Top

Quality of Life Research

Published in:

Open Access 05-09-2023 | Obesity

Association of body mass index from childhood to mid-adulthood with health-related quality of life in mid-adulthood

Authors: Jing Tian, Leigh Blizzard, Julie A. Campbell, Seana Gall, Terence Dwyer, Alison Venn

Published in: Quality of Life Research | Issue 12/2023

Abstract

Purpose

Most studies regarding the association of obesity with health-related quality of life (HRQoL) have assessed obesity at only one or two time points. We aimed to examine the associations of life course body mass index (BMI) from childhood with health-related quality of life (HRQoL) in mid-adulthood.

Methods

Data were from a cohort study of Australian children (n = 2254, mean baseline age 12.0 (2.0) years in 1985, 46.8% male). Weight and height were measured at baseline and measured or self-reported on average 20, 25, and 30 years later. Age and sex-standardised BMI-z score was calculated at each time point. Physical and mental HRQoL and health state utilities (HSUs) were measured by SF-12 and SF-6D at the last adult follow-up. Linear regression was used to examine the associations adjusting for age, sex, and childhood health status.

Results

Higher BMI-z score in childhood (β_adjusted − 1.39, 95% CI − 1.73 to − 1.05) and increasing BMI-z score from childhood to young adulthood (β_adjusted − 1.82, 95% CI − 2.17 to − 1.46) and from young to mid-adulthood (β_adjusted − 1.77, 95% CI − 2.28 to − 1.26) were associated with lower physical HRQoL in mid-adulthood. Similar results were found for mid-adulthood HSUs (β_adjusted ranged − 0.006 to − 0.014, all P < 0.05). Only increasing BMI-z score from young to mid-adulthood significantly related to poorer mental HRQoL (β_adjusted − 0.74, 95% CI − 1.29 to − 0.19) in mid-adulthood.

Conclusion

High BMI from childhood to mid-adulthood had only modest associations with HRQoL and HSUs, with effects on physical HRQoL most apparent.

Available only for authorised users

World Health Organization. (2021). Obesity and overweight: Fact sheet. Retrieved August 8, 2021, from https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight.

Singh, A. S., Mulder, C., Twisk, J. W., van Mechelen, W., & Chinapaw, M. J. (2008). Tracking of childhood overweight into adulthood: A systematic review of the literature. Obesity Reviews, 9(5), 474–488.PubMedCrossRef

Woo, J. G., Zhang, N., Fenchel, M., Jacobs, D. R., Jr., Hu, T., Urbina, E. M., Burns, T. L., Raitakari, O., Steinberger, J., Bazzano, L., Prineas, R. J., Jaquish, C., Juonala, M., Ryder, J. R., Daniels, S. R., Sinaiko, A., Dwyer, T., & Venn, A. (2020). Prediction of adult class II/III obesity from childhood BMI: The i3C consortium. International Journal of Obesity, 44(5), 1164–1172.PubMedCrossRef

Venn, A. J., Thomson, R. J., Schmidt, M. D., Cleland, V. J., Curry, B. A., Gennat, H. C., & Dwyer, T. (2007). Overweight and obesity from childhood to adulthood: A follow-up of participants in the 1985 Australian Schools Health and Fitness Survey. Medical Journal of Australia, 186(9), 458–460.PubMedCrossRef

World Health Organization. (2020). The top 10 causes of death: Fact sheet. Retrieved August 8, 2021, from https://www.who.int/news-room/fact-sheets/detail/the-top-10-causes-of-death.

Williams, J., Wake, M., Hesketh, K., Maher, E., & Waters, E. (2005). Health-related quality of life of overweight and obese children. JAMA, 293(1), 70–76.PubMedCrossRef

Ul-Haq, Z., Mackay, D. F., Fenwick, E., & Pell, J. P. (2013). Meta-analysis of the association between body mass index and health-related quality of life among children and adolescents, assessed using the pediatric quality of life inventory index. The Journal of Pediatrics, 162(2), 280-286 e281.PubMedCrossRef

Ul-Haq, Z., Mackay, D. F., Fenwick, E., & Pell, J. P. (2013). Meta-analysis of the association between body mass index and health-related quality of life among adults, assessed by the SF-36. Obesity (Silver Spring), 21(3), E322-327.PubMedCrossRef

Hayes, M., Baxter, H., Muller-Nordhorn, J., Hohls, J. K., & Muckelbauer, R. (2017). The longitudinal association between weight change and health-related quality of life in adults and children: A systematic review. Obesity Reviews, 18(12), 1398–1411.PubMedCrossRef

10.

