An novel effective and safe model for the diagnosis of nonalcoholic fatty liver disease in China: gene excavations, clinical validations, and mechanism elucidation.

BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) is one of the most common chronic liver diseases. NAFLD leads to liver fibrosis and hepatocellular carcinoma, and it also has systemic effects associated with metabolic diseases, cardiovascular diseases, chronic kidney disease, and malignant tumors. Therefore, it is important to diagnose NAFLD early to prevent these adverse effects. METHODS: The GSE89632 dataset was downloaded from the Gene Expression Omnibus database, and then the optimal genes were screened from the data cohort using lasso and Support Vector Machine Recursive Feature Elimination (SVM-RFE). The ROC values of the optimal genes for the diagnosis of NAFLD were calculated. The relationship between optimal genes and immune cells was determined using the DECONVOLUTION algorithm CIBERSORT. Finally, the specificity and sensitivity of the diagnostic genes were verified by detecting the expression of the diagnostic genes in blood samples from 320 NAFLD patients and liver samples from 12 mice. RESULTS: Through machine learning we identified FOSB, GPAT3, RGCC and RNF43 were the key diagnostic genes for NAFLD, and they were further demonstrated by a receiver operating characteristic curve analysis. We found that the combined diagnosis of the four genes identified NAFLD samples well from normal samples (AUC = 0.997). FOSB, GPAT3, RGCC and RNF43 were strongly associated with immune cell infiltration. We also experimentally examined the expression of these genes in NAFLD patients and NAFLD mice, and the results showed that these genes are highly specific and sensitive. CONCLUSIONS: Data from both clinical and animal studies demonstrate the high sensitivity, specificity and safety of FOSB, GPAT3, RGCC and RNF43 for the diagnosis of NAFLD. The relationship between diagnostic key genes and immune cell infiltration may help to understand the development of NAFLD. The study was reviewed and approved by Ethics Committee of Tianjin Second People's Hospital in 2021 (ChiCTR1900024415).

Ultraprocessed food consumption, genetic predisposition, and the risk of gout: the UK Biobank study.

OBJECTIVE: This study aimed to examine the interactions between ultraprocessed food (UPF) consumption and genetic predisposition with the risk of gout. METHODS: This prospective cohort study analysed 181 559 individuals from the UK Biobank study who were free of gout at baseline. UPF was defined according to the NOVA classification. Assessment of genetic predisposition for gout was developed from a genetic risk score of 33 single nucleotide polymorphisms. Cox proportional hazards were used to estimate the associations between UPF consumption, genetic predisposition and the risk of gout. RESULTS: Among the 181 559 individuals in the study, 1558 patients developed gout over 1 648 167 person-years of follow-up. In the multivariable adjustment model, compared with the lowest quartile of UPF consumption, the hazard ratio (HR) and 95% CI of the highest UPF consumption was 1.16 (1.01, 1.33) for gout risk, and there was a non-linear correlation between UPF consumption and the development of gout. In substitution analyses, replacing 20% of the weight of UPF in the daily intake with an equal amount of unprocessed or minimally processed food resulted in a 13% lower risk of gout (HR: 0.87; 95% CI: 0.79, 0.95). In the joint-effect analysis, the HR (95% CI) for gout was 1.90 (1.39, 2.60) in participants with high genetic predisposition and high UPF consumption, compared with those with low genetic predisposition and low UPF consumption. CONCLUSION: In summary, UPF consumption was found to be associated with a higher risk of gout, particularly in those participants with genetic predisposition to gout. Our study indicated that reducing UPF consumption is crucial for gout prevention.

Adherence to a healthy sleep pattern and risk of urologic cancers: A large prospective cohort study.

