Genome-wide association study of cardiometabolic multimorbidity in the UK Biobank.

Considering the high prevalence and poor prognosis of cardiometabolic multimorbidity (CMM), identifying causal factors and actively implementing preventive measures is crucial. However, Mendelian randomization (MR), a key method for identifying the causal factors of CMM, requires knowledge of the effects of SNPs on CMM, which remain unknown. We first analyzed the genetic overlap of single cardiometabolic diseases (CMDs) using the latest genome-wide association study (GWAS) for evidential support and comparison. We observed strong positive genetic correlations and shared loci among all CMDs. Further, GWAS and post-GWAS analyses of CMM were performed in 407 949 European ancestry individuals from the UK Biobank. Eleven loci and 12 lead SNPs were identified. By comparison, we found these SNPs were a subset of SNPs associated with CMDs, including both shared and non-shared SNPs. Then, the polygenic risk score model predicted the risk of CMM (C-index = 0.62) and we identified candidate genes related to lipid metabolism and immune function. Finally, as an example, two-sample MR analysis based on the GWAS revealed potential causal effects of total cholesterol, serum urate, body mass index, and smoking on CMM. These results provide a basis for future MR research and inspire future studies on the mechanism and prevention of CMM.

Associations between consumption of three types of beverages and risk of cardiometabolic multimorbidity in UK Biobank participants: a prospective cohort study.

BACKGROUND: Although the association between beverages and a single cardiometabolic disease has been well studied, their role in disease progression from the single cardiometabolic disease state to cardiometabolic multimorbidity (CMM) state remains unclear. This study examined the associations between three types of beverages: sugar-sweetened beverages (SSBs), artificially sweetened beverages (ASBs), and pure fruit/vegetable juices, and the incidence of CMM in patients with a single cardiometabolic disease. METHODS: Our analysis included 37,994 participants from the UK Biobank who completed at least one dietary questionnaire and were diagnosed with only one cardiometabolic disease at the time of recruitment. Competing risk models were used to examine the association between the three types of beverages and incidence of CMM. We conducted analysis both in patients with any single cardiometabolic disease and in patients with specific cardiometabolic disease. RESULTS: During a median follow-up of 9.1 years (interquartile range [IQR] 9.0-9.8), a total of 6399 participants developed CMM. The consumption of SSBs and ASBs (>1 serving per day) was associated with a higher risk of CMM (SSBs: hazard ratio [HR] 1.19, 95% confidence interval [95% CI] 1.08-1.31; ASBs: HR 1.15, 95% CI 1.04-1.27). Intake of pure fruit/vegetable juices was inversely associated with the incidence of CMM (0-1 serving per day: HR 0.90, 95% CI 0.85-0.94; >1 serving per day: HR 0.90, 95% CI 0.81-0.99). However, the association of the high-level consumption of pure fruit/vegetable juices (>1 serving per day) was not statistically significant after correcting for multiple testing. In the analysis of patients with specific cardiometabolic diseases, positive associations were observed in patients with hypertension for SSBs consumption, while inverse associations persisted in patients with cardiovascular disease (coronary heart disease or stroke) and in hypertensive patients for pure fruit/vegetable juice consumption. CONCLUSIONS: Consuming >1 serving of SSBs and ASBs per day was associated with a higher risk of CMM in patients with a single cardiometabolic disease. In contrast, intake of pure fruit/vegetable juices was inversely associated with the risk of CMM. Our findings highlight the need to limit the use of SSBs and ASBs in patients with a single cardiometabolic disease.

Association between healthy lifestyle and the occurrence of cardiometabolic multimorbidity in hypertensive patients: a prospective cohort study of UK Biobank.

