Leisure-time physical activity and life expectancy in people with cardiometabolic multimorbidity and depression

Leisure-time physical activity is associated with depressive symptoms in cancer patients: Data from the NHANES 2007-2018

BACKGROUND

Cancer patients have a higher risk of depression and are associated with severe adverse prognosis. The relationship between leisure-time physical activity (LTPA) and depressive symptoms in cancer patients is currently unclear. Therefore, our study mainly explores the potential association between LTPA and the weekly cumulative time of LTPA with depressive symptoms in cancer patients.

METHODS

We included and analyzed 3368 cancer patients (aged >20 years) from the National Health and Nutrition Examination Survey (NHANES) of the United States from 1999 to 2018. The LTPA score was evaluated through a self-report questionnaire, while depressive symptoms were evaluated through the Health Questionnaire-9 (PHQ-9). Multiple logistic regression analysis was used to explore the relationship between LTPA duration and the occurrence of cancer-related depressiive symptoms. Linear correlation was studied using the restricted cubic spline method.

RESULTS

According to a fully adjusted multivariate logistic regression model with confounding variables, the odds ratio (OR) between LTPA and depressive symptoms in cancer patients in this study was 0.59 (95 % confidence interval = 0.39, 0.92; P = 0.02). When the LTPA level was ≥300 min/week, the incidence of depressive symptoms was reduced by 59 % (OR = 0.41, 95 % CI = 0.21, 0.83). In addition, the cubic spline method was used to obtain a linear negative correlation between LTPA duration and tumor depressive symptoms.

CONCLUSION

LTPA was negatively correlated with cancer-related depressive symptoms, and the cumulative time of LTPA/week was linearly correlated with depressive symptoms. The slope of the benefit curve changed significantly when the cumulative time of LTPA reached 600 min per week, suggesting that appropriately increasing LTPA had significant benefits on mental health of cancer patients.

Visceral adiposity associated with incidence and development trajectory of cardiometabolic diseases: A prospective cohort study

BACKGROUND AND AIMS

There is a lack of literature concerning the effects of visceral adipose on the development of first cardiometabolic disease (FCMD) and its subsequent progression to cardiometabolic multimorbidity (CMM) and mortality.

METHODS AND RESULTS

423,934 participants from the UK Biobank with different baseline disease conditions were included in the analysis. CMM was defined as the simultaneous presence of coronary heart disease, T2D, and stroke. Visceral adiposity was estimated by calculating the visceral adiposity index (VAI). Multistate models were used to assess the effect of visceral adiposity on the development of CMM. During a median follow-up of 13.5 years, 50,589 patients had at least one CMD, 6131 were diagnosed with CMM, whereas 24,634 patients died. We observed distinct roles of VAI with respect to different disease transitions of CMM. HRs (95 % CIs) of high VAI were 2.35 (2.29-2.42) and 1.64 (1.50-1.79) for transitions from healthy to FCMD and from FCMD to CMM, and 0.97 (0.93-1.02) for all-cause mortality risk from healthy, FCMD and CMM, respectively.

CONCLUSIONS

Our study provides the first evidence that visceral adipose may contribute to the development of FCMD and CMM in healthy participants. However, visceral adipose may confer resistance to all-cause mortality in participants with existing CMD or CMM. A better understanding of the relationship between visceral adipose and CMM can focalize further investigations on patients with CMD with high levels of visceral fat and help take targeted preventive measures to reduce the medical burden on individual patients and society.

Associations of Various Physical Activities with Mortality and Life Expectancy are Mediated by Telomere Length

OBJECTIVES

Physical activity (PA) and telomeres both contribute to healthy aging and longevity. To investigate the optimal dosage of various PA for longevity and the role of telomere length in PA and mortality.

DESIGN

Prospective cohort study.

SETTING AND PARTICIPANTS

A total of 333,865 adults (mean age of 56 years) from the UK Biobank were analyzed.

METHODS

Walking, moderate PA (MPA), and vigorous PA (VPA) were self-reported via questionnaire, and leukocyte telomere length (LTL) was measured. Cox proportional hazards regression was used to predict all-cause mortality risk. A flexible parametric Royston-Parmar survival model was used to estimate life expectancy.

