scholarly journals Association between Depression, Lifestyles, Sleep Quality, and Sense of Coherence in a Population with Cardiovascular Risk

Nutrients ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 585
Author(s):  
Aina Riera-Sampol ◽  
Miquel Bennasar-Veny ◽  
Pedro Tauler ◽  
Mar Nafría ◽  
Miquel Colom ◽  
...  

People with cardiovascular risk have more depression than the general population. Depression and cardiovascular risk have been commonly linked to lower sense of coherence (SOC) values, unhealthy lifestyles, and poor sleep quality. The aim of this study was to analyze the association between depression, health-related lifestyles, sleep quality, and SOC in a population with cardiovascular risk. A cross-sectional study was conducted in 310 participants (aged 35–75 years) with cardiovascular risk. Sociodemographic and anthropometric characteristics, cardiovascular risk, SOC score, depression levels, sleep quality, and lifestyles (physical activity, diet quality (measured as the adherence to the Mediterranean diet), and tobacco and alcohol consumption) were determined. The regression analysis showed significant associations between depression levels and sex (odds ratio (OR): 2.29; 95% CI: 1.29, 4.07), diet (OR: 0.85; 95% CI: 0.73, 0.99), body mass index (BMI) (OR: 1.06; 95% CI: 1.01, 1.12), cardiovascular disease (CVD) (OR: 2.55; 95% CI: 1.18, 5.48), sleep quality (OR: 0.26; 95% CI: 0.15, 0.46), and SOC (OR: 0.96; 95% CI: 0.94, 0.98). Protective effects of male sex, a lower BMI, no CVD, a higher adherence to the Mediterranean diet, a high sleep quality, and a higher SOC were found. In conclusion, among lifestyles determined, only diet was associated with depression levels. SOC and sleep quality were also found as significant predictors for depression levels.

Nutrients ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 995
Author(s):  
Israa M. Shatwan ◽  
Eiman A. Alhinai ◽  
Balqees Alawadhi ◽  
Shelini Surendran ◽  
Najlaa M. Aljefree ◽  
...  

The Mediterranean diet (MedDiet) is considered as a good example of a healthy dietary pattern that has protective effects on obesity. The aim of the present study was to assess the adherence of adults from three Gulf countries (Saudi Arabia, Oman, and Kuwait) to the MedDiet and its association with obesity risk. A cross-sectional study was conducted on 961 men and women (75.7%) aged 20–55 years old. Waist circumference (WC), and hip circumference (HC) were measured waist/hip ratio (WHR) and body mass index (BMI) were calculated. A validated 14-item Questionnaire was used to measure adherence to MedDiet. The mean of the adherence to MedDiet score was 5.9 ± 2.03 for the total sample. An inverse association was observed between the adherence to MedDiet and BMI after adjusting for potential confounders (p = 0.0003 in total participants, and p = 0.001 in women only). A protective effect was seen with a higher adherence to the MedDiet on HC, suggesting that a greater adherence to the MedDiet was associated with a decreased HC (p = 0.04 in total participants, and p = 0.01 in women only). In conclusion, low adherence to the MedDiet among participants from three gulf countries was associated with increased obesity indicators, BMI, and HC.


Nutrients ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1364 ◽  
Author(s):  
Giovanna Muscogiuri ◽  
Luigi Barrea ◽  
Sara Aprano ◽  
Lydia Framondi ◽  
Rossana Di Matteo ◽  
...  

Obesity and unhealthy eating habits have been associated with sleep disturbances (SD). The Mediterranean diet (MD) is a healthy nutritional pattern that has been reported to be associated with better health and sleep quality. Thus, the aim of the study was to investigate whether adherence to the MD is associated with sleep quality in a population of middle-aged Italian adults. This cross-sectional study included 172 middle-aged adults (71.5% females; 51.8 ± 15.7 years) that were consecutively enrolled in a campaign to prevent obesity called the OPERA (Obesity, Programs of Nutrition, Education, Research and Assessment of the best treatment) prevention project that was held in Naples on 11–13 October 2019. Anthropometric parameters, adherence to the MD and sleep quality were studied. Overall, 50.6% of the subjects were good sleepers (the Pittsburgh Sleep Quality Index (PSQI) < 5) while 49.4% were poor sleepers (PSQI ≥ 5). Our results demonstrated that good sleepers, when compared to poor sleepers (p < 0.001) had significantly higher adherence to the MD as assessed by PREDIMED (Prevención con Dieta Mediterránea) score, lower BMI (body mass index) and waist circumference (WC). The higher PSQI, the higher the BMI (p < 0.001) and WC values (p < 0.001), thus suggesting that poor sleep was more common in subjects with obesity. In addition, a negative correlation between PSQI and the PREDIMED score (p < 0.001) was found. to the intake of the cluster of foods enclosed in the MD, rather than the intake of the single food, predicted PSQI. By performing a receiver operator characteristic (ROC) curve analysis, we determined a cut-off value at a PREDIMED score < 9 as the threshold for screening poor sleepers. In conclusion, good sleepers had lower BMI and WC and higher adherence to the MD than poor sleepers. PSQI was positively associated to BMI and WC while it was negatively associated to adherence to the MD. The consumption of the MD dietary pattern rather than the intake of a single nutrient has a beneficial effect on sleep quality. Hence, the assessment of sleep should be taken into account in the management of obesity and promoting adherence to the MD could be a tool to improve SD.


