Healthy lifestyle behaviours and all-cause and cardiovascular mortality among 0.9 million Chinese adults

Associations between plant-based diets and cardiovascular disease, frailty, and cognitive dysfunction in middle and old age: a systematic review and meta-analysis of cohort studies

Background: Evidence suggests that plant-based diets are associated with multiple health outcomes. However, in previous pooled studies, the lack of a standardized definition of plant-based diet has led to conflicting evidence regarding its relationship with health outcomes in middle-aged and elderly people. Methods and findings: Searches were conducted on PubMed, Embase, Cochrane Library and Web of Science databases from inception until July 10, 2024. We included studies that examined the association between (1) the standardized healthy plant-based diet index (hPDI) and unhealthy plant-based diet index (uPDI) and (2) cardiovascular disease (CVD), cardiovascular mortality (CVD mortality), frailty, and cognitive dysfunction. Dose-response analysis was performed to assess the relationships between (1) hPDI and uPDI and (2) CVD and frailty. Statistical analyses were performed using an inverse variance random-effects model, and results are reported as risk ratio (RR) with 95% confidence interval (CI) by combining the most adjusted RR, odds ratio (OR) and hazard ratio (HR) under the rare outcome assumption. A total of 25 cohort studies were included. Higher hPDI scores were associated with lower risks of CVD (RR = 0.81, 95% CI 0.71-0.93), CVD mortality (RR = 0.83, 95% CI 0.75-0.90), coronary heart disease (CHD) (RR = 0.79, 95% CI 0.70-0.88), stroke (RR = 0.91, 95% CI 0.86-0.96), ischemic stroke (RR = 0.86, 95% CI 0.79-0.94), cognitive dysfunction (RR = 0.75, 95% CI 0.66-0.84) and frailty (RR = 0.72, 95% CI 0.60-0.86). By contrast, higher uPDI scores were associated with increased risks of CVD (RR = 1.16, 95% CI 1.09-1.24), CVD mortality (RR = 1.14, 95% CI 1.05-1.23), frailty (RR = 1.52, 95% CI 1.10-2.08) and cognitive dysfunction (RR = 1.24, 95% CI 1.11-1.38). Dose-response analyses showed that increasing adherence to hPDI was associated with reduced risks of CVD and frailty, whereas increasing intake of hPDI was linked to increased risk of CVD and frailty. Conclusions: Our study suggests that adherence to hPDI is associated with favourable health outcomes in middle-aged and elderly people, except for hemorrhagic stroke. These findings highlight the potential benefits of hPDI for promoting healthy ageing.

Exploring healthy lifestyle with health locus of control and sociodemographic variables in Türkiye

In this study, we aimed to explore the effects of Internal/Chance/Powerful Others Health Locus of Control (IHLC/CHLC/PHLC) on the healthy lifestyle and to assess the sensitivity of the healthy lifestyle to sociodemographic variables. To achieve this goal, we collected data by performing online and hand-delivered surveys (n = 950) with individuals aged 18 or older in Türkiye. The results showed that IHLC and PHLC had positive and significant effects on Healthy Lifestyle Index (HLI). However, the results expressed that CHLC had no negative and significant effect on HLI. Our assessment of a healthy lifestyle in terms of health locus of control (HLC) and sociodemographic variables revealed important findings, which may contribute to the development of public health strategies in several ways; for example, they can be used as a framework to conduct public health interventions that promote a healthy lifestyle.

Bridging Lifestyle and Screening for Cancer Prevention: A Comprehensive Analysis of Cancer-Related Lifestyle and Screening Attitudes in Adults

Background and Objectives: Healthy lifestyle behaviors and cancer screening are crucial for cancer prevention; however, their relationship remains inadequately explored. This study examines cancer-related lifestyle behaviors, attitudes toward cancer screening, and their interrelationship in adults. Materials and Methods: A descriptive cross-sectional study was conducted among 1129 adults (aged 18-70) visiting family health centers in Kayseri, Türkiye. Data was collected via face-to-face surveys assessing sociodemographic characteristics, lifestyle behaviors (Lifestyle Questionnaire Related to Cancer), and screening attitudes (Attitude Scale Toward Cancer Screenings). Statistical analyses included Mann-Whitney U, Kruskal-Wallis, and Spearman correlation tests. Results: Women, married participants, urban residents, and those with higher education and income exhibited healthier lifestyle behaviors and more positive attitudes toward cancer screening (p < 0.05). A weak but significant correlation (r = 0.247, p < 0.05) was found between healthy lifestyle behaviors and positive screening attitudes. Despite national screening programs, adherence to breast and cervical cancer screenings remained low (51.5% and 44.6%, respectively). Having a first-degree relative with cancer did not significantly influence screening behaviors. Conclusions: Gender, education, income, and marital status significantly influence cancer prevention behaviors. However, screening participation remains suboptimal, highlighting the need for targeted public health strategies. Improving health literacy and accessibility to screening programs could enhance cancer prevention efforts.

Evaluating the differences in healthy lifestyle behaviors between Chinese urban and rural residency after the termination of social distancing: analysis based on propensity score matching

BACKGROUND

During the COVID-19 pandemic, the social distancing has significantly affected the healthy lifestyle behaviors of residents. China ended social distancing on January 8, 2023, and the healthy lifestyle behaviors of residents after this time are unclear. The goal of this study was to evaluate the differences in healthy lifestyle behaviors between Chinese urban and rural residency after the termination of social distancing.

METHODS

From February 1, 2023, to February 8, 2023, a cross-sectional survey which include participants (≥ 18 years old) was carried out in four regions of mainland China (Changzhou in the eastern region, Zhengzhou in the central region, Xining in the western region, and Mudanjiang in the northeastern region). A healthy lifestyle behaviors scale containing 11 items was designed to calculate the healthy lifestyle behaviors scores among urban and rural residents. The healthy lifestyle behaviors scores ranged from 11 to 51. Multivariate linear regression was used to analyze the influencing factors of healthy lifestyle behaviors scores among urban and rural residents. Propensity Score Matching was used to assess the net differences in healthy lifestyle behaviors scores between urban and rural residents.

RESULTS

A total of 5780 residents (53.04% females) were included in the study, including 3302(57.13%) urban residents. The average healthy lifestyle behavior score was 38.33(95%CI: 38.18 to 38.49). Healthy lifestyle behaviors score among males was lower than that among females in both urban (β = -1.98, 95%CI: -3.05 to -2.10) and rural residents (β = -2.57, 95%CI: -2.37 to -1.60). Higher education was associated with higher healthy lifestyle behaviors scores in both urban and rural residents. PSM analysis indicated that urban residents still had higher healthy lifestyle behaviors scores (38.72, 95% CI: 38.46 to 38.99) than rural residents (37.85, 95%CI: 37.57 to 38.13), with a net difference of 0.87 points.

CONCLUSIONS

After the termination of social distancing, the overall healthy lifestyle behaviors of Chinese residents were found to be at a medium level. Urban residents have a better healthy lifestyle behavior compared to their rural counterparts. It is essential to prioritize efforts towards enhancing the healthy lifestyle behaviors of rural residents.

Associations of healthy lifestyle and family income to poverty ratio with all-cause mortality among people with prediabetes and diabetes: a prospective cohort study

BACKGROUND

Family income to poverty ratio (PIR) may have independent effects on diet and lifestyle factors and the development of prediabetes and diabetes, as well as on mortality. It is unclear how the protective effect of a healthy lifestyle against death differs between individuals with different glucose metabolic profiles and whether PIR mediates this effect. This study aimed to explore whether healthy lifestyle and family PIR reduced the risk of all-cause mortality in participants with different metabolic status and the mediating role of PIR.

SUBJECTS AND METHODS

In total, 21,411 participants from the 2001-2018 National Health and Nutrition Examination Survey (NHANES) and follow-up until 2019 were included. The weighted healthy lifestyle score was constructed based on smoking, alcohol consumption, physical activity, diet (HEI-2015), and body mass index. Generalized linear regression models were used to analyze the association between healthy lifestyle, PIR, and all-cause mortality. Cox proportional hazard models were used to calculate hazard ratios (HRs) and 95% confidence intervals, Kaplan-Meier survival curve was used to analyze the all-cause mortality associated with PIR and lifestyle. Furthermore, the mediation proportion of PIR in all-cause mortality attributed to healthy lifestyle was analyzed among participants with normal glucose regulation, prediabetes, or diabetes after multivariable adjustment.

RESULTS

There were significant differences in healthy lifestyle and PIR among people with normal glucose regulation, prediabetes and diabetes. During a mean follow-up of 92 months, participants with prediabetes or diabetes were also likely to have a higher mortality rate, respectively 583 (8.3%) and 263 (12.7%). More than 2 healthy lifestyles were associated with 42% (HR, 0.58; 95% CI, 0.35-0.95) to 76% (HR, 0.24; 95% CI, 0.12-0.44) reduced risk of all-cause mortality among participants with prediabetes, but among those with diabetes, who had ≥ 4 healthy lifestyles were associated with 72% reduced risk of all-cause mortality (HR, 0.28; 95% CI, 0.09-0.90). The middle and high PIR were associated with at least a 37% (HR, 0.63; 95% CI, 0.47-0.83) to 65% (HR, 0.35; 95% CI, 0.18-0.68) lower risk of all-cause mortality in participants with prediabetes and diabetes. Furthermore, PIR mediated 5.81-14.93% and 7.72-10.10% of the association between healthy lifestyle and all-cause mortality among normal glucose regulation and prediabetic participants, respectively. However, the mediating effect of PIR was not significant among diabetic participants.

