Objectives This study was designed to examine the effect of health literacy on diabetes prevention and control and risk factors for low diabetes health literacy among elderly individuals with prediabetes in rural areas in China.
Design setting and participates A cross-sectional survey was conducted among elderly individuals in rural communities in Yiyang City in China. Multi-staged cluster random sampling was used to select 42 areas and 434 individuals with prediabetes who were interviewed using a questionnaire on diabetes health literacy in China.
Main outcome measures Participants were asked for general information (age, gender, marital status, history of hyperglycaemia, family history of diabetes mellitus, presence of other diseases and level of education). Binary logistic regression analysis was used to identify risk factors for poor health literacy concerning diabetes prevention and control among elderly subjects with prediabetes.
Results The median health literacy score for diabetes prevention and prediabetes control was 10.0 (IQR 7.0–13.0). The level of diabetes health literacy among men was lower than among women (OR 2.831, 95% CI 1.818 to 4.408), and lower among respondents with 1–6 years of education than among those with 6 years or more of education (OR 14.274, 95% CI 5.927 to 34.375). Those with less than 1 year of education had the lowest literacy (OR 31.148, 95% CI 11.661 to 83.204). The level of diabetes health literacy among elderly individuals with prediabetes but no history of hyperglycaemia was lower than among those with a history of hyperglycaemia (OR 2.676, 95% CI 1.101 to 6.504).
Conclusions Health literacy concerning diabetes prevention and control among elderly individuals with prediabetes was very low in rural China. Appropriate health education for elderly individuals with low educational levels should be incorporated into diabetes prevention efforts.
Trial registration number ChiCTR-IOR-15007033; Results.
- health literacy
- rural areas
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Strengths and limitations of this study
This is the first study to examine health literacy regarding diabetes prevention and control among an elderly population with prediabetes in rural China or other countries.
The study provides valuable information on diabetes prevention and control among the elderly population with prediabetes in rural communities.
The study is limited by its cross-sectional design and self-reported data.
Diabetes mellitus is a threat to public health worldwide1 ,2 as the global prevalence of diabetes and prediabetes are rapidly increasing. During the past 30 years, the prevalence of diabetes and prediabetes in China has also increased as Chinese people have changed their lifestyles following rapid economic development.3 The prevalence of diabetes and prediabetes in China in 2007–2008 were estimated to be 9.7% (92.4 million adults) and 15.5% (148.2 million adults), respectively.4 Prediabetes is an intermediate state of hyperglycaemia characterised by glycaemic parameters above normal levels but below the diabetic threshold; prediabetes is also called ‘borderline diabetes’. There are three types of prediabetes: impaired fasting glucose (IFG), impaired glucose tolerance (IGT), and IFG combined with IGT. Prediabetes is strongly associated with an increased risk of developing type 2 diabetes (T2DM), stroke and cardiovascular diseases.5
The occurrence of diabetes and prediabetes increases with age, especially in the elderly (defined here as adults aged 60 years and above). Approximately 52% of diabetes-attributable mortality worldwide occurs among the elderly.6 In North America and the Caribbean, the elderly accounted for 63% of patients with diabetes6 and 86% of all annual diabetes-related deaths in 2007.7 In China, more than 20% of the elderly population in both urban and rural areas have prediabetes.4 Without timely and effective intervention, prediabetes is very likely to progress to diabetes within 10 years.8
If one third of the nearly 150 million Chinese residents with prediabetes transition to T2DM over the next 6 years, this will result in a huge burden on the public health system.