BACKGROUND: Cardiometabolic multimorbidity (CMM) is becoming increasingly common in patients with hypertension, and it is well established that healthy lifestyle plays a key role in the prevention of hypertension. However, the association between combined lifestyle factors and CMM in patients with hypertension is uncertain. METHODS: This prospective analysis included the data (obtained from the UK biobank) of participants with hypertension who did not have coronary heart disease (CHD), stroke, or diabetes. The outcome was the occurrence of CMM, defined as ≥ 1 disease of CHD, stroke, and diabetes that occurred in participants with hypertension. Four lifestyle factors (smoking, alcohol consumption, diet, and physical activity) were assessed using a weighted healthy lifestyle score, and participants were divided into four groups: the very unhealthy, unhealthy, healthy, and very healthy groups. The flexible parameter Royston-Parmar proportional hazard model was used to estimate hazard ratios (HRs) between lifestyles and CMM, as well as the difference in CMM-free life expectancy. RESULTS: During a median follow-up of 12.2 years, 9812 (18.4%) of the 53,397 hypertensive patients occurred CMM. Compared with the very unhealthy group, the very healthy group had a 41% reduction in the risk for CMM in hypertensive patients and a 32-50% reduction in the risk for specific cardiometabolic diseases such as CHD, stroke, and diabetes. For each lifestyle factor, non-smoking had the greatest protective effect against CMM (HR: 0.64, 95% confidence interval (CI) 0.60-0.68). A lifestyle combining multiple healthy factors extended CMM-free life expectancy (e.g., six years longer at age 45 years for participants in the very healthy group). CONCLUSIONS: Combined healthy lifestyle factors were associated with a lower risk for CMM in hypertensive patients. This suggests that combined healthy lifestyle should be supported to decrease disease burden.

Associations of baseline use of fish oil with progression of cardiometabolic multimorbidity and mortality among patients with hypertension: a prospective study of UK Biobank.

PURPOSE: The role of fish oil in the prognosis of hypertensive patients is unknown. This study investigated the associations of fish oil supplementation with the progression of cardiometabolic multimorbidity (CMM) and mortality among patients with hypertension. METHODS: Based on UK Biobank, we enrolled participants with hypertension and free of other cardiometabolic diseases. The exposure was baseline use of fish oil derived from questionnaires at baseline. The primary outcomes were the incidence of CMM and all-cause mortality. Competing risk models and flexible parametric proportion-hazards models were fitted to assess the adjusted hazard ratios (HRs) for the risk of CMM and mortality outcomes, respectively. RESULTS: Among 81,579 participants involved [50.37%, men; mean age, 59.38 years (standard deviation, 7.23 years)], 15,990 CMM events and 6456 all-cause deaths were reported (median follow-up, 12.23 years). In multivariable-adjusted models, baseline use of fish oil was associated with 8% lower risk of CMM [95% confidence interval (95% CI) 0.89-0.96, P < 0.001] and 10% lower risk of all-cause mortality (95% CI 0.85-0.95, P < 0.001). CONCLUSION: In individuals with hypertension, baseline use of fish oil was associated with a reduced risk of CMM and all-cause mortality, and further clinical trials are needed to prove this hypothesis.

Use of fish oil and mortality of patients with cardiometabolic multimorbidity: A prospective study of UK biobank.

BACKGROUND AND AIMS: Cardiometabolic multimorbidity (CMM) has risen as a global issue of public health, with an in-creasing prevalence and more severe clinical prognosis. This study aimed to estimate the association between use of fish oil and mortality among patients with CMM. METHODS AND RESULTS: In this prospective study based on UK Biobank, participants with ≥2 of cardiometabolic diseases (CMDs, including coronary heart disease [CHD], diabetes, hypertension, and stroke in this study) at recruitment were included. Use of fish oil was derived from touchscreen questionnaires at baseline. All-cause and cardiovascular mortality were accessed via electronic health-related records. Kaplan-Meier curves and flexible parametric Royston-Parmar proportion-hazard models were fitted to assess the as-sociations of fish-oil use with all-cause, cardiovascular mortality, and related life expectancy alterations. Among 30 068 participants from UK Biobank (67.9% men; mean age 61.75 years), 5357 deaths were reported during 12.03 years of follow-up. For patients with CMM, use of fish oil was associated with a 17% lower risk of all-cause mortality (95% confidence interval [95% CI] 0.78-0.88, P < 0.001), and 19% lower risk of cardiovascular mortality (95% CI 0.72-0.90, P < 0.001) in multivariable-adjusted models. At 45 years old, using fish oil was associated with 1.66 years of life expectancy gained. CONCLUSION: Among patients with CMM, use of fish oil was associated with a significantly reduced risk of all-cause, cardiovascular mortality, and prolonged life expectancy.

Disability-adjusted life years associated with population ageing in China, 1990-2017.

