Association of Sedentary Time and Incident Heart Failure Hospitalization in Postmenopausal Women

Adherence to a planetary health diet, genetic susceptibility, and incident cardiovascular disease: a prospective cohort study from the UK Biobank

BACKGROUND

The influence of adherence to a planetary health diet (PHD) proposed by the EAT-Lancet Commission on cardiovascular disease (CVD) is inconclusive. Besides, whether genetic susceptibility to CVD can modify the association of PHD with CVD remains unknown.

OBJECTIVE

We aimed to investigate the association between adherence to PHD and CVD, and to evaluate the interaction between PHD and genetic predisposition to CVD.

METHODS

This study included 114,165 participants who completed at least two 24-hour dietary recalls and were initially free of cardiovascular disease from the UK biobank. PHD score was calculated to assess adherence to PHD. Genetic risk was evaluated using the polygenic risk score. Incidence of total CVD, ischemic heart disease (IHD), atrial fibrillation (AF), heart failure (HF), and stroke were identified via electronic health records. Cox proportional hazards regression models were used to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs).

RESULTS

During a median follow-up of 9.9 years, 10,071 (8.8%) incident CVD cases were documented. Compared to participants with the lowest adherence to PHD, HRs (95% CIs) for total CVD, IHD, AF, HF, and stroke among those with the highest adherence were 0.79 (0.74, 0.84), 0.73 (0.67, 0.79), 0.90 (0.82, 0.99), 0.69 (0.59, 0.82), and 0.88 (0.75, 1.04), respectively. No significant interaction between genetic risk of CVD and PHD was observed. Participants with high genetic risk and low PHD score, as compared with those with low genetic risk and high PHD score, had a 48% (95% CI, 40%, 56%) higher risk of CVD. The population-attributable risk (95% CI) of CVD for poor adherence to PHD ranged from 8.79% (5.36%, 12.51%) to 14.00% (9.00%, 18.88%).

CONCLUSIONS

These findings suggest that higher adherence to PHD was associated with lower risks of total CVD, IHD, AF, and HF in populations across all genetic risk categories.

Impact of COVID-19 on Physical Activity, Fatigue, and Frailty in Community-Dwelling Older Adults: A Cross-Sectional Study

This study aimed to describe the level of physical activity and its relation to fatigue and frailty during the COVID-19 pandemic in community-dwelling older adults aged 80 years and over. Three hundred and ninety-one older adults (aged 86.5 ± 3.00) completed a survey including physical activity, the Mobility Tiredness scale, and the FRAIL scale. Linear regression analysis was conducted to assess whether the variables age, sex, and physical activity (independent factors) were significantly related to fatigue and frailty. Respectively, 30.5% and 24.7% of the participants reported a decrease in walking and in energy-intensive activities; 25.4% reported increased sedentary behavior. A lower level of physical activity was associated with higher levels of fatigue and increased frailty risk (p < .05), independently from psychological symptoms. These results are important because participants with lower levels of physical activity and more sedentary behavior are more likely to feel fatigued and have higher risk to be frail.

Identifying the causal relationship between sedentary behavior and heart failure: Insights from a Mendelian randomization study and mediation analysis

BACKGROUND

Observational studies have revealed that a lack of physical exercise may be linked to a higher risk of heart failure (HF). Here, the causal relationship between sedentary behavior (SB) and HF was investigated using Mendelian randomization (MR).

HYPOTHESIS

SB was considered as an important risk factor of HF.

METHODS

Single nucleotide polymorphisms with a genome-wide statistical significance threshold of <5 × 10-8 among the SB-proxied phenotypes (TV screen time, computer use, and driving) from genome-wide association study (GWAS) datasets were identified as instrumental variables (IVs). The MR study was performed using the inverse-variance weighting (IVW) model as a primary standard to evaluate causal relationships. Simultaneously, MR-Egger regression, weighted median, and maximum likelihood models were used as supplements. Sensitivity analysis, consisting of a heterogeneity and horizontal pleiotropy test, was performed using Cochran's Q, MR-Egger intercept, and MR-PRESSO tests to ensure the reliability of conclusions.