OBJECTIVE: A variety of unhealthy sleep behaviors have been shown to be associated with an increased risk of urologic cancers. However, little is known about the association between the overall sleep patterns and urologic cancers. To prospectively investigate the associations between a healthy sleep pattern and the risks of urologic cancers, including bladder cancer (BCa) and renal cell carcinoma (RCC). METHODS: In this prospective cohort study, 377,144 participants free of cancer at baseline were recruited from the UK Biobank. Data on sleep behaviors were collected through questionnaires at recruitment. The incident urologic cancer cases were determined through linkage to national cancer and death registries. We established a healthy sleep score according to five sleep traits (sleep duration, chronotype, insomnia, snoring, and daytime sleepiness). Cox proportional hazard regression models were used to calculate the adjusted hazard ratios and 95% confidence intervals to assess the relationship between the healthy sleep score and the risk of urologic cancers. RESULTS: During a median of ≥9 years of follow-up, we identified 1986 incident urologic cancer cases, including 1272 BCa cases and 706 RCC cases. Compared with the participants with a poor sleep pattern (score of 0-2), the multivariable-adjusted hazard ratio and 95% confidence interval were 0.85 (0.75 to 0.96) for urologic cancers, 0.80 (0.68 to 0.93) for BCa, and 0.91 (0.74, 1.12) for RCC, respectively, for those with the healthier sleep pattern (score of 4-5). CONCLUSION: Our results indicate that a healthy sleep pattern is associated with lower risks of urologic cancers.

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.

Longitudinal association between soft drink consumption and handgrip strength in adults: a prospective analysis from the Tianjin Chronic Low-Grade Systemic Inflammation and Health (TCLSIH) cohort study.

Soft drink consumption has become a highly controversial public health issue. Given the pattern of consumption in China, sugar-sweetened beverage is the main type of soft drink consumed. Due to containing high levels of fructose, a soft drink may have a deleterious effect on handgrip strength (HGS) due to oxidative stress, inflammation and insulin resistance. However, few studies show an association between soft drink consumption and HGS in adults. We aimed to investigate the association between soft drink consumption and longitudinal changes in HGS among a Chinese adult population. A longitudinal population-based cohort study (5-year follow-up, median: 3·66 years) was conducted in Tianjin, China. A total of 11 125 participants (56·7 % men) were enrolled. HGS was measured using a handheld digital dynamometer. Soft drink consumption (mainly sugar-containing carbonated beverages) was measured at baseline using a validated FFQ. ANCOVA was used to evaluate the association between soft drink consumption and annual change in HGS or weight-adjusted HGS. After adjusting for multiple confounding factors, the least square means (95 % CI) of annual change in HGS across soft drink consumption frequencies were -0·70 (-2·49, 1·09) for rarely drinks, -0·82 (-2·62, 0·97) for < 1 cup/week and -0·86 (-2·66, 0·93) for ≥ 1 cup/week (Pfor trend < 0·05). Likewise, a similar association was observed between soft drink consumption and annual change in weight-adjusted HGS. The results indicate that higher soft drink consumption was associated with faster HGS decline in Chinese adults.

The EAT-Lancet diet, genetic susceptibility and risk of atrial fibrillation in a population-based cohort.

BACKGROUND: The EAT-Lancet Commission proposed a global reference diet with both human health benefits and environmental sustainability in 2019. However, evidence regarding the association of such a diet with the risk of atrial fibrillation (AF) is lacking. In addition, whether the genetic risk of AF can modify the effect of diet on AF remains unclear. This study aimed to assess the association of the EAT-Lancet diet with the risk of incident AF and examine the interaction between the EAT-Lancet diet and genetic susceptibility of AF. METHODS: This prospective study included 24,713 Swedish adults who were free of AF, coronary events, and stroke at baseline. Dietary habits were estimated with a modified diet history method, and an EAT-Lancet diet index was constructed to measure the EAT-Lancet reference diet. A weighted genetic risk score was constructed using 134 variants associated with AF. Cox proportional hazards regression models were applied to estimate the hazard ratio (HR) and 95% confidence interval (CI). RESULTS: During a median follow-up of 22.9 years, 4617 (18.7%) participants were diagnosed with AF. The multivariable HR (95% CI) of AF for the highest versus the lowest group for the EAT-Lancet diet index was 0.84 (0.73, 0.98) (P for trend < 0.01). The HR (95% CI) of AF per one SD increment of the EAT-Lancet diet index for high genetic risk was 0.92 (0.87, 0.98) (P for interaction = 0.15). CONCLUSIONS: Greater adherence to the EAT-Lancet diet index was significantly associated with a lower risk of incident AF. Such association tended to be stronger in participants with higher genetic risk, though gene-diet interaction was not significant.

Protein foods from animal sources and risk of nonalcoholic fatty liver disease in representative cohorts from North and South China.