RESULTS

During a median follow-up of 13.8 years, 19,789 deaths were recorded. Compared with the no-walking group, 90 to 720 minutes/week of walking was similarly associated with 27% to 31% of lower mortality and about 6 years of additional life expectancy. We observed nearly major benefits for mortality and life expectancy among those meeting the PA guidelines [151-300 minutes/wk for MPA: hazard ratio (HR) 0.80, 95% CI 0.75-0.85, 3.40-3.42 additional life years; 76-150 minutes/wk for VPA: HR 0.78, 95% CI 0.75-0.82, 2.61 years (2.33-2.89)] vs the no-PA group. Similar benefits were also observed at 76-150 and 301-375 minutes/wk of MPA (18%-19% lower mortality, 3.20-3.42 gained years) or 151-300 minutes/wk of VPA (20%-26% lower mortality, 2.41-2.61 gained years). The associations between MPA, VPA, and mortality risk were slightly mediated by LTL (≈1% mediation proportion, both P < .001).

CONCLUSIONS AND IMPLICATIONS

Our study suggests a more flexible range of PA than the current PA guidelines, which could gain similar benefits and is easier to achieve: 90 to 720 minutes/wk of walking, 75 to 375 minutes/wk of MPA, and 75 to 300 minutes/wk of VPA. Telomeres might be a potential mechanism by which PA promotes longevity.

Environmental inequalities and multimorbidity: Insights from the Southwest China Multi-Ethnic Cohort Study

Multimorbidity is an increasingly significant public health challenge worldwide. Although the association between environmental factors and the morbidity and mortality of individual chronic diseases is well-established, the relationship between environmental inequalities and multimorbidity, as well as the patterns of multimorbidity across different areas and ethnic groups, remains unclear. We first focus on analyzing the differences in environmental exposures and patterns of multimorbidity across diverse areas and ethnic groups. The results show that individuals of Han ethnicity residing in Chongqing and Sichuan are exposure to higher levels of air pollutants such as PM2.5, PM10, and NO2. Conversely, Tibetans in Tibet and Yi people in Yunnan face elevated concentrations of O3. Furthermore, the Dong, Miao, Buyi ethnicities in Guizhou and Bai in Yunnan have greater access to green spaces. The key multimorbidity patterns observed in Southwest China are related to metabolic abnormalities combined with digestive system diseases. However, significant differences in multimorbidity patterns exist among different regions and ethnic groups. Further utilizing the logistic regression model, the analysis demonstrates that increased exposure to environmental pollutants (PM2.5, PM10, NO2, O3) is significantly associated with higher odds ratios of multimorbidity. Conversely, a greater presence of green spaces (NDVI 250, NDVI 500, NDVI 1000) significantly reduces the risk of multimorbidity. This large-scale epidemiological study provides some evidence of a significant association between environmental inequalities and multimorbidity. By addressing these environmental inequalities and promoting healthy environments for all, we can work towards reducing the prevalence of multimorbidity and improving overall population health.

The role of physical activity on healthcare utilization in China

BACKGROUND

Evidence on the role of physical activity (PA) on healthcare utilization and expenditure is limited in China. We aimed to examine the association between the total physical activity (TPA) per week, healthcare service use and expenditure.

METHODS

We extracted the data from China Health and Retirement Longitudinal Study (CHARLS) 2011, 2013, and 2015. Participants more than 50 years old who completed the follow-up for the three waves were enrolled. We converted the volume of vigorous physical activity (VPA) into an equivalent volume of moderate physical activity (MPA) and calculated the TPA per week for each participant. 12,927 of the 17,708 participants in CHARLS were included in our analysis. More than one-third of participants over 50 years old never participate in any moderate or intensity activity, and the median of self-reported moderate or intensity PA was about 525 (IQR 0-1680) MET-minutes per week in 2015.

RESULTS

Compared to inactive subjects, the highest level of TPA was significantly related to the decreased risk number of inpatient visits (IRR: 0.58; 95% CI:0.50-0.67, p < 0.001), inpatient hospital days (IRR: 0.60; 95% CI: 0.42-0.84, p < 0.01), healthcare expenditure (IRR: 0.71; 95% CI: 0.65-0.79, p < 0.001) and catastrophic health expenditures (OR: 0.57; 95% CI: 0.45-0.72, p < 0.001) after adjusting for covariates.