CONCLUSIONS

Our findings highlight the importance of promoting adherence to a healthy lifestyle and improving PIR in prediabetic patients to reduce the risk of all-cause mortality, and the protective effect is more significant with more healthy lifestyles and higher PIR. This study can help clinicians and health systems develop more targeted treatments for people with different metabolic levels.

Childhood psychosocial adjustment and midlife obesity, diabetes and hypertension: prospective study from two birth cohorts

BACKGROUND

Understanding how childhood psychosocial adjustment (CPA) influences later life health outcomes is crucial for developing interventions to mitigate the long-term risk of cardiometabolic diseases (CMDs).

AIMS

To investigate the association between CPA and incident CMDs in mid-life, and the mediating roles of educational attainment, smoking habits and depression during young adulthood.

METHOD

A prospective cohort study utilised data from the 1958 National Child Development Study (NCDS; 1958-2013) and the 1970 British Cohort Study (BCS70; 1970-2018), encompassing 22 012 participants assessed for CPA in childhood, who were subsequently evaluated for educational attainment, smoking habits and depression in young adulthood, followed by assessments for CMDs in mid-life. CPA was assessed using the Bristol Social Adjustment Guides in the NCDS and the Rutter Child Behaviour Scale in the BCS70, with higher scores indicating poorer psychosocial adjustment. The primary outcomes were the mid-life incidences of hypertension, diabetes and obesity.

RESULTS

Compared with children in the lowest tertile for CPA scores, those in the middle tertile had an adjusted odds ratio for hypertension of 0.98 (95% CI 0.90-1.06), whereas those in the highest tertile had an odds ratio of 1.17 (95% CI 1.08-1.26). For diabetes, the corresponding odds ratios (95% CI) were 1.15 (0.98-1.35) and 1.39 (1.19-1.62). For obesity, the corresponding odds ratios (95% CI) were 1.08 (1.00-1.16) and 1.18 (1.09-1.27). These associations were partially mediated by educational attainment (2.4-13.9%) and depression during young adulthood (2.5-14.9%).

CONCLUSIONS

Poorer CPA is correlated with the development of hypertension, diabetes and obesity in mid-life. Interventions aimed at improving CPA may help in reducing the burden of these diseases in later life.

Impact of modifiable healthy lifestyles on mortality in Chinese older adults

In China, unhealthy lifestyles, including smoking, alcohol consumption, a lack of exercise, and irrational diets, are relatively common among the elderly population. The objective of this study was to examine the specific associations between poor health-related behaviours and all-cause and cause-specific mortality in older adults. This study involved 5,015 subjects ≥ 60 years of age from the CHARLS database over a 10-year follow-up period. The average age was (67.96 ± 6.39) years. We examined whether lifestyle groups, based on adherence to non-smoking, no-alcohol, moderate exercise, and 18.5 kg/m2 ≤ BMI< 24 kg/m2, were linked with subsequent mortality. Cox proportional hazard models were used to estimate the hazard ratio (HR) and 95% confidence intervals for all-cause and cause-specific mortality of maintaining a healthy lifestyle. In multivariate adjustment model, the risk of all-cause mortality was reduced by 59.2% [HR 0.408 (95% CI 0.333, 0.499)] in the moderate group compared with the unfavorable group. In addition, the risk of all-cause mortality was reduced to 80.5% [HR 0.195 (95% CI 0.150, 0.253)] in the favorable group. The risks of cardiovascular and cerebrovascular diseases, chronic respiratory disease, cancers, and diabetes increased with similar dose-response patterns. The combination of all four healthy lifestyles provided the greatest protection, reducing mortality by 84.5%. In the elderly population, adherence to a healthy lifestyle is associated with a significant reduction in the risk of all-cause and cause-specific mortality.

Association of low socioeconomic status with cognitive decline among older persons in underdeveloped areas in China - a data analysis of the Gansu aging study

BACKGROUND

Individuals with low socioeconomic status (SES) bear a disproportionate share of the cognitive impairment (CI) burden, there are growing evidence focusing on socioeconomic inequalities in CI among older persons. However, data in the underdeveloped regions is limited. This study aims to measure socioeconomic inequalities in CI among individuals aged 65 years or older in Gansu, China, and determine the contributions of socioeconomic factors to the inequalities.

METHODS

Data from the Gansu Aging Study in 2022 including 3241 participants. Participates' SES was assessed by using education, income, and occupation. Multivariate logistic regression was conducted to identify the associated between SES and CI, and decomposition analysis was further applied to decompose the contribution of each determinant to the observed inequalities in CI. The SES inequalities in CI were illustrated and quantified by the concentration curve index.

RESULTS

Overall, 24.2% of participants suffered from CI in the study. The likelihood of CI was lower among those with a medium SES (OR = 0.04, 95% CI:0.03, 0.07), good SES (OR = 0.06, 95% CI: 0.04, 0.09) compared to those with lower levels of SES. Older adults with mild depression (OR = 3.66, 95% CI:2.70,4.95), moderate-severe (OR = 2.82, 95% CI:2.05,3.88) were more likely to have CI in comparison to those with no depression and regular social activities were protective factors for CI (OR = 0.28, 95% CI:0.11,0.75). The concentration index indicated that CI was more concentrated in households with poor SES. Subsequently, SES explained 34.65% of socioeconomic inequality in CI.

CONCLUSION

This study suggested that, approximately one-quarter of older persons suffered from CI in Gansu, China. Low SES was substantially associated with risk of CI. Although interventions to modify traditional risk factors may decrease the risk of CI, disparities by SES may remain without addressing SES itself.

The impact of perception bias for cardiovascular disease risk on physical activity and dietary habits

Objective

Cardiovascular disease (CVD) remains a significant public health challenge in China. Accurate perception of individual CVD risk is crucial for timely intervention and preventive strategies. This study aimed to determine the alignment between CVD risk perception levels and objectively calculated CVD risk levels, then investigate the disparity in physical activity and healthy diet habits among distinct CVD risk perception categories.

Methods

From March to August 2022, a cross-sectional survey was conducted in Zhejiang Province using convenience sampling. Participants aged between 20 and 80 years, without prior diagnosis of CVD were included. CVD risk perception was evaluated with the Chinese version of the Attitude and Beliefs about Cardiovascular Disease Risk Perception Questionnaire, while objective CVD risk was assessed through the Prediction for Atherosclerotic Cardiovascular Disease Risk (China-PAR) model. Participants' demographic information, self-reported physical activity, and healthy diet score were also collected.

Results

A total of 739 participants were included in the final analysis. Less than a third of participants (29.2%) accurately perceived their CVD risk, while 64.5% over-perceived it and 6.2% under-perceived it. Notably, half of the individuals (50.0%) with high CVD risk under-perceived their actual risk. Compared to the accurate perception group, individuals aged 60-80 years old (OR = 6.569), currently drinking (OR = 3.059), and with hypertension (OR = 2.352) were more likely to under-perceive their CVD risk. Meanwhile, participants aged 40-<60 years old (OR = 2.462) and employed (OR = 2.352) were more likely to over-perceive their risk. The proportion of individuals engaging in physical activity was lowest in the under-perception group, although the difference among the three groups was not statistically significant (χ 2 = 2.556, P = 0.278). In addition, the proportion of individuals practicing healthy diet habits was also lowest in the under-perception group, and a significant statistical difference was observed among the three groups (χ 2 = 10.310, P = 0.006).

Conclusion

Only a small proportion of participants accurately perceived their CVD risk, especially among those with high actual CVD risk. Individuals in the under-perceived CVD risk group exhibited the lowest rates of physical activity engagement and healthy diet adherence. Healthcare professionals should prioritize implementing personalized CVD risk communication strategies tailored to specific subgroups to enhance the accuracy of risk perception.

Association between healthy lifestyle on life course and multimorbidity in adults: results from two national prospective cohort studies

OBJECTIVES

To examine the correlation between healthy lifestyle patterns, their change trajectories, and the risk of multimorbidity in adults.

METHODS

Based on two representative national cohorts, the English Longitudinal Study of Aging (ELSA) and the Health and Retirement Study (HRS) including adults aged 50 years and over. We employed Cox regression, lifestyle change trajectories, and restricted mean survival times to explore the relationship between lifestyle (assessed by SCORE2, LE'8, and HLS scores) and multimorbidity. We also conducted mediation analysis to investigate the underlying mechanisms.

