scholarly journals COVID-19 and Painful Temporomandibular Disorders: what does the dentist need to know?

2021 ◽  
Vol 69 ◽  
Author(s):  
Jean Soares MIRANDA ◽  
Letícia Ladeira BONATO ◽  
Ricardo de Souza TESCH
Keyword(s):  
Risk Factors ◽  
Poor Sleep ◽  
Healthy Individuals ◽  
Poor Sleep Quality ◽  
Factors Associated ◽  
Chronic Pain Patients ◽  
Associated Risk Factors ◽  
Multifactorial Approach ◽  
Pain Patients

ABSTRACT COVID-19 outbreak may lead to major impacts in applied oral sciences. Remarkably, it could be expected that factors associated to pandemic may lead to a greater risk of developing, worsening and perpetuating TMD and its associated risk factors. This non systematic literature review aims to discuss how the COVID-19 pandemic can influence the emergence, maintenance or worsening of TMD worldwide. During epidemics: the number of people whose mental health is affected tends to be greater than the number affected by the infection, and fear increases anxiety and stress levels in healthy individuals; chronic pain patients probably not receipt important treatments; overuse of medications becomes frequent; there are manifestation of unconscious oral parafunctional habits and poor sleep quality. All these facts represent risk factors common to TMD. Dentists should be aware of these issues and adapt their practices to properly diagnose and treat these patients within a multifactorial approach, increasing the quality of life of these individuals.

scholarly journals Factors associated with poor sleep quality in women with cancer

2017 ◽  
Vol 25 (0) ◽  
Author(s):  
Thalyta Cristina Mansano-Schlosser ◽  
Maria Filomena Ceolim
Keyword(s):  
Sleep Quality ◽  
Quality Index ◽  
Sleep Disturbances ◽  
Pittsburgh Sleep Quality Index ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Factors Associated ◽  
Scale Data

ABSTRACT Objectives: to analyze the factors associated with poor sleep quality, its characteristics and components in women with breast cancer prior to surgery for removing the tumor and throughout the follow-up. Method: longitudinal study in a teaching hospital, with a sample of 102 women. The following were used: a questionnaire for sociodemographic and clinical characterization, the Pittsburgh Sleep Quality Index; the Beck Depression Inventory; and the Herth Hope Scale. Data collection covered from prior to the surgery for removal of the tumor (T0) to T1, on average 3.2 months; T2, on average 6.1 months; and T3, on average 12.4 months. Descriptive statistics and the Generalized Estimating Equations model were used. Results: depression and pain contributed to the increase in the score of the Pittsburgh Sleep Quality Index, and hope, to the reduction of the score - independently - throughout follow-up. Sleep disturbances were the component with the highest score throughout follow-up. Conclusion: the presence of depression and pain, prior to the surgery, contributed to the increase in the global score of the Pittsburgh Sleep Quality Index, which indicates worse quality of sleep throughout follow-up; greater hope, in its turn, influenced the reduction of the score of the Pittsburgh Sleep Quality Index.

scholarly journals Assessment of the Quality of Antenatal Care Services and the Associated Risk Factors in Tanzania

2020 ◽  
Author(s):  
Abdalla Hussein ◽  
Jackline Mbishi
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Antenatal Care ◽  
Regression Model ◽  
Service Provision ◽  
Logistic Regression Model ◽  
Wealth Index ◽  
Factors Associated ◽  
Associated Risk Factors

Abstract Background This study gives the finding of the assessment made on the quality of antenatal care (ANC) services received by women in Tanzania during pregnancy and the associated risk factors. Methods We used the data from the 2015-16Tanzania Demographic and Health Survey and Malaria Indicator Survey (TDHS-MIS). The sample included 6,924 women who gave birth in the five years before the survey and having at least one ANC visit in the most current pregnancy. The quality of ANC services provided was assessed using six questions on receipt of recommended components of ANC services. The responses of the individual components were summed up to generate the ANC service provision score. In so doing, the women who received all six components were considered to receive good quality ANC services. A weighted logistic regression model was employed in the examination of the factors associated with the quality of ANC services. Results The average service provision score was 4.4 out of a total of 6. Approximately, 31% of the women received good quality ANC services. The most provided ANC components were blood sample measurement (87%) and iron tablets/syrup (82.1%). The urine sample (60%) was the least offered ANC service. The results of the adjusted logistic regression model revealed that age, place of residence, education level, the time of the first ANC visit, number of ANC visits, and family wealth index were significant factors associated with the quality of ANC services. Conclusions In terms of service provision, the quality of ANC service in Tanzania is suboptimal. With differences by observed risk factors, there must be more efforts to strengthen the quality of ANC services and to remove the differences.

