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

An investigation into social determinants of health lifestyles of Canadians: a nationwide cross-sectional study on smoking, physical activity, and alcohol consumption

BACKGROUND

Health lifestyles exert a substantial influence on the quality of everyday life, primarily affecting health maintenance and enhancement. While health-related practices during the COVID-19 pandemic may have positively altered the health lifestyles of Canadians to a certain degree, government reports indicate that issues related to health behaviors, such as cigarette smoking, physical inactivity, and alcohol consumption, continue to pose challenges to the health of Canadians. Social determinants of these health behaviors thus hold significant academic value in the formulation of policy guidelines.

OBJECTIVE

The aim of this study is to scrutinize the social determinants of health with respect to social factors that have may have impacts on the health-related behaviors of Canadians. We tested health behaviors including cigarette use, alcohol consumption, and participation in physical exercise, which are integral to the promotion and improvement of individual health.

METHODS

To examine the social determinants of Canadians' health lifestyles, we utilized nationally representative data from the 2017-2018 Canadian Community Health Survey annual component. Our data analysis involved the bootstrapping method with two-level mixed-effect logistic regressions, ordered logistic regressions, and negative binomial regressions. Additionally, we conducted several robustness checks to confirm the validity of our findings.

RESULTS

The findings show that demographic background, socioeconomic status, social connections, and physical and mental health conditions all play a role in Canadians' smoking, physical activity, and drinking behaviors. Noticeably, the association patterns linking to these social determinants vary across specific health lifestyles, shedding light on the complex nature of the social determinants that may influence young and middle-aged Canadians' health lifestyles. Moreover, in the context of Canada, the health-region level demographic, socioeconomic, and working conditions are significantly linked to residents' health lifestyles.

CONCLUSIONS

Investigating the social determinants of health lifestyles is pivotal for policymakers, providing them with the necessary insights to create effective interventions that promote healthy behaviors among specific demographic groups. It is recommended that health education and interventions at the community level targeting smoking, physical inactivity, and alcohol consumption be introduced. These interventions should be tailored to specific subgroups, considering their demographic and socioeconomic characteristics, social networks, and health status. For instance, it is imperative to focus our attention on individuals with lower educational attainment and socioeconomic status, particularly in relation to their smoking habits and physical inactivity. Conversely, interventions aimed at addressing alcohol consumption should be targeted towards individuals of a higher socioeconomic status. This nuanced approach allows for a more effective and tailored intervention strategy.

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

OBJECTIVE

Various 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.

METHODS

This 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.

RESULTS

Within 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.

CONCLUSION

Our results indicate that a higher healthy lifestyle score is associated with a lower risk of MASLD.

Associations of combined lifestyle index with migraine prevalence and headache frequency: a cross-sectional study from the MECH-HK study

BACKGROUND

Prior research has shown that individual lifestyles were associated with migraine. Yet, few studies focused on combined lifestyles, particularly in Chinese populations. This cross-sectional study aimed to investigate the relationships of a combined lifestyle index with migraine in Hong Kong Chinese women.

METHODS

Baseline data from a cohort study named Migraine Exposures and Cardiovascular Health in Hong Kong Chinese Women (MECH-HK) were used for analysis. In total 3510 women aged 55.2 ± 9.1 years were included. The combined lifestyle index comprised eight lifestyle factors: smoking, physical activity, sleep, stress, fatigue, diet, body mass index, and alcohol. Each component was attributed a point of 0 (unhealthy) or 1 (healthy). The overall index was the sum of these points, ranging from 0 (the least healthy) to 8 points (the healthiest). Migraine was diagnosed by the International Classification of Headache Disorders 3rd edition. Additionally, for women with migraine, the data on migraine attack frequency (attacks/month) was collected.