Health literacy is the degree to which individuals have the capacity to obtain, process and understand the basic health information and services needed to make appropriate health decisions. Health literacy may be an important non-clinical factor that may decrease the risk of adverse outcomes.9 ,10 Diabetes health literacy is associated with diabetes-related knowledge, and adequate health literacy is highly correlated with a better understanding of health education.11 Health literacy is a predictor of the utilisation of preventive healthcare. As reported previously, health literacy mediates the relationship between education and glycaemic control in low-income patients with diabetes.12 Moreover, health literacy is associated with disease-related knowledge, a requisite level of which is necessary for effective behaviour change.13 ,14 People with a high level of health literacy are more likely to engage in health-promoting behaviours and therefore have better health outcomes.15
However, low health literacy is common. Approximately 55% of patients with diabetes in the USA have inadequate literacy,16 and Korean immigrants with low health literacy are at a greater risk of T2DM.17 People with low health literacy usually have less disease-specific knowledge, a lower quality of life, and poorer health-related outcomes. They may also have trouble reading prescriptions, following medical instructions, and interacting with the healthcare system.18–20 Because of the link between health literacy and diseases, health literacy is important as regards the rapidly developing public health sector worldwide.21
In China, few studies have investigated diabetes health literacy among rural residents, and no epidemiological information is available on health literacy regarding prediabetes prevention and control among the rural elderly. Through a community-based study, we investigated health literacy relevant to diabetes prevention and control among rural elderly individuals in China. Our aim was to identify the factors associated with health literacy relevant to diabetes prevention and control and to provide scientific recommendations for diabetes prevention in the future.
Materials and methods
Sample size calculation
Sample size was calculated using the formula for cross-sectional studies: α=0.05, n=uα/22P(1−P)/d2, where u=1.96 when α=0.05, P is the prevalence of prediabetes (which is 20% in this study), and d is admissible error (which was 4% here). The theoretical sample size was 423 which includes an extra 10% to allow for subjects lost during the study. Our initial investigations revealed there were about 10 elderly subjects with prediabetes in each village, so a total of 42 villages were required.
Study population and procedures
We used a multistage cluster randomised sampling method to select a representative sample of the rural population with prediabetes between April and July 2015; ‘cluster’ here refers to the village. Subjects were aged 60 years and over and from the rural areas of Yiyang City in Hunan province. In the first stage, sampling was stratified according to geographical characteristics, and two (Yuanjiang and Nanxian) out of six counties were selected. In the second stage, two (Yangluozhou, Yinfengqiao) out of 11 townships, and two (Qingshuzui, and Maocaojie) out of nine townships were randomly selected. In the third stage, 25% of rural villages were randomly selected from each chosen township (each township contains 30–50 villages). In the final stage, all households with elderly individuals in each selected village were identified.
Participants diagnosed as having prediabetes using oral glucose-tolerance tests (OGTTs) were enrolled in the study. The diagnostic standards for prediabetes as stated in the 1999 WHO criteria were applied.22 The elderly resident population (those who had lived in the area for 3 years or longer) who met the diagnostic standards for prediabetes were eligible to participate. Those with severe physical or mental illness were excluded from the study. Individuals who had diabetes or who met the diagnostic standards for diabetes were also excluded from the study. Our trained interviewers visited the elderly subject's home to carefully explain the study and its benefits and the rights of participants. All elderly subjects were invited to have an OGTT and undergo various measurements (blood pressure, height, weight and waist circumference). Participants were then interviewed face to face after giving written, informed consent. If the participant was illiterate, the consent form was signed by a family member. The elderly could decline to participate in the study without penalty, and could drop out at any time during the investigation.
There were 3197 elderly residents in the 42 selected areas (3068 individuals with permanent residence and 129 individuals who had lived for more than 3 years in the area but who had not achieved permanent residence). Of these, 603 had moved away, 336 were excluded because of physical or mental illness, and 114 of the remainder (114/2258, 5.0%) were excluded because they refused to take the OGTT, resulting in a screening sample of 2144 people. There were no difference in age, sex, marital status or education among those who participated in the OGTT compared to those who refused. Screening identified 461 elderly individuals with prediabetes. For various reasons, 21 of those with prediabetes were not investigated (figure 1), leaving 440 for investigation (440/461, 95.4%). Six of the 440 individuals were excluded for incomplete data, so 434 elderly subjects underwent statistical analysis (434/461, 94.1%). A total of 434 individuals with prediabetes from of 42 rural villages were included in our study.
