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Schumacher BT, LaMonte MJ, Di C, Parada H, Hooker SP, Bellettiere J, Simonsick EM, Liles S, LaCroix AZ. Associations of Relative Intensity of Physical Activity with Incident Cardiovascular Events and All-Cause Mortality. J Gerontol A Biol Sci Med Sci 2024:glae113. [PMID: 38699999 DOI: 10.1093/gerona/glae113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Indexed: 05/05/2024] Open
Abstract
BACKGROUND The relative intensity of a physical activity (PA) can be estimated as the percent of one's maximal effort required. METHODS We compared associations of relative and absolute intensity PA with incident major cardiovascular disease (CVD) and all-cause mortality in 5,633 women from the Objective Physical Activity and Cardiovascular Health Study (mean age 78.5±6.7). Absolute intensity was measured by accelerometry. Relative intensity was estimated by dividing accelerometer-estimated metabolic equivalents (METs) by maximal MET capacity. Both were aggregated into mean daily hours of light intensity PA (LPA) and moderate-to-vigorous PA (MVPA). Cox proportional hazards models estimated hazard ratios (HRs) for one-hour higher amounts of PA on outcomes. RESULTS During follow-up (median=7.4 years), there were 748 incident CVD events and 1,312 deaths. Greater LPA and MVPA, on either scale, was associated with reduced risk of both outcomes. HRs for a one-hour increment of absolute LPA were 0.88 (95% CI:0.83-0.93) and 0.88 (95% CI:0.84-0.92) for incident CVD and mortality, respectively. HRs for a one-hour increment of absolute MPVA were 0.73 (95% CI:0.61-0.87) and 0.55 (95% CI:0.48-0.64) for the same outcomes. HRs for a one-hour increment of relative LPA were 0.70 (95% CI:0.59-0.84) and 0.78 (95% CI:0.68-0.89) for incident CVD and mortality, respectively. HRs for a one-hour increment of relative MPVA were 0.89 (95% CI:0.83-0.96) and 0.82 (95% CI:0.77-0.87) for the same outcomes. On the relative scale, LPA was more strongly, inversely associated with both outcomes than relative MVPA. Absolute MVPA was more strongly inversely associated with the outcomes than relative MVPA. CONCLUSION Findings support the continued shift in the PA intensity paradigm towards recommendation of more movement, regardless of intensity. Relative LPA--a modifiable, more easily achieved behavioral target, particularly among ambulatory older adults--was associated with reduced risk of incident major CVD and death.
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Affiliation(s)
- Benjamin T Schumacher
- Herbert Wertheim School of Public Health and Human Longevity Science, UC San Diego, La Jolla, CA, USA
| | - Michael J LaMonte
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo-SUNY, Buffalo, NY, USA
| | - Chongzhi Di
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Humberto Parada
- Division of Epidemiology and Biostatistics, School of Public Health, San Diego State University, San Diego, CA, USA
- UCSD Moores Cancer Center, La Jolla, CA, USA
| | - Steven P Hooker
- College of Health and Human Services, San Diego State University, San Diego, CA, USA
| | - John Bellettiere
- Herbert Wertheim School of Public Health and Human Longevity Science, UC San Diego, La Jolla, CA, USA
| | - Eleanor M Simonsick
- Translational Gerontology Branch, Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Sandy Liles
- Herbert Wertheim School of Public Health and Human Longevity Science, UC San Diego, La Jolla, CA, USA
- School of Public Health, San Diego State University, San Diego, CA, USA
| | - Andrea Z LaCroix
- Herbert Wertheim School of Public Health and Human Longevity Science, UC San Diego, La Jolla, CA, USA
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Manson JE, Crandall CJ, Rossouw JE, Chlebowski RT, Anderson GL, Stefanick ML, Aragaki AK, Cauley JA, Wells GL, LaCroix AZ, Thomson CA, Neuhouser ML, Van Horn L, Kooperberg C, Howard BV, Tinker LF, Wactawski-Wende J, Shumaker SA, Prentice RL. The Women's Health Initiative Randomized Trials and Clinical Practice: A Review. JAMA 2024:2818206. [PMID: 38691368 DOI: 10.1001/jama.2024.6542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/03/2024]
Abstract
Importance Approximately 55 million people in the US and approximately 1.1 billion people worldwide are postmenopausal women. To inform clinical practice about the health effects of menopausal hormone therapy, calcium plus vitamin D supplementation, and a low-fat dietary pattern, the Women's Health Initiative (WHI) enrolled 161 808 postmenopausal US women (N = 68 132 in the clinical trials) aged 50 to 79 years at baseline from 1993 to 1998, and followed them up for up to 20 years. Observations The WHI clinical trial results do not support hormone therapy with oral conjugated equine estrogens plus medroxyprogesterone acetate for postmenopausal women or conjugated equine estrogens alone for those with prior hysterectomy to prevent cardiovascular disease, dementia, or other chronic diseases. However, hormone therapy is effective for treating moderate to severe vasomotor and other menopausal symptoms. These benefits of hormone therapy in early menopause, combined with lower rates of adverse effects of hormone therapy in early compared with later menopause, support initiation of hormone therapy before age 60 years for women without contraindications to hormone therapy who have bothersome menopausal symptoms. The WHI results do not support routinely recommending calcium plus vitamin D supplementation for fracture prevention in all postmenopausal women. However, calcium and vitamin D are appropriate for women who do not meet national guidelines for recommended intakes of these nutrients through diet. A low-fat dietary pattern with increased fruit, vegetable, and grain consumption did not prevent the primary outcomes of breast or colorectal cancer but was associated with lower rates of the secondary outcome of breast cancer mortality during long-term follow-up. Conclusions and Relevance For postmenopausal women, the WHI randomized clinical trials do not support menopausal hormone therapy to prevent cardiovascular disease or other chronic diseases. Menopausal hormone therapy is appropriate to treat bothersome vasomotor symptoms among women in early menopause, without contraindications, who are interested in taking hormone therapy. The WHI evidence does not support routine supplementation with calcium plus vitamin D for menopausal women to prevent fractures or a low-fat diet with increased fruits, vegetables, and grains to prevent breast or colorectal cancer. A potential role of a low-fat dietary pattern in reducing breast cancer mortality, a secondary outcome, warrants further study.
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Affiliation(s)
- JoAnn E Manson
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Carolyn J Crandall
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles
| | - Jacques E Rossouw
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Rowan T Chlebowski
- Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California
| | - Garnet L Anderson
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Marcia L Stefanick
- Stanford Prevention Research Center, Department of Medicine, Stanford University, Stanford, California
| | - Aaron K Aragaki
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Jane A Cauley
- Department of Epidemiology, University of Pittsburgh School of Public Health|Epidemiology, Pittsburgh, Pennsylvania
| | | | - Andrea Z LaCroix
- Division of Epidemiology, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, California
| | - Cynthia A Thomson
- Department of Health Promotion Science, University of Arizona, Tucson
| | - Marian L Neuhouser
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Linda Van Horn
- Department of Preventive Medicine, Northwestern University, Chicago, Illinois
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Barbara V Howard
- MedStar Health Research Institute and Department of Medicine, Georgetown University School of Medicine, Washington, DC
| | - Lesley F Tinker
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Jean Wactawski-Wende
- Department of Epidemiology and Environmental Health, University at Buffalo-SUNY, Buffalo, New York
| | - Sally A Shumaker
- Department of Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina
| | - Ross L Prentice
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington
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Zablocki RW, Hartman SJ, Di C, Zou J, Carlson JA, Hibbing PR, Rosenberg DE, Greenwood-Hickman MA, Dillon L, LaCroix AZ, Natarajan L. Using functional principal component analysis (FPCA) to quantify sitting patterns derived from wearable sensors. Int J Behav Nutr Phys Act 2024; 21:48. [PMID: 38671485 PMCID: PMC11055353 DOI: 10.1186/s12966-024-01585-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 03/21/2024] [Indexed: 04/28/2024] Open
Abstract
BACKGROUND Sedentary behavior (SB) is a recognized risk factor for many chronic diseases. ActiGraph and activPAL are two commonly used wearable accelerometers in SB research. The former measures body movement and the latter measures body posture. The goal of the current study is to quantify the pattern and variation of movement (by ActiGraph activity counts) during activPAL-identified sitting events, and examine associations between patterns and health-related outcomes, such as systolic and diastolic blood pressure (SBP and DBP). METHODS The current study included 314 overweight postmenopausal women, who were instructed to wear an activPAL (at thigh) and ActiGraph (at waist) simultaneously for 24 hours a day for a week under free-living conditions. ActiGraph and activPAL data were processed to obtain minute-level time-series outputs. Multilevel functional principal component analysis (MFPCA) was applied to minute-level ActiGraph activity counts within activPAL-identified sitting bouts to investigate variation in movement while sitting across subjects and days. The multilevel approach accounted for the nesting of days within subjects. RESULTS At least 90% of the overall variation of activity counts was explained by two subject-level principal components (PC) and six day-level PCs, hence dramatically reducing the dimensions from the original minute-level scale. The first subject-level PC captured patterns of fluctuation in movement during sitting, whereas the second subject-level PC delineated variation in movement during different lengths of sitting bouts: shorter (< 30 minutes), medium (30 -39 minutes) or longer (> 39 minute). The first subject-level PC scores showed positive association with DBP (standardized β ^ : 2.041, standard error: 0.607, adjusted p = 0.007), which implied that lower activity counts (during sitting) were associated with higher DBP. CONCLUSION In this work we implemented MFPCA to identify variation in movement patterns during sitting bouts, and showed that these patterns were associated with cardiovascular health. Unlike existing methods, MFPCA does not require pre-specified cut-points to define activity intensity, and thus offers a novel powerful statistical tool to elucidate variation in SB patterns and health. TRIAL REGISTRATION ClinicalTrials.gov NCT03473145; Registered 22 March 2018; https://clinicaltrials.gov/ct2/show/NCT03473145 ; International Registered Report Identifier (IRRID): DERR1-10.2196/28684.
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Affiliation(s)
- Rong W Zablocki
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California at San Diego, 9500 Gilman Drive, La Jolla, 92093, California, USA
| | - Sheri J Hartman
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California at San Diego, 9500 Gilman Drive, La Jolla, 92093, California, USA
| | - Chongzhi Di
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N, Seattle, 98109, Washington, USA
| | - Jingjing Zou
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California at San Diego, 9500 Gilman Drive, La Jolla, 92093, California, USA
| | - Jordan A Carlson
- Center for Children's Healthy Lifestyles and Nutrition, Children's Mercy Kansas City, 610 E. 22nd St., Kansas City, 64108, Missouri, USA
| | - Paul R Hibbing
- Department of Kinesiology and Nutrition, University of Illinois Chicago, 1919 W Taylor St, Chicago, IL, 60612, USA
| | - Dori E Rosenberg
- Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave, Suite 1600, Seattle, 98101, Washington, USA
| | | | - Lindsay Dillon
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California at San Diego, 9500 Gilman Drive, La Jolla, 92093, California, USA
| | - Andrea Z LaCroix
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California at San Diego, 9500 Gilman Drive, La Jolla, 92093, California, USA
| | - Loki Natarajan
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California at San Diego, 9500 Gilman Drive, La Jolla, 92093, California, USA.
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Yarish NM, Posis AIB, Nguyen S, Weitlauf J, Bellettiere J, Saquib N, Richey PA, Allison M, Kroenke C, Goveas JS, Coday M, LaCroix AZ. Loneliness, social isolation, and cardiovascular disease among nonveteran and veteran women. J Women Aging 2024:1-12. [PMID: 38659158 DOI: 10.1080/08952841.2024.2336655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 03/25/2024] [Indexed: 04/26/2024]
Abstract
We examined the prospective associations of social isolation and loneliness with incident cardiovascular disease (CVD) among aging nonveteran and veteran women, and effect modification by veteran status. Participants with no history of myocardial infarction (MI), stroke, coronary heart disease (CHD), or coronary heart failure from the Women's Health Initiative Extension Study II self-reported social isolation, loneliness, health behaviors, health status, and veteran status. CVD and CVD subevents were physician adjudicated. Hazard ratios (HR) and 95% confidence intervals (CI) for the Interquartile Range (IQR) in social isolation (IQR = 1) and loneliness (IQR=.33) were calculated using Cox proportional hazard models adjusting for sociodemographic, health behavior, and health status characteristics. Veteran status was tested as an effect modifier. Among 52,442 women (Mean age = 79 ± 6.1; veterans n = 1023; 89.2% non-Hispanic White), 3579 major CVD events occurred over an average 5.8 follow-up years. Compared to nonveterans, veteran women reported higher levels of social isolation (p < .01) and loneliness (p < .01). The CVD HR was 1.07 (95% CI, 1.04-1.10) for the IQR in social isolation and 1.03 (95% CI, 1.10-1.06) for the IQR in loneliness. The HR for the IQR in both social isolation and loneliness was 1.10 (95% CI, 1.05-1.15). Social isolation was associated with CHD (HR = 1.12; 95% CI, 1.03-1.21). The CHD HR for the IQR in social isolation was 1.12 (95% CI, 1.03-1.21). Associations did not differ by veteran status (all p-interactions > 0.08). Findings suggest that the adverse associations of social isolation and loneliness with CVD are similar among veteran and nonveteran women.
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Affiliation(s)
- Natalie M Yarish
- School of Community and Environmental Health, Old Dominion University, Norfolk, Virginia, USA
| | - Alexander Ivan B Posis
- Herbert Wertheim School of Public Health and Human Longevity Science, UC San Diego, San Diego, California, USA
- School of Public Health, San Diego State University, San Diego, California, USA
| | - Steve Nguyen
- Herbert Wertheim School of Public Health and Human Longevity Science, UC San Diego, San Diego, California, USA
| | - Julie Weitlauf
- Veterans Affairs Palo Alto Health Care System, Livermore, California, USA
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Palo Alto, California, USA
| | - John Bellettiere
- Herbert Wertheim School of Public Health and Human Longevity Science, UC San Diego, San Diego, California, USA
| | - Nazmus Saquib
- Sulaiman Al Rajhi University, Al Bukayriyah, Saudi Arabia
| | - Phyllis A Richey
- Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, USA
| | - Matthew Allison
- Division of Preventive Medicine, Department of Family Medicine, UC San Diego, San Diego, California, USA
| | - Candyce Kroenke
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | | | - Mace Coday
- University of Tennessee Health Science Center, Memphis, Tennessee, USA
| | - Andrea Z LaCroix
- Herbert Wertheim School of Public Health and Human Longevity Science, UC San Diego, San Diego, California, USA
- Women's Health Initiative, USA
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Schilsky S, Green Howard A, Moore CC, Cuthbertson CC, Parada H, Lee IM, Di C, LaMonte MJ, Buring JE, Shiroma EJ, LaCroix AZ, Evenson KR. Correlates of physical activity and sedentary behavior among cancer survivors and cancer-free women: The Women's Health Accelerometry Collaboration. PLoS One 2024; 19:e0301233. [PMID: 38573893 PMCID: PMC10994363 DOI: 10.1371/journal.pone.0301233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Accepted: 03/12/2024] [Indexed: 04/06/2024] Open
Abstract
BACKGROUND Describing correlates of physical activity (PA) and sedentary behavior (SB) among postmenopausal cancer survivors can help identify risk profiles and can be used to support development of targeted interventions to improve PA and reduce SB in this population. OBJECTIVE To describe PA/SB and identify correlates of PA/SB among cancer and cancer-free post-menopausal women. METHODS Women from the Women's Health Study (N = 16,629) and Women's Health Initiative/Objective Physical Activity and Cardiovascular Health Study (N = 6,079) were asked to wear an accelerometer on the hip for 7 days. Multiple mixed-effects linear regression models were used to identify sociodemographic-, health-, and chronic condition-related correlates (independent variables) associated with PA and SB (dependent variables) among women with (n = 2,554) and without (n = 20,154) a history of cancer. All correlates were mutually adjusted for each other. RESULTS In unadjusted analyses, women with a history of cancer took fewer mean daily steps (4,572 (standard deviation 2557) vs 5,029 (2679) steps/day) and had lower mean moderate-to-vigorous PA (74.9 (45.0) vs. 81.6 (46.7) minutes/day) than cancer-free women. In adjusted analyses, for cancer and cancer-free women, age, diabetes, overweight, and obesity were inversely associated with all metrics of PA (average vector magnitude, time in moderate-to-vigorous PA, step volume, time at ≥40 steps/minutes, and peak 30-minute step cadence). In unadjusted analyses, mean SB was similar for those with and without cancer (529.7 (98.1) vs. 521.7 (101.2) minutes/day). In adjusted analyses, for cancer and cancer-free women, age, diabetes, cardiovascular disease, current smoking, overweight, and obesity were positive correlates of SB, while Black or Hispanic race/ethnicity, weekly/daily alcohol intake, and excellent/very good/good self-rated health were inverse correlates of SB. CONCLUSION Several sociodemographic, health, and chronic conditions were correlates of PA/SB for postmenopausal women with and without cancer. Future studies should examine longitudinal relationships to gain insight into potential determinants of PA/SB.
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Affiliation(s)
- Samantha Schilsky
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Annie Green Howard
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina Chapel Hill, Chapel Hill, North Carolina, United States of America
- Carolina Population Center, Gillings School of Global Public Health, University of North Carolina Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Christopher C. Moore
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Carmen C. Cuthbertson
- Department of Health Education and Promotion, East Carolina University, Greenville, North Carolina, United States of America
| | - Humberto Parada
- Division of Epidemiology and Biostatistics, School of Public Health, San Diego State University, San Diego, California, United States of America
- UC San Diego Health Moores Cancer Center, La Jolla, California, United States of America
| | - I-Min Lee
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Chongzhi Di
- Biostatistics Program, Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, United States of America
| | - Michael J. LaMonte
- Department of Epidemiology and Environmental Health, University of Buffalo, Buffalo, New York, United States of America
| | - Julie E. Buring
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Eric J. Shiroma
- Clinical Applications and Prevention Branch, National Institutes of Health, National Heart Lung Blood Institute, Bethesda, Maryland, United States of America
| | - Andrea Z. LaCroix
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, California, United States of America
| | - Kelly R. Evenson
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina Chapel Hill, Chapel Hill, North Carolina, United States of America
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Thai NQN, LaCroix AZ, Haring B, Wactawski-Wende J, Manson JE, Posis AIB, Shadyab AH. The association of leukocyte telomere length with exceptional longevity among older women. GeroScience 2024; 46:2083-2092. [PMID: 37843740 PMCID: PMC10828273 DOI: 10.1007/s11357-023-00964-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 09/25/2023] [Indexed: 10/17/2023] Open
Abstract
The association of leukocyte telomere length (LTL) with survival to late life with intact mobility has not been adequately studied. This prospective cohort study consisted of 1451 postmenopausal women from a Women's Health Initiative ancillary study, who were eligible, because of birth year, to survive to age 90 as of March 6, 2021. LTL was measured by Southern blot at baseline (1993-1998). Associations between LTL and survival to age 90 were evaluated using logistic regression models adjusted for socio-demographic characteristics, health factors, and lifestyle factors. Multinominal logistic regression was utilized to examine associations of LTL with survival to age 90 with or without intact mobility. Mediation analysis examined the extent to which incident coronary heart disease and stroke-mediated the association between LTL and longevity. Overall, 76.7% of women were White, and 23.3% were Black; average age at baseline was 70.4±3.5 years. Relative to death before age 90, the odds of survival to age 90 were 60% higher (OR, 1.60; 95% CI, 1.28-2.01), the odds of survival to age 90 with mobility limitation were 72% higher (OR, 1.72; 95% CI, 1.33-2.21), and the odds of survival to age 90 with intact mobility were 44% higher (OR, 1.44; 95% CI, 1.06-1.95) for every one kilobase longer LTL. Absence of CHD, stroke, or CHD/stroke mediated the association of LTL with survival to age 90 by 11.1%, 37.4%, and 31.3%, respectively; however, these findings were not significant. Longer LTL was associated with higher odds of survival to age 90 among older women.
