Relationship Between Sleep Quality and Hypertension Among Working-Age Population in Indonesia

Introduction: One of the diseases which are continuously becoming a public health problem is hypertension. The prevalence of hypertension in working-age or productive age in Indonesia has increased significantly in recent years. There are many risk factors for hypertension in adults, one of which is lack of sleep. Sleep disorders can increase the risk of hypertension. This study aimed at finding out the relationship between sleep quality and the incidence of hypertension among the working-age population in Indonesia. Methods: This study utilized secondary data from the Indonesia Family Life Survey (IFLS) 5 data with a cross-sectional study design. The sample in IFLS 5 was taken using Multistage random sampling. The number of samples was 8,815 with inclusion criteria, which included that respondents were 15-64 years old and had complete data on the variables studied, namely: age, sex, sleep quality, physical activity, Body Mass Index (BMI), smoking habits and hypertension. Data were analyzed using multiple logistic regression. Results: Respondents with poor sleep quality had 1.39 higher odds of experiencing hypertension compared to respondents who had good sleep quality after being controlled by variables of gender, age, smoking status, physical activity, and nutritional status. (Poor-good sleep quality=1.39, 95% CI 1.20-1.61 p=0.000). Conclusions: It is necessary to strengthen information about health promotion regarding the prevention of hypertension in the community, especially good time management, to maintain sleep quality and the need for health programs on prevention of hypertension carried out by the ministry of health to the community through existing health-workers.

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The Relationship of Physical Activity and Sleep Quality Among Elderly Who Are Still Working

Indonesian Journal of Community Health Nursing ◽

10.20473/ijchn.v6i2.29051 ◽

2021 ◽

Vol 6 (2) ◽

pp. 45

Author(s):

Anita Tria Purnamasari ◽

Elida Ulfiana ◽

Andri Setya Wahyudi

Keyword(s):

Physical Activity ◽

Sleep Quality ◽

The Elderly ◽

Moderate Physical Activity ◽

Poor Sleep ◽

Short Sleep Duration ◽

Cross Sectional ◽

Significance Level ◽

The Relationship ◽

Good Sleep

Introduction: The elderly tend to have short sleep duration, resulting in poor sleep quality. Physical activity is believed can improved sleep quality. This study was aimed to explain the relationship between physical activity and sleep quality among the elderly who are still working.Method: This study used a correlational research design with a cross-sectional approach. There were 63 elderly who involved as respondents by using the simple random sampling technique. The independent variable of this research was physical activities, while the dependent variable was sleep quality. A questionnaire was used to collect data. Data were then analyzed by using the Chi-Square test with a significance level of p=0.05.Results: The study found that physical activity correlates with sleep quality among the elderly who are still working (p=0.021). The elderly with moderate physical activity has three times chance to have a good sleep quality (OR=3.667).Conclusion: Moderate physical activity correlates with good sleep quality. However, an increase in physical activity will worsen the sleep quality among the elderly. The elderly who are still working can reduce the intensity of their activity in the workplace.

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THE RELATIONSHIP BETWEEN SMART PHONE USAGE AND SLEEP DISTURBANCES AND PSYCHOLOGICAL DISSTRESS AMONG STUDENTS

Journal of Medicine and Pharmacy ◽

10.34071/jmp.2017.4.19 ◽

2017 ◽

pp. 125-130

Author(s):

Minh Tam Nguyen ◽

Phuc Thanh Nhan Nguyen ◽

Thi Thuy Hang Nguyen

Keyword(s):

High School ◽

High School Students ◽

University Students ◽

Sleep Quality ◽

Sleep Disturbances ◽

Public Health Problem ◽

Smartphone Addiction ◽

Poor Sleep ◽

School Students ◽

The Relationship

The increasing use of smartphone among young people is creating negative effects and is an important public health problem in many countries. Smartphone abuse and addiction may cause physical and psychological disorders among users. However, the awarenes on this issue has been inadequate due to lacking of evidence. Objectives: To describe the current situation of smartphone using among students at highschools and universities in Hue city and to examine the relationship between smartphone using and sleep disturbances and psychological disstress among participants. Methods: A cross-sectional study with a randomly selected sample of 1,150 students at highschools and universities in Hue city. SAS-SV scale was used to evaluate phone addiction status, K10 scale was used for psychological distress assessment and PSQI scale was used to examine the sleep quality. Results: The proportion of students at highschools and universities having smartphones was 78.0%. The rate of smartphone addiction among high school students was 49.1% and that among university students was 43.7%. There was 57.3% of high school students had poor sleep quality, and that of university students was 51.6%. There was a statistically significant association between smartphone addiction and sleep disturbances and psychological disstress among participants (p <0.05). Conclusion: The prevalence of smartphone addiction among students at highschools and universities is alarming and is related to sleep disturbances and psychological disstress among participants. There is a strong call to develop intervention to help students to aware and manage the use of smartphone effectively.