Sahle, B. W., Slewa-Younan, S., Melaku, Y. A., Ling, L., & Renzaho, A. M. N. (2020). A bi-directional association between weight change and health-related quality of life: Evidence from the 11-year follow-up of 9916 community-dwelling adults. Quality of Life Research, 29(6), 1697–1706.PubMedCrossRef

11.

Svard, A., Lahti, J., Roos, E., Rahkonen, O., Lahelma, E., Lallukka, T., & Manty, M. (2017). Obesity, change of body mass index and subsequent physical and mental health functioning: A 12-year follow-up study among ageing employees. BMC Public Health, 17(1), 744.PubMedPubMedCentralCrossRef

12.

Frew, E. J., Pallan, M., Lancashire, E., Hemming, K., & Adab, P. (2015). Is utility-based quality of life associated with overweight in children? Evidence from the UK WAVES randomised controlled study. BMC Pediatrics. https://doi.org/10.1186/s12887-015-0526-1CrossRefPubMedPubMedCentral

13.

Eminson, K., Canaway, A., Adab, P., Lancashire, E., Pallan, M., & Frew, E. (2018). How does age affect the relationship between weight and health utility during the middle years of childhood? Quality of Life Research, 27(6), 1455–1462.PubMedPubMedCentralCrossRef

14.

Xia, Q., Campbell, J. A., Ahmad, H., Si, L., de Graaff, B., Otahal, P., & Palmer, A. J. (2020). Health state utilities for economic evaluation of bariatric surgery: A comprehensive systematic review and meta-analysis. Obesity Reviews, 21(8), e13028.PubMedCrossRef

15.

Kanesarajah, J., Waller, M., Whitty, J. A., & Mishra, G. D. (2017). The relationship between SF-6D utility scores and lifestyle factors across three life stages: Evidence from the Australian Longitudinal Study on Women’s Health. Quality of Life Research, 26(6), 1507–1519.PubMedCrossRef

16.

Gall, S. L., Jose, K. A., Smith, K., Dwyer, T., & Venn, A. J. (2009). The childhood determinants of adult health study: A profile of a cohort study to examine the childhood influences on adult cardiovascular health. Australasian Epidemiologist, 16(1), 35–38.

17.

Liu, C., Tian, J., Jose, M. D., Dwyer, T., & Venn, A. J. (2021). BMI trajectories from childhood to midlife are associated with subclinical kidney damage in midlife. Obesity, 29(6), 1058–1066.PubMedCrossRef

18.

Cole, T. J. (2000). Establishing a standard definition for child overweight and obesity worldwide: International survey. BMJ, 320(7244), 1240–1240.PubMedPubMedCentralCrossRef

19.

Ware, J., Jr., Kosinski, M., & Keller, S. D. (1996). A 12-item short-form health survey: Construction of scales and preliminary tests of reliability and validity. Medical Care, 34(3), 220–233.PubMedCrossRef

20.

Tian, J., Venn, A. J., Blizzard, L., Patton, G. C., Dwyer, T., & Gall, S. L. (2016). Smoking status and health-related quality of life: A longitudinal study in young adults. Quality of Life Research, 25(3), 669–685.PubMedCrossRef

21.

Brazier, J. E., & Roberts, J. (2004). The estimation of a preference-based measure of health from the SF-12. Medical Care, 42(9), 851–859.PubMedCrossRef

22.

Drummond, M. F., Sculpher, M. J., Claxton, K., Stoddart, G. L., & Torrance, G. W. (2015). Methods for the economic evaluation of health care programmes. Oxford University Press.

23.

Campbell, J. A., Palmer, A. J., Venn, A., Sharman, M., Otahal, P., & Neil, A. (2016). A head-to-head comparison of the EQ-5D-5L and AQoL-8D multi-attribute utility instruments in patients who have previously undergone bariatric surgery. The Patient-Patient-Centered Outcomes Research, 9(4), 311–322.PubMedCrossRef

24.

Walters, S. J., & Brazier, J. E. (2005). Comparison of the minimally important difference for two health state utility measures: EQ-5D and SF-6D. Quality of Life Research, 14(6), 1523–1532.PubMedCrossRef

25.

Pink, B. (2011). Socio-economic indexes for areas (SEIFA), technical paper. Retrieved May 31, 2023, from https://www.abs.gov.au/ausstats/abs@.nsf/Lookup/by%20Subject/2033.0.55.001~2011~Main%20Features~Technical%20Paper~5.