BACKGROUND: Emerging evidence suggests that animal protein foods may increase the risk of nonalcoholic fatty liver disease (NAFLD). We therefore examined the NAFLD risk reduction related to substituting plant protein foods for animal protein foods. METHODS: The cohort in North China included 14,541 participants from the Tianjin Chronic Low-Grade Systemic Inflammation and Health (TCLSIH) study, and the cohort in South China included 1297 participants from the Guangzhou Nutrition and Health Study (GNHS). Dietary intake was assessed using validated food frequency questionnaires. NAFLD was ascertained by abdominal ultrasound. The Cox model was used to fit the substitution analysis. RESULTS: In the TCLSIH cohort, when replacing one type of animal protein food (eggs, processed meat, unprocessed red meat, poultry, and fish) with an equivalent serving of plant protein foods (nuts, legumes, and whole grains), the replacement of animal protein foods with whole grains showed the strongest benefit; substituting one serving per day of whole grains for an equal amount of eggs (hazard ratio [HR] = 0.89; 95% confidence interval [CI]: 0.79, 1.00), processed meat (HR = 0.76; 95% CI: 0.64, 0.91), unprocessed red meat (HR = 0.90; 95% CI: 0.81, 1.00), poultry (HR = 0.81; 95% CI: 0.72, 0.92), or fish (HR = 0.87; 95% CI: 0.78, 0.97) was associated with a lower risk of NAFLD. In both the TCLSIH and GNHS cohorts, replacing poultry with fish, nuts, legumes, or whole grains was associated with a lower risk of NAFLD. When different numbers of protein foods were simultaneously replaced, the risk reduction of NAFLD was stronger. CONCLUSIONS: Our findings suggest that replacing animal protein foods with plant protein foods is related to a significant reduction in NAFLD risk.

Validity of the food frequency questionnaire for adults in nutritional epidemiological studies: A systematic review and meta-analysis.

As the most widely used tool for assessing dietary intake, the validity of food frequency questionnaires (FFQs) should be evaluated before application. A comprehensive search of the PubMed and Web of Science databases was conducted for publications from January 2000 to April 1, 2020. Pooled estimates were calculated for correlation coefficients and mean differences for energy and 61 nutrients between FFQs and standard methods. The literature search identified 130 articles that included 21,494 participants. Subgroup analyses according to the number of administrations of the reference method, sample size, administration methods, FFQ items, reference periods, quality of the studies, gender, and regions were also performed. We conducted a meta-analysis by summarizing the available evidence to comprehensively assess the validity of FFQs stratified by the reference method type (24-hour recall (24HRs) and food records (FRs). We also performed subgroup analyses to examine the impact on the final summary estimates. After a meta-analysis of the FFQs' validity correlation coefficients of the included studies, this study showed that the range (median) of the validity coefficients of the 24HRs as reference methods was 0.220-0.770 (0.416), and for the FRs, it was 0.173-0.735 (0.373), which indicated that FFQs were suitable to assess the overall dietary intake in nutritional epidemiological studies. The results of the subgroup analysis showed that the number of administrations of the reference method, administration mode, number of items, reference periods, sample size, and gender mainly affected the validity correlation of FFQs.Supplemental data for this article is available online at https://doi.org/10.1080/10408398.2021.1966737 .

Different types of screen time, physical activity, and incident dementia, Parkinson's disease, depression and multimorbidity status.

