Healthy Lifestyle Score Research Articles

Combined healthy lifestyles and risk of depressive symptoms: A baseline survey in China

BackgroundLittle evidence exists about whether a combination of healthy lifestyle factors is associated with a lower risk of depressive symptoms among Chinese population. We aimed to investigate the association between combined healthy lifestyle factors and risk of depressive symptoms. MethodsWe conducted a baseline survey from July 2021 to December 2023, including 53,642 Chinese adults from general population. A healthy lifestyle score was constructed based on six lifestyle factors (physical activity, smoking status, alcohol consumption, diet, sleep duration, and body mass index). Logistic regression models were used to estimate odds ratios (ORs) and 95 % confidence intervals (CIs) adjusted for confounding variables. ResultsEach additional healthy lifestyle score was associated with a 20 % lower risk of having depressive symptoms (OR (95 % CI): 0.80 (0.78–0.81)). Compared with individuals with ≤2 healthy lifestyle factors, individuals with all the six healthy lifestyle factors had a 58 % reduced risk of having depressive symptoms (0.42 (0.37–0.47)). After stratification by gender, education and urbanization, the significant inverse association with healthy lifestyle score was stronger in women, individuals with high education, and urban residents. Besides, the significant negative association between healthy lifestyle score and depressive symptoms remained for different severity of depressive symptoms. LimitationsGiven the cross-sectional nature of data, we cannot make causal inferences. ConclusionsOur study indicated that adherence to healthy lifestyle factors was associated with a reduced risk of having depressive symptoms among Chinese adults. The observed associations were modified by gender, education and urbanization. These findings warrant further verification in interventional studies.

Spicy food consumption and risk of vascular disease: Evidence from a large-scale Chinese prospective cohort of 0.5 million people.

Spicy food consumption has been reported to be inversely associated with mortality from multiple diseases. However, the effect of spicy food intake on the incidence of vascular diseases in the Chinese population remains unclear. This study was conducted to explore this association. This study was performed using the large-scale China Kadoorie Biobank (CKB) prospective cohort of 486,335 participants. The primary outcomes were vascular disease, ischemic heart disease (IHD), major coronary events (MCEs), cerebrovascular disease, stroke, and non-stroke cerebrovascular disease. A Cox proportional hazards regression model was used to assess the association between spicy food consumption and incident vascular diseases. Subgroup analysis was also performed to evaluate the heterogeneity of the association between spicy food consumption and the risk of vascular disease stratified by several basic characteristics. In addition, the joint effects of spicy food consumption and the healthy lifestyle score on the risk of vascular disease were also evaluated, and sensitivity analyses were performed to assess the reliability of the association results. During a median follow-up time of 12.1years, a total of 136,125 patients with vascular disease, 46,689 patients with IHD, 10,097 patients with MCEs, 80,114 patients with cerebrovascular disease, 56,726 patients with stroke, and 40,098 patients with non-stroke cerebrovascular disease were identified. Participants who consumed spicy food 1-2days/week (hazard ratio [HR]=0.95, 95% confidence interval [95% CI] = [0.93, 0.97], P<0.001), 3-5days/week (HR = 0.96, 95% CI = [0.94, 0.99], P=0.003), and 6-7days/week (HR = 0.97, 95% CI = [0.95, 0.99], P=0.002) had a significantly lower risk of vascular disease than those who consumed spicy food less than once a week (Ptrend<0.001), especially in those who were younger and living in rural areas. Notably, the disease-based subgroup analysis indicated that the inverse associations remained in IHD (Ptrend=0.011) and MCEs (Ptrend=0.002) risk. Intriguingly, there was an interaction effect between spicy food consumption and the healthy lifestyle score on the risk of IHD (Pinteraction=0.037). Our findings support an inverse association between spicy food consumption and vascular disease in the Chinese population, which may provide additional dietary guidance for the prevention of vascular diseases.

Association between United States Environmental Contaminants and the Prevalence of Psoriasis Derived from the National Health and Nutrition Examination Survey.

