Prevalence and influencing factors of depressive symptoms among women of reproductive age in the rural areas of Hubei, China.

OBJECTIVES: Depression is one of the most common mental disorders and a major public health problem in the Chinese population, especially among women. The current study aims to understand prevalence of depression symptoms and provide detailed epidemiological factors associated with depression among reproductive women in rural areas which was paid less attention in previous surveys. STUDY DESIGN: Cross-sectional study. METHODS: Face-to-face household interviews were conducted on 1058 women (age: 15-49 years) in rural areas from July 2012 to August 2012. Questionnaires were used to investigate the influencing factors of depression among women. Pearson's χ(2), logistic regression analysis and structural equation modelling (SEM) were applied to analyze the related factors. RESULTS: The prevalence of depression among women was 30.7% [95% confidence interval (CI): 27.9%-33.5%]. Compared with non-depressed individuals, those with depression were more likely to be short of social support [odd ratio (OR): 0.940, P < 0.001) and have no one to talk with (OR: 0.366, P < 0.001), to be dissatisfied with the house (OR: 2.673, P < 0.001) and economy (OR: 2.268, P < 0.01) of their family, and to have great pressure (OR: 2.099, P < 0.01), negative life events (OR: 1.485, P < 0.05) and physical diseases (OR: 1.364, P < 0.05). Pressure status, social support assessment, and socio-economic status were negatively related to depression (correlation coefficient: -0.57, -0.27 and 0.17). CONCLUSIONS: The high prevalence of depression among reproductive women in rural areas is of particular concern. Factors associated with depression may assist health care administrations to identify and assess high-risk women and target strategies accordingly.

Overall obesity is leveling-off while abdominal obesity continues to rise in a Chinese population experiencing rapid economic development: analysis of serial cross-sectional health survey data 2002-2010.

BACKGROUND: Obesity epidemic is related to industrialization and urbanization that have lead to changes in nutrition, lifestyle and socio-economic status. However, information on the trajectory of the obesity epidemic in populations experiencing rapid economic development is limited. We therefore investigate trends in obesity from 2002 to 2010 in a southern Chinese population experiencing world's fastest economic development. METHODS: Between 2002 and 2010 four standardized surveys were conducted in a population of 85 million residents in Guangdong, China. Multistage cluster sampling was adopted to recruit representative samples. Weight, height and waist circumference of the participants were measured in a standardized way. The analysis included residents aged between 18 and 69 years. The number of participants included in the present analysis for Surveys conducted in 2002, 2004, 2007 and 2010 were 13058, 7646, 6441 and 8575, respectively. RESULTS: From year 2002 to 2010, the age-standardized Body mass index (BMI) insignificantly changed from 21.7 kg m(-2) to 22.3 kg m(-2), and the prevalence of overweight and overall obesity from 15.8 to 16.6% (both P>0.05). The age-standardized waist circumference increased from 73.7 to 78.4 cm, and prevalence of abdominal obesity increased from 12.9 to 23.7% (both P<0.001). In urban areas, BMI and overall obesity changed little during the 8-year period (BMI increased from 22.6 to 22.7 kg m(-2) and overall obesity changed from 23.7 to 21.4%), whereas there were slight increases of the same in rural areas (BMI increased from 20.8 to 22.1 kg m(-2)and overall obesity increased from 8.2 to 13.3%). Waist circumference and abdominal obesity increased significantly in both areas, but the increase was more pronounced in rural areas (in urban area, waist circumference increased from 75.1 to 78.5 cm and abdominal obesity from 16.8 to 26.5%; in rural area, waist circumference from 72.2 to 78.3 and abdominal obesity from 8.8 to 22.0%). CONCLUSIONS: BMI and overall obesity in this population, which has experienced the world's fastest economic development over the past three decades, has been leveling-off, while waist circumference and abdominal obesity, independent predictors of cardiovascular risk, have continued to rise. Our findings suggest that obesity epidemic transition in rapidly developing populations may be much faster than what has been observed in Western countries.

Optimization of regional economic and environmental systems under fuzzy and random uncertainties.

Environmental problems associated with socio-economic development have been growing concerns faced by many regional and/or national authorities. However, effective planning may encounter difficulties since uncertainties existing in a number of impact factors and pollution-related processes are often not well acknowledged and reflected. This study advances an interval-fuzzy chance-constrained programming (IFCP) method for planning regional economic and environmental systems, where uncertainties presented as intervals, fuzzy sets and probability distributions can be tackled. The developed method is applied to a real-world case for economic and environmental planning in the New Binhai District in the Municipality of Tianjin, China. Two scenarios based on multiple environmental constraints are examined. The results can help identify desired alternatives for planning regional development strategies, where compromised schemes are provided under an integrated consideration of economic efficiency and environmental protection under multiple uncertainties.

An integrated two-stage optimization model for the development of long-term waste-management strategies.

In this study, an integrated two-stage optimization model (ITOM) is developed for the planning of municipal solid waste (MSW) management in the City of Regina, Canada. The ITOM improves upon the existing optimization approaches with advantages in uncertainty reflection, dynamic analysis, policy investigation, and risk assessment. It can help analyze various policy scenarios that are associated with different levels of economic penalties when the promised policy targets are violated, and address issues concerning planning for a cost-effective diversion program that targets on the prolongation of the existing landfill. Moreover, violations for capacity and diversion constraints are allowed under a range of significance levels, which reflect the tradeoffs between system-cost and constraint-violation risk. The modeling results are useful for generating a range of decision alternatives under various environmental, socio-economic, and system-reliability conditions. They are valuable for supporting the adjustment (or justification) of the existing waste-management practices, the long-term capacity planning for the city's waste-management system, and the identification of desired policies regarding waste generation and management.

Inexact multistage stochastic integer programming for water resources management under uncertainty.

In this study, an inexact multistage stochastic integer programming (IMSIP) method is developed for water resources management under uncertainty. This method incorporates techniques of inexact optimization and multistage stochastic programming within an integer programming framework. It can deal with uncertainties expressed as both probabilities and discrete intervals, and reflect the dynamics in terms of decisions for water allocation through transactions at discrete points of a complete scenario set over a multistage context. Moreover, the IMSIP can facilitate analyses of the multiple policy scenarios that are associated with economic penalties when the promised targets are violated as well as the economies-of-scale in the costs for surplus water diversion. A case study is provided for demonstrating the applicability of the developed methodology. The results indicate that reasonable solutions have been generated for both binary and continuous variables. For all scenarios under consideration, corrective actions can be undertaken dynamically under various pre-regulated policies and can thus help minimize the penalties and costs. The IMSIP can help water resources managers to identify desired system designs against water shortage and for flood control with maximized economic benefit and minimized system-failure risk.