Nutrients ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1510
Author(s):  
Hailun Liang ◽  
Hind A. Beydoun ◽  
Sharmin Hossain ◽  
Ana Maldonado ◽  
Alan B. Zonderman ◽  
...  

Complex processes appear to link sleep duration and quality with dietary patterns. Numerous studies show healthful benefits of the Dietary Approaches to Stop Hypertension (DASH) diet, but few have examined its association with sleep duration or quality. The current study tested cross-sectional associations of DASH diet quality score with sleep quality among adults. Analyses of participants were from the 2005–2008 wave of the National Health and Nutrition Examination Surveys (n = 3941 adults ≥30 years of age, complete data). We performed sex- and age group-stratified multiple OLS regression analyses with DASH total score and components as main predictors and sleep quality as main outcomes, adjusting sequentially for socio-demographic, behavioral and health-related factors. Sex and age differences in associations of DASH with sleep quality, adjusting for covariates, were also examined by incorporating two-way interaction terms between sex/age and the DASH score in each unstratified model. We found that the DASH diet score was inversely related to poor sleep-related daytime dysfunction adjusted by age, sex, demographic and socio-economic factors. Some sex-specific associations were detected between DASH diet component scores and sleep quality. Notably, the potassium DASH component was inversely associated with Factor 1 (“sleepiness and sleep disturbance”) among women. The fiber DASH component was associated with better sleep quality and inversely related to Factor 2 (“sleep-related daytime dysfunction”) in younger subjects. This study indicates health benefits of the DASH diet for sleep duration and quality. Future longitudinal studies and randomized placebo-controlled trials are required to ascertain protective effects.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hongyan Wang ◽  
Xiaoling Dai ◽  
Zichuan Yao ◽  
Xianqing Zhu ◽  
Yunzhong Jiang ◽  
...  

Abstract Introduction To explore the prevalence of depressive symptoms and the associated risk factors in frontline nurses under COVID-19 pandemic. Methods This cross-sectional study was conducted from February 20, 2020 to March 20, 2020 and involved 562 frontline nurses. The effective response rate was 87.68%. After propensity score matched, there were 498 participants left. Extensive characteristics, including demographics, dietary habits, life-related factors, work-related factors, and psychological factors were collected based on a self-reported questionnaire. Specific scales measured the levels of sleep quality, physical activity, depressive symptoms, perceived organization support and psychological capital. Adjusted odds ratios and 95% confidence intervals were determined by binary paired logistic regression. Results Of the nurses enrolled in the study, 50.90% had depressive symptoms. Three independent risk factors were identified: poor sleep quality (OR = 1.608, 95% CI: 1.384–1.896), lower optimism of psychological capital (OR = 0.879, 95% CI: 0.805–0.960) and no visiting friend constantly (OR = 0.513, 95% CI: 0.286–0.920). Conclusions This study revealed a considerable high prevalence of depressive symptoms in frontline nurses during the COVID-19 outbreak, and identified three risk factors, which were poor sleep quality, lower optimism of psychological capital, and no visiting friend constantly. Protecting mental health of nurses is important for COVID-19 pandemic control and their wellbeing. These findings enrich the existing theoretical model of depression and demonstrated a critical need for additional strategies that could address the mental health in frontline nurses for policymakers.


2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1017.2-1018
Author(s):  
N. Kelly ◽  
E. Hawkins ◽  
H. O’leary ◽  
K. Quinn ◽  
G. Murphy ◽  
...  

