95
Views
3
CrossRef citations to date
0
Altmetric
Original Research

Secular Trends in Self-Assessed Health Over 24 Years Among 38-, 50-, 70- and 75-Year-Old Women: Observations from the Prospective Population Study of Women in Gothenburg

&
Pages 261-270 | Published online: 03 Jun 2020

References

  • WHO Statistic [Internet]. 2019 Available from: https://www.who.int/gho/publications/world_health_statistics/2019/en/. Accessed 512, 2020.
  • Elofsson S, Unden AL, Krakau I. [Women’s health deteriorated since 1993]. Lakartidningen. 1996;93(38):3233–3236. Swedish.8926783
  • Hosseinpoor AR, Stewart Williams J, Amin A, et al. Social determinants of self-reported health in women and men: understanding the role of gender in population health. PLoS One. 2012;7(4):e34799. doi:10.1371/journal.pone.003479922514667
  • Boerma T, Hosseinpoor AR, Verdes E, Chatterji S. A global assessment of the gender gap in self-reported health with survey data from 59 countries. BMC Public Health. 2016;16:675. doi:10.1186/s12889-016-3352-y27475755
  • Gallicchio L, Hoffman SC, Helzlsouer KJ. The relationship between gender, social support, and health-related quality of life in a community-based study in Washington County, Maryland. Qual Life Res. 2007;16(5):777–786. doi:10.1007/s11136-006-9162-417286195
  • Statistiska centralbyrån. Var fjärde i Sverige är högutbildad. Stockholm: Statistiska centralbyrån (SCB); 2016 Available from: https://www.scb.se/hitta-statistik/sverige-i-siffror/utbildning-jobb-och-pengar/befolkningens-utbildning/#fordjupning. Accessed 512, 2020.
  • Folkhälsomyndigheten. Folkhälsans utveckling årsrapport 2017 [Internet]. Stockholm: Folkhälsomyndigheten; 2017.
  • Försäkringskassan. Sjukfrånvarons utveckling 2016 [Internet]. Stockholm: Försäkringskassan; 2016.
  • Hakansson C, Lissner L, Bjorkelund C, Sonn U. Engagement in patterns of daily occupations and perceived health among women of working age. Scand J Occup Ther. 2009;16(2):110–117. doi:10.1080/1103812080257249419005998
  • Eriksson HG, von Celsing AS, Wahlstrom R, Janson L, Zander V, Wallman T. Sickness absence and self-reported health a population-based study of 43,600 individuals in central Sweden. BMC Public Health. 2008;8:426. doi:10.1186/1471-2458-8-42619116000
  • Bengtsson C, Blohme G, Hallberg L, et al. The study of women in Gothenburg 1968-1969–a population study. General design, purpose and sampling results. Acta Med Scand. 1973;193(4):311–318. doi:10.1111/j.0954-6820.1973.tb10583.x4717311
  • Bengtsson C, Hallberg L, Hallstrom T, et al. The population study of women in Goteborg 1974–1975–the second phase of a longitudinal study. General design, purpose and sampling results. Scand J Soc Med. 1978;6(2):49–54. doi:10.1177/140349487800600201675187
  • Bengtsson C, Gredmark T, Hallberg L, et al. The population study of women in Gothenburg 1980-81–the third phase of a longitudinal study. Comparison between participants and non-participants. Scand J Soc Med. 1989;17(2):141–145.2749200
  • Bengtsson C, Ahlqwist M, Andersson K, Bjorkelund C, Lissner L, Soderstrom M. The prospective population study of women in Gothenburg, Sweden, 1968-69 to 1992-93. A 24-year follow-up study with special reference to participation, representativeness, and mortality. Scand J Prim Health Care. 1997;15(4):214–219. doi:10.3109/028134397090350319444727
  • Van Hook MP, Berkman B, Dunkle R. Assessment tools for general health care settings: PRIME-MD, OARS, and SF-36. primary care evaluation of mental health disorders. Older Americans resources and services questionnaire; short form-36. Health Soc Work. 1996;21(3):230–234. doi:10.1093/hsw/21.3.2308854128
  • Busija L, Pausenberger E, Haines TP, Haymes S, Buchbinder R, Osborne RH. 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). Arthritis Care Res (Hoboken). 2011;63(Suppl 11):S383–412. doi:10.1002/acr.2054122588759