Data collection and measurements
Participants were instructed to maintain their usual physical activity and diet for a minimum of 3 days before the OGTT. After overnight fasting of at least 10 hours, each participant consumed a standard 75 g glucose solution. Blood was sampled at 0 and 120 min after consumption to measure glucose levels. The venous blood was collected from each participant into a vacuum tube containing sodium fluoride and used to measure glucose levels. Blood samples were stored at –80°C and analysed for blood glucose (mmol/L) for no more than 1 hour. Each participant consumed a standard 75 g glucose solution, and blood was sampled at 0 and 120 min later to measure glucose levels. The level of plasma glucose was measured using a hexokinase enzymatic method, and serum cholesterol and triglyceride levels were assessed enzymatically with commercially available reagents in the biochemical laboratory of the primary care centre in each village. Fasting plasma glucose was analysed enzymatically using an Olympus AU640 autoanalyzer (Olympus, Kobe, Japan). All laboratories had successfully completed a standardisation and certification programme. Subjects with prediabetes diagnosed according to the 1999 WHO criteria22 were categorized into the following groups: (1) an IFG group with fasting plasma glucose of 6.1–7.0 mmol/L (110–126 mg/dL) and a 2-hour post-glucose load of <7.8 mmol/L (140 mg/dL); (2) an IGT group with a 2-hour post-glucose load of 7.8–11.1 mmol/L (140–200 mg/dL) and fasting plasma glucose of ≤6.1 mmol/L (110 mg/dL); and (3) an IFG+IGT group.
Socio-demographic information collected included age, gender, marital status, history of hyperglycaemia, family history of diabetes mellitus, presence of other diseases and education. Education was assessed by asking participants to select their highest level of education completed from the following choices: less than 1 year, 1–6 years, and 6 years and above.
Health literacy on diabetes prevention and control
Health literacy concerning diabetes prevention and control was assessed using the Questionnaire of Health Literacy of Diabetes Mellitus of the Public in China designed by the Chinese Center for Health Education. The questionnaire assessed diabetes-related knowledge, diabetes-related behaviour, and the acquisition and utilisation of diabetes information. This questionnaire has a high reliability and validity with a Cronbach's α of 0.866.
The diabetes-related knowledge section assessed attitude to diabetes (eight questions), typical symptoms of diabetes (four questions), complications of diabetes (seven questions), factors conferring a high risk of developing diabetes (six questions) and methods to prevent diabetes (four questions); participants were given a score of 1 for a correct answer and 0 for a wrong answer. The diabetes-related behaviour section contained questions on the amount of time spent sitting each day, the frequency of exercise and physical examination, the regularity of daily diet, diet control and type of daily diet, current smoking status and current consumption of alcohol. Sitting for than less than 6 hours each day, exercising more than 3 times a week, consuming a regular daily diet, paying attention to diet control, preferring a bland diet, having a physical check-up more than once a year, not smoking, and not drinking or drinking little or occasionally were defined as good diabetes-related behaviours.