RESULTS

The IVW model results showed that increased TV screen time correlated with a higher genetic susceptibility for HF in both HF-associated GWAS datasets, which was also supported by weighted median and maximum likelihood model results. The odds ratios with 95% confidence intervals were 1.418 (1.182-1.700) and 1.486 (1.136-1.943), respectively. Although the results of Cochran's Q test indicated certain heterogeneity among the IVs. The MR-Egger intercept and MR-PRESSO tests suggested no horizontal pleiotropy and verified the reliability of the conclusion.

CONCLUSIONS

This MR study identified that increased TV screen time may predispose individuals to the development of HF.

The Impact of Physical Activity and Inactivity on Cardiovascular Risk across Women's Lifespan: An Updated Review

Physical inactivity (PI) represents a significant, modifiable risk factor that is more frequent and severe in the female population worldwide for all age groups. The physical activity (PA) gender gap begins early in life and leads to considerable short-term and long-term adverse effects on health outcomes, especially cardiovascular (CV) health. Our review aims to highlight the prevalence and mechanisms of PI across women's lifespan, describing the beneficial effects of PA in many physiological and pathological clinical scenarios and underlining the need for more awareness and global commitment to promote strategies to bridge the PA gender gap and limit PI in current and future female generations.

Adherence to the EAT-Lancet diet, genetic susceptibility, and risk of type 2 diabetes in Swedish adults

BACKGROUND AND AIMS

In 2019, the EAT-Lancet Commission proposed a mainly plant-based diet that nurtures human health and supports environmental sustainability. However, its association with type 2 diabetes (T2D) has not been widely studied, and it remains unclear whether genetic susceptibility for T2D can modify this association. The aim was therefore to investigate the association between the EAT-Lancet diet and risk of T2D and assess whether the association differs by the genetic predisposition to T2D.

METHODS

A total of 24,494 participants from the Malmö Diet and Cancer study were analyzed. Dietary intake was assessed using a modified diet history methodology, and an EAT-Lancet diet index (range from 0 to 42 points) was constructed based on the EAT-Lancet reference diet. National and local registers were used to identify T2D cases during follow-up. Cox proportional hazards regression model was applied to estimate the association between the EAT-Lancet diet index and risk of T2D. Genetic predisposition to T2D was captured based on 116 single nucleotide polymorphisms.

RESULTS

During a median of 24.3 years of follow-up, 4197 (17.1 %) T2D cases were documented. Compared with those with the lowest adherence to the EAT-Lancet diet (≤13 points), participants who had the highest adherence (≥23 points) showed an 18 % (95 % CI: 4 %-30 %) lower risk of T2D (P for trend <0.01). There was no significant multiplicative interaction between genetic predisposition to T2D and the EAT-Lancet diet index (P = 0.59). Also, no significant additive interaction between the genetic risk and the EAT-Lancet diet was seen (P = 0.44). The highest risk was observed among the 22.9 % of the individuals with high genetic risk and low EAT-Lancet diet score (HR = 1.79; 95 % CI: 1.63, 1.96).

CONCLUSIONS

Our findings indicate that high adherence to the EAT-Lancet diet was associated with decreased risk of incident T2D among people with different genetic risks.

Combined effects of physical activity and sedentary behavior on all-cause mortality in heart failure patients: A cohort study of national health and nutrition examination survey analysis

Background

Physical activity and sedentary behavior are independently related to the risk of cardiovascular disease. Physical activity is recognized as having a protective effect, while being sedentary seems to be adverse. Nonetheless, the interactions between physical activity and sedentary behavior and the combined effect on the prognosis of heart failure patients remain unclear.