(1) Background: Prolonged coexposure to environmental contaminants is reportedly associated with adverse impacts on skin health. However, the collective effects of contaminant mixtures on psoriasis prevalence remain unclear. (2) Methods: A nationally representative cohort study was conducted using data from the National Health and Nutrition Examination Survey 2003-2006 and 2009-2014. The association between contaminant exposures and psoriasis prevalence was analyzed through weighted quantile sum regressions, restricted cubic splines, and multivariable logistic regression. (3) Results: 16,453 participants and 60 contaminants in 8 groups were involved. After adjusting for demographics and comorbidities, exposure to urinary perchlorate, nitrate, and thiocyanate mixtures (OR: 1.10, 95% CI: 1.00-1.21) demonstrated a significant positive linear association with psoriasis prevalence. Ethyl paraben (OR: 1.21, 95% CI: 1.02-1.44) exhibited a significant positive correlation with psoriasis risk as an individual contaminant. The association between blood cadmium, lead, and mercury mixtures (OR: 1.10, 95% CI: 1.00-1.21), urinary perchlorate, nitrate, and thiocyanate mixtures (OR: 1.16, 95% CI: 1.00-1.34), and psoriasis prevalence was more pronounced in the lower healthy lifestyle score subgroup. (4) Conclusions: Exposure to perchlorate, nitrate, and thiocyanate mixtures, and ethyl paraben was associated with an elevated psoriasis prevalence. Furthermore, the association between cadmium and lead and mercury mixtures as well as perchlorate, nitrate and thiocyanate mixtures, and psoriasis prevalence was more pronounced in individuals with less healthy lifestyles.

Adverse childhood experience, adopting a healthy lifestyle in adulthood, and risk of cardiovascular diseases

BackgroundBoth adverse childhood experiences (ACEs) and lifestyle factors have been associated with risk of cardiovascular diseases (CVDs) in later life, but whether and to what extent adherence to a healthy lifestyle in adulthood can offset the increased cardiovascular risk associated with ACEs is unclear. We aimed to determine whether and to what extent adopting to a healthy lifestyle in adulthood can offset the risk of CVDs in individuals according to their ACEs. MethodsA prospective cohort study included 143,869 participants aged 38–72 years, free of CVDs at baseline from the UK Biobank. The history of ACEs was assessed using the Childhood Trauma Screener. Participants were divided into three risk groups based on ACEs: low (no ACEs), intermediate (one or two ACEs), and high (three or more ACEs). A healthy lifestyle score in adulthood was constructed as the sum of four modifiable lifestyle factors (no smoking, adequate physical activity, healthy diet, no obesity), and participants were then categorized into three groups based on this score (unfavorable [0–1 point], intermediate [2–3 points], favorable [4 points]). Cox proportional hazard models were conducted to investigate the association between ACEs, healthy lifestyle, and incident CVDs. ResultsDuring a median follow-up of 12.49 years, 13,373 incident cases of overall CVDs were identified. This included 7521 cases of coronary heart disease (CHD), 6175 cases of atrial fibrillation (AF) and 1813 cases of stroke. Individuals with high ACEs had a greater risk of incident overall CVDs (hazard ratio [HR] = 1.39, [95%CI = 1.29 to 1.50]), CHD (1.50 [1.36 to 1.65]) and AF (1.18 [1.05 to 1.33]) compared to those with low ACEs. The risk of CVDs decreased moving from unfavorable to favorable lifestyle categories (P for trend<0.001), with the lowest risk observed among individuals with a favorable lifestyle (0.70 [0.66 to 0.74] for overall CVDs, 0.69 [0.64 to 0.75] for CHD, and 0.71 [0.65 to 0.78] for AF). Participants with high ACEs and a favorable lifestyle had a 39 %, 40 % and 47 % lower risk of developing overall CVDs (0.61 [0.48 to 0.76]), CHD (0.60 [0.44 to 0.81], and AF (0.53 [0.36 to 0.77]) than those with high ACEs and an unfavorable lifestyle. ConclusionsHaving a healthy lifestyle in adulthood could substantially attenuate the increased risk of overall CVDs, CHD, and AF conferred by ACEs.