RESULTS

A total of 357 women with migraine (10.2%) were identified. The prevalence of migraine for the 0-3-point, 4-point, 5-point, 6-point, and 7-8-point groups were 18.0% (162/899), 10.9% (86/788), 6.6% (51/776), 6.0% (38/636), and 4.9% (20/411), respectively. In the most-adjusted model, compared to the 0-3-point group, the odds ratios and 95% confidence intervals for the 4-point, 5-point, 6-point, and 7-8-point groups were 0.57 (0.43-0.75), 0.33 (0.24-0.46), 0.30 (0.21-0.44), and 0.25 (0.15-0.41), respectively (all p < 0.001). For each component, migraine was significantly associated with sleep, stress, fatigue, and diet; but was unrelated to smoking, physical activity, body mass index, and alcohol. Among women with migraine, per point increase in the combined lifestyle index was associated with a reduced migraine attack frequency (β = - 0.55; 95% confidence interval = - 0.82, - 0.28; p < 0.001).

CONCLUSIONS

A combined lifestyle index was inversely associated with migraine and migraine attack frequency in Hong Kong Chinese women. Adhering to a healthy lifestyle pattern might be beneficial to the prevention of migraine attacks. Conversely, it is also plausible that women with migraine might have a less healthy lifestyle pattern compared to those without headaches.

Combined Influence of Eight Lifestyle Factors on Metabolic Syndrome Incidence: A Prospective Cohort Study from the MECH-HK Study

Although previous studies have shown significant associations between individual lifestyles and metabolic syndrome, limited studies have explored the combined effect of lifestyles. The purpose of this study was to investigate whether a combined lifestyle score was associated with metabolic syndrome incidence in Hong Kong Chinese women. This prospective cohort study included 1634 women (55.9 ± 8.6 years) without baseline metabolic syndrome, diabetes, myocardial infarction, or stroke. Eight lifestyle factors (smoking, physical activity, sedentary time, sleep, stress, fatigue, diet, and alcohol) were included by assigning 0 (unhealthy) or 1 point (healthy). The overall score was the sum of these points, ranging from 0 (the least healthy) to 8 points (the healthiest). Metabolic syndrome was diagnosed by the joint interim statement. During a 1.16-year follow-up, 179 (11.0%) new metabolic syndrome cases were identified. The incidences for the 0-3-point, 4-point, 5-point, and 6-8-point groups were 12.8% (79/618), 11.5% (42/366), 9.4% (29/309), and 8.5% (29/341), respectively. Compared to the lowest combined lifestyle score group, the highest group had a 47% reduced metabolic syndrome incidence, with an adjusted odds ratio and 95% confidence interval of 0.53 (0.33-0.86) (p = 0.010). These findings indicate that a higher combined lifestyle score was associated with a lower metabolic syndrome incidence in this population.

Associations of non-alcoholic fatty liver disease and cirrhosis with liver cancer in European and East Asian populations: A Mendelian randomization study

BACKGROUND

The positive relationships of non-alcoholic fatty liver disease (NAFLD) and cirrhosis with liver cancer were shown in previous observational studies, while further Mendelian randomization (MR) investigations are needed to confirm the possible causal associations.

AIMS

This study aimed to explore whether NAFLD and cirrhosis were causally related to liver cancer using MR in European and East Asian populations.

METHODS AND RESULTS

For European populations, NAFLD data were obtained from a genome-wide meta-analysis (8434 patients and 770 180 controls). The data on chronic elevation of alanine aminotransferase (cALT), a proxy of NAFLD, were derived from Million Veteran Program (68 725 patients and 95 472 controls). Cirrhosis data were collected from two sources: a genome-wide association study of five cohorts (4829 patients and 72 705 controls) and FinnGen (1931 patients and 216 861 controls). Liver cancer data were collected from FinnGen (304 patients and 174 006 controls). For East Asian populations, the data on cirrhosis (2184 patients and 210 269 controls) and hepatocellular carcinoma (1866 patients and 195 745 controls) were obtained from Biobank Japan. Three, 41, seven, six, and three single-nucleotide polymorphisms were used for NAFLD (European), cALT (European), cirrhosis (European-five cohorts), cirrhosis (European-FinnGen), and cirrhosis (East Asian), respectively. We used inverse-variance weighted as the primary method to calculate the odds ratio (OR) and 95% confidence interval (CI). Among European populations, genetically-predicted NAFLD, cALT, cirrhosis (five cohorts), and cirrhosis (FinnGen) were positively associated with liver cancer, with ORs (95% CIs) of 6.62 (3.81-11.50) (p < .001), 2.59 (1.70-3.94) (p < .001), 3.38 (2.41-4.75) (p < .001), and 2.62 (1.20-5.72) (p = .015). Among East Asian populations, there was also a positive association between genetically-predicted cirrhosis and hepatocellular carcinoma (OR = 2.12; 95% CI = 1.78-2.52; p < .001).

