17 april 2026: Bron: PLOS medicine
Op basis van de uitkomsten van een eerder uitgevoerde gerandomiseerde studie onder 11.169 vrouwen zouden vrouwen vanaf de middelbare leeftijd aangemoedigd moeten worden om vanaf hun middelbare leeftijd te voldoen aan de aanbevelingen voor het doen van fysieke activiteiten zoals sporten en bewegen om zo de kans aan overlijden aan alle oorzaken te verminderen. Dat blijkt uit een simulatiestudie gebaseerd op de eerdere resultaten.
Deze Australische simulatiestudie gebruikte de eerder gevonden data om een gerandomiseerde gecontroleerde trial na te bootsen en vergeleek verschillende fysieke activiteitspatronen gedurende 15 jaar in relatie tot de sterfte door alle oorzaken, overlijden aan hart- en vaatziekten (HVZ) en overlijden door kanker bij Australische vrouwen van middelbare leeftijd.
De onderzoekers simuleerden twee interventies, vergeleken met consistente niet-naleving van de aanbevelingen voor matig tot intensieve fysieke activiteit (MVPA) en controle:
1. Consistente naleving van de WHO-aanbevelingen voor matig tot intensieve fysieke activiteit (MVPA) gedurende de gehele studieperiode.
2. Beginnen met het voldoen aan de aanbevelingen op 55 jaar, 60 jaar of 65 jaar.
De onderzoekers evalueerden het effect dat verwacht zou worden als alle deelnemers deze specifieke patronen van fysieke activiteit gedurende de studieperiode zouden volgen. We schatten het effect van het voldoen aan de aanbevelingen voor fysieke activiteit tot het einde van de studieperiode van 15 jaar of tot het moment van overlijden, afhankelijk van wat zich het eerst voordeed. Zie o.a. S1 Text.
Belangrijkste resultaten van de analyses:
- Gedurende de periode waarin de uitkomsten werden bekeken (enquêtes 4 tot 9 keer; leeftijd tussen 53-58 en 68-73 jaar), overleed 5,8% van de oorspronkelijke deelnemende vrouwen aan de steekproef aan alle oorzaken, 1,8% aan hart- en vaatziekten en 1,7% aan kanker.(Zie Table 3).
- De incidentiecijfers van sterfte door alle oorzaken, hart- en vaatziekten en kanker varieerden respectievelijk van 5,3%, 2,1% en 1,7% bij consistente naleving van de aanbevelingen, tot 10,4%, 4,2% en 5,0% bij consistente niet-naleving van de aanbevelingen.(Zie Fig 3).
Het volledige studierapport is gratis in te zien of te downloaden met als belangrijkste conclusie dat bij een vergelijking tussen consistente naleving van de MVPA-aanbevelingen en consistente niet-naleving, bleek er een duidelijk bewijs te zijn voor een beschermend effect op de totale sterfte.
De bevindingen voor hart- en vaatziekten en kankersterfte waren minder eenduidig, evenals de bevindingen met betrekking tot het effect van het beginnen met het voldoen aan de aanbevelingen voor matig tot intensieve fysieke activiteit (MVPA) rond het vijftigste levensjaar op de sterftecijfers.
Maar zie hier het studierapport. Klik op de titel van het abstract:
Abstract
Background
Long-term causal evidence comparing different physical activity patterns and mortality outcomes is needed. Using observational data to emulate an RCT, this study compared different physical activity patterns over 15 years in relation to mortality from all causes, cardiovascular disease (CVD) and cancer in mid-aged Australian women.
