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BackgroundTo investigate the association between walking pace and the risk of heart failure (HF) and HF sub-types.MethodsWe examined associations of self-reported walking pace with risk of incident HF and HF subtypes of preserved (HFpEF) and reduced (HFrEF) ejection fractions, among 25,183 postmenopausal women, ages 50-79 years. At enrollment into the Women's Health Initiative cohort in 1993-1998, this subset of women was free of HF, cancer, or the inability to walk one block, with self-reported information on walking pace and walking duration. Multivariable Cox regression was used to examine associations of walking pace (casual 3 mph) with incident HF. We also examined the joint association of walking pace and duration with incident HF.ResultsThere were 1455 incident adjudicated acute decompensated HF hospitalization cases during a median of 16.9 years of follow-up. There was a strong inverse association between walking pace and overall risk of HF (HR = 0.73, 95% CI [0.65, 0.83] for average vs. casual walking; HR = 0.66, 95%CI [0.56, 0.78] for fast vs. casual walking). There were similar associations of walking pace with HFpEF (HR = 0.73, 95%CI [0.62, 0.86] average vs. casual; HR = 0.63, 95%CI [0.50, 0.80] for fast vs. casual) and with HFrEF (HR = 0.72, 95%CI [0.57, 0.91] for average vs. casual; HR = 0.74, 95%CI [0.54, 0.99] for fast vs. casual). The risk of HF associated with fast walking with less than 1 h/week walking duration was comparable with the risk of HF among casual and average walkers with more than 2 h/week walking duration.ConclusionWalking pace was inversely associated with risks of overall HF, HFpEF, and HFrEF in postmenopausal women. Whether interventions to increase the walking pace in older adults will reduce HF risk and whether fast pace will compensate for the short duration of walking warrants further study.

OBJECTIVE: We studied associations between social support, social network size, social strain, or stressful life events and risk of coronary heart disease (CHD) in postmenopausal women with type 2 diabetes. RESEARCH DESIGN AND METHODS: From the Womens Health Initiative, 5,262 postmenopausal women with type 2 diabetes at baseline were included. Cox proportional hazards regression models adjusted for demographics, depressive symptoms, anthropometric variables, and lifestyle factors were used to examine associations between social factors and CHD. RESULTS: A total of 672 case subjects with CHD were observed during an average 12.79 (SD 6.29) years of follow-up. There was a significant linear trend toward higher risk of CHD as the number of stressful life events increased (P for trend = 0.01; hazard ratio [HR] [95% CI] for the third and fourth quartiles compared with first quartile: 1.27 [1.03-1.56] and 1.30 [1.04-1.64]). Being married or in an intimate relationship was related to decreased risk of CHD (HR 0.82 [95% CI 0.69-0.97]). CONCLUSIONS: Among postmenopausal women with type 2 diabetes, higher levels of stressful life events were associated with higher risk of CHD. Experience of stressful life events might be considered as a risk factor for CHD among women with type 2 diabetes.

Study objectivesActivities throughout the day, including sleep, sedentary behavior (SB), light-intensity physical activity (LIPA), and moderate to vigorous physical activity (MVPA) are independently associated with cardiometabolic health. Few studies have examined interrelationships between sleep and 24-hour activity and associations with cardiometabolic risk. The objective of this study is to understand how replacing time in SB, LIPA, or MVPA with sleep impacts cardiometabolic risk.MethodsWomen's Health Initiative OPACH Study participants (N = 3329; mean age = 78.5 ± 6) wore ActiGraph GT3X+ accelerometers 24 hours/7 days. Adjusted linear regression estimated the relationship between sleep duration and cardiometabolic markers. Separately for shorter (

OBJECTIVE:To examine the associations of dietary and supplemental magnesium (Mg) as assessed by a semi-quantitative food frequency questionnaire with cognitive outcomes among ageing women. DESIGN:This work conducts a prospective cohort study of participants enrolled in the Women's Health Initiative Memory Study (WHIMS), which was subsequently extended and named WHIMS-Epidemiology of Cognitive Health. SETTING:Forty clinical centres in the USA. PARTICIPANTS:Postmenopausal women aged 65-79 years without dementia on enrolment. MAIN OUTCOME MEASURES:Physician-adjudicated mild cognitive impairment (MCI) and/or probable dementia (PD). RESULTS:Participants were excluded (n=1006) if they had extreme values of dietary energy intake, had missing or extreme body mass index values, with prevalent MCI/PD at baseline, received only one cognitive assessment or had been followed up for 20 years of follow-up, 765 (11.8%) out of 6473 participants developed MCI/PD. For MCI/PD and MCI, the risks tended to be lower among participants in quintiles Q2-Q5 of Mg consumption compared with those in the lowest quintile. Participants in Q3 had a significantly lower risk of MCI/PD (HR 0.69, 95% CI 0.53 to 0.91) and MCI (HR 0.63, 95% CI 0.45 to 0.87) after multivariate adjustments. No significant association was observed between total Mg intake and PD. The association between total Mg intake, MCI/PD and MCI was non-linear as suggested by the likelihood test. CONCLUSIONS:Total Mg intake between the estimated average requirement and the recommended dietary allowances may associate with a lower risk of MCI/PD and MCI. TRIAL REGISTRATION NUMBER:NCT00685009.

In the early stage of the COVID-19 outbreak, a vast majority of research predicted its potential economic impacts based on various possible scenarios, believing that looking forward earlier and recovering better. In contrast, through contrarian thinking from an economic recovery perspective, this study empirically investigates the direct impact of COVID-19 on China's economy. This reveals that China's economy experiences a V-shaped recovery; it is in the recovery process and will achieve the pre-pandemic level in the coming years. Consumption, international trade, and investment indicators are synchronously recovering, which may be attributed to the fact that the pandemic has had little impact on China's economy, although it remarkably hits national consumption, international trade, and investment that are less interrupted. Empirical evidence shows that the pandemic is unlikely to alter China's industrial structure, as it has primarily affected the service and manufacturing sectors while leaving agriculture relatively unaffected. In light of these findings, China's economy is facing challenges beyond the pandemic. By adopting a recovery-oriented contrarian approach, we can better identify the dynamic consequences and optimize economic strategies to mitigate potential long-term impacts on sustainable economic growth. These insights may also help guide economic recovery efforts in other developing countries. [ABSTRACT FROM AUTHOR]