BACKGROUND: The Chinese population has aged significantly in the last few decades. Comprehensive health losses including both fatal and non-fatal health outcomes associated with ageing in China have not been detailed. METHODS: Based on freely accessible disability adjusted life years (DALYs) estimated by the Global Burden of Diseases (GBD) 2017, we adopted a robust decomposition method that ascribes changes in DALYs in any given country across two time points to changes resulting from three sources: population size, age structure, and age-specific DALYs rate per 100,000 population. Using the method, we calculated DALYs associated with population ageing in China from 1990 to 2017 and examined the counteraction between the effects of DALYs rate change and population ageing. This method extends previous work through attributing the change in DALYs to the three sources. RESULTS: Population ageing was associated with 92.8 million DALYs between 1990 and 2017 in China, of which 65.8% (61.1 million) were years of life lost (YLLs). Males had comparatively more DALYs associated with population ageing than females in the study period. The five leading causes of DALYs associated with population ageing between 1990 and 2017 were stroke (23.6 million), chronic obstructive pulmonary disease (COPD) (18.3 million), ischemic heart disease (13.0 million), tracheal, bronchus, and lung cancer (6.1 million) and liver cancer (5.0 million). Between 1990 and 2017, changes in DALYs associated with age-specific DALY rate reductions far exceeded those related to population ageing (- 196.2 million versus 92.8 million); 57.5% (- 112.8 million) of DALYs were caused by decreases in rates attributed to 84 modifiable risk factors. CONCLUSION: Population ageing was associated with growing health loss in China from 1990 to 2017. Despite the recent progress in alleviating health loss associated with population ageing, the government should encourage scientific research on effective and affordable prevention and control strategies and should consider investment in resources to implement strategies nationwide to address the future challenge of population ageing.

Road traffic injury mortality and morbidity by country development status, 2011-2017.

PURPOSE: This research examined road traffic injury mortality and morbidity disparities across of country development status, and discussed the possibility of reducing country disparities by various actions to accelerate the pace of achieving Sustainable Development Goals target 3.6 - to halve the number of global deaths and injuries from road traffic accidents by 2020. METHODS: Data for road traffic mortality, morbidity, and socio-demographic index (SDI) were extracted by country from the estimates of the Global Burden of Disease study, and the implementation of the three types of national actions (legislation, prioritized vehicle safety standards, and trauma-related post-crash care service) were extracted from the Global Status Report on Road Safety by World Health Organization. We fitted joinpoint regression analysis to identify and quantify the significant rate changes from 2011 to 2017. RESULTS: Age-adjusted road traffic mortality decreased substantially for all the five SDI categories from 2011 to 2017 (by 7.52%-16.08%). Age-adjusted road traffic mortality decreased significantly as SDI increased in the study time period, while age-adjusted morbidity generally increased as SDI increased. Subgroup analysis by road user yielded similar results, but with two major differences during the study period of 2011 to 2017: (1) pedestrians in the high SDI countries experienced the lowest mortality (1.68-1.90 per 100,000 population) and morbidity (110.45-112.72 per 100,000 population for incidence and 487.48-491.24 per 100,000 population for prevalence), and (2) motor vehicle occupants in the high SDI countries had the lowest mortality (4.07-4.50 per 100,000 population) but the highest morbidity (428.74-467.78 per 100,000 population for incidence and 1025.70-1116.60 per 100,000 population for prevalence). Implementation of the three types of national actions remained nearly unchanged in all five SDI categories from 2011 to 2017 and was consistently stronger in the higher SDI countries than in the lower SDI countries. Lower income nations comprise the heaviest burden of global road traffic injuries and deaths. CONCLUSION: Global road traffic deaths would decrease substantially if the large mortality disparities across country development status were reduced through full implementation of proven national actions including legislation and law enforcement, prioritized vehicle safety standards and trauma-related post-crash care services.

Population ageing and mortality during 1990-2017: A global decomposition analysis.

