- About this Journal ·
- Abstracting and Indexing ·
- Advance Access ·
- Aims and Scope ·
- Article Processing Charges ·
- Articles in Press ·
- Author Guidelines ·
- Bibliographic Information ·
- Citations to this Journal ·
- Contact Information ·
- Editorial Board ·
- Editorial Workflow ·
- Free eTOC Alerts ·
- Publication Ethics ·
- Reviewers Acknowledgment ·
- Submit a Manuscript ·
- Subscription Information ·
- Table of Contents
Advances in Preventive Medicine
Volume 2011 (2011), Article ID 365132, 7 pages
Impact of a Booklet about Diabetes Genetic Susceptibility and Its Prevention on Attitudes towards Prevention and Perceived Behavioral Change in Patients with Type 2 Diabetes and Their Offspring
1Department of Adult Nursing, Graduate School of Medicine, University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, Japan
2Department of Nursing, Faculty of Health Care, Kiryu University, Gunma, Japan
3Graduate School of Comprehensive Human Sciences, Institute of Nursing Sciences, University of Tsukuba, Ibaraki, Japan
Received 28 July 2010; Revised 6 September 2010; Accepted 14 September 2010
Academic Editor: Jodie McVernon
Copyright © 2011 Masakazu Nishigaki et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Background. Offspring of type 2 diabetic patients are at a high risk of type 2 diabetes. Information on diabetes genetic susceptibility and prevention should be supplied to the offspring. Methods. A six-page booklet on diabetes genetic susceptibility and prevention was distributed to 173 patients who ere ordered to hand it to their offspring. The patients answered a self-administered questionnaire on booklet delivery and attitudinal and behavioral changes toward diabetes and its prevention in themselves and their offspring. Results. Valid responses were obtained from 130 patients. Forty-nine patients had actually handed the booklet. Booklet induces more relief than anxiety. From the patient's view, favorable attitudinal and/or behavioral changes occurred in more than half of the offspring who were delivered the booklet. Conclusion. The booklet worked effectively on attitudes and behaviors toward diabetes and its prevention both in patients and their offspring. However, the effectiveness of patients as information deliverers was limited.
Type 2 diabetes is a global burden and its etiology is a complex interaction of genetic and environmental factors. Individuals genetically predisposed to type 2 diabetes x are thus important targets for preventive strategies. Genetic understanding of diabetes has drastically progressed through the use of exhaustive methods for searching candidate genes, such as the genome-wide assay . Many investigators have found candidate genes for type 2 diabetes, and most of them show a 1.4-fold increase in individual risk of type 2 diabetes . Recent studies have shown that genotype adds slightly more information to predictive models which consist of common risk factors, including family history [3–6]. So genetic screening using information on individual genetic variants will become technically possible in future, but its usefulness as a predictive factor is still insufficient. In addition, translational research in the field of genetic screening and the discussion about ethical, legal, and social issues are now lagging behind the progress of technology [7, 8].
Relatives of type 2 diabetic patients show a higher risk of developing type 2 diabetes epidemiologically since they are likely to share genetic predispositions and have lifestyle habits similar to those of their parents . In particular, individuals with an affected first-degree relative display a 2.3–5.5-fold higher risk of type 2 diabetes, independent of sex, age, race/ethnicity, body mass index (BMI), and other demographic characteristics . Therefore, family history has been used to screen high-risk populations [11–13]. Thus, family history is still an important tool for identification of high-risk populations [14, 15].
Intervention should be based on established preventive strategies for other high-risk populations, such as obese or subjects with impaired glucose tolerance [16, 17]. These preventive strategies were conducted in face-to-face personalized form, and previous intervention study for offspring of type 2 diabetes patients in such form revealed significant effect on lifestyle change [18, 19]. However, community settings are more complex and have fewer resources compared with research settings. Direct intervention by medical professionals to communicate with healthy offspring is especially difficult because of lack of opportunities of communication . Thus, some surrogate strategy is required to provide the prevention strategy to offspring.
