Association of combined healthy lifestyle with risk of adverse outcomes in patients with prediabetes.

OBJECTIVE: Prediabetes and lifestyle factors have been associated with the risks of multiple adverse outcomes, but the effect of a healthy lifestyle on prediabetes-related complications remains unknown. We aimed to investigate whether the risks of multiple adverse outcomes including incident type 2 diabetes mellitus (T2DM), cardiovascular disease (CVD), and chronic kidney disease (CKD) among individuals with prediabetes can be offset by a broad combination of healthy lifestyle factors. METHODS: This prospective study used data from the UK Biobank cohort. An overall lifestyle score ranging from 0 to 6 was created with 1 point for each of the 6 healthy lifestyle factors: no current smoking, moderate alcohol consumption, regular physical activity, healthy diet, no overweight or obese, and adequate sleep duration. T2DM, CVD, and CKD were ascertained during a median follow-up of 14 years. Cox proportional hazard regression models were used to estimate the associations. Sensitivity analyses were performed to test the robustness of the results. RESULTS: We included 202,993 participants without T2DM, CVD, and CKD at baseline (mean age 55.5 years [SD 8.1]; 54.7% were women). Among these participants, 6,745, 16,961, and 6,260 participants eventually developed T2DM, CVD, and CKD, respectively. Compared with the participants with normoglycaemia, those with prediabetes showed a higher risk of these adverse outcomes. In addition, those prediabetic participants with a lifestyle score of 0-1 had a significantly higher risk of T2DM (hazard ratio [HR] 16.73, 95% CI 14.24, 19.65), CVD (HR 1.96, 95% CI 1.74, 2.21), and CKD (HR 1.92, 95% CI 1.58, 2.34) compared with those with no prediabetes and a score of 5-6. Moreover, among the participants with prediabetes, the HRs for T2DM, CVD, and CKD comparing a lifestyle score of 5-6 versus 0-1 decreased to 0.43 (95% CI 0.36, 0.51), 0.52 (95% CI 0.44, 0.62), and 0.60 (95% CI 0.46, 0.79), respectively. CONCLUSIONS: Combined healthy lifestyle factors were associated with a significantly lower risk of multiple adverse outcomes, including T2DM, CVD, and CKD. This indicates that prioritising multifactorial approaches to behavioural lifestyle modification is crucial for preventing and postponing the development of complications related to prediabetes.

The association between healthy lifestyle score and risk of metabolic syndrome in Iranian adults: a cross-sectional study.

BACKGROUND: Lifestyle risk factors, such as obesity, physical inactivity, smoking, and having an unhealthy diet are significantly associated to the risk of developing metabolic diseases such as type 2 diabetes, insulin resistance, and metabolic syndrome (MetS). Consequently, it is important to examine multiple lifestyle risk factors instead of single ones. Moreover, the combined effects of these factors on risk of MetS are not fully investigated. This study investigated the relationship between HLS and MetS and its components among apparently healthy adults living in Tabriz-Iran. METHODS: This cross-sectional study includes 347 apparently healthy adults aged 20-50. To assess healthy lifestyle, four habits were used to examine HLS: physical activity (PA), smoking, healthy eating index-2015 (HEI-2015), and body mass index (BMI). Smoking status, PA, and dietary intakes (147-item) of study participants were evaluated using valid questionnaires. The lifestyle score ranged from zero (non-healthy) to four (most healthy) points. Binary logistic regression with adjusted models was used to examine the association of HLS and MetS, and its components. P < 0.05 was considered statistically significant. RESULTS: In the current study, the average age and BMI of study participants were 40.78 ± 9.23 years old and 29.23 ± 5.97 kg/m2, respectively. Participants in the highest quartile of HLS had significantly lower waist circumference (WC), BMI, weight, and had less fasting blood sugar (FBS), and triglyceride (TG) compared to the lowest quartile of HLS. Individuals in the second quartile of HLS had 24% greater odds for having MetS compared with those in the first quartile (adjusted OR: 1.24; 95% CI: 1.05-2.66). A significant reduction in hyperglycemia (adjusted OR: 0.85, 95% CI: 0.55-0.96) and high TG (adjusted OR: 0.83; 95% CI: 0.55-0.93) risk was also observed in the highest category of HLS compared to the lowest category. Moreover, after taking potential confounders into account, low score of HLS was associated with increased odds of MetS in women (adjusted OR: 1.32; 95% CI: 1.03-2.91). CONCLUSION: The results showed that the lowest adherence to HLS was associated with higher odds MetS in women, after adjusting for all covariates. Moreover, adherence to a healthy lifestyle was related to lower odds of hyperglycemia and high TG in Iranian adults. To confirm these results, prospective studies are required.