Sleep quality among youngster in Danang city, Vietnam: A cross-sectional study

2021 ◽  
Vol 05 (02) ◽  
pp. 31-40
Author(s):  
Nguyen Nhat Linh Hoang ◽  
◽  
Vuong Diem Khanh Doan ◽  
Thi Dang Thu Nguyen ◽  
Thi Hong Nhi Nguyen
Keyword(s):  
Sleep Quality ◽  
Multivariate Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Sectional Study ◽  
Multivariate Logistic Regression ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Factors Associated

Objectives: Sleep is a normal physiological process of the body. Sleep impacts on many aspects of health and quality of life at all ages. There are many risk factors associated with sleep deprivation or poor sleep quality: physical health problems such as diabetes and cardiovascular disease; mental health issues like depression; traffic and occupational accident. The study was conducted with the aims of understanding the sleep quality situation of youngster aged 16-30 years in Da Nang City, Vietnam, and determining the factors related to the sleep quality of the study participants. Methods: A descriptive cross-sectional study was conducted on adolescents living in Da Nang City, Vietnam. The information was collected by using a structured questionnaire. Multivariate logistic regression analysis was used to identify the risk factors associated with the sleep quality among adolescents. Results: The proportion of the adolescents who suffered from poor sleep quality was 31.1%. The results of multivariate logistic regression analysis indicated that there were the relationships between sleep quality and living in Hoa Vang District; occupations were student, worker, or officer; finishing working/studying time after 7 pm; regularly use and dependent on the internet; having stress; having pressure on study/work, overeating before going to bed, rarely or sometimes staying up late, lying postures were laying up, lie on the left side and other postures; hand posture when sleeping. Conclusion: The proportion of adolescents living in Da Nang City with good sleep quality was not high. The government needs to propagandize and mobilize people, especially young people in terms of the impacts of sleep quality on health, thereby improving sleep quality to help young people in good condition, helping the country and defending the country. Keywords: Sleep quality, adolescents, Da Nang City

scholarly journals Effect of Sleep Quality on Hemodynamic Response to Exercise and Heart Rate Recovery in Apparently Healthy Individuals

2014 ◽  
Vol 37 (6) ◽  
pp. 352 ◽  
Author(s):  
Murat Yuksel ◽  
Abdulkadir Yildiz ◽  
Melike Demir ◽  
Mehmet Z Bilik ◽  
Necdet Ozaydogdu ◽  
...  
Keyword(s):  
Heart Rate ◽  
Sleep Quality ◽  
Heart Rate Recovery ◽  
Poor Sleep ◽  
Healthy Individuals ◽  
Poor Sleep Quality ◽  
Response To Exercise ◽  
Good Sleep ◽  
Apparently Healthy

Purpose: Poor sleep quality has an unfavorable impact on autonomic nervous system activity, especially that of the cardiovascular (CV) system. The heart rate (HR) and blood pressure (BP) at rest and during exercise, along with the heart rate recovery (HRR), were examined in poor sleepers and compared with individuals with good sleep quality. Methods: A total of 113 healthy individuals were enrolled to the study. All participants performed treadmill stress testing. Sleep quality of participants was assessed by using the Pittsburgh Sleep Quality Index (PSQI) questionnaire: 48 subjects were categorized as ‘poor sleepers’ (PSQI score > 6 points), and the rest were grouped as ‘good sleepers’. Results: The poor sleepers showed higher resting HR (p

scholarly journals Sleep Quality in Chronic Pain Patients

2002 ◽  
Vol 47 (9) ◽  
pp. 844-848 ◽  
Author(s):  
Kemal Sayar ◽  
Meltem Arikan ◽  
Tulin Yontem
Keyword(s):  
Chronic Pain ◽  
Sleep Quality ◽  
Pain Intensity ◽  
Anxiety And Depression ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Control Subjects ◽  
Chronic Pain Patients ◽  
Healthy Control ◽  
Pain Patients