For high-risk individuals to become actively involved in prevention, recognition of the risk for the disease is crucial [21, 22]. In some diseases with known genetic susceptibility, affected relatives can play effective roles in promoting adoption of preventive behavior to other unaffected family members [23, 24]. But for diabetes, previous studies have shown that although patients recognize the necessity of advising their offspring to adopt preventive behavior, they do not necessarily advise their offspring due to underestimated risk perception . Moreover, preventive behavior in offspring may not be necessarily facilitated even if their parents advise them . This ineffectiveness is mainly due to unmet needs for information source: offspring of type 2 diabetic patients want information about disease susceptibility and prevention directly from medical professionals . From these perspectives, tool development which enables patients to deliver information on diabetes genetic susceptibility and prevention made by medical professional to their offspring is necessary.
This study aimed to develop a delivery tool that consists of information on genetic susceptibility to diabetes and diabetes prevention and to investigate its effect on attitudes towards prevention and perceived behavioral change in both patients and their offspring.
2. Material and Methods
Subjects of this study were type 2 diabetic outpatients who were treated at a general hospital with more than 450 beds in a major urban area of Gunma Prefecture, Japan. Patient inclusion criteria were as follows: diagnosed with type 2 diabetes for a minimum of three months prior to study start, aged between 20 and 70, and have offspring. Patients who had serious mental illness, or other functional impairments making them unable to answer questionnaires were excluded. Patients with the following severe impairment due to diabetes complications were also excluded: renal failure requiring dialysis, amputation of lower limbs, or blindness.
2.2. Information Delivery Tool
A six-page booklet on disease susceptibility, focusing especially on genetic predisposition and prevention of disease onset, was prepared. The booklet was drafted based on the traditional health belief model (Table 1, details were shown in Table 5) . The draft contents of the booklet were developed based on a review of existing literatures. Expert opinions from physicians specializing in diabetes and genetics and from certified genetic counselors were taken into account throughout the process of developing the booklet, including confirmation of content validity. The face validity of the booklet was also confirmed by a few patients and offspring of a type 2 diabetes patient.
2.3. Research Procedure
After obtaining written consent, the patients were asked to complete a questionnaire for initial data collection. The booklet was then given to the patients with an attached letter in December 2009. The patients were asked to read the booklet carefully and to hand it to their offspring based on their autonomy. Two months after providing the booklet, a questionnaire that aimed to investigate outcome measures was sent via mail to the patients. The questionnaire was returned to the researchers via mail.
2.4. Outcome Measures
During initial data collection, information on patients’ age, sex, insulin use, diabetes complications, and glycemic control (HbA1c) was collected from medical records. The questionnaire had questions on years since diagnosis, height, weight, educational background, and occupational status.
To determine outcome measures, the patients were questioned about the delivery status of the booklet and its effect on them and their offspring. First, the patients were asked about changes in their attitude toward diabetes risk and its prevention in their offspring after reading the booklet, and these were assessed based on five parameters, namely, anxiety, relief, sense of deliverer, zeal to know more about heritability of diabetes, and sense of role model, which were judged based on the following options presented to the patients in a questionnaire: (1) The worry about my offspring getting diabetes has increased; (2) I feel comforted because it turned out that diabetes can be prevented; (3) I should share my knowledge about diabetes with my offspring; (4) I found that I want to know more about heritability of diabetes; (5) I should be a model for my offspring for dietary and exercise habits. Each parameter was rated on a 5-point Likert scale (from 1 = strongly disagree to 5 = strongly agree). Then, the patients were also questioned whether they had handed the booklet to their offspring. They had three options for the answer in the questionnaire: (1) I have already handed it; (2) Although I have not handed it yet, I intend to hand it; (3) I have not handed it, and I don’t intend to hand it. The patients who answered that he/she had already handed the booklet to their offspring were then questioned about the change in their offspring after receiving the booklet, and this was assessed based on seven parameters, namely, anxiety, relief, attitude toward diabetes, dietary behavior change, physical activity change, attitude toward parent, and indifference, which were judged based on the following options presented to the patients in a questionnaire: (1) The worry about diabetes has increased; (2) He/She feels comforted because it turned out that diabetes can be prevented; (3) He/She pays more attention to diabetes than previously; (4) He/She began to intentionally follow a low-fat and fiber-rich diet; (5) He/She began to exercise regularly; (6) He/She came to ask me about diabetes; (7) He/She showed hardly any interest. Each parameter was rated on a 5-point Likert scale (from 1 = strongly disagree to 5 = strongly agree). Face validity of questionnaire and booklet was confirmed through the pre-test on five offspring whose parent was diabetic patient.