Associations between healthy lifestyle score and health-related quality of life among Chinese rural adults: variations in age, sex, education level, and income.

PURPOSE: This study aimed to investigate the associations between overall lifestyles and HRQoL, as well as the variations in age, sex, education level, and income. METHODS: A total of 23,402 participants from the Henan rural cohort were included. The healthy lifestyle score (HLS) consists of five lifestyle factors: smoking, alcohol drinking, physical activity, diet, and body mass index. HRQoL was assessed by the EQ-5D-5L questionnaire. The general linear model and Tobit regression model were utilized to assess the associations of HLS with visual analogue score (VAS) and utility index. RESULTS: Compared with participants with an HLS of 0-2, the corresponding regression coefficients (ß) and 95% confidence intervals (CI) of participants with an HLS of 3, 4, and 5 for VAS score were 1.09 (0.59, 1.59), 1.92 (1.38, 2.46), and 2.60 (1.83, 3.37); the corresponding ß and 95% CI for utility index were 0.02 (0.01, 0.03), 0.05 (0.03, 0.06), and 0.06 (0.04, 0.07). Notably, these positive associations were greater among the elderly, female, and those with lower education level and average monthly income (p for interaction < 0.05). For instance, the corresponding ß and 95% CI of individuals with an HLS of 5 for utility index in average monthly income < 500 RMB, 500-999 RMB, and ≥ 1000 RMB groups were 0.08 (0.05, 0.11), 0.06 (0.03, 0.09), and 0.02 (- 0.00, 0.05). CONCLUSION: Engaging in healthier lifestyle habits was associated with a higher level of HRQoL, especially in the elderly, females, and those with low education level and average monthly income.

The association of healthy lifestyle score and risk of non-alcoholic fatty liver disease.

BACKGROUND: The combined role of important environmental factors as a single lifestyle index in predicting non-alcoholic fatty liver disease (NAFLD) risk is not fully assessed. Therefore, we aimed to investigate the association of healthy lifestyle factor score (HLS) with the odds of NAFLD in Iranian adults. METHODS: This case-control study was conducted on 675 participants, aged ≥ 20-60 years, including 225 new NAFLD cases and 450 controls. We measured dietary intake information using a validated food frequency questionnaire and determined diet quality based on the alternate healthy eating index-2010(AHEI-2010). The score of HLS was calculated based on four lifestyle factors, including a healthy diet, normal body weight, non-smoking, and high physical activity. An ultrasound scan of the liver was used to detect NAFLD in participants of the case group. Logistic regression models were used to determine the odds ratios(ORs) and 95% confidence interval(CI) of NAFLD across tertiles of HLS and AHEI. RESULTS: Mean ± SD age of the participants were 38.13 ± 8.85 years. The Mean ± SD HLS in the case and control groups was 1.55 ± 0.67 and 2.53 ± 0.87, respectively. Also, the Mean ± SD AHEI in the case and control groups was 48.8 ± 7.7 and 54.1 ± 8.1, respectively. Based on the age and sex-adjusted model, the odds of NAFLD were decreased across tertiles of AHEI (OR:0.18;95%CI:0.16-0.29,Ptrend<0.001) and HLS(OR:0.03;95%CI:0.01-0.05,Ptrend<0.001). Also, in the multivariable model, the odds of NAFLD were decreased across tertiles AHEI (OR:0.12;95%CI:0.06-0.24,Ptrend<0.001) and HLS(OR:0.02;95%CI:0.01-0.04,Ptrend<0.001). CONCLUSIONS: Our findings reported that higher adherence to lifestyle with a higher score of HLS was associated with decreased odds of NAFLD. Also, a diet with a high AHEI score can reduce the risk of NAFLD in the adult population.