Methods and findings
A target trial emulation framework was used to emulate an RCT, based on data collected every 3 years (nine surveys between 1996 and 2019) from 11,169 women in the Australian Longitudinal Study on Women’s Health (ALSWH; 1946−51 cohort). Two emulated interventions were compared against consistent non-adherence (control) to WHO moderate-to-vigorous physical activity (MVPA) recommendations during the 15-year ‘exposure period’: (1) consistent adherence to recommendations (at least 150 min/week) over 15 years (2001−2016; women were 50−55–65−70 years); and (2) starting to meet the recommendations at age 55, 60, or 65 years. Analyses were adjusted for sociodemographic and health variables using marginal structural models with the assumptions of conditional exchangeability, positivity, consistency, and no interference. Mortality outcomes that occurred between surveys 4−9 (women were 53−58 to 68−73 years), were ascertained from Australian death registries. Comparing consistent adherence to MVPA recommendations with consistent non-adherence, there was evidence (Bayes factor = 5.71) for a protective effect for all-cause mortality (risk ratio : 0.50, 99.5% CI [0.27, 0.94]; risk difference : −5.2%, 99.5% CI [−10.5%, 0.1%]). Findings for CVD (BF = 2.05; RR: 0.50, 99.5% CI [0.19, 1.30]; RD: −2.1%, 99.5% CI [−5.3%, 1.1%]) and cancer mortality (BF = 2.26; RR: 0.35, 99.5% CI [0.10, 1.17]; RD: −3.3%, 99.5% CI [−8.4%, 1.9%]) were more uncertain and less conclusive, as were those for an effect of starting to meet MVPA recommendations in the mid-fifties on mortality outcomes. The main study limitations included reliance of self-reported physical activity and that findings may not be generalisable to all mid-aged Australian women.
Author summary
Why was this study done?
- The evidence for an association between physical activity and mortality outcomes has generally been based on epidemiological studies relying on a single measurement of physical activity and not examining causal effects.
- Studies that examine the effect of longer-term patterns of physical activity on mortality outcomes are needed.
What did the researchers do and find?
- Using a causal inference framework to imitate a randomised controlled trial based on observational data, this study offers long-term evidence comparing different physical activity patterns during mid-life in relation to all-cause, cardiovascular disease and cancer mortality in a cohort of Australian women.
- In this emulated target trial (n = 11,169), consistently meeting the World Health Organization’s recommendations of moderate-to-vigorous physical activity over 15 years was protective for all-cause mortality compared to consistent non-adherence to recommendations. Findings were uncertain and not conclusive for cardiovascular disease and cancer mortality, possibly due to insufficient statistical power from the smaller number of observed deaths from cardiovascular disease and cancer.
- Findings were also more uncertain and inconclusive for whether starting to meet guidelines earlier in mid-life (e.g., by the mid-fifties) resulted in lower risks of all-cause, cardiovascular disease and cancer mortality by the end of the study.
What do these findings mean?
- Staying physically active at recommended levels throughout midlife provides protective benefits against premature mortality in women.
- This study supports the growing evidence that maintaining an active lifestyle in midlife provides health benefits.
- Limitations of the study included the use of self-reported physical activity, and findings may not apply to all mid-aged Australian women.
Citation: Nguyen B, Owen KB, Luo M, Brown W, Mielke GI, Clare PJ, et al. (2026) Physical activity across mid-life and mortality outcomes in Australian women: A target trial emulation using a prospective cohort. PLoS Med 23(3): e1004976. https://doi.org/10.1371/journal.pmed.1004976
Academic Editor: Peter WG Tennant, University of Leeds, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
Received: June 17, 2025; Accepted: February 19, 2026; Published: March 26, 2026
Copyright: © 2026 Nguyen et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: The data underlying this study are owned by the Australian Government Department of Health (ALSWH). The process for data access is documented on the Australian Longitudinal Study on Women’s Health website [http://www.alswh.org.au] which includes all the survey questionnaires, data books of frequency tables for all surveys, meta-data, conditions of data access and request form. The code used for analysis is available online (https://www.philipclare.com/code/alswh).
Funding: The Australian Longitudinal Study on Women’s Health is funded by the Australian Government Department of Health. GIM is supported by a National Health and Medical Research Council Investigator Grant (APP2008702). DD is funded by an Emerging Leader Fellowship from the National Health and Medical Research Council (APP2009254) and an Early-Mid Career Researcher Grant under the New South Wales Cardiovascular Research Capacity Program. URLs: https://www.nhmrc.gov.au and https://www.medicalresearch.nsw.gov.au. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Acknowledgments
The research on which this paper is based was conducted as part of the Australian Longitudinal Study on Women’s Health by the University of Queensland and the University of Newcastle. We are grateful to the Australian Government Department of Health and Age Care for funding and to the women who provided the survey data. This research includes computations using the computational cluster Katana supported by Research Technology Services at UNSW Sydney.