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Affiliation(s)
- Nhat Quang N Thai
- UCSD-SDSU Joint-Doctoral Program in Public Health (Epidemiology), University of California, San Diego, La Jolla, CA, USA.
| | - Andrea Z LaCroix
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, USA
| | - Bernhard Haring
- Division of Cardiology, University Heart Center, Medical University of Graz, Auenbruggerplatz 15, 8036, Graz, Austria
| | - Jean Wactawski-Wende
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University of Buffalo - SUNY, Buffalo, NY, USA
| | - JoAnn E Manson
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, BA, Boston, MA, USA
| | - Alexander Ivan B Posis
- UCSD-SDSU Joint-Doctoral Program in Public Health (Epidemiology), University of California, San Diego, La Jolla, CA, USA
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, USA
| | - Aladdin H Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, USA
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LaMonte MJ, LaCroix AZ, Nguyen S, Evenson KR, Di C, Stefanick ML, Hyde ET, Anuskiewicz B, Eaton CB. Accelerometer-Measured Physical Activity, Sedentary Time, and Heart Failure Risk in Women Aged 63 to 99 Years. JAMA Cardiol 2024; 9:336-345. [PMID: 38381446 PMCID: PMC10882503 DOI: 10.1001/jamacardio.2023.5692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 12/27/2023] [Indexed: 02/22/2024]
Abstract
Importance Heart failure (HF) prevention is paramount to public health in the 21st century. Objective To examine incident HF and its subtypes with preserved ejection fraction (HFpEF) and reduced EF (HFrEF) according to accelerometer-measured physical activity (PA) and sedentary time. Design, Setting, and Participants This was a prospective cohort study, the Objective Physical Activity and Cardiovascular Health (OPACH) in Older Women study, conducted from March 2012 to April 2014. Included in the analysis were women aged 63 to 99 years without known HF, who completed hip-worn triaxial accelerometry for 7 consecutive days. Follow-up for incident HF occurred through February 2022. Data were analyzed from March to December 2023. Exposure Daily PA (total, light, moderate to vigorous PA [MVPA], steps) and sedentary (total, mean bout duration) behavior. Main Outcomes and Measures Adjudicated incident HF, HFpEF, and HFrEF. Results A total of 5951 women (mean [SD] age, 78.6 [6.8] years) without known HF were included in this analysis. Women self-identified with the following race and ethnicity categories: 2004 non-Hispanic Black (33.7%), 1022 Hispanic (17.2%), and 2925 non-Hispanic White (49.2%). There were 407 HF cases (257 HFpEF; 110 HFrEF) identified through a mean (SD) of 7.5 (2.6) years (range, 0.01-9.9 years) of follow-up. Fully adjusted hazard ratios (HRs) for overall HF, HFpEF, and HFrEF associated with a 1-SD increment were 0.85 (95% CI, 0.75-0.95), 0.78 (95% CI, 0.67-0.91), and 1.02 (95% CI, 0.81-1.28) for minutes per day total PA; 0.74 (95% CI, 0.63-0.88), 0.71 (95% CI, 0.57-0.88), and 0.83 (95% CI, 0.62-1.12) for steps per day; and 1.17 (95% CI, 1.04-1.33), 1.29 (95% CI, 1.10-1.51), and 0.94 (95% CI, 0.75-1.18) for minutes per day total sedentary. Cubic spline curves for overall HF and HFpEF were significant inverse for total PA and steps per day and positive for total sedentary. Light PA and MVPA were inversely associated with overall HF (HR per 1 SD: 0.88; 95% CI, 0.78-0.98 and 0.84; 95% CI, 0.73-0.97) and HFpEF (0.80; 95% CI, 0.70-0.93 and 0.85; 95% CI, 0.72-1.01) but not HFrEF. Associations did not meaningfully differ when stratified by age, race and ethnicity, body mass index, physical function, or comorbidity score. Results for sedentary bout duration were inconsistent. Conclusions and Relevance Higher accelerometer-measured PA (MVPA, light PA, steps per day) was associated with lower risk (and greater total sedentary time with higher risk) of overall HF and HFpEF in a racially and ethnically diverse cohort of older women. Increasing PA and reducing sedentary time for primary HFpEF prevention may have relevant implications for cardiovascular resilience and healthy aging in later life.
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Affiliation(s)
| | | | | | | | - Chongzhi Di
- Fred Hutchinson Cancer Center, Seattle, Washington
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Hickey M, LaCroix AZ, Doust J, Mishra GD, Sivakami M, Garlick D, Hunter MS. An empowerment model for managing menopause. Lancet 2024; 403:947-957. [PMID: 38458214 DOI: 10.1016/s0140-6736(23)02799-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Revised: 07/31/2023] [Accepted: 12/11/2023] [Indexed: 03/10/2024]
Abstract
Menopause eventually happens to all people with typically functioning ovaries, and almost one billion women worldwide are postmenopausal. Although the biology of typical menopause is ubiquitous, the experience varies substantially. Factors contributing to the experience include not only individual factors, such as the nature and severity of symptoms, but also psychological, social, and contextual considerations, many of which are modifiable. In this first paper in the Lancet Series on menopause, we argue for a new approach that goes beyond the treatment of specific symptoms, to encompass a broad model to support women transitioning this life stage, using the model of empowerment. WHO defines empowerment as an active process of gaining knowledge, confidence, and self-determination to self-manage health and make informed decisions about care. Rather than focusing on menopause as an endocrine deficiency, we propose an empowerment model that recognises factors modifying the experience, in which the patient is an expert in their own condition and the health-care worker supports the patient to become an equal and active partner in managing their own care.
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Affiliation(s)
- Martha Hickey
- Department of Obstetrics, Gynaecology and Newborn Health, University of Melbourne and the Royal Women's Hospital, Melbourne, VIC, Australia.
| | - Andrea Z LaCroix
- Department of Epidemiology, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, CA, USA
| | - Jennifer Doust
- Centre for Longitudinal and Life Course Research, School of Public Health, Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
| | - Gita D Mishra
- NHMRC Centre for Research Excellence in Women and NCDs, School of Public Health, University of Queensland, Brisbane, QLD, Australia
| | - Muthusamy Sivakami
- School of Health Systems Studies, Tata Institute of Social Sciences, Mumbai, India
| | | | - Myra S Hunter
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
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Nguyen S, Bellettiere J, Anuskiewicz B, Di C, Carlson J, Natarajan L, LaMonte MJ, LaCroix AZ. Prospective Associations of Accelerometer-Measured Machine-Learned Sedentary Behavior With Death Among Older Women: The OPACH Study. J Am Heart Assoc 2024; 13:e031156. [PMID: 38410939 PMCID: PMC10944026 DOI: 10.1161/jaha.123.031156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 11/14/2023] [Indexed: 02/28/2024]
Abstract
BACKGROUND Sedentary behavior is a recognized mortality risk factor. The novel and validated convolutional neural network hip accelerometer posture algorithm highly accurately classifies sitting and postural changes compared with accelerometer count cut points. We examined the prospective associations of convolutional neural network hip accelerometer posture-classified total sitting time and mean sitting bout duration with all-cause and cardiovascular disease (CVD) death. METHODS AND RESULTS Women (n=5856; mean±SD age, 79±7 years; 33% Black women, 17% Hispanic or Latina women, 50% White women) in the Women's Health Initiative Objective Physical Activity and Cardiovascular Health (OPACH) Study wore the ActiGraph GT3X+ for ~7 days from May 2012 to April 2014 and were followed through February 19, 2022 for all-cause and CVD death. The convolutional neural network hip accelerometer posture algorithm classified total sitting time and mean sitting bout duration from GT3X+ output. Over follow-up (median, 8.4 years; range, 0.1-9.9), there were 1733 deaths (632 from CVD). Adjusted Cox regression hazard ratios (HRs) comparing women in the highest total sitting time quartile (>696 min/d) to those in the lowest (<556.0 min/d) were 1.57 (95% CI; 1.35-1.83; P-trend<0.001) for all-cause death and 1.78 (95% CI; 1.36-2.31; P-trend<0.001) for CVD death. HRs comparing women in the longest mean sitting bout duration quartile (>15 minutes) to the shortest (<9.3 minutes) were 1.43 (95% CI; 1.23-1.66; P-trend<0.001) for all-cause death and 1.52 (95% CI; 1.18-1.96; P-trend<0.001) for CVD death. Apparent nonlinear associations for total sitting time suggested higher all-cause death (P nonlinear=0.009) and CVD death (P nonlinear=0.008) risk after ~660 to 700 min/d. CONCLUSIONS Higher total sitting time and longer mean sitting bout duration are associated with higher all-cause and CVD mortality risk among older women. These data support interventions aimed at reducing both total sitting time and interrupting prolonged sitting.
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Affiliation(s)
- Steve Nguyen
- Division of EpidemiologyHerbert Wertheim School of Public Health, University of California San DiegoLa JollaCAUSA
| | - John Bellettiere
- Division of EpidemiologyHerbert Wertheim School of Public Health, University of California San DiegoLa JollaCAUSA
| | - Blake Anuskiewicz
- Division of EpidemiologyHerbert Wertheim School of Public Health, University of California San DiegoLa JollaCAUSA
| | - Chongzhi Di
- Division of Public Health SciencesFred Hutchinson Cancer CenterSeattleWAUSA
| | - Jordan Carlson
- Center for Children’s Healthy Lifestyles and Nutrition, Children’s Mercy Kansas CityKansas CityMOUSA
| | - Loki Natarajan
- Division of EpidemiologyHerbert Wertheim School of Public Health, University of California San DiegoLa JollaCAUSA
| | - Michael J. LaMonte
- Department of Epidemiology and Environmental Health, School of Public Health and Health ProfessionsUniversity at Buffalo – SUNYBuffaloNYUSA
| | - Andrea Z. LaCroix
- Division of EpidemiologyHerbert Wertheim School of Public Health, University of California San DiegoLa JollaCAUSA
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Schumacher BT, LaMonte MJ, LaCroix AZ, Simonsick EM, Hooker SP, Parada H, Bellettiere J, Kumar A. Development, validation, and transportability of several machine-learned, non-exercise-based VO 2max prediction models for older adults. J Sport Health Sci 2024:S2095-2546(24)00021-8. [PMID: 38428731 DOI: 10.1016/j.jshs.2024.02.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 11/30/2023] [Accepted: 01/18/2024] [Indexed: 03/03/2024]
Abstract
PURPOSE There exist few maximal oxygen uptake (VO2max) non-exercise-based prediction equations, fewer using machine learning (ML), and none specifically for older adults. Since direct measurement of VO2max is infeasible in large epidemiologic cohort studies, we sought to develop, validate, compare, and assess the transportability of several ML VO2max prediction algorithms. METHODS The Baltimore Longitudinal Study of Aging (BLSA) participants with valid VO2max tests were included (n = 1080). Least absolute shrinkage and selection operator, linear- and tree-boosted extreme gradient boosting, random forest, and support vector machine (SVM) algorithms were trained to predict VO2max values. We developed these algorithms for: (a) for the overall BLSA, (b) by sex, (c) using all BLSA variables, and (d) for variables common in aging cohorts. Finally, we quantified the associations between measured and predicted VO2max and mortality. RESULTS The age was 69.0 ± 10.4 years (mean ± SD) and the measured VO2max was 21.6 ± 5.9 mL/kg/min. Least absolute shrinkage and selection operator, linear- and tree-boosted extreme gradient boosting, random forest, and support vector machine yielded root mean squared errors of 3.4 mL/kg/min, 3.6 mL/kg/min, 3.4 mL/kg/min, 3.6 mL/kg/min, and 3.5 mL/kg/min, respectively. Incremental quartiles of measured VO2max showed an inverse gradient in mortality risk. Predicted VO2max variables yielded similar effect estimates but were not robust to adjustment. CONCLUSION Measured VO2max is a strong predictor of mortality. Using ML can improve the accuracy of prediction as compared to simpler approaches but estimates of association with mortality remain sensitive to adjustment. Future studies should seek to reproduce these results so that VO2max, an important vital sign, can be more broadly studied as a modifiable target for promoting functional resiliency and healthy aging.
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Affiliation(s)
- Benjamin T Schumacher
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA 92093, USA.
| | - Michael J LaMonte
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo-State University of New York, Buffalo, NY 14214, USA
| | - Andrea Z LaCroix
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA 92093, USA
| | - Eleanor M Simonsick
- Translational Gerontology Branch, Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, MD 21225, USA
| | - Steven P Hooker
- College of Health and Human Services, San Diego State University, San Diego, CA 92182, USA
| | - Humberto Parada
- Division of Epidemiology and Biostatistics, School of Public Health, San Diego State University, San Diego, CA 92182, USA; University of California San Diego Moores Cancer Center, La Jolla, CA 92093, USA
| | - John Bellettiere
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA 92093, USA
| | - Arun Kumar
- Computer Science and Engineering and Halicioglu Data Science Institute, University of California San Diego, La Jolla, CA 92093, USA
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11
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Wolfson EA, Schonberg MA, Eliassen AH, Bertrand KA, Shvetsov YB, Rosner BA, Palmer JR, LaCroix AZ, Chlebowski RT, Nelson RA, Ngo LH. Validating a model for predicting breast cancer and nonbreast cancer death in women aged 55 years and older. J Natl Cancer Inst 2024; 116:81-96. [PMID: 37676833 PMCID: PMC10777669 DOI: 10.1093/jnci/djad188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 07/24/2023] [Accepted: 08/29/2023] [Indexed: 09/09/2023] Open
Abstract
BACKGROUND To support mammography screening decision making, we developed a competing-risk model to estimate 5-year breast cancer risk and 10-year nonbreast cancer death for women aged 55 years and older using Nurses' Health Study data and examined model performance in the Black Women's Health Study (BWHS). Here, we examine model performance in predicting 10-year outcomes in the BWHS, Women's Health Initiative-Extension Study (WHI-ES), and Multiethnic Cohort (MEC) and compare model performance to existing breast cancer prediction models. METHODS We used competing-risk regression and Royston and Altman methods for validating survival models to calculate our model's calibration and discrimination (C index) in BWHS (n = 17 380), WHI-ES (n = 106 894), and MEC (n = 49 668). The Nurses' Health Study development cohort (n = 48 102) regression coefficients were applied to the validation cohorts. We compared our model's performance with breast cancer risk assessment tool (Gail) and International Breast Cancer Intervention Study (IBIS) models by computing breast cancer risk estimates and C statistics. RESULTS When predicting 10-year breast cancer risk, our model's C index was 0.569 in BWHS, 0.572 in WHI-ES, and 0.576 in MEC. The Gail model's C statistic was 0.554 in BWHS, 0.564 in WHI-ES, and 0.551 in MEC; IBIS's C statistic was 0.547 in BWHS, 0.552 in WHI-ES, and 0.562 in MEC. The Gail model underpredicted breast cancer risk in WHI-ES; IBIS underpredicted breast cancer risk in WHI-ES and in MEC but overpredicted breast cancer risk in BWHS. Our model calibrated well. Our model's C index for predicting 10-year nonbreast cancer death was 0.760 in WHI-ES and 0.763 in MEC. CONCLUSIONS Our competing-risk model performs as well as existing breast cancer prediction models in diverse cohorts and predicts nonbreast cancer death. We are developing a website to disseminate our model.
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Affiliation(s)
- Emily A Wolfson
- Division of General Medicine and Primary Care, Department of Medicine, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Mara A Schonberg
- Division of General Medicine and Primary Care, Department of Medicine, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - A Heather Eliassen
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Harvard School of Public Health, Boston, MA, USA
| | - Kimberly A Bertrand
- Slone Epidemiology Center at Boston University and Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Yurii B Shvetsov
- University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, USA
| | - Bernard A Rosner
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Harvard School of Public Health, Boston, MA, USA
| | - Julie R Palmer
- Slone Epidemiology Center at Boston University and Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Andrea Z LaCroix
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | | | - Rebecca A Nelson
- Department of Computational and Quantitative Medicine, City of Hope, Duarte, CA, USA
| | - Long H Ngo
- Division of General Medicine and Primary Care, Department of Medicine, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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12
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Tam RM, Zablocki RW, Liu C, Narayan HK, Natarajan L, LaCroix AZ, Dillon L, Sakoulas E, Hartman SJ. Feasibility of a Health Coach Intervention to Reduce Sitting Time and Improve Physical Functioning Among Breast Cancer Survivors: Pilot Intervention Study. JMIR Cancer 2023; 9:e49934. [PMID: 38113082 PMCID: PMC10762618 DOI: 10.2196/49934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 11/16/2023] [Accepted: 11/23/2023] [Indexed: 12/21/2023] Open
Abstract
BACKGROUND Sedentary behavior among breast cancer survivors is associated with increased risk of poor physical function and worse quality of life. While moderate to vigorous physical activity can improve outcomes for cancer survivors, many are unable to engage in that intensity of physical activity. Decreasing sitting time may be a more feasible behavioral target to potentially mitigate the impact of cancer and its treatments. OBJECTIVE The purpose of this study was to investigate the feasibility and preliminary impact of an intervention to reduce sitting time on changes to physical function and quality of life in breast cancer survivors, from baseline to a 3-month follow-up. METHODS Female breast cancer survivors with self-reported difficulties with physical function received one-on-one, in-person personalized health coaching sessions aimed at reducing sitting time. At baseline and follow-up, participants wore the activPAL (thigh-worn accelerometer; PAL Technologies) for 3 months and completed physical function tests (4-Meter Walk Test, Timed Up and Go, and 30-Second Chair Stand) and Patient-Reported Outcomes Measurement Information System (PROMIS) self-reported outcomes. Changes in physical function and sedentary behavior outcomes were assessed by linear mixed models. RESULTS On average, participants (n=20) were aged 64.5 (SD 9.4) years; had a BMI of 30.4 (SD 4.5) kg/m2; and identified as Black or African American (n=3, 15%), Hispanic or Latina (n=4, 20%), and non-Hispanic White (n=14, 55%). Average time since diagnosis was 5.8 (SD 2.2) years with participants receiving chemotherapy (n=8, 40%), radiotherapy (n=18, 90%), or endocrine therapy (n=17, 85%). The intervention led to significant reductions in sitting time: activPAL average daily sitting time decreased from 645.7 (SD 72.4) to 532.7 (SD 142.1; β=-112.9; P=.001) minutes and average daily long sitting bouts (bout length ≥20 min) decreased from 468.3 (SD 94.9) to 366.9 (SD 150.4; β=-101.4; P=.002) minutes. All physical function tests had significant improvements: on average, 4-Meter Walk Test performance decreased from 4.23 (SD 0.95) to 3.61 (SD 2.53; β=-.63; P=.002) seconds, Timed Up and Go performance decreased from 10.30 (SD 3.32) to 8.84 (SD 1.58; β=-1.46; P=.003) seconds, and 30-Second Chair Stand performance increased from 9.75 (SD 2.81) to 13.20 completions (SD 2.53; β=3.45; P<.001). PROMIS self-reported physical function score improved from 44.59 (SD 4.40) to 47.12 (SD 5.68; β=2.53; P=.05) and average fatigue decreased from 52.51 (SD 10.38) to 47.73 (SD 8.43; β=-4.78; P=.02). CONCLUSIONS This 3-month pilot study suggests that decreasing time spent sitting may be helpful for breast cancer survivors experiencing difficulties with physical function and fatigue. Reducing sitting time is a novel and potentially more feasible approach to improving health and quality of life in cancer survivors.