CONCLUSIONS

Engaging in moderate-to-vigorous PA may drive a potential decrease in healthcare utilization, healthcare expenditure and household financial risk with a dose-response relationship in China, and some possible policy implications in public health may be considered to promote exercise in the middle-aged and elderly to reduce the medical burden on individuals and healthcare systems.

Positive impacts of leisure-time physical activity on cardiorespiratory fitness, co-morbidity level, cardiovascular health and quality of life among midlife adults: a cross-sectional study of a Nigerian population

BACKGROUND

Regular physical activity (PA) improves general health and quality of life (QoL) of the general population. It is however not known if leisure-time PA (LTPA) behaviour will reduce co-morbidity and adiposity, and improve cardiorespiratory fitness and QoL in midlife men. This study explored the impacts of regular LTPA behaviour on co-morbidity, adiposity, cardiorespiratory fitness and QoL among male midlife sports club members in a Nigerian population.

METHODS

This cross-sectional study involved 174 age-matched male midlife adults: 87 engaging in LTPA (LTPA group) and 87 not engaging in LTPA (non-LTPA group). Information on age, body mass index (BMI), waist circumference (WC), maximal oxygen uptake (VO₂max)_, resting heart rate (RHR), QoL and co-morbidity level was collected using standardized procedures. Data were summarized using mean and standard deviation, and explored using frequency and proportion. Independent t-test, Chi Square and Mann-Whitney U test were employed to determine the impacts of LTPA at 0.05 significance level.

RESULTS

The LTPA group had lower co-morbidity score (p = 0.05) and RHR (p = 0.004), and higher QoL (p = 0.01) and VO₂max (p = 0.003) than non-LTPA group. While heart disease (χ² = 10.99; p = 0.01) and hypertension (χ² = 15.24; p = 0.004) severity levels were associated with LTPA behaviour, hypertension (p = 0.01) was the only co-morbid condition that had a significantly lower score in the LTPA group than in the non-LTPA group.

CONCLUSIONS

Regular LTPA improves cardiovascular health, physical work capacity and QoL in the sample of Nigerian mid-life men. Regular LTPA behaviour is recommended for cardiovascular health promotion, and improved physical work capacity and life satisfaction in midlife men.

Physical Activity and Different Recommendations Associated with the Dynamic Trajectory of Cardiometabolic Diseases - UK, 2006-2021

What is already known about this topic?

Previous studies have illustrated the benefits of physical activity on cardiometabolic multimorbidity (CMM), while limited studies have concentrated on the trajectory of CMM progression.

What is added by this report?

Through multi-stage regression analysis, we found that physical activity could reduce the risk of CMM incidence. Participants initially free of cardiometabolic diseases (CMDs) may benefit more from engaging in recommended physical activity.

What are the implications for public health practice?

Adults, especially those initially free of CMDs, should engage in WHO-recommended physical activity as early as possible to prevent CMD incidence and further progression.

Associations of baseline use of fish oil with progression of cardiometabolic multimorbidity and mortality among patients with hypertension: a prospective study of UK Biobank

PURPOSE

The role of fish oil in the prognosis of hypertensive patients is unknown. This study investigated the associations of fish oil supplementation with the progression of cardiometabolic multimorbidity (CMM) and mortality among patients with hypertension.

METHODS

Based on UK Biobank, we enrolled participants with hypertension and free of other cardiometabolic diseases. The exposure was baseline use of fish oil derived from questionnaires at baseline. The primary outcomes were the incidence of CMM and all-cause mortality. Competing risk models and flexible parametric proportion-hazards models were fitted to assess the adjusted hazard ratios (HRs) for the risk of CMM and mortality outcomes, respectively.

RESULTS

Among 81,579 participants involved [50.37%, men; mean age, 59.38 years (standard deviation, 7.23 years)], 15,990 CMM events and 6456 all-cause deaths were reported (median follow-up, 12.23 years). In multivariable-adjusted models, baseline use of fish oil was associated with 8% lower risk of CMM [95% confidence interval (95% CI) 0.89-0.96, P < 0.001] and 10% lower risk of all-cause mortality (95% CI 0.85-0.95, P < 0.001).

CONCLUSION

In individuals with hypertension, baseline use of fish oil was associated with a reduced risk of CMM and all-cause mortality, and further clinical trials are needed to prove this hypothesis.