Five questions inquired about the acquisition and utilisation of diabetes information: (1) How much do you know about diabetes (a lot, a little, nothing); (2) Does your knowledge about diabetes meet your requirements? (yes, no); (3) Do you find it difficult to finding diabetes-related information (no, slightly, very, haven't tried); (4) Do you understand diabetes-related information (understand well, cannot understand, have not tried to find any diabetes-related information); and (5) Are you able to identify diabetes-related information (yes, no, haven't tried to find diabetes-related information). People who knew a lot about diabetes and considered their knowledge met their requirements, who had no difficulty in finding diabetes-related information, who understood diabetes-related information well and were able to identify diabetes-related knowledge were defined as having good information acquisition and utilisation. Those who demonstrated good behaviour or good information acquisition and utilisation were given a score of 2, and all others were given a score of 0. Questionnaire total scores ranged from 0 to 54, with a score >43.2 indicating diabetes-related health literacy.23
Anthropometric measurements included blood pressure, height, weight and waist circumference. Blood pressure was assessed twice (2 min apart) using an electronic blood pressure monitor (Life Source UA-767PV, A&D Medical, San Jose, California, USA) after the participant had been seated for at least 5 min in a quiet room. The two blood pressure readings were averaged to obtain a mean resting blood pressure for each participant. Hypertension is defined as systolic blood pressure ≥140 mm Hg and/or diastolic pressure ≥90 mm Hg.24 Hypotension is defined as systolic blood pressure <90 mm Hg and/or diastolic pressure <60 mm Hg.24
Height was measured to the nearest 0.1 cm using a stadiometer, and weight was measured without shoes and in light indoor clothing to the nearest 0.1 kg. BMI was computed with the following formula: BMI=kg/m2. Participants were defined as being lean (BMI <18.5), normal (18.5 <BMI <24.0), overweight (24.0 <BMI <28.0) or obese (BMI≥28.0) according to Chinese standards.25
Waist circumference was measured to the nearest 0.1 cm by placing a non-stretching measuring tape horizontally around the participant's abdomen at the top of the iliac crest. The reading was taken after expiration while ensuring that the tape was secure but not too tight. Hip measurement was taken at the point of maximum circumference over the buttocks, with the measuring tape held horizontally and touching the surface of light clothing. The waist-to-hip ratio (WHR) was calculated by dividing the waist measurement by the hip measurement. WHR >0.9 in men and >0.8 in women was defined as abnormal WHR.26
The data were analysed using SPSS V.20.0 (SPSS/IBM, Armonk, New York, USA). Data are presented as the percentage, mean±SD, median and IQR. Non-parametric tests were used because the distribution of the health literacy scores on diabetes prevention and control was non-Gaussian. The Kruskal-Wallis test was used to explore differences in diabetes health literacy among individuals with prediabetes with different characteristics. The two-tailed significance threshold was set at p<0.05 in these analyses.
Binary logistic regression analysis was performed to identify risk factors for low diabetes health literacy among the elderly with prediabetes. The median value was used to definite groups. The diabetes health literacy scores were selected as the dependent variables and classified into group 1 (score >10.0) and group 2 (score ≤10.0). Gender (1=female and 2=male), age (1=age 60–64 years, 2=age 65–69 years, 3=age 70–74 years, 4=age 75–79 years, 5=age 80–84 years, and 6=age ≥85years), education (1=less than 1 year, 2=1–6 years, and 3=6 years and above), marital status (1=stable marital status and 2=unstable marital status), history of hyperglycaemia (1=yes and 2=no), family history of diabetes (1=yes and 2=no), other chronic disease status (1=yes and 2=no), BMI (1=lean, 2=normal, 3=overweight, and 4=obese), WHR (1=normal and 2=abnormal) and blood pressure (1=normal and 2=abnormal) were entered as independent variables. Step-wise logistic regression was conducted to analyse the risk factors for low diabetes health literacy using significance levels of 0.05 for entry and 0.10 for removal from the model.
The characteristic of the study population
A total of 42 villages were selected and 2144 subjects took part in the study. The prevalence of prediabetes was 21.5% (461/2144) and 434 individuals with prediabetes completed the questionnaire. The descriptive characteristics of the elderly subjects with prediabetes are given in table 1.
Individuals with the prediabetes were an average (±SD) of 69.4 (±6.45) years of age. Men comprised 41.5% of participants. Most of the participants had a stable marital status (n=313, 72.1%) and had a low level of education (n=353, 81.3%). There was no difference in educational level between men and women (p>0.05).
Few participants had a history of hyperglycaemia (n=28, 6.5%) or a family history of diabetes (n=36, 8.3%). A total of 176 (40.6%) participants had other chronic diseases, 29.7% (n=129) of participants were overweight and 12.7% (n=55) of them were obese. Most of the participants had abnormal WHR (n=357, 82.3%), and nearly half of them had abnormal blood pressure (45.9%, n=199). More individuals had IGT (n=190, 43.8%) than IFG (n=186, 42.9%) or IFG+IGT (n=58, 13.4%).