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POS1465-HPR THE RELATIONSHIP BETWEEN SEDENTARY BEHAVIOR AND SLEEP IN RHEUMATOID ARTHRITIS: A CROSS-SECTIONAL STUDY

Annals of the Rheumatic Diseases ◽

10.1136/annrheumdis-2021-eular.641 ◽

2021 ◽

Vol 80 (Suppl 1) ◽

pp. 1017.2-1018

Author(s):

N. Kelly ◽

E. Hawkins ◽

H. O’leary ◽

K. Quinn ◽

G. Murphy ◽

...

Keyword(s):

Rheumatoid Arthritis ◽

Physical Activity ◽

Sleep Quality ◽

Sedentary Behavior ◽

Disease Duration ◽

Cross Sectional Study ◽

P Value ◽

Poor Sleep ◽

Cross Sectional ◽

The Relationship

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

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The effect of long-term poor sleep quality on risk of back-related disability and the modifying role of physical activity

Scientific Reports ◽

10.1038/s41598-021-94845-7 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Eivind Schjelderup Skarpsno ◽

Tom Ivar Lund Nilsen ◽

Paul Jarle Mork

Keyword(s):

Physical Activity ◽

Back Pain ◽

Sleep Quality ◽

Sleep Problems ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Physical Activity Guidelines ◽

Adjusted Risk ◽

Increased Risk

AbstractSleep problems and regular leisure time physical activity (LTPA) are interrelated and have contrasting effects on risk of back pain. However, no studies have investigated the influence of long-term poor sleep quality on risk of back-related disability, or if LTPA modifies this association. The study comprised data on 8601 people who participated in three consecutive surveys over ~ 22 years, and who reported no chronic back pain at the two first surveys. Adjusted risk ratios (RRs) for back-related disability were calculated at the last survey, associated with the joint effect of changes in sleep quality between the two first surveys and meeting physical activity guidelines at the second survey. Compared to people with long-term good sleep, people with long-term poor sleep had nearly twice the risk of back-related disability (RR 1.92, 95% CI 1.48–2.49). There was no statistical interaction between sleep and LTPA but people who reported long-term poor sleep and meeting the physical activity guidelines had 35% lower risk of back-related disability compared to people with same level of sleep problems, but who not met the guidelines. These findings suggest that long-term poor sleep quality contributes to a substantially increased risk of chronic and disabling back pain irrespective of LTPA.

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Effect of Confinement by COVID-19 on the Lifestyle of the University Population of Argentina: Evaluation of Physical Activity, Food and Sleep (Efecto del confinamiento por COVID-19 sobre el estilo de vida en población universitaria de Argentina: Evaluaci

Retos ◽

10.47197/retos.v43i0.88461 ◽

2021 ◽

Vol 43 ◽

pp. 274-282

Author(s):

Leonardo Intelangelo ◽

Nacim Molina Gutiérrez ◽

Nicolás Bevacqua ◽

Cristian Mendoza ◽

Iris Paola Guzmán-Guzmán ◽

...

Keyword(s):

Physical Activity ◽

Sleep Quality ◽

Physical Activity Behavior ◽

Cross Sectional Study ◽

Lifestyle Changes ◽

Poor Sleep ◽

Activity Levels ◽

Cross Sectional ◽

Good Nutrition ◽

University Population

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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Abstract P073: Insufficient and Poor Sleep are Associated with Barriers to Healthy Eating and Lower Physical Activity: Baseline Characteristics of the EMPOWER Study

Circulation ◽

10.1161/circ.131.suppl_1.p073 ◽

2015 ◽

Vol 131 (suppl_1) ◽

Author(s):

Christopher E Kline ◽

Patrick J Strollo ◽

Eileen R Chasens ◽

Bonny Rockette-Wagner ◽

Andrea Kriska ◽

...

Keyword(s):