The association between maternal healthy lifestyle factors during pregnancy and the neonatal anthropometric indicators based on a prospective cohort study.

BACKGROUND AND OBJECTIVES: We aimed to evaluate the associations between a combined healthy lifestyle during the second and third trimesters and offspring anthropometric outcomes in China. METHODS AND STUDY DESIGN: We examined these associations among 548 participants from nine community health centers and three hospitals in the North China cohort. A pregnant women's healthy lifestyle score (HLS) was constructed based on six lifestyle factors: smoking, alcohol consumption, physical activity, sedentary behavior, diet, and gestational weight gain. Anthropometric indicators at birth like birth weight (BW), head circumference (HC), and birth length (BL) were collected, and weight to head circumference ratio (WHC, kg/m), body mass index (BMI, kg/m2) and Ponderal Index (PI, kg/m3) were calculated. Multivariate linear and logistic regression models were used to examine the effects of HLS during the second and third trimesters on anthropometric outcomes at birth, respectively. RESULTS: In fully adjusted models, we found a negative association between second and third-trimester HLS and offspring HC and a positive relationship between second-trimester HLS and BL (p<0.05). Neonates with mothers in the highest HLS tertile had a 5.6% relatively lower HC and 2.3% relatively longer body length than women in the lowest tertile. Each additional unit in third-trimester HLS had an associated decrease in HC by 0.96 cm. None of the associations between HLS and BW, WHC, BMI, and PI of offspring were observed. CONCLUSIONS: A healthy lifestyle score may significantly impact offspring head circumference and body length, supporting the important role of healthy lifestyles in improving the health of offspring.

The higher adherence to a healthy lifestyle score is associated with a decreased risk of type 2 diabetes in Iranian adults.

BACKGROUND: The combined roles of lifestyle factors in the risk of type 2 diabetes (T2D) are not fully investigated. In the present study, we aimed to assess the relationship between a healthy lifestyle score (HLS) and the risk of T2D in Tehranian adults. METHODS: A total of 3859 individuals without T2D were recruited from participants of the Tehran Lipid and Glucose Study (2009-2011) who were followed up for a mean period of 6 years. A food frequency questionnaire was used to collect individuals' dietary intakes at baseline. HLS scores was calculated based on three pre-defined methods with focusing on 4 lifestyle factors including, no current smoking, no obesity, high physical activity, and greater adherence to the healthy diet[determined using the alternate healthy eating index-2010(AHEI-2010), modified French Programme National Nutrition Santé-Guideline Score(mPNNS-GS), and healthy diet pattern score(HDP)]. RESULTS: Mean ± SD age of participants(44.4% men) was 41.1 ± 12.3 years. After 6-year follow-up of study, 295(7.6%) new cases of T2D were reported. Based on the age and sex-adjusted model, an inverse association was observed between the higher score of HLS-AHEI-2010 (OR = 0.24;95%CI:0.10-0.60), HLS-mPNNS-GS (OR = 0.28;95%CI:0.15-0.50), and HLS-HDP (OR = 0.39;95%CI:0.24-0.64) and the risk of T2D (P for trend < 0.05). Also, the fully-adjusted model showed that after controlling the effects of various confounders, this invers association between the higher score of HLS-AHEI-2010 (OR = 0.25;95%CI:0.10-0.61, P for trend:0.001), HLS-mPNNS-GS (OR = 0.29;95%CI:0.15-0.55,P for trend:0.001), and HLS-HDP (OR = 0.36;95%CI:0.22-0.61,P for trend < 0.001) and risk of T2D was remained significant. CONCLUSION: The results of this study suggested that higher score of HLS, characterized by no smoking, normal body weight, vigorous physical activity, and healthy diet, is related to decreased risk of T2D incidence.

Association of healthy lifestyle with risk of obstructive sleep apnea: a cross-sectional study.