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Affiliation(s)
- Rowena M Tam
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, United States
| | - Rong W Zablocki
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, United States
| | - Chenyu Liu
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, United States
| | - Hari K Narayan
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, United States
- UC San Diego Moores Cancer Center, University of California San Diego, La Jolla, CA, United States
| | - Loki Natarajan
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, United States
- UC San Diego Moores Cancer Center, University of California San Diego, La Jolla, CA, United States
| | - Andrea Z LaCroix
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, United States
| | - Lindsay Dillon
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, United States
| | - Eleanna Sakoulas
- UC San Diego Moores Cancer Center, University of California San Diego, La Jolla, CA, United States
| | - Sheri J Hartman
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, United States
- UC San Diego Moores Cancer Center, University of California San Diego, La Jolla, CA, United States
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13
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Shadyab AH, Manson JE, Allison MA, Laddu D, Wassertheil-Smoller S, Van Horn L, Wild RA, Banack HR, Tabung FK, Haring B, Sun Y, LeBlanc ES, Wactawski-Wende J, LeBoff MS, Naughton MJ, Luo J, Schnatz PF, Natale G, Ostfeld RJ, LaCroix AZ. Association of Later-Life Weight Changes With Survival to Ages 90, 95, and 100: The Women's Health Initiative. J Gerontol A Biol Sci Med Sci 2023; 78:2264-2273. [PMID: 37642339 PMCID: PMC10692416 DOI: 10.1093/gerona/glad177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Indexed: 08/31/2023] Open
Abstract
BACKGROUND Associations of weight changes and intentionality of weight loss with longevity are not well described. METHODS Using longitudinal data from the Women's Health Initiative (N = 54 437; 61-81 years), we examined associations of weight changes and intentionality of weight loss with survival to ages 90, 95, and 100. Weight was measured at baseline, year 3, and year 10, and participants were classified as having weight loss (≥5% decrease from baseline), weight gain (≥5% increase from baseline), or stable weight (<5% change from baseline). Participants reported intentionality of weight loss at year 3. RESULTS A total of 30 647 (56.3%) women survived to ≥90 years. After adjustment for relevant covariates, 3-year weight loss of ≥5% vs stable weight was associated with lower odds of survival to ages 90 (OR, 0.67; 95% CI, 0.64-0.71), 95 (OR, 0.65; 95% CI, 0.60-0.71), and 100 (OR, 0.62; 95% CI, 0.49-0.78). Compared to intentional weight loss, unintentional weight loss was more strongly associated with lower odds of survival to age 90 (OR, 0.83; 95% CI, 0.74-0.94 and OR, 0.49; 95% CI, 0.44-0.55, respectively). Three-year weight gain of ≥5% vs stable weight was not associated with survival to age 90, 95, or 100. The pattern of results was similar among normal weight, overweight, and obese women in body mass index (BMI)-stratified analyses. CONCLUSIONS Weight loss of ≥5% vs stable weight was associated with lower odds of longevity, more strongly for unintentional weight loss than for intentional weight loss. Potential inaccuracy of self-reported intentionality of weight loss and residual confounding were limitations.
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Affiliation(s)
- Aladdin H Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, California, USA
| | - JoAnn E Manson
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Matthew A Allison
- Department of Family Medicine, School of Medicine, University of California, San Diego, La Jolla, California, USA
| | - Deepika Laddu
- Department of Physical Therapy, College of Applied Science, University of Illinois Chicago, Chicago, Illinois, USA
| | - Sylvia Wassertheil-Smoller
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Linda Van Horn
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Robert A Wild
- Division of Reproductive Endocrinology and Infertility, Departments of Obstetrics and Gynecology, and Biostatistics and Epidemiology, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - Hailey R Banack
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Fred K Tabung
- Division of Medical Oncology, Department of Internal Medicine, College of Medicine and Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, USA
| | - Bernhard Haring
- Department of Medicine III, Saarland University Hospital, Homburg, Saarland, Germany
- Department of Medicine I, University of Wurzburg, Wurzburg, Germany
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Yangbo Sun
- Department of Preventive Medicine, College of Medicine, The University of Tennessee Health Science Center, Memphis, Tennessee, USA
| | - Erin S LeBlanc
- Kaiser Permanente, Center for Health Research, Portland, Oregon, USA
| | - Jean Wactawski-Wende
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo – SUNY, Buffalo, New York, USA
| | - Meryl S LeBoff
- Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Michelle J Naughton
- Division of Cancer Prevention and Control, Department of Internal Medicine, The Ohio State University, Columbus, Ohio, USA
| | - Juhua Luo
- Department of Epidemiology and Biostatistics, School of Public Health, Indiana University Bloomington, Bloomington, Indiana, USA
| | - Peter F Schnatz
- Department of Obstetrics/Gynecology and Internal Medicine, Reading Hospital/Tower Health, West Reading, Pennsylvania, USA
| | - Ginny Natale
- Department of Family, Population, and Preventive Medicine, Program in Public Health, Stony Brook University, Stony Brook, New York, USA
| | - Robert J Ostfeld
- Division of Cardiology, Montefiore Health System, Bronx, New York, USA
| | - Andrea Z LaCroix
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, California, USA
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Kilpela LS, Marshall VB, Keel PK, LaCroix AZ, Espinoza SE, Hooper SC, Musi N. Correction: the clinical significance of binge eating among older adult women: an investigation into health correlates, psychological wellbeing, and quality of life. J Eat Disord 2023; 11:203. [PMID: 37968703 PMCID: PMC10648719 DOI: 10.1186/s40337-023-00928-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2023] Open
Affiliation(s)
- Lisa Smith Kilpela
- Barshop Institute, UT Health San Antonio, San Antonio, TX, USA.
- ReACHCenter, UT Health San Antonio, San Antonio, TX, USA.
- South Texas VA Health System, Audie Murphy Veterans Hospital, San Antonio, TX, USA.
| | - Victoria B Marshall
- Barshop Institute, UT Health San Antonio, San Antonio, TX, USA
- ReACHCenter, UT Health San Antonio, San Antonio, TX, USA
| | - Pamela K Keel
- Department of Psychology, Florida State University, Tallahassee, FL, USA
| | - Andrea Z LaCroix
- Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, San Diego, CA, USA
| | - Sara E Espinoza
- Barshop Institute, UT Health San Antonio, San Antonio, TX, USA
- South Texas VA Health System, Audie Murphy Veterans Hospital, San Antonio, TX, USA
| | - Savannah C Hooper
- Barshop Institute, UT Health San Antonio, San Antonio, TX, USA
- ReACHCenter, UT Health San Antonio, San Antonio, TX, USA
| | - Nicolas Musi
- Barshop Institute, UT Health San Antonio, San Antonio, TX, USA
- South Texas VA Health System, Audie Murphy Veterans Hospital, San Antonio, TX, USA
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15
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Hibbing PR, Carlson JA, Steel C, Greenwood-Hickman MA, Nakandala S, Jankowska MM, Bellettiere J, Zou J, LaCroix AZ, Kumar A, Katzmarzyk PT, Natarajan L. Low movement, deep-learned sitting patterns, and sedentary behavior in the International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE). Int J Obes (Lond) 2023; 47:1100-1107. [PMID: 37580374 PMCID: PMC10714872 DOI: 10.1038/s41366-023-01364-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 07/27/2023] [Accepted: 08/08/2023] [Indexed: 08/16/2023]
Abstract
BACKGROUND/OBJECTIVES Sedentary behavior (SB) has both movement and postural components, but most SB research has only assessed low movement, especially in children. The purpose of this study was to compare estimates and health associations of SB when derived from a standard accelerometer cut-point, a novel sitting detection technique (CNN Hip Accelerometer Posture for Children; CHAP-Child), and both combined. METHODS Data were from the International Study of Childhood Obesity, Lifestyle, and the Environment (ISCOLE). Participants were 6103 children (mean ± SD age 10.4 ± 0.56 years) from 12 countries who wore an ActiGraph GT3X+ accelerometer on the right hip for approximately one week. We calculated SB time, mean SB bout duration, and SB breaks using a cut-point (SBmovement), CHAP-Child (SBposture), and both methods combined (SBcombined). Mixed effects regression was used to test associations of SB variables with pediatric obesity variables (waist circumference, body fat percentage, and body mass index z-score). RESULTS After adjusting for MVPA, SBposture showed several significant obesity associations favoring lower mean SB bout duration (b = 0.251-0.449; all p < 0.001) and higher SB breaks (b = -0.005--0.052; all p < 0.001). Lower total SB was unexpectedly related to greater obesity (b = -0.077--0.649; p from <0.001-0.02). For mean SB bout duration and SB breaks, more associations were observed for SBposture (n = 5) than for SBmovement (n = 3) or SBcombined (n = 1), and tended to have larger magnitude as well. CONCLUSIONS Using traditional measures of low movement as a surrogate for SB may lead to underestimated or undetected adverse associations between SB and obesity. CHAP-Child allows assessment of sitting posture using hip-worn accelerometers. Ongoing work is needed to understand how low movement and posture are related to one another, as well as their potential health implications.
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Affiliation(s)
- Paul R Hibbing
- Department of Kinesiology and Nutrition, University of Illinois Chicago, Chicago, IL, USA.
- Center for Children's Healthy Lifestyles & Nutrition, Children's Mercy Kansas City, Kansas City, MO, USA.
| | - Jordan A Carlson
- Center for Children's Healthy Lifestyles & Nutrition, Children's Mercy Kansas City, Kansas City, MO, USA
- Department of Pediatrics, University of Missouri Kansas City, Kansas City, MO, USA
| | - Chelsea Steel
- Center for Children's Healthy Lifestyles & Nutrition, Children's Mercy Kansas City, Kansas City, MO, USA
| | | | - Supun Nakandala
- Databricks Inc, San Francisco, CA, USA
- Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, USA
| | - Marta M Jankowska
- Beckman Research Institute, Population Sciences, City of Hope, Duarte, CA, USA
| | - John Bellettiere
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Jingjing Zou
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Andrea Z LaCroix
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Arun Kumar
- Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, USA
| | | | - Loki Natarajan
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
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16
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Harlow SD, Sievert LL, LaCroix AZ, Mishra GD, Woods NF. Women's midlife health: the unfinished research agenda. Womens Midlife Health 2023; 9:7. [PMID: 37784201 PMCID: PMC10546728 DOI: 10.1186/s40695-023-00090-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023] Open
Affiliation(s)
- Sioban D Harlow
- Department of Epidemiology, University of Michigan, 1415 Washington Heights, Ann Arbor, MI, 48109-2029, USA.
| | | | - Andrea Z LaCroix
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, San Diego, USA
| | - Gita D Mishra
- Australian Women and Girls' Health Research Center, School of Public Health, University of Queensland, Seattle, Australia
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17
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Kilpela LS, Marshall VB, Hooper SC, Becker CB, Keel PK, LaCroix AZ, Musi N, Espinoza SE. Binge eating age of onset, frequency, and associated emotional distress among women aged 60 years and over. Eat Disord 2023; 31:479-486. [PMID: 37039323 PMCID: PMC10876154 DOI: 10.1080/10640266.2023.2192600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/12/2023]
Abstract
Emerging research indicates that binge eating is prevalent among older adult women. This study explored the characteristics of older women (aged 60+ years) with objective binge episodes (OBE) in later-life, including age of onset, distress, and frequency of OBE. Data consist of telephone clinical interviews conducted with individuals presenting for participation in a biomedical study of older women with OBE to establish inclusion criteria. Of 71 participants interviewed, 77.5% met DSM-5 criteria for OBE (≥1/week for ≥3 months); 33.3% reported OBE onset before age 40, 17.9% reported midlife onset (ages 40-55), and 48.7% reported late-life onset (56+). Regarding distress, older women with OBE in later-life reported themes of age-related self-blame surrounding eating, loss of control, and cognitive fixation on satiation. Among older women with OBE in later-life, onset in mid- to later-life may be relatively common. Furthermore, distress regarding OBEs was significant, highlighting the need for intervention research among this population.
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Affiliation(s)
- Lisa Smith Kilpela
- Barshop Institute, UT Health San Antonio, San Antonio, USA
- Reach Center, UT Health San Antonio, San Antoni, USA
- South Texas VA Health System, Audie Murphy Veterans Hospital, San Antoni, USA
| | - Victoria B. Marshall
- Barshop Institute, UT Health San Antonio, San Antonio, USA
- Reach Center, UT Health San Antonio, San Antoni, USA
| | - Savannah C. Hooper
- Barshop Institute, UT Health San Antonio, San Antonio, USA
- Reach Center, UT Health San Antonio, San Antoni, USA
| | | | - Pamela K. Keel
- Department of Psychology, Florida State University, Tallahassee, FL, USA
| | - Andrea Z. LaCroix
- Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, San Diego, USA
| | - Nicolas Musi
- Barshop Institute, UT Health San Antonio, San Antonio, USA
- South Texas VA Health System, Audie Murphy Veterans Hospital, San Antoni, USA
| | - Sara E. Espinoza
- Barshop Institute, UT Health San Antonio, San Antonio, USA
- South Texas VA Health System, Audie Murphy Veterans Hospital, San Antoni, USA
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18
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Evenson KR, Wen F, Moore CC, LaMonte MJ, Lee IM, LaCroix AZ, Di C. Calibrating Physical Activity and Sedentary Behavior for Hip-Worn Accelerometry in Older Women With Two Epoch Lengths: The Women's Health Initiative Objective Physical Activity and Cardiovascular Health Calibration Study. J Meas Phys Behav 2023; 6:156-161. [PMID: 38037607 PMCID: PMC10688383 DOI: 10.1123/jmpb.2022-0036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/02/2023]
Abstract
Purpose The purpose of this study was to develop 60-second epoch accelerometer intensity cutpoints for vertical axis count and vector magnitude (VM) output from hip-worn tri-axial accelerometers among women 60-91 years. We also compared these cutpoints against cutpoints derived by multiplying 15-second epoch cutpoints by four. Methods Two hundred apparently healthy women wore an ActiGraph GT3X+ accelerometer on their hip while performing a variety of laboratory-based activities that were sedentary (watching television, assembling a puzzle), low light (washing/drying dishes), high light (laundry, dust mopping), or MVPA (400-meter walk) intensity. Oxygen uptake was measured using an Oxycon™ portable calorimeter. Sedentary behavior and physical activity intensity cutpoints for vertical axis and VM counts were derived for 60-second epochs from receiver operating characteristic (ROC) and by multiplying the 15-second cutpoints by four); both were compared to oxygen uptake. Results The median age was 74.5 years (interquartile range 70-83). The 60-second epoch cutpoints for vertical counts were 0 sedentary, 1-73 low light, 74-578 high light, and >=579 MVPA. The 60-second epoch cutpoints for VM were 0-88 sedentary, 89-663 low light, 664-1730 high light, and >=1731 MVPA. For both sets of cutpoints, the ROC approach yielded more accurate estimates than the multiplication approach. Conclusion The derived 60-second epoch cutpoints for vertical counts and VM can be applied to epidemiologic studies to define sedentary behavior and physical activity intensities in older adult populations.
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Affiliation(s)
- Kelly R. Evenson
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina – Chapel Hill, Chapel Hill, North Carolina, United States
| | - Fang Wen
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina – Chapel Hill, Chapel Hill, North Carolina, United States
| | - Christopher C. Moore
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina – Chapel Hill, Chapel Hill, North Carolina, United States
| | - Michael J. LaMonte
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo – SUNY, Buffalo, New York, United States
| | - I-Min Lee
- Division of Preventive Medicine, Brigham & Women’s Hospital, Harvard Medical School, Boston, MA; Department of Epidemiology, Harvard T.H. Chan School of Public Health
| | - Andrea Z. LaCroix
- Division of Epidemiology, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, California, United States
| | - Chongzhi Di
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington, United States
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19
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Hyde ET, LaCroix AZ, Evenson KR, Howard AG, Anuskiewicz B, Di C, Bellettiere J, LaMonte MJ, Manson JE, Buring JE, Shiroma EJ, Lee IM, Parada H. Accelerometer-measured physical activity and postmenopausal breast cancer incidence in the Women's Health Accelerometry Collaboration. Cancer 2023; 129:1579-1590. [PMID: 36812131 PMCID: PMC10133094 DOI: 10.1002/cncr.34699] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 01/09/2023] [Accepted: 01/13/2023] [Indexed: 02/24/2023]
Abstract
BACKGROUND Few studies have examined accelerometer-measured physical activity and incident breast cancer (BC). Thus, this study examined associations between accelerometer-measured vector magnitude counts per 15 seconds (VM/15s) and average daily minutes of light physical activity (LPA), moderate-to-vigorous PA (MVPA), and total PA (TPA) and BC risk among women in the Women's Health Accelerometry Collaboration (WHAC). METHODS The WHAC comprised 21,089 postmenopausal women (15,375 from the Women's Health Study [WHS]; 5714 from the Women's Health Initiative Objective Physical Activity and Cardiovascular Health Study [OPACH]). Women wore an ActiGraph GT3X+ on the hip for ≥4 days and were followed for 7.4 average years to identify physician-adjudicated in situ (n = 94) or invasive (n = 546) BCs. Multivariable stratified Cox regression estimated hazard ratios (HRs) and 95% confidence intervals (CIs) for tertiles of physical activity measures in association with incident BC overall and by cohort. Effect measure modification was examined by age, race/ethnicity, and body mass index (BMI). RESULTS In covariate-adjusted models, the highest (vs. lowest) tertiles of VM/15s, TPA, LPA, and MVPA were associated with BC HRs of 0.80 (95% CI, 0.64-0.99), 0.84 (95% CI, 0.69-1.02), 0.89 (95% CI, 0.73-1.08), and 0.81 (95% CI, 0.64-1.01), respectively. Further adjustment for BMI or physical function attenuated these associations. Associations were more pronounced among OPACH than WHS women for VM/15s, MVPA, and TPA; younger than older women for MVPA; and women with BMI ≥30 than <30 kg/m2 for LPA. CONCLUSION Greater levels of accelerometer-assessed PA were associated with lower BC risk. Associations varied by age and obesity and were not independent of BMI or physical function.