Relationship between leisure-time physical activity and depressive symptoms under different levels of dietary inflammatory index

Depressive symptoms are major public health problems. Leisure-time Physical activity (LPA) and dietary inflammatory preference are emerging factors that tends to affect the mental health status. There is limited evidence regarding the joint influence of LPA and dietary status on the prevalence of depression. This study was a cross-sectional study, which used a nationwide represented sample from the National Health and Nutrition Examination Survey (NHANES) to assess the relationship among LPA, diet status and depression. Depression and LPA status was reported by the 9-item Patient Health Questionnaire (PHQ-9) and Physical Activity Questionnaire (PAQ), respectively. To assess dietary inflammatory preferences, dietary inflammatory index (DII) was applied based on a 24-h dietary recall interview. A total of 11,078 subjects was included in this study and weighted participants were 89,682,020. Weighted multivariable linear regression showed that DII was negatively associated with LPA after full adjustment, with β (95% CI): −0.487 (−0.647, −0.327). Weighted multivariable logistic regression showed that LPA was significantly associated with depressive symptoms after full adjustment, with odds ratios OR (95% CIs): 0.986 (0.977, 0.995). By DII stratification analysis, this phenomenon was also existed in groups with anti-inflammatory diet. Mediation effect analysis was further performed, which showed that DII significantly mediating the association between LPA and depression with proportion mediated as 3.94%. Our findings indicated the mediating role of DII in the association between LPA condition and incident depression. More well-designed studies are still needed to validate the causal relationship.

Association of mood disorder with cardiometabolic multimorbidity trajectory and life expectancy, a prospective cohort study

BACKGROUND

Cardiometabolic diseases (CMDs) including hypertension, coronary heart disease, diabetes and stroke, are always combined with each other, leading to cardiometabolic multimorbidity (CMM). Mood disorder was associated with onset of CMD. However, the impact of mood disorder on the transition from single CMD to CMM was poorly understood.

METHODS

A total of 95,351 participants with single CMD, with median age of 59 (range 40 to 71) years from UK Biobank were enrolled at baseline. Competing risk regression models were used to estimated hazard ratios (HRs) and 95 % confidence intervals (CIs) of association between mood disorder categories and progress from single CMD to CMM. Association of mood disorder with mortality, and life expectancy differences were also calculated by flexible parametric proportion-hazard models.

RESULTS

Relative associations were observed between mood disorder and the progress from first onset of CMD to CMM. Adjusted HRs for progress to CMM from those with comorbid CMD plus depression or bipolar were increased (depression: 1.23 [1.19 1.27]; bipolar: 1.47 [1.31 1.66]), compared with those with the sole CMD. Mood disorder also had impact on all-cause mortality (depression: 1.17 [1.10 1.24]; bipolar: 2.03 [1.74 2.32]) and reduced life expectancy estimates for those with single CMD.

LIMITATIONS

This cohort primarily comprises White individuals. Covariates only measured at baseline and assumed unchanged during follow-up.

CONCLUSIONS

Mood disorder conferred greater hazard on the CMM and mortality outcome. This study highlighted the importance of depression and bipolar in disease progression, from single CMD, to multimorbidity or mortality.

The impact of the first announced state of emergency owing to coronavirus disease-2019 on stress and blood pressure levels among patients with type 2 diabetes mellitus in Japan

Aims/Introduction

After the first coronavirus disease 2019 state of emergency announcement, there was an increase in stress that might have affected the self‐management of patients with type 2 diabetes mellitus. This study identified the changes in clinical findings and stress among patients with type 2 diabetes mellitus, and investigated the characteristics of patients who experienced an increase in blood pressure (BP) after the announcement.

Materials and Methods

Retrospectively, we scrutinized 310 patients with type 2 diabetes mellitus who were treated by the Sagamihara Physicians Association. After the announcement, 164 and 146 patients showed an increase (ΔBP >0 group) and decrease in BP (ΔBP ≤0 group), respectively. The propensity score matching method was used to compare the differences in clinical findings and stress‐related questionnaire responses between the two groups.

