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Journal of Peking University (Health Sciences) ›› 2022, Vol. 54 ›› Issue (3): 490-497. doi: 10.19723/j.issn.1671-167X.2022.03.014

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Joint association of sedentary behavior and physical activity on anxiety tendency among occupational population in China

Yi-hua LIU,Qing-ping YUN,Lan-chao ZHANG,Xiao-yue ZHANG,Yu-ting LIN,Fang-jing LIU,Zhi-jie ZHENG,Chun CHANG*()   

  1. Department of Social Medicine and Health Education, Peking University School of Public Health, Beijing 100191, China
  • Received:2022-02-10 Online:2022-06-18 Published:2022-06-14
  • Contact: Chun CHANG E-mail:changchun@bjmu.edu.cn

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Abstract:

Objective: To investigate the status and influencing factors of anxiety tendency among occupational population in China and to examine the joint association between sedentary behavior and physical activity with anxiety tendency. Methods: The data were from the 2021 Asia Best Workplace (Chinese mainland) program. The Generalized Anxiety Tendency scale was used to assess employees' anxiety status, and Logistic regression was used to analyze the factors influencing anxiety tendency and calculate the odds ratio (OR) within different groups. The OR of sitting for each sitting-physical activity (PA) combination group and within PA strata were calculated to explore the joint association. Results: A total of 11 903 workers with an average age of 32.9 years were included in this study. Among them, 3 562 workers had anxiety tendency (29.9%) and the prevalence of those under 40 years old (30.6%) was significantly higher than the other age group (26.7%). 41.0% of the respondents had the moderated to vigorous physical activity. Their average daily sitting time was 9.4 h, and the percentage of those who exceeded 8 h sitting reached 73.9% in the past week. The analysis of Logistic regression showed that smoking (OR=1.24, 95%CI: 1.23-1.39), longer sedentary time and lower physical activity level were risk factors for anxiety tendency, and longer average daily sleep time (OR=0.56, 95%CI: 0.51-0.61) was a protective factor. The joint association analysis and stratified analysis of physical activity and sedentary behavior with anxiety tendency showed that increased sedentary time combined with decreased physical activity intensity was significantly associated with increased risk of anxiety tendency (range of OR: 1.64-3.14). The threshold for sedentary time in total as a risk factor for anxiety tendency gradually decreased as physical activity intensity increased. Conclusion: The anxiety tendency and sedentary behavior among the occupational population should recieve more attention. Lack of physical activity and sedentary behavior are both risk factors for anxiety tendency, and strengthening the intensity of physical activity can attenuate the harmful effects of sedentary behavior on anxiety tendency.

Key words: Anxiety, Occupational groups, Sedentary lifestyle, Physical activity

CLC Number: 

  • R131

Table 1

Socio-demographic characteristics and anxiety status of respondents"

Items n (%) Anxiety
n (%) P
Gender
  Male 5 643 (47.4) 1 662 (29.5)
  Female 6 260 (52.6) 1 900 (30.4)
Age/years
  ≥40 2 071 (17.4) 522 (26.7) < 0.01
   < 40 8 832 (82.6) 3 010 (30.6)
Education level
  College degree and below 3 637 (30.6) 1 008 (27.7)
  Undergraduate and above 8 266 (69.4) 2 554 (30.9)
Occupation
  Office workers 6 746 (56.7) 2 074 (30.7)
  Production operator 1 632 (13.7) 419 (25.7) < 0.01
  Technical workers 1 923 (16.2) 536 (27.9) < 0.05
  Others 1 602 (13.5) 533 (33.3) < 0.05
Positions
  General staff 8 464 (71.1) 2 517 (29.7)
  Management 3 439 (28.9) 1 045 (30.4)
BMI
  Normal 8 477 (71.3) 2 503 (29.5)
  Overweight 2 706 (22.7) 840 (31.0)
  Obesity 714 (6.0) 217 (30.4)
Average daily sitting time
  ≥8 h 9 083 (76.3) 2 839 (25.6) < 0.01
   < 8 h 2 820 (23.7) 723 (31.3)
Average daily sleep time
  ≤7 h 3 616 (30.4) 1 414 (39.1) < 0.01
  >7 h 8 287 (69.6) 2 148 (25.9)
Physical exercise
  Low 7 025 (59.0) 2 399 (34.1)
  Moderate 2 799 (23.5) 702 (25.1) < 0.01
  High 2 079 (17.5) 461 (22.2) < 0.01
Smoking
  No 9 682 (81.3) 2 829 (29.2) < 0.01
  Yes 2 221 (18.7) 733 (33.0)
Total 11 903 (100.0) 3 562 (29.9)

Table 2

Comparison of sitting time within different groups of occupational population"