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Affiliation(s)
- Eric T. Hyde
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, San Diego, California, USA
- Division of Epidemiology and Biostatistics, School of Public Health, San Diego State University, San Diego, California, USA
| | - Andrea Z. LaCroix
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, San Diego, California, USA
| | - Kelly R. Evenson
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Annie Green Howard
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
- Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Blake Anuskiewicz
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, San Diego, California, USA
| | - Chongzhi Di
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | - John Bellettiere
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, San Diego, California, USA
| | - Michael J. LaMonte
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo-SUNY, Buffalo, New York, USA
| | - JoAnn E. Manson
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Julie E. Buring
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Eric J. Shiroma
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, NIH, Bethesda, Maryland, USA
| | - I-Min Lee
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Humberto Parada
- Division of Epidemiology and Biostatistics, School of Public Health, San Diego State University, San Diego, California, USA
- UC San Diego Health Moores Cancer Center, La Jolla, California, USA
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20
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Posis AIB, Bellettiere J, Salem RM, LaMonte MJ, Manson JE, Casanova R, LaCroix AZ, Shadyab AH. Associations of Accelerometer-Measured Physical Activity and Sedentary Time With All-Cause Mortality by Genetic Predisposition for Longevity. J Aging Phys Act 2023; 31:265-275. [PMID: 36002033 PMCID: PMC9950283 DOI: 10.1123/japa.2022-0067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 07/08/2022] [Accepted: 07/20/2022] [Indexed: 11/18/2022]
Abstract
The goal of this study was to examine associations between accelerometer-measured physical activity (PA) and sedentary time (ST) with mortality by a genetic risk score (GRS) for longevity. Among 5,446 women, (mean [SD]: age, 78.2 [6.6] years), 1,022 deaths were observed during 33,350 person-years of follow-up. Using multivariable Cox proportional hazards models, higher light PA and moderate to vigorous PA were associated with lower mortality across all GRS for longevity categories (low/medium/high; all ptrend < .001). Higher ST was associated with higher mortality (ptrend across all GRS categories < .001). Interaction tests for PA and ST with the GRS were not statistically significant. Findings support the importance of higher PA and lower ST for reducing mortality risk in older women, regardless of genetic predisposition for longevity.
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Affiliation(s)
- Alexander Ivan B. Posis
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
- School of Public Health, San Diego State University, San Diego, CA, USA
| | - John Bellettiere
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Rany M. Salem
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Michael J. LaMonte
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, State University of New York at Buffalo, Buffalo, NY, USA
| | - JoAnn E. Manson
- Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, MA, USA
| | - Ramon Casanova
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston Salem, NC, USA
| | - Andrea Z. LaCroix
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Aladdin H. Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
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21
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Wu Y, Rosenberg DE, Greenwood-Hickman MA, McCurry SM, Proust-Lima C, Nelson JC, Crane PK, LaCroix AZ, Larson EB, Shaw PA. Analysis of the 24-h activity cycle: An illustration examining the association with cognitive function in the Adult Changes in Thought study. Front Psychol 2023; 14:1083344. [PMID: 37057157 PMCID: PMC10087899 DOI: 10.3389/fpsyg.2023.1083344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 02/07/2023] [Indexed: 03/30/2023] Open
Abstract
The 24-h activity cycle (24HAC) is a new paradigm for studying activity behaviors in relation to health outcomes. This approach inherently captures the interrelatedness of the daily time spent in physical activity (PA), sedentary behavior (SB), and sleep. We describe three popular approaches for modeling outcome associations with the 24HAC exposure. We apply these approaches to assess an association with a cognitive outcome in a cohort of older adults, discuss statistical challenges, and provide guidance on interpretation and selecting an appropriate approach. We compare the use of the isotemporal substitution model (ISM), compositional data analysis (CoDA), and latent profile analysis (LPA) to analyze 24HAC. We illustrate each method by exploring cross-sectional associations with cognition in 1,034 older adults (Mean age = 77; Age range = 65-100; 55.8% female; 90% White) who were part of the Adult Changes in Thought (ACT) Activity Monitoring (ACT-AM) sub-study. PA and SB were assessed with thigh-worn activPAL accelerometers for 7-days. For each method, we fit a multivariable regression model to examine the cross-sectional association between the 24HAC and Cognitive Abilities Screening Instrument item response theory (CASI-IRT) score, adjusting for baseline characteristics. We highlight differences in assumptions and the scientific questions addressable by each approach. ISM is easiest to apply and interpret; however, the typical ISM assumes a linear association. CoDA uses an isometric log-ratio transformation to directly model the compositional exposure but can be more challenging to apply and interpret. LPA can serve as an exploratory analysis tool to classify individuals into groups with similar time-use patterns. Inference on associations of latent profiles with health outcomes need to account for the uncertainty of the LPA classifications, which is often ignored. Analyses using the three methods did not suggest that less time spent on SB and more in PA was associated with better cognitive function. The three standard analytical approaches for 24HAC each have advantages and limitations, and selection of the most appropriate method should be guided by the scientific questions of interest and applicability of each model's assumptions. Further research is needed into the health implications of the distinct 24HAC patterns identified in this cohort.
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Affiliation(s)
- Yinxiang Wu
- Biostatistics Division, Kaiser Permanente Washington Health Research Institute, Seattle, WA, United States
- Department of Biostatistics, University of Washington, Seattle, WA, United States
| | - Dori E. Rosenberg
- Investigative Sciences Division, Kaiser Permanente Washington Health Research Institute, Seattle, WA, United States
| | | | - Susan M. McCurry
- School of Nursing, University of Washington, Seattle, WA, United States
| | | | - Jennifer C. Nelson
- Biostatistics Division, Kaiser Permanente Washington Health Research Institute, Seattle, WA, United States
| | - Paul K. Crane
- Department of Medicine, University of Washington, Seattle, WA, United States
| | - Andrea Z. LaCroix
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, San Diego, CA, United States
| | - Eric B. Larson
- Department of Medicine, University of Washington, Seattle, WA, United States
| | - Pamela A. Shaw
- Biostatistics Division, Kaiser Permanente Washington Health Research Institute, Seattle, WA, United States
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22
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Cespedes Feliciano EM, Vasan S, Luo J, Binder AM, Chlebowski RT, Quesenberry C, Banack HR, Caan BJ, Paskett ED, Williams GR, Barac A, LaCroix AZ, Peters U, Reding KW, Pan K, Shadyab AH, Qi L, Anderson GL. Long-term Trajectories of Physical Function Decline in Women With and Without Cancer. JAMA Oncol 2023; 9:395-403. [PMID: 36656572 PMCID: PMC9857739 DOI: 10.1001/jamaoncol.2022.6881] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 10/05/2022] [Indexed: 01/20/2023]
Abstract
Importance Patients with cancer experience acute declines in physical function, hypothesized to reflect accelerated aging driven by cancer-related symptoms and effects of cancer therapies. No study has examined long-term trajectories of physical function by cancer site, stage, or treatment compared with cancer-free controls. Objective Examine trajectories of physical function a decade before and after cancer diagnosis among older survivors and cancer-free controls. Design, Setting, and Participants This prospective cohort study enrolled patients from 1993 to 1998 and followed up until December 2020. The Women's Health Initiative, a diverse cohort of postmenopausal women, included 9203 incident cancers (5989 breast, 1352 colorectal, 960 endometrial, and 902 lung) matched to up to 5 controls (n = 45 358) on age/year of enrollment and study arm. Exposures Cancer diagnosis (site, stage, and treatment) via Medicare and medical records. Main Outcomes and Measures Trajectories of self-reported physical function (RAND Short Form 36 [RAND-36] scale; range: 0-100, higher scores indicate superior physical function) estimated from linear mixed effects models with slope changes at diagnosis and 1-year after diagnosis. Results This study included 9203 women with cancer and 45 358 matched controls. For the women with cancer, the mean (SD) age at diagnosis was 73.0 (7.6) years. Prediagnosis, physical function declines of survivors with local cancers were similar to controls; after diagnosis, survivors experienced accelerated declines relative to controls, whose scores declined 1 to 2 points per year. Short-term declines in the year following diagnosis were most severe in women with regional disease (eg, -5.3 [95% CI, -6.4 to -4.3] points per year in regional vs -2.8 [95% CI, -3.4 to -2.3] for local breast cancer) or who received systemic therapy (eg, for local endometrial cancer, -7.9 [95% CI, -12.2 to -3.6] points per year with any chemotherapy; -3.1 [95% CI, -6.0 to -0.3] with radiation therapy alone; and -2.6 [95% CI, -4.2 to -1.0] with neither, respectively). While rates of physical function decline slowed in the later postdiagnosis period (eg, women with regional colorectal cancer declined -4.3 [95% CI, -5.9 to -2.6] points per year in the year following diagnosis vs -1.4 [95% CI, -1.7 to -1.0] points per year in the decade thereafter), survivors had estimated physical function significantly below that of age-matched controls 5 years after diagnosis. Conclusions and Relevance In this prospective cohort study, survivors of cancer experienced accelerated declines in physical function after diagnosis, and physical function remained below that of age-matched controls even years later. Patients with cancer may benefit from supportive interventions to preserve physical functioning.
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Affiliation(s)
| | - Sowmya Vasan
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Juhua Luo
- Department of Epidemiology and Biostatistics, School of Public Health, University of Indiana at Bloomington, Bloomington
| | - Alexandra M. Binder
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu
- Department of Epidemiology, University of California, Los Angeles
| | | | | | - Hailey R. Banack
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, New York
- Epidemiology Division, University of Toronto Dalla Lana School of Public Health, Toronto, Ontario, Canada
| | - Bette J. Caan
- Kaiser Permanente Northern California Division of Research, Oakland
| | - Electra D. Paskett
- Division of Cancer Prevention and Control, College of Medicine, The Ohio State University, Columbus
| | - Grant R. Williams
- Institute for Cancer Outcomes and Survivorship, School of Medicine, The University of Alabama at Birmingham, Birmingham
| | - Ana Barac
- Cardio-Oncology Program, MedStar Heart and Vascular Institute, Georgetown University School of Medicine, Washington, DC
| | - Andrea Z. LaCroix
- Family Medicine and Public Health, School of Medicine, University of California, San Diego, La Jolla
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Kerryn W. Reding
- Biobehavioral Nursing and Health Informatics, School of Nursing, University of Washington, Seattle
| | - Kathy Pan
- Medical Oncology, The Lundquist Institute, Torrance, California
| | - Aladdin H. Shadyab
- Family Medicine and Public Health, School of Medicine, University of California, San Diego, La Jolla
| | - Lihong Qi
- Public Health Sciences, School of Medicine, University of California at Davis, Davis
| | - Garnet L. Anderson
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington
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23
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Nguyen S, Bellettiere J, Di C, Anuskiewicz B, Natarajan L, Lamonte MJ, LaCroix AZ. Abstract 30: Associations of Accelerometer-Measured Machine-Learning Classified Sitting With All-Cause and Cardiovascular Disease Mortality Among Older Women: The Opach Study. Circulation 2023. [DOI: 10.1161/circ.147.suppl_1.30] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/17/2023]
Abstract
Introduction:
Sedentary behavior (SB) is a recognized mortality and CVD risk factor. Most studies with accelerometry classified SB using cut-points, which do not capture postural transitions as accurately as thigh-worn devices. The recently published convolutional neural network hip accelerometer posture (CHAP) algorithm more accurately classifies sitting than cut-point methods.
Hypothesis:
Higher amounts of CHAP-classified sitting time (ST) and mean sitting bout duration (MSBD) are associated with higher all-cause (ACM) and CVD mortality risk.
Methods:
Older women (n=6,056; mean age=79±7; 34% Black, 17% Hispanic) in the Objective Physical Activity and Cardiovascular Health (OPACH) study without prior MI or stroke wore accelerometers for 7 days in May 2012-April 2014 and were followed through February 19, 2022 for mortality. The CHAP algorithm has been shown to have higher sensitivity (97.1% vs 88.2%) and specificity (88.6% vs 59.7%) for classifying sitting compared to the 100 counts/minute cut-point. Cox models estimated hazard ratios (HR) and 95% confidence intervals (CI) for ACM and CVD mortality adjusting for age, race/ethnicity, education, alcohol, smoking, multimorbidity, self-rated health, physical functioning, HDL, triglycerides, SBP, and log hs-CRP.
Results:
There were 1,808 deaths and 651 CVD deaths over a median follow-up of 8.4 years. The HR (95% CI; P-trend) comparing women in the highest ST quartile (>11.6 hr/day) to those in the lowest (<9.2 hr/day) was 1.43 (1.23-1.66; <0.001) for ACM and 1.64 (1.27-2.14; <0.001) for CVD mortality. The HR (95% CI; P-trend) comparing women in the highest MSBD quartile (>15 minutes) to those in the lowest (<9.3 minutes) was 1.33 (1.15-1.55; <0.001) for ACM and 1.50 (1.16-1.94; <0.001) for CVD mortality. The HR (95% CI) for women with the highest ST and MSBD was 1.63 (1.38-1.93) for ACM and 1.95 (1.47-2.60) for CVD mortality.
Conclusions:
ST and MSBD were positively associated with ACM and CVD mortality risk, supporting interventions aimed at reducing both ST and MSBD.
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24
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Schumacher BT, Di C, Bellettiere J, LaMonte MJ, Simonsick EM, Parada H, Hooker SP, LaCroix AZ. Validation, Recalibration, and Predictive Accuracy of Published V̇O 2max Prediction Equations for Adults Ages 50-96 Yr. Med Sci Sports Exerc 2023; 55:322-332. [PMID: 36069964 PMCID: PMC9840647 DOI: 10.1249/mss.0000000000003033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
PURPOSE Maximal oxygen uptake ( ) is the criterion measure of cardiorespiratory fitness. Lower cardiorespiratory fitness is a strong predictor of poor health outcomes, including all-cause mortality. Because testing is resource intensive, several non-exercise-based V˙O 2max prediction equations have been published. We assess these equations' ability to predict measured V˙O 2max , recalibrate these equations, and quantify the association of measured and predicted V˙O 2max with all-cause mortality. METHODS Baltimore Longitudinal Study of Aging participants with valid V˙O 2max tests were included ( n = 1080). Using published V˙O 2max prediction equations, we calculated predicted V˙O 2max and present performance metrics before and after recalibration (deriving new regression estimates by regressing measured V˙O 2max on Baltimore Longitudinal Study of Aging covariates). Cox proportional hazards models were fit to quantify associations of measured, predicted, and recalibration-predicted values of V˙O 2max with mortality. RESULTS Mean age and V˙O 2max were 69.0 ± 10.4 yr and 21.6 ± 5.9 mL·kg -1 ·min -1 , respectively. The prediction equations yielded root mean square error values ranging from 4.2 to 20.4 mL·kg -1 ·min -1 . After recalibration, these values decreased to 3.9-4.2 mL·kg -1 ·min -1 . Adjusting for all covariates, all-cause mortality risk was 66% lower for the highest quartile of measured V˙O 2max relative to the lowest. Predicted V˙O 2max variables yielded similar estimates in unadjusted models but were not robust to adjustment. CONCLUSIONS Measured V˙O 2max is an extremely strong predictor of all-cause mortality. Several published V˙O 2max prediction equations yielded the following: 1) reasonable performance metrics relative to measured V˙O 2max especially when recalibrated, and 2) all-cause mortality hazard ratios similar to those of measured V˙O 2max , especially when recalibrated, yet 3) were not robust to adjustment for basic demographic covariates likely because these were used in the equation for predicted V˙O 2max .
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Affiliation(s)
- Benjamin T. Schumacher
- Herbert Wertheim School of Public Health and Human Longevity Science, UC San Diego, La Jolla, CA
| | - Chongzhi Di
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - John Bellettiere
- Herbert Wertheim School of Public Health and Human Longevity Science, UC San Diego, La Jolla, CA
| | - Michael J. LaMonte
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo–SUNY, Buffalo, NY
| | - Eleanor M. Simonsick
- Translational Gerontology Branch, Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, MD
| | - Humberto Parada
- Division of Epidemiology and Biostatistics, School of Public Health, San Diego State University, San Diego, CA
- University of California, San Diego Moores Cancer Center, La Jolla, CA
| | - Steven P. Hooker
- College of Health and Human Services, San Diego State University, San Diego, CA
| | - Andrea Z. LaCroix
- Herbert Wertheim School of Public Health and Human Longevity Science, UC San Diego, La Jolla, CA
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Nguyen S, LaCroix AZ, Hayden KM, Di C, Palta P, Stefanick ML, Manson JE, Rapp SR, LaMonte MJ, Bellettiere J. Accelerometer-measured physical activity and sitting with incident mild cognitive impairment or probable dementia among older women. Alzheimers Dement 2023. [PMID: 36695426 PMCID: PMC10366337 DOI: 10.1002/alz.12908] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 11/14/2022] [Accepted: 11/17/2022] [Indexed: 01/26/2023]
Abstract
INTRODUCTION Physical activity (PA) is prospectively inversely associated with dementia risk, but few studies examined accelerometer measures of PA and sitting with rigorously-adjudicated mild cognitive impairment (MCI) and dementia risk. METHODS We examined the associations of accelerometer measures (PA and sitting) with incident MCI/probable dementia in the Women's Health Initiative (n = 1277; mean age = 82 ± 6 years) RESULTS: Over a median follow-up of 4.2 years, 267 MCI/probable dementia cases were identified. Adjusted Cox regression HRs (95% CI) across moderate-to-vigorous PA (MVPA) min/d quartiles were 1.00 (reference), 1.28 (0.90 to 1.81), 0.79 (0.53 to 1.17), and 0.69 (0.45 to 1.06); P-trend = 0.01. Adjusted HRs (95% CI) across steps/d quartiles were 1.00 (reference), 0.73 (0.51 to 1.03), 0.64 (0.43 to 0.94), and 0.38 (0.23 to 0.61); P-trend < 0.001. The HR (95% CI) for each 1-SD increment in MVPA (31 min/d) and steps/d (1865) were 0.79 (0.67 to 0.94) and 0.67 (0.54 to 0.82), respectively. Sitting was not associated with MCI/probable dementia. DISCUSSION Findings suggest ≥ moderate intensity PA, particularly stepping, associates with lower MCI and dementia risk. HIGHLIGHTS Few studies have examined accelerometer-measured physical activity, including steps, and sitting with incident ADRD. Moderate-to-vigorous physical activity and steps, but not light physical activity or sitting, were inversely associated with lower ADRD risk. Among older women, at least moderate intensity physical activity may be needed to reduce ADRD risk.