BACKGROUND: Several previous studies have shown that excessive screen time is associated with an increased prevalence of dementia, Parkinson's disease (PD), and depression. However, the results have been inconsistent. This study aimed to prospectively investigate the association between different types of screen time and brain structure, as well as the incidence of dementia, Parkinson's disease, depression, and their multimorbidity status. METHODS: We included 473,184 participants initially free of dementia, PD, and depression from UK Biobank, as well as 39,652 participants who had magnetic resonance imaging (MRI) data. Screen time exposure variables including TV viewing and computer using were self-reported by participants. Cox proportional hazards regression models were used to estimate the association between different types of screen time and the incidence of dementia, Parkinson's disease, depression, and their multimorbidity status. Multiple linear regression models were used to assess the linear relationship between different types of screen time and MRI biomarkers in a subgroup of participants. RESULTS: During the follow up, 6,096, 3,061, and 23,700 participants first incident cases of dementia, PD, and depression respectively. For moderate versus the lowest computer uses, the adjusted HRs (95% CIs) were 0.68 (0.64, 0.72) for dementia, 0.86 (0.79, 0.93) for PD, 0.85 (0.83, 0.88) for depression, 0.64 (0.55, 0.74) for dementia and depression multimorbidity, and 0.59 (0.47, 0.74) for PD and depression multimorbidity. The multivariable HRs (95% CIs) for the highest versus the lowest group of TV viewing time were 1.28 (1.17, 1.39) for dementia, 1.16 (1.03, 1.29) for PD, 1.35 (1.29, 1.40) for depression, 1.49 (1.21, 1.84) for dementia and depression multimorbidity, and 1.44 (1.05, 1.97) for PD and depression multimorbidity. Moderate computer using time was negatively associated with white matter hyperintensity volume (ß = -0.042; 95% CI -0.067, -0.017), and positively associated with hippocampal volume (ß = 0.059; 95% CI 0.034, 0.084). Participants with the highest TV viewing time were negatively associated with hippocampal volume (ß = -0.067; 95% CI -0.094, -0.041). In isotemporal substitution analyses, substitution of TV viewing or computer using by equal time of different types of PA was associated with a lower risk of all three diseases, with strenuous sports showing the strongest benefit. CONCLUSION: We found that moderate computer use was associated with a reduced risk of dementia, PD, depression and their multimorbidity status, while increased TV watching was associated with a higher risk of these disease. Notably, different screen time may affect the risk of developing diseases by influencing brain structures. Replacing different types of screen time with daily-life PA or structured exercise is associated with lower dementia, PD, and depression risk.

Relationship between dietary pattern and depressive symptoms: an international multicohort study.

BACKGROUND: Several previous studies have shown that dietary patterns are associated with the incidence of depressive symptoms. However, the results have been inconsistent. This study aimed to prospectively investigate the association between dietary patterns and the risk of depressive symptoms in two large cohort studies. METHODS: The Tianjin Chronic Low-grade Systemic Inflammation and Health (TCLSIH) cohort study included a total of 7,094 participants living in Tianjin, China from 2013 to 2019, and the UK Biobank cohort study includes 96,810 participants who were recruited from 22 assessment centers across the UK taken between 2006 and 2010. All participants were free of a history of cardiovascular disease (CVD), cancer, and depressive symptoms at baseline. Dietary patterns at baseline were identified with factor analysis based on responses to a validated food frequency questionnaire in TCLSIH or Oxford WebQ in UK Biobank. Depressive symptoms were evaluated using the Chinese version of the Zung Self-Rating Depression Scale (SDS) in TCLSIH or hospital inpatient records in UK Biobank. Cox proportional hazards regression models were used to estimate the association between dietary patterns and depressive symptoms. RESULTS: A total of 989, and 1,303 participants developed depressive symptoms during 17,410 and 709,931 person-years of follow-up. After adjusting for several potential confounders, the multivariable HRs (95% CIs) of the depressive symptoms were 0.71 (0.57, 0.88) for traditional Chinese dietary pattern, 1.29 (1.07, 1.55) for processed animal offal included animal food dietary pattern, and 1.22 (1.02, 1.46) for sugar rich dietary pattern in TCLSIH (all Q4 vs Q1). In the UK Biobank, the HRs (95% CIs) of depressive symptoms were 1.39 (1.16, 1.68) for processed food dietary pattern (Q4 vs Q1), 0.90 (0.77, 1.00) for healthy dietary pattern (Q3 vs Q1), and 0.89 (0.75, 1.05) for meat dietary pattern (Q4 vs Q1) in the final adjusted model. CONCLUSION: Dietary patterns rich in processed foods were associated with a higher risk of depressive symptoms, and following a traditional Chinese dietary pattern or healthy dietary pattern was associated with a lower risk of depressive symptoms, whereas meat dietary pattern was not associated.

Organ meat consumption and risk of non-alcoholic fatty liver disease: the Tianjin Chronic Low-grade Systemic Inflammation and Health cohort study.