BACKGROUND: As the number of older people globally increases, health systems need to be reformed to meet the growing need for medical resources. A few previous studies reported varying health impacts of population ageing, but they focused only on limited countries and diseases. We comprehensively quantify the impact of population ageing on mortality for 195 countries/territories and 169 causes of death. METHODS AND FINDINGS: Using data from the Global Burden of Disease Study 2017 (GBD 2017), this study derived the total number of deaths and population size for each year from 1990 to 2017. A decomposition method was used to attribute changes in total deaths to population growth, population ageing, and mortality change between 1990 and each subsequent year from 1991 through 2017, for 195 countries/territories and for countries grouped by World Bank economic development level. For countries with increases in deaths related to population ageing, we calculated the ratio of deaths attributed to mortality change to those attributed to population ageing. The proportion of people aged 65 years and older increased globally from 6.1% to 8.8%, and the number of global deaths increased by 9 million, between 1990 and 2017. Compared to 1990, 12 million additional global deaths in 2017 were associated with population ageing, corresponding to 27.9% of total global deaths. Population ageing was associated with increases in deaths in high-, upper-middle-, and lower-middle-income countries but not in low-income countries. The proportions of deaths attributed to population ageing in 195 countries/territories ranged from -43.9% to 117.4% for males and -30.1% to 153.5% for females. The 2 largest contributions of population ageing to disease-specific deaths globally between 1990 and 2017 were for ischemic heart disease (3.2 million) and stroke (2.2 million). Population ageing was related to increases in deaths in 152 countries for males and 159 countries for females, and decreases in deaths in 43 countries for males and 36 countries for females, between 1990 and 2017. The decreases in deaths attributed to mortality change from 1990 to 2017 were more than the increases in deaths related to population ageing for the whole world, as well as in 55.3% (84/152) of countries for males and 47.8% (76/159) of countries for females where population ageing was associated with increased death burden. As the GBD 2017 does not provide variances in the estimated death numbers, we were not able to quantify uncertainty in our attribution estimates. CONCLUSIONS: In this study, we found that population ageing was associated with substantial changes in numbers of deaths between 1990 and 2017, but the attributed proportion of deaths varied widely across country income levels, countries, and causes of death. Specific preventive and therapeutic techniques should be implemented in different countries and territories to address the growing health needs related to population ageing, especially targeting the diseases associated with the largest increase in number of deaths in the elderly.

Unintentional drowning mortality in China, 2006-2013.

BACKGROUND: Epidemiological characteristics and recent trends in unintentional drowning at the national level in China are unreported. METHODS: Using data from the Disease Surveillance Points system, the overall, sex-, location-, age- and cause-specific age-standardised mortality from unintentional drowning in China were calculated and compared. Linear regression was used to examine the significance of mortality trend changes over time. RESULTS: The average mortality was 4.05 per 100 000 persons between 2006 and 2013. Men and rural residents had much higher drowning mortality rates than women and urban residents at all time points. Drowning following a fall into natural water was the most common mechanism (46% of all drowning deaths). The overall drowning mortality rate remained stable for all subgroups except for distinct decreases in urban residents, children aged 5-9 years, and other specified and unspecified drowning (-10%, -36% and -25%, respectively). CONCLUSIONS: The overall drowning mortality rate remained high and stable in China between 2006 and 2013. Effective prevention measures like removing or covering water hazards, wearing personal floatation devices, supervision of children, and teaching survival swimming and resuscitation skills should be implemented nationwide.

[Disease burden among people aged 70 years or older in countries with different developmental levels from 1990 to 2016].

OBJECTIVE: To examine differences in burden of disease among people aged ≥70 years old in countries with different developmental levels from 1990 to 2016. 
 Methods: The sociodemographic index (SDI) of global burden of disease (GBD) was used to divide 195 countries into five developmental levels: high, high middle, middle, low middle and low. The results of the Global Burden of Diseases Study 2016 (GBD 2016) were extracted to examine disability-adjusted life years (DALY) and the health loss from the top 10 diseases and risk factors among the people aged ≥70 years old in countries with different SDIs. 
 Results: Between 1990 and 2016, the age-standardized DALY rate among people aged ≥70 years old in countries with different SDIs all showed a downward trend. Different decreases in DALY rate in over-seventy old people were observed across countries with different SDI levels: -23.9% in high SDI, -21.3% in high-middle SDI, -23.4% in middle SDI, -18.8% in low-middle SDI and -16.3% in low SDI. In 1990, the age-standardized DALY rate among people aged ≥70 years old in low and low middle SDI countries was 1.67 and 1.49 times of that in high SDI countries; and the gaps rose to 1.83 and 1.59 times in 2016. The DALY rate of the aged people remained remarkably higher in low middle and low SDI countries in 2016, and the gap widened compared with that in 1990. The reduction of age-standardized DALY rate was mainly due to the decrease of years of life lost (YLL). In 2016, low SDI and low-middle SDI countries suffered much higher burden of disease from infectious diseases and chronic non-communicable diseases. Analysis of leading causes and risk factors of DALY showed significant disparities across different SDI countries; burden of disease caused by environmental pollution and adverse health conditions was much higher in the low SDI and lower-middle SDI countries than that in the other countries.
 Conclusion: During 1990-2016, the burden of disease in countries of all 5 SDI levels declined. But the reductions in the developing countries were less than those in the developed countries, widening health disparities for the elderly between low and high SDI countries. International organizations and individual governments should take measures to narrow health gaps among old adults across countries with different developmental levels.