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Affiliation(s)
- Steve Nguyen
- Division of Epidemiology, Herbert Wertheim School of Public Health, University of California San Diego, La Jolla, California, USA
| | - Andrea Z LaCroix
- Division of Epidemiology, Herbert Wertheim School of Public Health, University of California San Diego, La Jolla, California, USA
| | - Kathleen M Hayden
- Department of Social Sciences & Health Policy, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Chongzhi Di
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | - Priya Palta
- Departments of Medicine and Epidemiology, Columbia University Irving Medical Center, New York, New York, USA
| | - Marcia L Stefanick
- Stanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - JoAnn E Manson
- Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Stephen R Rapp
- Department of Psychiatry & Behavioral Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Michael J LaMonte
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo - SUNY, Buffalo, New York, USA
| | - John Bellettiere
- Division of Epidemiology, Herbert Wertheim School of Public Health, University of California San Diego, La Jolla, California, USA
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Shumaker SA, LaCroix AZ, Bea JW. The Impact, Experience, and Challenges of COVID-19 on the Women’s Health Initiative Participants: An Introduction to the Special Issue. J Gerontol A Biol Sci Med Sci 2022; 77:S1-S2. [DOI: 10.1093/gerona/glac207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Indexed: 12/12/2022] Open
Affiliation(s)
- Sally A Shumaker
- Social Sciences & Health Policy, Division of Public Health Sciences, Wake Forest University School of Medicine , Winston-Salem, North Carolina , USA
| | - Andrea Z LaCroix
- Herbert Wertheim School of Public Health & Human Longevity Science, University of California San Diego , La Jolla, California , USA
| | - Jennifer W Bea
- Mel & Enid Zuckerman College of Public Health, University of Arizona , Tucson, Arizona , USA
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27
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Baker LD, Cotman CW, Thomas R, Jin S, Shadyab AH, Pa J, Rissman RA, Brewer JB, Zhang J, Jung Y, LaCroix AZ, Messer K, Feldman HH. Topline Results of EXERT: Can Exercise Slow Cognitive Decline in MCI? Alzheimers Dement 2022. [DOI: 10.1002/alz.069700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Laura D. Baker
- Wake Forest University School of Medicine Winston‐Salem NC USA
| | | | | | - Shelia Jin
- University of California San Diego La Jolla CA USA
| | | | - Judy Pa
- University of California San Diego La Jolla CA USA
| | | | | | - Jing Zhang
- University of California San Diego La Jolla CA USA
| | | | | | - Karen Messer
- University of California San Diego La Jolla CA USA
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Bellettiere J, Nakandala S, Tuz-Zahra F, Winkler EAH, Hibbing PR, Healy GN, Dunstan DW, Owen N, Greenwood-Hickman MA, Rosenberg DE, Zou J, Carlson JA, Di C, Dillon LW, Jankowska MM, LaCroix AZ, Ridgers ND, Zablocki R, Kumar A, Natarajan L. CHAP-Adult: A Reliable and Valid Algorithm to Classify Sitting and Measure Sitting Patterns Using Data From Hip-Worn Accelerometers in Adults Aged 35. J Meas Phys Behav 2022; 5:215-223. [PMID: 38260182 PMCID: PMC10803054 DOI: 10.1123/jmpb.2021-0062] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Background Hip-worn accelerometers are commonly used, but data processed using the 100 counts per minute cut point do not accurately measure sitting patterns. We developed and validated a model to accurately classify sitting and sitting patterns using hip-worn accelerometer data from a wide age range of older adults. Methods Deep learning models were trained with 30-Hz triaxial hip-worn accelerometer data as inputs and activPAL sitting/nonsitting events as ground truth. Data from 981 adults aged 35-99 years from cohorts in two continents were used to train the model, which we call CHAP-Adult (Convolutional Neural Network Hip Accelerometer Posture-Adult). Validation was conducted among 419 randomly selected adults not included in model training. Results Mean errors (activPAL - CHAP-Adult) and 95% limits of agreement were: sedentary time -10.5 (-63.0, 42.0) min/day, breaks in sedentary time 1.9 (-9.2, 12.9) breaks/day, mean bout duration -0.6 (-4.0, 2.7) min, usual bout duration -1.4 (-8.3, 5.4) min, alpha .00 (-.04, .04), and time in ≥30-min bouts -15.1 (-84.3, 54.1) min/day. Respective mean (and absolute) percent errors were: -2.0% (4.0%), -4.7% (12.2%), 4.1% (11.6%), -4.4% (9.6%), 0.0% (1.4%), and 5.4% (9.6%). Pearson's correlations were: .96, .92, .86, .92, .78, and .96. Error was generally consistent across age, gender, and body mass index groups with the largest deviations observed for those with body mass index ≥30 kg/m2. Conclusions Overall, these strong validation results indicate CHAP-Adult represents a significant advancement in the ambulatory measurement of sitting and sitting patterns using hip-worn accelerometers. Pending external validation, it could be widely applied to data from around the world to extend understanding of the epidemiology and health consequences of sitting.
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Affiliation(s)
- John Bellettiere
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Supun Nakandala
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - Fatima Tuz-Zahra
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | | | - Paul R Hibbing
- Center for Children's Healthy Lifestyles & Nutrition, Children's Mercy Hospital, Kansas City, MO, USA
| | - Genevieve N Healy
- School of Public Health, the University of Queensland, Brisbane, QLD, Australia
| | - David W Dunstan
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia
| | - Neville Owen
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
- Centre for Urban Transitions, Swinburne University of Technology, Melbourne, VIC, Australia
| | | | - Dori E Rosenberg
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Jingjing Zou
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Jordan A Carlson
- Center for Children's Healthy Lifestyles & Nutrition, Children's Mercy Hospital, Kansas City, MO, USA
- Department of Pediatrics, University of Missouri-Kansas City, Kansas City, MO, USA
| | - Chongzhi Di
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Lindsay W Dillon
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Marta M Jankowska
- Qualcomm Institute/Calit2, University of California San Diego, La Jolla, CA, USA
| | - Andrea Z LaCroix
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Nicola D Ridgers
- School of Exercise and Nutrition Sciences, Institute for Physical Activity and Nutrition, Deakin University, Geelong, VIC, Australia
| | - Rong Zablocki
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Arun Kumar
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - Loki Natarajan
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
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Mitchell CM, Larson JC, Crandall CJ, Bhasin S, LaCroix AZ, Ensrud KE, Guthrie KA, Reed SD. Association of Vaginal Estradiol Tablet With Serum Estrogen Levels in Women Who Are Postmenopausal: Secondary Analysis of a Randomized Clinical Trial. JAMA Netw Open 2022; 5:e2241743. [PMID: 36374501 PMCID: PMC9664265 DOI: 10.1001/jamanetworkopen.2022.41743] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
IMPORTANCE Half of women who are postmenopausal have genitourinary discomfort after menopause. Recommended therapies include low-dose vaginal estrogen. Individuals with a history of breast cancer or venous thromboembolism may have concerns about the safety of this intervention. OBJECTIVE To compare serum estrogen concentrations with the use of vaginal estrogen, 10 μg, tablet vs placebo in women who are postmenopausal. DESIGN, SETTING, AND PARTICIPANTS This is a secondary, post hoc analysis of data from a randomized clinical trial of treatment for moderate to severe genitourinary syndrome in women who are postmenopausal. The study was conducted at Kaiser Permanente Washington Health Research Institute and the University of Minnesota from April 11, 2016, to April 23, 2017. Measurements and data analysis were performed from November 3, 2020, to September 23, 2022. INTERVENTIONS Participants were randomly assigned to vaginal estradiol tablet (10 μg/d for 2 weeks and then twice weekly) plus placebo gel (3 times weekly) or dual placebo for 12 weeks. MAIN OUTCOMES AND MEASURES In this post hoc analysis, baseline and week 12 serum estradiol, estrone, and sex hormone-binding globulin (SHBG) concentrations were measured by a chemiluminescent assay. Week 12 values of the 3 analytes were compared by baseline participant characteristics. Linear models compared week 12 estradiol concentrations between treatment groups, adjusted for baseline characteristics. RESULTS A total of 174 women, mean (SD) age 61 (4) years, were included. Those in the estrogen group (n = 88) were more likely to have higher geometric mean (SD) week 12 serum estradiol concentrations (4.3 [2.2 pg/mL]) than those in the placebo group (n = 86) (3.5 [2.1] pg/mL) (P = .01). Adjusted for pretreatment hormone concentrations, age, clinical site, and body mass index, assignment to the estrogen vs placebo treatment group was significantly associated with higher week 12 estradiol concentrations (23.8% difference; 95% CI, 6.9%-43.3%). Most (121 of 174 [69.5%]) participants had enrollment serum estradiol concentrations higher than 2.7 pg/mL. Of women starting treatment at estradiol levels lower than or equal to 2.7 pg/mL, 38.1% (8 of 21) in the estrogen group and 34.4% (11 of 32) in the placebo group had estradiol concentrations higher than 2.7 pg/mL after 12 weeks of study participation (P = .78). Treatment assignment was not associated with week 12 estrone or SHBG concentrations. CONCLUSIONS AND RELEVANCE In this secondary analysis of a randomized clinical trial, a significant, although small, increase in serum estradiol levels was noted after 12 weeks of vaginal estrogen administration. The clinical relevance of this small increase is uncertain. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT02516202.
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Affiliation(s)
| | - Joseph C. Larson
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Carolyn J. Crandall
- Department of Medicine, David Geffen School of Medicine at University of California, Los Angeles
| | - Shalender Bhasin
- Research Program in Men’s Health: Aging and Metabolism, Boston Claude D. Pepper Older Americans Center, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Andrea Z. LaCroix
- Herbert Wertheim School of Public Health, University of California, San Diego
| | - Kristine E. Ensrud
- Departments of Medicine and Epidemiology and Community Health, University of Minnesota, Minneapolis
- Center for Care Delivery and Outcomes Research, Minneapolis VA Health Care System, Minneapolis, Minnesota
| | - Katherine A. Guthrie
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Susan D. Reed
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
- Department of Obstetrics and Gynecology, University of Washington, Seattle
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30
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Xiao Q, Shadyab AH, Rapp SR, Stone KL, Yaffe K, Sampson JN, Chen JC, Hayden KM, Henderson VW, LaCroix AZ. Rest-activity rhythms and cognitive impairment and dementia in older women: Results from the Women's Health Initiative. J Am Geriatr Soc 2022; 70:2925-2937. [PMID: 35708069 PMCID: PMC9588636 DOI: 10.1111/jgs.17926] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 05/10/2022] [Accepted: 05/23/2022] [Indexed: 02/01/2023]
Abstract
INTRODUCTION Growing evidence suggests that impairment in rest-activity rhythms may be a risk factor for cognitive decline and impairment in the aging population. However, previous studies included only a limited set of rest-activity metrics and produced mixed findings. We studied a comprehensive set of parametric and nonparametric characteristics of rest-activity rhythms in relation to mild cognitive impairment (MCI) and probable dementia in a cohort of older women. METHODS The prospective analysis included 763 women enrolled in two ancillary studies of the Women's Health Initiative (WHI): the WHI Memory Study-Epidemiology of Cognitive Health Outcomes and Objective Physical Activity and Cardiovascular Health studies. The association between accelerometry-based rest-activity parameters and centrally adjudicated MCI and probable dementia were determined using Cox regression models adjusted for sociodemographic characteristics, lifestyle factors, and comorbidities. RESULTS Overall, the results support a prospective association between weakened rest-activity rhythms (e.g., reduced amplitude and overall rhythmicity) and adverse cognitive outcomes. Specifically, reduced overall rhythmicity (pseudo F statistic), lower amplitude and activity level (amplitude/relative amplitude, mesor, and activity level during active periods of the day [M10]), and later activity timing (acrophase and midpoint of M10) were associated with a higher risk for MCI and probable dementia. Women with lower amplitude and mesor also exhibited faster cognitive decline over follow-up. CONCLUSION Weakened rest-activity rhythms may be predictive markers for cognitive decline, MCI, and dementia among older women.
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Affiliation(s)
- Qian Xiao
- Department of Epidemiology, Human Genetics and Environmental Health, School of Public Health, the University of Texas Health Science Center at Houston, Houston, TX
| | - Aladdin H. Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA
| | - Stephen R. Rapp
- Department of Psychiatry and Behavioral Medicine, Wake Forest School of Medicine, Winston Salem, NC
| | - Katie L. Stone
- Research Institute, California Pacific Medical Center, San Francisco, CA
| | - Kristin Yaffe
- Department of Psychiatry, Neurology, and Epidemiology and Biostatistics, University of California, San Francisco, CA
| | - Joshua N. Sampson
- Biostatistics Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute, Rockville, MD
| | - Jiu-Chiuan Chen
- Departments of Population & Public Health Sciences and Neurology, University of Southern California, Los Angeles, CA
| | - Kathleen M. Hayden
- Department of Social Sciences and Health Policy, Wake Forest School of Medicine, Winston Salem, NC
| | - Victor W. Henderson
- Department of Epidemiology and Population Health and Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
| | - Andrea Z. LaCroix
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA
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31
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Hyde ET, Parada H, Bellettiere J, Di C, Howard AG, LaMonte MJ, Manson JE, Buring JE, Shiroma EJ, LaCroix AZ, Evenson KR, Lee IM. Accelerometer-Measured Physical Activity And Incident Breast Cancer In Older Women: The Women’s Health Accelerometry Collaboration. Med Sci Sports Exerc 2022. [DOI: 10.1249/01.mss.0000880484.92711.3d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Ensrud KE, Larson JC, Guthrie KA, Crandall CJ, LaCroix AZ, Reed SD, Bhasin S, Mitchell CM, Joffe H. Changes in serum endogenous estrogen concentrations are mediators of the effect of low-dose oral estradiol on vasomotor symptoms. Menopause 2022; 29:1014-1020. [PMID: 35969887 PMCID: PMC9472527 DOI: 10.1097/gme.0000000000002026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVES The aim of this study was to quantify changes in serum total estradiol (E2) and estrone (E1) concentrations with initiation of low-dose oral estradiol treatment and evaluate whether changes in concentrations mediate the effect of treatment in reducing vasomotor symptom (VMS) frequency. METHODS We analyzed baseline and week 8 (W8) data from 171 perimenopausal and postmenopausal women with VMS enrolled in low-dose 17β estradiol ( n = 72) and placebo ( n = 99) groups of a randomized clinical trial. RESULTS From baseline to W8, women in the low-dose estradiol group had a fourfold increase in E2, resulting in a W8 E2 of 23 pg/mL, and a fivefold increase in E1, resulting in a W8 E1 of 110.7 pg/mL. In contrast, E2 and E1 among women in the placebo group were unchanged from baseline to W8. Changes in E2 and E1 from baseline to W8 met criteria for mediating the effect of low-dose estradiol treatment on VMS frequency. With change in estrogen concentration added to treatment assignment in a regression model predicting W8 VMS frequency, the effect of treatment with low-dose estradiol versus placebo was attenuated, with change in E2 representing a 44.1% reduction ( P = 0.03) and change in E1 representing a 69.5% reduction ( P = 0.02) in total intervention effect. CONCLUSION Among perimenopausal and postmenopausal women with VMS, treatment with low-dose oral estradiol versus placebo results in four- to fivefold increases in serum E2 and E1. The increases in serum E2 and E1 with low-dose oral estradiol treatment seem to mediate in part the effect of treatment in reducing VMS frequency.
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Affiliation(s)
- Kristine E. Ensrud
- Department of Medicine and Division of Epidemiology & Community Health, University of Minnesota, Minneapolis, MN
- Center for Care Delivery & Outcomes Research, VA Health Care System, Minneapolis, MN
| | - Joseph C. Larson
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle WA
| | | | - Carolyn J. Crandall
- Department of Medicine, David Geffen School of Medicine at University of California, Los Angeles, CA
| | - Andrea Z. LaCroix
- Department of Family Medicine and Public Health, University of California – San Diego, La Jolla, CA
| | - Susan D. Reed
- Department of Obstetrics and Gynecology, University of Washington, Seattle, WA
| | - Shalender Bhasin
- Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Caroline M. Mitchell
- Department of Obstetrics & Gynecology, Massachusetts General Hospital, Boston, MA
| | - Hadine Joffe
- Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Connors Center For Women’s Health and Gender Biology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
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Wang G, Wu S, Evenson KR, Kang I, LaMonte MJ, Bellettiere J, Lee IM, Howard AG, LaCroix AZ, Di C. Calibration of an Accelerometer Activity Index among Older Women and Its Association with Cardiometabolic Risk Factors. J Meas Phys Behav 2022; 5:145-155. [PMID: 36504675 PMCID: PMC9733915 DOI: 10.1123/jmpb.2021-0031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Purpose Traditional summary metrics provided by accelerometer device manufacturers, known as counts, are proprietary and manufacturer specific, making them difficult to compare studies using different devices. Alternative summary metrics based on raw accelerometry data have been introduced in recent years. However, they were often not calibrated on ground truth measures of activity-related energy expenditure for direct translation into continuous activity intensity levels. Our purpose is to calibrate, derive, and validate thresholds among women 60 years and older based on a recently proposed transparent raw data based accelerometer activity index (AAI), and to demonstrate its application in association with cardiometabolic risk factors. Methods We first built calibration equations for estimating metabolic equivalents (METs) continuously using AAI and personal characteristics using internal calibration data (n=199). We then derived AAI cutpoints to classify epochs into sedentary behavior and intensity categories. The AAI cutpoints were applied to 4,655 data units in the main study. We then utilized linear models to investigate associations of AAI sedentary behavior and physical activity intensity with cardiometabolic risk factors. Results We found that AAI demonstrated great predictive accuracy for METs (R2=0.74). AAI-based physical activity measures were associated in the expected directions with body mass index (BMI), blood glucose, and high density lipoprotein (HDL) cholesterol. Conclusion The calibration framework for AAI and the cutpoints derived for women older than 60 years can be applied to ongoing epidemiologic studies to more accurately define sedentary behavior and physical activity intensity exposures which could improve accuracy of estimated associations with health outcomes.
