Literature DB >> 33766051

Effect of a physical activity and sleep m-health intervention on a composite activity-sleep behaviour score and mental health: a mediation analysis of two randomised controlled trials.

Mitch J Duncan1,2, Anna T Rayward3,4, Elizabeth G Holliday3, Wendy J Brown5, Corneel Vandelanotte6, Beatrice Murawski3,7, Ronald C Plotnikoff3,4.   

Abstract

BACKGROUND: To examine if a composite activity-sleep behaviour index (ASI) mediates the effects of a combined physical activity and sleep intervention on symptoms of depression, anxiety, or stress, quality of life (QOL), energy and fatigue in adults.
METHODS: This analysis used data pooled from two studies: Synergy and Refresh. Synergy: Physically inactive adults (18-65 years) who reported poor sleep quality were recruited for a two-arm Randomised Controlled Trial (RCT) (Physical Activity and Sleep Health (PAS; n = 80), or Wait-list Control (CON; n = 80) groups). Refresh: Physically inactive adults (40-65 years) who reported poor sleep quality were recruited for a three-arm RCT (PAS (n = 110), Sleep Health-Only (SO; n = 110) or CON (n = 55) groups). The SO group was omitted from this study. The PAS groups received a pedometer, and accessed a smartphone/tablet "app" using behaviour change strategies (e.g., self-monitoring, goal setting, action planning), with additional email/SMS support. The ASI score comprised self-reported moderate-to-vigorous-intensity physical activity, resistance training, sitting time, sleep duration, efficiency, quality and timing. Outcomes were assessed using DASS-21 (depression, anxiety, stress), SF-12 (QOL-physical, QOL-mental) and SF-36 (Energy & Fatigue). Assessments were conducted at baseline, 3 months (primary time-point), and 6 months. Mediation effects were examined using Structural Equation Modelling and the product of coefficients approach (AB), with significance set at 0.05.
RESULTS: At 3 months there were no direct intervention effects on mental health, QOL or energy and fatigue (all p > 0.05), and the intervention significantly improved the ASI (all p < 0.05). A more favourable ASI score was associated with improved symptoms of depression, anxiety, stress, QOL-mental and of energy and fatigue (all p < 0.05). The intervention effects on symptoms of depression ([AB; 95%CI] -0.31; - 0.60,-0.11), anxiety (- 0.11; - 0.27,-0.01), stress (- 0.37; - 0.65,-0.174), QOL-mental (0.53; 0.22, 1.01) and ratings of energy and fatigue (0.85; 0.33, 1.63) were mediated by ASI. At 6 months the magnitude of association was larger although the overall pattern of results remained similar.
CONCLUSIONS: Improvements in the overall physical activity and sleep behaviours of adults partially mediated the intervention effects on mental health and quality of life outcomes. This highlights the potential benefit of improving the overall pattern of physical activity and sleep on these outcomes. TRIAL REGISTRATION: Australian New Zealand Clinical Trial Registry: ACTRN12617000680369 ; ACTRN12617000376347 . Universal Trial number: U1111-1194-2680; U1111-1186-6588. Human Research Ethics Committee Approval: H-2016-0267; H-2016-0181.

Entities:  

Keywords:  Anxiety; Depression; Mediation; Physical activity; Quality of life; Resistance training; Sitting; Sleep health; Sleep quality; Stress

Mesh:

Year:  2021        PMID: 33766051      PMCID: PMC7992852          DOI: 10.1186/s12966-021-01112-z

Source DB:  PubMed          Journal:  Int J Behav Nutr Phys Act        ISSN: 1479-5868            Impact factor:   6.457


  64 in total

1.  The Depression Anxiety Stress Scale (DASS).

Authors:  Luke Parkitny; James McAuley
Journal:  J Physiother       Date:  2010       Impact factor: 7.000

Review 2.  Adult measures of general health and health-related quality of life: Medical Outcomes Study Short Form 36-Item (SF-36) and Short Form 12-Item (SF-12) Health Surveys, Nottingham Health Profile (NHP), Sickness Impact Profile (SIP), Medical Outcomes Study Short Form 6D (SF-6D), Health Utilities Index Mark 3 (HUI3), Quality of Well-Being Scale (QWB), and Assessment of Quality of Life (AQoL).

