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Long non-coding RNAs (lncRNAs) are non-protein coding transcripts longer than 200 nucleotides. Many of these lncRNAs have regulatory functions and have recently emerged as major players in governing fundamental biological processes. Here, we review the definition, distribution, identification, databases, analysis, classification, and functions of lncRNAs. We also discuss the potential roles of lncRNAs in the etiological processes of psychiatric disorders and the implications for clinical diagnosis and treatment. Psychiatr Genet 26:109-116 .

Background: According to the partial smoke-free legislation implemented on 1 September 2010 in Guangzhou, China, smoke-free did not cover all indoor areas. Some places have a full smoking ban (100 % smoke-free), other places have a partial smoking ban, and homes have no ban. This study aimed to compare the smoking behaviors before and after implementation of a smoke-free legislation. Method: A repeated cross-sectional survey was conducted on smoking-related behaviors with a total of 4,900 respondents before, and 5,135 respondents after the legislation was instituted. For each wave of the survey, a three-stage stratified sampling process was used to obtain a representative sample. Pearson's Chi-square test was used to determine differences of smoking prevalence and quit ratio between the two samples. Logistic regression models were used to examine the associations of a smoke-free legislation with smoking behaviors. Results: The overall daily smoking rate declined significantly from 20.8 % to 18.2 % (p∈<∈0.05), especially among those aged 15-24 years. The quit ratios increased significantly (from 14.5 % to 17.9 %), but remained low among 15-44 year olds. The overall self-reported smoking behaviors in locations with a full smoking ban decreased significantly from 36.4 % to 24.3 % with the greater drops occurring in cultural venues, public transport vehicles, and government offices. Smoking in places with partial smoking bans remained high (89.6 % vs. 90.4 %), although a slight decrease was observed in some of these areas. The implementation of a smoke-free legislation did not lead to more smoking in homes (91.0 % vs 89.4 %), but smoking in homes remained high. Conclusions: These findings highlight the urgent need for a comprehensive smoke-free legislation covering all public places in Guangzhou, simultaneously educational interventions and campaigns promoting voluntary changes in home smoking need to occur.

Background Obesity and asthma are both prevalent in the U.S. The a few studies that have examined the differences in association between obesity and asthma by sex provided mixed results. Reason for the sex differences is not well understood. Objective Using U.S. nationally representative data we aimed to examine the association between obesity and asthma and potential sex differences. Methods Data were obtained from the 2012 National Health Interview Survey (n = 33,153 adults, 4197 had asthma). Asthma was determined by a positive response to the question "Has a doctor or health care professional ever told you had asthma?" Obesity was determined as a Body Mass Index (BMI) ≥ 30. Obese status was categorized as BMI = 30-34.9 (Class I obesity), BMI = 35-39.9 (Class II obesity), and BMI ≥ 40 (Class III obesity). Results The prevalence of asthma was 12.6% (11.0% in men, 14.2% in women), and was higher in the obese than non-obese individuals (16.6% vs. 11.1%, p < 0.0001). After controlling for potential confounders, Class I obesity (OR = 1.27, 95% CI = 1.11-1.44), Class II obesity (OR = 1.55, 95% CI = 1.31-1.84), Class III obesity (OR = 1.85, 95% CI = 1.54-2.21) were positively associated with asthma. The association between Class III obesity and asthma was stronger in women than men (2.11 (1.70-2.63) vs. 1.40 (1.01-1.96), p < 0.05), although the sex difference in the association between BMI and asthma was not significant. Positive associations between class II and class III obesity and asthma were observed among young and middle-aged women compared to young and middle-aged men. Stratified by allergic status, obesity remained being positively associated with asthma. Conclusion The prevalence of asthma was higher in women than men. Obesity (and BMI) was positively associated with asthma, overall or stratified by allergic status. The association between Class III obesity and asthma was stronger in women. Obesity and sex may be taken into consideration for the management of asthmatic patients.