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Affiliation(s)
- Guangxing Wang
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington, United States
| | - Sixuan Wu
- Inspur USA Inc, Bellevue, Washington, United States
| | - Kelly R Evenson
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina - Chapel Hill, Chapel Hill, North Carolina, United States
| | - Ilsuk Kang
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington, United States
| | - Michael J LaMonte
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo - SUNY, Buffalo NY
| | - John Bellettiere
- Division of Epidemiology, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA
| | - I-Min Lee
- Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Annie Green Howard
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina - Chapel Hill, Chapel Hill, North Carolina, United States
- Carolina Population Center, University of North Carolina - Chapel Hill, Chapel Hill, North Carolina, United States
| | - Andrea Z LaCroix
- Division of Epidemiology, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA
| | - Chongzhi Di
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington, United States
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Carlson JA, Ridgers ND, Nakandala S, Zablocki R, Tuz-Zahra F, Bellettiere J, Hibbing PR, Steel C, Jankowska MM, Rosenberg DE, Greenwood-Hickman MA, Zou J, LaCroix AZ, Kumar A, Natarajan L. CHAP-child: an open source method for estimating sit-to-stand transitions and sedentary bout patterns from hip accelerometers among children. Int J Behav Nutr Phys Act 2022; 19:109. [PMID: 36028890 PMCID: PMC9419346 DOI: 10.1186/s12966-022-01349-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 08/15/2022] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Hip-worn accelerometer cut-points have poor validity for assessing children's sedentary time, which may partly explain the equivocal health associations shown in prior research. Improved processing/classification methods for these monitors would enrich the evidence base and inform the development of more effective public health guidelines. The present study aimed to develop and evaluate a novel computational method (CHAP-child) for classifying sedentary time from hip-worn accelerometer data. METHODS Participants were 278, 8-11-year-olds recruited from nine primary schools in Melbourne, Australia with differing socioeconomic status. Participants concurrently wore a thigh-worn activPAL (ground truth) and hip-worn ActiGraph (test measure) during up to 4 seasonal assessment periods, each lasting up to 8 days. activPAL data were used to train and evaluate the CHAP-child deep learning model to classify each 10-s epoch of raw ActiGraph acceleration data as sitting or non-sitting, creating comparable information from the two monitors. CHAP-child was evaluated alongside the current practice 100 counts per minute (cpm) method for hip-worn ActiGraph monitors. Performance was tested for each 10-s epoch and for participant-season level sedentary time and bout variables (e.g., mean bout duration). RESULTS Across participant-seasons, CHAP-child correctly classified each epoch as sitting or non-sitting relative to activPAL, with mean balanced accuracy of 87.6% (SD = 5.3%). Sit-to-stand transitions were correctly classified with mean sensitivity of 76.3% (SD = 8.3). For most participant-season level variables, CHAP-child estimates were within ± 11% (mean absolute percent error [MAPE]) of activPAL, and correlations between CHAP-child and activPAL were generally very large (> 0.80). For the current practice 100 cpm method, most MAPEs were greater than ± 30% and most correlations were small or moderate (≤ 0.60) relative to activPAL. CONCLUSIONS There was strong support for the concurrent validity of the CHAP-child classification method, which allows researchers to derive activPAL-equivalent measures of sedentary time, sit-to-stand transitions, and sedentary bout patterns from hip-worn triaxial ActiGraph data. Applying CHAP-child to existing datasets may provide greater insights into the potential impacts and influences of sedentary time in children.
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Affiliation(s)
- Jordan A Carlson
- Center for Children's Healthy Lifestyles & Nutrition, Children's Mercy Kansas City, 610 E. 22ndSt., Kansas City, MO, 64108, USA.
- Department of Pediatrics, University of Missouri - Kansas City, Kansas City, MO, USA.
| | - Nicola D Ridgers
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, Australia
| | - Supun Nakandala
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - Rong Zablocki
- Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Fatima Tuz-Zahra
- Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - John Bellettiere
- Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Paul R Hibbing
- Center for Children's Healthy Lifestyles & Nutrition, Children's Mercy Kansas City, 610 E. 22ndSt., Kansas City, MO, 64108, USA
| | - Chelsea Steel
- Center for Children's Healthy Lifestyles & Nutrition, Children's Mercy Kansas City, 610 E. 22ndSt., Kansas City, MO, 64108, USA
| | - Marta M Jankowska
- Population Sciences, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Dori E Rosenberg
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | | | - Jingjing Zou
- Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Andrea Z LaCroix
- Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Arun Kumar
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - Loki Natarajan
- Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, La Jolla, CA, USA
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LaMonte MJ, Manson JE, Anderson GL, Baker LD, Bea JW, Eaton CB, Follis S, Hayden KM, Kooperberg C, LaCroix AZ, Limacher MC, Neuhouser ML, Odegaard A, Perez MV, Prentice RL, Reiner AP, Stefanick ML, Van Horn L, Wells GL, Whitsel EA, Rossouw JE. Contributions of the Women's Health Initiative to Cardiovascular Research: JACC State-of-the-Art Review. J Am Coll Cardiol 2022; 80:256-275. [PMID: 35835498 DOI: 10.1016/j.jacc.2022.05.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 05/05/2022] [Accepted: 05/06/2022] [Indexed: 11/25/2022]
Abstract
The WHI (Women's Health Initiative) enrolled 161,808 racially and ethnically diverse postmenopausal women, ages 50-79 years, from 1993 to 1998 at 40 clinical centers across the United States. In its clinical trial component, WHI evaluated 3 randomized interventions (menopausal hormone therapy; diet modification; and calcium/vitamin D supplementation) for the primary prevention of major chronic diseases, including cardiovascular disease, in older women. In the WHI observational study, numerous clinical, behavioral, and social factors have been evaluated as predictors of incident chronic disease and mortality. Although the original interventions have been completed, the WHI data and biomarker resources continue to be leveraged and expanded through ancillary studies to yield novel insights regarding cardiovascular disease prevention and healthy aging in women.
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Affiliation(s)
- Michael J LaMonte
- Department of Epidemiology and Environmental Health, University at Buffalo-SUNY, Buffalo, New York, USA.
| | - JoAnn E Manson
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Garnet L Anderson
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Laura D Baker
- Department of Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Jennifer W Bea
- Department of Health Promotion Science, University of Arizona, Tucson, Arizona, USA
| | - Charles B Eaton
- Department of Family Medicine and Epidemiology, Brown University, Providence, Rhode Island, USA
| | - Shawna Follis
- Stanford Prevention Research Center, Department of Medicine, Stanford University, Stanford, California, USA
| | - Kathleen M Hayden
- Department of Social Sciences and Health Policy, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Andrea Z LaCroix
- Division of Epidemiology, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, California, USA
| | - Marian C Limacher
- Department of Internal Medicine, University of Florida, Gainesville, Florida, USA
| | - Marian L Neuhouser
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Andrew Odegaard
- Department of Epidemiology, University of California, Irvine, California, USA
| | - Marco V Perez
- Department of Medicine, Stanford University, Palo Alto, California, USA
| | - Ross L Prentice
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Alexander P Reiner
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Marcia L Stefanick
- Stanford Prevention Research Center, Department of Medicine, Stanford University, Stanford, California, USA
| | - Linda Van Horn
- Department of Preventive Medicine, Northwestern University, Chicago, Illinois, USA
| | - Gretchen L Wells
- Department of Medicine, University of Alabama, Birmingham, Alabama, USA
| | - Eric A Whitsel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Jacques E Rossouw
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
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Kilpela LS, Marshall VB, Keel PK, LaCroix AZ, Espinoza SE, Hooper SC, Musi N. The clinical significance of binge eating among older adult women: an investigation into health correlates, psychological wellbeing, and quality of life. J Eat Disord 2022; 10:97. [PMID: 35799222 PMCID: PMC9264536 DOI: 10.1186/s40337-022-00621-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 06/24/2022] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND One type of overnutrition, binge eating (BE; eating an unusually large amount of food with loss of control), is prevalent among older adult women. Yet, little is known about the clinical significance of this eating disorder pathology in older adults, especially in relation to health outcomes used in geriatrics, while controlling for associations with body mass index (BMI). METHOD Women (N = 227) aged 60-94 completed two measures of BE and health/wellness questionnaires online. We used multivariable analyses to compare women with Clinical-frequency BE (≥ weekly frequency), Subclinical-frequency BE (< weekly), and No BE on health/wellness outcomes controlling for BMI. We conducted partial correlations controlling for BMI to examine associations between BE severity and health indices. RESULTS Controlling for BMI, the Clinical-frequency BE group reported poorer health-related quality of life (physical function, role limitations due to both emotional and physical problems, vitality, emotional wellbeing, social function, and pain) and poorer psychological health (depression, body image) compared to both Subclinical-frequency BE and No BE. The Clinical-frequency BE group also reported poorer sleep, nutritious food consumption, general health, and positive affect compared to No BE. Associations between a separate measure of BE severity and health indices confirmed findings from group comparisons. CONCLUSION Weekly BE may offer a promising screening benchmark for identifying one type of overnutrition in older women that is associated with numerous indicators of poorer health, independent of the effects of BMI. More research is needed to understand risks for and consequences of BE unique to older adult women. Binge eating (BE; eating an unusually large amount of food with loss of control), is prevalent among older adult women and is associated with health problems in younger populations. Yet, little is known about how BE is related to other health problems in older adults. We compared health behaviors, physical health, health-related quality of life, and psychological health between older adult women who reported weekly or more frequent BE (i.e., Clinical BE), those with low frequency BE (i.e., Subclinical BE), and those with no BE, while accounting for BMI. Older women in the Clinical BE group reported poorer health-related quality of life, more depression symptoms, and worse body image compared to the Subclinical BE and No BE groups. Compared to the No BE group, the Clinical BE group also reported poorer sleep, less frequent consumption of nutritious foods, worse health, and less frequent positive emotions. Using a separate measure of BE severity, we found similar associations with these health outcomes. Engaging in weekly BE may represent one type of overnutrition behavior in older women that is associated with numerous indicators of poorer health. More research is needed to understand risks for and consequences of BE unique to older adult women.
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Affiliation(s)
- Lisa Smith Kilpela
- Barshop Institute, UT Health San Antonio, San Antonio, TX, USA.
- ReACH Center, UT Health San Antonio, San Antonio, TX, USA.
- South Texas VA Health System, Audie Murphy Veterans Hospital, San Antonio, TX, USA.
| | - Victoria B Marshall
- Barshop Institute, UT Health San Antonio, San Antonio, TX, USA
- ReACH Center, UT Health San Antonio, San Antonio, TX, USA
| | - Pamela K Keel
- Department of Psychology, Florida State University, Tallahassee, FL, USA
| | - Andrea Z LaCroix
- Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, San Diego, CA, USA
| | - Sara E Espinoza
- Barshop Institute, UT Health San Antonio, San Antonio, TX, USA
- South Texas VA Health System, Audie Murphy Veterans Hospital, San Antonio, TX, USA
| | - Savannah C Hooper
- Barshop Institute, UT Health San Antonio, San Antonio, TX, USA
- ReACH Center, UT Health San Antonio, San Antonio, TX, USA
| | - Nicolas Musi
- Barshop Institute, UT Health San Antonio, San Antonio, TX, USA
- South Texas VA Health System, Audie Murphy Veterans Hospital, San Antonio, TX, USA
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Seguin-Fowler RA, LaCroix AZ, LaMonte MJ, Liu J, Maddock JE, Rethorst CD, Bird CE, Stefanick ML, Manson JE. Association of Neighborhood Walk Score with Accelerometer-Measured Physical Activity Varies by Neighborhood Socioeconomic Status in Older Women. Prev Med Rep 2022; 29:101931. [PMID: 36161128 PMCID: PMC9502671 DOI: 10.1016/j.pmedr.2022.101931] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 07/07/2022] [Accepted: 07/26/2022] [Indexed: 10/27/2022] Open
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Esserman LJ, Parker BA, LaCroix AZ. Why It Is Time to Challenge Entrenched Beliefs About Breast Cancer Screening. J Womens Health (Larchmt) 2022; 31:903-904. [PMID: 35849752 DOI: 10.1089/jwh.2022.0179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Laura J Esserman
- Department of Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Barbara A Parker
- Department of Medicine, Moores Cancer Center, University of California, San Diego, San Diego, California, USA
| | - Andrea Z LaCroix
- Department of Family Medicine and Public Health, University of California, San Diego, San Diego, California, USA
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Jain P, Binder AM, Chen B, Parada H, Gallo LC, Alcaraz J, Horvath S, Bhatti P, Whitsel EA, Jordahl K, Baccarelli AA, Hou L, Stewart JD, Li Y, Justice JN, LaCroix AZ. Analysis of Epigenetic Age Acceleration and Healthy Longevity Among Older US Women. JAMA Netw Open 2022; 5:e2223285. [PMID: 35895062 PMCID: PMC9331104 DOI: 10.1001/jamanetworkopen.2022.23285] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
IMPORTANCE Accelerated biological aging is associated with decreased physical capability and cognitive functioning, which are associated with increased risk of morbidity and mortality. OBJECTIVE We investigated associations between epigenetic age acceleration (EAA), a biomarker associated with aging, and healthy longevity among older women. DESIGN, SETTING, AND PARTICIPANTS This cohort study was a secondary analysis of participants in the Women's Health Initiative (WHI) who were eligible to survive to age 90 years by September 30, 2020. Participants were located in multiple centers. This study was restricted to women with genome-wide DNA methylation data, generated from baseline blood samples within 3 WHI ancillary studies. Median (IQR) follow-up times from baseline were 21.6 (19.6-22.9) years and 21.4 (19.8-22.7) years for women who survived to age 90 years with and without intact mobility, respectively, and 13.2 (8.8-16.7) for women who did not survive to age 90 years. Data were analyzed from December 2020 to July 2021. EXPOSURES EAA was estimated using 4 established "clocks": Horvath pantissue, Hannum, Pheno, and Grim. MAIN OUTCOMES AND MEASURES Using multinomial logistic regression, odds ratios (ORs) and 95% CIs were estimated for 3 healthy longevity outcomes for each clock: survival to age 90 years with intact mobility, survival to age 90 years without intact mobility, and no survival to age 90 years. RESULTS Among 1813 women, there were 464 women (mean [SD] age at baseline, 71.6 [3.5] years) who survived to age 90 years with intact mobility and cognitive functioning, 420 women (mean [SD] age at baseline, 71.3 [3.2] years) who survived to age 90 years without intact mobility and cognitive functioning, and 929 women (mean [SD] age at baseline, 70.2 [3.4] years) who did not survive to age 90 years. Women who survived to age 90 years with intact mobility and cognitive function were healthier at baseline compared with women who survived without those outcomes or who did not survive to age 90 years (eg, 143 women [30.8%] vs 101 women [24.0%] and 202 women [21.7%] with 0 chronic conditions). The odds of surviving to age 90 years with intact mobility were lower for every 1 SD increase in EAA compared with those who did not survive to age 90 years as measured by AgeAccelHorvath (OR, 0.82; 95% CI, 0.69-0.96; P = .01), AgeAccelHannum (OR, 0.67; 95% CI, 0.56-0.80; P < .001), AgeAccelPheno (OR, 0.60; 95% CI, 0.51-0.72; P < .001), and AgeAccelGrim (OR, 0.68; 95% CI, 0.55-0.84; P < .001). ORs were similar for women who survived to age 90 years with intact mobility and cognitive function (eg, AgeAccelHorvath: OR per 1 SD increase in EAA, 0.83; 95% CI, 0.71-0.98; P = .03) compared with women who did not survive to age 90 years. CONCLUSIONS AND RELEVANCE These findings suggest that EAA may be a valid biomarker associated with healthy longevity among older women and may be used for risk stratification and risk estimation of future functional and cognitive aging. Outcomes suggest that future studies may focus on the potential for public health interventions to counteract EAA and its association with poor health outcomes to lower disease burden while increasing longevity.
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Affiliation(s)
- Purva Jain
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla
| | - Alexandra M. Binder
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles
| | - Brian Chen
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla
| | - Humberto Parada
- Division of Epidemiology and Biostatistics, School of Public Health, San Diego State University
- Moores Cancer Center, University of California, San Diego, La Jolla
| | - Linda C. Gallo
- Division of Epidemiology and Biostatistics, School of Public Health, San Diego State University
| | - John Alcaraz
- Moores Cancer Center, University of California, San Diego, La Jolla
| | - Steve Horvath
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles
- Department of Biostatistics, School of Public Health, University of California, Los Angeles
| | - Parveen Bhatti
- Cancer Control Research, BC Cancer, Vancouver, British Columbia, Canada
| | - Eric A. Whitsel
- Department of Epidemiology, Gillings School of Public Health, Chapel Hill, North Carolina
- Department of Medicine, School of Medicine, University of North Carolina at Chapel Hill
| | - Kristina Jordahl
- Department of Epidemiology, School of Public Health, University of Washington, Seattle
| | - Andrea A. Baccarelli
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University Irving Medical Center, New York, New York
| | - Lifang Hou
- Institute for Public Health and Medicine, Northwestern University, Chicago, Illinois
| | - James D. Stewart
- Department of Epidemiology, Gillings School of Public Health, Chapel Hill, North Carolina
- Department of Medicine, School of Medicine, University of North Carolina at Chapel Hill
| | - Yun Li
- Department of Genetics, University of North Carolina at Chapel Hill
- Department of Biostatistics, University of North Carolina at Chapel Hill
- Department of Computer Science, University of North Carolina at Chapel Hill
| | - Jamie N. Justice
- Sticht Center for Healthy Aging and Alzheimer’s Prevention, Section of Gerontology and Geriatric Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Andrea Z. LaCroix
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla
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Stefanick ML, Kooperberg C, LaCroix AZ. Women's Health Initiative Strong and Healthy (WHISH): A pragmatic physical activity intervention trial for cardiovascular disease prevention. Contemp Clin Trials 2022; 119:106815. [PMID: 35691486 PMCID: PMC9420786 DOI: 10.1016/j.cct.2022.106815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 06/01/2022] [Accepted: 06/01/2022] [Indexed: 11/26/2022]
Abstract
BACKGROUND National guidelines promote physical activity to reduce cardiovascular disease (CVD); yet, no RCT has tested the effectiveness of physical activity as the sole intervention for primary CVD prevention in older adults. The Women's Health Initiative (WHI) Strong and Healthy (WHISH) trial, a pragmatic trial embedded in the WHI-Extension Study (ES), is testing whether increasing physical activity and decreasing sedentary behavior will reduce major CV events in older women. METHODS The randomized consent design was used to assign 49,331 women (aged 68-99 years in 2015) who had consented to ongoing WHI-ES follow-up and for whom CV outcomes were available through WHI-ES procedures (N = 18,985) and/or linkage to the Centers for Medicare and Medicaid Services (N = 30,346) to a physical activity (PA) intervention designed to promote national recommendations (N = 24,657) or "usual activity" comparison (N = 24,674). Women assigned to the intervention provided passive consent to receive the intervention and provide data. A multi-component PA intervention is delivered by seasonal (quarterly) newsletters with targeted inserts (lower, middle, higher) based on self-reported levels of physical functioning (PF) and physical activity; monthly motivational telephone messages; monthly emails; a website; and contact with staff, as requested. Major CV events, myocardial infarction (MI), stroke, or CVD death, collected annually through WHI-ES, comprise the primary outcome. Hip fracture and non-CVD death are primary safety outcomes. Intention-to-treat analyses in all randomized participants will include 8 years of follow-up. CONCLUSION Determining whether increased physical activity and decreased sedentary behavior reduce major CV events in older women is of major public health significance. CLINICAL TRIALS REGISTRATION ClinicalTrials.govidentifier:NCT02425345.
