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Importance: Women often experience physiological and functional changes in their health during midlife. Identifying women who have clinically important improvements in physical health and function and evaluating the factors associated with these improvements can identify intervention targets at midlife., Objective: To identify factors associated with improvements in physical health and function among women during midlife., Design, Setting, and Participants: Participants were part of the Study of Women's Health Across the Nation (SWAN), a diverse cohort of US women early in midlife, and followed up annually for up to 21 years between 1996 and 2017. Analyses were based on visit 8 (2004-2006) through visit 15 (2015-2017). Statistical analysis was conducted from October 2021 to March 2023., Exposures: Sociodemographic indicators, health status measures, and comorbidities measured at visit 8., Main Outcomes and Measures: The main outcome was a clinically important (≥5 points) improvement in the physical component score (PCS) of the 36-item Short-Form Health Survey between visit 8 and visit 15., Results: Of the 1807 women (at visit 8: mean [SD] age, 54.5 [2.7] years; 898 [50%] White participants) in SWAN who qualified for analysis, 265 (15%) experienced a clinically important improvement in PCS over a median of 11.1 years (IQR, 10.9-11.4 years). Factors associated with improvement in PCS included no financial strain (odds ratio [OR], 1.73; 95% CI, 1.18-2.52), no sleep disturbances (OR, 1.43; 95% CI, 1.05-1.96), no osteoarthritis (OR, 1.42; 95% CI, 1.01-1.99), and having a higher physical activity score (OR, 1.17; 95% CI, 1.00-1.37) as assessed at visit 8. Women who had a higher PCS at visit 8 (OR, 0.84; 95% CI, 0.83-0.86), who had a higher body mass index (OR, 0.95; 95% CI, 0.93-0.97), or who were taking more medications (OR, 0.93; 95% CI, 0.88-0.98) had lower odds of an improved PCS., Conclusions and Relevance: This cohort study of women in midlife suggests that approximately 15% of women experienced clinically important improvements in health and function over an 11-year period. Several potentially modifiable factors associated with improvements may inform women of variables to target for future interventions.

Purpose: To examine physical activity (PA) patterns from pre- to post-diagnosis, and compare these changes to women without breast cancer. To determine pre-diagnosis predictors of PA change, post-diagnosis, in breast cancer survivors (BCS)., Methods: Data were from 2314 Study of Women's Health Across the Nation (SWAN) participants, average age of 46.4 ± 2.7 years at baseline (1996-1997). In Pink SWAN, 151 women who reported an incident breast cancer diagnosis over 20 years were classified as BCS; the remaining 2163 women were controls. LOESS plots and linear mixed models were used to illustrate and compare PA changes (sports/exercise [primary measure] and total PA) from pre- to post-diagnosis (or corresponding period) in BCS versus controls. Adjusted linear regression models were used to determine pre-diagnosis predictors of at-risk post-diagnosis PA change patterns (consistently low and decreased PA)., Results: No differences in pre- to post-diagnosis PA (or corresponding period) were observed in BCS versus controls. Among BCS, the odds of at-risk post-diagnosis PA change patterns was 2.50 (95% CI 0.96-6.48) times higher for those who reported sleep problems at ≥ 50% (compared to 0%) of pre-diagnosis visits and 3.49 (95% CI 1.26-9.65) times higher for those who were overweight or obese at all (compared to no) pre-diagnosis visits. No other statistically significant predictors were noted., Conclusions: Age-related declines in PA were not amplified by a breast cancer diagnosis. Given the beneficial role of PA across the cancer control continuum, efforts to increase or maintain adequate PA, post-diagnosis, should be continued., Implications for Cancer Survivors: While age-related physical activity declines were not amplified breast cancer diagnosis, efforts to identify breast cancer survivors at increased risk for post-diagnosis physical activity declines (or maintenance of low activity) may be a high-yield strategy to improve prognosis and quality of life.