Weight loss is associated with improved quality of life among rural women completers of a web-based lifestyle intervention
Autoři:
Patricia A. Hageman aff001; Joseph E. Mroz aff001; Michael A. Yoerger aff001; Carol H. Pullen aff002
Působiště autorů:
Division of Physical Therapy Education, College of Allied Health Professions, University of Nebraska Medical Center, Omaha, Nebraska, United States of America
aff001; College of Nursing-Omaha Division, University of Nebraska Medical Center, Omaha, Nebraska, United States of America
aff002
Vyšlo v časopise:
PLoS ONE 14(11)
Kategorie:
Research Article
doi:
https://doi.org/10.1371/journal.pone.0225446
Souhrn
Introduction
The evidence for whether weight loss following longer-term lifestyle interventions results in improved health-related quality of life (HRQoL) is inconclusive. This study examines whether women who lose weight after completing an 18-month web-based lifestyle modification intervention would report a corresponding improvement in HRQoL as measured using the Patient-Reported Outcomes Measurement Information System 29-item profile (PROMIS-29 v1.0).
Methods
Data from 216 rural women, ages 40 to 69, with baseline and 18-month PROMIS-29 data were analyzed in this secondary analysis of the Women Weigh-in for Wellness clinical trial. This trial promoted lifestyle modification for initial weight loss (baseline to 6 months) and guided weight loss (6 months to 18 months) using a web-delivery format.
Results
After adjusting for age, number of comorbidities, change in physical activity from baseline, intervention group, and baseline PROMIS-29 scores, change in weight was associated with improved health-related quality of life (HRQoL) in the domains of depression, physical function, pain interference, fatigue, and satisfaction with social role. Logistic regressions, adjusting for the same factors, indicated women with ≥ 10% weight loss were more likely to report lower depression, higher physical function and less pain interference, compared to women who gained weight or lost < 5%.
Conclusions
Among our rural women, a loss in weight from baseline appeared to be associated with overall improvement in multiple PROMIS-29 v 1.0 domains, noting the likelihood of achieving improvement was significantly higher among women who attained ≥ 10% weight loss. These findings may positively influence a woman’s adherence to lifestyle modification weight loss and weight maintenance program.
Trial registration
ClinicalTrials.gov NCT01307644.
Klíčová slova:
Depression – Fatigue – Obesity – Physical activity – Quality of life – Weight loss – Women's health
Zdroje
1. Adams KF, Schatzkin A, Harris TB, Kipnis V, Mouw T, Ballard-Barbash R, et al. Overweight, obesity, and mortality in a large prospective cohort of persons 50 to 71 years old. N Engl J Med. 2006 Aug 24;355(8):763–78. doi: 10.1056/NEJMoa055643 16926275
2. Guh DP, Zhang W, Bansback N, Amarsi Z, Birmingham CL, Anis AH. The incidence of co-morbidities related to obesity and overweight: a systematic review and meta-analysis. BMC Public Health. 2009 Dec;9(1):88. doi: 10.1186/1471-2458-9-88 19320986
3. Befort CA, Nazir N, Perri MG. Prevalence of obesity among adults from rural and urban areas of the United States: findings from NHANES (2005‐2008). J Rural Health. 2012 Sep;28(4):392–7. doi: 10.1111/j.1748-0361.2012.00411.x 23083085
4. Trivedi T, Liu J, Probst J, Merchant A, Jhones S, Martin AB. Obesity and obesity-related behaviors among rural and urban adults in the USA. Rural Remote Health. 2015 Oct-Dec;15(4):3267. doi: 10.1093/jpepsy/jsq117 26458564
5. Ul‐Haq Z, Mackay DF, Fenwick E, Pell JP. Meta‐analysis of the association between body mass index and health‐related quality of life among adults, assessed by the SF‐36. Obesity. 2013 Mar;21(3):E322–7. doi: 10.1002/oby.20107 23592685