RESULTS

A healthy lifestyle (higher LE'8, higher HLS, or lower SCORE2) can reduce the risk of multimorbidity. 2-10% lower multimorbidity risk per one-point increase in LE'8 and HLS. The hazard ratio of multimorbidity for improvements in unhealthy lifestyles or deterioration in healthy lifestyles compared to always healthy lifestyles ranged from 1.598 to 5.602. Besides, for LE'8 and HLS, participants with higher scores had a slower decrease in survival probability in ELSA. Triglyceride, C-reaction protein, fibrinogen, and cystatin C partly mediate the association between lifestyle and multimorbidity.

CONCLUSIONS

Keeping a healthy lifestyle over time can help reduce the risk of multimorbidity.

Temperature, relative humidity and elderly type 2 diabetes mortality: A spatiotemporal analysis in Shandong, China

BACKGROUND

The mortality of type 2 diabetes mellitus (T2DM) can be affected by environmental factors. However, few studies have explored the effects of environmental factors across diverse regions over time. Given the vulnerability observed in the elderly group in previous research, this research applied Bayesian spatiotemporal models to assess the associations in the elderly group.

METHODS

Data on T2DM death in the elderly group (aged over 60 years old) at the county level were collected from the National Death Surveillance System between 1st January 2013 and 31st December 2019 in Shandong Province, China. A Bayesian spatiotemporal model was employed with the integrated Nested Laplace Approach to explore the associations between socio-environmental factors (i.e., temperatures, relative humidity, the Normalized Difference Vegetation Index (NDVI), particulate matter with a diameter of 2.5 μm or less (PM2.5) and gross domestic product (GDP)) and T2DM mortality.

RESULTS

T2DM mortality in the elderly group was found to be associated with temperature and relative humidity (i.e., temperature: Relative Risk (RR) = 1.41, 95% Credible Interval (CI): 1.27-1.56; relative humidity: RR = 1.05, 95% CI:1.03-1.06), while no significant associations were found with NDVI, PM2.5 and GDP. In winter, significant impacts from temperature (RR = 1.18, 95% CI: 1.06-1.32) and relative humidity (RR = 0.94, 95% CI: 0.89-0.99) were found. Structured and unstructured spatial effects, temporal trends and space-time interactions were considered in the model.

CONCLUSIONS

Higher mean temperatures and relative humidities increased the risk of elderly T2DM mortality in Shandong Province. However, a higher humidity level decreased the T2DM mortality risk in winter in Shandong Province. This research indicated that the spatiotemporal method could be a useful tool to assess the impact of socio-environmental factors on health by combining the spatial and temporal effects.

The correlation between healthy lifestyle habits and all-cause and cardiovascular mortality in Guangxi

BACKGROUND

Adherence to healthy lifestyle habits has become a mainstream approach for lessening the burden of cardiovascular disease (CVD) during initial prevention efforts. The purpose of this study was to investigate the prevalence of four healthy lifestyle habits, the associated factors, and their impact on all-cause and cardiovascular mortality among residents of Guangxi Zhuang Autonomous Region.

METHODS

From 2015 to 2019, individuals between the ages of 35 and 75 from Guangxi Zhuang Autonomous Region were recruited through the ChinaHeart Million Person Project. Our study examined four healthy lifestyle habits: not smoking, no or moderate amounts of alcohol, sufficient leisure time physical activity (LTPA) and a balanced diet.

RESULTS

Out of the 19,969 individuals involved, the majority, 77.3% did not smoke, while 96.7% had limited alcohol intake, 24.5% engaged in sufficient LTPA, 5.5% followed a balanced diet, and merely 1.7% adhered to all four healthy lifestyle habits. Participants who were women, older, nonfarmers, living in cities, with a high income or level of education, or had hypertension or diabetes were more likely to follow all four healthy lifestyle habits (p < 0.001). People who followed the three healthy lifestyle habits had reduced chances of death from all cause (HR 0.34[95% CI:0.15,0.76]) and cardiovascular-related death (HR 0.23 [95% CI: 0.07, 0.68]) (p < 0.01) over a median period of 3.5 years.

CONCLUSIONS

In Guangxi Province, the level of adherence to healthy lifestyle habits is very minimal. Therefore, population-specific health promotion strategies are urgently needed.

Dietary Patterns and Cardiovascular Diseases in Asia: A Systematic Review and Meta-Analysis

With emerging Asian-derived diet quality indices and data-driven dietary patterns available, we aimed to synthesize the various dietary patterns and quantify its association with cardiovascular diseases (CVDs) among Asian populations. We systematically searched PubMed, Embase, Scopus, and Web of Science for observational studies in South, Southeast, and East Asia. Dietary patterns were grouped "high-quality," which included high intakes of three or more of the following food groups: 1) fruits and vegetables, 2) whole grains, 3) healthy protein sources (legumes and nuts, fish and seafood, low-fat dairy, and lean meat and poultry), and 4) liquid plant oils. High-quality patterns were further subcategorized based on their derivation methods: non-Asian indices, Asian indices, data-driven patterns, and plant-based indices. Dietary patterns were grouped "low-quality," which included high intakes of two or more of the following: 5) ultraprocessed food, 6) beverages and foods with added sugars, 7) foods high in salt, and 8) alcoholic beverages. Data-driven dietary patterns characterized by animal food sources were labeled "animal-based," and studies using dietary diversity scores were labeled "diet diversity indices." Dietary patterns that could not be meaningfully categorized were summarized narratively. Study-specific effect estimates were pooled using a random-effects model. Forty-one studies were included in this review. Higher adherence to high-quality dietary patterns in the top compared with bottom tertile defined by non-Asian indices (RR: 0.78; 95% CI: 0.69, 0.88; GRADE: moderate), Asian indices (RR: 0.84; 95% CI: 0.79, 0.90; GRADE: low), and data-driven patterns (RR: 0.81; 95% CI: 0.74, 0.89; GRADE: moderate) were associated with lower CVD risk. Plant-based, low-quality, animal-based, and diet diversity indices dietary patterns were not associated with CVD. Associations of Asian diet quality indices and CVD risk were weaker than those with non-Asian indices, highlighting the need for current Asian diet quality criteria to be updated to better capture the impact of diet on CVD. The systematic review and meta-analysis was registered at PROSPERO as CRD42021244318.

Health impacts of lifestyle and ambient air pollution patterns on all-cause mortality: a UK Biobank cohort study

BACKGROUND

Extensive evidence indicates that both lifestyle factors and air pollution are strongly associated with all-cause mortality. However, little studies in this field have integrated these two factors in order to examine their relationship with mortality and explore potential interactions.

METHODS

A cohort of 271,075 participants from the UK Biobank underwent analysis. Lifestyles in terms of five modifiable factors, namely smoking, alcohol consumption, physical activity, diet, and sleep quality, were classified as unhealthy (0-1 score), general (2-3 score), and healthy (4-5 score). Air pollution, including particle matter with a diameter ≤ 2.5 μm (PM2.5), particulate matter with a diameter ≤ 10 μm (PM10), particulate matter with a diameter 2.5-10 μm (PM2.5-10), nitrogen dioxide (NO2), and nitrogen oxides (NOx), was divided into three levels (high, moderate, and low) using Latent Profile Analysis (LPA). Cox proportional hazard regression analysis was performed to examine the links between lifestyle, air pollution, and all-cause mortality before and after adjustment for potential confounders. Restricted cubic spline curves featuring three knots were incorporated to determine nonlinear relationships. The robustness of the findings was assessed via subgroup and sensitivity analyses.

RESULTS

With unhealthy lifestyles have a significantly enhanced risk of death compared to people with general lifestyles (HR = 1.315, 95% CI, 1.277-1.355), while people with healthy lifestyles have a significantly lower risk of death (HR = 0.821, 95% CI, 0.785-0.858). Notably, the difference in risk between moderate air pollution and mortality risk remained insignificant (HR = 0.993, 95% CI, 0.945-1.044). High air pollution, on the other hand, was independently linked to increased mortality risk as compared to low air pollution (HR = 1.162, 95% CI, 1.124-1.201). The relationship between NOx, PM10, and PM2.5-10 and all-cause mortality was found to be nonlinear (p for nonlinearity < 0.05). Furthermore, no significant interaction was identified between lifestyle and air pollution with respect to all-cause mortality.

CONCLUSIONS

Exposure to ambient air pollution elevated the likelihood of mortality from any cause, which was impacted by individual lifestyles. To alleviate this hazard, it is crucial for authorities to escalate environmental interventions, while individuals should proactively embrace and sustain healthy lifestyles.

Healthy lifestyles and rapid progression of carotid plaque in population with atherosclerosis: A prospective cohort study in China

Background

Healthy lifestyles are effective means to reduce major cardiovascular events. However, little is known about the association of healthy lifestyles with development of carotid atherosclerosis at the early stage of cardiovascular diseases (CVDs).

Methods

We enrolled participants from Fujian province in the China PEACE MPP project. We calculated a healthy lifestyle score by adherence to non-smoking, sufficient physical activity, healthy diet and healthy body mass index. Cox proportional hazards regression models and restricted cubic splines (RCS) were used to explore the association between the healthy lifestyles and rapid progression of carotid plaque.