Effect of health lifestyle on the risk of stroke: A prospective cohort study from Chongqing, China

ObjectiveTo prospectively investigate the associations of healthy lifestyle factors on the risk of stroke and stroke subtypes, as studies exploring this relationship are limited in China. MethodsThe 22,661 participants in the prospective cohort study in Chongqing, China, aged 30–79 years and stroke-free at baseline completed follow-up from 2018 to 2022. We included seven healthy lifestyle factors, including non-smoking, non-excessive drinking, sufficient physical activity, healthy diet, sleep duration of 7–9 h/d, and standard range of body mass index and waist-to-hip ratio. The healthy lifestyle score was calculated based on the number of healthy lifestyle factors. ResultsCompared with participants who had scores ≤2, participants with scores ≥6 had an HRs (95 % CIs) of 0.56 (0.34, 0.92) for total stroke and 0.53 (0.30, 0.93) for ischemic stroke. For every 1-point increase in healthy lifestyle scores, the HRs (95 % CIs) for total stroke and ischemic stroke was 0.86 (0.78, 0.95) and 0.86 (0.77, 0.96), respectively. ConclusionsMaintaining multiple healthy lifestyle factors can significantly reduce the risk of stroke. As the number of healthy lifestyle factors increased, the stroke risk gradually decreased. Our findings emphasize the significance of comprehensive lifestyle interventions.

Does Serum Uric Acid Mediate Relation between Healthy Lifestyle and Components of Metabolic Syndrome?

A healthy lifestyle is related to metabolic syndrome (MetS), but the mechanism is not fully understood. This study aimed to examine the association of components of MetS with lifestyle in a Chinese population and potential mediation role of serum uric acid (SUA) in the association between lifestyle behaviors and risk of components of MetS. Data were derived from a baseline survey of the Shaanxi urban cohort in the Regional Ethnic Cohort Study in northwest China. The relationship between components of MetS, healthy lifestyle score (HLS), and SUA was investigated by logistic or linear regression. A counterfactual-based mediation analysis was performed to ascertain whether and to what extent SUA mediated the total effect of HLS on components of MetS. Compared to those with 1 or less low-risk lifestyle factors, participants with 4-5 factors had 43.6% lower risk of impaired glucose tolerance (OR = 0.564; 95%CI: 0.408~0.778), 60.8% reduction in risk of high blood pressure (OR = 0.392; 95%CI: 0.321~0.478), 69.4% reduction in risk of hypertriglyceridemia (OR = 0.306; 95%CI: 0.252~0.372), and 47.3% lower risk of low levels of HDL cholesterol (OR = 0.527; 95%CI: 0.434~0.641). SUA mediated 2.95% (95%CI: 1.81~6.16%) of the total effect of HLS on impaired glucose tolerance, 14.68% (95%CI: 12.04~18.85%) on high blood pressure, 17.29% (95%CI: 15.01~20.5%) on hypertriglyceridemia, and 12.83% (95%CI: 10.22~17.48%) on low levels of HDL cholesterol. Increased HLS tends to reduce risk of components of MetS partly by decreasing the SUA level, which could be an important mechanism by which lifestyle influences MetS.

Healthy lifestyles and better periodontal health: Results from two large population-based surveys.

To ascertain whether healthy lifestyles are associated with periodontal diseases in two large-scale surveys in the US (National Health and Nutrition Examination Survey - NHANES) and the UK Biobank. 9854 US adults and 111 679 UK adults were included in the analyses. A healthy lifestyle score (HLS), ranging between 0 and 5, was calculated based on the reported number of healthy behaviours, including never smoking, no heavy alcohol consumption, top third of leisure-time physical activity, higher dietary quality, and ideal sleep duration. The prevalence of periodontal diseases was the primary outcome in both surveys. In the NHANES, periodontal status was assessed through a full-mouth periodontal examination, while in the UKB, only self-reported periodontal status was available. Multiple regression analyses confirmed that the presence of at least 2-3 healthy behaviours (vs. 0-1) was associated with lower odds of overall and severe periodontitis (ORs 0.5, 0.4-0.6; p < .001 and 0.5, 0.3-0.8; p = .003, respectively) in the NHANES, and of bleeding gums (OR = 0.9, 0.8-1.0; p = .092) and loose teeth (OR = 0.6, 0.5-0.7; p < .001) in UKB. This association increased when considering prevalence of 4-5 healthy behaviours (vs. 0-1) in both the NHANES (periodontitis: OR = 0.3, 0.2-0.4; p < .001; severe periodontitis: OR = 0.1, 0.01-0.2; p < .001) and the UKB (bleeding gums: OR = 0.8, 0.7-0.9; p < .001; loose teeth: OR = 0.5, 0.4-0.6; p < .001). Mediation analyses revealed how these protective associations could be partially mediated (1-14%) by differences in biomarkers of systemic inflammation (white blood cells and neutrophils count as well as C-reactive protein). Adoption of healthy lifestyle behaviours is associated with a lower prevalence of periodontal diseases within two large population-based samples. This relationship exhibits a dose-response pattern, implying that greater adherence to healthy habits leads to a more significant protective effect against the odds of periodontal diseases. Additionally, our findings suggest that this protective effect is, in part, mediated by reductions in systemic inflammation.