Prospective cohort studies linking organ meat consumption and non-alcoholic fatty liver disease (NAFLD) are limited, especially in Asian populations. This study aimed to prospectively investigate the association between organ meat consumption and risk of NAFLD in a general Chinese adult population. This prospective cohort study included a total of 15 568 adults who were free of liver disease, CVD and cancer at baseline. Dietary information was collected at baseline using a validated FFQ. NAFLD was diagnosed by abdominal ultrasound after excluding other causes related to chronic liver disease. Cox proportional regression models were used to assess the association between organ meat consumption and risk of NAFLD. During a median of 4·2 years of follow-up, we identified 3604 incident NAFLD cases. After adjusting for demographic characteristics, lifestyle factors, vegetable, fruit, soft drink, seafood and red meat consumption, the multivariable hazard ratios (95 % CI) for incident NAFLD across consumption of organ meat were 1·00 (reference) for almost never, 1·04 (0·94, 1·15) for tertile 1, 1·08 (0·99, 1·19) for tertile 2 and 1·11 (1·01, 1·22) for tertile 3, respectively (Pfor trend < 0·05). Such association did not differ substantially in the sensitivity analysis. Our study indicates that organ meat consumption was related to a modestly higher risk of NAFLD among Chinese adults. Further investigations are needed to confirm this finding.

Milk intake, lactase persistence genotype, plasma proteins and risks of cardiovascular events in the Swedish general population.

To investigate the associations of milk intake (non-fermented and fermented milk), lactase persistence (LCT-13910 C/T) genotype (a proxy for long-term non-fermented milk intake), and gene-milk interaction with risks of cardiovascular disease (CVD) and CVD mortality. Also, to identify the CVD-related plasma proteins and lipoprotein subfractions associated with milk intake and LCT-13910 C/T genotype. The prospective cohort study included 20,499 participants who were followed up for a mean of 21 years. Dietary intake was assessed using a modified diet history method. Cox proportional hazards regression models were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs). After adjusting for sociodemographic and lifestyle factors, higher non-fermented milk intake was significantly associated with higher risks of coronary heart disease (CHD) and CVD mortality, whereas higher fermented milk intake was significantly associated with lower risks of CVD and CVD mortality. The genotype associated with higher milk (mainly non-fermented) intake was positively associated with CHD (CT/TT vs. CC HR = 1.27; 95% CI: 1.03, 1.55) and CVD (HR = 1.22; 95% CI: 1.05, 1.42). The association between rs4988235 genotype and CVD mortality was stronger in participants with higher milk intake than among participants with lower intake (P for interaction < 0.05). Furthermore, leptin, HDL, and large HDL were associated with non-fermented milk intake, while no plasma proteins or lipoprotein subfractions associated with fermented milk intake and LCT-13910 C/T genotype were identified. In conclusion, non-fermented milk intake was associated with higher risks of CHD and CVD mortality, as well as leptin and HDL, whereas fermented milk intake was associated with lower risks of CVD and CVD mortality.

Anti-inflammatory dietary pattern is associated with handgrip strength decline: a prospective cohort study.

BACKGROUND AND AIMS: Skeletal muscle strength decline is strongly associated with inflammation. While previous research has confirmed that diet can modulate chronic inflammation, little is known about the relationship between an anti-inflammatory dietary pattern and muscle strength. The aim of this study was to investigate the association between an anti-inflammatory dietary pattern and handgrip strength decline in a large-scale adult population. METHODS: During a median follow-up period of 3 years, this prospective cohort study was carried out between 2013 and 2018 and included 2840 participants (60.2% men). Dietary intake was assessed using a validated food frequency questionnaire at baseline, and handgrip strength was measured annually with a handheld digital dynamometer. The dietary inflammatory potential score was calculated using white blood cell count and hypersensitive C-reactive protein as inflammatory markers, and was determined using reduced rank regression and stepwise linear regression. Multivariable linear regression models were used to estimate the association between the dietary inflammatory potential score and the annualized change in handgrip strength and weight-adjusted handgrip strength. RESULTS: After adjusting for multiple confounding factors, significant associations between the dietary inflammatory potential score and the annualized change in handgrip strength and weight-adjusted handgrip strength in women, with values of - 0.8322 kg (95% confidence interval [CI] - 1.6405, - 0.0238; P < 0.0408) and - 0.0171 kg/kg (95% CI - 0.0310, - 0.0032; P < 0.0158), respectively. However, no significant differences were observed between the dietary inflammatory potential score and the annualized change in handgrip strength and weight-adjusted handgrip strength in men, with values of 0.1578 kg (95% CI - 0.6107, 0.9261; P < 0.6874) and - 0.0014 kg/kg (95% CI - 0.0115, 0.0088; P < 0.7933), respectively. CONCLUSION: Our findings suggest that consuming an anti-inflammatory dietary pattern could be a protective strategy against the decline in skeletal muscle strength in women.