Background:Rheumatoid arthritis (RA) is a chronic, autoimmune inflammatory condition that affects 0.5% of the adult population worldwide (1). Sedentary behavior (SB) is any waking behavior characterized by an energy expenditure of ≤1.5 METs (metabolic equivalent) and a sitting or reclining posture, e.g. computer use (2) and has a negative impact on health in the RA population (3). Sleep is an important health behavior, but sleep quality is an issue for people living with RA (4, 5). Poor sleep quality is associated with low levels of physical activity in RA (4) however the association between SB and sleep in people who have RA has not been examined previously.Objectives:The aim of this study was to investigate the relationship between SB and sleep in people who have RA.Methods:A cross-sectional study was conducted. Patients were recruited from rheumatology clinics in a large acute public hospital serving a mix of urban and rural populations. Inclusion criteria were diagnosis of RA by a rheumatologist according to the American College of Rheumatology criteria age ≥ 18 and ≤ 80 years; ability to mobilize independently or aided by a stick; and to understand written and spoken English. Demographic data on age, gender, disease duration and medication were recorded. Pain and fatigue were measured by the Visual Analogue Scale (VAS), anxiety and depression were assessed using the Hospital Anxiety and Depression Scale (HADS), and sleep quality was assessed using the Pittsburgh Sleep Quality Index. SB was measured using the ActivPAL4™ activity monitor, over a 7-day wear period. Descriptive statistics were calculated to describe participant characteristics. Relationships between clinical characteristics and SB were examined using Pearson’s correlation coefficients and regression analyses.Results:N=76 participants enrolled in the study with valid data provided by N=72 participants. Mean age of participants was 61.5years (SD10.6) and the majority 63% (n = 47) were female. Participant mean disease duration was 17.8years (SD10.9). Mean SB time was 533.7 (SD100.1) minutes (8.9 hours per day/59.9% of waking hours). Mean sleep quality score was 7.2 (SD5.0) (Table 1). Correlation analysis and regression analysis found no significant correlation between sleep quality and SB variables. Regression analysis demonstrated positive statistical associations for SB time and body mass index (p-value=0.03846, R2 = 0.05143), SB time and pain VAS (p-value=0.009261, R2 = 0.07987), SB time and HADS (p-value = 0.009721, R2 = 0.08097) and SB time and HADSD (p-value = 0.01932, R2 = 0.0643).Conclusion:We found high levels of sedentary behavior and poor sleep quality in people who have RA, however no statistically significant relationship was found in this study. Future research should further explore the complex associations between sedentary behavior and sleep quality in people who have RA.References:[1]Carmona L, et al. Rheumatoid arthritis. Best Pract Res Clin Rheumatol 2010;24:733–745.[2]Anon. Letter to the editor: standardized use of the terms “sedentary” and “sedentary behaviours”. Appl Physiol Nutr Metab = Physiol Appl Nutr Metab 2012;37:540–542.[3]Fenton, S.A.M. et al. Sedentary behaviour is associated with increased long-term cardiovascular risk in patients with rheumatoid arthritis independently of moderate-to-vigorous physical activity. BMC Musculoskelet Disord 18, 131 (2017).[4]McKenna S, et al. Sleep and physical activity: a cross-sectional objective profile of people with rheumatoid arthritis. Rheumatol Int. 2018 May;38(5):845-853.[5]Grabovac, I., et al. 2018. Sleep quality in patients with rheumatoid arthritis and associations with pain, disability, disease duration, and activity. Journal of clinical medicine, 7(10)336.Table 1.Sleep quality in people who have RASleep variableBed Time N(%) before 10pm13(18%) 10pm-12pm43 (60%) after 12pm16 (22%)Hours Sleep mean(SD)6.56 (1.54)Fall Asleep minutes mean(SD)33.3(27.7)Night Waking N(%)45(63%)Self-Rate Sleep mean(SD)2.74 (0.90)Hours Sleep mean(SD)6.56 (1.54)Disclosure of Interests:None declared


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Li Ran ◽  
Qi Chen ◽  
Jingyi Zhang ◽  
Xinlong Tu ◽  
Xiaodong Tan ◽  
...  

AbstractHypertension (HTN) and osteoarthritis (OA) are frequent in middle-aged and elderly people, and the co-occurrence of these two diseases is common. However, the pathogenesis of the multimorbidity of both diseases and the relation with sleep quality, hyperlipemia, and hyperglycemia is unclear. We conducted a cross-sectional study to make sense of the multimorbidity of HTN and OA and the relation with sleep quality, hyperlipemia, and hyperglycemia. The relation between sleep quality and OA and its joint effect with hyperlipemia or hyperglycemia was evaluated with logistic regression models. The additive interaction was assessed with the relative excess risk due to interaction (REEI), the attributable proportion (AP), and the synergy index (S). According to this research in a remote rural area, approximately 34.2% of HTN patients are accompanied with OA and 49.1% are suffering poor sleep. Both hyperlipemia/hyperglycemia and sleep quality were related to OA prevalence with crude ORs of 1.43 (95% CI 1.014–2.029) and 1.89 (95% CI 1.411–2.519, P < 0.001) respectively. An observed additive effect was found greater than the sum of the effects of sleep quality and hyperlipemia/hyperglycemia posed on OA prevalence alone. This additive interaction was observed in females (OR = 3.19, 95% CI 1.945–5.237) as well as males ≥ 65 years old (OR = 2.78, 95% CI 1.693–4.557), with RERI, AP, and S significant. Therefore, poor sleep and hyperlipemia/hyperglycemia are associated with OA, and further studies on the additive interaction among females and males ≥ 65 are warranted.