Physical Activity ◽

Weight Loss ◽

Sleep Quality ◽

Lifestyle Intervention ◽

Body Fat ◽

Healthy Eating ◽

Perceived Barriers ◽

Poor Sleep ◽

Body Habitus ◽

Overweight Adults

Background: Sleep is emerging as an important factor that impacts dietary habits, physical activity, and metabolism. However, minimal attention is typically given to sleep in traditional lifestyle interventions. The purpose of these analyses was to examine baseline associations between sleep and physical activity and perceived barriers to healthy eating, which are two common lifestyle intervention targets, in a sample of apparently healthy adults enrolled in a behavioral weight loss intervention study. Methods: 150 overweight adults (51.1±10.2 y; 91% female; 79% Caucasian) participated in a 12-month lifestyle intervention that featured adaptive ecological momentary assessment. Sleep, physical activity, barriers to healthy eating and body habitus/composition were assessed prior to the intervention. Objective sleep was estimated with 7 days of wrist-worn actigraphy (Philips Actiwatch 2); sleep onset latency (SOL; the amount of time it takes to fall asleep after going to bed), sleep efficiency (SE; the percentage of time in bed that is spent asleep), and total sleep time (TST; total time spent asleep) served as the primary actigraphic sleep variables. Subjective sleep quality was assessed with the Pittsburgh Sleep Quality Index (PSQI). Physical activity was assessed with 7 days of waist-worn accelerometry (ActiGraph GT3x). Perceived barriers to healthy eating were assessed with the Barriers to Healthy Eating questionnaire. Body mass index (BMI) served as the measure of body habitus, and body fat was assessed with bioelectrical impedance. Results: Mean BMI and body fat for the sample were 34.0±4.6 kg/m2 and 43.7±5.5%, respectively. Mean TST was 6.6±0.8 h/night; approximately 23% of the sample averaged less than 6 hours of sleep. Mean SOL and SE for the sample were 15.3±16.2 min and 85.7±6.1%, respectively. Based on the PSQI, 52.0% of the sample had poor sleep quality. Following adjustment for age, sex, and race, longer SOL was associated with fewer steps/day (β=-.19, p=.02) and less time spent in moderate to vigorous physical activity (MVPA; β=-.16, p=.03), and lower SE was related to less MVPA (β=.15, p=.04). Shorter TST was associated with greater barriers to healthy eating (β=-.16, p=.05). Longer SOL was associated with higher BMI (β=.16, p=.05) and body fat % (β=.15, p=.03), and lower SE was related to higher body fat % (β=-.13, p=.06). Conclusions: Short sleep duration and sleep disturbance were highly prevalent in this sample of overweight adults. Significant associations were observed between sleep and measures of body habitus/composition and eating and physical activity habits. Efforts to improve sleep during a behavioral intervention for weight loss may reduce barriers to healthy eating and improve physical activity habits as well as weight loss outcomes.

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Sleep Duration and Sleep Quality Are Associated with Physical Activity in Elderly People Living in Nursing Homes

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph15112512 ◽

2018 ◽

Vol 15 (11) ◽

pp. 2512 ◽

Cited By ~ 6

Author(s):

Lovro Štefan ◽

Goran Vrgoč ◽

Tomislav Rupčić ◽

Goran Sporiš ◽

Damir Sekulić

Keyword(s):

Physical Activity ◽

Nursing Homes ◽

Sleep Quality ◽

Sleep Duration ◽

Short Sleep Duration ◽

Cross Sectional ◽

Elderly Individuals ◽

Short Sleep ◽

Long Sleep ◽

Good Sleep

The main purpose of the study was to explore the associations of sleep duration and sleep quality with physical activity (PA). In this cross-sectional study, participants were 894 elderly individuals (mean age 80 ± 3 years; 56.0% women) living in nursing homes. PA, sleep duration, and sleep quality (based on the Pittsburgh Sleep Quality Index (PSQI)) were self-reported. The associations of sleep duration and sleep quality with PA at the nursing home level were analyzed using generalized estimating equations with clustering. Participants reporting short sleep duration (<6 h; OR = 0.45; 95% CI 0.25–0.80) were less likely to report sufficient PA, yet those reporting long sleep duration (>9 h; OR = 2.61; 95% CI 1.35–5.02) and good sleep quality (<5 points; OR = 1.59; 95% CI 1.19–2.12) were more likely to report sufficient PA. When sleep duration and sleep quality were entered into the same model, the same associations remained. This study shows that elderly individuals who report short sleep duration are less likely to meet PA guidelines, while those who report long sleep duration and good sleep quality are more likely to meet PA guidelines. Strategies aiming to improve sleep duration and sleep quality are warranted.

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Association of physical activity with sleep health: A systematic review

Revista Brasileira de Atividade Física & Saúde ◽

10.12820/rbafs.23e0057 ◽

2019 ◽

Vol 23 ◽

pp. 1-26

Author(s):

Andrea Wendt ◽

Thaynã Ramos Flores ◽

Inácio Crochemore Mohnsam Silva ◽

Fernando César Wehrmeister

Keyword(s):