Poisoning deaths in China, 2006-2016.

OBJECTIVE: To provide a comprehensive overview of poisoning mortality patterns in China. METHODS: Using mortality data from the Chinese national disease surveillance points system, we examined trends in poisoning mortality by intent and substance from 2006 to 2016. Differences over time between urban and rural residents among different age groups and across external causes of poisoning were quantified using negative binomial models for males and females separately. RESULTS: In 2016, there were 4936 poisoning deaths in a sample of 84 060 559 people (5.9 per 100 000 people; 95% confidence interval: 5.6-6.2). Age-adjusted poisoning mortality dropped from 9.2 to 5.4 per 100 000 people between 2006 and 2016. Males, rural residents and older adults consistently had higher poisoning mortality than females, urban residents and children or young adults. Most pesticide-related deaths (34 996 out of 39 813) were suicides among persons older than 15 years, although such suicides decreased between 2006 and 2016 (from 6.1 per 100 000 people to 3.6 for males and from 5.8 to 3.0 for females). In 2016, alcohol caused 29.3% (600/2050) of unintentional poisoning deaths in men aged 25-64 years. During the study period, unintentional fatal drug poisoning by narcotics and psychodysleptics in individuals aged 25-44 years increased from 0.4 per 100 000 people to 0.7 for males and from 0.05 to 0.13 for females. CONCLUSION: Despite substantial decreases in mortality, poisoning is still a public health threat in China. This warrants further research to explore causative factors and to develop and implement interventions targeting at-risk populations.

Trends in traumatic brain injury mortality in China, 2006-2013: A population-based longitudinal study.

BACKGROUND: Traumatic brain injury (TBI) is a significant global public health problem, but has received minimal attention from researchers and policy-makers in low- and middle-income countries (LMICs). Epidemiological evidence of TBI morbidity and mortality is absent at the national level for most LMICs, including China. Using data from China's Disease Surveillance Points (DSPs) system, we conducted a population-based longitudinal analysis to examine TBI mortality, and mortality differences by sex, age group, location (urban/rural), and external cause of injury, from 1 January 2006 to 31 December 2013 in China. METHOD AND FINDINGS: Mortality data came from the national DSPs system of China, which has coded deaths using the International Classification of Diseases-10th Revision (ICD-10) since 2004. Crude and age-standardized mortality with 95% CIs were estimated using the census population in 2010 as a reference population. The Cochran-Armitage trend test was used to examine the significance of trends in mortality from 2006 to 2013. Negative binomial models were used to examine the associations of TBI mortality with location, sex, and age group. Subgroup analysis was performed by external cause of TBI. We found the following: (1) Age-adjusted TBI mortality increased from 13.23 per 100,000 population in 2006 to 17.06 per 100,000 population in 2008 and then began to fall slightly. In 2013, age-adjusted TBI mortality was 12.99 per 100,000 population (SE = 0.13). (2) Compared to females and urban residents, males and rural residents had higher TBI mortality risk, with adjusted mortality rate ratios of 2.57 and 1.71, respectively. TBI mortality increased substantially with older age. (3) Motor vehicle crashes and falls were the 2 leading causes of TBI mortality between 2006 and 2013. TBI deaths from motor vehicle crashes in children aged 0-14 years and adults aged 65 years and older were most often in pedestrians, and motorcyclists were the first or second leading category of road user for the other age groups. (4) TBI mortality attributed to motor vehicle crashes increased for pedestrians and motorcyclists in all 7 age groups from 2006 to 2013. Our analysis was limited by the availability and quality of data in the DSPs dataset, including lack of injury-related socio-economic factors, policy factors, and individual and behavioral factors. The dataset also may be incomplete in TBI death recording or contain misclassification of mortality data. CONCLUSIONS: TBI constitutes a serious public health threat in China. Further studies should explore the reasons for the particularly high risk of TBI mortality among particular populations, as well as the reasons for recent increases in certain subgroups, and should develop solutions to address these challenges. Interventions proven to work in other cultures should be introduced and implemented nationwide. Examples of these in the domain of motor vehicle crashes include policy change and enforcement of laws concerning helmet use for motorcyclists and bicyclists, car seat and booster seat use for child motor vehicle passengers, speed limit and drunk driving laws, and alcohol ignition interlock use. Examples to prevent falls, especially among elderly individuals, include exercise programs, home modification to reduce fall risk, and multifaceted interventions to prevent falls in all age groups.