6. Kolotkin RL, Andersen JR. A systematic review of reviews: exploring the relationship between obesity, weight loss and health‐related quality of life. Clin Obes. 2017 Oct;7(5):273–89. doi: 10.1111/cob.12203 28695722
7. Bentley TG, Palta M, Paulsen AJ, Cherepanov D, Dunham NC, Feeny D, et al. Race and gender associations between obesity and nine health-related quality-of-life measures. Quality Life Res. 2011 Jun 1;20(5):665–74. doi: 10.1007/s11136-011-9878-7 21547358
8. Lynch CP, McTigue KM, Bost JE, Tinker LF, Vitolins M, Adams-Campbell L, et al. Excess weight and physical health-related quality of life in postmenopausal women of diverse racial/ethnic backgrounds. J Womens Health (Larchmt). 2010 Aug 1;19(8):1449–58. doi: 10.1089/jwh.2009.1652 20629574
9. Hageman PA, Pullen CH, Dizona P, Schmidt K, Boeckner LS. Obesity and physical function in rural women who enroll in a lifestyle modification intervention for reducing blood pressure. Cardiopulm Phys Ther J. 2013 Dec;24(4):4. doi: 10.1097/01823246-201324040-00002 25741228
10. Leveille SG, Resnick HE, Balfour J. Gender differences in disability: evidence and underlying reasons. Aging Clin Exp Res. 2000 Apr 1;12(2):106–12. doi: 10.1007/BF03339897 10902052
11. Warkentin LM, Das D, Majumdar SR, Johnson JA, Padwal RS. The effect of weight loss on health‐related quality of life: systematic review and meta‐analysis of randomized trials. Obes Rev. 2014 Mar;15(3):169–82. doi: 10.1111/obr.12113 24118750
12. Fabricatore AN, Wadden TA, Higginbotham AJ, Faulconbridge LF, Nguyen AM, Heymsfield SB, et al. Intentional weight loss and changes in symptoms of depression: a systematic review and meta-analysis. Int J Obes (Lond). 2011 Nov;35(11):1363. doi: 10.1038/ijo.2011.2 21343903
13. Maciejewski ML, Patrick DL, Williamson DF. A structured review of randomized controlled trials of weight loss showed little improvement in health-related quality of life. J Clin Epidemiol. 2005 Jun 1;58(6):568–78. doi: 10.1016/j.jclinepi.2004.10.015 15878470
14. Pan A, Kawachi I, Luo N, Manson JE, Willett WC, Hu FB, et al. Changes in body weight and health-related quality of life: 2 cohorts of US women. Am J Epidemiol. 2014 Jun 24;180(3):254–62. doi: 10.1093/aje/kwu136 24966215
15. Sarwer DB, Moore RH, Diewald LK, Chittams J, Berkowitz RI, Vetter M, et al. The impact of a primary care-based weight loss intervention on the quality of life. Internat J Obes (Lond). 2013 Aug 6;37(S1):S25–30. doi: 10.1038/ijo.2013.93 23921778
16. Kroes M, Osei-Assibey G, Baker-Searle R, Huang J. Impact of weight change on quality of life in adults with overweight/obesity in the United States: a systematic review. Cur Med Res Opin. 2016 Mar 3;32(3):485–508. doi: 10.1185/03007995/2015.1128403 26652030
17. Jensen MD, Ryan DH, Apovian CM, Art JD, Comuzzie AG, Donato KA, et al. 2013 AHA/ACC/TOS guideline for the management of overweight and obesity in adults: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and The Obesity Society. Circulation. 2014 Jun 24;139(25 Suppl 2):S1022–38. doi: 10.1001/jama.2017.21903 29411037
18. Pearl RL, Waddan TA, Tronieri JS, Berkowitz RI, Chao AM, Alamuddin N et al. Short- and long-term changes in health-related quality of life with weight loss: results from a randomized controlled trial. Obesity. 2018 26:985–991. doi: 10.1002/oby.22187 29676530
19. Cella D, Riley W, Stone A, Rothrock N, Reeve B, Yount S, et al. The Patient-reported outcomes measurement information system (PROMIS) developed and tested its first wave of adult self-reported health outcome item banks: 2005–2008. J Clin Epidemiol. 2010 Nov 1;63(11):1179–94. doi: 10.1016/j.jclinepi.2010.04.011 20685078
20. Bevans M, Ross A, Cella D. Patient-reported outcomes measurement information system (PROMIS): efficient, standardized tools to measure self-reported health and quality of life. Nurs Outlook. 2014 Sep 1;62(5):339–45. doi: 10.1016/j.outlook.2014.05.009 25015409
