BackgroundCurrent knowledge about elder mistreatment is mainly derived from studies done in Western countries, which indicate that this problem is related to risk factors such as a shared living situation, social isolation, disease burden, and caregiver strain. We know little about prevalence and risk factors for elder mistreatment and mistreatment subtypes in rural China where the elder population is the most vulnerable.MethodsIn 2010, we conducted a cross-sectional survey among older adults aged 60 or older in three rural communities in Macheng, a city in Hubei province, China. Of 2245 people initially identified, 2039 were available for interview and this was completed in 2000. A structured questionnaire was used to collect data regarding mistreatment and covariates. Logistic regression analysis was used to identify factors related to elder mistreatment and subtypes of mistreatment.ResultsElder mistreatment was reported by 36.2% (95% CI: 34.1%–38.3%) of the participants. Prevalence rates of psychological mistreatment, caregiver neglect, physical mistreatment, and financial mistreatment were 27.3% (95% CI: 25.3%–29.2%), 15.8% (95% CI: 14.2%–17.4%), 4.9% (95% CI: 3.9%–5.8%) and 2.0% (95% CI: 1.3%–2.6%), respectively. The multivariate logistic regression analysis revealed that depression, being widowed/divorced/single/separated, having a physical disability, having a labor intensive job, depending solely on self-made income, and living alone were risk factors for elder mistreatment. Different types of elder mistreatment were associated with different risk factors, and depression was the consistent risk factor for the three most common mistreatment subtypes.ConclusionOlder adults in rural China self-report a higher rate of mistreatment than their counterparts in Western countries. Depression is a main risk factor associated with most subtypes of mistreatment. Our findings suggest that prevention and management of elder mistreatment is a challenge facing a rapidly aging Chinese population.

BackgroundThe influence of rural-urban disparities in children's health on neonatal death in disadvantaged areas of China is poorly understood. In this study of rural and urban populations in Gansu province, a disadvantaged province of China, we describe the characteristics and mortality of newborn infants and evaluated rural-urban differences of neonatal death.MethodsWe analyzed all neonatal deaths in the data from the Surveillance System of Child Death in Gansu Province, China from 2004 to 2009. We calculated all-cause neonatal mortality rates (NMR) and cause-specific death rates for infants born to rural or urban mothers during 2004-09. Rural-urban classifications were determined based on the residence registry system of China. Chi-square tests were used to compare differences of infant characteristics and cause-specific deaths by rural-urban maternal residence.ResultsOverall, NMR fell in both rural and urban populations during 2004-09. Average NMR for rural and urban populations was 17.8 and 7.5 per 1000 live births, respectively. For both rural and urban newborn infants, the four leading causes of death were birth asphyxia, preterm or low birth weight, congenital malformation, and pneumonia. Each cause-specific death rate was higher in rural infants than in urban infants. More rural than urban neonates died out of hospital or did not receive medical care before death.ConclusionsNeonatal mortality declined dramatically both in urban and rural groups in Gansu province during 2004-09. However, profound disparities persisted between rural and urban populations. Strategies that address inequalities of accessibility and quality of health care are necessary to improve neonatal health in rural settings in China.

A B S T R A C TBackground: Double Burden of Malnutrition (DBM)-the coexistence of undernutrition along with overnutrition-is a significant public health issue in the Asia-Pacific region. The scope of the DBM in this region is largely unknown. This review aims to determine the prevalence of under-and overnutrition as major DBM components and to investigate whether there has been a shift from under-to overnutrition in the Asia-Pacific region.Methods: Online databases including PubMed and Web of Science were searched for original studies on DBM prevalence in the Asia-Pacific region; particularly, those published from January 2008 to December 2018 were screened for eligibility. We collected data on indicators of under-and overnutrition on the population level and adapted the ratio of prevalence of overweight/ obesity versus prevalence of underweight as the main outcome indicator. Pooled prevalence estimates of DBM and the ratio of overnutrition versus undernutrition were generated using R (3.4.0). Results:In total, 33 studies were included in this review. Pooled analysis demonstrated that DBM was generally presented among countries/areas in the Asia-Pacific region except in high-income countries (HICs). Overall, the prevalence of undernutrition was 8.8% (95% CI 7.3-10.6%) while overnutrition among the same population reached 23.0% (95% CI 20.3-26.0%). Countries in the Oceania region or HICs reported low level of undernutrition (less than 3%). All subgroup analysis (geolocation, income level, sex, age) reported pooled prevalence of overweight/obesity as more than 18%. Overall, the whole region and all subgroups were more likely to experience a higher prevalence of overnutrition than undernutrition, except that low-and lower-middle-income countries (L-MICs) had similar prevalence for over-and undernutrition.Conclusion: DBM in the Asia-Pacific region is alarmingly high and is titled toward overnutrition. As a result, future interventions/policy targeting to maintain a healthy weight for the population should not just focus on prevention and treatment toward one direction. Data availability statement: All codes and data for meta-analysis models and forest plots were uploaded online on GitHub opensource (https://github.com/sabrinaboasui/ DoubleBurdenMalnutritionSR).

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