Results

8379 participants were included (mean age: 60.6 ± 8.3 years, 54.6 % female), with a median follow-up of 1.2 years (inter quartile range: 1.0-1.6). RCS showed a significant inverse association between the healthy lifestyle score and progression of carotid plaque. Participants with "intermediate" (HR: 0.72 [95 % confidence interval (CI): 0.65-0.80]) or "ideal" (HR: 0.68 [0.59-0.78]) adherence to healthy lifestyles had a lower risk of progression of carotid plaque compared to those with "poor" adherence. Age, sex, occupation, income, residence type and metabolic status were significant factors influencing the relationship. Farmers benefited more in non-smoking and sufficient physical activity compared to non-farmers, and participants with lower income or without dyslipidaemia benefited more in sufficient physical activity and healthy diet compared to their counterparts (p-for-interaction < 0.05).

Conclusions

Healthy lifestyles were associated with lower risk of progression of carotid plaque in populations with atherosclerosis. Promotion of healthy lifestyles from the early stage of carotid atherosclerosis could reduce the burden of CVDs in China.

Lifestyle behaviors and risk of cardiovascular disease and prognosis among individuals with cardiovascular disease: a systematic review and meta-analysis of 71 prospective cohort studies

BACKGROUND

Healthy lifestyle behaviors (LBs) have been widely recommended for the prevention and management of cardiovascular disease (CVD). Despite a large number of studies exploring the association between combined LBs and CVD, a notable gap exists in integration of relevant literatures. We conducted a systematic review and meta-analysis of prospective cohort studies to analyze the correlation between combined LBs and the occurrence of CVD, as well as to estimate the risk of various health complications in individuals already diagnosed with CVD.

METHODS

Articles published up to February 10, 2023 were sourced through PubMed, EMBASE and Web of Science. Eligible prospective cohort studies that reported the relations of combined LBs with pre-determined outcomes were included. Summary relative risks (RRs) and 95% confidence intervals (CIs) were estimated using either a fixed or random-effects model. Subgroup analysis, meta-regression, publication bias, and sensitivity analysis were as well performed.

RESULTS

In the general population, individuals with the healthiest combination of LBs exhibited a significant risk reduction of 58% for CVD and 55% for CVD mortality. For individuals diagnosed with CVD, adherence to the healthiest combination of LBs corresponded to a significant risk reduction of 62% for CVD recurrence and 67% for all-cause mortality, when compared to those with the least-healthy combination of LBs. In the analysis of dose-response relationship, for each increment of 1 healthy LB, there was a corresponding decrease in risk of 17% for CVD and 19% for CVD mortality within the general population. Similarly, among individuals diagnosed with CVD, each additional healthy LB was associated with a risk reduction of 27% for CVD recurrence and 27% for all-cause mortality.

CONCLUSIONS

Adopting healthy LBs is associated with substantial risk reduction in CVD, CVD mortality, and adverse outcomes among individuals diagnosed with CVD. Rather than focusing solely on individual healthy LB, it is advisable to advocate for the adoption of multiple LBs for the prevention and management of CVD.

TRIAL REGISTRATION

PROSPERO: CRD42023431731.

Sociodemographic Factors, Leisure-Time Physical Activity and Mortality

INTRODUCTION

Exploring sociodemographic effect modification is important to provide evidence for developing targeted recommendations and reducing health inequalities. This study evaluated how sociodemographic factors including age, sex, race/ethnicity and socioeconomic status (SES) modify the association between leisure-time physical activity (LTPA) and all-cause and major cause-specific mortality.

METHODS

The study sample included 471,992 people from the 1997-2018 National Health Interview Survey (NHIS) and 41,830 people from the 1999-2018 National Health and Nutrition Examination Survey (NHANES). Data were analyzed in December 2022. Mortality data from the National Death Index were available to December 31, 2019. Sufficient LTPA was defined as at least 150 minutes of moderate and/or vigorous intensity per week.

RESULTS

There were 46,289 deaths in NHIS participants and 4,617 deaths in NHANES participants during a mean follow-up of 10 years. Individuals with sufficient LTPA had lower risk of all-cause (NHIS: hazard ratio, 0.74, 95% CI: [0.74-0.74]; NHANES: 0.73 [0.68-0.79]) and cardiovascular mortality (NHIS: 0.75 [0.75-0.75]; NHANES: 0.80 [0.69-0.93]) compared with inactive participants. The subgroup analysis showed significant interactions between LTPA and all sociodemographic factors. Associations between LTPA and mortality were weaker among younger individuals, males, Hispanic adults or those of low SES, respectively.

CONCLUSIONS

Sociodemographic factors significantly modified the associations between LTPA and mortality. The health benefits of sufficient LTPA were smaller in younger individuals, males, Hispanic adults or those of low SES. These findings can help identify target populations for promotion of physical activity to reduce health inequalities and the development of physical activity guidelines.

Prevalence, medication adherence, and determinants of type 2 diabetes mellitus during Coronavirus Disease 2019 pandemic among adults in Tanzania

Introduction

Excessive consumption of comfort foods, which are mostly high in carbs, and limitations on outdoor and gym-based physical activities, for instance, are associated with foods high in the glycemic index and raise the risk of obesity and type 2 diabetes. In pandemic and or epidemic situations, peoples' lifestyles may change significantly to lead them to non-communicable diseases. However, lifestyle changes and the occurrence of type 2 diabetes mellitus during the Coronavirus Disease 2019 pandemic among adults have not been well established in Tanzania. This study assessed the prevalence, medication adherence, and determinants of type 2 diabetes mellitus among adults in the country.

Methods

A community-based analytical cross-sectional study was conducted in Dodoma region, Tanzania between September and October 2020 of which 107 adults aged above 18 years were studied regardless of whether they were newly diagnosed with type 2 diabetes mellitus or not using a quantitative research approach. Interviewer-administered lifestyle habits and medication adherence structured questionnaires benchmarked from previous studies served as the main tools of data collection. The statistical package for social sciences computer program was used to analyze the data descriptively for frequencies and percentages and by regression analysis model to determine the association between variables with a 95% confidence interval and 5% significance level.

Results

With a mean age of 31 ± 2.527 years, 59.8% of the respondents were female. 60.7% and 11.7% of the respondents had unhealthy and moderate lifestyle choices respectively. The prevalence of type 2 diabetes mellitus accounted for 63.9% of the respondents of which 44.6% were diagnostically confirmed during the Coronavirus Disease 2019 pandemic against 19.3% of respondents who were diagnosed before the pandemic. Medication adherence among the type 2 diabetes mellitus respondents accounted for 77.9% of the study respondents. Type 2 diabetes mellitus was significantly associated with being in the 36-55 age group (AOR = 1.054; 95% CI: 0.292, 3.162; p < 0.05); being female (AOR = 1.398; 95% CI: 0.205, 3.048; p < 0.05); having a job (AOR = 2.597; 95% CI: 1.243, 4.402, p < 0.05); and having unhealthy lifestyle habits (AOR = 3.301; 95% CI: 1.199, 6.52; p < 0.05).

Conclusion

The majority of adults had type 2 diabetes mellitus of which most of them were confirmed to have the disease during the Coronavirus Disease 2019 pandemic. Few type 2 diabetes mellitus adults did not adhere to their medications as recommended. Their sociodemographic characteristics profiles and unhealthy lifestyles significantly led them to have the problem. The treatment of the disease above and health promotion activities may need to take unhealthy lifestyle choices and certain sociodemographic profiles of adults into consideration to assist in preventing the problem.

Healthy lifestyle decreases the risk of the first incidence of non-communicable chronic disease and its progression to multimorbidity and its mediating roles of metabolic components: a prospective cohort study in China

OBJECTIVES

To identify the influence of healthy lifestyles on the incidence of the first NCD (FNCD), multiple chronic conditions (MCCs), and the progression from FNCD to MCCs.

DESIGN

cohort study.

SETTING

Zhejiang, China PARTICIPANTS: 10566 subjects (55.5 ± 13.5 years, 43.1% male) free of NCDs at baseline from the Zhejiang Metabolic Syndrome prospective cohort.

MEASUREMENTS

Healthy lifestyle score (HLS) was developed by 6 common healthy lifestyle factors as smoking, alcohol drinking, physical activity, body mass index (BMI) and waist-to-hip ratio (WHR). Healthy lifestyle data and metabolic biomarkers collected via a face-to-face questionnaire-based interview, clinical health examination and routine biochemical determination. Biochemical variables were determined using biochemical auto-analyzer. Participants were stratified into four group based on the levels of HLS as ≤2, 3, 4 and ≥5. Multiple Cox proportional hazards model was applied to examine the relationship between HLS and the risk of FNCD, MCCs and the progression from FNCD to MCCs. The population-attributable fractions (PAF) were used to assess the attributable role of HLS. Mediating effect was examined by mediation package in R.