Physical Activity ◽

Sleep Quality ◽

Sleep Duration ◽

Undergraduate Students ◽

Data Extraction ◽

Activity Measurement ◽

Poor Sleep ◽

Long Term Effects ◽

Sleep Health ◽

Cross Sectional

The aim of this study was to systematically examine the literature on physical activity and sleep in non-clinical and population-based settings. The inclusion criteria were original studies testing the association between physical activity (as exposure) and sleep (as outcome) in representative samples of the general population, workers, or undergraduate students. Sleep health included sleep duration, sleep quality and insomnia. Studies evaluating samples including only individuals with some disease or a health condition were excluded. A search was performed in the PubMed, Scopus, Lilacs, CINAHL, and SPORTdiscus databases in March 2018. Data extraction was performed using the following items: year, author, country, population, age group, sample size, study design, sleep measurement/definition, physical activity measurement/definition, adjustment and main results. A total of 57 studies were selected, which markedly used heterogeneous instruments to measure physical activity and sleep. The majority were conducted in high-income countries and with cross-sectional design. Physical activity was associated with lower odds of insomnia (observed in 10 of 17 studies), poor sleep quality (observed in 12 of 19 studies) and long sleep duration (observed in 7 of 11 studies). The results about short sleep or continuous sleep duration remain unclear. Physical activity seems to be associated with sleep quality and insomnia, especially among adult and elderly populations in which these outcomes are more usually measured. The short- and long-term effects of physical activity intensities and dose-response on sleep should be better evaluated.

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Relationshp Between Sleep Quality, Mood State, and Performance of Elite Air-Rifle Shooters

10.21203/rs.3.rs-1145112/v1 ◽

2021 ◽

Author(s):

Jiaojiao Lu ◽

Yan An ◽

Jun Qiu

Keyword(s):

Sleep Quality ◽

Mood State ◽

Sleep Latency ◽

Sleep Time ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Somatic Anxiety ◽

And Performance ◽

Air Rifle ◽

Good Sleep

Abstract Background To evaluate the impact of pre-competition sleep quality on the mood and performance of elite air-rifle shooters. Methods This study included 23 elite air-rifle shooters who participated in an air-rifle shooting-competition from April 2019 to October 2019. Sleep time, sleep efficiency, sleep latency, and wake-up time after sleep onset were monitored using actigraphy. The Pittsburgh sleep quality index and Profile of Mood State were used to assess sleep quality. Competitive State Anxiety Inventory-2 was used to evaluate mood state. Results The average time to fall asleep, sleep time, sleep efficiency, and subjective sleep quality were 20.6 ± 14.9 min, 7.0 ± 0.8 h, 85.9 ± 5.3%, and 5.2 ± 2.2, respectively. Sleep quality decreased as the competition progressed. Pre-competition sleep time in female athletes was significantly higher than that on the competition day (P = 0.05). Pre-competition sleep latency was significantly longer in women than in men (P = 0.021). During training and pre-competition, the tension, fatigue, depression, and emotional disturbance were significantly lower in athletes with good sleep quality than in athletes with poor sleep quality. Athletes with good sleep quality had significantly more energy. The PSQI total score was positively correlated with positive emotion, TMD, cognitive anxiety, and somatic anxiety POMS scores, and negatively correlated with energy and self-confidence scores. Race scores and depression and somatic anxiety scores were negatively correlated. Conclusion Poor sleep quality negatively impacted the mood of athletes; however, sleep indices and competition performance of athletes during competitions were not significantly correlated.

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A study on depression of the elderly with different sleep quality in pension institutions in Northeastern China

BMC Geriatrics ◽

10.1186/s12877-020-01777-4 ◽

2020 ◽

Vol 20 (1) ◽

Author(s):

Jun Zhang ◽

Yingying Zhang ◽

Zhenggang Luan ◽

Xiujie Zhang ◽

Haoran Jiang ◽

...

Keyword(s):

Logistic Regression ◽

Sleep Quality ◽

Filial Piety ◽

Depression Scale ◽

The Elderly ◽

Northeastern China ◽

Poor Sleep ◽

Elderly Adults ◽

Chewing Ability ◽

Good Sleep

Abstract Background China owns he largest aged population in the world, and the elderly adults who live in pension institutions are more likely to suffer from mental disorders than other elderly adults. The purpose of this study is to discover the risky factors of depression among nursing home residents with various sleeping quality. Methods We conducted a cross-sectional study in Northeastern China from May to September in 2017 using multistage sampling method and 507 elderly people without cognitive impairment in six pension institutions were interviewed. The Pittsburgh Sleep Quality Index (PSQI) and Geriatric Depression Scale (GDS) were adopted to collect the information of sleep quality and depression. We used logistic regression to analyze the factors influencing depression among the elderly adults with poor or good sleep quality. Results The overall depression rate among elderly adults was 21.7%. The logistic regression analysis revealed that marital status, chronic disease, regular exercise, physical ache, filial piety and chewing ability had significant effects on the depression of the elderly with good sleep quality. Loneliness, self-caring ability, chewing ability and chronic diseases had significant effects on depression of the elderly with poor sleep quality. Conclusion The prevalence of depressive symptoms in the elderly is not high. However, sleeping quality distinguishes root causes on elderly adults depression. Therefore, the risk factors of depression among elderly adults should be analyzed separately.

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