CONCLUSION

This study utilized MR to complementarily confirm the positive connections of NAFLD and cirrhosis with liver cancer, as identified in earlier observational research. Subsequent MR investigations involving more liver cancer cases are needed.

Adherence to healthy lifestyle was associated with an attenuation of the risk of chronic kidney disease from metabolic dysfunction-associated fatty liver disease: Results from two prospective cohorts

AIMS

Non-alcoholic fatty liver disease (NAFLD) and metabolic dysfunction-associated fatty liver disease (MAFLD) are important risk factors of chronic kidney disease (CKD). Whether adherence to a healthy lifestyle can modify these effects remain unknown. This study aimed to evaluate the modification effects of healthy lifestyle on the associations among NAFLD, MAFLD, and the risk of CKD, with taking into the effect of genetic risk.

METHODS

The Tianjin Chronic Low-grade Systemic Inflammation and Health Cohort Study (TCLSIH), the UK Biobank Study (UKB). The outcome was incident CKD. The exposures including NAFLD, MAFLD, healthy lifestyle, and a genetic risk score (GRS) for CKD.

RESULTS

After 1,135,334 person-year follow-up, we documented 2975 incident CKD cases in the two cohorts. MAFLD and NAFLD were associated with a higher risk of CKD, particularly in patients with MAFLD. In the TCLSIH and UKB, the hazard ratios (95% confidence intervals) of incident CKD for MAFLD were 1.47 (1.30, 1.66) and 1.73 (1.57, 1.91), respectively. Adherence to a healthier lifestyle decreased the risk of CKD from MAFLD with significant interaction effects (TCLSIH: Pinteraction = 0.02; UKB: Pinteraction = 0.04). Participants with a lower CKD-GRS experienced a higher risk of CKD from MAFLD, but achieved two healthy lifestyles can significantly decreased the risk of CKD in patients with MAFLD.

CONCLUSIONS

MAFLD and NAFLD are associated with a higher CKD risk, particularly MAFLD. Adherence to a healthier lifestyle was associated with a lower risk of CKD from MAFLD. These results highlight the important role of following a healthy lifestyle to prevent CKD.

A healthy lifestyle, Life's Essential 8 scores and new-onset severe NAFLD: A prospective analysis in UK Biobank

BACKGROUND

The association of a healthy lifestyle and the American Heart Association (AHA) Life's Essential 8 (LE8) score with the risk of new-onset nonalcoholic fatty liver disease (NAFLD) remains uncertain. We aimed to explore the associations between a healthy lifestyle and higher LE8 scores with new-onset severe NAFLD in the general population.

METHODS

266,645 participants without prior liver diseases were included from the UK Biobank. A healthy lifestyle was determined based on body mass index, smoking, alcohol consumption, physical activity, sleep duration, and diet. LE8 score was generated from 8 metrics according to the AHA cardiovascular health (CVH) advisory, varying from 0 to 100 scores. The primary study outcome was new-onset severe NAFLD. The study outcomes were ascertained by hospital inpatient data, cancer registry, and death register records.

RESULTS

During a median follow-up of 11.9 years, 2284(0.9 %) participants developed severe NAFLD. Compared with those with a poor lifestyle, participants with intermediate (HR, 0.60; 95%CI: 0.55-0.67), or ideal (HR, 0.20; 95%CI: 0.15-0.27) lifestyles had a significantly lower risk of new-onset severe NAFLD. Compared to the low CVH group (LE8 scores: 0-49), the moderate (scores:50-79) (HR, 0.43; 95%CI: 0.39-0.48) and high CVH (scores:80-100) (HR, 0.10; 95%CI: 0.07-0.14) group had a significantly lower risk of new-onset severe NAFLD. Accordingly, adhering to a healthy lifestyle and attaining a high CVH in all individuals could prevent 66.8 % (95%CI: 58.5-75.1 %) and 77.3 % (95%CI:70.4-84.2 %) of severe NAFLD, respectively. Genetic risks of NAFLD did not modify these associations.

