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  1. Akram U, McCarty K, Akram A, Gardani M, Tan A, Villarreal D, et al.
    Sleep Health, 2018 08;4(4):360-363.
    PMID: 30031529 DOI: 10.1016/j.sleh.2018.04.005
    OBJECTIVES: Type D personality is characterized by the combination of social inhibition and negative affectivity. This study examined the relationship between Type D personality and insomnia symptoms amongst a sample of the general-population.

    METHODS: Adults from the general-population (n = 392) completed online measures of Type D personality (DS14) and insomnia severity.

    RESULTS: Individuals with the Type D personality trait reported significantly greater symptoms of insomnia relative to Non-Type Ds. Moreover, insomnia-symptoms were independently related to negative affectivity (NA) and social inhibition (SI) and the Type D interaction (i.e. synergistic product of SI and NA). Linear regression analysis determined that NA but not SI significantly predicted insomnia symptoms after controlling for age and sex. However, after accounting for the Type D interaction, negative affectivity remained the only significant predictor of insomnia-symptoms.

    CONCLUSIONS: The Type D personality type appears to be related to insomnia-symptoms, both as a categorical and dimensional construct. These outcomes support prior research evidencing that whilst Type D personality is related to poor sleep in adolescents, NA appears to be the main contributor.

    Matched MeSH terms: Sleep Initiation and Maintenance Disorders/epidemiology
  2. Loft MH, Loo JM
    J Gambl Stud, 2015 Dec;31(4):1273-86.
    PMID: 25381635 DOI: 10.1007/s10899-014-9514-x
    Problem gambling and sleep difficulty threaten health. Using the basis of self-regulatory theory, potential mechanisms for these problems were investigated. Fifty-nine treatment-seeking gamblers completed the Pittsburgh Sleep Quality Index (sleep difficulty), the Sleep Hygiene Index (negative sleep habits), the Problem Gambling Severity Index and measures of self-regulatory capacity and arousability with data entered into regression analyses. Results supported the relationship between problem gambling and greater sleep difficulty (β = .18, t = 3.22, p < .01). Self-regulatory capacity mediated the relationship between problem gambling and sleep difficulty (R (2) change = .15, F(2, 57) = 12.14, β = -.45, t = -3.45, p < .001) as well as between problem gambling and negative sleep habits; R (2) change = .17, F(2, 57) = 13.57, β = -.28, t = -3.76, p < .001. Arousability predicted sleep difficulty (β = .15, t = 3.07, p < .01) and negative sleep habits (β = .40, t = 5.40, p < .01) but showed no relationship with problem gambling (r = .09, ns). Self-regulatory capacity represents an important mediator of the relationship between problem gambling and sleep-related behaviour and if targeted could reduce behavioural threats to health.
    Matched MeSH terms: Sleep Initiation and Maintenance Disorders/epidemiology
  3. Tse LA, Wang C, Rangarajan S, Liu Z, Teo K, Yusufali A, et al.
    JAMA Netw Open, 2021 06 01;4(6):e2113775.
    PMID: 34190997 DOI: 10.1001/jamanetworkopen.2021.13775
    Importance: Obesity is a growing public health threat leading to serious health consequences. Late bedtime and sleep loss are common in modern society, but their associations with specific obesity types are not well characterized.

    Objective: To assess whether sleep timing and napping behavior are associated with increased obesity, independent of nocturnal sleep length.

    Design, Setting, and Participants: This large, multinational, population-based cross-sectional study used data of participants from 60 study centers in 26 countries with varying income levels as part of the Prospective Urban Rural Epidemiology study. Participants were aged 35 to 70 years and were mainly recruited during 2005 and 2009. Data analysis occurred from October 2020 through March 2021.

    Exposures: Sleep timing (ie, bedtime and wake-up time), nocturnal sleep duration, daytime napping.