Non-fatal injuries treated outside a hospital in Hunan, China: results from a household interview survey.

Background: Injury morbidity data are collected through hospital-based surveillance in many countries. We assessed the extent of non-fatal injures treated outside a hospital. Methods: Data from the first provincial health household interview survey of Hunan, China, conducted in 2013, were used. Injury events were identified and included as medically significant when any of the following circumstances occurred in the prior 14 days: (i) receiving medical treatment from a doctor at a hospital following an injury; (ii) receiving medical treatment by self or others outside a hospital following an injury (e.g. taking medications, or receiving massage or hot compress); and/or (iii) being off work or school, or in bed for more than 1 day, following an injury. The 2-week prevalence of non-fatal injuries and 95% confidence intervals were calculated. We calculated the proportion of injury events treated outside a hospital and the reasons for not visiting a hospital for injury events occurring during the previous 2 weeks. Results: We captured 56 injury events during the previous 2 weeks. The weighted injury prevalence was 4.9 per 1000 persons during the last 2 weeks (95% confidence interval: 2.9-6.9 per 1000 persons). Of the 56 events, 14 (weighted proportion 41.2%) were treated outside a hospital. Primary explanations for skipping hospital visits included perceiving injuries were too minor and economic limitations to travel to hospitals or seek treatment. Conclusion: Results imply the burden of non-fatal injury may be underestimated by hospital-based surveillance systems such as that used in China.

Large urban-rural disparity in the severity of two-week illness: updated results based on the first health service survey of Hunan Province, China.

BACKGROUND: To examine urban-rural differences in the severity of non-fatal disease and injury using the latest household interview survey data of Hunan Province, China. METHODS: Two-week illness data were from the first provincial health household interview survey of Hunan in 2013. The proportion of patients being bedridden, the average days of being bedridden and the average off-work days were calculated to measure the severity of two-week illness. Rao-Scott-adjusted chi-square test was performed to examine the significance of two-week illness severity differences from demographic variables. Multiple logistic regression and linear regression were used to control for sex, age and household income. RESULTS: The two-week illness prevalence was 22.8 % in Hunan province. Despite similar two-week ill prevalence rates between urban areas and rural areas (23.0 % vs. 22.8 %), rural residents had higher proportions of being bedridden and of being off work than urban residents after controlling for sex, age and household income, with adjusted odds ratios of 3.4 and 6.9, respectively. Similarly, the average days of being bedridden and of being off work in rural residents were 0.45 days and 1.61 days longer than in urban residents after controlling for demographic variables, respectively. CONCLUSION: The recent data shows that two-week illness in rural residents is more serious than urban residents in Hunan Province, China in spite of very similar two-week prevalence rates. The neglected urban-rural disparities in the severity of two-week illness deserve the attention of health policy-makers and researchers.

[Analysis of the status and influential factors for prenatal care and postpartum visit among pregnant women based on the First Health Service Survey in Hunan Province].

OBJECTIVE: To evaluate the status and influential factors for prenatal care and postpartum visit among pregnant women in Hunan Province from 2008 to 2013 based on the data from the First Health Service Survey in Hunan Province.
 Methods: Based on the data of prenatal care and postpartum visit among pregnant women from the First Health Service Survey of Hunan Province in 2013, proportion of pregnant women, who didn't meet the criteria for prenatal care and postpartum visit, were calculated (≥5 times for prenatal care and ≥2 times for postpartum visit, according to the National Basic Public Health Service program, 2009 Edition). Multivariable logistic regression models were used to identify the influencial factors.
 Results: A total of 1 035 eligible women were included in data analysis. The proportion of pregnant women who did not meet the criteria were 40.12% (95% CI 24.91%-55.33%) for prenatal care and 64.88% (95% CI 39.70%-90.06%) for postpartum visit. After adjusting other confounding factors, pregnant women with middle- and high-income had lower proportions of not meeting the criteria than those with low-income, with adjusted odds ratios of 0.41 and 0.39, respectively. Multiparae had higher proportion of not meeting the criteria than primiparas, with adjusted odds ratio of 1.54, and pregnant women with age 25-34 years and 35-64 years had lower proportions of not meeting the criteria than those with age 15-24 years. In term of postpartum visit, pregnant women with middle- to high-income had lower proportions of not meeting the criteria than those with low-income, with adjusted odds ratios of 0.50, 0.46 and 0.54, respectively; multiparae had higher proportion of not meeting the criteria than primiparas, with the adjusted odds ratio of 2.30.
 Conclusion: Proportions of pregnant women of not meeting the criteria are high in Hunan Province. Local government should strengthen the management to decrease the proportions of pregnant women who do not meet the standard in prenatal care and postpartum visit, especially for those mulparae with low family income and young age.