CONCLUSION

A favorable lifestyle and a higher LE8 score were significantly associated with a lower risk of new-onset severe NAFLD, independent of genetic risks of NAFLD.

Relationship Between Plasma Aldosterone Concentrations and Non-Alcoholic Fatty Liver Disease Diagnosis in Patients with Hypertension: A Retrospective Cohort Study

Objective

To investigate the association between plasma aldosterone concentration (PAC) and non-alcoholic fatty liver disease (NAFLD) diagnosis in Chinese hypertensive patients.

Methods

We conducted a retrospective study of all patients diagnosed with hypertension between January 1, 2010, and December 31, 2021. We included 3713 hypertensive patients based on the criteria for inclusion and exclusion. PAC measurement was performed using a radioimmunoassay. NAFLD was diagnosed using abdominal ultrasonography. Cox regression analysis was used to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs) for univariable and multivariable models. A generalized additive model was used to identify nonlinear relationships between PAC and NAFLD diagnosis.

Results

A total of 3713 participants were included in the analysis. Over a median follow-up of 30 months, 1572 hypertensive individuals developed new-onset NAFLD. When PAC was used as a continuous variable, the risk of NAFLD increased by 1.04 and 1.24-fold for each 1 ng/dL and 5 ng/dL increase in PAC, respectively. When PAC was considered a categorical variable, the HR for tertile 3 was 1.71 (95% CI, 1.47-1.98, P < 0.001) compared to tertile 1. Overall, there was a J-shaped relationship between PAC and new-onset NAFLD. By fitting a two-piecewise linear regression model and using a recursive algorithm, we identified a PAC inflection point at 13 ng/dL (log-likelihood ratio test, P = 0.005). In adjusted model 3, for PAC ≥ 13 ng/dL, a 5 ng/dL increase in PAC was associated with a 30% increase in the risk of new-onset NAFLD (95% CI, 1.25-1.35, P < 0.001).

Conclusion

The study revealed a non-linear relationship between elevated PAC levels and the incidence of NAFLD in hypertensive patients. Notably, the risk of new-onset NAFLD was significantly increased when PAC levels were ≥13 ng/dL. Larger, prospective studies are necessary to confirm these findings.

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,P_trend<0.001) and HLS(OR:0.03;95%CI:0.01-0.05,P_trend<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,P_trend<0.001) and HLS(OR:0.02;95%CI:0.01-0.04,P_trend<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.

A healthy lifestyle during adolescence was inversely associated with fatty liver indices in early adulthood: findings from the DONALD cohort study

A healthy lifestyle during adolescence is associated with insulin sensitivity or liver enzyme levels and thus might contribute to the prevention of non-alcoholic fatty liver disease (NAFLD). Therefore, we examined the association between adherence to a hypothesis-based lifestyle score including dietary intake, physical activity, sedentary behaviour, sleep duration and BMI in adolescence and fatty liver indices in early adulthood. Overall, 240 participants of the DOrtmund Nutritional and Anthropometric Longitudinally Designed study completed repeated measurements of lifestyle score factors during adolescence (females: 8·5-15·5 years, males: 9·5-16·5 years). Multivariable linear regression models were used to investigate the association between adolescent lifestyle scores and NAFLD risk (hepatic steatosis index (HSI) and fatty liver index (FLI)) in early adulthood (18-30 years). Participants visited the study centre 4·9 times during adolescence and achieved on average 2·8 (min: 0·6, max: 5) out of five lifestyle score points. Inverse associations were observed between the lifestyle score and fatty liver indices (HSI: ß=-5·8 % (95 % CI -8·3, -3·1), P < 0·0001, FLI: ß=-32·4 % (95 % CI -42·9, -20·0), P < 0·0001) in the overall study population. Sex-stratified analysis confirmed these results in men, while inverse but non-significant associations were observed in women (P > 0·05). A higher lifestyle score was associated with lower HSI and FLI values, suggesting that a healthy lifestyle during adolescence might contribute to NAFLD prevention, predominantly in men. Our findings on repeatedly measured lifestyle scores in adolescents and their association with NAFLD risk in early adulthood warrant confirmation in larger study populations.

