Methods of the International Tobacco Control (ITC) China Survey: Waves 1, 2 and 3.

This paper describes the methods of sampling design and data collection of Wave 1, 2 and 3 of the International Tobacco Control (ITC) China Survey, with major focus on longitudinal features of the study. Key measures of quality of the survey data, such as retention rates and final sample sizes, are presented. Sample replenishment procedures are outlined, including the addition of a new city, Kunming, at Wave 3. Methods for constructing the longitudinal and cross-sectional survey weights are briefly described.

Marginal analysis of longitudinal ordinal data with misclassification in both response and covariates.

Marginal methods have been widely used for the analysis of longitudinal ordinal and categorical data. These models do not require full parametric assumptions on the joint distribution of repeated response measurements but only specify the marginal or even association structures. However, inference results obtained from these methods often incur serious bias when variables are subject to error. In this paper, we tackle the problem that misclassification exists in both response and categorical covariate variables. We develop a marginal method for misclassification adjustment, which utilizes second-order estimating functions and a functional modeling approach, and can yield consistent estimates and valid inference for mean and association parameters. We propose a two-stage estimation approach for cases in which validation data are available. Our simulation studies show good performance of the proposed method under a variety of settings. Although the proposed method is phrased to data with a longitudinal design, it also applies to correlated data arising from clustered and family studies, in which association parameters may be of scientific interest. The proposed method is applied to analyze a dataset from the Framingham Heart Study as an illustration.

Colquhounia Root Tablet Promotes Autophagy and Inhibits Apoptosis in Diabetic Nephropathy by Suppressing CD36 Expression In Vivo and In Vitro.

Methods: Rat models of DN were established using streptozotocin (STZ). The primary metabolic parameters were assessed. The pathological changes of the rat kidney were investigated, and RNA sequencing was performed for each group. Renal tissue apoptosis was detected using the TUNEL assay. In rats and high glucose- (Hg-) induced HK-2 cells, RT-qPCR and western blot were used to analyze the expression of related genes and proteins. Hg medium was used to establish the diabetic kidney environment. The CCK-8 assay and flow cytometry were used to assess cell viability and apoptosis, respectively. Transmission electron microscopy was used to evaluate autophagy in vitro. Results: CRT treatment significantly reduced albuminuria and renal tissue damage in DN rats. Furthermore, CRT administration inhibited apoptosis and promoted autophagy in DN rat kidney tissues. CRT downregulated CD36 expression and activated the adenosine monophosphate-activated protein kinase (AMPK) signaling pathway in DN rat kidney tissues. CRT intervention inhibited Hg-induced apoptosis and reversed autophagy in HK-2 cells. Moreover, overexpression of CD36 suppressed the beneficial effects of CRT. Conclusions: Our study is the first to report that CRT inhibited apoptosis and promoted autophagy in vivo and in vitro, which was achieved by reducing CD36 expression and activating the AMPK pathway. Therefore, CRT may be an effective drug to treat DN.

Protocol for validating an algorithm to identify neurocognitive disorders in Canadian Longitudinal Study on Aging participants: an observational study.