    Main Outcomes and Measures: The primary outcomes were prevalence of obesity, specified as general obesity, defined as body mass index (BMI; calculated as weight in kilograms divided by height in meters squared) of 30 or greater, and abdominal obesity, defined as waist circumference greater than 102 cm for men or greater than 88 cm for women. Multilevel logistic regression models with random effects for study centers were performed to calculate adjusted odds ratios (AORs) and 95% CIs.

    Results: Overall, 136 652 participants (81 652 [59.8%] women; mean [SD] age, 51.0 [9.8] years) were included in analysis. A total of 27 195 participants (19.9%) had general obesity, and 37 024 participants (27.1%) had abdominal obesity. The mean (SD) nocturnal sleep duration was 7.8 (1.4) hours, and the median (interquartile range) midsleep time was 2:15 am (1:30 am-3:00 am). A total of 19 660 participants (14.4%) had late bedtime behavior (ie, midnight or later). Compared with bedtime between 8 pm and 10 pm, late bedtime was associated with general obesity (AOR, 1.20; 95% CI, 1.12-1.29) and abdominal obesity (AOR, 1.20; 95% CI, 1.12-1.28), particularly among participants who went to bed between 2 am and 6 am (general obesity: AOR, 1.35; 95% CI, 1.18-1.54; abdominal obesity: AOR, 1.38; 95% CI, 1.21-1.58). Short nocturnal sleep of less than 6 hours was associated with general obesity (eg, <5 hours: AOR, 1.27; 95% CI, 1.13-1.43), but longer napping was associated with higher abdominal obesity prevalence (eg, ≥1 hours: AOR, 1.39; 95% CI, 1.31-1.47). Neither going to bed during the day (ie, before 8pm) nor wake-up time was associated with obesity.

    Conclusions and Relevance: This cross-sectional study found that late nocturnal bedtime and short nocturnal sleep were associated with increased risk of obesity prevalence, while longer daytime napping did not reduce the risk but was associated with higher risk of abdominal obesity. Strategic weight control programs should also encourage earlier bedtime and avoid short nocturnal sleep to mitigate obesity epidemic.