[Analysis of satisfactions for services among outpatients and inpatients at the age of equal to or more than 15 years old in Hunan province].

OBJECTIVE: To evaluate the satisfaction of service for outpatient within two weeks and for inpatient service within a year in Hunan Province in 2013 and to analyze the influential factors.
 METHODS: Using the data from the First Health Service Survey of Hunan Province, we evaluated the satisfactions for service in outpatients and inpatients based on the listed satisfaction indicators of the Fifth National Health Service Survey questionnaire. Weighted logistic regression was used to examine the influential factors for patients' satisfactions. SURVEYFREQ and SURVEYLOGISTIC procedures in SAS9.2 were used to conduct statistical analysis.
 RESULTS: The overall satisfaction proportion was 73.85% (95% CI: 68.67%-79.03%) and 66.31% (95% CI: 61.28%-71.34%) for outpatients and inpatients, respectively. After adjusting the location, gender, age and household income, high degree of satisfaction for outpatients was associated with good patience and trust in medical personnel as well as the low medical costs, with the adjusted odds ratios of 3.64, 5.38 and 3.34, respectively; high degree of satisfaction for inpatients was associated with a good attitude from medical personnel to patients' questions, high patients' trust in medical personnel and low medical costs, with the adjusted odds ratios of 2.56, 4.69 and 4.35, respectively.
 CONCLUSION: Most of outpatients and inpatients were satisfied with medical services in 2013 in Hunan province. High degree of satisfaction is associated with good attitude from medical personnel to patients' questions, good patience and trust in medical personnel, and low medical costs.

Association of change in cardiovascular health based on life's essential 8 with incident cardiovascular disease.

Objective: To evaluate whether and to what extent changes in cardiovascular health (CVH) based on life's essential 8 (LE8) are associated with incident cardiovascular disease (CVD). Methods: A total of 7,194 participants were derived from UK Biobank. CVH was evaluated using a modified version of LE8. Participants were classified into three groups according to their LE8 score: high CVH (LE8 score≥80), moderate CVH (50≤LE8 score<80), and low CVH (LE8 score<50). Changes in CVH between 2006/2010 and 2012/2013 were analyzed. Results: During a median of 10.3 years of follow-up, CVD was observed in 597 participants. Compared to the consistent moderate group, the moderate to low group was associated with about 128 % increased risk of CVD (Hazard ratio [HR]: 2.28; 95 % confidence interval [CI]: 1.61, 3.23), and the relevant HR (95 % CI) was 2.19 (1.46, 3.29) for the consistent low group; no statistically significant results were observed in the other groups. Moreover, no statistically significant exposure-response association between absolute change in LE8 score and incident CVD was documented (Poverall=0.15). Conclusion: Change in CVH based on LE8 was associated with the risk of CVD; however, the relationship varied widely in different CVH change patterns.

Assessment of Bidirectional Relationships between Frailty and Mental Disorders: A Bidirectional Mendelian Randomization Study.