INTRODUCTION: In population-based research, disease ascertainment algorithms can be as accurate as, and less costly than, performing supplementary clinical examinations on selected participants to confirm a diagnosis of a neurocognitive disorder (NCD), but they require cohort-specific validation. To optimise the use of the Canadian Longitudinal Study on Aging (CLSA) to understand the epidemiology and burden of NCDs, the CLSA Memory Study will validate an NCD ascertainment algorithm to identify CLSA participants with these disorders using routinely acquired study data. METHODS AND ANALYSIS: Up to 600 CLSA participants with equal numbers of those likely to have no NCD, mild NCD or major NCD based on prior self-reported physician diagnosis of a memory problem or dementia, medication consumption (ie, cholinesterase inhibitors, memantine) and/or self-reported function will be recruited during the follow-up 3 CLSA evaluations (started August 2021). Participants will undergo an assessment by a study clinician who will also review an informant interview and make a preliminary determination of the presence or absence of an NCD. The clinical assessment and available CLSA data will be reviewed by a Central Review Panel who will make a final categorisation of participants as having (1) no NCD, (2) mild NCD or, (3) major NCD (according to fifth version of the Diagnostic and Statistical Manual of Mental Disorders criteria). These will be used as our gold standard diagnosis to determine if the NCD ascertainment algorithm accurately identifies CLSA participants with an NCD. Weighted Kappa statistics will be the primary measure of agreement. Sensitivity, specificity, the C-statistic and the phi coefficient will also be estimated. ETHICS AND DISSEMINATION: Ethics approval has been received from the institutional research ethics boards for each CLSA Data Collection Site (Université de Sherbrooke, Hamilton Integrated Research Ethics Board, Dalhousie University, Nova Scotia Health Research Ethics Board, University of Manitoba, McGill University, McGill University Health Centre Research Institute, Memorial University of Newfoundland, University of Victoria, Élisabeth Bruyère Research Institute of Ottawa, University of British Columbia, Island Health (Formerly the Vancouver Island Health Authority, Simon Fraser University, Calgary Conjoint Health Research Ethics Board).The results of this work will be disseminated to public health professionals, researchers, health professionals, administrators and policy-makers through journal publications, conference presentations, publicly available reports and presentations to stakeholder groups.

Regional differences in awareness of tobacco advertising and promotion in China: findings from the ITC China Survey.

OBJECTIVE: To examine whether levels of, and factors related to, awareness of tobacco advertising and promotion differ across six cities in China. METHODS: Data from wave 1 of the International Tobacco Control (ITC) China Survey (April to August 2006) were analysed. The ITC China Survey employed a multistage sampling design in Beijing, Shenyang, Shanghai, Changsha, Guangzhou and Yinchuan. Face-to-face interviews were conducted with a total of 4763 smokers and 1259 non-smokers. Multivariate logistic regression models were used to identify factors associated with awareness of tobacco advertising and promotion. RESULTS: The overall levels of noticing advertisements varied considerably by city. Cities reporting lower levels of advertising tended to report higher levels of point of sale activity. Noticing tobacco industry promotions was associated with more positive attitudes to tobacco companies. CONCLUSION: The awareness of tobacco advertising and promotional activities was not homogeneous across the six Chinese cities, suggesting variations in the tobacco industry's activities and the diversity of implementing a central set of laws to restrict tobacco promotion. This study clearly demonstrates the need to work with the implementation agencies if national laws are to be properly enforced.

Methods of the International Tobacco Control (ITC) China Survey.

This paper describes the design features, data collection methods and analytical strategies of the ITC China Survey, a prospective cohort study of 800 adult smokers and 200 adult non-smokers in each of six cities in China. In addition to features and methods which are common to ITC surveys in other countries, the ITC China Survey possesses unique features in frame construction, a large first phase data enumeration and sampling selection; and it uses special techniques and measures in training, field work organisation and quality control. It also faces technical challenges in sample selection and weight calculation when some selected upper level clusters need to be replaced by new ones owing to massive relocation exercises within the cities.

Secondhand smoke exposure and support for smoke-free policies in cities and rural areas of China from 2009 to 2015: a population-based cohort study (the ITC China Survey).

OBJECTIVES: To examine trends in smoking prevalence in key venues (workplaces, restaurants, bars) and in public support for comprehensive smoke-free laws, with comparisons between cities and rural areas in China. DESIGN: Data are from Waves 3-5 (2009-2015) of the International Tobacco Control (ITC) China Survey, a cohort survey of smokers and non-smokers. Logistic regression analyses employing generalised estimating equations assessed changes in smoking prevalence and support for smoke-free laws over time; specific tests assessed whether partial smoking bans implemented in three cities between Waves 3 and 4 had greater impact. SETTING: Face-to-face surveys were conducted in seven cities (Beijing, Changsha, Guangzhou, Kunming, Shanghai, Shenyang and Yinchuan) and five rural areas (Changzhi, Huzhou, Tongren, Yichun and Xining). PARTICIPANTS: In each survey location at each wave, a representative sample of approximately 800 smokers and 200 non-smokers (aged 18+) were selected using a multistage cluster sampling design. MAIN OUTCOME MEASURES: Prevalence of smoking (whether respondents noticed smoking inside restaurants, bars and workplaces); smoking rules inside these venues; and support for complete smoking bans in these venues. RESULTS: Although smoking prevalence decreased and support increased over time, neither trend was greater in cities that implemented partial smoke-free laws. Smoking was higher in rural than urban workplaces (62% vs 44%, p<0.01), but was equally high in all restaurants and bars. There were generally no differences in secondhand smoke (SHS) exposure between smokers and non-smokers except in rural workplaces (74% vs 58%, p<0.05). Support for comprehensive bans was equally high across locations. CONCLUSIONS: Partial laws have had no effect on reducing SHS in China. There is an urgent need for comprehensive smoke-free laws to protect the public from exposure to deadly tobacco smoke in both urban and rural areas. The high support among Chinese smokers for such a law demonstrates that public support is not a barrier for action.