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Affiliation(s)
- Marcia L Stefanick
- Department of Medicine, Stanford Prevention Research Center, Stanford University School of Medicine, Stanford, California, USA; Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, California, USA.
| | - Charles Kooperberg
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | - Andrea Z LaCroix
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA; Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, La Jolla, California, USA
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Hooper SC, Marshall VB, Becker CB, LaCroix AZ, Keel PK, Kilpela LS. Mental health and quality of life in postmenopausal women as a function of retrospective menopause symptom severity. Menopause 2022; 29:707-713. [PMID: 35674651 PMCID: PMC9178181 DOI: 10.1097/gme.0000000000001961] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVES Perimenopause is commonly viewed as a window of vulnerability for developing psychiatric and eating disorders, especially for women who experience severe symptoms. However, menopausal symptoms may have a lasting effect on older women's mental health and quality of life (QOL) into postmenopause. The current study examined older (60+) postmenopausal women's mental health and QOL as a function of retrospective menopausal symptom severity. METHODS Participants were recruited via public online postings and included 227 postmenopausal women, ages 60 to 94 years old (M = 68.84, SD = 6.53). Participants completed an online questionnaire to assess past menopausal symptoms as well as current depression, anxiety, sleep difficulties, binge eating, QOL, and demographics. The relation between the retrospective severity of menopausal symptoms and mental health/QOL was evaluated using linear regressions, while controlling for demographic covariates. RESULTS Retrospective menopause symptom severity was significantly associated with depression, sleep difficulties, binge eating severity, and most QOL measures. Regarding covariates, having a psychiatric history was significantly associated with all outcome variables, except for anxiety. Time since menopause and body mass index were significantly associated with binge eating severity. Regarding specific symptom subgroups, psychological and somato-vegetative symptoms were most associated with mental health and QOL. CONCLUSION The menopausal transition is a significant change in a woman's life and the challenges of menopausal symptoms can have lasting impacts on women's health. It is imperative that future research seeks to further understand the lasting impacts of this transition on the lives of older women to ensure proper interventions are implemented for successful aging.
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Affiliation(s)
- Savannah C. Hooper
- Barshop Institute, UT Health San Antonio, San Antonio, TX, United States
- ReACH Center, UT Health San Antonio, San Antonio, TX, United States
| | - Victoria B. Marshall
- Barshop Institute, UT Health San Antonio, San Antonio, TX, United States
- ReACH Center, UT Health San Antonio, San Antonio, TX, United States
| | - Carolyn B. Becker
- Department of Psychology, Trinity University, San Antonio, TX, United States
| | - Andrea Z. LaCroix
- Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, San Diego, CA, United States
| | | | - Lisa S. Kilpela
- Barshop Institute, UT Health San Antonio, San Antonio, TX, United States
- ReACH Center, UT Health San Antonio, San Antonio, TX, United States
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Richard EL, McEvoy LK, Deary IJ, Davies G, Cao SY, Oren E, Alcaraz JE, LaCroix AZ, Bressler J, Salem RM. Markers of kidney function, genetic variation related to cognitive function, and cognitive performance in the UK Biobank. BMC Nephrol 2022; 23:159. [PMID: 35477353 PMCID: PMC9047316 DOI: 10.1186/s12882-022-02750-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 03/11/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Chronic kidney disease has been linked to worse cognition. However, this association may be dependent on the marker of kidney function used, and studies assessing modification by genetics are lacking. This study examined associations between multiple measures of kidney function and assessed effect modification by a polygenic score for general cognitive function. METHODS In this cross-sectional study of up to 341,208 European ancestry participants from the UK Biobank study, we examined associations between albuminuria and estimated glomerular filtration rate based on creatinine (eGFRcre) or cystatin C (eGFRcys) with cognitive performance on tests of verbal-numeric reasoning, reaction time and visual memory. Adjustment for confounding factors was performed using multivariate regression and propensity-score matching. Interaction between kidney function markers and a polygenic risk score for general cognitive function was also assessed. RESULTS Albuminuria was associated with worse performance on tasks of verbal-numeric reasoning (β(points) = -0.09, p < 0.001), reaction time (β(milliseconds) = 7.06, p < 0.001) and visual memory (β(log errors) = 0.013, p = 0.01). A polygenic score for cognitive function modified the association between albuminuria and verbal-numeric reasoning with significantly lower scores in those with albuminuria and a lower polygenic score (p = 0.009). Compared to participants with eGFRcre ≥ 60 ml/min, those with eGFRcre < 60 ml/min had lower verbal-numeric reasoning scores and slower mean reaction times (verbal numeric reasoning β = -0.11, p < 0.001 and reaction time β = 6.08, p < 0.001 for eGFRcre < 60 vs eGFRcre ≥ 60). Associations were stronger using cystatin C-based eGFR than creatinine-based eGFR (verbal numeric reasoning β = -0.21, p < 0.001 and reaction time β = 11.21, p < 0.001 for eGFRcys < 60 vs eGFRcys ≥ 60). CONCLUSIONS Increased urine albumin is associated with worse cognition, but this may depend on genetic risk. Cystatin C-based eGFR may better predict cognitive performance than creatinine-based estimates.
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Affiliation(s)
- Erin L Richard
- Department of Family Medicine and Public Health, University of California San Diego, 9500 Gilman Dr, La Jolla, San Diego, CA, USA
- Department of Family Medicine and Public Health, Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, School of Medicine, 9500 Gilman Dr, La Jolla, CA, 92093-0841, San Diego, USA
| | - Linda K McEvoy
- Department of Family Medicine and Public Health, Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, School of Medicine, 9500 Gilman Dr, La Jolla, CA, 92093-0841, San Diego, USA
- Department of Radiology, University of California San Diego, 9500 Gilman Dr, La Jolla, San Diego, CA, USA
| | - Ian J Deary
- Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Gail Davies
- Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Steven Y Cao
- Department of Family Medicine and Public Health, Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, School of Medicine, 9500 Gilman Dr, La Jolla, CA, 92093-0841, San Diego, USA
| | - Eyal Oren
- Graduate School of Public Health, San Diego State University, 5500 Campanile Dr, San Diego, CA, USA
| | - John E Alcaraz
- Graduate School of Public Health, San Diego State University, 5500 Campanile Dr, San Diego, CA, USA
| | - Andrea Z LaCroix
- Department of Family Medicine and Public Health, Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, School of Medicine, 9500 Gilman Dr, La Jolla, CA, 92093-0841, San Diego, USA
| | - Jan Bressler
- Human Genetics Center, Department of Epidemiology, School of Public Health, Human Genetics, and Environmental Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Rany M Salem
- Department of Family Medicine and Public Health, Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, School of Medicine, 9500 Gilman Dr, La Jolla, CA, 92093-0841, San Diego, USA.
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Shadyab AH, LaCroix AZ, Matthews G, Bennett D, Shadyab AA, Tan D, Thomas RG, Mason J, Lopez A, Askew B, Donahue L, Kaplita S, Qureshi IA, Huisa B, Feldman HH. T2 Protect AD: Achieving a rapid recruitment timeline in a multisite clinical trial for individuals with mild to moderate Alzheimer's disease. Alzheimers Dement (N Y) 2022; 8:e12265. [PMID: 35310528 PMCID: PMC8919121 DOI: 10.1002/trc2.12265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 11/02/2021] [Accepted: 01/10/2022] [Indexed: 12/02/2022]
Abstract
Introduction The reporting of approaches facilitating the most efficient and timely recruitment of Alzheimer's disease (AD) patients into pharmacologic trials is fundamental to much-needed therapeutic progress. Methods T2 Protect AD (T2), a phase 2 randomized placebo-controlled trial of troriluzole in mild to moderate AD, used multiple recruitment strategies. Results T2 exceeded its recruitment target, enrolling 350 participants between July 2018 and December 2019 (randomization rate: 0.87 randomizations/site/month, or 3-fold greater than recent trials of mild to moderate AD). The vast majority (98%) of participants were enrolled during a 10-month window of intense promotion in news media, TV and radio advertisements, and social media. The distribution of primary recruitment sources included: existing patient lists at participating sites (72.3%), news media (12.3%), physician referral (6.0%), word of mouth (3.1%), and paid advertising (2.9%). Discussion The rapid recruitment of participants with mild to moderate AD was achieved through a range of approaches with varying success.
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Affiliation(s)
- Aladdin H. Shadyab
- Herbert Wertheim School of Public Health and Human Longevity ScienceUniversity of California, San DiegoLa JollaCaliforniaUSA
- Alzheimer's Disease Cooperative StudyUniversity of California, San DiegoLa JollaCaliforniaUSA
| | - Andrea Z. LaCroix
- Herbert Wertheim School of Public Health and Human Longevity ScienceUniversity of California, San DiegoLa JollaCaliforniaUSA
- Alzheimer's Disease Cooperative StudyUniversity of California, San DiegoLa JollaCaliforniaUSA
| | - Genevieve Matthews
- Alzheimer's Disease Cooperative StudyUniversity of California, San DiegoLa JollaCaliforniaUSA
| | - Daniel Bennett
- Alzheimer's Disease Cooperative StudyUniversity of California, San DiegoLa JollaCaliforniaUSA
| | - Alexandre A. Shadyab
- Alzheimer's Disease Cooperative StudyUniversity of California, San DiegoLa JollaCaliforniaUSA
| | - Donna Tan
- Alzheimer's Disease Cooperative StudyUniversity of California, San DiegoLa JollaCaliforniaUSA
| | - Ronald G. Thomas
- Herbert Wertheim School of Public Health and Human Longevity ScienceUniversity of California, San DiegoLa JollaCaliforniaUSA
- Alzheimer's Disease Cooperative StudyUniversity of California, San DiegoLa JollaCaliforniaUSA
| | - Jennifer Mason
- Alzheimer's Disease Cooperative StudyUniversity of California, San DiegoLa JollaCaliforniaUSA
| | - Alex Lopez
- Alzheimer's Disease Cooperative StudyUniversity of California, San DiegoLa JollaCaliforniaUSA
| | - Brianna Askew
- Alzheimer's Disease Cooperative StudyUniversity of California, San DiegoLa JollaCaliforniaUSA
| | - Lia Donahue
- Biohaven Pharmaceuticals, Inc.New HavenConnecticutUSA
| | | | | | - Branko Huisa
- Alzheimer's Disease Cooperative StudyUniversity of California, San DiegoLa JollaCaliforniaUSA
| | - Howard H. Feldman
- Alzheimer's Disease Cooperative StudyUniversity of California, San DiegoLa JollaCaliforniaUSA
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Abstract
Background Sedentary behavior is associated with cardiovascular disease, but its association with incident atrial fibrillation is not well studied. Our aim was to measure the association between objectively measured sedentary behavior and incident atrial fibrillation. Methods and Results Sedentary behavior was measured by a triaxial accelerometer worn on a belt for 1 week. Incident atrial fibrillation was ascertained from Medicare claims. The associations between total sedentary time (or patterns of sedentary behavior) and incident atrial fibrillation were assessed using Cox proportional hazards models adjusted for demographic and clinical covariates. Among 2675 participants (mean age, 78.2 years), there were 268 (10.0%) cases of incident atrial fibrillation at a rate of 31 cases per 1000 person‐years. Greater total sedentary time was associated with a higher risk of incident atrial fibrillation after adjustment for age, race and ethnicity, body mass index, education, smoking history, hypertension, diabetes, stroke, heart disease, and other chronic conditions (quartile 4 versus quartile 1: hazard ratio, 1.20, [95% CI, 0.81–1.78]; P for trend=0.05). After adjusting for physical function and self‐rated health, this was no longer statistically significant. Both longer mean sedentary bout duration and more continuous sedentary periods (versus frequent breaks in sedentary time) were also associated with higher risks of incident atrial fibrillation, but these associations were also attenuated with serial adjustment. Conclusions Total sedentary time and prolonged patterns of sedentary accumulation were associated with a higher risk of atrial fibrillation in this prospective study of community‐dwelling older women, but these associations were attenuated by adjustment for physical function and self‐reported health. This suggests that associations between sedentary behavior and atrial fibrillation may be attributable to global measures of overall function and health.
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Affiliation(s)
- Brian C. Boursiquot
- Department of Medicine Columbia University Irving Medical Center New York NY
| | - John Bellettiere
- Department of Family Medicine and Public Health University of California San Diego La Jolla CA
| | - Michael J. LaMonte
- Department of Epidemiology and Environmental Health School of Public Health and Health Professions University at Buffalo–SUNY Buffalo NY
| | - Andrea Z. LaCroix
- Department of Family Medicine and Public Health University of California San Diego La Jolla CA
| | - Marco V. Perez
- Division of Cardiovascular Medicine Department of Medicine Stanford University Stanford CA
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Srinivasan S, Hua X, Wu MC, Proll S, Valint DJ, Reed SD, Guthrie KA, LaCroix AZ, Larson JC, Pepin R, Bhasin S, Raftery D, Fredricks DN, Mitchell CM. Impact of Topical Interventions on the Vaginal Microbiota and Metabolome in Postmenopausal Women: A Secondary Analysis of a Randomized Clinical Trial. JAMA Netw Open 2022; 5:e225032. [PMID: 35353163 PMCID: PMC8968546 DOI: 10.1001/jamanetworkopen.2022.5032] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
IMPORTANCE Postmenopausal women with genitourinary symptoms of menopause are often prescribed vaginal estradiol or moisturizer for symptom improvement, but the impact of these treatments on the local microenvironment is poorly understood. OBJECTIVE To compare changes in the vaginal microbiota, metabolome, and pH among women using low-dose vaginal estradiol tablet or low pH moisturizer gel for 12-weeks vs low pH placebo. DESIGN, SETTING, AND PARTICIPANTS This is a post hoc prespecified secondary analysis of a 12-week multicenter randomized clinical trial among postmenopausal women with moderate to severe genitourinary symptoms. Women were enrolled between April 2016 and February 2017; final follow-up visits occurred in April 2017. Data were analyzed from November 2018 to July 2021. INTERVENTIONS Ten-μg vaginal estradiol plus placebo gel vs placebo tablet plus vaginal moisturizer vs dual placebo. MAIN OUTCOMES AND MEASURES The main outcome measures were changes in the diversity and composition of the vaginal microbiota, changes in the metabolome, and pH. RESULTS Of 302 postmenopausal women from the parent trial, 144 women (mean [SD] age, 61 [4] years) were included in this analysis. After 12 weeks, the microbiota was dominated with Lactobacillus and Bifidobacterium communities among 36 women (80%) in the estradiol group, compared with 16 women (36%) using moisturizer and 13 women (26%) using placebo (P < .001). The composition of vaginal fluid metabolites also varied after 12-weeks among women in the estradiol group with significant changes in 90 of 171 metabolites measured (53%) (P < .001), including an increase in lactate. The 12-week pH among women in the estradiol group was lower vs placebo (median [IQR] pH, 5 [4.5-6.0] vs 6 [5.5-7.0]; P = .005) but not the moisturizer group vs placebo (median [IQR] pH, 6 [5.5-6.5]; P = .28). There was a decrease in pH from baseline to 12-weeks within the moisturizer (median [IQR] pH, 7 [6.0-7.5] vs 6 [5.5-6.5]; P < .001) and placebo (median [IQR] pH, 7 [7.0-7.5] vs 6 [5.5-7.0]; P < .001) groups. Women with high-diversity bacterial communities at baseline exhibited greater median change in pH compared with women with low-diversity communities (median [IQR] change, -1 [-2 to -0.5] vs -0.3 [-1.1 to 0], P = .007). CONCLUSIONS AND RELEVANCE This secondary analysis of a randomized clinical trial found that use of vaginal estradiol tablets resulted in substantial changes in the vaginal microbiota and metabolome with a lowering in pH, particularly in women with high-diversity bacterial communities at baseline. Low pH moisturizer or placebo did not significantly impact the vaginal microbiota or metabolome despite lowering the vaginal pH. Estradiol use may offer additional genitourinary health benefits to postmenopausal women. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT02516202.
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Affiliation(s)
- Sujatha Srinivasan
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Xing Hua
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Michael C. Wu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Sean Proll
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - D. J. Valint
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Susan D. Reed
- Department of Obstetrics and Gynecology, University of Washington, Seattle
| | - Katherine A. Guthrie
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Andrea Z. LaCroix
- Herbert Wertheim School of Public Health, University of California, San Diego
| | - Joseph C. Larson
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Robert Pepin
- Department of Anesthesia & Pain Medicine, University of Washington, Seattle
| | - Shalender Bhasin
- Research Program in Men’s Health, Aging and Metabolism, Department of Medicine, Boston Claude D. Pepper Older Americans Independence Center, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Daniel Raftery
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
- Department of Anesthesia & Pain Medicine, University of Washington, Seattle
| | - David N. Fredricks
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
- Department of Medicine, University of Washington, Seattle
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Nguyen S, Bellettiere J, Wang G, Di C, Natarajan L, LaMonte MJ, LaCroix AZ. Accelerometer-Derived Daily Life Movement Classified by Machine Learning and Incidence of Cardiovascular Disease in Older Women: The OPACH Study. J Am Heart Assoc 2022; 11:e023433. [PMID: 35191326 PMCID: PMC9075073 DOI: 10.1161/jaha.121.023433] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Background Current physical activity guidelines focus on volume and intensity for CVD prevention rather than common behaviors responsible for movement, including those for daily living activities. We examined the associations of a machine-learned, accelerometer-measured behavior termed daily life movement (DLM) with incident CVD. Methods and Results Older women (n=5416; mean age, 79±7 years; 33% Black, 17% Hispanic) in the Women's Health Initiative OPACH (Objective Physical Activity and Cardiovascular Health) study without prior CVD wore ActiGraph GT3X+ accelerometers for up to 7 days from May 2012 to April 2014 and were followed for physician-adjudicated incident CVD through February 28th, 2020 (n=616 events). DLM was defined as standing and moving in a confined space such as performing housework or gardening. Cox models estimated hazard ratios (HR) and 95% CI, adjusting for age, race and ethnicity, education, alcohol use, smoking, multimorbidity, self-rated health, and physical function. Restricted cubic splines examined the linearity of the DLM-CVD dose-response association. We examined effect modification by age, body mass index, Reynolds Risk Score, and race and ethnicity. Adjusted HR (95% CIs) across DLM quartiles were: 1.00 (reference), 0.68 (0.55-0.84), 0.70 (0.56-0.87), and 0.57 (0.45-0.74); p-trend<0.001. The HR (95% CI) for each 1-hour increment in DLM was 0.86 (0.80-0.92) with evidence of a linear dose-response association (p non-linear>0.09). There was no evidence of effect modification by age, body mass index, Reynolds Risk Score, or race and ethnicity. Conclusions Higher DLM was independently associated with a lower risk of CVD in older women. Describing the beneficial associations of physical activity in terms of common behaviors could help older adults accumulate physical activity.