Methods and results

This cohort study included 886 heart failure patients from the National Health and Nutrition Examination Survey (NHANES) 2007-2018. Physical activity and sedentary behavior were assessed by the NHANES questionnaires. The all-caused deaths of enrolled subjects were identified from National Death Index (NDI) database. During a median follow-up of 51 months, 321 (36.2%) deaths from any causes occurred. Multivariable Cox proportional hazards models were used to estimate the hazard ratios (HRs) and 95% confidence interval (CI) for the all-cause mortality in heart failure patients associated with physical activity and sedentary behavior. Physical activity was independently associated with lower mortality [HR = 0.51, 95% CI (0.38-0.68), p < 0.001] and sedentary behavior was associated with adverse prognosis [HR = 1.79, 95% CI (1.41-2.28), p < 0.001]. Kaplan-Meier survival curve showed that physical activity appeared to attenuate the negative consequences of SB, while sedentary behavior increased the all-cause mortality, particularly those without physical activity.

Conclusion

Physical activity has a protective effect on HF patients' prognosis, particularly those with sedentary behavior. Sedentary behavior independently exhibited a negative association in populations without physical activity, while it does not increase mortality in those with moderate physical activity.

Lifestyle and cardiovascular mortality in menopausal women: a population-based cohort study

INTRODUCTION AND OBJECTIVES

There are models for cardiovascular risk prediction in the general population, but the prediction of risk in postmenopausal women has not been specifically studied. This study aimed to determine the association of lifestyle habits and chronic diseases with cardiovascular risk in menopausal women, as well as to build a risk scale.

METHODS

Retrospective population-based cohort study using data from the 2011 National Health Survey of Spain as a data source, Women ≥ 50 years were included. The characteristics that best defined the life habits of the study women were collected, as well as their health status and self-reported medical history at the time of the survey. Follow-up data on all-cause mortality were obtained from participants from 2011 to 2017.

RESULTS

A total of 5953 women ≥ 50 years of age were included, with a mean age of 66.4 ± 11.4 years. The incidence of cardiovascular mortality in the follow-up period was 4%. Vegetable consumption less than 1 time/week (HR, 1.758), smoking (HR, 1.816) or excess hours of sleep (≥ 9h/day, HR, 1.809), or o have main daily activity sitting most of the time (HR, 2.757) were related to cardiovascular mortality. The predictive model presents an honest C-index in test sample of 0.8407 (95%CI, 0.8025-0.8789).

CONCLUSIONS

Life habits such as the consumption of vegetables, daily main activity, sleeping hours or smoking are risk factors for cardiovascular mortality of great relevance among menopausal women. A simple 6-year self-reported risk scale with high predictive capacity is provided.

The short physical performance battery and incident heart failure among older women: the OPACH study

OBJECTIVE

Reduced functional capacity is a hallmark of early pre-clinical stages of heart failure (HF). The Short Physical Performance Battery (SPPB) is a valid measure of lower extremity physical function, has relatively low implementation burden, and is associated with cardiovascular disease and mortality. However, the SPPB-HF association is understudied in older women among whom HF burden is high.

METHODS

Women (n = 5325; mean age 79 ± 7 years; 34% Black, 18% Hispanic, and 49% White) without prior HF completed the SPPB consisting of standing balance, strength, and walking tests that were summarized as a composite score from 0 (lowest) to 12 (highest), categorized as very low (0-3), low (4-6), medium (7-9), or high (10-12). Participants were followed for up to 8 years for incident HF (306 cases identified). Cox proportional hazards regression estimated hazard ratios (HR) adjusting for age, race/ethnicity, education, smoking, alcohol, diabetes, hypertension, COPD, osteoarthritis, depression, BMI, systolic blood pressure, lipids, glucose, and accelerometer-measured moderate-vigorous physical activity (MVPA) and sedentary time.

RESULTS

Incident HF cases (crude rate per 1000 person-years) in the four SPPB categories (very low to high) were 34 (26.0), 79 (14.5), 128 (9.3), and 65 (5.6). Corresponding multivariable-adjusted HRs (95% CIs) were 2.22 (1.34-3.66), 1.63 (1.11-2.38), 1.39 (1.00-1.94), and 1.00 (referent; P-trend<0.001). Higher HF risk was associated with lower SPPB in women with major modifiable HF risk factors including obesity (HR per 3-unit SPPB decrement: present HR = 1.41, absent HR = 1.41), hypertension (present HR = 1.45, absent HR = 1.30), diabetes (present HR = 1.32, absent HR = 1.44), and lower accelerometer-measured MVPA (<45 min/day HR = 1.29, ≥45 min/day HR = 1.60); all P-interaction>0.10.