RESULTS

After a median of 9.92 years of follow-up, 1572 participants (14.9%) developed FNCD, and 149 (1.4%) developed MCCs. In the fully adjusted model, the higher HLS group (≥5) was associated with lower risk of FNCD (HR = 0.68 and 95% CI: 0.56-0.82), MCCs (HR = 0.31 and 95%CI: 0.14-0.69); and the progression from FNCD to MCCs (HR = 0.39 and 95%CI: 0.18-0.85). Metabolic components (TC, TG, HDL-C, LDC-C, FPG, and UA) played the mediating roles with the proportion ranging from 5.02% to 22.2% for FNCD and 5.94% to 20.1% for MCCs. PAFs (95%CI) for poor adherence to the overall healthy lifestyle (HLS ≤ 3) were 17.5% (11.2%, 23.7%) for FNCD, 42.9% (23.4%, 61.0%) for MCCs, and 37.0% (15.5%, 56.3%) for the progression from FNCD to MCCs.

CONCLUSIONS

High HLS decreases the risk of FNCD, MCCs, and the progression from FNCD to MCCs. These effects are partially mediated by metabolic components. Maintaining healthy lifestyles might reduce the disease burden of common chronic diseases.

Lifestyle behaviors, social and economic disadvantages, and all-cause and cardiovascular mortality: results from the US National Health Interview Survey

Aim

To examine the independent relationships of lifestyle and social and economic factors with all-cause and cardiovascular disease (CVD) mortality in a large representative sample of the US adult population. Furthermore, the association between the combination of lifestyle and social and economic factors with mortality was analyzed in detail.

Methods

The sample included 103,314 participants with valid records and eligible for mortality follow-up, and information on lifestyle factors and social and economic disadvantages (NHIS waves 2000, 2005, 2010, and 2015). An unhealthy lifestyle score was constructed using information on physical activity, alcohol consumption, diet, and smoking status. Social and economic disadvantages were assessed using information on education, receipt of dividends, employment, family's home, and access to private health. Information on mortality data was determined by the National Death Index records.

Results

Compared with favorable lifestyle, unfavorable lifestyle was associated with higher all-cause (HR 2.07; 95% CI 1.97-2.19) and CVD (HR 1.84; 95% CI 1.68-2.02) mortality. Higher social and economic disadvantages were also associated with higher all-cause (HR 2.44; 95% CI 2.30-2.59) and CVD mortality (HR 2.44; 95% CI 2.16-2.77), compared to low social and economic disadvantages. In joint associations, participants in the high social and economic disadvantage and unfavorable lifestyle showed a greater risk of all-cause (HR 4.06; 95% CI 3.69-4.47) and CVD mortality (HR 3.98; 95% CI 3.31-4.79).

Conclusion

Lifestyle and social and economic disadvantages are associated with all-cause and CVD mortality. The risk of mortality increases as the number of social and economic disadvantages and unhealthy lifestyles increases.

Associations between healthy lifestyle behavioral patterns and mental health problems: A latent class analysis of 161,744 Chinese young adults

BACKGROUND

Youth mental health problems are a public health priority. Multiple healthy lifestyle behaviors may cluster into healthy lifestyle behavioral patterns (HLBPs) that increase mental health risks in adolescents and older adults, but little is known regarding young adults. This study aimed to explore the associations between cluster HLBPs and mental health problems in young adults.

METHODS

We selected 161,744 young adults aged 20-39 as participants from the database of a Chinese general hospital health management center for the years 2015-2020. The latent class analysis was used to identify HLBPs.

RESULTS

A total of 15.0 % of young adults have at least one mental health problem. Five clusters of HLBPs were identified, characterized as low-risk class (1.6 %), moderate-risk class 1 (12.0 %), moderate-risk class 2 (2.1 %), moderate-risk class 3 (56.8 %), and high-risk class (27.4 %). The odds ratios (ORs) for young adults with two mental health problems increased with the risk grade of HLBPs, while the ORs for young adults with one or three mental health problems ranged from high to low according to the risk grade of HLBPs: high-risk class, moderate-risk class 2, moderate-risk class 3, moderate-risk class 1.

LIMITATIONS

Cross-sectional design and no causal conclusions could be drawn.

CONCLUSION

Young adults demonstrated a cluster phenomenon of healthy lifestyle behaviors and significant associations between HLBPs and mental health problems. Young adults with a higher risk grade for HLBPs were more likely to have mental health problems. Different HLBPs should be taken into account when implementing mental health interventions.

Association of depression with incident sarcopenia and modified effect from healthy lifestyle: The first longitudinal evidence from the CHARLS

BACKGROUND

The prospective association of depression with incident sarcopenia remains unknown, as does whether such an association is modified by a healthy lifestyle. Thus, the goal of this study was to determine whether depression is independently related to the risk of developing sarcopenia and to detect the effect of a healthy lifestyle on its modification.

METHODS

The prospective study included 9486 participants from the China Health and Retirement Longitudinal Study who were followed from 2011 to 2015. We calculated a lifestyle score based on body mass index, drinking, smoking, social activities, and sleeping time. Cox proportional hazards regression models with hazard ratios (HRs) and 95 % confidence intervals were used to estimate the effect of depression on the risk of sarcopenia and the modification effect of lifestyle (CIs).

RESULTS

During a mean of 3.53 years of follow-up, 1373 individuals developed sarcopenia. After adjusting for confounding factors, depression was significantly associated with a higher risk of incident sarcopenia (HR = 1.34; 95 % CI: 1.19, 1.50). In addition, we observed that individuals adhering to a healthy lifestyle had an 18 % lower risk of sarcopenia onset, compared with individuals with an unhealthy lifestyle.

LIMITATIONS

We couldn't completely rule out potential residual bias due to its observational design. Second, ascertainment of the history of diseases in CHARLS was based on self-reported information, which may introduce recall bias or misclassification.

CONCLUSIONS

Depression was associated with a higher risk of sarcopenia in Chinese adults, and such a risk may be alleviated by adhering to a healthy lifestyle.

Lifestyle improvement and the reduced risk of cardiovascular disease: the China-PAR project

BACKGROUND

The benefits of healthy lifestyles are well recognized. However, the extent to which improving unhealthy lifestyles reduces cardiovascular disease (CVD) risk needs to be discussed. We evaluated the impact of lifestyle improvement on CVD incidence using data from the China-PAR project (Prediction for Atherosclerotic Cardiovascular Disease Risk in China).

METHODS

A total of 12,588 participants free of CVD were followed up for three visits after the baseline examination. Changes in four lifestyle factors (LFs) (smoking, diet, physical activity, and alcohol consumption) were assessed through questionnaires from the baseline to the first follow-up visit. Cox proportional hazard models were used to estimate hazard ratios (HRs) and corresponding 95% confidence intervals (CIs). The risk advancement periods (RAPs: the age difference between exposed and unexposed participants reaching the same incident CVD risk) and population-attributable risk percentage (PAR%) were also calculated.

RESULTS

A total of 909 incident CVD cases occurred over a median follow-up of 11.14 years. Compared with maintaining 0-1 healthy LFs, maintaining 3-4 healthy LFs was associated with a 40% risk reduction of incident CVD (HR = 0.60, 95% CI: 0.45-0.79) and delayed CVD risk by 6.31 years (RAP: -6.31 [-9.92, -2.70] years). The PAR% of maintaining 3-4 unhealthy LFs was 22.0% compared to maintaining 0-1 unhealthy LFs. Besides, compared with maintaining two healthy LFs, improving healthy LFs from 2 to 3-4 was associated with a 23% lower risk of CVD (HR = 0.77, 95% CI: 0.60-0.98).

CONCLUSIONS

Long-term sustenance of healthy lifestyles or improving unhealthy lifestyles can reduce and delay CVD risk.

Decomposing the change in the cognitive function gap between older men and women over time in China: The Chinese Longitudinal Healthy Longevity Survey

Background

This study explored how modifiable social determinants of cognitive function can influence these gender gaps.

Methods

We utilized six waves of the Chinese Longitudinal Healthy Longevity Survey (CLHLS), including 56,127 individuals aged 65+. The Kitagawa-Oaxaca-Blinder decomposition approach was used for the analysis.

Results

Older women consistently had lower average levels of cognitive function than men in each period, but the gap is narrowing. From 2002 to 2018, the gender gap in cognitive function decreased by 1.45 (95% confidence interval (CI) = -1.843, -1.097) points. The coefficients for the endowment effects decreased from 0.387 (95% CI = -0.563, -0.211) to 1.789 (95% CI = -2.471, -1.107) from 2005 to 2018. Lifestyle changes, social participation, and physical health factors significantly contributed to explaining the changes in gender gaps in cognitive function.

Conclusions

Among these contributing factors, lifestyle, social participation, and physical health have emerged as pivotal elements in reducing the gender gap in cognitive function. Targeted interventions for these variables are essential among older women to narrow the cognitive gender gaps effectively.

Associations among risk perception, health efficacy, and health behaviors for cardiovascular disease: an application of risk perception attitude framework

Background

There is currently a pervasive prevalence of cardiovascular disease (CVD) risk worldwide and an inadequate amount of action is being taken to promote healthy lifestyle habits. The risk perception attitude (RPA) framework, which classifies individuals based on their risk perception and efficacy belief, enables us to predict their preventive behaviors. We applied the RPA framework to analyze CVD prevention behaviors among Chinese adults and extended its application to CVD objective risk.