Items Work sitting time/h, ${\bar x}$±s Leisure sitting time/h, ${\bar x}$±s Transportation time/h, ${\bar x}$±s Percentage of SB (≥8 h in total), n (%)
Gender
  Male 5.21±3.13 2.01±1.48 1.24±1.15 3 492 (61.9)**
  Female 6.95±2.33 2.16±1.57 1.16±0.96 5 303 (84.7)
Age/years
  ≥40 6.14±2.91 2.12±1.56 1.19±1.05 8 233 (74.1)
   < 40 6.06±2.70 1.97±1.38 1.26±1.06 562 (71.4)
Education level
  College degree and below 4.14±3.22 1.82±1.49 1.06±1.22 1 696 (46.6)**
  Undergraduate and above 7.00±2.20 2.21±1.53 1.26±0.97 7 099 (85.9)
Occupation
  Office workers 7.24±1.91 2.26±1.58 1.18±0.94 6 029 (89.4)
  Production operator 2.54±2.98 1.62±1.43 0.97±1.33 424 (26.0)**
  Technical workers 6.39±2.73 1.99±1.40 1.23±1.01 1 431 (74.4)**
  Others 4.77±2.81 1.98±1.42 1.45±1.19 911 (56.9)**
Positions
  General staff 6.08±3.00 2.13±1.56 1.18±1.09 6 199 (73.2)
  Management 6.25±2.53 2.00±1.45 1.23±0.98 2 596 (75.5)
BMI
  Normal 6.34±2.76 2.12±1.54 1.17±1.02 6 501 (76.7)
  Overweight 5.66±3.03 2.01±1.47 1.26±1.13 1 834 (67.8)**
  Obesity 5.35±3.19 2.09±1.61 1.34±1.21 456 (63.9)**
Average daily sleep time
  ≥8 h 6.15±2.80 2.07±1.53* 1.12±1.02* 6 182 (74.6)
   < 8 h 6.08±3.05 2.15±1.53 1.37±1.12 2 613 (72.3)
Physical exercise
  Low 6.15±3.03 2.08±1.57 1.22±1.08 5 143 (73.2)
  Moderate 6.21±2.63 2.09±1.46 1.19±1.02 2 141 (76.5)
  High 5.93±2.63 2.11±1.49 1.14±1.01 1 511 (72.7)
Smoking
  No 6.49±2.67 2.12±1.53 1.18±1.00 7 614 (78.6)**
  Yes 4.54±3.16 1.97±1.51 1.29±1.26 1 181 (53.2)
Total 6.13±2.87 2.09±1.53 1.20±1.06 8 795 (73.9)

Table 3

Logistic regression analysis on the influencing factors of anxiety"

Variables β OR (95%CI) P
Age -0.01 0.99 (0.99-1.00) < 0.01
Occupation
  Production operator -0.18 0.84 (0.72-0.97) < 0.05
  Technical workers -0.10 0.90 (0.80-1.01)
  Others 0.12 1.13 (0.99-1.28)
  Office workers
Smoking
  Yes 0.22 1.24 (1.23-1.39) < 0.001
  No
Average daily sleep time
  ≥8 h -0.56 0.56 (0.51-0.61) < 0.001
   < 8 h
Average daily sitting time
  >12 h 0.80 2.22 (1.88-2.62) < 0.001
  >8 h 0.47 1.60 (1.36-1.90) < 0.001
  >4 h 0.34 1.41 (1.19-1.68) < 0.001
  ≤4 h
Physical exercise
  Low 0.54 1.77 (1.58-1.99) < 0.001
  Moderate 0.15 1.17 (1.02-1.33) 0.03
  High

Figure 1

Joint (A) and stratified (B) associations of sitting time in total and physical activity with anxiety A, joint associations of sitting time in total, the reference categories are the groups with the highest levels of physical activity in combination with < 4 h/d of sitting; B, stratified associations of sitting time in total, the reference categories is the group of < 4 h/d of sitting at each level of physical activity. HA, highly active; MA, moderated active; LA, low active; ST, sitting time."

Figure 2

Joint (A) and stratified (B) associations of work sitting time and physical activity with anxiety A, joint associations of work sitting time, the reference categories are the groups with the highest levels of physical activity in combination with ≤4 h/d of sitting; B, stratified associations of work sitting time, the reference categories is the group of ≤4 h/d of sitting at each level of physical activity. HA, highly active; MA, moderated active; LA, low active; WST, work sitting time."