CONCLUSION

Lower SPPB scores were associated with greater risk of incident HF in older women even after accounting for differences in HF risk factors and objectively measured PA. Implementing the SPPB in clinical settings could potentially enhance individual-level HF risk assessment, which should be further explored.

Ultra-processed food intake is associated with grip strength decline in middle-aged and older adults: a prospective analysis of the TCLSIH study

PURPOSE

Ultra-processed foods make up more than 50% of daily energy consumed in Western countries and are rapidly increasing in China. However, little is known about the association between ultra-processed food intake and muscle strength, a predictor for physical disability in senior years. We aimed to investigate the association of ultra-processed food intake with longitudinal changes in grip strength among middle-aged and older Chinese adults.

METHODS

This prospective cohort study included a total of 5409 adults aged 40 years and over (61.3% men). Ultra-processed food intake was obtained by means of a validated food frequency questionnaire and classified according to the NOVA classification system. Grip strength was measured annually using a handheld digital dynamometer. Multivariable linear regression models were used to examine the association between ultra-processed food intake and annualized change in grip strength and weight-adjusted grip strength.

RESULTS

In the fully adjusted models, annualized changes in grip strength and weight-adjusted grip strength per 10% increment in the proportion of ultra-processed foods in the diet were - 0.3708 kg (95% confidence interval - 0.5687, - 0.1730; P < 0.001) and - 0.0057 kg/kg (95% confidence interval - 0.0086, - 0.0029; P < 0.0001), respectively. In analyses stratified by age, sex, body mass index, physical activity, hypertension, hyperlipidemia, diabetes, and healthy diet score, such associations were largely consistent in most subgroups (all P for interaction > 0.05).

CONCLUSIONS

Our data indicate that higher ultra-processed food intake was associated with faster grip strength decline in middle-aged and older Chinese adults.

Fatigue and the prediction of negative health outcomes: A systematic review with meta-analysis

INTRODUCTION

Fatigue is a common complaint among older adults. Evidence grows that fatigue is linked to several negative health outcomes. A general overview of fatigue and its relationship with negative health outcomes still lacks in the existing literature. This brings complications for healthcare professionals and researchers to identify fatigue-related health risks. Therefore, this study gives an overview of the prospective predictive value of the main negative health outcomes for fatigue in community-dwelling older adults.

METHODS

PubMed, Web of Knowledge and PsycINFO were systematically screened for prospective studies regarding the relationship between fatigue and negative health outcomes resulting in 4595 articles (last search 5th March 2020). Meta-analyses were conducted in RevMan using Odds ratios (ORs), Hazard ratios (HRs) and relative risk ratios (RR) that were extracted from the included studies. Subgroup-analyses were performed based on (1) gender (male/female), (2) length of follow-up and (3) fatigue level (low, medium and high).

RESULTS

In total, thirty articles were included for this systematic review and meta-analysis encompassing 152 711 participants (age range 40-98 years), providing information on the relationship between fatigue and health outcomes. The results showed that fatigue is related to an increased risk for the occurrence of all studied health outcomes (range OR 1.299-3.094; HR/RR 1.038-1.471); for example, mortality OR 2.14 [1.74-2.63]; HR/RR 1.44 [1.28-1.62]), the development of disabilities in basic activities of daily living (OR 3.22 [2.05-5.38]), or the occurrence of physical decline (OR 1.42 [1.29-1.57]).

CONCLUSION

Overall fatigue increases the risk for developing negative health outcomes. The analyses presented in this study show that fatigue related physical decline occurs earlier than hospitalization, diseases and mortality, suggesting the importance of early interventions.