Diabetes health literacy scores
The health literacy scores for diabetes prevention and control of prediabetes are shown in table 2. The median score was 10.0 (IQR 7.0–13.0). Only one person demonstrated diabetes health literacy (1/434).
Men had lower diabetes health literacy scores than women (9.0 vs 11.0, p<0.05). The health literacy scores of elderly subjects with prediabetes in a stable marriage were higher than those in unstable marriages (10.0 vs 9.0, p<0.05). Elderly individuals with prediabetes who had less than 1 year of education had the lowest health literacy scores compared to the other two educational levels (8.0 vs 11.0 vs 12.0, p<0.05). The health literacy scores of elderly subjects with prediabetes and a history of hyperglycaemia were higher than those of subjects without a history of hyperglycaemia (12.5 vs 9.0, p<0.05). There were no differences in the diabetes health literacy scores related to age, family history of diabetes, other chronic diseases, BMI, WHR, blood pressure or type of prediabetes (p>0.05).
Risk factors for low diabetes health literacy scores
The results of the binary logistic regression analysis of risk factors for low diabetes health literacy are shown in table 3.
After controlling for gender, age, marital status, history of chronic disease, BMI, WHR, type of prediabetes and blood pressure, independent risk factors for low diabetes health literacy among elderly individuals with prediabetes were being male, not having a history of hyperglycaemia and have a low educational level. Elderly subjects with prediabetes who were male (OR 2.831, 95% CI 1.818 to 4.408), did not have a history of hyperglycaemia (OR 2.676, 95% CI 1.101 to 6.504), had less than 1 year of education (OR 31.148, 95% CI 11.661 to 83.204) or 1–6 years of education (OR 14.274, 95% CI 5.927 to 34.375) were more likely to have lower diabetes health literacy.
High prevalence of prediabetes among the rural elderly
This study found a high prevalence of prediabetes among the rural elderly of 21.5%, which is similar to the findings of an earlier study.27 As reported previously, the prevalence of prediabetes is rapidly increasing in China, especially in rural areas.4 ,27 These results together with the large population living in poor rural areas suggest an emerging serious public health problem in rural China. Diabetes can be prevented or delayed in individuals with prediabetes through appropriate interventions, so the rising prevalence of prediabetes and diabetes in rural China has highlighted a need for better prevention.
Low diabetes health literacy among the rural elderly with prediabetes
We used a health literacy questionnaire specific to diabetes prevention and control to measure health literacy among elderly individuals with prediabetes, unlike other studies which used general health literacy measures, such as STOFHLA or REALM, which are not disease or condition-specific. Our questionnaire was able to effectively examine the level of health literacy regarding diabetes prevention and control among subjects with prediabetes.23 Yamashita and Kart28 showed a direct association between diabetes-specific health literacy and patient assessments of their self-care ability and demonstrated that health literacy measures should include indicators of disease-specific knowledge and/or understanding. Thus, it is better to measure health literacy specific to diabetes prevention and control when assessing health literacy level regarding diabetes prevention and control among elderly subjects with prediabetes. Health literacy specific to diabetes prevention and control is crucial for diabetes management and prevention. Thus, the questionnaire used here accurately reflected health literacy regarding diabetes prevention and control among elderly subjects with prediabetes.
The median diabetes health literacy score 10.0 (IQR 7.0–13.0); the lowest score was 1.0 and the highest score was 44.0. Only one person demonstrated diabetes-related health literacy, suggesting that such knowledge among elderly rural individuals with prediabetes is very limited. Our results are similar to previous findings.17 ,23 ,29 A survey using the same questionnaire and administered to 4282 residents aged 18–60 years without diabetes in six Chinese provinces showed a low level of diabetes health literacy.23 The rate of diabetes health literacy was 20.7% among people with less than 1 year of education, and 18.7% among farmers in rural areas.23 Low health literacy is also associated with age, particularly among people aged 65 years or older.17 ,29 Thus, rural elderly patients with prediabetes who have a high risk of developing diabetes should be targeted for diabetes prevention as low health literacy is associated with poorer health outcomes. Diabetes health literacy is related to diabetes knowledge, self-efficacy, self-care behaviours, and glycaemic control.