Authors:  Lucy Busija; Eva Pausenberger; Terry P Haines; Sharon Haymes; Rachelle Buchbinder; Richard H Osborne
Journal:  Arthritis Care Res (Hoboken)       Date:  2011-11       Impact factor: 4.794

3.  Empirical derivation of cutoff values for the sleep health metric and its relationship to cardiometabolic morbidity: results from the Midlife in the United States (MIDUS) study.

Authors:  Ryan C Brindle; Lan Yu; Daniel J Buysse; Martica H Hall
Journal:  Sleep       Date:  2019-09-06       Impact factor: 5.849

4.  A tool for measuring workers' sitting time by domain: the Workforce Sitting Questionnaire.

Authors:  Josephine Y Chau; Hidde P van der Ploeg; Scott Dunn; John Kurko; Adrian E Bauman
Journal:  Br J Sports Med       Date:  2011-09-22       Impact factor: 13.800

5.  Does physical activity attenuate, or even eliminate, the detrimental association of sitting time with mortality? A harmonised meta-analysis of data from more than 1 million men and women.

Authors:  Ulf Ekelund; Jostein Steene-Johannessen; Wendy J Brown; Morten Wang Fagerland; Neville Owen; Kenneth E Powell; Adrian Bauman; I-Min Lee
Journal:  Lancet       Date:  2016-07-28       Impact factor: 79.321

Review 6.  Health benefits of physical activity: a systematic review of current systematic reviews.

Authors:  Darren E R Warburton; Shannon S D Bredin
Journal:  Curr Opin Cardiol       Date:  2017-09       Impact factor: 2.161

7.  Current and lifetime comorbidity of the DSM-IV anxiety and mood disorders in a large clinical sample.

Authors:  T A Brown; L A Campbell; C L Lehman; J R Grisham; R B Mancill
Journal:  J Abnorm Psychol       Date:  2001-11

Review 8.  Differential mortality rates in major and subthreshold depression: meta-analysis of studies that measured both.

Authors:  Pim Cuijpers; Nicole Vogelzangs; Jos Twisk; Annet Kleiboer; Juan Li; Brenda W Penninx
Journal:  Br J Psychiatry       Date:  2013-01       Impact factor: 9.319

9.  Sleep duration and total and cause-specific mortality in a large US cohort: interrelationships with physical activity, sedentary behavior, and body mass index.

Authors:  Qian Xiao; Sarah K Keadle; Albert R Hollenbeck; Charles E Matthews
Journal:  Am J Epidemiol       Date:  2014-10-03       Impact factor: 4.897

10.  Validity and responsiveness to change of the Active Australia Survey according to gender, age, BMI, education, and physical activity level and awareness.

Authors:  Corneel Vandelanotte; Mitch J Duncan; Rob Stanton; Richard R Rosenkranz; Cristina M Caperchione; Amanda L Rebar; Trevor N Savage; W Kerry Mummery; Gregory S Kolt
Journal:  BMC Public Health       Date:  2019-04-15       Impact factor: 3.295

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  2 in total

1.  Effectiveness of a Parent-Focused Intervention Targeting 24-H Movement Behaviors in Preschool-Aged Children: Study Protocol for a Randomized Controlled Trial.

Authors:  Jie Feng; Wendy Yajun Huang; Cindy Hui-Ping Sit
Journal:  Front Public Health       Date:  2022-05-23

2.  Interactive Compensation Effects of Physical Activity and Sleep on Mental Health: A Longitudinal Panel Study among Chinese College Students during the COVID-19 Pandemic.

Authors:  Yao Zhang; Jianxiu Liu; Yi Zhang; Limei Ke; Ruidong Liu
Journal:  Int J Environ Res Public Health       Date:  2022-09-28       Impact factor: 4.614

  2 in total

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