Methods

A cross-sectional survey was performed in two sites in Zhejiang Province, from March to August 2022, which contained self-reported CVD risk perception, objective CVD risk, efficacy belief, physical activity, healthy diet, and covariates. We used the RPA framework to categorize participants into four groups, then analysis was conducted to estimate inter-group differences in healthy behaviors. We further conducted a hierarchical logistic regression analysis with individuals' health behaviors as the dependent variable, using three blocks of independent variables.

Results

Among 739 participants, healthy physical activity and healthy diet had significant differences among four RPA groups, post hoc tests clarified that the proportion of respondents with healthy PA in the responsive group (61.6%) was significantly higher than that in the other three groups. Risk perception and efficacy belief significantly predicted health behavior against CVD; the relationship between absolute CVD risk and health behavior was moderated by efficacy belief.

Conclusions

Early CVD risk screening is crucial, but tailored support and a proper understanding of personal risk are essential to promote healthy behaviors. Developing communication and behavioral counseling intervention strategies on the basis of the RPA framework has the potential to promote healthy behaviors for CVD prevention.

Traffic-related air pollution, adherence to healthy lifestyles, and risk of cognitive impairment: A nationwide population-based study

BACKGROUND

Traffic-related air pollution (TRAP) is a risk factor for cognitive function, whereas healthy lifestyles are associated with better cognition. We aimed to examine their joint effects on cognition among the Chinese elderly.

METHODS

The data from the Chinese Longitudinal Healthy Longevity Survey was used. Participants' cognitive performance was assessed by the Chinese version of the mini-mental state examination. Residential proximity to major roadways was obtained through self-report and categorized into five categories: > 300 m, 201-300 m, 101-200 m, 50-100 m, and < 50 m, serving as a surrogate for TRAP. Six lifestyle behaviors (smoking, drinking, exercise, body mass index, sleep duration, and dietary diversity) were taken into account to calculate healthy lifestyle scores. The scores ranged from zero to six and were then divided into three groups: healthy (5-6), intermediate (2-4), and unhealthy (0-1). Logistic regression models were applied to investigate the joint effects of TRAP and healthy lifestyle scores on cognition.

RESULTS

Compared to participants living < 50 m from major roadways and adopting an unhealthy lifestyle, those living > 300 m from major roadways and adopting a healthy lifestyle had a significantly decreased risk of cognitive impairment. Stratified analysis indicated that the associations between TRAP and cognitive impairment were more pronounced among participants adopting an unhealthy lifestyle compared to the participants adopting a healthy lifestyle.

CONCLUSIONS

TRAP may impair cognitive function, and its detrimental impacts may be lessened by healthy lifestyles.

The burden of cardiovascular disease attributable to dietary risk factors in the provinces of China, 2002-2018: a nationwide population-based study

Background

The burden of cardiovascular diseases (CVDs) is on the rise in China, yet a comprehensive and systematic understanding of the temporal trends and distribution of CVD burden attributable to dietary factors across the provinces remains elusive. This study endeavors to provide a comprehensive depiction of the burden of CVDs attributable to dietary risk factors across China's geographical regions from 2002 to 2018.

Methods

Data from the China National Nutrition Surveys, the China Chronic Disease and Risk Factor Surveillance, the Hypertension Survey, and the Chinese Centre for Disease Control and Prevention cause-of-death reporting system were used to estimate the intake of dietary factor, the number of deaths, and disability-adjusted life years (DALYs), mortality rate, for ischemic heart disease (IHD), ischemic stroke (IS), hemorrhage and other stroke (HOS) attributable to dietary factors at national and provincial levels in China from 2002 to 2018. Using a comparative risk assessment approach, we estimated the proportion of CVDs burden attributable to suboptimal intake of seven dietary factors, both individually and collectively, among Chinese citizens aged 20 years or older.

Finding

The mean consumption of whole grains, soybeans, nuts, vegetables, fruits, red meat, and sugar-sweetened beverages (SSBs) exhibited an upward trend from 2002 to 2018. However, with the exception of red meat and SSBs, the average intake remained below the levels recommended levels outlined in the Chinese national dietary guidelines. Inadequate fruit, whole grain, and vegetables intake were the leading dietary risk factors for IHD, IS and HOS in China, while nuts, soybean and SSB were only associated with IHD mortality. From 2002 to 2018, the number of deaths and mortality rate for CVDs attributable to suboptimal diet among Chinese males were greater than that of females. With increasing age, the diet-related mortality rate for CVDs increased substantially. In 2018, the nationwide mortality rate attributable to diet was found to be 77.9 (95% UI, 77.5-78.1) per 100,000 population for IHD, 34.1 (95% UI, 33.8-34.2) for IS, and 32.8 (95% UI, 32.4-32.8) for HOS. Suboptimal diet was responsible for 16.0 million (95% UI, 13.8-18.4) DALYs and 1137.1 (95% UI, 980.4-1312.3) DALYs per 100,000 population for stroke, and 13.9 million (95% UI, 11.8-16.3) DALYs and 990.2 (95% UI, 841.2-1158.6) DALYs for IHD. Across the provinces of China, in 2018, the highest age-standardized mortality rates of all diet-related deaths were observed in Shandong (92.8 [95% UI, 89.9-93.3]) for IHD, Heilongjiang (38.1 [95% UI, 36.2-38.8]) for IS, and Tibet (68.3 [95% UI, 65.0-70.1]) for HOS. The highest diet related DALYs were observed in Henan (1.4 million [95% UI, 1.2-1.6] for IS, and 1.3 million [95% UI, 1.1-1.5] for IHD).

Interpretation

This study provides a comprehensive picture of the geographic variation and temporal trends of the burden of CVDs attributable to dietary risk factors at the national and provincial levels from 2002 to 2018 in China, highlighting the need for geographically targeted intervention strategies to improve the quality of diet and reduce the diet-related burden of CVDs.

Funding

National Key Research and Development Program of China (2018YFC1315303), National Natural Science Foundation of China (82103966).

Educational inequalities in mortality and their mediators among generations across four decades: nationwide, population based, prospective cohort study based on the ChinaHEART project

OBJECTIVES

To assess the different educational inequalities in mortality among generations born between 1940 and 1979 in China, and to investigate the role of socioeconomic, behavioural, and metabolic factors as potential contributors to the reduction of educational inequalities.

DESIGN

Nationwide, population based, prospective cohort study.

SETTING

The ChinaHEART (China Health Evaluation And risk Reduction through nationwide Teamwork) project in all 31 provinces in the mainland of China.

PARTICIPANTS

1 283 774 residents aged 35-75 years, divided into four separate cohorts born in 1940s, 1950s, 1960s, and 1970s.

MAIN OUTCOME MEASURES

Relative index of inequality and all cause mortality.

RESULTS

During a median follow-up of 3.5 years (interquartile range 2.1-4.7), 22 552 deaths were recorded. Among the four generations, lower education levels were found to be associated with a higher risk of all cause death: Compared with participants with college level education or above, the hazard ratio for people with primary school education and below was 1.4 (95% confidence interval 1.2 to 1.7) in the 1940s cohort, 1.8 (1.5 to 2.1) in the 1950s cohort, 2.0 (1.7 to 2.4) in the 1960s cohort, and 1.8 (1.4 to 2.4) in the 1970s cohort. Educational relative index of inequality in mortality increased from 2.1 (95% confidence interval 1.9 to 2.3) in the 1940s cohort to 2.6 (2.1 to 3.3) in the 1970s cohort. Overall, the mediation proportions were 37.5% (95% confidence interval 32.6% to 42.8%) for socioeconomic factors, 13.9% (12.0% to 16.0%) for behavioural factors, and 4.7% (3.7% to 5.8%) for metabolic factors. Except for socioeconomic measurements, the mediating effects by behavioural and metabolic factors decreased in younger generations.

CONCLUSION

Educational inequalities in mortality increased over generations in China. Improving healthy lifestyles and metabolic risk control for less educated people, especially for younger generations, is essential to reduce health inequalities.

The role of lifestyle in the association between frailty and all-cause mortality amongst older adults: a mediation analysis in the UK Biobank

OBJECTIVE

frailty is a syndrome characterised by increased vulnerability to stressors, which manifests as higher death risk. Whilst guidelines for frailty management usually entails lifestyle modifications (e.g. physical exercise, diet), the mediating role of lifestyle on the excess mortality associated with frailty is unclear. This study estimates the death risk due to frailty that could be avoided with a healthy lifestyle in older adults.

SUBJECTS AND METHODS

we analysed data from 91,906 British individuals aged ≥60 years recruited between 2006 and 2010. At baseline, frailty was identified according to Fried's phenotype, and a four-item Healthy Lifestyle Index (HLS) was calculated based on physical activity, diet, smoking and alcohol consumption. Mortality was ascertained from baseline through 2021. A mediation analysis under the counterfactual framework was performed adjusting for the main confounders.