Association of low-dose ionising radiation with site-specific solid cancers: Chinese medical X-ray workers cohort study, 1950-1995.

BACKGROUND: The dose-response relationship between cancers and protracted low-dose rate exposure to ionising radiation is still uncertain. This study aims to estimate quantified relationships between low-dose radiation exposures and site-specific solid cancers among Chinese medical X-ray workers. METHODS: This cohort study included 27 011 individuals who were employed at major hospitals in 24 provinces in China from 1950 to 1980 and had been exposed to X-ray equipment, and a control group of 25 782 physicians who were not exposed to X-ray equipment. Person-years of follow-up were calculated from the year of employment to the date of the first diagnosis of cancer or the end of follow-up, whichever occurred first. All cancers were obtained from medical records during 1950-1995. This study used Poisson regression models to estimate the excess relative risk (ERR) and excess absolute risk (EAR) for incidence of site-specific solid cancers associated with cumulative dose. RESULTS: 1643 solid cancers were developed, the most common being lung, liver and stomach cancer. Among X-ray workers, the average cumulative colon dose was 0.084 Gy. We found a positive relationship between cumulative organ-specific dose and liver (ERR/Gy=1.48; 95% CI 0.40 to 2.83), oesophagus (ERR/Gy=18.1; 95% CI 6.25 to 39.1), thyroid (ERR/Gy=2.96; 95% CI 0.44 to 8.18) and non-melanoma skin cancers (ERR/Gy=7.96; 95% CI 2.13 to 23.12). We found no significant relationship between cumulative organ-specific doses and other cancers. Moreover, the results showed a statistically significant EAR for liver, stomach, breast cancer (female), thyroid and non-melanoma skin cancers. CONCLUSIONS: These findings provided more useful insights into the risks of site-specific cancers from protracted low-dose rate exposure to ionising radiation.

Quality of plant-based diet and the risk of dementia and depression among middle-aged and older population.

BACKGROUND: several previous studies have shown the importance of the plant-based diets. However, not all plant-based foods are necessarily beneficial for dementia or depression. This study aimed to prospectively investigate the association between an overall plant-based diet and the incidence of dementia or depression. METHODS: we included 180,532 participants from the UK Biobank cohort study, free of a history of cardiovascular disease, cancer, dementia and depression at baseline. We calculated an overall plant-based diet index (PDI), a healthful plant-based diet index (hPDI) and an unhealthful plant-based diet index (uPDI) based on 17 major food groups from Oxford WebQ. Dementia and depression were evaluated using hospital inpatient records in UK Biobank. Cox proportional hazards regression models were used to estimate the association between PDIs and the incidence of dementia or depression. RESULTS: during the follow-up, 1,428 dementia cases and 6,781 depression cases were documented. After adjusting for several potential confounders and comparing the highest with the lowest quintile of three plant-based diet indices, the multivariable hazard ratios (95% confidence intervals (CIs)) for dementia were 1.03 (0.87, 1.23) for PDI, 0.82 (0.68, 0.98) for hPDI and 1.29 (1.08, 1.53) for uPDI. The hazard ratios (95% CI) for depression were 1.06 (0.98, 1.14) for PDI, 0.92 (0.85, 0.99) for hPDI and 1.15 (1.07, 1.24) for uPDI. CONCLUSION: a plant-based diet rich in healthier plant foods was associated with a lower risk of dementia and depression, whereas a plant-based diet that emphasises less-healthy plant foods was associated with a higher risk of dementia and depression.

Genetic risk, muscle strength and risk of incident major depressive disorder: results from the UK Biobank.

