Effect of Socioeconomic Factors on the Relationship Between Musculoskeletal Pain and Ill-Health Retirement in Korea: Results From the Korean Longitudinal Study of Aging.
Journal
Journal of occupational and environmental medicine
ISSN: 1536-5948
Titre abrégé: J Occup Environ Med
Pays: United States
ID NLM: 9504688
Informations de publication
Date de publication:
02 2020
02 2020
Historique:
pubmed:
26
11
2019
medline:
7
4
2021
entrez:
26
11
2019
Statut:
ppublish
Résumé
To investigate the relationship between musculoskeletal pain (MSP) and ill-health retirement (IHR) and modifying role of socioeconomic factors. The data used were samples from the Korean Longitudinal Study of Aging from 2006 to 2014. IHR was defined as retirement due to health problems before regular retirement age. Hazard ratio (HR) was calculated using Cox proportional hazards model to determine the effects of MSP and covariance on IHR. People who have "any site of pain" were more likely to experience IHR than people with no pain. In the subgroup analysis, risk of IHR due to MSP was higher in the 60s, white-collar, and high-income earners than the other groups. MSP has a substantial negative impact on labor force participation, and there was a clear effect modification of socioeconomic status on IHR risk.
Identifiants
pubmed: 31764600
doi: 10.1097/JOM.0000000000001786
pii: 00043764-202002000-00014
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e27-e32Références
GBD 2015 Disease and Injury Incidence and Prevalence Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet 2016; 388:1545–1602.
Dagenais S, Caro J, Haldeman S. A systematic review of low back pain cost of illness studies in the United States and internationally. Spine J 2008; 8:8–20.
Briggs AM, Cross MJ, Hoy DG, et al. Musculoskeletal health conditions represent a global threat to healthy aging: a report for the 2015 World Health Organization World Report on Ageing and Health. Gerontologist 2016; 56: (suppl): S243–S255.
Langley P, Müller-Schwefe G, Nicolaou A, Liedgens H, Pergolizzi J, Varrassi G. The impact of pain on labor force participation, absenteeism and presenteeism in the European Union. J Med Econ 2010; 13:662–672.
Bartys S, Fredriksen P, Bendix T, Burton K. System influences on work disability due to low back pain: an international evidence synthesis. Health Policy 2017; 121:903–912.
Werner EL, Cote P. Low back pain and determinants of sickness absence. Eur J Gen Pract 2009; 15:74–79.
Breivik H, Collett B, Ventafridda V, Cohen R, Gallacher D. Survey of chronic pain in Europe: prevalence, impact on daily life, and treatment. Eur J Pain 2006; 10:287–333.
Stewart WF, Ricci JA, Chee E, Morganstein D, Lipton R. Lost productive time and cost due to common pain conditions in the US workforce. JAMA 2003; 290:2443–2454.
Patel AS, Farquharson R, Carroll D, et al. The impact and burden of chronic pain in the workplace: a qualitative systematic review. Pain Pract 2012; 12:578–589.
World Health Organization. The Asia-Pacific Perspective: Redefining Obesity and its Treatment. Sydney: Health Communications Australia; 2000.
Saastamoinen P, Laaksonen M, Kääriä SM, et al. Pain and disability retirement: a prospective cohort study. Pain 2012; 153:526–531.
Haukka E, Kaila-Kangas L, Ojajärvi A, et al. Multisite musculoskeletal pain predicts medically certified disability retirement among Finns. Eur J Pain 2015; 19:1119–1128.
Lindegård A, Larsman P, Hadzibajramovic E, Ahlborg G Jr. The influence of perceived stress and musculoskeletal pain on work performance and work ability in Swedish health care workers. Int Arch Occup Environ Health 2014; 87:373–379.
Lee W, Hong K, Lim SS, Yoon JH. Does pain deteriorate working life expectancy in aging workers? J Occup Health 2016; 58:582–592.
Karpansalo M, Manninen P, Lakka TA, Kauhanen J, Rauramaa R, Salonen JT. Physical workload and risk of early retirement: prospective population-based study among middle-aged men. J Occup Environ Med 2002; 44:930–939.
Lahelma E, Laaksonen M, Lallukka T, et al. Working conditions as risk factors for disability retirement: a longitudinal register linkage study. BMC Public Health 2012; 12:309.
Sejbaek CS, Nexo MA, Borg V. Work-related factors and early retirement intention: a study of the Danish eldercare sector. Eur J Public Health 2013; 23:611–616.
Jebens E, Medbø JI, Knutsen O, Mamen A, Veiersted KB. Association between perceived present working conditions and demands versus attitude to early retirement among construction workers. Work 2014; 48:217–228.
Leinonen T, Martikainen P, Lahelma E. Interrelationships between education, occupational social class, and income as determinants of disability retirement. Scand J Public Health 2012; 40:157–166.
Polvinen A, Gould R, Lahelma E, Martikainen P. Socioeconomic differences in disability retirement in Finland: the contribution of ill-health, health behaviours and working conditions. Scand J Public Health 2013; 41:470–478.
Polvinen A, Laaksonen M, Gould R, Lahelma E, Martikainen P. The contribution of major diagnostic causes to socioeconomic differences in disability retirement. Scand J Work Environ Health 2014; 40:353–360.
Hagen KB, Holte HH, Tambs K, Bjerkedal T. Socioeconomic factors and disability retirement from back pain: a 1983-1993 population-based prospective study in Norway. Spine (Phila Pa 1976) 2000; 25:2480–2487.
de Vries HJ, Reneman MF, Groothoff JW, Geertzen JH, Brouwer S. Self-reported work ability and work performance in workers with chronic nonspecific musculoskeletal pain. J Occup Rehabil 2013; 23:1–10.
OECD. Pensions at a Glance 2017: OECD and G20 Indicators. Paris: OECD Publishing; 2017.
Lee SY, Kim K. Path to poverty of sick workers and fictional Korean social security. Korea Soc Policy Rev 2017; 24:113–150.
Andersson HI, Ejlertsson G, Leden I, Rosenberg C. Chronic pain in a geographically defined general population: studies of differences in age, gender, social class, and pain localization. Clin J Pain 1993; 9:174–182.
Barberger-Gateau P, Chaslerie A, Dartigues JF, Commenges D, Gagnon M, Salamon R. Health measures correlates in a French elderly community population: the PAQUID study. J Gerontol 1992; 47:S88–S95.
Bassols A, Bosch F, Campillo M, Cañellas M, Baños JE. An epidemiological comparison of pain complaints in the general population of Catalonia (Spain). Pain 1999; 83:9–16.
Brattberg G, Thorslund M, Wikman A. The prevalence of pain in a general population. The results of a postal survey in a county of Sweden. Pain 1989; 37:215–222.
Magni G, Marchetti M, Moreschi C, Merskey H, Luchini SR. Chronic musculoskeletal pain and depressive symptoms in the National Health and Nutrition Examination. I. Epidemiologic follow-up study. Pain 1993; 53:163–168.
Anema JR, Schellart AJ, Cassidy JD, Loisel P, Veerman TJ, Van der Beek AJ. Can cross country differences in return-to-work after chronic occupational back pain be explained? An exploratory analysis on disability policies in a six country cohort study. J Occup Rehabil 2009; 19:419–426.