26.

Tian, J., Gall, S., Patterson, K., Otahal, P., Blizzard, L., Patton, G., Dwyer, T., & Venn, A. (2019). Socioeconomic position over the life course from childhood and smoking status in mid-adulthood: Results from a 25-year follow-up study. BMC Public Health, 19(1), 169.PubMedPubMedCentralCrossRef

27.

Patterson, K. A. E., Ferrar, K., Gall, S. L., Venn, A. J., Blizzard, L., Dwyer, T., & Cleland, V. J. (2020). Cluster patterns of behavioural risk factors among children: Longitudinal associations with adult cardio-metabolic risk factors. Preventive Medicine, 130, 105861.PubMedCrossRef

28.

Gall, S. L., Abbott-Chapman, J., Patton, G. C., Dwyer, T., & Venn, A. (2010). Intergenerational educational mobility is associated with cardiovascular disease risk behaviours in a cohort of young Australian adults: The Childhood Determinants of Adult Health (CDAH) Study. BMC Public Health, 10, 55.PubMedPubMedCentralCrossRef

29.

Mishra, G., Nitsch, D., Black, S., De Stavola, B., Kuh, D., & Hardy, R. (2009). A structured approach to modelling the effects of binary exposure variables over the life course. International Journal of Epidemiology, 38(2), 528–537.PubMedCrossRef

30.

Smith, A. D., Hardy, R., Heron, J., Joinson, C. J., Lawlor, D. A., Macdonald-Wallis, C., & Tilling, K. (2016). A structured approach to hypotheses involving continuous exposures over the life course. International Journal of Epidemiology, 45(4), 1271–1279.PubMedPubMedCentral

31.

Fraser, B. J., Blizzard, L., Cleland, V., Schmidt, M. D., Smith, K. J., Gall, S. L., Dwyer, T., Venn, A. J., & Magnussen, C. G. (2020). Factors associated with persistently high muscular power from childhood to adulthood. Medicine and Science in Sports and Exercise, 52(1), 49–55.PubMedCrossRef

32.

Seaman, S. R., White, I. R., Copas, A. J., & Li, L. (2012). Combining multiple imputation and inverse-probability weighting. Biometrics, 68(1), 129–137.PubMedPubMedCentralCrossRef

33.

Tsiros, M. D., Olds, T., Buckley, J. D., Grimshaw, P., Brennan, L., Walkley, J., Hills, A. P., Howe, P. R., & Coates, A. M. (2009). Health-related quality of life in obese children and adolescents. International Journal of Obesity, 33(4), 387–400.PubMedCrossRef

34.

Herman, K. M., Hopman, W. M., & Craig, C. L. (2010). Are youth BMI and physical activity associated with better or worse than expected health-related quality of life in adulthood? The Physical Activity Longitudinal Study. Quality of Life Research, 19(3), 339–349.PubMedCrossRef

35.

Parkinson, K. N., Adamson, A. J., Basterfield, L., Reilly, J. K., Le Couteur, A., & Reilly, J. J. (2015). Influence of adiposity on health-related quality of life in the Gateshead Millennium Study cohort: Longitudinal study at 12 years. Archives of Disease in Childhood, 100(8), 779–783.PubMedCrossRef

36.

Herman, K. M., Hopman, W. M., & Craig, C. L. (2011). Sex differences in the association of youth body mass index to adult health-related quality of life: The physical activity longitudinal study. Canadian Journal of Public Health, 102(1), 42–46.PubMedPubMedCentralCrossRef

37.

Sanderson, K., Patton, G. C., McKercher, C., Dwyer, T., & Venn, A. J. (2011). Overweight and obesity in childhood and risk of mental disorder: A 20-year cohort study. Australian & New Zealand Journal of Psychiatry, 45(5), 384–392.CrossRef

38.

Sahle, B. W., Breslin, M., Sanderson, K., Patton, G., Dwyer, T., Venn, A., & Gall, S. (2019). Association between depression, anxiety and weight change in young adults. BMC Psychiatry, 19(1), 398.PubMedPubMedCentralCrossRef

39.

Tian, J., Gall, S., Patton, G., Dwyer, T., & Venn, A. (2017). Partnering and parenting transitions associate with changing smoking status: A cohort study in young Australians. International Journal of Public Health, 62(8), 889–897.PubMedCrossRef

40.

