Stress as the Missing Link Between Mindfulness, Sleep Quality, and Well-being: a Cross-sectional Study

Mindfulness ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 439-451
Author(s):  
Luca Simione ◽  
Antonino Raffone ◽  
Marco Mirolli
2021 ◽  
Author(s):  
Tzi Shin Toh ◽  
Jonathan Wei Jie Lee ◽  
Kai Yee Toh ◽  
Jia Pei Ho ◽  
Jeremy Fung Yen Lim ◽  
...  

GeroPsych ◽  
2017 ◽  
Vol 30 (2) ◽  
pp. 61-70 ◽  
Author(s):  
Lia Oberhauser ◽  
Andreas B. Neubauer ◽  
Eva-Marie Kessler

Abstract. Conflict avoidance increases across the adult lifespan. This cross-sectional study looks at conflict avoidance as part of a mechanism to regulate belongingness needs ( Sheldon, 2011 ). We assumed that older adults perceive more threats to their belongingness when they contemplate their future, and that they preventively react with avoidance coping. We set up a model predicting conflict avoidance that included perceptions of future nonbelonging, termed anticipated loneliness, and other predictors including sociodemographics, indicators of subjective well-being and perceived social support (N = 331, aged 40–87). Anticipated loneliness predicted conflict avoidance above all other predictors and partially mediated the age-association of conflict avoidance. Results suggest that belongingness regulation accounts may deepen our understanding of conflict avoidance in the second half of life.


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.


BMJ Open ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. e037282
Author(s):  
Rieko Mutai ◽  
Yoshifumi Sugiyama ◽  
Shuhei Yoshida ◽  
Ryoko Horiguchi ◽  
Takamasa Watanabe ◽  
...  

ObjectivesThe primary objective of this study was to develop the Japanese version of the Patient Centred Assessment Method (PCAM) and its user guide. The secondary objective was to examine the validity and reliability in the primary care setting.DesignCross-sectional study.SettingThree family physician teaching clinics located in urban residential areas in Tokyo, Japan.ParticipantsPatients who were aged 20 years or older, and who had an appointment with physicians at the three participating clinics.Main outcome measuresPatient complexity measured by PCAM and complexity/burden level measured by a Visual Analogue Scale (VAS).ResultsAlthough confirmatory factor analysis using a model described in a previous study revealed that the indices did not meet the criteria for good fit, exploratory factor analysis revealed a new three-factor structure of ‘Personal well-being,’ ‘Social interaction’ and ‘Needs for care/service.’ Cronbach’s alpha of PCAM was 0.86. Spearman’s rank correlation coefficients between PCAM scores and VAS scores were 0.51 for complexity (p<0.001) and 0.41 for burden (p<0.001). There were 42 patients (14.3% of total patients) with PCAM scores greater than its mean of 16.5 but with complexity VAS scores less than its mean of 20.8.ConclusionsThe Japanese version of PCAM and its user guide were developed through Japanese translation and cultural adaptation by cognitive debriefing. PCAM is a valid and reliable tool to assess patient complexity in the primary care settings in Japan. Additionally, although the correlation between total PCAM scores and complexity/burden as assessed by VAS was moderate, PCAM can more precisely identify patient complexity than skilled physician’s intuition.


Author(s):  
Yaxuan Zhang ◽  
Jiwei Wang ◽  
Xinyuan Lu ◽  
Beibei Che ◽  
Jinming Yu

This study aimed to investigate prolonged screen time and using electronic devices before sleep and their associated factors in elderly people in Shaanxi province of China. We conducted a cross-sectional study among 2647 elderly participants aged 60–88 years. Data were collected through questionnaires. Demographic characteristics, screen time, using electronic devices before sleep, health status, lifestyles, sleep quality, and other associated factors were investigated. Logistic regression analysis was used to analyze the relationship between the associated factors of screen time and using electronic devices before sleep. The crude odds ratio (cOR) and adjusted odds ratio (aOR) and their 95% confidence intervals (CI) were calculated. A total of 1784 subjects completed the questionnaire. There were 6.89% participants with prolonged screen time and 13.45% using electronic devices before sleep frequently. Prolonged screen time was associated with personal monthly income (aOR = 1.205, p = 0.001), number of household residents (aOR = 0.860, p = 0.010), rural residents (aOR = 0.617, p = 0.038), and regular drinkers (aOR = 2.889, p < 0.001). Using electronic devices before sleep was associated with being female (aOR = 0.657, p = 0.007), family monthly income (aOR = 0.866, p = 0.002), being an occasional drinker (aOR = 1.891, p = 0.005), and self-reported sleep quality (aOR = 1.593, p = 0.007). In conclusion, several factors related to screen time or using electronic devices before sleep were identified. Only being a drinker was a common associated factor for both screen time and using electronic devices before sleep.


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.


Sign in / Sign up

Export Citation Format

Share Document