BACKGROUND: Genetic factors and muscle strength both contribute to the risk of major depressive disorder (MDD), but whether high muscle strength can offset the risk of MDD with different genetic risk is unknown. This study aims to examine whether a higher muscle strength is associated with lower risk of MDD regardless of genetic risk among middle-aged and older adults. METHODS: This cohort study obtained data from the UK Biobank, which includes 345,621 individuals aged 40-69 years (mean (standard deviation): 56.7 (7.99) years) without baseline MDD. Polygenic risk score for MDD was categorised as low, intermediate or high. The mean of the right- and left-hand grip strength values was used in the analysis and was divided into three categories. RESULTS: 9,753 individuals developed MDD within 2,752,461 person-years of follow-up. The multivariable adjusted hazard ratios (HRs) (95% confidence intervals (CIs)) of MDD across increased grip strength categories were 1.00, 0.72 (0.68-0.75) and 0.56 (0.53-0.59) (P for trend <0.0001). The HRs (95% CIs) of incident MDD across the genetic risk categories were 1.00, 1.11 (1.05-1.17) and 1.20 (1.13-1.28) (P for trend <0.0001); 4.07% of individuals with a high genetic risk and low grip strength developed MDD, and 1.72% of individuals with a low genetic risk and high grip strength developed MDD, with an HR (95% CI) of 0.44 (0.39-0.50). CONCLUSIONS: Both muscle strength and genetic risk were significantly associated with incident MDD. A higher muscle strength was associated with a lower MDD risk among individuals with a high genetic risk. Improving muscle strength should be encouraged for all individuals, including individuals with high genetic risk for MDD.

Association between soft drink consumption and carotid atherosclerosis in a large-scale adult population: The TCLSIH cohort study.

BACKGROUND AND AIMS: Carotid atherosclerosis indicates an increased risk for cardiac-cerebral vascular disease. Given the pattern of consumption in China, sugar-sweetened beverage is the main type of soft drink consumed. As soft drinks contain a high amount of fructose, they may be a risk factor of carotid atherosclerosis. A prospective cohort study was conducted to investigate the association between soft drink consumption and the incidence of carotid atherosclerosis in a Chinese adult population. METHODS AND RESULTS: A total of 3828 participants (men: 2007 and women: 1821) were included. Carotid atherosclerosis was measured by using ultrasonography and was defined by increased carotid intima-media thickness and/or carotid plaques. Soft drink consumption was assessed using a validated food frequency questionnaire. Cox proportional hazards regression analysis was used to assess the association of soft drink consumption categories with the incidence of carotid atherosclerosis. During a mean follow-up of 3.20 years, 1009 individuals of the 3828 eligible participants developed carotid atherosclerosis. After adjusting for potential confounding factors, we compared the higher levels to the lowest level of soft drink consumption in women, and we estimated the multivariable hazard ratios and 95% confidence intervals of incident carotid atherosclerosis to be 1.09 (0.80, 1.50), and 1.56 (1.14, 2.13) (P for trend <0.05). However, there was no significant association between soft drink consumption and the incidence of carotid atherosclerosis in men or total population. CONCLUSION: The result indicated that soft drink consumption was associated with a higher incidence of carotid atherosclerosis in women. TRIAL REGISTERED: UMIN Clinical Trials Registry. TRIAL REGISTRATION NUMBER: UMIN000027174. TRIAL REGISTRATION WEBSITE: https://upload.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000031137.

Adherence to a vegetable dietary pattern attenuates the risk of non-alcoholic fatty liver disease in incident type 2 diabetes: The TCLSIH cohort study.

BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) is a strong risk factor for type 2 diabetes. However, no study has investigated whether dietary intake can modify this effect. Therefore, we aimed to investigate the effect of dietary pattern modification on the association between NAFLD and type 2 diabetes. METHODS: A large prospective cohort study (n = 24,602) was conducted in China. NAFLD was diagnosed using liver ultrasonography considering alcohol consumption. Dietary data were assessed using a validated self-administered food frequency questionnaire. Cox proportional hazards regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS: Following a 93,873 person-year follow-up, 787 (3.20%) participants developed type 2 diabetes. In a multivariable adjusted model, compared with participants without NAFLD, the HR (95% CI) of incident type 2 diabetes for NAFLD patients was 3.04 (2.51, 3.68). On subgroup analyses, the adjusted HRs (95% CIs) of incident type 2 diabetes for NAFLD patients with low (≤median score) and high (>median score) vegetable pattern intakes were 4.08 (3.05, 5.46) and 2.38 (1.85, 3.07) (p for interaction <0.01), respectively. Higher vegetable intake was also found to attenuate the risk effect of phenotype groups of NAFLD on incident type 2 diabetes, especially in the lean NAFLD group. CONCLUSIONS: The present study demonstrated that NAFLD is a strong risk factor for type 2 diabetes in the Chinese population. Notably, adherence to a dietary pattern rich in vegetables can attenuate this risk, especially in lean NAFLD patients.

