Dataset Information

Status and influencing factors of diabetes information acquisition among rural elderly with pre-diabetes in Yiyang City, China: a cross-sectional study.

ABSTRACT:

Objective

This study was designed to investigate the status of diabetes information acquisition and its influencing factors among patients, 60 years and older, with pre-diabetes in rural China.

Design

This is a cross-sectional study.

Setting

The survey was conducted in 42 rural communities in Yiyang City, Hunan Province, China.

Participants

A total of 461 elderly with pre-diabetes participated in this study, and 434 of them completed the survey (434/461, 94.1%).

Outcome measures

Information on sociodemographic and diabetic information-seeking behaviours were assessed through the structured questionnaires and described by percentages, mean±SD. The influencing factors of diabetes information acquisition were analysed using multiple linear regression analysis.

Results

The average score of diabetes information acquisition in the subjects was 8.39±11.28. The most popular and trusted source of diabetes information for the subjects was doctors. The level of information acquisition not only declined as the age progressed (95% CI -3.754 to -0.143) but also proved lowest among subjects with less than 1 year of education (95% CI 0.756 to 4.326). In addition, the level of information acquisition among elderly individuals with pre-diabetes, but with no history of hyperglycaemia, was lower than among those with a history of hyperglycaemia (95% CI 3.398 to 11.945).

Conclusions

These data indicated that the lack of ability to acquire diabetes information in elderly with pre-diabetes was common in rural China. Improving the ability of rural residents to access information should be incorporated into rural diabetes prevention efforts, especially for the elderly with pre-diabetes with low education and no history of hyperglycaemia.

Trial registration number

ChiCTR-IOR-15007033; Pre-results.

SUBMITTER: Zhu T

PROVIDER: S-EPMC6661561 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Status and influencing factors of diabetes information acquisition among rural elderly with pre-diabetes in Yiyang City, China: a cross-sectional study.

Zhu Tingting T Xu Huilan H

BMJ open 20190718 7

<h4>Objective</h4>This study was designed to investigate the status of diabetes information acquisition and its influencing factors among patients, 60 years and older, with pre-diabetes in rural China.<h4>Design</h4>This is a cross-sectional study.<h4>Setting</h4>The survey was conducted in 42 rural communities in Yiyang City, Hunan Province, China.<h4>Participants</h4>A total of 461 elderly with pre-diabetes participated in this study, and 434 of them completed the survey (434/461, 94.1%).<h4>O ...[more]

PMID: 31324685

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Project description:OBJECTIVE:To explore diabetes-related behaviours and their influencing factors among elderly individuals with pre-diabetes in rural areas of China. DESIGN, SETTING AND PARTICIPANTS:A cross-sectional survey was conducted among elderly individuals (?60 years) in rural communities in Yiyang City of China. Multistaged cluster random sampling was carried out to select 42 areas, and interviews were conducted among 434 elderly individuals with pre-diabetes (fasting plasma glucose 6.1-7.0?mmol/L and/or 2-hour post-glucose load of 7.8-11.1?mmol/L) using questionnaires on diabetes-related behaviours. The diabetes-related behaviours included eight categories: average daily sedentary time; frequency of physical activities per week; regular or irregular diet; whether paying attention to diet control or not; daily dietary preferences; frequency of physical examinations per year; current smoking status; and current consumption of alcohol. Each of the risky behaviours was scored -1 and each of the healthy behaviours was scored +1. Each individual's score of diabetes-related behaviours was the sum of the score for all behaviours. MAIN OUTCOME MEASURES:Participants were asked about general information (age, gender, marital status, history of hyperglycaemia, family history of diabetes mellitus, presence of other diseases, body mass index, waist-to-hip ratio and education) and their diabetes-related behaviours. Multivariate linear regression analysis was performed to identify the risk factors for diabetes-related behaviour among elderly individuals with pre-diabetes. RESULTS:The average score of diabetes-related behaviours of elderly individuals with pre-diabetes in rural China was 2.7. The prevalences of risky diabetes-related behaviours were as follows: <1 physical examination per year (57.6%), insufficient physical activities (55.3%), lack of attention paid to diet control (51.4%), high-salt and high-fat diets (41.0%), sedentary lifestyle (35.9%), smoking (22.8%), regular alcohol uptake (15.0%) and irregular diet (3.9%). Gender and a history of hyperglycaemia were found to be influencing factors of the diabetes-related behaviour score. CONCLUSIONS:The prevalence of risky diabetes-related behaviours was high among pre-diabetic elderly individuals in rural China. More effort should be made to promote the prevention and control of diabetes in rural China. Future studies should be undertaken on diabetes prevention strategies tailored specially for this population. TRIAL REGISTRATION NUMBER:ChiCTR-IOR-15007033; Results.