References
- 1.Lear SA, Hu W, Rangarajan S, Gasevic D, Leong D, Iqbal R, et al. The effect of physical activity on mortality and cardiovascular disease in 130 000 people from 17 high-income, middle-income, and low-income countries: the PURE study. Lancet. 2017;390(10113):2643–54. pmid:28943267
- 2.World Health Organization. WHO guidelines on physical activity and sedentary behaviour. Geneva: World Health Organization; 2020.
- 3.U.S. Department of Health and Human Services. Physical activity guidelines for Americans, 2nd ed. Washington, DC: U.S. Department of Health and Human Services; 2018.
- 4.Moore SC, Lee I-M, Weiderpass E, Campbell PT, Sampson JN, Kitahara CM, et al. Association of leisure-time physical activity with risk of 26 types of cancer in 1.44 million adults. JAMA Intern Med. 2016;176(6):816–25. pmid:27183032
- 5.Bauman AE, Grunseit AC, Rangul V, Heitmann BL. Physical activity, obesity and mortality: does pattern of physical activity have stronger epidemiological associations?. BMC Public Health. 2017;17(1):788. pmid:28982371
- 6.Brown WJ, Heesch KC, Miller YD. Life events and changing physical activity patterns in women at different life stages. Ann Behav Med. 2009;37(3):294–305. pmid:19506989
- 7.Nguyen B, Clare P, Mielke GI, Brown WJ, Ding D. Physical activity across midlife and health-related quality of life in Australian women: a target trial emulation using a longitudinal cohort. PLoS Med. 2024;21(5):e1004384. pmid:38696367
- 8.Saint-Maurice PF, Coughlan D, Kelly SP, Keadle SK, Cook MB, Carlson SA, et al. Association of leisure-time physical activity across the adult life course with all-cause and cause-specific mortality. JAMA Netw Open. 2019;2(3):e190355. pmid:30848809
- 9.Mok A, Khaw K-T, Luben R, Wareham N, Brage S. Physical activity trajectories and mortality: population based cohort study. BMJ. 2019;365:l2323. pmid:31243014
- 10.Aggio D, Papachristou E, Papacosta O, Lennon LT, Ash S, Whincup P, et al. Trajectories of physical activity from midlife to old age and associations with subsequent cardiovascular disease and all-cause mortality. J Epidemiol Community Health. 2020;74(2):130–6. pmid:31704805
- 11.Clare PJ, Dobbins TA, Mattick RP. Causal models adjusting for time-varying confounding-a systematic review of the literature. Int J Epidemiol. 2019;48(1):254–65. pmid:30358847
- 12.Hernán MA, Robins JM. Causal Inference: What If. Boca Raton: Chapman & Hall/CRC. 2020.
- 13.Ding D, Ekelund U. From London buses to activity trackers: a reflection of 70 years of physical activity research. J Sport Health Sci. 2024;13(6):736–8. pmid:38851584
- 14.Ballin M, Nordström P. Does exercise prevent major non-communicable diseases and premature mortality? A critical review based on results from randomized controlled trials. J Intern Med. 2021;290(6):1112–29. pmid:34242442
- 15.Dahabreh IJ, Bibbins-Domingo K. Causal inference about the effects of interventions from observational studies in medical journals. JAMA. 2024;331(21):1845–53.
- 16.Robins JM, Hernán MA, Brumback B. Marginal structural models and causal inference in epidemiology. Epidemiology. 2000;11(5):550–60. pmid:10955408
- 17.van der Laan MJ, Gruber S.` Targeted minimum loss based estimation of causal effects of multiple time point interventions. Int J Biostat. 2012;8(1).
- 18.Hernán MA, Wang W, Leaf DE. Target trial emulation: a framework for causal inference from observational data. JAMA. 2022;328(24):2446–7. pmid:36508210
- 19.Cribb L, Moreno-Betancur M, Wu Z, Wolfe R, Pasé M, Ryan J. Moving beyond the prevalent exposure design for causal inference in dementia research. Lancet Healthy Longev. 2025;6(2):100675. pmid:39894022
- 20.Ding D, Tarp J, Giovannucci E, Clare P. Causal inference in physical activity epidemiology research: an opportunity for better evidence. Br J Sports Med.