21. Craig BM, Reeve BB, Brown PM, Cella D, Hays RD, Lipscomb J, et al. US valuation of health outcomes measured using the PROMIS-29. Value Health. 2014 Dec 1;17(8):846–53. doi: 10.1016/j.jval.2014.09.005 25498780
22. Melvin CL, Corbie-Smith G, Kumanyika SK, Pratt CA, Nelson C, Walker ER, et al. Developing a research agenda for cardiovascular disease prevention in high-risk rural communities. Am J Public Health. 2013 Jun;103(6):1011–21. doi: 10.2105/AJPH.2012.300984 23597371
23. Hageman PA, Pullen CH, Hertzog M, Boeckner LS, Walker SN. Web-based interventions for weight loss and weight maintenance among rural midlife and older women: protocol for a randomized controlled trial. BMC Public Health. 2011 Dec;11(1):521. doi: 10.1186/1471-2458-11-521 21718512
24. Hageman PA, Pullen CH, Hertzog M, Pozehl B, Eisenhauer C, Boeckner LS. Web-based interventions alone or supplemented with peer-led support or professional email counseling for weight loss and weight maintenance in women from rural communities: Results of a clinical trial. J Obes. 2017 Apr;4:1–21. doi: 10.1155/2017/1602627 28480078
25. U.S. Department of Agriculture and U.S. Department of Health and Human Services. 2011. Available: https://health.gov/dietaryguidelines/dga2010/dietaryguidelines2010.pdf
26. United States Department of Health. Healthy people 2010: Understanding and improving health. 2010. Available: http://health-equity.lib.umd.edu/640/1/Healthy_People_2010-Under_and_Improv_Health.pdf
27. U.S. Department of Health and Human Services. Physical Activity Guidelines for Americans. 2008. Available: https://health.gov/paguidelines/pdf/paguide.pdf
28. Pender NJ, Murdaugh CL, Parsons MA. Health promotion in nursing practice, 5th edition. Upper Saddle River, NJ: Pearson Prentice-Hall; 2006.
29. Hageman PA, Mroz JE, Yoerger MA, Pullen CH. User engagement associated with web-intervention features to attain clinically meaningful weight loss and weight maintenance in rural women, J Obes. 2019 Feb;2:1–7. doi: 10.1155/2019/7932750 30944736
30. Troiano RP, Berrigan D, Dodd KW, Masse LC, Tilert T, McDowell M. Physical activity in the United States measured by accelerometer. Med Sci Sports Exer. 2008 Jan 1;40(1):181–8. doi: 10.1249/mss.0b013e31815a51b3 18091006
31. Freedson PS, Melanson E, Sirard J. Calibration of the Computer Science and Applications, Inc. accelerometer. Med Sci Sports Exer. 1998 May;30(5):777–81. doi: 10.1097/00005768-199805000-00021 9588623
32. Kim HY. Statistical notes for clinical researchers: assessing normal distribution (2) using skewness and kurtosis. Restor Dent Endod. 2013;38(1):52. doi: 10.5395/rde.2013.38.1.52 23495371
33. Tabachnick BG, Fidell LS. Using multivariate statistics, 5th edition. Boston, MA: Pearson Education; 2007.
34. Ul-Haq Z, Mackay DF, Fenwick E, Pell JP. Impact of metabolic comorbidity on the association between body mass index and health-related quality of life: a Scotland-wide cross-sectional study of 5,608 participants. BMC Public Health. 2012 Dec;12(1):143. doi: 10.1186/1471-2458-12-143 22364437
35. Fortin M, Lapointe L, Hudon C, Vanasse A, Ntetu AL, Maltais D. Multimorbidity and quality of life in primary care: a systematic review. Health Qual Life Outcomes. 2004 Dec;2(1):51. doi: 10.1186/1477-7525-2-51 18226249
36. Hageman PA, Pullen CH, Yoerger M. Physical function and health-related quality of life in overweight and obese rural women who meet physical activity recommendations. J Aging Phys Act. 2018 Jul 1;26(3):438–44. doi: 10.1123/japa.2017-0117 28952857
37. Broderick JE, Schneider S, Junghaenel D, Schwartz JE, Stone AA. Validity and reliability of a Patient-Reported Outcome Instrument System (PROMIS) instruments in osteoarthritis. Arthritis Care and Research (Hoboken). 2013 65(10):1626–1633.