Results

After the announcement, 47% of patients experienced an increase in daily stress. Furthermore, 17% and 36% reported worsening dietary intake and a decrease in exercise, respectively. More patients reported that their dietary and salt intake had worsened in the ΔBP >0 group than in the ΔBP ≤0 group (9% vs 20%, P = 0.02, and 3% vs 10%, P = 0.04, respectively). Additionally, both systolic and diastolic BP measured in the office were significantly increased (P = 0.02 and P = 0.03, respectively); however, systolic BP measured at home significantly decreased (P = 0.01). The total stress scores were higher in the ΔBP >0 group than in the ΔBP ≤0 group (0.05 ± 2.61 and 0.93 ± 2.70, respectively, P = 0.03).

Conclusions

An increase in stress and, particularly, worsening dietary and salt intake were noted among patients with type 2 diabetes mellitus who experienced an increase in BP after the state of emergency announcement.

Trends in the Prevalence of Cardiometabolic Multimorbidity in the United States, 1999-2018

Cardiometabolic multimorbidity (co-existence of ≥1 cardiometabolic diseases) is increasingly common, while its prevalence in the U.S. is unknown. We utilized data from 10 National Health and Nutrition Examination Survey (NHANES) two-year cycles in U.S. adults from 1999 to 2018. We reported the age-standardized prevalence of cardiometabolic multimorbidity in 2017-2018 and analyzed their trends during 1999-2018 with joinpoint regression models. Stratified analyses were performed according to gender, age, and race/ethnicity. In 2017-2018, the prevalence of cardiometabolic multimorbidity was 14.4% in the U.S., and it was higher among male, older, and non-Hispanic Black people. The three most common patterns were hypertension and diabetes (7.5%); hypertension, diabetes, and CHD (2.2%); and hypertension and CHD (1.8%). During 1999-2018, the prevalence of cardiometabolic multimorbidity in U.S. adults increased significantly, with an averaged two-year cycle percentage change (AAPC) of 3.6 (95% CI: 2.1 to 5.3). The increasing trend was significant for both genders, most age groups except for 60-79 years, and non-Hispanic White people. For common patterns, the trend was increasing for hypertension and diabetes and hypertension, diabetes, and CHD, while it was decreasing for hypertension and CHD. Our findings provide evidence that cardiometabolic multimorbidity has risen as an austere issue of public health in the U.S.

Cardiovascular health and healthy longevity in people with and without cardiometabolic disease: A prospective cohort study

BACKGROUND

Existing evidence suggest an association of cardiovascular health (CVH) level with cardiometabolic disease (CMD) and mortality, but the effect of CVH on life expectancy, particularly survival years in CMD patients, has not been well-established. This study aimed to investigate the association of CVH defined using the 7-item tool from the American Heart Association (AHA) with life expectancy in people with and without CMD.

METHODS

Between 2006 and 2010, a total of 341,331 participants (age 37-73 years) in the UK Biobank were examined and thereafter followed up to 2020. The CVH raised by the AHA included 4 behavioral (smoking, diet, physical activity, body mass index) and 3 biological (fasting glucose, blood cholesterol, blood pressure) metrics, coded on a three-point scale (0, 1, 2). The CVH score was the sum of 7 metrics (score range 0-14) and was then categorized into poor (scores 0-6), intermediate (7-11), and ideal (12-14) CVH. The flexible parametric survival models were applied to estimate life expectancy.

FINDINGS

During a median follow-up of 11.4 years, 18,420 (5.4%) deaths occurred. The multivariable-adjusted hazard ratio (HRs) of all-cause mortality were 2.21 (95% CI: 1.77 to 2.75) for male and 2.63 (95% CI: 2.22 to 3.12) for female with prevalent CMD and a poor CVH compared with CMD-free and ideal CVH group, an ideal CVH attenuated the CMD-related risk of mortality by approximately 62% for male and 53% for female. In CMD patients, an ideal CVH compared to poor CVH was associated with additional life years gain of 5.50 (95% CI: 3.94-7.05) for male 4.20 (95% CI: 2.77-5.62) for female at the age of 45 years. Corresponding estimates in those without CMD were 4.55 (95% CI: 3.62-5.48) and 4.89 (95% CI: 3.99-5.79), respectively. Ideal smoking status, fasting glucose and physical activity for male and ideal smoking status, cholesterol level and physical activity for female contributed to the greatest survival benefit.

INTERPRETATION

An ideal CVH is associated with a lower risk of premature mortality and longer life expectancy whether in general population or CMD patients. Our study highlights the benefits of maintaining better CVH across the life course and calls attention to the need for comprehensive strategies (healthy behavioral lifestyle and biological phenotypes) to preserve and restore a higher CVH level.