- 21.Brown WJ, Bryson L, Byles JE, Dobson AJ, Lee C, Mishra G, et al. Women’s Health Australia: recruitment for a national longitudinal cohort study. Women Health. 1998;28(1):23–40. pmid:10022055
- 22.Dobson AJ, Hockey R, Brown WJ, Byles JE, Loxton DJ, McLaughlin D. Cohort profile update: Australian Longitudinal Study on Women’s Health. Int J Epidemiol. 2015;44(5):1547,1547a-1547f.
- 23.Ware JE Jr, Sherbourne CD. The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care. 1992;30(6):473–83. pmid:1593914
- 24.Cashin AG, Hansford HJ, Hernán MA, Swanson SA, Lee H, Jones MD. Transparent reporting of observational studies emulating a target trial-the TARGET statement. JAMA. 2025;334(12):1084–93.
- 25.Physical Activity Guidelines Advisory Committee. Physical activity guidelines advisory committee scientific report. Washington, DC: U.S. Department of Health and Human Services; 2018.
- 26.Ding D, Van Buskirk J, Nguyen B, Stamatakis E, Elbarbary M, Veronese N. Physical activity, diet quality and all-cause cardiovascular disease and cancer mortality: a prospective study of 346 627 UK Biobank participants. Br J Sports Med. 2022.
- 27.Brown WJ, Burton NW, Marshall AL, Miller YD. Reliability and validity of a modified self-administered version of the Active Australia physical activity survey in a sample of mid-age women. Aust N Z J Public Health. 2008;32(6):535–41. pmid:19076744
- 28.Brown WJ, Trost SG, Bauman A, Mummery K, Owen N. Test-retest reliability of four physical activity measures used in population surveys. J Sci Med Sport. 2004;7(2):205–15. pmid:15362316
- 29.Australian Institute of Health and Welfare. The Active Australia Survey: a guide and manual for implementation, analysis and reporting. Canberra: AIHW; 2003.
- 30.Pearl J. Causal diagrams for empirical research. Biometrika. 1995;82(4):702–10.
- 31.Australian Bureau of Statistics. Technical Paper: Socio-Economic Indexes for Areas (SEIFA). 2016.
- 32.Australian Bureau of Statistics. The Australian statistical geography standard (ASGS) remoteness structure. Canberra: Australian Bureau of Statistics; 2018.
- 33.Australian Government National Health and Medical Research Council. Australian guidelines to reduce health risks from drinking alcohol. 2020. Available from: https://www.nhmrc.gov.au/file/15923/download?token=t0Hrxdvq
- 34.Radloff LS. The CES-D scale: a self-report depression scale for research in the general population. App Psychol Meas. 1977;1(3):385–401.
- 35.Bell S, Lee C. Development of the perceived stress questionnaire for young women. Psychol Health Med. 2002;7(2):189–201.
- 36.Moreno-Betancur M, Lynch JW, Pilkington RM, Schuch HS, Gialamas A, Sawyer MG. Emulating a target trial of intensive nurse home visiting in the policy-relevant population using linked administrative data. Int J Epidemiol. 2023;52(1):119–31.
- 37.van der Laan MJ, Rubin DB. Targeted maximum likelihood learning. Int J Biostat. 2006;2(1).
- 38.Greenland S, Pearl J, Robins JM. Causal diagrams for epidemiologic research. Epidemiology. 1999;10(1):37–48. pmid:9888278
- 39.Petersen ML, Porter KE, Gruber S, Wang Y, van der Laan MJ. Diagnosing and responding to violations in the positivity assumption. Stat Methods Med Res. 2012;21(1):31–54. pmid:21030422
- 40.Cole SR, Frangakis CE. The consistency statement in causal inference: a definition or an assumption?. Epidemiology. 2009;20(1):3–5. pmid:19234395
- 41.Liu L, Hudgens MG, Becker-Dreps S. On inverse probability-weighted estimators in the presence of interference. Biometrika. 2016;103(4):829–42. pmid:29422692
- 42.Lounassalo I, Salin K, Kankaanpää A, Hirvensalo M, Palomäki S, Tolvanen A, et al. Distinct trajectories of physical activity and related factors during the life course in the general population: a systematic review. BMC Public Health. 2019;19(1):271. pmid:30841921
- 43.Daskalopoulou C, Stubbs B, Kralj C, Koukounari A, Prince M, Prina AM. Physical activity and healthy ageing: a systematic review and meta-analysis of longitudinal cohort studies. Ageing Res Rev. 2017;38:6–17. pmid:28648951
- 44.Porter KE. The relative performance of targeted maximum likelihood estimators under violations of the positivity assumption. UC Berkeley; 2011.