Associations of lifestyle characteristics with circulating immune markers in the general population based on NHANES 1999 to 2014

Lifestyles maybe associated with the immune and inflammatory state of human body. We aimed to comprehensively explore the relationship between lifestyles and circulating immune-inflammatory markers in the general population. Data from NHANES 1999–2014 was used. Lifestyle factors included leisure-time physical activity (LTPA), diet quality (Healthy Eating Index-2015, HEI-2015), alcohol consumption, cigarettes smoking, sleep hour and sedentary time. Immune makers included C-reactive protein (CRP), neutrophil–lymphocyte ratio (NLR), systemic immune-inflammation index (SII), platelet–lymphocyte ratio (PLR) and monocyte–lymphocyte ratio (MLR). Generalized linear regression models were used to adjust confounders. Regressions of restricted cubic splines were utilized to evaluate the potentially non-linear relationships between exposures and outcomes. As results, HEI was negatively associated with CRP (P < 0.001), SII (P < 0.001), and NLR (P < 0.001). Cigarettes per day was positively associated with CRP (P < 0.001), SII (P < 0.001), and NLR (P = 0.008). Alcohol consumption was negatively associated with CRP (P < 0.001), but positively associated with PLR (P = 0.012) and MLR (P < 0.001). Physical activity was negatively associated with CRP (P < 0.001), SII (P = 0.005), and NLR (P = 0.002), but positively associated with PLR (P = 0.010). Participants with higher healthy lifestyle score had significantly lower CRP, SII and NLR (all P values < 0.05). Most of the sensitivity analyses found similar results. In conclusion, we found significant associations between lifestyles and immune markers in the general population, which may reflect a systemic inflammatory response to unhealthy lifestyles.

Mediterranean Diet Adherence, Physical Activity, and Advanced Glycation End Products in Complex PTSD: A Comprehensive Examination of Lifestyle and Cardiovascular Risk in War Veterans.

As accumulated evidence suggests that individuals with post-traumatic stress disorder (PTSD) encounter earlier and more frequent occurrences of cardiovascular diseases, the aim of this study was to ascertain the differences in lifestyle and cardiovascular risk between PTSD and complex PTSD patients. We enrolled 137 male war veterans with PTSD (89 had complex PTSD). The diagnosis was established based on 11th revision of International Classification of Diseases (ICD-11), and cardiovascular risk was estimated by the measurement of advanced glycation end products. Adherence to Mediterranean diet (MD) was lower in the complex PTSD group (2.2% vs. 12.5%, p = 0.015). Accordingly, patients with complex PTSD had lower healthy lifestyle scores in comparison to PTSD counterparts (50.6 ± 9.7 vs. 59.6 ± 10.1, p < 0.001), and a positive association was noted between MD adherence and a healthy lifestyle (r = 0.183, p = 0.022). On the other hand, differences were not noted in terms of physical activity (p = 0.424), fat % (p = 0.571) or cardiovascular risk (p = 0.573). Although complex PTSD patients exhibit worse adherence to MD and lower healthy lifestyle scores, these differences do not seem to impact physical activity, body composition, or estimated cardiovascular risk. More research is needed to clarify if this lack of association accurately reflects the state of the PTSD population or results from insufficient statistical power.

Change in Healthy Lifestyle and Subsequent Risk of Cognitive Impairment Among Chinese Older Adults: A National Community-Based Cohort Study.

