Correlation analysis between occupational stress and metabolic syndrome in workers of a petrochemical enterprise: based on two assessment models of occupational stress.

Effort-reward imbalance Job demand-control Metabolic syndrome Occupational stress Petrochemical enterprise

Journal

BMC public health
ISSN: 1471-2458
Titre abrégé: BMC Public Health
Pays: England
ID NLM: 100968562

Informations de publication

Date de publication:
14 Mar 2024
Historique:
received: 11 12 2023
accepted: 07 03 2024
medline: 18 3 2024
pubmed: 15 3 2024
entrez: 15 3 2024
Statut: epublish

Résumé

Occupational stress is becoming a common phenomenon around the world. Being in a high occupational stress state for a long time may destroy the metabolic balance of the body, thereby increasing the risk of metabolic diseases. There is limited evidence regarding the correlation between occupational stress and metabolic syndrome (MetS), particularly in the petrochemical workers. A total of 1683 workers of a petrochemical enterprise in China were included in the survey by cluster sampling method. The occupational stress assessment was carried out by the Job Content Questionnaire and the Effort-Reward Imbalance Questionnaire, and the general demographic characteristics, work characteristics, occupational hazards, lifestyle and health examination data of the participants were collected. Logistic regression and multiple linear regression were used to analyze the correlations and influencing factors between occupational stress and its dimensions with MetS and its components. A total of 1683 questionnaires were sent out, and 1608 were effectively collected, with an effective recovery rate of 95.54%. The detection rates of occupational stress in Job Demand-Control (JDC) and Effort-Reward Imbalance (ERI) models were 28.4% and 27.2%, respectively. In this study, 257 participants (16.0%) were diagnosed with MetS. Compared with the non-MetS group, body mass index (BMI), waist circumference (WC), systolic blood pressure (SBP), diastolic blood pressure (DBP), triglycerides (TG) and fasting blood-glucose (FBG) levels were significantly higher in the MetS group, and high density lipoprotein-cholesterol (HDL-C) levels were significantly lower (P < 0.001). The results of multiple linear regression showed that after adjusting for nation, marital status, education, work system, smoking and drinking, and further adjusting for occupational hazards, the D/C ratio was significantly negatively correlated with SBP in the JDC model. Social support was negatively correlated with WC. In the ERI model, there was a significant positive correlation between over-commitment and FBG. The detection rates of occupational stress and MetS were high in workers of a petrochemical enterprise. In the JDC model, occupational stress was negatively correlated with SBP, and social support was negatively correlated with WC. In the ERI model, there was a significantly positive correlation between over-commitment and FBG.

Sections du résumé

BACKGROUND BACKGROUND
Occupational stress is becoming a common phenomenon around the world. Being in a high occupational stress state for a long time may destroy the metabolic balance of the body, thereby increasing the risk of metabolic diseases. There is limited evidence regarding the correlation between occupational stress and metabolic syndrome (MetS), particularly in the petrochemical workers.
METHODS METHODS
A total of 1683 workers of a petrochemical enterprise in China were included in the survey by cluster sampling method. The occupational stress assessment was carried out by the Job Content Questionnaire and the Effort-Reward Imbalance Questionnaire, and the general demographic characteristics, work characteristics, occupational hazards, lifestyle and health examination data of the participants were collected. Logistic regression and multiple linear regression were used to analyze the correlations and influencing factors between occupational stress and its dimensions with MetS and its components.
RESULTS RESULTS
A total of 1683 questionnaires were sent out, and 1608 were effectively collected, with an effective recovery rate of 95.54%. The detection rates of occupational stress in Job Demand-Control (JDC) and Effort-Reward Imbalance (ERI) models were 28.4% and 27.2%, respectively. In this study, 257 participants (16.0%) were diagnosed with MetS. Compared with the non-MetS group, body mass index (BMI), waist circumference (WC), systolic blood pressure (SBP), diastolic blood pressure (DBP), triglycerides (TG) and fasting blood-glucose (FBG) levels were significantly higher in the MetS group, and high density lipoprotein-cholesterol (HDL-C) levels were significantly lower (P < 0.001). The results of multiple linear regression showed that after adjusting for nation, marital status, education, work system, smoking and drinking, and further adjusting for occupational hazards, the D/C ratio was significantly negatively correlated with SBP in the JDC model. Social support was negatively correlated with WC. In the ERI model, there was a significant positive correlation between over-commitment and FBG.
CONCLUSIONS CONCLUSIONS
The detection rates of occupational stress and MetS were high in workers of a petrochemical enterprise. In the JDC model, occupational stress was negatively correlated with SBP, and social support was negatively correlated with WC. In the ERI model, there was a significantly positive correlation between over-commitment and FBG.