- 45.Lendle SD, Schwab J, Petersen ML, van der Laan MJ. ltmle: an R package implementing targeted minimum loss-based estimation for longitudinal data. J Stat Softw. 2017;81(1):1–21.
- 46.Benjamin DJ, Berger JO, Johannesson M, Nosek BA, Wagenmakers E-J, Berk R, et al. Redefine statistical significance. Nat Hum Behav. 2018;2(1):6–10. pmid:30980045
- 47.Dienes Z. Using Bayes to get the most out of non-significant results. Front Psychol. 2014;5:781. pmid:25120503
- 48.Andraszewicz S, Scheibehenne B, Rieskamp J, Grasman R, Verhagen J, Wagenmakers EJ. An introduction to Bayesian hypothesis testing for management research. J Manage. 2014;41(2):521–43.
- 49.VanderWeele TJ, Ding P. Sensitivity Analysis in Observational Research: Introducing the E-Value. Ann Intern Med. 2017;167(4):268–74. pmid:28693043
- 50.Stensvold D, Viken H, Steinshamn SL, Dalen H, Støylen A, Loennechen JP, et al. Effect of exercise training for five years on all cause mortality in older adults-the Generation 100 study: randomised controlled trial. BMJ. 2020;371:m3485. pmid:33028588
- 51.Young AF, Powers JR, Bell SL. Attrition in longitudinal studies: who do you lose?. Aust N Z J Public Health. 2006;30(4):353–61. pmid:16956166
Gerelateerde artikelen
- Sporten en bewegen aanmoedigen bij vrouwen vanaf middelbare leeftijd kan groot verschil uitmaken in kans op overlijden aan alle oorzaken, aan hart- en vaatziektes en aan kanker
- Stevige wandelingen en / of hardlopen voorkomt in grote mate het ontstaan van kanker in het spijsverteringsstelsel blijkt uit drie grote langjarige bevolkingsstudies
- Dagelijks 7.000 stappen / wandelen vermindert het risico op hart- en vaatziekten, kanker, dementie, diabetes en depressie aantoonbaar
- Fysiek actieve mensen hebben een lager risico op bepaalde slapeloosheidssymptomen en extreme slaapduur, zowel lang als kort. Blijkt uit grote Europese studie
- Intensieve lichaamsbeweging zoals hardlopen en wandelen vermindert risico op krijgen van Alzheimer met 15 tot 44 procent blijkt uit meta analyse
- Korte stevige wandeling elke dag kan er al voor zorgen dat je betere gezondheid houdt en 17 procent minder risico loopt op hart- en vaatziektes en 7 procent minder kanker.
- Lichaamsbeweging kan hartaanvallen en beroertes voorkomen tot wel 45 procent blijkt uit grote studie bij 90000 vrijwilligers die een polssensor droegen.tijdens gedeelte van de studie
- uurtje joggen per week voorkomt overlijden aan hart- en vaatziektes en kanker met respectievelijk 30 en 23 procent.
- Bewegen en risico op kanker: Mannen in de leeftijd van 45 tot 79 jaar, die elke dag een half uurtje bewegen, bv. fietsen of wandelen hebben 34% minder kans aan kanker te overlijden. Dit blijkt uit grote studie van 7 jaar in Zweden onder 40.000 mannen.
- Bewegen en sporten: Lichamelijk actief zijn kan bepaalde vormen van kanker voorkomen met tientallen procenten blijkt uit groot uitgevoerd onderzoek onder 1,5 miljoen mensen
- Bewegen: Mensen die te weinig bewegen en zittend hun dagen doorbrengen hadden 82 procent hoger risico om te overlijden aan kanker vergeleken met mensen die veel bewegen en sporten, zelfs na correctie voor leeftijd, geslacht en ziektestatus.



Plaats een reactie ...
Reageer op "Sporten en bewegen aanmoedigen bij vrouwen vanaf middelbare leeftijd kan groot verschil uitmaken in kans op overlijden aan alle oorzaken, aan hart- en vaatziektes en aan kanker"