2020 ◽  
Vol 16 (8) ◽  
pp. 571-578 ◽  
Author(s):  
Rena I. Kosti ◽  
Aikaterini Kanellopoulou ◽  
Evanthia Fragkedaki ◽  
Venetia Notara ◽  
Sofia-Panagiota Giannakopoulou ◽  
...  

Retos ◽  
2021 ◽  
Vol 43 ◽  
pp. 274-282
Author(s):  
Leonardo Intelangelo ◽  
Nacim Molina Gutiérrez ◽  
Nicolás Bevacqua ◽  
Cristian Mendoza ◽  
Iris Paola Guzmán-Guzmán ◽  
...  

Objective: to determine lifestyle changes, such as physical activity, nutrition, and sleep in an Argentinean university population, caused by confinement during the COVID-19 pandemic. Methods: Cross-sectional study via web survey. 1021 the Argentinean university population (women, n = 645 and men, n = 376) aged between 18–70 years old was participate. Survey was utilized to measure participant physical activity behavior, nutrition, and sleep April to May 2020. Results: the main findings revealed that 4.3% of the sample showed obesity; the highest proportion of the sample stayed more than 6 hours in a sedentary status; 21.74% reported bad sleep quality; a reduction in good feeding pattern; and an increase in subjects who do not perform physical activity. According to socio-demographic and anthropometric factors, being a student (OR 2.19, CI95% 1.18 - 4, p= .012), overweight (OR 1.71, CI95% 1.19 – 2.44, p= .003), obesity (OR 4.45, CI95% 2.27 – 8.7, p< .001), and have been confined more than 45 days was associated with bad feeding. Likewise, low physical activity levels were associated with obesity (OR 3.2 CI95% 1.66 – 6.18, p= .001), being female (OR 1.61, CI95% 1.14 –2.28, p= .006) and get married (OR 1.72, CI95% 1.14 – 2.61, p= .009). Moreover, being a student was associated with poor sleep quality (OR 43.6, CI95%5.4 – 350, p< .001). Conclusion: This study suggests that confinement decreased healthy living habits such as good nutrition and physical activity and affected the quality of sleep in young subjects.  Resumen. Objetivo: determinar los cambios en el estilo de vida, como la actividad física, la nutrición y el sueño en una población universitaria argentina, causados por el confinamiento durante la pandemia de COVID-19. Métodos: Estudio transversal mediante encuesta por Internet. Participaron 1021 personas de la población universitaria argentina (mujeres, n = 645 y hombres, n = 376) de entre 18 y 70 años de edad. La encuesta fue utilizada para medir el comportamiento de la actividad física, la nutrición y el sueño de los participantes de abril a mayo de 2020.Resultados: los principales hallazgos mostraron que el 4,3% de la muestra presentaba obesidad; la mayor proporción de la muestra permaneció más de 6 horas en estado sedentario; el 21,74% informó sobre la mala calidad del sueño; una reducción de los hábitos correctos de alimentación; y un aumento de los participantes que no realizan actividad física. De acuerdo con factores socio-demográficos y antropométricos, ser estudiante (OR 2.19, CI95% 1.18 - 4, p= .012), el sobrepeso (OR 1.71, CI95% 1.19 - 2.44, p= .003), la obesidad (OR 4.45, CI95% 2.27 - 8.7, p< .001), y haber estado confinado más de 45 días se asoció con una mala alimentación. Asimismo, los bajos niveles de actividad física se asociaron con la obesidad (OR 3,2; IC95% 1,66 - 6,18, p= .001), ser mujer (OR 1,61; IC95% 1,14 -2,28, p= .006) y estar casado (OR 1,72; IC95% 1,14 - 2,61, p= .009). Además, ser estudiante se asoció con una mala calidad de sueño (OR 43,6, CI95% 5,4 - 350, p< .001). Conclusión: Este estudio sugiere que el confinamiento disminuyó los hábitos de vida saludables como la buena nutrición, la actividad física, y afectó la calidad del sueño en sujetos jóvenes.


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