  • McHorney CA, Ware JE Jr., Lu JF, Sherbourne CD. The MOS 36-item Short-Form Health Survey (SF-36): III. Tests of data quality, scaling assumptions, and reliability across diverse patient groups. Med Care. 1994;32(1):40–66. doi:10.1097/00005650-199401000-000048277801
  • Sullivan M, Karlsson J, Ware JE Jr. The Swedish SF-36 Health Survey–I. Evaluation of data quality, scaling assumptions, reliability and construct validity across general populations in Sweden. Soc Sci Med. 1995;41(10):1349–1358. doi:10.1016/0277-9536(95)00125-Q8560302
  • Persson LO, Karlsson J, Bengtsson C, Steen B, Sullivan M. The Swedish SF-36 Health Survey II. Evaluation of clinical validity: results from population studies of elderly and women in Gothenborg. J Clin Epidemiol. 1998;51(11):1095–1103. doi:10.1016/S0895-4356(98)00101-29817127
  • Sullivan M, Karlsson J. The Swedish SF-36 Health Survey III. Evaluation of criterion-based validity: results from normative population. J Clin Epidemiol. 1998;51(11):1105–1113.9817128
  • Ware JE Jr. SF-36 Health Survey Manual and Interpretation Guide. 1993.
  • Taft C, Karlsson J, Sullivan M. Do SF-36 summary component scores accurately summarize subscale scores? Qual Life Res. 2001;10(5):395–404. doi:10.1023/A:101255221199611763202
  • Carlsson G. Socialgruppering: Social Mobility and Class Structure. Lund, Sweden: University of Lund, GWK Gleerup; 1958.
  • Sweden S Swedish Socioeconomic Classification. 1982.
  • Griep RH, Toivanen S, van Diepen C, et al. Work-family conflict and self-rated health: the role of gender and educational level. Baseline Data from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Int J Behav Med. 2016;23(3):372–382.26597924
  • Waller M, Lissner L, Hange D, Sund V, Blomstrand A, Bjorkelund C. Socioeconomic disparities in physical activity among Swedish women and trends over time - the population study of women in Gothenburg. Scand J Prim Health Care. 2018;1–9.29334824
  • Waller Lidstrom M, Wennberg P, Lundqvist R, Forssen A, Waller G. Time trends of comparative self-rated health in adults aged 25-34 in the Northern Sweden MONICA study, 1990-2014. PLoS One. 2017;12(11):e0187896. doi:10.1371/journal.pone.018789629155858
  • Hange D, Mehlig K, Lissner L, et al. Perceived mental stress in women associated with psychosomatic symptoms, but not mortality: observations from the Population Study of Women in Gothenburg, Sweden. Int J Gen Med. 2013;6:307–315. doi:10.2147/IJGM.S4220123650451
  • Bjorkelund C, Andersson-Hange D, Andersson K, et al. Secular trends in cardiovascular risk factors with a 36-year perspective: observations from 38- and 50-year-olds in the Population Study of Women in Gothenburg. Scand J Prim Health Care. 2008;26(3):140–146. doi:10.1080/0281343080208840318609256
  • Ulrik Lidwall CO-B. Sjukskrivning för reaktioner på svår stress ökar mest [Internet]. Stockholm: Försäkringskassan; 2016.
  • Försäkringskassan. Sjukfrånvarons utveckling 2017 sjuk- och rehabiliteringspenning [Internet]. Stockholm: Försäkringskassan; 2017.
  • Gunnar Ahlborg AH jr, Hadžibajramović E, Pettersson S et al. KART‐studien: arbetsmiljö, stress och hälsa bland anställda vid Västra Götalandsregionen. Sammanfattning av de viktigaste slutsatserna i KART‐rapporterna 2004‐2010, vetenskapliga publikationer samt vissa kompletterande analyser. [Internet]. Göteborg: Institutet för stressmedicin, Västra Götalandsregionen; 2016.
  • Maria Albin AT. Theo Bodin Arbetsmiljö i kvinnodominerade sektorer, Regeringsuppdrag att genomföra en förstudie inför utlysning av forskningsmedel. Stockholm: FORTE: Forskningsrådet för hälsa, arbetsliv och välfärd; 2015.
  • Garratt AM, Stavem K. Measurement properties and normative data for the Norwegian SF-36: results from a general population survey. Health Qual Life Outcomes. 2017;15(1):51. doi:10.1186/s12955-017-0625-928292292
  • Li L, Wang HM, Shen Y. Chinese SF-36 Health Survey: translation, cultural adaptation, validation, and normalisation. J Epidemiol Community Health. 2003;57(4):259–263. doi:10.1136/jech.57.4.25912646540