Risk prediction models for incident type 2 diabetes in Chinese people with intermediate hyperglycemia: a systematic literature review and external validation study.

BACKGROUND: People with intermediate hyperglycemia (IH), including impaired fasting glucose and/or impaired glucose tolerance, are at higher risk of developing type 2 diabetes (T2D) than those with normoglycemia. We aimed to evaluate the performance of published T2D risk prediction models in Chinese people with IH to inform them about the choice of primary diabetes prevention measures. METHODS: A systematic literature search was conducted to identify Asian-derived T2D risk prediction models, which were eligible if they were built on a prospective cohort of Asian adults without diabetes at baseline and utilized routinely-available variables to predict future risk of T2D. These Asian-derived and five prespecified non-Asian derived T2D risk prediction models were divided into BASIC (clinical variables only) and EXTENDED (plus laboratory variables) versions, with validation performed on them in three prospective Chinese IH cohorts: ACE (n = 3241), Luzhou (n = 1333), and TCLSIH (n = 1702). Model performance was assessed in terms of discrimination (C-statistic) and calibration (Hosmer-Lemeshow test). RESULTS: Forty-four Asian and five non-Asian studies comprising 21 BASIC and 46 EXTENDED T2D risk prediction models for validation were identified. The majority were at high (n = 43, 87.8%) or unclear (n = 3, 6.1%) risk of bias, while only three studies (6.1%) were scored at low risk of bias. BASIC models showed poor-to-moderate discrimination with C-statistics 0.52-0.60, 0.50-0.59, and 0.50-0.64 in the ACE, Luzhou, and TCLSIH cohorts respectively. EXTENDED models showed poor-to-acceptable discrimination with C-statistics 0.54-0.73, 0.52-0.67, and 0.59-0.78 respectively. Fifteen BASIC and 40 EXTENDED models showed poor calibration (P < 0.05), overpredicting or underestimating the observed diabetes risk. Most recalibrated models showed improved calibration but modestly-to-severely overestimated diabetes risk in the three cohorts. The NAVIGATOR model showed the best discrimination in the three cohorts but had poor calibration (P < 0.05). CONCLUSIONS: In Chinese people with IH, previously published BASIC models to predict T2D did not exhibit good discrimination or calibration. Several EXTENDED models performed better, but a robust Chinese T2D risk prediction tool in people with IH remains a major unmet need.

Dietary patterns and sarcopenia in elderly adults: the Tianjin Chronic Low-grade Systemic Inflammation and Health (TCLSIH) study.

Sarcopenia is a core contributor to several health consequences, including falls, fractures, physical limitations and disability. The pathophysiological processes of sarcopenia may be counteracted with the proper diet, delaying sarcopenia onset. Dietary pattern analysis is a whole diet approach used to investigate the relationship between diet and sarcopenia. Here, we aimed to investigate this relationship in an elderly Chinese population. A cross-sectional study with 2423 participants aged more than 60 years was performed. Sarcopenia was defined based on the guidelines of the Asian Working Group for Sarcopenia, composed of low muscle mass plus low grip strength and/or low gait speed. Dietary data were collected using a FFQ that included questions on 100 food items along with their specified serving sizes. Three dietary patterns were derived by factor analysis: sweet pattern, vegetable pattern and animal food pattern. The prevalence of sarcopenia was 16·1 %. The higher vegetable pattern score and animal food pattern score were related to lower prevalence of sarcopenia (Ptrend = 0·006 and < 0·001, respectively); the multivariate-adjusted OR of the prevalence of sarcopenia in the highest v. lowest quartiles were 0·54 (95 % CI 0·34, 0·86) and 0·50 (95 % CI 0·33, 0·74), separately. The sweet pattern score was not significantly related to the prevalence of sarcopenia. The present study showed that vegetable pattern and animal food pattern were related to a lower prevalence of sarcopenia in Chinese older adults. Further studies are required to clarify these findings.