Objective: Chronic pain patients have been reported to complain about poor sleep quality. Research aimed at delineating the predictors of poor sleep has produced conflicting results. Depressive mood and pain severity are the most frequently encountered predictors. This study aimed to find out whether chronic pain patients differed from healthy control subjects who had no pain on subjective sleep quality measures and, if so, which factors contributed most to poorer sleep quality. Method: We compared 40 patients with chronic pain who met inclusion criteria with 40 healthy control subjects on the measures of sleep quality, anxiety, and depression. The predictors of sleep quality were investigated with multiple regression in the pain group. Results: Chronic pain patients had higher scores than did healthy control subjects on the Beck Anxiety Scale, the Beck Depression Inventory (BDI), and the Pittsburgh Sleep Quality Index (PSQI). At the bivariate level, pain intensity, anxiety, and depression correlated significantly with poorer sleep quality. At the multivariate level, depression was found to be the only significant factor correlating with the quality of sleep, and the model explained 34% of the variance. Conclusions: Chronic pain patients suffer from poor sleep quality—a function of depressed mood rather than pain intensity, duration, or anxiety. However, it is difficult to draw a causal relation in this relatively small sample size. Besides, our study sample comprised a mostly psychiatric population and may not represent the general group of patients with chronic pain.

scholarly journals Risk factors associated with uncontrolled blood pressure among patients with non-dialysis chronic kidney disease in Vietnam

2021 ◽  
Author(s):  
Van Thi Hai Nguyen ◽  
Aurawamon Sriyuktasuth ◽  
Warunee Phligbua
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Sleep Quality ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Uncontrolled Blood Pressure ◽  
Blood Pressure Targets ◽  
Factors Associated

Background: Uncontrolled blood pressure rates are high in patients with non-dialysis chronic kidney disease, worsening the disease progression and leading to end-stage renal disease. However, studies on uncontrolled blood pressure in patients with non-dialysis chronic kidney disease and its associated factors in Vietnam are scarce. Objectives: This study aimed at identifying uncontrolled blood pressure rates and risk factors associated with uncontrolled blood pressure among Vietnamese patients with non-dialysis chronic kidney disease. Results: 63.2% of the participants could not control their BP less than 130/80 mmHg. Poor sleep quality (OR 2.076, 95%CI 1.059-4.073, p=.034) and severe comorbidities (OR 2.926, 95%CI 1.248-6.858, p=.013) were risk factors associated with uncontrolled blood pressure among Vietnamese patients with non-dialysis chronic kidney disease. Interestingly, the study found a high rate of awareness toward the importance of blood pressure control but a low rate of known blood pressure targets. Conclusion: Uncontrolled blood pressure rates among Vietnamese patients with non-dialysis chronic kidney disease were high. Sleep quality and comorbidity severity were significantly associated with uncontrolled blood pressure in this population. To achieve blood pressure targets, nurses and other healthcare providers should pay more attention to the patients with poor sleep quality and severe comorbidities. Funding: The “2018 Mahidol Postgraduate Scholarship”.

scholarly journals Prevalence and Associated Factors of Cognitive Impairment and Poor Sleep Quality among Community-Dwelling Older Adults in Northern Thailand

2020 ◽  
Vol 13 (1) ◽  
pp. 815-822
Author(s):  
Nitayapa Nanthakwang ◽  
Penprapa Siviroj ◽  
Anuchart Matanasarawoot ◽  
Ratana Sapbamrer ◽  
Peerasak Lerttrakarnnon ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Risk Factors ◽  
Older Adults ◽  
Cognitive Impairment ◽  
Sleep Quality ◽  
Community Dwelling ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Community Dwelling Older Adults

Background: Early detection of cognitive impairment and poor sleep quality are necessary to prevent dementia and the improve the quality of life further. This study aimed to investigate the cognitive impairment and poor sleep quality in the community-dwelling older adults and its association with socio-demographic and health characteristics. Methods: A cross-sectional study of 1,180 people in Northern Thailand aged 60 years and above was conducted in 2017. Mental State Examination-Thai version (MSET10) was used to measure cognitive function while the Pittsburgh Sleep Quality Index (PSQI) assessed sleep quality. Multiple logistic regression was used to analyze associations. Results: The prevalence of CI in older adults was 52.45% (95% CI: 49.64 - 55.42) which increased with age. The prevalence of poor sleep quality was 44.15% (95% CI: 1.29-47.03). Age, illiteracy, hypertension, comorbidities of hypertension and diabetes, alcohol consumption, lack of exercise, and depression were significantly associated with increased risk of CI, while being single, comorbidities of hypertension and diabetes, and depression were significantly associated with poor sleep quality. Conclusion: The rate of CI and poor sleep quality in older adults was relatively high in Thailand. Early detection of CI and poor sleep quality and screening for all risk factors are important to improve in access to service, optimization of medical management, reduction in risk factors, and increased quality of life in older adults.

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