BACKGROUND: No studies investigated the whole effect of modifiable lifestyle factors on OSA risk. This study aimed to examine the individual and combined effects of lifestyle factors on OSA risk among Chinese adults. METHODS: This cross-sectional study included 9733 participants aged 35 to 74 years from the baseline survey of Guangzhou Heart Study. OSA was evaluated by Berlin Questionnaire. The healthy lifestyle score (HLS), representing the overall effect of lifestyles, was derived from seven lifestyle factors: active smoking, passive smoking, alcohol, diet, waist-hip ratio, leisure-time physical activity, and mental status. Odds ratio (OR) with 95% confidence interval (CI) was calculated using the multivariate logistic regression model. RESULTS: 8107 participants were divided into the non-OSA group and 1626 participants into the OSA group. No passive smoking (OR 0.83, 95% CI 0.74-0.94), healthy waist-hip ratio (OR 0.67, 95% CI 0.58-0.77) and healthy mental status (OR 0.45, 95% CI 0. 29-0.73) were associated with a reduced risk of OSA after adjusting for confounders, while others not. Participants with higher HLS were negatively associated with OSA risk (P-trend < 0.001). In comparison to the participants with 0-3 HLS, the OR for participants with 4, 5, 6, and 7 HLS was 0.68 (95% CI 0.56-0.84), 0.71 (95% CI 0.59-0.86), 0.62 (95% CI 0.51-0.76) and 0.49 (95% CI 0.37-0.65) after adjusting for confounders. Every 1-score increment of HLS was associated with a 13% lower risk of OSA. CONCLUSIONS: The results suggest that HLS reflecting the combined effect of multiple-dimensional lifestyle factors was inversely associated with OSA risk. Preventive strategies integrating multiple lifestyle factors may provide a more feasible approach for OSA prevention.

Combined Healthy Lifestyle Is Inversely Associated with Upper Gastrointestinal Disorders among Iranian Adults.

OBJECTIVE: Although lifestyle-related factors have separately been examined in relation to functional gastrointestinal disorders (FGIDs), there is no epidemiological data on the combined association of lifestyle factors with these conditions. We aimed to examine how combinations of several lifestyle factors were associated with functional dyspepsia (FD), its symptoms, and gastroesophageal reflux disease (GERD) in a large group of Iranian adults. DESIGN, SETTING, AND SUBJECTS: In a cross-sectional study on 3,363 Iranian adults, we calculated the "healthy lifestyle score" for each participant by summing up the binary score given for 5 lifestyle factors, including dietary habits, dietary intakes, psychological distress, smoking, and physical activity. A dish-based 106-item semi-quantitative validated food frequency questionnaire, General Practice Physical Activity Questionnaire, General Health Questionnaire, and other pre-tested questionnaires were used to assess the components of healthy lifestyle score. To assess FGIDs, a validated Persian version of ROME III questionnaire was used. RESULTS: After adjustment for potential confounders, we found that individuals with the highest score of healthy lifestyle had 79 and 74% lower odds of FD (OR: 0.21; 95% CI: 0.05-0.92) and GERD (OR: 0.26; 95% CI: 0.09-0.69), respectively, compared with those with the lowest score. They were also less likely to have early satiation (OR: 0.28; 95% CI: 0.11-0.73), postprandial fullness (OR: 0.22; 95% CI: 0.09-0.50), and epigastric pain (OR: 0.44; 95% CI: 0.21-0.92). In addition to the combined healthy lifestyle score, low levels of psychological distress, a healthy diet, healthy dietary habits, and nonsmoking were separately and protectively associated with FGIDs. CONCLUSION: We found that adherence to a healthy lifestyle was associated with lower odds of GERD, FD, and its symptoms in this group of Iranian adults, in a dose-response manner. Individual lifestyle-related factors were also associated with these conditions.

Higher Healthy Lifestyle Score is associated with lower presence of non-alcoholic fatty liver disease in middle-aged and older Chinese adults: a community-based cross-sectional study.