The association between change in lifestyle and cognitive impairment remains uncertain. To investigate the association of change in lifestyle with cognitive impairment. In this study, 4938 participants aged 65 or older were involved from the Chinese Longitudinal Healthy Longevity Survey for years2008-2018. A weighted healthy lifestyle score was derived from 4 lifestyle factors (smoking, alcohol consumption, physical activity, and diet). Multivariable Cox proportional hazards regression models were applied to investigate the associations between 3-year changes in healthy lifestyle (2008-2011) and cognitive impairment (2011-2018). Researchers documented 833 new-onset of cognitive impairments more than 20097 person-years of follow up. Compared with those in the persistently unhealthy group, those in the improved and persistently healthy groups had a lower risk of cognitive impairment, with the multivariate-adjusted hazard ratios (HRs) of 0.67 (95% confidence interval (CI): 0.55, 0.83) and 0.53 (95% CI: 0.40, 0.71), respectively. Furthermore, a significant interaction was observed between change in lifestyle and sex (p-interaction = .032); the HRs were 0.48 (95% CI, 0.34, 0.69) for the improved group and 0.41 (95% CI: 0.26, 0.64) for persistently healthy group among male vs 0.81 (95% CI, 0.63, 1.04) and 0.64 (95% CI, 0.44, 0.92) among female, respectively. This study suggests that improving or maintaining a healthy lifestyle can significantly mitigate the risk of cognitive impairment in Chinese older adults. Additionally, researcher's findings emphasize the significance of maintaining a healthy lifestyle and highlights the potential positive impact of improving previous unhealthy habits, especially for older women.

Poor healthy lifestyle and life's essential 8 are associated with higher risk of new-onset migraine: a prospective cohort study.

Lifestyle are closely related to migraine. However, there is a lack of studies investigating the association between Healthy lifestyle or Life's Essential 8 (LE8) and the risk of migraine. The objective of this research was to investigate the relationship between Healthy lifestyle scores and Life's essential 8 scores, and migraine. 332,895 UK Biobank participants without migraine were included. Healthy lifestyle were assessed using seven lifestyle factors, and categorized as poor, intermediate, or ideal. LE8, based on the American Heart Association (AHA) Guidelines for Cardiovascular Health (CVH), consist of eight indicators classified as low, moderate, or high CVH. The Cox proportional hazard model was employed to examine the association between Healthy lifestyle scores, LE8 scores, and migraine, with calculations for population-attributable fraction (PAF) and cumulative incidence. During a median follow-up of 13.58 years, participants in intermediate (HR: 0.91; 95% CI: 0.85, 0.99) or ideal category of Healthy lifestyle (HR: 0.81; 95% CI: 0.73, 0.91) significantly reduced migraine risk compared to the poor category. Similarly, high CVH (HR: 0.73; 95% CI: 0.58, 0.92) also lowered migraine risk, while moderate CVH (HR: 0.93; 95% CI: 0.85, 1.02) did not show a difference compared to low CVH. If all individuals adhered to higher categories of Healthy lifestyle and LE8, approximately 11.38% and 22.05% of migraine cases could be prevented. Among individual lifestyle factors, maintaining an ideal body mass index (BMI), physical activity, sleep duration, sleep pattern, and sedentary time were associated with substantial reductions in migraine risk, by 5.65%, 0.81%, 10.16%, 16.39%, and 6.57%, respectively. Our study provides evidence that poor Healthy lifestyle and Life's Essential 8 are associated with higher risk of new-onset migraine.

Impact of healthy lifestyle on the incidence and progression trajectory of mental disorders: A prospective study in the UK Biobank

BackgroundHealthier lifestyle decreased the risk of mental disorders (MDs) such as depression and anxiety. However, research on the effects of a comprehensive healthy lifestyle on their progression is lacking. Methods385,704 individuals without baseline MDs from the UK Biobank cohort were included. A composite healthy lifestyle score was computed by assessing alcohol intake, smoking status, television viewing time, physical activity, sleep duration, fruit and vegetable intake, oily fish intake, red meat intake, and processed meat intake. Follow-up utilized hospital and death register records. Multistate model was used to examine the role of healthy lifestyle on the progression of specific MDs, while a piecewise Cox regression model was utilized to assess the influence of healthy lifestyle across various phases of disease progression. ResultsHigher lifestyle score reduced risks of transitions from baseline to anxiety and depression, as well as from anxiety and depression to comorbidity, with corresponding hazard ratios (HR) and 95 % confidence intervals (CI) of 0.94 (0.93, 0.95), 0.90 (0.89, 0.91), 0.94 (0.91, 0.98), and 0.95 (0.92, 0.98), respectively. Healthier lifestyle decreased the risk of transitioning from anxiety to comorbidity within 2 years post-diagnosis, with HR 0.93 (0.88, 0.98). Higher lifestyle scores at 2–4 years and 4–6 years post-depression onset were associated with reduced risk of comorbidity, with HR 0.93 (0.87, 0.99) and 0.92 (0.86, 0.99), respectively. LimitationThe generalizability to other ethnic groups is limited. ConclusionThis study observed a protective role of holistic healthy lifestyle in the trajectory of MDs and contributed to identifying critical progression windows.