1 Charlson FJ , Baxter AJ , Cheng HG , et al. The burden of mental, neurological, and substance use disorders in China and India: A systematic analysis of community representative epidemiological studies[J]. Lancet, 2016, 388 (10042): 376- 389.
doi: 10.1016/S0140-6736(16)30590-6
2 健康中国行动推进委员会. 健康中国行动(2019—2030年)[EB/OL]. (2019-07-15)[2020-11-20]. http://www.gov.cn/xinwen/2019-07/15/content_5409694.htm.
3 Dewa C , Lesage A , Goering P , et al. Nature and prevalence of mental illness in the workplace[J]. Healthc Pap, 2004, 5 (2): 12- 25.
doi: 10.12927/hcpap..16820
4 Schuch FB , Vancampfort D , Firth J , et al. Physical activity and incident depression: A meta-analysis of prospective cohort studies[J]. Am J Psychiatry, 2018, 175 (7): 631- 648.
doi: 10.1176/appi.ajp.2018.17111194
5 Kandola A , Ashdown-franks G , Stubbs B , et al. The association between cardiorespiratory fitness and the incidence of common mental health disorders: A systematic review and meta-analysis[J]. J Affect Disord, 2019, 257, 748- 757.
doi: 10.1016/j.jad.2019.07.088
6 Clemes SA , Oconnell SE , Edwardson CL . Office workers' objectively measured sedentary behavior and physical activity during and outside working hours[J]. J Occup Environ Med, 2014, 56 (3): 298- 303.
doi: 10.1097/JOM.0000000000000101
7 Kroenke K , Spitzer RL , Williams JB , et al. Anxiety disorders in primary care: Prevalence, impairment, comorbidity, and detection[J]. Ann Intern Med, 2007, 146 (5): 317- 325.
doi: 10.7326/0003-4819-146-5-200703060-00004
8 Sedentary Behaviour Research Network . Standardized use of the terms "sedentary" and "sedentary behaviours"[J]. Appl Physiol Nutr Metab, 2012, 37 (3): 540- 542.
doi: 10.1139/h2012-024
9 Bartholomew LK , Markham CM , Ruiter RAC , et al. Planning health promotion programs: An intervention mapping approach[M]. San Francisco: Jossey-Bass, 2016.
10 吕燕宇, 姜红如, 张兵, 等. 中国四省18~60岁职业人群抑郁情绪现状及其影响因素[J]. 环境与职业医学, 2020, 37 (5): 427- 432.
11 Richardson S , Mcneill A , Brose LS . Smoking and quitting beha-viours by mental health conditions in Great Britain (1993-2014)[J]. Addict Behav, 2019, 90, 14- 19.
doi: 10.1016/j.addbeh.2018.10.011
12 姜学文, 鞠巍, 常春. 职业人群焦虑和抑郁状况与工作环境的通径分析[J]. 中国心理卫生杂志, 2019, 33 (5): 375- 380.
doi: 10.3969/j.issn.1000-6729.2019.05.012
13 Patterson R , Mcnamara E , Tainio M , et al. Sedentary behaviour and risk of all-cause, cardiovascular and cancer mortality, and incident type 2 diabetes: A systematic review and dose response meta-analysis[J]. Eur J Epidemiol, 2018, 33 (9): 811- 829.
doi: 10.1007/s10654-018-0380-1
14 Park JH , Moon JH , Kim HJ , et al. Sedentary lifestyle: Overview of updated evidence of potential health risks[J]. Korean J Fam Med, 2020, 41 (6): 365- 373.
doi: 10.4082/kjfm.20.0165
15 艾磊, 罗维, 鹿琦, 等. 不同体型成年人在平躺、久坐、睡眠和运动状态下代谢当量与能耗的比较研究[J]. 成都体育学院学报, 2021, 47 (3): 106- 112.
16 Zhai L , Zhang Y , Zhang D . Sedentary behaviour and the risk of depression: A meta-analysis[J]. Br J Sports Med, 2015, 49 (11): 705- 709.
doi: 10.1136/bjsports-2014-093613
17 Kraut R , Patterson M , Lundmark V , et al. Internet paradox: A social technology that reduces social involvement and psychological well-being?[J]. Am Psychol, 1998, 53 (9): 1017- 1031.
doi: 10.1037/0003-066X.53.9.1017
18 Spittaels H , Cauwenberghe EV , Verbestel V , et al. Objectively measured sedentary time and physical activity time across the lifespan: A cross-sectional study in four age groups[J]. Int J Behav Nutr Phys Act, 2012, 9, 149.
doi: 10.1186/1479-5868-9-149
19 Colley RC , Garriguet D , Janssen I , et al. The association between accelerometer-measured patterns of sedentary time and health risk in children and youth: Results from the Canadian Health Measures Survey[J]. BMC Public Health, 2013, 13, 200.
doi: 10.1186/1471-2458-13-200
20 Stamatakis E , Gale J , Bauman A , et al. Sitting time, physical activity, and risk of mortality in adults[J]. J Am Coll Cardiol, 2019, 73 (16): 2062- 2072.
doi: 10.1016/j.jacc.2019.02.031
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