Burden of liver complications related to non-alcoholic fatty liver disease in China from 2005 to 2019: Observations from the Global Burden of Disease Study, 2019

AIM

To assess the burden of liver complications related to non-alcoholic fatty liver disease (LC-NAFLD) from 2005 to 2019 in China.

MATERIALS AND METHODS

We used data from the Global Burden of Disease, Injuries, and Risk Factors Study, 2019, to present contemporary and varying profiles of China's LC-NAFLD burden. The Joinpoint Regression model and Gaussian process regression were, respectively, used to estimate the annual percentage change in prevalence rates and disability-adjusted life-year (DALY) rates, and the relationship between the sociodemographic index (SDI) and age-standardized rates of LC-NAFLD.

RESULTS

In 2019, China had 293.42 million (95% uncertainty interval [UI]: 263.69-328.44) LC-NAFLD cases with a prevalence rate and DALYs of 20.63 (95% UI: 23.09-18.54) per 1000 people and 591.03 thousand (95% UI: 451.25-737.33), respectively. North China had the highest prevalence but the lowest DALYs of LC-NAFLD, whereas Southwest China had the lowest prevalence but the highest DALYs. LC-NAFLD were more common in men than in women (male: female ratio, 1.27) in 2019. From 2005 to 2019, the prevalence of NAFLD cases increased by 68.32% (from 174.32 million in 2005 to 293.42 million in 2019), mainly because of an age-specific prevalence rate increase.

CONCLUSION

The LC-NAFLD burden in China is substantial and has increased markedly over the past 15 years. Effective measures for low SDI regions and men are needed to address the rapidly increasing NAFLD burden.

Association of Healthy Lifestyles with Non-Alcoholic Fatty Liver Disease: A Prospective Cohort Study in Chinese Government Employees

BACKGROUND

Evidence indicates that certain healthy lifestyle factors are associated with non-alcoholic fatty liver disease (NAFLD). However, little is known about the effect of combined healthy lifestyle factors.

OBJECTIVE

To assess the association of combined healthy lifestyle factors with the incidence of NAFLD.

METHODS

This cohort study was conducted in Changsha, Hunan Province, China. The healthy lifestyles factors studied were not being a current smoker, having a healthy diet, engaging in physical activity, having a normal body mass index (BMI) and engaging in non-sedentary behavior. NAFLD was diagnosed based on abdominal ultrasonography. Logistic regression models were conducted to investigate the associations being studied.

RESULTS

Of the 5411 participants, 1280 participants had NAFLD, with a prevalence of 23.7% at baseline. The incidence of NAFLD among participants without NAFLD at baseline was found to be 7.2% over a mean follow-up of 1.1 years. Compared with participants with 0-1 low-risk factors, the OR of NAFLD was 0.50 (95% CI: 0.29-0.82, p = 0.008) for those with at least 4 low-risk factors. Similar associations were observed in subgroup analyses and sensitivity analyses.

CONCLUSION

This study suggests that a combined healthy lifestyle pattern may considerably decrease the risk of NAFLD in Chinese government employees.

Higher Adherence to Healthy Lifestyle Score Is Associated with Lower Odds of Non-Alcoholic Fatty Liver Disease