Association of healthy lifestyle factors with the risk of hypertension, dyslipidemia, and their comorbidity in Korea: results from the Korea National Health and Nutrition Examination Survey 2019-2021.

We investigated the association of individual healthy lifestyle factors (HLFs) and their combined healthy lifestyle score (HLS) with hypertension and/or dyslipidemia. We analyzed data from 10,693 adults aged ≥19 from the 2019 to 2021 Korea National Health and Nutrition Examination Survey. HLS was evaluated based on smoking status, alcohol consumption, body mass index (BMI), diet, and physical activity. Using logistic regression models, we estimated odds ratios (ORs) with 95% confidence intervals (CIs) to evaluate the associations of HLFs and HLS with hypertension, dyslipidemia, and their comorbidity. The prevalence of hypertension alone, dyslipidemia alone, and their comorbidity was 8.7%, 24.6%, and 15.0%, respectively. Multivariable models showed an inverse association of hypertension (OR, 0.37; 95% CI, 0.30 to 0.46) and dyslipidemia (OR, 0.36; 95% CI, 0.32 to 0.41) with healthy BMI. Hypertension was inversely associated with healthy alcohol consumption (OR, 0.46; 95% CI, 0.35 to 0.61) and diet (OR, 0.79; 95% CI, 0.63 to 0.99), whereas dyslipidemia was inversely associated with non-smoking (OR, 0.51; 95% CI, 0.43 to 0.60). Physical activity was inversely associated with their comorbidity (OR, 0.69; 95% CI, 0.56 to 0.85). Adherence to HLS was associated with significantly lower odds of hypertension (81%), dyslipidemia (66%), and their conditions (89%) (all ptrend<0.001). Stratified analyses consistently showed inverse associations between HLS and hypertension and/or dyslipidemia independently of demographic factors (pinteractions>0.05). HLFs were associated with lower risk for hypertension and/or dyslipidemia. Obesity may contribute significantly to the risk of these conditions, while relevant HLFs for individual chronic diseases may vary significantly.

Abstract 3035: Associations Of Genetic And Lifestyle Risk Factors With Incident Peripheral Artery Disease: A Prospective Cohort Study

Background: The joint associations between genetic and lifestyle factors, and peripheral artery disease (PAD) remain unclear, yet understanding the connections is crucial for precise PAD prevention. Methods: Genetic susceptibility to PAD was estimated by a polygenic risk score of 50 genetic variants selected by P &lt; 5х10 -8 and r 2 &lt;0.01 from a GWAS including 31,307 cases. Tertiles categorized genetic risk into low, intermediate, and high. A healthy lifestyle score was constructed based on 4 lifestyle factors (never smoking, non-excessive alcohol consumption, high cardiometabolic healthy diet adherence, and regular physical activity) and categorized into favorable (3-4 healthy factors), intermediate (2 healthy factors), and unfavorable (0-1 healthy factors) groups. Cox regression estimated hazard ratios (HR) and 95% confidence interval (CI) with adjustment for age (time scale), sex, BMI, education, baseline cardiovascular risk factors, 20 principal components. Results: Over 11.9 years, 4299 incident PAD cases were diagnosed in 379,228 UK Biobank participants free of baseline PAD. Genetic risk and unhealthy lifestyle categories were monotonically associated with PAD. Compared with low genetic risk, the HR was 1.69 (95% CI 1.56-1.89) for high genetic risk. Compared with favorable lifestyle, the HR for unfavorable lifestyle was 2.70 (95% CI 2.50-2.94). There was no multiplicative interaction between genetic and lifestyle factors ( P = 0.461). The association between unfavorable lifestyle and higher PAD risk was consistent in genetic risk groups. Joint categorization analysis detected an HR for high genetic risk and favorable lifestyle was (1.85, 95% CI 1.54-2.22) reducing by &gt; 50%, compared with high genetic risk and unfavorable lifestyle (HR 4.76, 95% CI 4.00-5.56). Conclusions: Genetic and lifestyle factors independently associated with incident PAD. Adhering to a favorable lifestyle substantially reduced PAD risk, even in individuals at high genetic risk.