FUNDING

Scientific Research Foundation for Scholars of HZNU (Grant No. 4265C50221204119).

Association of Healthy Lifestyle and Life Expectancy in Patients With Cardiometabolic Multimorbidity: A Prospective Cohort Study of UK Biobank

Background

The prevalence of cardiometabolic multimorbidity (CMM), which significantly increases the risk of mortality, is increasing globally. However, the role of healthy lifestyle in the secondary prevention of CMM is unclear.

Methods

In total, 290,795 participants with CMM, which was defined as coexistence of at least two of hypertension (HTN), diabetes mellitus (DM), coronary heart disease (CHD), and stroke (ST), and those without these four diseases at baseline were derived from UK Biobank. The associations between specific CMM patterns and mortality, and that between healthy lifestyle (including physical activity, smoking, alcohol consumption, and vegetable and fruit consumption) and mortality in patients with specific CMM patterns were calculated using the flexible parametric Royston-Parmar proportion-hazard model. Hazard ratios (HRs) and corresponding 95% confidence intervals (CIs) were calculated.

Results

During a median 12.3-year follow up period, 15,537 (5.3%) deaths occurred. Compared with participants without cardiometabolic diseases, the HRs for all-cause mortality were 1.54 [95% confidence interval (CI): 1.30, 1.82] in participants with HTN + DM, 1.84 (95% CI: 1.59, 2.12) in those with HTN + CHD, 1.89 (95% CI: 1.46, 2.45) in those with HTN + ST, and 2.89 (95% CI: 2.28, 3.67) in those with HTN + DM + CHD. At the age of 45 years, non-current smoking was associated with an increase in life expectancy by 3.72, 6.95, 6.75, and 4.86 years for participants with HTN + DM, HTN + CHD, HTN + ST, and HTN + DM + CHD, respectively. A corresponding increase by 2.03, 1.95, 2.99, and 1.88 years, respectively, was observed in participants with regular physical activity. Non-/moderate alcohol consumption and adequate fruit/vegetable consumption were not significantly associated with life expectancy in patients with specific CMM patterns.

Conclusion

Cardiometabolic multimorbidity was associated with an increased risk of mortality. Regular physical activity and non-current smoking can increase life expectancy in patients with specific CMM patterns.

Taking care of the ordinary in extraordinary times-delayed routine care means more morbidity and pre-mature mortality

Individuals with chronic diseases are more susceptible to its grave complications and negative outcomes if infected by COVID-19. Furthermore, mandatory isolation and cancellations of routine healthcare services led to the disruption of the screening and management plans for chronic diseases. Fear of attending health services as well as disruptions to public transport are other factors increasing health risks among persons with chronic conditions during the pandemic. Ensuring access to universal healthcare services, increasing use of digital services, targeted interventions to risk groups are examples of measures that need to be taken when reviewing health systems preparedness for future pandemics and other disasters.

Effects of Somatic, Depression Symptoms, and Sedentary Time on Sleep Quality in Middle-Aged Women with Risk Factors for Cardiovascular Disease

Cardiovascular disease (CVD) is the second leading cause of death among Korean women, and its incidence is dramatically elevated in middle-aged women. This study aimed to identify the predictors of sleep quality, a CVD risk factor, in middle-aged women with CVD risk factors to provide foundational data for developing intervention strategies for the prevention of CVD. The subjects, 203 middle-aged women (40–65 years old) with one or more CVD risk factors were selected through convenience sampling and included in this descriptive correlational study. The effects of somatic symptoms, depression symptoms, and sedentary time on sleep quality were examined. CVD-related characteristics were analyzed using descriptive statistics, whereas the mean values of the independent variables were analyzed using t-tests and analysis of variance. Predictors of sleep quality were analyzed using multiple regression analysis. The results showed that sleep quality increased with decreasing somatic symptoms (β = −0.36, p < 0.001), depression symptom score (β = −0.17, p = 0.023), and daily sedentary time (β = −0.13, p = 0.041), and the regression model was significant (F = 19.80, p < 0.001). Somatic symptoms are the most potent predictors of sleep quality in middle-aged women. Thus, intervention strategies that improve somatic symptoms are crucial for the enhancement of sleep quality, which deteriorates with advancing age.