OBJECTIVES: Although observational studies have reported the association between frailty and mental disorders, the causality remains unclear. We aimed to evaluate the bidirectional causal association between frailty levels and mental disorders using a 2-sample Mendelian randomization (MR) analysis. DESIGN: A bidirectional, 2-sample Mendelian randomization (MR) analysis. SETTING AND PARTICIPANTS: Instrumental variables were obtained from large-scale genome-wide association study (GWAS) of a European-descent population for frailty index (FI, n = 175,226), Fried Frailty Score (FFS, n = 386,565), major depressive disorder (MDD, n = 674,452), bipolar disorder (n = 353,899), anxiety and stress-related disorder (ASRD, n = 31,880), and schizophrenia (n = 127,906). METHODS: Two-sample MR analyses were conducted using inverse variance-weighted method, with sensitivity analyses using MR-Egger, weighted median, and simple median methods. RESULTS: Per SD increase in genetically predicted FI and FFS increased the risk of MDD [odds ratio (OR) 1.56, 95% CI 1.27-1.94, P = 3.65 × 10-5, and OR 1.67, 95% CI 1.26-2.20, P = 3.02 × 10-4, respectively]. Per-SD increase in genetically predicted FI also increased the risk of ASRD (OR 2.76, 95% CI 1.36-5.60, P = .005). No significant effect was observed for frailty levels on the risk of bipolar disorder and schizophrenia. In the reverse direction, genetically predicted MDD was associated with higher FI (ß 0.182, 95% CI 0.087-0.277, P = 1.79 × 10-4) and FFS (ß 0.121, 95% CI 0.087-0.155, P = 4.43 × 10-12). No reliable evidence supported the effects of genetically predicted bipolar disorder, ASRD, or schizophrenia on frailty levels. CONCLUSIONS AND IMPLICATIONS: A bidirectionally causal association exists between frailty levels and MDD, and higher FI is associated with a higher risk of ASRD. No reliable evidence suggested the causal associations of other mental disorders with frailty. Our findings provided evidence for introduction of psychological-related strategies in management of frailty.

Parental cardiometabolic multimorbidity and subsequent cardiovascular incidence in middle-aged adults: A prospective cohort study.

Background: The prevalence of cardiometabolic multimorbidity, defined as the coexistence of two or three cardiometabolic diseases (CMDs), including coronary heart disease (CHD), diabetes, and stroke, has increased rapidly in recent years, but the additive association between parental cardiometabolic multimorbidity and cardiovascular incidence in middle-aged adults remains unclear. Methods: All the data analysed in this study were derived from the UK Biobank, and a total of 71,923 participants aged 40-55 years old without CVD were included in the main analyses. A weighted score was developed and grouped participants into four parental CMDs patterns: non-CMD, low burden, middle burden, and high burden. Cox proportional hazard models were used to estimate the associations between parental CMDs pattern and CVD incidence before 65 years old. Improvement in CVD risk prediction by adding parental CMDs pattern to a basic model was evaluated. Results: Among the 71,923 participants, 3070 CVD events were observed during a median 12.04 years of follow-up. Compared to non-CMD groups, adults in high burden group had a 94% (73-117%) increased risk of CVD. The restricted cubic spline analysis revealed an exposure-response association between parental CMDs burden and risk of CVD (Pnonlinear = 0.24). Additionally, models involving parental CMDs pattern showed slightly improvements in CVD risk prediction, especially for CHD. Conclusion: An increased burden of parental CMDs was associated with an increased risk of CVD incidence in middle-aged adults. Parental CMDs pattern may provide valuable information in primary prevention of CVD in middle-aged adults.

Association between Longitudinal Change of Sleep Patterns and the Risk of Cardiovascular Diseases.

STUDY OBJECTIVES: To investigate the role of longitudinal change of sleep patterns in the incidence of cardiovascular diseases (CVD). METHODS: Based on UK Biobank, a total of 18,172 participants were enrolled. Five dimensions of healthy sleep including early chronotype, sleep 7-8 hours/day, free of insomnia, no snoring, and no frequent excessive daytime sleepiness were used to generate a healthy sleep score (HSS) ranging from 0 to 5. Corresponding to the HSS of 0-1, 2-3, and 4-5, the poor, intermediate, and healthy sleep pattern were defined. Based on changes of HSS across assessment 1 and 2, we calculated the absolute difference of HSS. For the change of sleep patterns, we categorized five profiles (stable healthy, worsening, stable intermediate, optimizing, and stable poor sleep patterns). The outcomes were incidence of CVD including coronary heart disease (CHD) and stroke. We assessed the adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) by Cox hazard models. RESULTS: Compared with participants with stable poor pattern, those who improved their sleep pattern or maintained the healthy sleep pattern had a 26% and 32% lower risk of CVD, respectively. Stable healthy sleep pattern was associated with a 29% and 44% reduced risk of CHD and stroke. Per unit longitudinal increment of the HSS was related to an 8% lower risk of CVD and CHD. Compared with individuals with constant HSS, those with decreased HSS had a 13% higher risk of developing CVD. CONCLUSION: Optimizing sleep pattern and maintaining the healthy sleep pattern may reduce the risk of CVD.