Risk factors for low diabetes health literacy among elderly rural individuals with prediabetes
Understanding the positive and negative factors associated with diabetes health literacy is necessary for implementing preventive measures. In our study, the factors included several socio-demographic variables and a history of hyperglycaemia. Binary logistic regression revealed that risk factors for low diabetes health literacy among elderly individuals with prediabetes including being male, having a low level of education and not having a history of hyperglycaemia. These results are consistent with previous studies,17 ,29 although the finding of hyperglycaemia is new to this study.
Men have lower diabetes health literacy than women, as reported in other countries.30–32 Health literacy is identified as a key health determinant because of its link to behavioural choices and service usage.33 The relationship between health literacy and unhealthy lifestyle behaviours (eg, tobacco use and harmful alcohol consumption) has been confirmed.34 ,35 In many countries, men are more likely to engage in risky lifestyle behaviours, have lower health knowledge and pay less attention to preventative healthcare than women. In addition, women are more likely to care for sick family members36–38 than men and thus have more contact with the healthcare environment.
Education is an important factor with regard to health literacy. Some studies have found an association between education and health literacy components (eg, nutrition literacy, health knowledge and personal skills).34 ,39 ,40 The level of evidence supporting a correlation between education and health literacy was rated as moderate; people with a high level of education had better health outcomes because of the mediating effect of health literacy.29
This is the first time that the relationship between a history of hyperglycaemia and diabetes-related health literacy has been analysed. We found that hyperglycaemia influenced diabetes health literacy. People with a history of hyperglycaemia had a higher level of diabetes health literacy, likely because they are concerned about developing diabetes and actively seek information on diabetes and behaviours. These results suggest that people with a high level of health literacy may have better glycaemic control, as indicated by previous studies.12 ,41 As reported, low health literacy is associated with a nearly twofold lower odds of good glycaemic control than high health literacy among patients with diabetes (adjusted OR 2.03, 95% CI 1.11 to 3.73).42
Health literacy also mediates the relationship between education and glycaemic control among low-income patients with diabetes.12 ,43 People with poor overall literacy may face challenges in writing and communicating. In particular, those with low health literacy are less likely to initiate and maintain successful diabetes care, which involves interactive communication and participatory decision-making. Elderly patients with prediabetes in poor rural areas have low diabetes health literacy, low educational levels and insufficient health education, and so may not look for effective or suitable resources. Because health literacy includes diabetes-specific knowledge, self-efficacy, self-care behaviours and glycaemic control, strategies to improve health literacy are urgently needed.
A limitation of this study is its cross-sectional design, and so causation cannot be inferred. Moreover, we cannot exclude that the self-reported design introduced bias, and so further studies are needed to confirm these findings.
Our study has revealed very low health literacy regarding diabetes prevention and control among an elderly population with prediabetes in poor rural areas of China. Being male, having a low educational level and not having a history of hyperglycaemia were risk factors for low diabetes health literacy among elderly individuals with prediabetes. Considering the high prevalence of prediabetes and diabetes in rural China and the low educational attainment, low income and old age of this population, future studies should evaluate appropriate measures for improving diabetes-related health literacy among these individuals.
We would like to thank Fan Gao, Yang Yang, Fangfan Jiang, Ting Zhang and Zhao Hu who took part in this study as investigators.
Contributors HX and LQ wrote, checked and revised the manuscript.
Competing interests None declared.
Patient consent Obtained.
Ethics approval This study was approved by the IRB of the Chinese Clinical Trial Registry (No. ChiCTR-IOR-15007033).
Provenance and peer review Not commissioned; externally peer reviewed.
Data sharing statement No additional data are available.
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