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  1. Fulltext Work-family conflict and sleep disturbance: the Malaysian working women study
    Aazami S, Mozafari M, Shamsuddin K, Akmal S
    Ind Health, 2016;54(1):50-7.
    PMID: 26423332 DOI: 10.2486/indhealth.2015-0086
    This study aimed at assessing effect of the four dimensions of work-family conflicts (strain and time-based work interference into family and family interference into work) on sleep disturbance in Malaysian working women. This cross-sectional study was conducted among 325 Malaysian married working women. Multiple-stage simple random sampling method was used to recruit women from public service departments of Malaysia. Self-administrated questionnaires were used to measure the study variables and data were analyzed using SPSS version 21. We found that high level of the four dimensions of work-family conflicts significantly increase sleep disturbance. Our analyses also revealed an age-dependent effect of the work-family conflict on sleep disturbance. Women in their 20 to 30 yr old suffer from sleep disturbance due to high level of time-based and strain-based work-interference into family. However, the quality of sleep among women aged 30-39 were affected by strain-based family-interference into work. Finally, women older than 40 yr had significantly disturbed sleep due to strain-based work-interference into family as well as time-based family interference into work. Our findings showed that sleep quality of working women might be disturbed by experiencing high level of work-family conflict. However, the effects of inter-role conflicts on sleep varied among different age groups.
    Matched MeSH terms: Sleep Disorders, Intrinsic/etiology*
  2. Prevalence and determinants of restless leg syndrome in type 2 diabetes mellitus (T2DM) in Pakistan
    Nawaz MS, Nawaz MS, Shah KU, Mustafa ZU, Ahmed A, Sajjad Ahmed H, et al.
    Diabetes Metab Syndr, 2021 Feb 13;15(2):525-528.
    PMID: 33668002 DOI: 10.1016/j.dsx.2021.02.013
    BACKGROUND AND AIMS: Restless legs syndromes (RLS) are intrinsic sleeping disorder and its prevalence rate is 10-15% in general population but it is observed that prevalence rate is different in diabetes patients. Current study aims to find prevalence and determinants of RLS in people living with type 2 diabetes mellitus in Pakistan.

    METHOD: A multicenter cross-sectional observational study was conducted in 388 diabetes patients attending daily diabetes clinics and teaching hospitals in Pakistan's twin city between August 2019 and February 2020. The chi-square test and linear regression were used to detect RLS-related factors in type 2 diabetes mellitus.

    RESULTS: The prevalence of RLS found was; 3.1% patients with diabetes were suffering from very severe RLS, 23.5% from severe RLS, 34% from moderate RLS, 21.1% from mild RLS and 18.3% from non-RLS. Gender, age, education, blood glucose fasting (BSF), blood glucose random (BSR) and HBA1c were found to be significant predictors of RLS in patients with diabetes.

    CONCLUSION: Policy makers can develop local interventions to curb the growing RLS prevalence by keeping in control the risk factors of RLS in people living with type 2 diabetes.

    Matched MeSH terms: Sleep Disorders, Intrinsic
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