Diagnosis and treatment of the pituitary metastases.

Three cases of pituitary metastases were reported. They all had operations and the pathological examination confirming the diagnosis. The clinical features of diabetes insipidus and extraocular nerve palsy were presented. In two cases, the original tumors were bronchioloalveolar carcinoma; in the other one, the original tumor was unknown. All three cases had poor outcome. These cases illustrate the fact that a pituitary metastasis can closely mimic a pituitary benign tumor, such as pituitary adenoma. Especially in the presence of suggestive symptoms such as diabetes insipidus and/or cranical nerve paralysis, the possibility of metastatic disease in the differential diagnosis of a pituitary mass should always be considered.

[Degree of exposure to secondhand smoking and related knowledge, attitude among adults in urban China].

OBJECTIVE: To identify the levels of exposure to second-hand smoking (SHS) among Chinese adults living in the urban areas and their knowledge on the risks of SHS, to support for the Smoke-free policy. METHODS: Data from the Global Adult Tobacco Survey (GATS) and the International Tobacco Control Policy Evaluation China Survey (ITC China Survey) was analyzed and SAS was used to calculate the rates and 95%CI. RESULTS: In the two surveys, less than 40% of the respondents reported that their workplaces had completely stopped smoking. Participants who reported that they had seen people smoking at various public places with different rates, also they could reflect the levels to SHS exposure. Restaurants were the venue with the heaviest overall exposure (83.4%-95.6%), followed by the workplace (53.3%-84.0%). Exposure was low in health facilities, schools and public transport venues. In the GATS survey, 60.6% smokers and 68.5% non-smokers believed that SHS could cause lung cancer, but only one-third of the participants believed that SHS could cause heart diseases in adults. Participants in the ITC China survey reported a comparatively higher level of awareness on the harm of SHS, but only 58.2% smokers believed that SHS could cause heart diseases in adults. Overall, data from the ITC China survey showed that participants' support for a comprehensive smoke-free policy in schools, health-related facilities, government buildings and in taxi were high (over 70% ). However, the proportion of participants supporting comprehensive smoking-free policy at workplaces (50.9%-60.9%) was relatively low. CONCLUSION: The proportion of indoor workplaces with complete smoking ban was low in urban areas but levels to SHS exposure were high. People's awareness of harms related to SHS and their attitude on setting up a comprehensive smoke-free workplace need to be improved.

Estimation of fish abundance indices based on scientific research trawl surveys.

The fish abundance index over an ocean region is defined here to be the integral of expected catch per unit effort (CPUE), approximated by the sum of expected CPUE over grid squares. When trawl surveys are done within grid squares selected according to a probability sampling design, several other sources of variation such as the fish population dynamics and the catching process are also involved. In such situations model-assisted methods for estimating abundance, assessed under both design and model perspectives, have some advantages over purely design-based methods such as the Horvitz-Thompson (HT) estimator or purely model-based prediction approaches. This article develops model-assisted empirical likelihood (EL) methods via loglinear regression and nonparametric smoothing. The methods are applied to grid surveys of the Grand Bank region carried out annually by Fishery Products International from 1996 through 2002. The HT and EL methods produce similar point estimates of abundance indices. Simulation results, however, indicate that the EL estimator under local linear smoothing is associated with smaller standard errors.