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Affiliation(s)
- Steve Nguyen
- Herbert Wertheim School of Public Health and Longevity Science University of California San Diego La Jolla CA
| | - John Bellettiere
- Herbert Wertheim School of Public Health and Longevity Science University of California San Diego La Jolla CA
| | - Guangxing Wang
- Division of Public Health Sciences Fred Hutchinson Cancer Research Center Seattle WA
| | - Chongzhi Di
- Division of Public Health Sciences Fred Hutchinson Cancer Research Center Seattle WA
| | - Loki Natarajan
- Herbert Wertheim School of Public Health and Longevity Science University of California San Diego La Jolla CA
| | - Michael J LaMonte
- Department of Epidemiology and Environmental Health School of Public Health and Health Professions University at Buffalo - SUNY Buffalo NY
| | - Andrea Z LaCroix
- Herbert Wertheim School of Public Health and Longevity Science University of California San Diego La Jolla CA
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Lewis T, Flores S, Sabacan L, Choy P, Thannickal H, Shieh Y, Tice J, Ziv E, Madlensky L, Eklund M, Yau C, Blanco A, Tong B, Goodman D, Anderson N, Harvey H, Fors S, Park HL, Raouf S, Stewart S, Wernisch J, Koenig B, Kaplan C, Hiatt R, Wenger N, Lee V, Heditsian D, Brain S, Moorehead D, Parker BA, Borowsky A, Anton-Culver H, Naeim A, Kaster A, van ‘t Veer L, LaCroix AZ, Olopade OI, Sheth D, Garcia A, Lancaster R, Plaza M, Fiscalini AS, Esserman L. Abstract P5-19-04: The WISDOM study: Reducing sequential steps and implementing parallel workflows in pragmatic trials. Cancer Res 2022. [DOI: 10.1158/1538-7445.sabcs21-p5-19-04] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background:The WISDOM Study is a preference-tolerant pragmatic study, comparing annual mammograms to a risk-based screening. Eligibility includes women ages 40-74 years with no history of breast cancer or DCIS. Participants are enrolled to one study arm: annual screening or risk-based screening (includes genetic testing). Pragmatic trials often involve gathering real-time data over multiple time points. Collecting real-time data sequentially can limit enrollment, delay study assignments, and reduce participant engagement. The WISDOM Study has identified such bottlenecks and has implemented parallel workflows, reducing the overall wait time for participants to complete required study steps. These data highlight how moving participants through the study more efficiently can improve enrollment and retention and inform other pragmatic trials. Methods: WISDOM participants have the option to either choose their study arm or be randomized into one as part of the preference tolerant randomized trial design. Participants then complete breast health questionnaires and genetic testing (if in the risk-based arm). This information is analyzed by the WISDOM breast cancer risk assessment algorithm, the result of which is then communicated to the participant through a screening assignment letter (SAL). Specific data elements, such as breast density found participants’ mammogram reports and genetic testing results are required for study randomization process and risk assessment calculations, respectively. The WISDOM randomization algorithm is stratified by several factors, including breast cancer risk estimated using the Breast Cancer Surveillance Consortium (BCSC) model, which uses mammographic density as a key input variable. The study team changed the workflow to allow participants to proceed to randomization without specific information by imputing both density and risk. Additionally, a parallel workflow improvement process was implemented to obtain mammogram reports while genetic testing was being completed. Results: Before the weighted BCSC and imputed density algorithms were introduced, it took an average of 47 days to randomize participants after completion of the baseline enrollment questionnaires. Now, participants are randomized immediately which has reduced delays by 100%. Prior to implementing the parallel workflow for genetic testing and mammogram ascertainment, genetic testing kits were sent only after mammogram reports were collected and validated. The expected turnaround time for genetic testing results was 30-60 days and on average, results were returned to participants in 42 days. Streamlining the study design to obtain mammogram reports while participants complete their genetic testing has shortened the time for participants to receive their screening assignment letters (SALs) from an average of 160 days to 78 days, a reduction by 49%. In comparison, participants in the annual arm of the study who do not complete genetic testing, receive their SALs after an average of 38 days from enrollment. This is due to long wait times to obtain mammographic densities from outside medical facilities. Conclusions: Creating parallel data ascertainment workflows and reducing sequential steps in the study process has increased completion of individual enrollment activities. Participants now are randomized immediately upon joining the study and have access to their SALs and genetic results more rapidly. This approach eliminated randomization wait times and improved efficiency of the early in the enrollment process. We are evaluating the impact on participant retention going forward. Workflow efficiency is critical to improve the patient experience, and our learnings can inform future trial design, particularly for studies requiring data from outside sources.
Citation Format: Tomiyuri Lewis, Stephanie Flores, Leah Sabacan, Patricia Choy, Halle Thannickal, Yiwey Shieh, Jeffrey Tice, Elad Ziv, Lisa Madlensky, Martin Eklund, Christina Yau, Amie Blanco, Barry Tong, Deborah Goodman, Nancy Anderson, Heather Harvey, Steele Fors, Hannah L Park, Samrrah Raouf, Skye Stewart, Janet Wernisch, Barbara Koenig, Celia Kaplan, Robert Hiatt, Neil Wenger, Vivian Lee, Diane Heditsian, Susie Brain, Dolores Moorehead, Barbara A Parker, Alexander Borowsky, Hoda Anton-Culver, Arash Naeim, Andrea Kaster, Laura van ‘t Veer, Andrea Z LaCroix, Olufunmilayo I Olopade, Deepa Sheth, Agustin Garcia, Rachel Lancaster, Michael Plaza, Wisdom Study, Athena Breast Health Network Investigators, Advocate Partners, Allison S Fiscalini, Laura Esserman. The WISDOM study: Reducing sequential steps and implementing parallel workflows in pragmatic trials [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P5-19-04.
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Affiliation(s)
- Tomiyuri Lewis
- University of California, San Francisco, San Francisco, CA
| | | | - Leah Sabacan
- University of California, San Francisco, San Francisco, CA
| | - Patricia Choy
- University of California, San Francisco, San Francisco, CA
| | | | - Yiwey Shieh
- University of California, San Francisco, San Francisco, CA
| | - Jeffrey Tice
- University of California, San Francisco, San Francisco, CA
| | - Elad Ziv
- University of California, San Francisco, San Francisco, CA
| | | | | | - Christina Yau
- University of California, San Francisco, San Francisco, CA
| | - Amie Blanco
- University of California, San Francisco, San Francisco, CA
| | - Barry Tong
- University of California, San Francisco, San Francisco, CA
| | | | | | | | - Steele Fors
- University of California, San Diego, San Diego, CA
| | | | | | | | | | - Barbara Koenig
- University of California, San Francisco, San Francisco, CA
| | - Celia Kaplan
- University of California, San Francisco, San Francisco, CA
| | - Robert Hiatt
- University of California, San Francisco, San Francisco, CA
| | - Neil Wenger
- University of California, Los Angeles, Los Angeles, CA
| | - Vivian Lee
- University of California, San Francisco, San Francisco, CA
| | | | - Susie Brain
- University of California, San Francisco, San Francisco, CA
| | | | | | | | | | - Arash Naeim
- University of California, Los Angeles, Los Angeles, CA
| | | | | | | | | | | | | | | | | | | | - Laura Esserman
- University of California, San Francisco, San Francisco, CA
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Choy P, Lewis T, Flores S, Sabacan L, Thannickal H, Goodman S, Shieh Y, Madlensky L, Tice JA, Ziv E, Eklund M, Blanco A, Tong B, Goodman D, Anderson N, Harvey H, Fors S, Park HL, Petruse A, Stewart S, Raouf S, Wernisch J, Koenig B, Kaplan C, Hiatt R, Wenger N, Lee V, Heditsian D, Brain S, Moorehead D, Parker BA, Borowsky A, Anton-Culver H, Naeim A, Kaster A, van 't Veer L, LaCroix AZ, Olopade OI, Sheth D, Garcia A, Lancaster R, James J, Joseph G, Study W, Fiscallini AS, Esserman L. Abstract P5-19-01: The impact of streamlined processes and patient-directed messaging to improve enrollment in a remote, pragmatic clinical trial. Cancer Res 2022. [DOI: 10.1158/1538-7445.sabcs21-p5-19-01] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background Recent advances in technology have made it possible to conduct remote clinical trials that allow individuals to participate from home with comfort, privacy, and ease. Despite these advances, challenges persist in running remote trials, such as survey question redundancies, lack of patient-initiated data-sharing tools, and unclear patient communication around critical enrollment steps. The Women Informed to Screen Depending on Measures of risk (WISDOM) Study is a pragmatic, preference-tolerant randomized control breast cancer screening trial comparing personalized risk-based screening to traditional, annual screening. The study population includes women ages 40-74 without a history of breast cancer or DCIS. Since 2016, study enrollment has been available to all women in the U.S. who meet study eligibility criteria. Since October 2020, WISDOM has implemented multiple strategies to improve participant experience: participant-initiated data-sharing tools and clear participant messaging. This abstract presents the efficacy of these interventions as they relate to increasing patient enrollment in remote, pragmatic clinical trials. Methods The WISDOM Study online enrollment process includes registration, participant study arm selection or randomization, online consent, and enrollment (submission of multiple study surveys over a secure, online platform). Barriers to online enrollment were uncovered through an internally-conducted needs assessment of participants who enrolled between 2019-2020, and participant feedback obtained through phone interviews conducted by WISDOM’s embedded ethics study. Improvements to our online enrollment procedures were executed in October 2020 and included: improving the clarity of study arm selection options, streamlining data collection surveys, and enacting a secure, patient-initiated online data-sharing tool and an online portal feature with auto-launch of critical information. Study metrics were obtained through Google Analytics and Salesforce. Results Prior to the end of 2020, only 62% of the 30,046 participants who registered for the WISDOM Study completed study enrollment. After improving the enrollment process, of the 5,334 participants registered for the study between Jan-June 2021, 69% completed the enrollment process finishing both the online consent and survey forms. Conversion from consent to enrollment went from 78% in January 2020 to 93% in June 2021. Currently, 56% participants complete enrollment in one day. Streamlining online patient questionnaires led to an increase in completion rates, with 75% of participants completing their yearly surveys, compared to 59% prior to April 2021. A secure patient upload feature for data sharing led to 1,054 participants successfully sharing their mammogram reports with WISDOM between March - June 2021. Previously, mammogram reports were missing for 20% of enrolled participants. This feature has enabled WISDOM to process 300 additional mammogram reports per month. Integration of an auto-launch feature in the participant’s portal in Feb 2021 has led to a 17% increase in participants viewing their screening recommendations in Yr 1. Prior to auto-launch, only 59% (n=6328) of Yr 1 screening recommendations and 61% (n=3681) of genetic testing reports were viewed by participants. Since implementation, the numbers increased to 78% (n=8406) and 85% (n=5160), respectively. Conclusions. Streamlining data to the most essential elements, and minimizing the steps required to share clinical documents, complete questionnaires and open key study notification is essential to improving enrollment rates in virtual, pragmatic trials. Patient-initiated data-sharing tools such as the ability for participants to share documents through secure, online portals is one example of success.
Citation Format: Patricia Choy, Tomiyuri Lewis, Stephanie Flores, Leah Sabacan, Halle Thannickal, Steffanie Goodman, Yiwey Shieh, Lisa Madlensky, Jeffrey A. Tice, Elad Ziv, Martin Eklund, Amie Blanco, Barry Tong, Deborah Goodman, Nancy Anderson, Heather Harvey, Steele Fors, Hannah Lui Park, Antonia Petruse, Skye Stewart, Samrrah Raouf, Janet Wernisch, Barbara Koenig, Celia Kaplan, Robert Hiatt, Neil Wenger, Vivian Lee, Diane Heditsian, Susie Brain, Dolores Moorehead, Barbara A Parker, Alexander Borowsky, Hoda Anton-Culver, Arash Naeim, Andrea Kaster, Laura van 't Veer, Andrea Z LaCroix, Olufunmilayo I. Olopade, Deepa Sheth, Agustin Garcia, Rachel Lancaster, Jennifer James, Galen Joseph, Wisdom Study, Athena Breast Health Network Investigators and Advocates, Allison Stover Fiscallini, Laura Esserman. The impact of streamlined processes and patient-directed messaging to improve enrollment in a remote, pragmatic clinical trial [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P5-19-01.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Elad Ziv
- UC San Francisco, San Francisco, CA
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Golaszewski NM, LaCroix AZ, Godino JG, Allison MA, Manson JE, King JJ, Weitlauf JC, Bea JW, Garcia L, Kroenke CH, Saquib N, Cannell B, Nguyen S, Bellettiere J. Evaluation of Social Isolation, Loneliness, and Cardiovascular Disease Among Older Women in the US. JAMA Netw Open 2022; 5:e2146461. [PMID: 35107574 PMCID: PMC8811637 DOI: 10.1001/jamanetworkopen.2021.46461] [Citation(s) in RCA: 45] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Abstract
IMPORTANCE Social isolation and loneliness are increasing public health concerns and have been associated with increased risk of cardiovascular disease (CVD) among older adults. OBJECTIVE To examine the associations of social isolation and loneliness with incident CVD in a large cohort of postmenopausal women and whether social support moderated these associations. DESIGN, SETTING, AND PARTICIPANTS This prospective cohort study, conducted from March 2011 through March 2019, included community-living US women aged 65 to 99 years from the Women's Health Initiative Extension Study II who had no history of myocardial infarction, stroke, or coronary heart disease. EXPOSURES Social isolation and loneliness were ascertained using validated questionnaires. MAIN OUTCOMES AND MEASURES The main outcome was major CVD, which was physician adjudicated using medical records and included coronary heart disease, stroke, and death from CVD. Continuous scores of social isolation and loneliness were analyzed. Hazard ratios (HRs) and 95% CIs for CVD were calculated for women with high social isolation and loneliness scores (midpoint of the upper half of the distribution) vs those with low scores (midpoint of the lower half of the distribution) using multivariable Cox proportional hazards regression models adjusting for age, race and ethnicity, educational level, and depression and then adding relevant health behavior and health status variables. Questionnaire-assessed social support was tested as a potential effect modifier. RESULTS Among 57 825 women (mean [SD] age, 79.0 [6.1] years; 89.1% White), 1599 major CVD events occurred over 186 762 person-years. The HR for the association of high vs low social isolation scores with CVD was 1.18 (95% CI, 1.13-1.23), and the HR for the association of high vs low loneliness scores with CVD was 1.14 (95% CI, 1.10-1.18). The HRs after additional adjustment for health behaviors and health status were 1.08 (95% CI, 1.03-1.12; 8.0% higher risk) for social isolation and 1.05 (95% CI, 1.01-1.09; 5.0% higher risk) for loneliness. Women with both high social isolation and high loneliness scores had a 13.0% to 27.0% higher risk of incident CVD than did women with low social isolation and low loneliness scores. Social support was not a significant effect modifier of the associations (social isolation × social support: r, -0.18; P = .86; loneliness × social support: r, 0.78; P = .48). CONCLUSIONS AND RELEVANCE In this cohort study, social isolation and loneliness were independently associated with modestly higher risk of CVD among postmenopausal women in the US, and women with both social isolation and loneliness had greater CVD risk than did those with either exposure alone. The findings suggest that these prevalent psychosocial processes merit increased attention for prevention of CVD in older women, particularly in the era of COVID-19.
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Affiliation(s)
- Natalie M. Golaszewski
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego
| | - Andrea Z. LaCroix
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego
| | - Job G. Godino
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego
- Laura Rodriguez Research Institute, Family Health Centers of San Diego, San Diego, California
- Center for Wireless and Population Health Systems, University of California, San Diego
- Exercise and Physical Activity Resource Center, University of California, San Diego
| | - Matthew A. Allison
- Division of Preventive Medicine, Department of Family Medicine, University of California, San Diego
| | - JoAnn E. Manson
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Jennifer J. King
- Department of Health Promotion Sciences, University of Arizona Cancer Center, Tucson, Arizona
| | - Julie C. Weitlauf
- Veterans Affairs Palo Alto Health Care System, Stanford University School of Medicine, Stanford, California
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California
| | - Jennifer W. Bea
- Department of Health Promotion Sciences, University of Arizona Cancer Center, Tucson, Arizona
| | - Lorena Garcia
- University of California Davis School of Medicine, Davis
| | | | - Nazmus Saquib
- Department of Clinical Sciences, College of Medicine, Sulaiman Al Rajhi University, Al Bukayriyah, Saudi Arabia
| | - Brad Cannell
- Department of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas Health Science Center at Houston School of Public Health–Dallas Campus
| | - Steve Nguyen
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego
| | - John Bellettiere
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego
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Garduno AC, LaCroix AZ, LaMonte MJ, Dunstan DW, Evenson KR, Wang G, Di C, Schumacher BT, Bellettiere J. Associations of Daily Steps and Step Intensity With Incident Diabetes in a Prospective Cohort Study of Older Women: The OPACH Study. Diabetes Care 2022; 45:339-347. [PMID: 35050362 PMCID: PMC8914434 DOI: 10.2337/dc21-1202] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 11/12/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE The primary aim was to assess associations between total steps per day and incident diabetes, whereas the secondary aim was to assess whether the intensity and/or cadence of steps is associated with incident diabetes. RESEARCH DESIGN AND METHODS Women without physician-diagnosed diabetes (n = 4,838; mean [SD] age 78.9 [6.7] years) were followed up to 6.9 years; 395 developed diabetes. Hip-worn ActiGraph GT3X+ accelerometers worn for 1 week enabled measures of total, light-intensity, and moderate- to vigorous-intensity (MV-intensity) steps per day. Using Cox proportional hazards analysis we modeled adjusted change in the hazard rate for incident diabetes associated with total, light-intensity, and MV-intensity steps per day. We further estimated the proportion of the steps-diabetes association mediated by BMI. RESULTS On average, participants took 3,729 (SD 2,114) steps/day, of which 1,875 (791) were light-intensity steps and 1,854 ± 1,762 were MV-intensity. More steps per day were associated with a lower hazard rate for incident diabetes. Confounder-adjusted models for a 2,000 steps/day increment yielded hazard ratio (HR) 0.88 (95% CI 0.78-1.00; P = 0.046). After further adjustment for BMI, HR was 0.90 (95% CI 0.80-1.02; P = 0.11). BMI did not significantly mediate the steps-diabetes association (proportion mediated = 17.7% [95% CI -55.0 to 142.0]; P = 0.09]). The relationship between MV-intensity steps per day (HR 0.86 [95% CI 0.74-1.00]; P = 0.04) and incident diabetes was stronger than for light-intensity steps per day (HR 0.97 [95% CI 0.73-1.29]; P = 0.84). CONCLUSIONS These findings suggest that for older adults, more steps per day are associated with lower incident diabetes and MV-intensity steps are most strongly associated with a lower hazard of diabetes. This evidence supports that regular stepping is an important risk factor for type 2 diabetes prevention in older adults.
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Affiliation(s)
- Alexis C Garduno
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, San Diego, CA.,Division of Epidemiology and Biostatistics, School of Public Health, San Diego State University, San Diego, CA
| | - Andrea Z LaCroix
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, San Diego, CA
| | - Michael J LaMonte
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo-SUNY, Buffalo, NY
| | - David W Dunstan
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.,Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Victoria, Australia
| | - Kelly R Evenson
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Guangxing Wang
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Chongzhi Di
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Benjamin T Schumacher
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, San Diego, CA.,Division of Epidemiology and Biostatistics, School of Public Health, San Diego State University, San Diego, CA
| | - John Bellettiere
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, San Diego, CA
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