38. Wieland LS, Falzon L, Sciamanna CN, Trudeau KJ, Folse SB, Schwartz JE, et al. Interactive computer‐based interventions for weight loss or weight maintenance in overweight or obese people. Cochrane Database Syst Rev. 2012(8). doi: 10.1002/14651858.CD007675.pub2 22895964
39. Neve M, Morgan PJ, Jones PR, Collins CE. Effectiveness of web-based interventions in achieving weight loss and weight loss maintenance in overweight and obese adults: a systematic review with meta-analysis. Obes. Rev. 2010 11(4):306–21 doi: 10.1111/j.1467-789X.2009.00646.x 19754633
40. Moroshko I, Brennan L, O’Brien P. Predictors of dropout in weight loss interventions: a systematic review of the literature. Obes. Rev. 2011 12:912–934 doi: 10.1111/j.1467-789X.2011.00915.x 21815990
41. Ross KM, Milsom VA, Rickel KA, DeBraganza N, Gibbons LM, Murawski ME, et al. The contributions of weight loss and increased physical fitness to improvements in health-related quality of life. Eat Behav. 2009 Apr 1;10(2):84–8. doi: 10.1016/j.eatbeh.2008.12.002 19447349
42. Imayama I, Alfano CM, Kong A, Foster-Schubert KE, Bain CE, Xiao L, et al. Dietary weight loss and exercise interventions effects on quality of life in overweight/obese postmenopausal women: a randomized controlled trial. Int J Behav Nutr Phys Act. 2011 Dec;8(1):118. doi: 10.1186/1479-5868-8-118 22026966
43. van Gemert WA, van der Palen J, Monninkhof EM, Rozeboom A, Peters R, Wittink H, et al. Quality of life after diet or exercise-induced weight loss in overweight to obese postmenopausal women: the SHAPE-2 randomised controlled trial. PloS One. 2015 Jun 1;10(6):e0127520. doi: 10.1371/journal.pone.0127520 26029921
44. Barry D, Pietrzak RH, Petry NM. Gender differences in associations between body mass index and DSM-IV mood and anxiety disorders: results from the National Epidemiologic Survey on Alcohol and Related Conditions. Ann Epidemiol. 2008 Jun 1;18(6):458–66. doi: 10.1016/j.annepidem.2007.12.009 18329894
45. Coon CD, Cappelleri JC. Interpreting change in scores on Patient-Reported Outcome instruments. Therapeutic Innovation & Regulatory Science. 2016 50(1):22–29.
46. Calvert M, Kyte D, Mercieca-Bebber R, Slade A, Chan AW, King MI: The SPIRIT-PRO Group. Guidelines for Inclusion of Patient-Reported Outcomes in Clinical Trial Protocols: The SPIRIT-PRO Extension. JAMA. 2018 Feb 6;319(5):483–494. doi: 10.1001/jama.2017.21903 29411037
Článek vyšel v časopise
PLOS One
2019 Číslo 11
- Tisícileté topoly, mokří psi, stárnoucí kočky a ospalé octomilky – „jednohubky“ z výzkumu 2024/41
- Jaké jsou aktuální trendy v léčbě karcinomu slinivky?
- Může hubnutí souviset s vyšším rizikem nádorových onemocnění?
- Menstruační krev má značný diagnostický potenciál, mimo jiné u diabetu
- Metamizol jako analgetikum první volby: kdy, pro koho, jak a proč?
Nejčtenější v tomto čísle
- A daily diary study on maladaptive daydreaming, mind wandering, and sleep disturbances: Examining within-person and between-persons relations
- A 3’ UTR SNP rs885863, a cis-eQTL for the circadian gene VIPR2 and lincRNA 689, is associated with opioid addiction
- A substitution mutation in a conserved domain of mammalian acetate-dependent acetyl CoA synthetase 2 results in destabilized protein and impaired HIF-2 signaling
- Molecular validation of clinical Pantoea isolates identified by MALDI-TOF
Zvyšte si kvalifikaci online z pohodlí domova
Všechny kurzy