Women's reproductive risk score and healthy lifestyle modification in cardiovascular disease: Findings from the UK Biobank

Background and aimsReproductive risk factors are associated with increased risk of cardiovascular disease (CVD) in women. However, the combined effects of the composite reproductive risk factors on CVD are unknown. This study was performed to construct a reproductive risk score (RRS) to measure reproductive status, examine the association between RRS and CVD, and explore the modification effect of healthy lifestyle on the association in women in the UK Biobank cohort. MethodsThe RRS was constructed in 74,141 female participants with data about the items derived for the RRS in the UK Biobank. The RRS was derived from 17 baseline variables, all of which indicated women's reproductive health status. We defined four categories of RRS status: low-risk group (score 0–1); low-intermediate group (score 2–3); high-intermediate group (score 4–5); and high-risk group (score 6–13). We also constructed a healthy lifestyle score (HLS) with five related factors, and categorized into unhealthy lifestyle group (score: 0–1), intermediate lifestyle group (score: 2–3) and healthy lifestyle group (score: 4–5). ResultsEach point increase in the RRS was associated with a 22 % higher risk of CVD (adjusted hazard ratio (aHR): 1.22; 95 % confidence interval (CI): 1.16 to 1.28), 23 % higher risk of IHD (1.23; 1.17 to 1.31) and 19 % higher risk of stroke (1.19; 1.07 to 1.32). The percentage population-attribution risks (PAR%) were 16 % (95 % CI: 8 to 24) for CVD, 15 % (95 % CI: 6 to 24) for IHD and 18 % (95 % CI: 1 to 33) for stroke. A healthy lifestyle significantly attenuated RRS associations with the incidence of CVD and IHD. The attributable proportions due to additive interaction (p < 0.001) between RRS and HLS were 0.14 (95 % CI: 0.07 to 0.22) for CVD and 0.15 (95 % CI: 0.09 to 0.23) for IHD, respectively. ConclusionsHigh RRS was associated with increased risks of CVD, IHD and stroke in female participants in the UK Biobank. The early-stage identification of women with reproductive risk using synthesised indicators and appropriate healthy lifestyle interventions could be useful for the prevention of early CVD and the extension of healthy active life expectancy.

Adherence to a healthy lifestyle including sleep and sedentary behaviors and risk of metabolic dysfunction-associated steatotic liver disease in Chinese adults

ObjectiveVarious lifestyle factors including smoking, alcohol, physical activity, sedentary behavior, diet quality, sleep behavior, and overweight have been related to metabolic dysfunction-associated steatotic liver disease (MASLD); however, their joint impact on risk of MASLD is not well known. We prospectively investigated the association between a combination of lifestyle factors and risk of MASLD. MethodsThis prospective cohort study included 13,303 participants (mean age: 39.1 ± 11.3 years, female: 60.1%) in China. A novel healthy lifestyle score was created combining seven healthy factors: not smoking, no alcohol intake, regular physical activity, short sedentary time, healthy diet, healthy sleep, and healthy weight. Incident MASLD cases were ascertained annually by liver ultrasound and cardiometabolic risk factors. Multivariable Cox proportional hazards regression models were used to estimate the association of healthy lifestyle score with risk of MASLD. ResultsWithin 48,036 person-years of follow-up, 2823 participants developed MASLD. After adjusting for age, sex, education, occupation, household income, personal and family history of disease, and total energy intake, compared with participants with 0–2 healthy lifestyle factors, the multivariable hazard ratios (95% confidence interval) of MASLD were 0.81 (0.73, 0.89), 0.67 (0.61, 0.75), and 0.55 (0.49, 0.62) for healthy lifestyle score of 3, 4, and 5–7, respectively (P for trend <0.0001). Such associations were consistent across subgroup and sensitivity analyses. ConclusionOur results indicate that a higher healthy lifestyle score is associated with a lower risk of MASLD.