Smith, K. J., McNaughton, S. A., Gall, S. L., Otahal, P., Dwyer, T., & Venn, A. J. (2017). Associations between partnering and parenting transitions and dietary habits in young adults. Journal of the Academy of Nutrition and Dietetics, 117(8), 1210–1221.PubMedCrossRef

41.

Tian, J., Smith, K. J., Cleland, V., Gall, S., Dwyer, T., & Venn, A. J. (2020). Partnering and parenting transitions in Australian men and women: Associations with changes in weight, domain-specific physical activity and sedentary behaviours. International Journal of Behavioral Nutrition and Physical Activity. https://doi.org/10.1186/s12966-020-00989-6CrossRefPubMedPubMedCentral

42.

Corder, K., Winpenny, E. M., Foubister, C., Guagliano, J. M., Hartwig, X. M., Love, R., Clifford Astbury, C., & Sluijs, E. M. F. (2020). Becoming a parent: A systematic review and meta-analysis of changes in BMI, diet, and physical activity. Obesity Reviews. https://doi.org/10.1111/obr.12959CrossRefPubMedPubMedCentral

43.

Seymour-Smith, M., Cruwys, T., & Haslam, S. A. (2021). More to lose? Longitudinal evidence that women whose social support declines following childbirth are at increased risk of depression. Australian and New Zealand Journal of Public Health, 45(4), 338–343.PubMedCrossRef

44.

Lee, C., & Gramotnev, H. (2007). Life transitions and mental health in a national cohort of young Australian women. Developmental Psychology, 43(4), 877–888.PubMedCrossRef

45.

Enticott, J., Dawadi, S., Shawyer, F., Inder, B., Fossey, E., Teede, H., Rosenberg, S., Ozols Am, I., & Meadows, G. (2022). Mental health in Australia: Psychological distress reported in six consecutive cross-sectional national surveys from 2001 to 2018. Frontiers in Psychiatry, 13, 815904.PubMedPubMedCentralCrossRef

46.

Chen, G., Ratcliffe, J., Olds, T., Magarey, A., Jones, M., & Leslie, E. (2014). BMI, health behaviors, and quality of life in children and adolescents: A school-based study. Pediatrics, 133(4), e868-874.PubMedCrossRef

47.

Sahoo, K., Sahoo, B., Choudhury, A. K., Sofi, N. Y., Kumar, R., & Bhadoria, A. S. (2015). Childhood obesity: Causes and consequences. Journal of Family Medicine and Primary Care, 4(2), 187–192.PubMedPubMedCentralCrossRef

48.

Juonala, M., Magnussen, C. G., Berenson, G. S., Venn, A., Burns, T. L., Sabin, M. A., Srinivasan, S. R., Daniels, S. R., Davis, P. H., Chen, W., Sun, C., Cheung, M., Viikari, J. S. A., Dwyer, T., & Raitakari, O. T. (2011). Childhood adiposity, adult adiposity, and cardiovascular risk factors. New England Journal of Medicine, 365(20), 1876–1885.PubMedCrossRef

49.

Field, A. E., Aneja, P., & Rosner, B. (2007). The validity of self-reported weight change among adolescents and young adults. Obesity, 15(9), 2357–2364.PubMedCrossRef

Title: Association of body mass index from childhood to mid-adulthood with health-related quality of life in mid-adulthood
Authors: Jing Tian
Leigh Blizzard
Julie A. Campbell
Seana Gall
Terence Dwyer
Alison Venn
Publication date: 05-09-2023
Publisher: Springer International Publishing
Keywords: Obesity
Obesity
Published in: Quality of Life Research / Issue 12/2023
Print ISSN: 0962-9343
Electronic ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-023-03497-9

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Association of body mass index from childhood to mid-adulthood with health-related quality of life in mid-adulthood

Abstract

Purpose

Methods

Results

Conclusion

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Purpose

Methods

Results

Conclusion

Please log in to get access to this content

Other articles of this Issue 12/2023

Validation of the bowel urgency numeric rating scale in patients with Crohn’s disease: results from a mixed methods study

Living well while providing support: validation of LTCQ-Carer for assessing informal carers’ quality of life

Patient quality of life and caregiver experiences in ovarian cancer: How are they related?

Comparative effectiveness of verbal instruction versus video-based education (VIVid) among family caregivers for improving the quality of life in advanced head and neck cancer patients receiving palliative care in Eastern India: a randomized controlled trial

Psychosocial factors associated with j-pouch surgery for patients with IBD: a scoping review

Profiles of subjective well-being among people living with HIV during the COVID-19 pandemic