Light-Intensity Physical Activity and Life Expectancy: National Health and Nutrition Survey

INTRODUCTION

Quantifying the years of life gained associated with light-intensity physical activity may be important for risk communication in public health. Because no studies have examined the role of light-intensity physical activity in life expectancy, this study aims to quantify the years of life gained from light-intensity physical activity in a population-based U.S.

METHODS

This study used data from 6,636 participants in the National Health and Nutrition Examination Survey (2003-2006). Analyses were conducted in 2020. Light-intensity physical activity was categorized into low, medium, and high on the basis of tertiles, and survival models were applied to estimate the years of life gained from each light-intensity physical activity group. Analyses were repeated in participants with moderate-to-vigorous physical activity above or below the median.

RESULTS

During a mean follow-up of 11 years and at 55,520 person-years, 994 deaths were recorded. At age 20 years, participants with low, medium, and high light-intensity physical activity had a predicted life expectancy of 53.92 (95% CI=46.66, 61.18), 58.16 (95% CI=52.10, 65.22), and 58.44 (95% CI=51.29, 65.60) years, suggesting significant years of life gained from medium and high levels of light-intensity physical activity of 2.89 (95% CI=0.90, 4.12) and 3.07 (95% CI=0.84, 5.30) years. The corresponding years of life gained at age 45 years and 65 years were 2.51 (95% CI=0.40, 5.47) and 1.52 (95% CI=0.54, 2.50) years for the medium light-intensity physical activity group and 2.66 (95% CI=0.80, 4.52) and 1.62 (95% CI=0.49, 52.75) years for the high light-intensity physical activity group. This association was significant in participants with moderate-to-vigorous physical activity below the median but not for those with moderate-to-vigorous physical activity above the median.

CONCLUSIONS

Light-intensity physical activity may extend life expectancy. Given the low prevalence of moderate-to-vigorous physical activity in populations, physical activity promotion efforts may capitalize on emerging evidence on light-intensity physical activity, particularly among the most inactive groups.

Diabetes Mellitus Is a Chronic Disease that Can Benefit from Therapy with Induced Pluripotent Stem Cells

Diabetes mellitus (DM) is one of the main causes of morbidity and mortality, with an increasing incidence worldwide. The impact of DM on public health in developing countries has triggered alarm due to the exaggerated costs of the treatment and monitoring of patients with this disease. Considerable efforts have been made to try to prevent the onset and reduce the complications of DM. However, because insulin-producing pancreatic β-cells progressively deteriorate, many people must receive insulin through subcutaneous injection. Additionally, current therapies do not have consistent results regarding the prevention of chronic complications. Leveraging the approval of real-time continuous glucose monitors and sophisticated algorithms that partially automate insulin infusion pumps has improved glycemic control, decreasing the burden of diabetes management. However, these advances are facing physiologic barriers. New findings in molecular and cellular biology have produced an extraordinary advancement in tissue development for the treatment of DM. Obtaining pancreatic β-cells from somatic cells is a great resource that currently exists for patients with DM. Although this therapeutic option has great prospects for patients, some challenges remain for this therapeutic plan to be used clinically. The purpose of this review is to describe the new techniques in cell biology and regenerative medicine as possible treatments for DM. In particular, this review highlights the origin of induced pluripotent cells (iPSCs) and how they have begun to emerge as a regenerative treatment that may mitigate the pathology of this disease.

Diabetes and COVID-19: Risks, Management, and Learnings From Other National Disasters

Evidence relating to the impact of COVID-19 in people with diabetes (PWD) is limited but continuing to emerge. PWD appear to be at increased risk of more severe COVID-19 infection, though evidence quantifying the risk is highly uncertain. The extent to which clinical and demographic factors moderate this relationship is unclear, though signals are emerging that link higher BMI and higher HbA_1c to worse outcomes in PWD with COVID-19. As well as posing direct immediate risks to PWD, COVID-19 also risks contributing to worse diabetes outcomes due to disruptions caused by the pandemic, including stress and changes to routine care, diet, and physical activity. Countries have used various strategies to support PWD during this pandemic. There is a high potential for COVID-19 to exacerbate existing health disparities, and research and practice guidelines need to take this into account. Evidence on the management of long-term conditions during national emergencies suggests various ways to mitigate the risks presented by these events.