Published by Oxford University Press on behalf of the International Epidemiological Association. Background: To investigate the association between resting heart rate and the risk of developing impaired fasting glucose (IFG), diabetes and conversion from IFG to diabetes. Methods: The prospective analysis included 73 357 participants of the Kailuan cohort (57 719 men and 15 638 women). Resting heart rate was measured via electrocardiogram in 2006. Incident diabetes was defined as either the fasting blood glucose (FBG) ≥ 7.0 mmol/l or new active use of diabetes medications during the 4-year follow-up period. IFG was defined as a FBG between 5.6 and 6.9 mmol/l. A meta-analysis including seven published prospective studies focused on heart rate and diabetes risk, and our current study was then conducted using random-effects models. Results: During 4 years of follow-up, 17 463 incident IFG cases and 4 649 incident diabetes cases were identified. The corresponding adjusted hazard ratios (HRs) for each 10 beats/min increase in heart rate were 1.23 [95% confidence interval (CI): 1.19, 1.27] for incident diabetes, 1.11 (95% CI: 1.09, 1.13) for incident IFG and 1.13 (95% CI: 1.08, 1.17) for IFG to diabetes conversion. The risks of incident IFG and diabetes were significantly higher among participants aged < 50 years than those aged ≥ 50 years (P-interaction < 0.02 for both). A meta-analysis confirmed the positive association between resting heart rate and diabetes risk (pooled HR for the highest vs lowest heart rate quintile=1.59, 95% CI:1.27, 2.00; n=8). Conclusion: Faster resting heart rate is associated with higher risk of developing IFG and diabetes, suggesting that heart rate could be used to identify individuals with a higher future risk of diabetes.

To estimate attributable burden and costs of conditions associated with exposure to Adverse Childhood Experiences (ACEs) in Tennessee (TN) and Virginia (VA) during 2017. This is a cross-sectional study of individuals aged 18+ having exposure to ACEs using Behavioral Risk Factor Surveillance System (BRFSS) data. Eight chronic diseases (asthma, obesity, hypertension, diabetes, chronic obstructive pulmonary disease (COPD), depression, cardiovascular disease, and arthritis) and two risk factors (smoking and drinking) associated with ACEs were analyzed. Pearson's chi-square tests analyzed the association between ACEs, risk factors and chronic diseases. The population attributable risks (PAR) were estimated for the ACEs related diseases and risk factors and combined with health care expenses and Disability Adjusted-Life-Years (DALYs). Among those who experienced at least 1 ACE in TN, 10% had COPD, 17% had diabetes, 36% had obesity, and 30% had depression. Individuals who experienced at least 1 ACE in VA had higher percentages for COPD, obesity and depression diseases compared to those who had no ACE (p<.0001). ACEs’ exposure resulted in a burden of about 115,000 years and 127,000 years in terms of DALYs in TN and VA, respectively. The total health spending associated with ACEs based on PARs was about $647 million ($165 per adult) and $942 million ($292 per adult) in TN and VA respectively. The total costs associated with ACEs was about $15.5 billion ($3948) per person) and $20.2 billion ($6288 per person) in TN and VA, respectively. This study emphasizes the need to reduce ACEs due to high health and financial costs.

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Background and Aim: There is a need to improve utilization of cessation assistance in low- and middle-income countries (LMICs), and tobacco cessation research has been identified as priority in LMICs. This study evaluates the relationship between health care provider intervention and cessation assistance utilization in LMICs. Methods: Data from 13 967 participants (aged ≥15 years, 90.3% males) of the Global AdultsTobacco Survey conducted in 12 LMICs (74.3%-97.3% response rates) were analyzed with utilization of counseling/cessation clinic, WHO-recommended medications, and quitline as outcome variables. Health care provider intervention (“no intervention,” only “tobacco screening,” “quit advice”) was the exposure variable. Weighted multiple logistic regression models were used to examine the relationship between each outcome variable and the exposure variable, adjusting for other covariates. Adjusted odds ratios (ORs) with 95% confidence intervals (CIs) are reported. Results: Approximately 52%, 8%, and 40% of participants received no intervention, only tobacco screening, and advice to quit, respectively. Overall, 0.4%, 1.9%, 3.0%, and 4.5% used quitline, WHO-recommended medications, counseling/cessation clinic, and any cessation assistance, respectively. Compared with no intervention, quit advice was associated with increased utilization of quitline (OR = 2.24, 95% CI = 1.2 to 4.4), WHO-recommended medications (OR = 1.67, 95% CI = 1.2 to 2.3), counseling/cessation clinic (OR = 4.41, 95% CI = 3.2 to 6.1), and any assistance (any of the three types) (OR = 2.80, 95% CI = 2.2 to 3.6). Conclusion: The findings of this study suggest that the incorporation of quit advice by health care providers in tobacco control programs and health care systems in LMICs could potentially improve utilization of cessation assistance to improve smoking cessation in LMICs. Implications: This first study of association between health care provider intervention and the utilization of cessation assistance in LMICs reports that there was a missed opportunity to provide quit advice to about 60% of smokers who visited a health care provider in the past year. The odds of utilization of counseling/cessation clinic, WHO-recommended medications, and quitline were significantly increased in participants who were advised to quit smoking. The results suggest that effective integration and implementation of advice to quit in tobacco control programs and the national health care systems may increase the use of cessation assistance to quit smoking.

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