Rural–Urban Differences in the Prevalence of Chronic Disease in Northeast China

Wang, Shibin; Kou, Changgui; Liu, Yawen; Li, Bo; Tao, Yu; D’Arcy, Carl; Shi, Jieping; Wu, Yanhua; Liu, Jianwei; Zhu, Yimin; Yu, Yewei

doi:10.1177/1010539514551200

Cited by 78 publications

(68 citation statements)

References 26 publications

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“…18 The details of the methodology has been described elsewhere. 19 A multistage stratified cluster sampling method was employed in the following way. In the first stage, all the nine administrative regions of Jilin Province were selected as the first stratification.…”

Section: Participants and Study Settingmentioning

confidence: 99%

Relationship of Sleep Duration with Sociodemographic Characteristics, Lifestyle, Mental Health, and Chronic Diseases in a Large Chinese Adult Population

Wang

et al. 2017

Journal of Clinical Sleep Medicine

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Study Objectives: Pattern of sleep duration and its correlates have rarely been reported in China. This study examined the sleep duration and its relationship with sociodemographic variables, lifestyle, mental health, and chronic diseases in a large Chinese adult population. Methods: This cross-sectional study used multistage stratified cluster sampling. A total of 17,320 participants from Jilin province were selected and interviewed using standardized assessment tools. Basic socio-demographic and clinical data were collected. Sleep duration was classified as short (< 7 h per day), long (> 9 h per day) and medium sleep (7-9 h per day). Results: The mean age of the sample was 42.60 ± 10.60 y, with 51.4% being female. The mean sleep duration was 7.31 ± 1.44 h. Short and long sleepers accounted for 30.9% and 6.9% of the sample, respectively. Multinomial logistic regression analysis revealed that older age, current smoking, irregular meal pattern, lack of physical exercise, poor mental health, and chronic diseases or multimorbidity were positively associated with short sleep. Being married and living in rural areas were, however, negatively associated with short sleep. In addition, living in rural area, current smoking, current alcohol use and lack of physical exercise were positively associated with long sleep, while older age and lower education were negatively associated with long sleep. Conclusion: Given the high frequency of short sleep and its negative effect on health, health professionals should pay more attention to sleep patterns in general health care. Nationwide epidemiologic surveys in China are needed to further explore the relationship between sleep duration and health. I NTRO DUCTI O NTo maintain optimal health, sleep duration of 7-9 h is generally needed for adults.1 There is compelling evidence that both habitual short and long sleep durations are associated with poor health outcomes.2-4 A U-shaped relationship between sleep duration and mortality was found in some but not all studies, 5,6 although the explanation for this association is unknown.7 It is assumed that short sleep could be due to voluntary sleep restriction or certain chronic diseases, whereas long sleep is commonly associated with sleep disturbances, chronic diseases, and psychiatric disorders. 8 Identifying the relationship between sleep duration and other clinical variables may help understand the pathomechanism of increased mortality associated with short and long sleep duration. 9Most studies on sleep duration and its correlates have been conducted in the West. Evidence is accumulating that socioeconomic and cultural factors play an important role in sleep-related disturbances including short and long sleep duration. [10][11][12][13][14] Over the past two decades, China has experienced rapid socioeconomic changes leading to a number of social problems including increased divorce rates, smoking and alcohol use, BRIEF SUMMARY Current Knowledge/Study Rationale: Habitual short and long sleep durations are usually associated with po...

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Section: Participants and Study Settingmentioning

confidence: 99%

Relationship of Sleep Duration with Sociodemographic Characteristics, Lifestyle, Mental Health, and Chronic Diseases in a Large Chinese Adult Population

Wang

et al. 2017

Journal of Clinical Sleep Medicine

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“…The present study also found that a greater number of long-term conditions are associated with poorer mental health of those living in rural areas. This finding indicates the disadvantageous impacts of MCCs on individuals' health (Makovski et al, 2018) and revealed that rural participants might be more vulnerable to long-term health conditions due to insufficient medical support, socioeconomic disadvantage, and health risks (e.g., high rates of smoking; Wang et al, 2015). Past studies have shown that economic hardship is a major cause of psychological distress (Brown et al, 2017); however, this study did not observe an association between monthly income and psychological distress possibly because all participants were covered by national insurance schemes, which covered the cost of treatment.…”