Growing evidence supports that individual lifestyle factors contribute to the development of non-alcoholic fatty liver disease (NAFLD) without considering the coexistence and synergistic effect of lifestyle factors. Our aim is to derive a healthy lifestyle score (HLS) and estimate its association with NAFLD. In this nationwide cross-sectional study, we derived a five-item HLS including dietary pattern, body mass index, physical activity, cigarette smoking, and sleep duration. NAFLD and clinically significant fibrosis (CSF) were assessed based on vibration-controlled transient elastography (VCTE). Liver function parameters were also tested. Multivariable logistic and linear regressions were applied to investigate the association between HLS and liver diseases. Of the 3893 participants with VCTE examination, approximately 14.1% of participants possessed zero or one healthy lifestyle, 62.5% possessed two or three healthy lifestyles, and 23.4% possessed four or five healthy lifestyles. Compared with participants with a low HLS (0−1 score), the adjusted odds ratios and 95% confidence intervals for those with a high HLS (4−5 score) were 0.25 (0.19~0.33, Ptrend < 0.001) for NAFLD and 0.30 (0.18~0.50, Ptrend < 0.001) for CSF. HLS was positively associated with albumin, total protein, and total bilirubin (all Ptrend ≤ 0.001), and was inversely associated with globulin, alanine aminotransferase, and gamma-glutamyl transaminase (all Ptrend ≤ 0.003). Higher adherence to HLS is associated with lower odds of NAFLD and CSF and may improve liver function. Strategies for the promotion of a healthy lifestyle should be considered as part of NAFLD prevention.

Association of healthy lifestyles on the risk of hypertension, type 2 diabetes mellitus, and their comorbidity among subjects with dyslipidemia

Background

Adherence to a healthy lifestyle could reduce the risk of hypertension and diabetes in general populations; however, whether the associations exist in subjects with dyslipidemia remains unclear. This study aimed to investigate the integrated effect of lifestyle factors on the risk of hypertension, type 2 diabetes mellitus (T2DM), and their comorbidity among subjects with dyslipidemia.

Methods

In total of 9,339 subjects with dyslipidemia were recruited from the baseline survey of the Guangzhou Heart Study. A questionnaire survey and medical examination were performed. The healthy lifestyle score (HLS) was derived from five factors: smoking, alcohol drinking, diet, body mass index, and leisure-time physical activity. Odds ratios (ORs) with 95% confidence interval (95% CI) were calculated by using the logistic regression model and the multinomial logistic regression after adjusting for confounders.

Results

The prevalence of hypertension, T2DM, and their comorbidity was 47.65, 16.02, and 10.10%, respectively. Subjects with a higher HLS were associated with a lower risk of hypertension, T2DM, and their comorbidity. In comparison to the subjects with 0–2 HLS, the adjusted ORs for subjects with five HLS was 0.48 (95% CI: 0.40–0.57) and 0.67 (95% CI: 0.54–0.84) for hypertension and T2DM. Compared with subjects with 0-2 HLS and neither hypertension nor T2DM, those with five HLS had a lower risk of suffering from only one disease (OR: 0.48, 95% CI: 0.40–0.57) and their comorbidity (OR: 0.35, 95% CI: 0.26–0.47).

Conclusions

The results suggest that the more kinds of healthy lifestyle, the lower the risk of hypertension, T2DM, and their comorbidity among subjects with dyslipidemia. Preventive strategies incorporating lifestyle factors may provide a more feasible approach for the prevention of main chronic diseases.

Effect of healthy lifestyle index and lifestyle patterns on the risk of mortality: A community-based cohort study

Background

Limited evidence was available on the association of the integrated effect of multidimensional lifestyle factors with mortality among Chinese populations. This cohort study was to examine the effect of combined lifestyle factors on the risk of mortality by highlighting the number of healthy lifestyles and their overall effects.

Methods

A total of 11,395 participants from the Guangzhou Heart Study (GZHS) were followed up until 1 January 2020. Individual causes of death were obtained from the platform of the National Death Registry of China. The healthy lifestyle index (HLI) was established from seven dimensions of lifestyle, and lifestyle patterns were extracted from eight dimensions of lifestyle using principal component analysis (PCA). Hazard ratios (HRs) and 95% confidence intervals (95% CIs) were estimated using the Cox proportional hazard regression model.