Identifiants

pubmed: 38486274
doi: 10.1186/s12889-024-18305-3
pii: 10.1186/s12889-024-18305-3
pmc: PMC10938751
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

802

Subventions

Organisme : the Guangzhou Science and Technology Plan Project
ID : 202102080135
Organisme : the Medical Scientific Research Foundation of Guangdong Province
ID : A2019246, A2021209

Informations de copyright

© 2024. The Author(s).

Références

Clin Dermatol. 2018 Jan - Feb;36(1):14-20
pubmed: 29241747
J Clin Nurs. 2020 Sep;29(17-18):3363-3372
pubmed: 32614106
Ther Adv Cardiovasc Dis. 2017 Aug;11(8):215-225
pubmed: 28639538
Home Health Care Serv Q. 2017 Apr-Jun;36(2):96-111
pubmed: 28535108
Work. 2023;74(2):733-742
pubmed: 36245348
J Community Psychol. 2020 Sep;48(7):2252-2263
pubmed: 32841385
Am J Public Health. 1988 Oct;78(10):1336-42
pubmed: 3421392
Curr Diabetes Rev. 2020;16(6):546-556
pubmed: 31713487
Arch Environ Occup Health. 2021;76(5):266-274
pubmed: 33000694
PLoS Med. 2020 Oct 30;17(10):e1003351
pubmed: 33125374
Nat Rev Endocrinol. 2020 Dec;16(12):731-739
pubmed: 33106657
Front Public Health. 2022 Nov 17;10:945902
pubmed: 36466474
Sci Rep. 2020 Oct 19;10(1):17630
pubmed: 33077773
Ethn Health. 2020 Nov;25(8):1103-1114
pubmed: 29944431
Int J Epidemiol. 2023 Oct 5;52(5):1579-1591
pubmed: 37295953
J Affect Disord. 2022 Jan 15;297:76-82
pubmed: 34634320
PLoS One. 2015 Dec 07;10(12):e0144318
pubmed: 26641879
Int Arch Occup Environ Health. 2004 Aug;77(6):409-17
pubmed: 15316792
Heliyon. 2021 Sep 27;7(9):e08082
pubmed: 34632148
Am J Ind Med. 2018 Nov;61(11):911-918
pubmed: 30255944
Nutr Metab (Lond). 2015 Feb 28;12:5
pubmed: 25745507
Int J Environ Res Public Health. 2020 May 21;17(10):
pubmed: 32455763
Occup Med (Lond). 2018 Dec 26;68(9):572-579
pubmed: 30265338
Public Health Nutr. 2021 Feb;24(2):260-266
pubmed: 33100264
Eur J Pharmacol. 2018 Jan 5;818:554-568
pubmed: 29162432
Saf Health Work. 2023 Sep;14(3):279-286
pubmed: 37822462
Nature. 2006 Dec 14;444(7121):881-7
pubmed: 17167477
Int J Environ Res Public Health. 2022 Dec 16;19(24):
pubmed: 36554810
J Occup Health Psychol. 1996 Jan;1(1):27-41
pubmed: 9547031
J Diabetes Metab Disord. 2021 Feb 01;20(1):321-327
pubmed: 34178840
Stress Health. 2020 Dec;36(5):675-685
pubmed: 32314860
PLoS Med. 2019 Jun 25;16(6):e1002834
pubmed: 31237869
Work. 2019;62(2):309-317
pubmed: 30829641
BMJ. 2010 Dec 08;341:c7065
pubmed: 21147750
Workplace Health Saf. 2021 Dec;69(12):556-563
pubmed: 34425720
Front Public Health. 2021 Jun 15;9:664013
pubmed: 34211952
Eur Heart J. 2021 Jun 1;42(21):2072-2084
pubmed: 33733673
BMC Public Health. 2019 Jul 29;19(1):1009
pubmed: 31357973
Dis Model Mech. 2009 May-Jun;2(5-6):231-7
pubmed: 19407331
BMC Public Health. 2019 Apr 30;19(1):458
pubmed: 31039783
Am J Hum Biol. 2019 Nov;31(6):e23296
pubmed: 31332861
Nutrients. 2020 Nov 14;12(11):
pubmed: 33202550
J Trace Elem Med Biol. 2019 Jul;54:183-190
pubmed: 31109610
J Behav Med. 2015 Jun;38(3):497-506
pubmed: 25677374
Int J Endocrinol Metab. 2014 Oct 01;12(4):e18980
pubmed: 25745487
Tuberk Toraks. 2018 Jun;66(2):101-108
pubmed: 30246652
Radiol Med. 2014 Feb;119(2):142-8
pubmed: 24297580
Curr Cardiol Rep. 2021 Oct 19;23(12):180
pubmed: 34668083
Ann Ist Super Sanita. 2016 Jul-Sep;52(3):443-456
pubmed: 27698304
Am J Ind Med. 2014 Feb;57(2):214-21
pubmed: 24166790
Postgrad Med J. 2022 Nov 1;98(1165):848-854
pubmed: 37063035
Work. 2022;71(4):1175-1182
pubmed: 35275587
Obes Rev. 2018 Nov;19(11):1557-1568
pubmed: 30047228
Arterioscler Thromb Vasc Biol. 2008 Apr;28(4):629-36
pubmed: 18174459
BMC Public Health. 2003 Feb 27;3:10
pubmed: 12636876
BMC Public Health. 2021 Jul 6;21(1):1327
pubmed: 34229637
Tob Induc Dis. 2023 May 18;21:61
pubmed: 37215190
J Nurs Scholarsh. 2021 Jul;53(4):511-518
pubmed: 33646610
Public Health Nutr. 2021 Dec;24(18):6103-6112
pubmed: 34462039
J Occup Environ Med. 2021 Jan 1;63(1):e13-e20
pubmed: 33149005
Environ Int. 2020 Jan;134:105269
pubmed: 31778933
Medicine (Baltimore). 2018 Aug;97(31):e11543
pubmed: 30075521
Medicine (Baltimore). 2022 Jan 21;101(3):e28562
pubmed: 35060515
J Am Soc Hypertens. 2012 Jan-Feb;6(1):2-22
pubmed: 22024667
Diabetes Metab Syndr. 2019 Nov - Dec;13(6):3085-3089
pubmed: 31765983
JAMA. 2022 Feb 08;327(6):566-577
pubmed: 35133411
Work. 2021;70(1):53-62
pubmed: 34511476
Neurosci Biobehav Rev. 2017 Dec;83:252-266
pubmed: 29111334