    Matched MeSH terms: Sleep Initiation and Maintenance Disorders/epidemiology
  4. Chee KY, Tripathi A, Avasthi A, Chong MY, Xiang YT, Sim K, et al.
    Asia Pac Psychiatry, 2015 Sep;7(3):276-85.
    PMID: 25641910 DOI: 10.1111/appy.12170
    This study was to assess differences in the symptom profile of depressive illness across various countries/territories in Asia. The study was a part of the Research on Asia Psychotropic Prescription project. The participating countries/territories include China, Hong Kong, India, Indonesia, Japan, Korea, Malaysia, Singapore, Taiwan, and Thailand.
    Matched MeSH terms: Sleep Initiation and Maintenance Disorders/epidemiology
  5. Zailinawati AH, Ariff KM, Nurjahan MI, Teng CL
    Asia Pac J Public Health, 2008;20(3):224-33.
    PMID: 19124316 DOI: 10.1177/1010539508316975
    This study aimed to determine the prevalence and pattern of insomnia in a Malaysian population aged 30 to 70 years. The sample consisted of 1611 subjects, recruited by stratified random sampling and interviewed using a semistructured questionnaire conducted in 2004. This was a community-based survey in 4 Malaysian states. The prevalence of insomnia symptom was 33.8%, and 12.2% of the subjects had chronic insomnia. Insomnia was more common among elderly; those who were separated, divorced, or widowed; and those who smoked at bedtime. Subjects with insomnia had a higher prevalence of feeling depressed (12.7), loss of concentration (19.1%), exhaustion (17.2%), poor memory (9.2%), decreased work productivity (6.4%), and perceived poor health status (40.9%; all, P < .05). A total of 22.2% of those with insomnia had excessive daytime sleepiness based on their Epworth Sleepiness Score (P =
    Matched MeSH terms: Sleep Initiation and Maintenance Disorders/epidemiology*
  6. Yunus RM, Wazid SW, Hairi NN, Choo WY, Hairi FM, Sooryanarayana R, et al.
    PLoS One, 2017;12(7):e0180222.
    PMID: 28686603 DOI: 10.1371/journal.pone.0180222
    OBJECTIVES: To examine the association between elder abuse and poor sleep using a Malay validated version of Pittsburgh Sleep Quality Index (PSQI).
    DESIGN: This study was divided into two phases. Phase I tested the construct validity and reliability of the Malay version of PSQI. Phase II was a population-based, cross-sectional study with a multi-stage cluster sampling method. Home-based interviews were conducted by trained personnel using a structured questionnaire, to determine exposure and outcome.
    SETTING: Kuala Pilah, a district in Negeri Sembilan which is one of the fourteen states in Malaysia.
    PARTICIPANTS: 1648 community-dwelling older Malaysians.
    RESULTS: The Malay version of PSQI had significant test re-test reliability with intra-class correlation coefficients of 0.62. Confirmatory factor analyses revealed that one factor PSQI scale with three components (subjective sleep quality, sleep latency, and sleep disturbances) was most suitable. Cronbach's Alpha was 0.60 and composite reliability was 0.63. PSQI scores were highest among neglect (4.11), followed by physical (4.10), psychological (3.96) and financial abuse (3.60). There was a dose-response relationship between clustering of abuse and PSQI scores; 3.41, 3.50 and 3.84 for "no abuse", "1 type of abuse" and "2 types or more". Generalized linear models revealed six variables as significant determinants of sleep quality-abuse, co-morbidities, self-rated health, income, social support and gait speed. Among abuse subtypes, only neglect was significantly associated with poor sleep.
    CONCLUSION: The Malay PSQI was valid and reliable. Abuse was significantly associated with poor sleep. As sleep is essential for health and is a good predictor for mortality among older adults, management of abuse victims should entail sleep assessment. Interventions or treatment modalities which focus on improving sleep quality among abuse victims should be designed.
    Matched MeSH terms: Sleep Initiation and Maintenance Disorders/epidemiology
  7. Musa NA, Moy FM, Wong LP
    Ind Health, 2018 Oct 03;56(5):407-418.
    PMID: 29848899 DOI: 10.2486/indhealth.2018-0052
    This study aimed to determine the prevalence and factors associated with poor sleep quality among secondary school teachers in the state of Selangor, Malaysia. This was a cross sectional study, conducted in two phases. Phase I tested the reliability of the Pittsburgh Sleep Quality Index in the Malay language (M-PSQI), whereas Phase II determined the prevalence and factors associated with poor sleep quality where a total of 1,871 secondary school teachers were studied. Participants were recruited using multistage sampling. Self-administered questionnaire was used to collect data on socio-demographic and teaching characteristics, comorbidities and characteristics of sleep. The M-PSQI was used to measure sleep quality. The Depression Anxiety Stress Scale-21 was used to measure mental health status. Results showed that the M-PSQI had a good internal consistency and moderate reliability. The prevalence of poor sleep quality was 61 (95% CI: 54-67)%. Total teaching hours/day, depression and stress were significantly associated with poor sleep quality in the univariate analysis, while only stress (OR 1.04; 95% CI 1.02-1.05%) remained significant in the multivariate analyses. In conclusion, stress level of the secondary school teachers should be reduced to improve sleep quality.
    Matched MeSH terms: Sleep Initiation and Maintenance Disorders/epidemiology*
  8. Srisurapanont M, Hong JP, Tian-Mei S, Hatim A, Liu CY, Udomratn P, et al.
    Asia Pac Psychiatry, 2013 Dec;5(4):259-67.
    PMID: 24038919 DOI: 10.1111/appy.12104
    The objective of this study was to investigate the clinical features of depression in Asian patients.
    Matched MeSH terms: Sleep Initiation and Maintenance Disorders/epidemiology
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