Self-reported domain-specific and accelerometer-based physical activity and sedentary behaviour in relation to psychological distress among an urban Asian population

被引:36
作者
Chu, A. H. Y. [1 ]
van Dam, R. M. [1 ,2 ]
Biddle, S. J. H. [3 ]
Tan, C. S. [1 ]
Koh, D. [1 ,4 ]
Mueller-Riemenschneider, F. [1 ,5 ]
机构
[1] Natl Univ Singapore, Saw Swee Hock Sch Publ Hlth, Singapore 117549, Singapore
[2] Harvard Sch Publ Hlth, Dept Nutr, Boston, MA 02115 USA
[3] Univ Southern Queensland, Inst Resilient Reg, Phys Act Lifestyles PALs Res Grp, Ipswich, Qld, Australia
[4] Univ Brunei Darussalam, PAPRSB Inst Hlth Sci, Jalan Tungku Link, BE-1410 Gadong, Brunei
[5] Charite, Med Ctr, Inst Social Med Epidemiol & Hlth Econ, D-10117 Berlin, Germany
关键词
Physical activity; Self-report; Accelerometry; Mental health; Adult; SERIOUS MENTAL-ILLNESS; ACTIVITY INTERVENTIONS; SCREENING SCALES; SITTING TIME; HEALTH; EXERCISE; VALIDITY; DEPRESSION; ADULTS; K6;
D O I
10.1186/s12966-018-0669-1
中图分类号
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号
100403 ;
摘要
Background: The interpretation of previous studies on the association of physical activity and sedentary behaviour with psychological health is limited by the use of mostly self-reported physical activity and sedentary behaviour, and a focus on Western populations. We aimed to explore the association of self-reported and devise-based measures of physical activity and sedentary behaviour domains on psychological distress in an urban multi-ethnic Asian population. Methods: From a population-based cross-sectional study of adults aged 18-79 years, data were used from an overall sample (n = 2653) with complete self-reported total physical activity/sedentary behaviour and domain-specific physical activity data, and a subsample (n = 703) with self-reported domain-specific sedentary behaviour and accelerometry data. Physical activity and sedentary behaviour data were collected using the Global Physical Activity Questionnaire (GPAQ), a domain-specific sedentary behaviour questionnaire and accelerometers. The Kessler Screening Scale (K6) and General Health Questionnaire (GHQ-12) were used to assess psychological distress. Logistic regression models were used to calculate odds ratios (ORs) and 95% confidence intervals, adjusted for socio-demographic and lifestyle characteristics. Results: The sample comprised 45.0% men (median age = 45.0 years). The prevalence of psychological distress based on the K6 and GHQ-12 was 8.4% and 21.7%, respectively. In the adjusted model, higher levels of self-reported moderate-to-vigorous physical activity (MVPA) were associated with significantly higher odds for K6 (OR = 1.47 [1.03-2.10]; p-trend = 0.03) but not GHQ-12 (OR = 0.97 [0.77-1.23]; p-trend = 0.79), when comparing the highest with the lowest tertile. Accelerometry-assessed MVPA was not significantly associated with K6 (p-trend = 0.50) nor GHQ-12 (p-trend = 0.74). The highest tertile of leisure-time physical activity, but not work-or transport-domain activity, was associated with less psychological distress using K6 (OR = 0.65 [0.43-0.97]; p-trend = 0.02) and GHQ-12 (OR= 0.72 [0.55-0.93]; p-trend = 0.01). Self-reported sedentary behaviour was not associated with K6 (p-trend = 0.90) and GHQ-12 (p-trend = 0.33). The highest tertile of accelerometry-assessed sedentary behaviour was associated with significantly higher odds for K6 (OR = 1.93 [1.00-3.75]; p-trend = 0.04), but not GHQ-12 (OR = 1.34 [0.86-2.08]; p-trend = 0.18). Conclusions: Higher levels of leisure-time physical activity and lower levels of accelerometer-based sedentary behaviour were associated with lower psychological distress. This study underscores the importance of assessing accelerometer-based and domain-specific activity in relation to mental health, instead of solely focusing on total volume of activity.
引用
收藏
页数:14
相关论文
共 74 条
[1]  
Anderson Scott, 2016, Prev Med Rep, V4, P238, DOI 10.1016/j.pmedr.2016.06.014
[2]   Non-Occupational Sitting and Mental Well-Being in Employed Adults [J].
Atkin, Andrew J. ;
Adams, Emma ;
Bull, Fiona C. ;
Biddle, Stuart J. H. .
ANNALS OF BEHAVIORAL MEDICINE, 2012, 43 (02) :181-188
[3]   SELF-EFFICACY - TOWARD A UNIFYING THEORY OF BEHAVIORAL CHANGE [J].
BANDURA, A .
PSYCHOLOGICAL REVIEW, 1977, 84 (02) :191-215
[4]  
Cerin E., 2009, Ment Health Phys Act, V2, P55, DOI [DOI 10.1016/J.MHPA.2009.09.004, 10.1016/j.mhpa.2009.09.004]
[5]   A tool for measuring workers' sitting time by domain: the Workforce Sitting Questionnaire [J].
Chau, Josephine Y. ;
van der Ploeg, Hidde P. ;
Dunn, Scott ;
Kurko, John ;
Bauman, Adrian E. .
BRITISH JOURNAL OF SPORTS MEDICINE, 2011, 45 (15) :1216-1222
[6]   Validation of Accelerometer Wear and Nonwear Time Classification Algorithm [J].
Choi, Leena ;
Liu, Zhouwen ;
Matthews, Charles E. ;
Buchowski, Maciej S. .
MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2011, 43 (02) :357-364
[7]  
Chong SA, 2012, ANN ACAD MED SINGAP, V41, P49
[8]   Defining the rest interval associated with the main sleep period in actigraph scoring [J].
Chow, Chin Moi ;
Wong, Shi Ngar ;
Shin, Mirim ;
Maddox, Rebecca G. ;
Feilds, Kristy-Lee ;
Paxton, Karen ;
Hawke, Catherine ;
Hazell, Philip ;
Steinbeck, Katharine .
NATURE AND SCIENCE OF SLEEP, 2016, 8 :321-328
[9]   Do workplace physical activity interventions improve mental health outcomes? [J].
Chu, A. H. Y. ;
Koh, D. ;
Moy, F. M. ;
Mueller-Riemenschneider, F. .
OCCUPATIONAL MEDICINE-OXFORD, 2014, 64 (04) :235-245
[10]   Reliability and Validity of the Self- and Interviewer-Administered Versions of the Global Physical Activity Questionnaire (GPAQ) [J].
Chu, Anne H. Y. ;
Ng, Sheryl H. X. ;
Koh, David ;
Mueller-Riemenschneider, Falk .
PLOS ONE, 2015, 10 (09)