OBJECTIVE: Previous studies have reported inverse associations between certain healthy lifestyle factors and non-alcoholic fatty liver disease (NAFLD), but limited evidence showed the synergistic effect of those lifestyles. This study examined the relationship of a combination of lifestyles, expressed as Healthy Lifestyle Score (HLS), with NAFLD. DESIGN: A community-based cross-sectional study. Questionnaires and body assessments were used to collect data on the six-item HLS (ranging from 0 to 6, where higher scores indicate better health). The HLS consists of non-smoking (no active or passive smoking), normal BMI (18·5-23·9 kg/m2), physical activity (moderate or vigorous physical activity ≥ 150 min/week), healthy diet pattern, good sleep (no insomnia or <6 months) and no anxiety (Self-rating Anxiety Scale < 50), one point each. NAFLD was diagnosed by ultrasonography. SETTING: Guangzhou, China. PARTICIPANTS: Two thousand nine hundred and eighty-one participants aged 40-75 years. RESULTS: The overall prevalence of NAFLD was 50·8 %. After adjusting for potential covariates, HLS was associated with lower presence of NAFLD. The OR of NAFLD for subjects with higher HLS (3, 4, 5-6 v. 0-1 points) were 0·68 (95 % CI 0·51, 0·91), 0·58 (95 % CI 0·43, 0·78) and 0·35 (95 % CI 0·25, 0·51), respectively (P-values < 0·05). Among the six items, BMI and physical activity were the strongest contributors. Sensitivity analyses showed that the association was more significant after weighting the HLS. The beneficial association remained after excluding any one of the six components or replacing BMI with waist circumference. CONCLUSIONS: Higher HLS was associated with lower presence of NAFLD, suggesting that a healthy lifestyle pattern might be beneficial to liver health.

The role of lifestyle behaviour on the risk of hypertension in the SUN cohort: The hypertension preventive score.

Lifestyles may influence the risk of hypertension. Our objective was to assess the association between a healthy-lifestyle score and the incidence of hypertension. The SUN Project is a dynamic, prospective cohort of Spanish university graduates (1999-2014). Among 14,057 participants initially free of hypertension, we assessed the influence of lifestyle-related factors based on a 10-item score that we previously reported to be associated with lower risk of major cardiovascular events. However, we focused on factors related to hypertension risk according to previous scientific evidence and international clinical guidelines and constructed a 6-item score including: no smoking, moderate-to-high physical activity, Mediterranean diet adherence, healthy body mass index, moderate alcohol intake and no binge drinking. We fitted Cox regression models to adjust for potential confounders. During a median follow-up of 10.2 years, we identified 1406 incident cases of medically diagnosed hypertension. The risk of developing hypertension was linearly reduced as participants better adhered to a healthy lifestyle pattern built by summing up these 6 factors (p for trend<0.001). The highest category (5-6 factors) exhibited a significant 46% relative reduction in the risk of developing hypertension compared to the lowest category (0-1 factors) (multivariable-adjusted hazard ratio = 0.54; 95% CI: 0.42-0.68). Among the components of the score, BMI was apparently the main factor driving the association between the HLS and lower risk of hypertension. A healthy-lifestyle score including six simple healthy habits was longitudinally and linearly associated with a substantially reduced risk of hypertension. This index may be a useful tool for hypertension prevention.

Healthy lifestyle index and risk of gastric adenocarcinoma in the EPIC cohort study.

Several modifiable lifestyle factors, including smoking, alcohol, certain dietary factors and weight are independently associated with gastric cancer (GC); however, their combined impact on GC risk is unknown. We constructed a healthy lifestyle index to investigate the joint influence of these behaviors on GC risk within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. The analysis included 461,550 participants (662 first incident GC cases) with a mean follow-up of 11.4 years. A healthy lifestyle index was constructed, assigning 1 point for each healthy behavior related to smoking status, alcohol consumption and diet quality (represented by the Mediterranean diet) for assessing overall GC and also body mass index for cardia GC and 0 points otherwise. Risk of GC was calculated using Cox proportional hazards regression models while adjusting for relevant confounders. The highest versus lowest score in the healthy lifestyle index was associated with a significant lower risk of GC, by 51% overall (HR 0.49 95% CI 0.35, 0.70), by 77% for cardia GC (HR 0.23 95% CI 0.08, 0.68) and by 47% for noncardia GC (HR 0.53 (95% CI 0.32, 0.87), p-trends<0.001. Population attributable risk calculations showed that 18.8% of all GC and 62.4% of cardia GC cases could have been prevented if participants in this population had followed the healthy lifestyle behaviors of this index. Adopting several healthy lifestyle behaviors including not smoking, limiting alcohol consumption, eating a healthy diet and maintaining a normal weight is associated with a large decreased risk of GC.

Associations between a paternal healthy lifestyle score and its individual components with childhood overweight and obesity.