Section: Discussionmentioning

confidence: 93%

Urban–rural differences in mental health among Chinese patients with multiple chronic conditions

Cheng

Yang

Inder

et al. 2019

Int J Mental Health Nurs

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Mental health is impacted by social, economic, and environmental influences related to where people live. Mental health problems commonly co‐occur with long‐term physical conditions and impact individuals’ health synergistically. Multiple chronic conditions (MCCs) including mental health problems are becoming a public health challenge globally. However, there is limited information about urban–rural differences in mental health among patients with MCCs in China. The present study aimed to identify differences in mental health between urban and rural patients with MCCs. Using a cross‐sectional design, 347 patients with MCCs were recruited from a tertiary hospital in North Anhui, China. A self‐reported questionnaire, including socio‐demographic and clinical variables, the 12‐item Short‐Form survey version 2 on quality of life, and the Hospital Anxiety and Depression Scale, was administered to outpatients. Findings showed that rural participants reported more symptoms of anxiety and depression and had worse mental health compared to urban participants. Unemployment status, lower educational level, more long‐term health conditions, and a higher degree of anxiety were associated with worse mental health. This study highlights disparities in mental health among patients with MCCs living in urban and rural areas of China. Appropriate mental health support programmes should be developed for patients with MCCs, especially for those living in rural areas.

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“…In a study conducted in China, it was found that the prevalence of chronic diseases was higher in rural areas than in urban areas. The prevalence of circulatory system diseases was found to be 25.6% in rural areas and 21.7% in urban areas (23). In the study by Htet et al, it was determined that the prevalence of behavioral risk factors in individuals living in rural areas for NCD was higher than that in those living in urban areas (21).…”

Section: Discussionmentioning

confidence: 97%

Screening Results of Non-Communicable Diseases in Adult and Elderly People Living in the Rural Area; Cross-sectional Descriptive Study

Tuzcu¹

2019

Erciyes Med J

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The aim of this study is to determine the prevalence, risk, and cancer screening results of the non-communicable diseases (NCDs) in the province of Antalya, Turkey. Materials and Methods: The sample in this cross-sectional descriptive study included 441 volunteers (universe 3841) aged >40 years living in four rural areas in Antalya. The questionnaire used in the study was divided into three parts: descriptive characteristics, Finnish Diabetes Risk Score (FINDRISK), depression risk questionnaire, and cancer screening sections. Results: In total, 91.6% of the participants were aged ≥45 years, and at least one in 50.3% had a chronic disease. According to FINDRISK, 23.8% were in high, and 7.9% were in a very high risk group, 34.5% were slightly overweight, 56.2% were obese, and 26.7% had metabolic syndrome (MS). In total, 22.2% of the individuals were at a risk of depression. In cancer screenings, 32.1% of the women underwent mammography in the past 2 years, 33.6% underwent breast self-examination, and 60.3% underwent cervical cancer screening in the last 5 years. It was determined that 17.2% of participants underwent immunochemical fecal occult blood test. Conclusion: It was observed that approximately one-third of the participants are under risk in term of hypertension and diabetes mellitus. Compared with previous studies, screening rates have increased in recent years, but they are not at the desired level. There is a need to promote encouraging practices for individuals living in rural areas aimed at prevention of NCDs, screening, and effective management of these diseases.

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Rural–Urban Differences in the Prevalence of Chronic Disease in Northeast China

Cited by 78 publications

References 26 publications

Relationship of Sleep Duration with Sociodemographic Characteristics, Lifestyle, Mental Health, and Chronic Diseases in a Large Chinese Adult Population

Relationship of Sleep Duration with Sociodemographic Characteristics, Lifestyle, Mental Health, and Chronic Diseases in a Large Chinese Adult Population

Urban–rural differences in mental health among Chinese patients with multiple chronic conditions

Screening Results of Non-Communicable Diseases in Adult and Elderly People Living in the Rural Area; Cross-sectional Descriptive Study

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