Project description:ObjectivesThere are few data on the relationship between health-related quality of life (HRQoL) and physical activity among elderly individuals with pre-diabetes. This study aimed to determine if differences existed in HRQoL between individuals with pre-diabetes who were physically active compared with those who were physically inactive in rural China.Design, setting and participantsA cross-sectional survey was conducted among the elderly (≧60 years) in rural communities in Yiyang City of China. Multistage cluster random sampling was carried out to select 42 areas, and interviews were conducted among 434 elderly individuals with pre-diabetes. Pre-diabetes was screened using an oral glucose tolerance test.Main outcome measuresThe Medical Outcomes Study 36-Item Short Form Health Survey questionnaire was used to measure HRQoL. Physical activity was assessed using the International Physical Activity Questionnaire. Multivariate analysis of covariance (MANCOVA) was used to test for differences in HRQoL between the physically active group and the inactive group.ResultsA total of 434 individuals with pre-diabetes were included in this study. The physical component summary (PCS) score of HRQoL was 42.1±10.2 and the mental component summary score was 46.4±8.9. A median total physical activity of 524 metabolic equivalent-min/week was reported. A significant MANCOVA model (Wilks' λ=0.962, F(2,423)=8.44, P<0.001) indicated that elderly individuals with pre-diabetes who were physically active reported higher PCS scores (Mdiff=5.2, P<0.001, effective size=0.47) compared with those physically inactive after adjusting for the following covariates: age, gender, marital status, education, smoking, chronic disease, body mass index and waist:hip ratio.ConclusionsThe HRQoL of elderly individuals with pre-diabetes is poor in rural China. These findings demonstrated that elderly individuals with pre-diabetes who were physically active had higher PCS scores than those who were physically inactive. Furthermore, these results support the rationale for developing a physical activity intervention for HRQoL of individuals with pre-diabetes.Trial registration numberChiCTR-IOR-15007033; Results.

Project description:Purpose: This study aimed to determine whether there are differences in the factors affecting the quality of life (QOL) of elderly women in South Korea according to their perceived economic status. Methods: Data were extracted from the Seventh Korea National Health and Nutrition Examination Survey conducted in 2016. The participants were 879 women over the age of 65 years, who were divided into three groups: high, medium, and low based on their perceived economic status. The study variables were classified into three categories: general characteristics, physical factors, and psychological factors. General characteristics included age, education level, employment, activity restriction, frequency of breakfast/week, frequency of lunch/week, and frequency of dinner/week. Physical factors included disease status, weight change, consumption of alcohol, number of days of walking per week, duration of walking at a time, body mass index (BMI), and discomfort due to changes in hearing. Psychological factors included stress, subjective body awareness, subjective health status, depressive symptoms, and QOL. Complex sample crosstabs and chi-square tests were conducted, and regression was performed to examine the association between the variables by economic status. Results: The factors that influenced the QOL of elderly women with low economic status were arthritis, alcohol consumption, subjective health status, and depressive symptoms, with an explanatory power of 54.3% (F = 14.94, p < 0.001). The factors that influenced the QOL of the medium economic status group were activity restriction, frequency of dinner/week, arthritis, number of days of walking per week, BMI, stress, subjective health status, and depressive symptoms, with an explanatory power of 48.6% (F = 9.82, p < 0.001). For the high economic status group, influential factors were age, restricted activity, arthritis, number of days of walking per week, stress, and depressive symptoms with an explanatory power of 49.0% (F = 69.76, p < 0.001). Conclusions: This study identified different factors that contributed to the QOL of elderly women by economic status.

Project description:Dogs are the most common pet animal species in the UK. Little is known about information and advice gathering within the process of dog acquisition, nor what pre-acquisition research encompasses. This study aimed to better understand the preparatory research undertaken by prospective dog owners in the UK. A 2019 online survey collected quantitative and qualitative data about dog acquisition. Analyses within this study focused on a subset of these current (n = 4381) and potential (n = 2350) owners who had undertaken research, or who reported planning to do so, before acquiring a dog. Additional qualitative data were collected through semi-structured interviews with current (n = 24) and potential (n = 8) dog owners. Among those current owners who had sought information or advice, websites were the most common source of information (76%), followed by family and friends (70%), and online forums (51%). Similar patterns were seen among potential owners. Qualitative data revealed that information was commonly sought on the following: general information about dogs; information about breeds or types of dogs; owner requirements and dog suitability; aspects of dog ownership; and how to source a dog. The majority of prospective owners stated that they had found all the information they wanted (96% of current owners and 90% of potential owners) but some respondents found conflicting advice from different sources and did not know which sources to trust. Our study shows that, for some prospective owners, research into various aspects of dog acquisition and ownership is important. Knowing where to look for correct and unbiased advice, particularly online, is particularly important. Understanding the pre-acquisition research that owners undertake, including the sources they use, information they are interested in finding, and the challenges they face, is of interest to animal welfare and veterinary organisations and those involved in rehoming and selling dogs. This information may help inform interventions aimed at improving the knowledge and decisions made by potential dog owners.

Dataset Information

Status and influencing factors of diabetes information acquisition among rural elderly with pre-diabetes in Yiyang City, China: a cross-sectional study.

Objective

Design

Setting

Participants

Outcome measures

Results

Conclusions

Trial registration number

Publications

Status and influencing factors of diabetes information acquisition among rural elderly with pre-diabetes in Yiyang City, China: a cross-sectional study.

Similar Datasets

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