treatment, mitigating its toll on individuals and society. To this purpose, the present study assessed the prevalence of insomnia in a randomly-selected adult population and its relation with a diverse range of socio-demographic characteristics and medical conditions. Methods:A sample of 771 participants aged 24 to 89 years (mean age 58±13 years; 42.7% women) was randomly selected from the general population of Thrace, a prefecture in Northeastern Greece with special cultural considerations, using a two-stage stratified sampling scheme. The Greek version of the Athens Insomnia Scale (AIS) was utilized to evaluate the presence of insomnia. Moreover, the Berlin Questionnaire for Obstructive Sleep Apnea and the Epworth Sleepiness Scale for Excessive Daytime Sleepiness were also utilized. Results:A total of 141 study participants (18.3%) were found to suffer from insomnia. Impaired sleep maintenance was reported as the most frequent symptom (62%). The following independent statistically significant risk factors emerged (p-value <0.05): BMI ≥35 (aOR=2.91), divorced or widowed individuals (aOR=2.23), female gender (aOR=1.76), age >70 years (aOR=1.61), snoring (aOR=1.61), midday sleep (aOR=1.58) and presence of chronic disease (aOR=1.55). Conclusion:The prevalence of isomnia in Thrace aligns with similar studies conducted in Greece and internationally. A multitude of socio-demographic characteristics and diseases, especially chronic, predispose to insomnia.

Association between sleep insufficiency and dyslipidemia: a cross-sectional study among Greek adults in the primary care setting.

Objective: To investigate the potential association between sleep insufficiency and dyslipidemia (DL) in the primary care setting using self-reported questionnaires. Material and Methods: 957 adults aged between 19 and 86 years old from the rural area of Thrace, Greece were enrolled in this cross-sectional study. Multistage stratifed cluster sampling was used and the subjects were classifed into three groups according to sleep duration [short (<6h), normal (6-8h), and long (>8h) sleep duration]. DL was defined by a positive response to the question "Have you ever been told by a doctor or health professional that your blood cholesterol or triglyceride levels were high?", or if they were currently taking antilipidemic agents. Sleep quality, utilizing Epworth sleepiness scale, Athens insomnia scale, Pittsburgh sleep quality index and Berlin questionnaire, was also examined. Results: DL prevalence was significantly associated with short sleep duration (aOR=2.18, p<0.001) and insomnia (aOR=1.43, p=0.050), while its relation with poor sleep quality (aOR=1.31, p=0.094) and risk for obstructive sleep apnea (aOR=1.32, p=0.097) were of marginal statistical significance. Concerning insomnia subtypes, DL was significantly associated with difficulties maintaining sleep (aOR=2.99, p<0.001) and early morning awakenings (aOR=1.38, p=0.050), but not difficulties initiating sleep (aOR=1.18, p=0.328). Conclusion: This study reveals an association between sleep pathology and DL. Thus, early pharmacological and cognitive or behavioral interventions that improve sleep are deemed necessary in order to decrease DL burden.

Exploring the association between sleep insufficiency and self-reported cardiovascular disease among northeastern Greeks.

Objective: To explore the association of sleep characteristics with cardiovascular disease (CVD) using self-reported questionnaires. Material and Methods: 957 adults between 19 and 86 years old were enrolled in this cross-sectional study. The participants were classified into three groups [short (<6h), normal (6-8h), and long (>8h) sleepers] by using multistage stratified cluster sampling. CVD was defined by a positive response to the questions: "Have you been told by a doctor that you have had a heart attack or angina or stroke or have you undergone bypass surgery?". Sleep quality, utilizing Epworth sleepiness scale, Athens insomnia scale, Pittsburgh sleep quality index and Berlin questionnaire, was also examined. Results: Prevalence of CVD was 9.5%. Individuals with CVD exhibited reduced sleep duration by 33 min (p<0.001) and sleep efficiency by 10% (p<0.001). In multivariable logistic regression analysis, adjusting for subjects' sociodemographic, lifestyle habits and health related characteristics, short sleep duration was almost three times more frequent in patients with CVD (aOR=2.86, p<0.001 in the entire sample; aOR=2.68, p=0.019 in women and aOR=2.57, p=0.009 in men). Furthermore, CVD was significantly associated with excessive daytime sleepiness (aOR=2.02, p=0.026), insomnia (aOR=1.93, p=0.010), poor sleep quality (aOR=1.90, p=0.006) and increased risk of obstructive sleep apnea (aOR=2.08, p=0.003). Conclusion: Our study highlights a strong correlation of sleep insufficiency with CVD and promotes early pharmacological or cognitive behavioral interventions in order to protect cardiovascular health.

Sleep insufficiency and incident diabetes mellitus among indigenous and minority populations in Greece.

OBJECTIVE: To investigate the potential association between sleep pathology and diabetes mellitus (DM) using self-reported questionnaires. MATERIAL AND METHODS: 957 adults aged between 19 and 86 years old were enrolled in this cross-sectional study. Multistage stratified cluster sampling was used and subjects were classified into three groups [short (<6h), normal (6-8h) and long (>8h) sleep duration]. Individuals were classified as diabetics if they responded positively to the questions: "Have you ever been told that you are diabetic or have high blood sugar by a health professional?" or "Are you on antidiabetic medication?". Sleep quality, utilizing Epworth sleepiness scale, Athens insomnia scale, Pittsburgh sleep quality index and Berlin questionnaire, was also examined. RESULTS: DM prevalence was higher among expatriated and Muslim Greeks (23.1% and 18.7%, respectively) compared to indigenous Greek Christians (4.4%). DM prevalence was significantly associated with short sleep duration (aOR=2.82, p<0.001), excessive daytime sleepiness (aOR=2.09, p=0.019) and poor sleep quality (aOR=2.56, p<0.001), while its relation with insomnia (aOR=1.63, p=0.065) and risk for obstructive sleep apnea (aOR=1.53, p=0.080) were of marginal statistical significance. CONCLUSION: This study indicates an association between sleep quantity, quality and DM and supports early pharmacological and cognitive behavioral interventions on sleep disturbances in order to reduce the burden of DM with increased focus on minority population needs.

The association between sleep pathology and depression: A cross-sectional study among adults in Greece.

A cross-sectional population based study was conducted in order to evaluate the potential association of sleep characteristics with depression using self-reported questionnaires and taking into account several socio-demographic, lifestyle and health related characteristics. 957 participants aged between 19 and 86 years old were enrolled in our study. Depression symptoms were assessed using the Beck Depression Inventory. Participants self-reported their daily sleep habits and filled in the Epworth Sleepiness Scale, Athens Insomnia Scale, Pittsburgh Sleep Quality Index and Berlin Questionnaire. Overall prevalence of depression was 28.4%. Depression symptoms were more prominent among minority groups. Subjects with depression reported shorter sleep duration and had reduced sleep efficiency. In patients with depression mean sleep duration was reduced by 23 min and mean sleep efficiency by 4%. Patients with depression were at higher risk of insomnia, poor sleep quality and obstructive sleep apnea, but not of excessive daytime sleepiness. Concerning insomnia subtypes, depression was associated with difficulties maintaining sleep and early morning awakening, but not problems initiating sleep. Sleep disturbances are highly prevalent in depression and our findings support early pharmacological or cognitive behavioral interventions in order to address this key depression-associated symptom. Only addressing problems initiating sleep might not be sufficient in depression.

Association of Family Income with Health Indices and Healthcare Utilization in a Large Sample of Residents in Northern Greece.

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.