Auteurs

Min Zhang (M)

Guangdong Province Hospital for Occupational Disease Prevention and Treatment, 510300, Guangzhou, Guangdong, China.
School of Public Health, Shanxi Medical University, 030001, Taiyuan, Shanxi, China.

Bin Liu (B)

Shenzhen Luohu People's Hospital, 518000, Shenzhen, Guangdong, China.

Weiyi Ke (W)

Guangdong Province Hospital for Occupational Disease Prevention and Treatment, 510300, Guangzhou, Guangdong, China.

Yashi Cai (Y)

Guangdong Province Hospital for Occupational Disease Prevention and Treatment, 510300, Guangzhou, Guangdong, China.

Lingyu Zhang (L)

Guangdong Province Hospital for Occupational Disease Prevention and Treatment, 510300, Guangzhou, Guangdong, China.

Weixu Huang (W)

Guangdong Province Hospital for Occupational Disease Prevention and Treatment, 510300, Guangzhou, Guangdong, China.

Xuehua Yan (X)

Guangdong Province Hospital for Occupational Disease Prevention and Treatment, 510300, Guangzhou, Guangdong, China. yanxh2004@126.com.

Huifeng Chen (H)

Guangdong Province Hospital for Occupational Disease Prevention and Treatment, 510300, Guangzhou, Guangdong, China. hfchen2001@163.com.
School of Public Health, Shanxi Medical University, 030001, Taiyuan, Shanxi, China. hfchen2001@163.com.

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