RESULTS

during a median follow-up of 12.5 years, 9,383 deaths occurred. Frailty was directly associated with all-cause mortality (hazard ratio: 2.30 [95% confidence interval {CI} 2.07, 2.54]), and inversely associated with the HLS (ß: -0.45 points [-0.49, -0.40]). The hazard ratio [95%CI] for the direct effect of frailty on mortality was 2.12 [1.91, 2.34], whilst for the indirect effect (mediated by HLS) was 1.08 [1.07, 1.10]. The mediated proportion of HLS on mortality was 13.55% [11.26, 16.20], with physical activity having the highest proportion amongst the four HLS items (7.69% [5.00, 10.40]).

CONCLUSIONS

a healthy lifestyle partly mediates the association between frailty and mortality in British older adults. Since this was an exploratory mediation analysis, these results should be specifically tested in future research.

Emerging healthy lifestyle factors and all-cause mortality among people with metabolic syndrome and metabolic syndrome-like characteristics in NHANES

BACKGROUND

The impact of integrated lifestyles on health has attracted a lot of attention. It remains unclear whether adherence to low-risk healthy lifestyle factors is protective in individuals with metabolic syndrome and metabolic syndrome-like characteristics. We aimed to explore whether and to what extent overall lifestyle scores mitigate the risk of all-cause mortality in individuals with metabolic syndrome and metabolic syndrome-like characteristics.

METHODS

In total, 6934 participants from the 2007 to 2014 National Health and Nutrition Examination Survey (NHANES) were included. The weighted healthy lifestyle score was constructed based on smoking, alcohol consumption, physical activity, diet, sleep duration, and sedentary behavior information. Generalized linear regression models and restricted cubic splines were used to analyze the association between healthy lifestyle scores and all-cause mortality. ​ RESULTS: Compared to participants with relatively low healthy lifestyle scores, the risk ratio (RR) in the middle healthy lifestyle score group was 0.51 (RR = 0.51, 95% CI 0.30-0.88), and the high score group was 0.26 (RR = 0.26, 95% CI 0.15-0.48) in the population with metabolic syndrome. The difference in gender persists. In females, the RRs of the middle and high score groups were 0.47 (RR = 0.47, 95% CI 0.23-0.96) and 0.21 (RR = 0.21, 95% CI 0.09-0.46), respectively. In males, by contrast, the protective effect of a healthy lifestyle was more pronounced in the high score group (RR = 0.33, 95% CI 0.13-0.83) and in females, the protective effects were found to be more likely. The protective effect of a healthy lifestyle on mortality was more pronounced in those aged < 65 years. Higher lifestyle scores were associated with more prominent protective effects, regardless of the presence of one metabolic syndrome factor or a combination of several factors in 15 groups. What's more, the protective effect of an emerging healthy lifestyle was more pronounced than that of a conventional lifestyle.

CONCLUSIONS

Adherence to an emerging healthy lifestyle can reduce the risk of all-cause mortality in people with metabolic syndrome and metabolic syndrome-like characteristics; the higher the score, the more obvious the protective effect. Our study highlights lifestyle modification as a highly effective nonpharmacological approach that deserves further generalization.

Association between lifestyle behaviors and health-related quality of life among primary health care physicians in China: A cross-sectional study

Background

Primary health care (PHC) serves as the gatekeeper of health system and PHC physicians take on significant obligations to provide health care services in the pursuit of Universal Health Coverage (UHC). PHC physicians' health-related quality of life (HRQoL) can have a strong impact on patients, physicians and the health care system. Lifestyle interventions are found to be effective to improve HRQoL. The purpose of this study was to evaluate the association between lifestyle behaviors and HRQoL among PHC physicians, so that lifestyle intervention can be tailored by policy makers for health promotion.

Methods

A survey covering 31 provinces and administrative regions in China was conducted in 2020 using a stratified sampling strategy. Data on sociodemographic characteristics lifestyle behaviors and HRQoL were collected by a self-administered questionnaire. HRQoL was measured through EuroQol-five dimension-five level (EQ-5D-5L) instrument. A Tobit regression model was performed to evaluate the association between sociodemographic characteristics, lifestyle behaviors and HRQoL.

Results

Among 894 PHC physicians who completed the survey, Anxiety/Depression (AD) was the dimension with the most problems reported (18.1%). Regular daily routine (β = 0.025, 95%CI 0.004 to 0.045) and good sleep quality (β = 0.049, 95% CI = 0.029 to 0.069) were protective factors for HRQoL, while smoking (β = −0.027, 95% CI = −0.079 to −0.003) and frequency of eating breakfast (β = −0.041, 95%CI = −0.079 to −0.003) were negatively associated with HRQoL. Physical activity and alcohol drinking were not significantly associated with HRQoL.

Conclusion

These findings suggest that tailored interventions on daily routine, improving sleep quality, and tobacco control among PHC physicians may be effective strategies to improve their HRQoL.

Time-Varying Effect of Physical Activity on Mortality Among Myocardial Infarction Survivors: A Nationwide Population-Based Cohort Study

Background

Physical activity (PA) is an important component of secondary prevention after myocardial infarction (MI). The mortality risk of MI survivors varies at different post-MI periods, yet the time-varying effect of total PA is unclear. We aimed to investigate the association between different volumes and patterns of total PA and mortality at different post-MI periods.

Methods

Using data from the China Patient-centered Evaluative Assessment of Cardiac Events Million Persons Project, we divided the screened MI survivors into within-1-year and beyond-1-year groups based on the duration between their baseline interview and MI onset. Total PA was divided into insufficient ( < 3000 metabolic equivalent of task [MET] minutes/week) and sufficient PA. Sufficient PA was further categorized as moderate and high (3000-4500 and > 4500 MET minutes/week) volumes; leisure ( ≥ 50%) and non-leisure ( > 50%) patterns. Data on mortality were derived from the National Mortality Surveillance System and Vital Registration of the Chinese Center for Disease Control and Prevention. Cox proportional hazard models were fitted to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). Restricted cubic spline regression analyses were performed to examine the dose-response association between PA and mortality.

Results

During the follow-up (median 3.7 years) of the 20,653 post-MI patients, 751 patients died. In the within-1-year group, moderate (HR: 0.59, 95% CI: 0.40 to 0.88) and high (0.63, 0.45 to 0.88) volumes and both patterns (leisure: 0.52, 0.29 to 0.94; non-leisure: 0.64, 0.46 to 0.88) of PA were all associated with significantly lower risk of mortality, compared with insufficient PA. In the beyond-1-year group, the association was observed in high volume (0.69, 0.56 to 0.86) and both patterns (leisure: 0.64, 0.48 to 0.87; non-leisure: 0.79, 0.65 to 0.97). A non-linear relationship between PA and mortality was found in the within-1-year group (p for non-linearity < 0.001), while a linear relationship was demonstrated in the beyond-1-year group (p for non-linearity = 0.107).

Conclusions

Sufficient total PA was associated with mortality risk reduction after MI, either leisure or non-leisure pattern. Different dose-response associations between PA and mortality were found at different post-MI periods. These results could promote individualized and scientifically derived secondary prevention strategies for MI.

Association of lifestyle behaviors with health-related quality of life among patients with hematologic diseases

PURPOSE

Health-related quality of life (HRQoL) is a multi-dimensional construct used to assess the impact of health status on quality of life, and it is known to be affected by lifestyle behaviors. This study focused on multiple lifestyle behaviors among patients with hematologic diseases, including physical activity, dietary intake, sleep quality, occupational exposure, alcohol consumption and smoking. The main objective was to investigate the association of both individual and clustering of health behaviors with HRQoL among the population with hematologic diseases based on a comprehensive lifestyle survey.

METHODS

A total of 539 patients with hematologic diseases aged over 18 years were enrolled in this cross-sectional study. Latent class analysis was used to identify homogeneous, mutually exclusive lifestyle classes, and multinomial logistic regression was then performed to explore the association of lifestyle classes membership with HRQoL. Meanwhile, multiple linear regression and quantile regression were used to identify the relationship between individual lifestyle behaviors and HRQoL.

RESULTS

A three-class model was selected based on conceptual interpretation and model fit. We found no association between multiple lifestyle behaviors and HRQoL in the 3-class model, either in the whole patients or in subgroups stratified by hematological malignancies. Further research on each lifestyle found that physical activity, dietary intake, occupational exposure, alcohol consumption or smoking were independent of HRQoL. Sleep quality was positively associated with HRQoL.

CONCLUSION

Our findings suggested that clustering of lifestyle behaviors may not be an indicator to reflect the health quality of patients with hematologic diseases. Sleep represents a viable intervention target that can confer health benefits on the hematologic patients.

Activity-to-sedentary ratio provides novel insight into mortality reduction among male survivors of cardiovascular disease in the United States: national health and nutrition examination survey, 2007-2014

BACKGROUND

Lower physical activity and sedentary behavior have been identified as modifiable risk factors for cardiovascular disease (CVD). However, the quantitative, dose-response association between activity-to-sedentary ratio (ASR) and mortality is unknown.