BACKGROUND: Maternal healthy lifestyle behaviors during pregnancy have been associated with reduced risk of offspring overweight and obesity (OWOB). However, there has been little investigation, in the context of the Paternal Origins of Health and Disease (POHaD) paradigm, of the potential influence of the paternal lifestyle on offspring OWOB. OBJECTIVES: To describe paternal healthy lifestyle factors around pregnancy and investigate their associations, individually and combined, with offspring risk of OWOB during childhood. MATERIALS AND METHODS: Participants included 295 father-child pairs from the Lifeways Cross-Generation Cohort Study. A composite paternal healthy lifestyle score (HLS) based on having a high dietary quality (top 40% of the Healthy Eating Index-2015), meeting physical activity guidelines (≥450 MET-min/week of moderate-to-vigorous physical activity), having a healthy body mass index (BMI) (18.5-24.9 kg/m2 ), being a non-smoker, and having no/moderate alcohol intake, was calculated (range 0-5). Paternal HLS (and individual components) associations with child BMI and waist-to-height ratio (WHtR) at age 5 and 9 years were assessed using linear (BMI z-scores and WHtR) and logistic (IOTF categories) regression analyses, adjusted for sociodemographic characteristics. RESULTS: At age 5 and 9 years, 23.5% and 16.9% of children were classified as living with OWOB, respectively. Of the 160 pairs with a complete HLS, 45.0% of the fathers had unfavorable lifestyle factors, determined by a low HLS between 0 and 2 points. Although a low paternal HLS was not significantly associated with a higher risk of childhood OWOB measured using either BMI z-scores and IOTF categories, it was associated with a greater child WHtR, an indicator of central adiposity, at 9 years of age (ß [95% CI] = 0.04 [0.01,0.07]). DISCUSSION AND CONCLUSION: Almost half of the fathers had unfavorable lifestyle factors around pregnancy. A low paternal HLS was associated with a greater child WHtR at 9 years but not with a higher risk of childhood OWOB when measured by BMI z-scores or IOTF categories.

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

BACKGROUND: Little 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. METHODS: We 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. RESULTS: Each 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. LIMITATIONS: Given the cross-sectional nature of data, we cannot make causal inferences. CONCLUSIONS: Our 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.

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

Background: 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. Methods: 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. Results: 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. Conclusion: HLS was associated with a reduced risk of uncontrolled blood pressure.

Joint association and interaction of birth weight and lifestyle with hypertension: A cohort study in UK Biobank.

Low birth weight and unhealthy lifestyle are both associated with an increased risk of hypertension. The authors aimed to assess the joint association and interaction of birth weight and lifestyle with incident hypertension. The authors included 205 522 participants free of hypertension at baseline from UK Biobank. A healthy lifestyle score was constructed using information on body mass index, physical activity, diet, smoking status and alcohol intake. Cox proportional hazard models were used to investigate the impact of birth weight, healthy lifestyle score and their joint effect on hypertension. The authors documented 13 548 (6.59%) incident hypertension cases during a median of 8.6 years of follow-up. The multivariate adjusted hazard ratios and 95% confidence intervals were 1.12 (1.09, 1.15) per kg lower birth weight and 0.76 (0.75, 0.77) per score increment in healthy lifestyle score. Healthy lifestyle reduced the risk of hypertension in any category of different birth weight groups. The preventive effect of healthy lifestyle on hypertension was the most pronounced at lower birth weight with <2500 g and 2500-2999 g, respectively. Addictive interaction between birth weight and healthy lifestyle score was observed with the relative excess risk due to interaction of 0.04 (0.03, 0.05). Our findings emphasized the importance of healthy lifestyle for hypertension prevention, especially among the high-risk population with lower birth weight.

Healthy lifestyle scores associate with incidence of type 2 diabetes mediated by uric acid.