Genetic risk of type 2 diabetes modifies the association between lifestyle and glycemic health at 5 years postpartum among high-risk women

IntroductionLifestyle interventions are effective in preventing type 2 diabetes, but genetic background may influence the individual response. In the Finnish gestational diabetes prevention study, RADIEL, lifestyle intervention during pregnancy and...

Genetic predisposition, modifiable lifestyles, and their joint effects on human lifespan: evidence from multiple cohort studies

ObjectiveTo investigate the associations across genetic and lifestyle factors with lifespan.DesignA longitudinal cohort study.SettingUK Biobank.Participants353 742 adults of European ancestry, who were recruited from 2006 to 2010 and were followed...

Genetic Subtypes of Prediabetes, Healthy Lifestyle, and Risk of Type 2 Diabetes.

Prediabetes is a heterogenous metabolic state with various risk for development of type 2 diabetes (T2D). In this study, we used genetic data on 7,227 US Hispanic/Latinos without diabetes from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) and 400,149 non-Hispanic whites without diabetes from the UK Biobank (UKBB) to calculate five partitioned polygenetic risk scores (pPRSs) representing various pathways related to T2D. Consensus clustering was performed in participants with prediabetes in HCHS/SOL (n=3,677) and UKBB (n=16,284) separately, based on these pPRSs. Six clusters of individuals with prediabetes with distinctive patterns of pPRSs and corresponding metabolic traits were identified in the HCHS/SOL, five of which were confirmed in the UKBB. Although baseline glycemic traits were similar across clusters, individuals in Cluster 5 and Cluster 6 showed elevated risk of T2D during follow-up compared to Cluster 1 (RR=1.29 [95% CI 1.08-1.53] and1.34 [1.13-1.60], respectively). Inverse associations between a healthy lifestyle score and risk of T2D were observed across different clusters, with a suggestively stronger association observed in Cluster 5 compared to Cluster 1. Among individuals with healthy lifestyle, those in Cluster 5 had a similar risk of T2D compared to those in Cluster 1 (RR=1.03 [0.91-1.18]). This study identified genetic subtypes of prediabetes which differed in risk of progression to T2D and in benefits from healthy lifestyle.

Association of healthy lifestyle score with control of hypertension among treated and untreated hypertensive patients: a large cross-sectional study.

Hypertension stands as the leading single contributor to the worldwide burden of mortality and disability. Limited evidence exists regarding the association between the combined healthy lifestyle score (HLS) and hypertension control in both treated and untreated hypertensive individuals. Therefore, we aimed to investigate the association between HLS and hypertension control among adults with treated and untreated hypertension. This cross-sectional study, including 311,994 hypertension patients, was conducted in Guangzhou using data from the National Basic Public Health Services Projects in China. The HLS was defined based on five low-risk lifestyle factors: healthy dietary habits, active physical activity, normal body mass index, never smoking, and no alcohol consumption. Controlled blood pressure was defined as systolic blood pressure <140 mmHg and diastolic blood pressure <90 mmHg. A multivariable logistic regression model was used to assess the association between HLS and hypertension control after adjusting for various confounders. The HLS demonstrated an inverse association with hypertension control among hypertensive patients. In comparison to the low HLS group (scored 0-2), the adjusted odds ratios (95% confidence intervals) for hypertension were 0.76 (0.74, 0.78), 0.59 (0.57, 0.60), and 0.48 (0.46, 0.49) for the HLS groups scoring 3, 4, and 5, respectively (Ptrend < 0.001). Notably, an interaction was observed between HLS and antihypertensive medication in relation to hypertension control (Pinteraction < 0.001). When comparing the highest HLS (scored 5) with the lowest HLS (scored 0-2), adjusted odds ratios (95% confidence intervals) were 0.50 (0.48, 0.52, Ptrend < 0.001) among individuals who self-reported using antihypertensive medication and 0.41 (0.38, 0.44, Ptrend < 0.001) among those not using such medication. Hypertensive patients adhering to a healthy lifestyle without medication exhibited better blood pressure management than those using medication while following a healthy lifestyle. HLS was associated with a reduced risk of uncontrolled blood pressure.