METHODS

Prospective cohort studies with participants 50 to 80 years that reported the association between recreational physical activity, sedentary behavior, and all-cause mortality were included from the 2007 to 2014 United States National Health and Nutrition Examination Survey (NHANES) and followed through December 31, 2015. Cox or Weibull regression models and restricted cubic splines were used to determine the association between ASR and all-cause mortality.

RESULTS

Sixty deaths occurred among 498 CVD survivors, with a median of 56 months of follow-up. After accounting for all covariates, CVD survivors with an ASR between 0.21 and 0.57 (hazard ratio [HR], 0.47; 95% confidence interval [CI], 0.25-0.87) and those with an ASR more than 0.57 (HR, 0.40; 95% CI, 0.20-0.81) were at significantly lower risk for mortality than participants with an ASR <  0.21. Moreover, a nonlinear negative association and an L-shaped association were observed for the level of ASR with risk of mortality among CVD survivors (P for nonlinearity = 0.004). What's more, adjusting for covariates, a statistically significant interaction (P for interaction = 0.016) between sex and ASR, an increase of ASR more than and equal to 0.18 was associated with a lower risk of mortality among males (HR, 0.23; 95% CI, 0.12-0.46).

CONCLUSIONS

An negative correlation between ASR and mortality in CVD survivors, especially in males when ASR is more than 0.18. Our novel findings provide further insights into easing the global burden of deaths.

Associations between Sedentary Duration and Cognitive Function in Older Adults: A Longitudinal Study with 2-Year Follow-Up

OBJECTIVES

This study aimed to investigate the association between different forms of sedentary behavior and cognitive function in Chinese community-dwelling older adults.

DESIGN

A longitudinal study with a 2-year follow-up.

SETTING AND PARTICIPANTS

Data from 5356 participants at baseline and 956 participants at the follow-up of the Anhui Healthy Longevity Survey (AHLS) were analysed.

MEASUREMENTS

Cognitive function was evaluated by the Mini-Mental State Examination (MMSE), and mild cognitive impairment (MCI) was classified according to education-specific criteria. Self-report questionnaires were used to assess the sedentary behavior of the participants.

RESULTS

The participants who reported longer screen-watching sedentary duration had higher MMSE scores (1-2 hours: β=0.758, 95% CI: 0.450, 1.066; > 2 hours: β=1.240, 95% CI: 0.917, 1.562) and lower likelihoods of MCI (1-2 hours: OR= 0.787, 95% CI: 0.677, 0.914; >2 hours: OR=0.617, 95% CI: 0.524, 0.726). The participants who had played cards (or mahjong) sedentary had higher MMSE scores (β= 1.132, 95% CI: 0.788, 1.476) and lower likelihoods of MCI (OR=0.572, 95% CI: 0.476, 0.687). However, the participants who reported longer other forms of sedentary duration had lower MMSE scores (1-2 hours: β=-0.409, 95% CI: -0.735, -0.082; > 2 hours: β=-1.391, 95% CI: -1.696, -1.087) and higher likelihoods of MCI (1-2 hours: OR=1.271, 95% CI: 1.081, 1.496; > 2 hours: OR=1.632, 95% CI: 1.409, 1.889). No significant association was detected between sedentary duration and MCI incidence.

CONCLUSION

Variations in the impact of diverse sedentary behaviors on the cognitive function were detected in Chinese older adults. However, such associations were cross-sectional and longitudinal associations were not found in the current study.

A pilot study on the impacts of lung-strengthening Qigong on wellbeing

BACKGROUND

Qigong embraces a range of self-care exercises originating from China. Lung-Strengthening Qigong (LSQ) is a specific technique for maintaining and improving physical and mental wellbeing.

METHODS

We recruited 170 practitioners and 42 non-practitioner/control samples to investigate the impacts of LSQ practice on body, mind, thoughts, and feelings. This is a pilot study pursued to plan for an adequately powered, non-clinical randomized controlled trials (RCT) on overall wellbeing and health and to evaluate the adequacy of delivering the physical activity intervention with fidelity. Self-evaluation-based data collection schemes were developed by regularly requesting completion of a questionnaire from both practitioner and control group, and an online diary and end of study survey (EOS) completion only from the practitioners. Diverse types of analyses were conducted, including statistical tests, machine learning, and qualitative thematic models.

RESULTS

We evaluated all different data resources together and observed that (a)the impacts are diverse, including improvements in physical (e.g., elevated sleep quality, physical energy, reduced fatigue), mental (e.g., increased positivity, reduced stress), and relational (e.g., enhanced connections to self and nature) wellbeing, which were not observed in control group; (b)measured by the level-of-effectiveness, four distinct clusters were identified, from no-effect to a high-level of effect; (c)a majority (84 %) of the LSQ practitioners experienced an improvement in wellbeing; (d)qualitative and quantitative analyses of the diary entries, questionnaires, and EOS were all found to be consistent, (e)majority of the positively impacted practitioners had no or some little prior experience with LSQ.

CONCLUSIONS

Novel features of this study include (i)an increased sample size vis-à-vis other related studies; (ii)provision of weekly live-streamed LSQ sessions; (iii)integration of quantitative and qualitative type of analyses. The pilot study indicated that the proportion of practitioners who continued to engage in completing the regular-interval questionnaires over time was higher for practitioners compared to the control group. The engagement of practitioners may have been sustained by participation in the regular live LSQ sessions. To fully understand the impacts of LSQ on clinical/physiological outcomes, especially for specific patient groups, more objective biomarkers (e.g. respiratory rate, heart rate variation) could be tracked in future studies.

Socio-demographic factors and healthy lifestyle behaviours among Malaysian adults: National Health and Morbidity Survey 2019

This study aimed to investigate the association between socio-demographic factors and designated healthy lifestyle behaviours in a nationally-representative sample of Malaysian adults aged 18 years and above. Secondary data involving 7388 participants aged 18-96 years from the National Health and Morbidity Survey 2019, a national cross-sectional survey, was used in this study. A healthy lifestyle score (0-5 points) was calculated based on five modifiable lifestyle factors: non-smoker, body mass index < 25 kg/m², physically active, moderate (or less) alcohol intake, and daily consumption of ≥ 5 servings of fruits and vegetables. Associations between socio-demographic factors and healthy lifestyle behaviours were examined using multinomial logistic regression adjusted for sampling design. About 30.6% of the participants met at least four out of the five healthy lifestyle factors. In multinomial model, subjects who were female (aOR = 3.26, 95%CI = 2.58, 4.12), of Chinese (aOR = 2.31, 95%CI = 1.62, 3.30 or other ethnicity (aOR = 1.44, 95%CI = 1.05, 1.98), and aged 18-30 years (aOR = 1.74, 95% CI = 1.12, 2.71) showed significant association with achieving healthy lifestyle compared to male, Malay and ≥ 61 years old as reference categories. Our results indicated that gender, age and ethnicity associated with healthy lifestyle behaviours. Information on the influence of socio-demographic factors on the prevalence of healthy lifestyles will facilitate the development of effective intervention strategies to improve the adaptation of healthy lifestyle practices.

Atherosclerotic Cardiovascular Disease Risk and Lipid-Lowering Therapy Requirement in China

Background

Lipid-lowering therapy (LLT) is one of the key strategies for reducing the atherosclerotic cardiovascular disease (ASCVD) burden. However, little is known about the percentage of people in need of different LLT regimens to achieve optimal targets of low-density lipoprotein cholesterol (LDL-C), and the corresponding cost and benefit.

Methods

We conducted a simulation study based on the data from the nationwide China PEACE MPP population cohort (2015–2020), from which we included 2,904,914 participants aged 35–75 years from all the 31 provinces in mainland China. Participants were grouped based on their 10-year ASCVD risks, then entered into a Monte Carlo model which was used to perform LLT intensification simulation scenarios to achieve corresponding LDL-C goals in each risk stratification.

Results

After standardizing age and sex, the proportions of participants included at low, moderate, high, and very-high risk were 70.8%, 15.6%, 11.5%, and 2.1%, respectively. People who failed to achieve the corresponding LDL-C goals −8.1% at low risk, 19.6% at moderate risk, 53.2% at high risk, and 93.6% at very-high risk (either not achieving the goal or not receiving LLT)—would be in need of the LLT intensification simulation. After the use of atorvastatin 20 mg was simulated, over 99% of the population at low or moderate risk could achieve the LDL-C goals; while 11.3% at high and 24.5% at very-high risk would still require additional non-statin therapy. After the additional use of ezetimibe, there were still 4.8% at high risk and 11.3% at very-high risk in need of evolocumab; and 99% of these two groups could achieve the LDL-C goals after the use of evolocumab. Such LLT intensification with statin, ezetimibe, and evolocumab would annually cost $2.4 billion, $4.2 billion, and $24.5 billion, respectively, and prevent 264,170, 18,390, and 17,045 cardiovascular events, respectively.

Conclusions

Moderate-intensity statin therapy is pivotal for the attainment of optimal LDL-C goals in China, and around 10–25% of high- or very-high-risk patients would require additional non-statin agents. There is an opportunity to reduce the rising ASCVD burden in China by optimizing LLT.