BACKGROUND: Whether and to what extent serum uric acid (SUA) mediates the association between combined lifestyle behaviors and type 2 diabetes mellitus (T2DM) remain unclear. This study aimed to investigate the role of SUA in the relationship between healthy lifestyle scores (HLS) and the incidence of T2DM. METHODS: This prospective study used data from Zhejiang Metabolic Syndrome cohort. A HLS (5-point scale including healthy waist circumference (WC), never smoking, high physical activity, healthy diet and moderate alcohol intake) was estimated in 13,919 participants, who had SUA at baseline examination in 2009-2014, and were followed-up to 2021-2022 to ascertain incident of T2DM. Cox proportional hazards models and mediation analysis were used to examine the associations between HLS, SUA and T2DM. RESULTS: We included 13,919 participants aged 18 years or older without diabetes at baseline (mean age 54.6 [SD 13.9] years, 58.7% female). During a median follow-up of 9.94 years, 645 cases of T2DM occurred. Compared with participants with a poor HLS, those with 4-5 low-risk lifestyle factors showed a 60% reduction in the risk of developing T2DM (adjusted HR, 0.40; 95% CI: 0.28-0.57). Further, the population-attributable risk percent (95% CI) of T2DM for poor adherence to the overall healthy lifestyle (< 4 low-risk factors) was 43.24% (30.02%, 56.46%). The HLS was inversely associated with SUA level. With per score increased in HLS, the beta (95% CI) of SUA (log transformed) was - 0.03 (- 0.03, - 0.02), and the odds ratio (95% CI) of hyperuricemia was 0.82 (0.77, 0.86). The relationship between the HLS and risk of T2DM was mediated by SUA with a 13.06% mediation effect. There was no significant combined effect of HLS and SUA on risk of T2DM (P = 0.097). CONCLUSIONS: The relationship between overall healthy lifestyle behaviors and T2DM was reconfirmed and the association appeared to be mediated by SUA. The mediation effect of baseline SUA was more pronounced among women who were below 60 years old.

Healthier Lifestyles Attenuated Association of Single or Mixture Exposure to Air Pollutants with Cardiometabolic Risk in Rural Chinese Adults.

There is little research on how long-term exposure to independent and multiple air pollutants changes cardiometabolic risk in adults. In addition, previous studies focused on only the effect of one or two lifestyles on cardiometabolic risk. The evidence on the interactive effects of the lifestyle score and exposure to independent and mixtures of air pollutants on cardiometabolic risk is lacking. A total of 33,638 rural residents were included in the cross-sectional study. The three-year average concentrations of air pollutants for participants were predicted by using a satellite-based prediction. The air pollution score was created to assess the combined exposure of four air pollutants (PM1, PM2.5, PM10, and NO2). A gender−age-specific cardiometabolic risk score was calculated. Multivariable-adjusted linear regression and quantile g-computation were used to investigate the associations between air pollutants and cardiometabolic risk. Interaction plots were applied to describe the interactive effects of air pollution and the healthy lifestyle score on cardiometabolic risk. Per interquartile range (IQR) unit increases in PM1, PM2.5, PM10, or NO2 were associated with 0.162 (95% CI: 0.091, 0.233), 0.473 (95% CI: 0.388, 0.559), 0.718 (95% CI: 0.627, 0.810), and 0.795 (95% CI: 0.691, 0.898) unit increases in cardiometabolic risk score (all p < 0.05), respectively. A 0.854 (95% CI: 0.768, 0.940) unit increase in cardiometabolic risk was associated with each IQR increase in air pollution score. Furthermore, the strengths of associations of PM1, PM2.5, PM10, NO2, and the air pollution score on cardiometabolic risk score were attenuated with the healthy lifestyle score increase. In addition, there was no statistical significance after the lifestyle score equal to four scores for the effect of PM1 on the cardiometabolic risk score. In conclusions, individual or joint air pollutants were associated with an increased cardiometabolic risk. Improving the healthy lifestyle may be an effective method to improve cardiometabolic health in highly polluted rural regions.

The power of a healthy lifestyle for cancer prevention: the example of colorectal cancer.