Results

During 35,837 person-years of follow-up, 184 deaths (1.61%) were observed, including 64 from cardiovascular disease. After adjustment for confounders, HLI was associated with a 50% (HR: 0.50, 95% CI: 0.25–0.99) reduced risk of all-cause mortality when comparing the high (6–7 lifestyle factors) with low (0–2 lifestyle factors) categories. Three lifestyle patterns were defined and labeled as pattern I, II, and III. Lifestyle pattern II with higher factor loadings of non-smoking and low-level alcohol drinking was associated with a decreased risk of all-cause mortality (HR: 0.63, 95% CI: 0.43–0.92, P_–trend = 0.023) when comparing the high with low tertiles of pattern score, after adjustment for confounders. Every 1-unit increment of pattern II score was associated with a decreased risk (HR: 0.97, 95% CI: 0.95–0.99) of all-cause mortality. The other two patterns were not associated with all-cause mortality, and the association of cardiovascular mortality risk was observed with neither HLI nor any lifestyle pattern.

Conclusion

The results suggest that the more dimensions of the healthy lifestyle the lower the risk of death, and adherence to the lifestyle pattern characterized with heavier loading of non-smoking and low-level alcohol drinking reduces the risk of all-cause mortality. The findings highlight the need to consider multi-dimensional lifestyles rather than one when developing health promotion strategies.

Nonalcoholic fatty liver disease: lifestyle and quality of life

Nonalcoholic fatty liver disease (NAFLD) is a metabolic disorder whose current rapidly expanding prevalence is causing it to develop into a major global health concern. NAFLD is closely linked to the modern, unhealthy lifestyle. The Western diet, characterized by excessive energy intake, frequent consumption of red meat, processed meat and foods, soft drinks, and sugar-sweetened beverages (SSBs), irregular meal distribution throughout the day, and unhealthy ways of cooking, predisposes to development of NAFLD. Low levels of physical activity and prolonged sedentary time are additional lifestyle risk factors for NAFLD. Given the present lack of effective pharmacological treatment, lifestyle modifications are regarded as the cornerstone of NAFLD management. Reducing daily calorie intake together with following the Mediterranean diet (MD) is an increasingly accepted approach. Furthermore, increasing the level of physical activity and limiting sedentary behavior are additional measures proposed to improve the outcomes of the disease. Apart from being affected by lifestyle, NAFLD may also affect patients' quality of life (QoL), mostly in the domain of physical function. In this regard, while the early and more benign form of the disease, i.e., simple hepatic steatosis, may not affect QoL, there is evidence, though conflicting, of the impact of nonalcoholic steatohepatitis (NASH) on this index, with, however, most studies showing that QoL is consistently affected in advanced disease, i.e., hepatic fibrosis, cirrhosis, and hepatocellular carcinoma. Considering all the above, appropriate management of lifestyle is likely to attenuate the severity of the disease and improve the QoL of NAFLD patients.

Insomnia Promotes Hepatic Steatosis in Rats Possibly by Mediating Sympathetic Overactivation

Background: Insomnia is a widespread problem that can lead to the occurrence of other diseases and correlates closely with sympathetic nerve hyperactivation. Obesity-induced hepatic steatosis is mediated by sympathetic overactivation. However, it remains unclear whether insomnia may cause hepatic steatosis. The goal of this study was to preliminarily investigate whether insomnia caused hepatic steatosis in rats via sympathetic hyperactivation.

Methods: A total of 32 Sprague-Dawley male rats were divided randomly into four groups: model, sympathetic denervation (Sd), estazolam, and control (eight rats/group). Model group received sustained sleep deprivation using the modified multiple platform method. In the Sd group, rats underwent sleep deprivation after receiving Sd by 6-hydroxydopamine (6-OHDA). Estazolam group: the rats concurrently received sleep deprivation and treatment with estazolam. The other eight rats housed in cages and kept in a comfortable environment were used as control. Blood samples were obtained for analysis of plasma lipids and hepatic function. Sympathetic hyperactivation-related indexes and hepatic steatosis in liver tissues were tested.

Results: Liver enzymes, plasma lipid levels, and hepatic steatosis were elevated in insomnia rats, and sympathetic hyperactivation was found. Insomnia-induced hepatic steatosis was effectively lowered with pharmacological ablation of the hepatic sympathetic nerves. Furthermore, the treatment of insomnia with estazolam inhibited sympathetic activation and reduced hepatic steatosis.

Conclusion: Sustained sleep deprivation-induced insomnia promotes hepatic steatosis in rats possibly by mediating sympathetic overactivation.