OBJECTIVE: We aimed to directly compare the estimated effects of adherence to a healthy lifestyle with those of risk predisposition according to known genetic variants affecting colorectal cancer (CRC) risk, to support effective risk communication for cancer prevention. METHODS: A healthy lifestyle score (HLS) was derived from 5 lifestyle factors: smoking, alcohol consumption, diet, physical activity, and body adiposity. The association of lifestyle and polygenic risk score (PRS) (based on 140 CRC-associated risk loci) with CRC risk was assessed with multiple logistic regression and compared through the genetic risk equivalent (GRE), a novel approach providing an estimate of the effects of adherence to a healthy lifestyle in terms of percentile differences in PRS. RESULTS: A higher HLS was associated with lower CRC risk (4,844 cases, 3,964 controls). Those adhering to all 5 healthy lifestyle factors had a 62% (95% CI 54%-68%) lower CRC risk than those adhering to ≤ 2 healthy lifestyle factors. The estimated effect of adherence to all 5 compared with ≤ 2 healthy lifestyle factors was as strong as the effect of having a 79 percentile (GRE 79, 95% CI 61-97) lower PRS. The association between a healthy lifestyle and CRC risk was independent of PRS level but was particularly pronounced among those with a family history of CRC in ≥ 1 first-degree relative (P-interaction = 0.0013). CONCLUSIONS: A healthy lifestyle was strongly inversely associated with CRC risk. The large GRE indicated that CRC risk determined by polygenic risk may be offset to a substantial extent by adherence to a healthy lifestyle.

Higher healthy lifestyle scores are associated with greater bone mineral density in middle-aged and elderly Chinese adults.

This study examined the association between healthy lifestyle score (HLS), which contained 7 items (smoking, BMI, physical activity, diet, alcohol, sleep and anxiety) and BMD. Results showed HLS was positively associated with BMD at all studied sites, suggesting that healthier lifestyle patterns might be beneficial to bone health. PURPOSE: Previous studies have reported favourable associations of individual healthy lifestyle factors with bone mineral density (BMD), but limited evidence showed the relationship of a combined healthy lifestyle score (HLS) with BMD. This study examined the association between the HLS and BMD. METHODS: This community-based cross-sectional study included 3051 participants aged 40-75 years. The HLS contained 7 items (smoking, BMI, physical activity, diet quality, alcohol intake, sleep and anxiety). BMD values of whole body (WB), lumbar spine 1-4 (L1-4), total hip (TH) and femur neck (FN) were measured using dual-energy X-ray absorptiometry. RESULTS: After adjusting for potential covariates, HLS was positively associated with BMD at all studied sites (P-trend < 0.01). The mean BMDs were 2.69% (WB), 5.62% (L1-4), 6.13% (TH) and 5.71% (FN) higher in participants with HLS of 6-7 points than in those with HLS of 0-2 points. The per 1 of 7 unit increase in the HLS was associated with increases of 7.63 (WB)-13.4 (TH) mg/cm2 BMD levels at all sites. These favourable associations tended to be more pronounced in men than in women. Among the 7 items, physical activity contributed most to the favourable associations, followed by BMI, non-smoking and diet; the other three items played little roles. Sensitivity analyses showed that the significant associations remained after excluding any one of the 7 components or excluding fracture subjects at all sites. CONCLUSION: Higher HLS was associated with greater BMD in middle-aged and elderly Chinese, suggesting that healthier lifestyle patterns might be beneficial to bone health.

DNA Methylation in RARß Gene as a Mediator of the Association Between Healthy Lifestyle and Breast Cancer: A Case-Control Study.

PURPOSE: Lifestyle factors and methylation in the retinoic acid receptor ß (RARß) gene are associated with breast cancer (BC). This study aims to examine the mediation effect of RARß methylation on the association between healthy lifestyle and BC in Chinese women. PATIENTS AND METHODS: This case-control study consisted of 408 BC patients and 573 controls. A healthy lifestyle score (HLS) was constructed based on diet, alcohol use, physical activity, body mass index and smoking. The mediation effect of RARß methylation in peripheral blood leukocytes was assessed in a causal mediation model using R package Lavaan. RESULTS: A higher HLS was significantly associated with lower risk of BC (P-value<0.001). In mediation analyses, the total effect of HLS on BC measured as a regression coefficient was significant (-0.237). The indirect effects of HLS on RARß methylation (-0.153) and RARß methylation on BC (0.220) were both significant. The significant mediation effect of RARß methylation on the HLS-BC association was estimated at 14.3%. CONCLUSION: The relationship between healthy lifestyle and BC is partly mediated by RARß methylation, suggesting that epigenetic modifications play a role in the underlying mechanisms in response to lifestyles and contribute to the development of BC.