2.5. Data Analysis
First, descriptive statistics for basic characteristics and outcome measures were tabulated. Then, the relationship between delivery status and other measures was determined to clarify which factors would facilitate information delivery using the chi-square test or Student’s -test. As we aimed to detect tendencies in intrasubject priority placed on psychological effects, the agreement score difference between relief and anxiety was calculated in each patient, and Wilcoxon signed rank sum test was performed. The SAS version 9.13 software (SAS Institute, Cary, NC, USA) was used for statistical analysis, and the significance level was set at .
Study protocols were approved by the Institutional Review Board of the Graduate School of Medicine, University of Tokyo, and written informed consent was obtained before patient enrollment.
Among 173 patients who were eligible and who consented to participate in this study, a valid response was obtained only from 130 patients (75.1%). Table 2 shows patient characteristics: male 57.7% (), mean age 59.9 years (SD = 7.4), and 62.3% patients living with their offspring. The patient disease status was as follows: mean HbA1c 7.2% (SD = 0.9), mean BMI 25.7 (SD = 4.9), one diabetic complication being observed in 15.4%–36.9% of the patients.
Changes in patients’ attitude toward diabetes risk and its prevention in their offspring are shown in Table 3. Increased worry about diabetes occurrence in the offspring was observed in 61.7% of the patients, but comparatively more patients reported increased relief (76.9%). Actually, 56 (43.1%) patients rated higher agreement for the question about relief than the question about anxiety, while 54 (41.5%) rated equally and 19 (14.6%) rated higher for anxiety (, Wilcoxon signed rank test). Similarly, more than 70% of the patients reported a favorable change in the other three parameters.
Forty-nine patients (37.7%) had already handed the booklet to their offspring, and sixty-three patients (48.5%) expressed their intention to deliver. Fifteen patients (11.5%) refused to deliver the booklet. The patients who lived with their offspring tended to deliver the booklet more frequently to their offspring (, chi-square test). No other patient characteristics showed a significant relationship with delivery status.
Forty-nine patients who had already handed the booklet to their offspring were questioned about observed changes in their offspring after receiving the booklet (Table 4). Twenty-one (42.4%) patients reported that worry about diabetes occurrence seemed to have been increased in their offspring, but comparatively more patients reported increased relief (57.1%). Actually, 18 (36.7%) patients rated higher agreement for the question about their offspring’s relief than the question about anxiety, while 19 (38.8%) rated equally and 10 (20.4%) rated higher for anxiety (, Wilcoxon signed rank test). Approximately, 70% of the patients who handed the booklet to their offspring thought that their offspring began paying more attention to diabetes. About 60% of patients thought that their offspring had changed their dietary habits, while less than half (44.9%) of them thought that their offspring had changed their physical activity habits (, Wilcoxon signed rank test). Nineteen (38.8%) patients reported that their offspring offered information on diabetes to them, while 13 (26.5%) regarded their offspring as indifferent to the booklet.
The present study investigated utilization of type 2 diabetic patients as information deliverers and the effect of an information delivery tool generated by medical professionals on attitudes towards prevention and perceived behavioral change.
Information on disease susceptibility would sometimes be a psychological burden for high-risk people, especially to those who are genetically predisposed . But some previous research has indicated that such information has a positive effect on psychological factors in diabetes [7, 32]. Consistent with these studies, both patients and their offspring in this study reported stronger agreement to increased relief than increased anxiety. Active utilization of genetic information should be considered in case of preventable or curable diseases. However, we must not ignore the fact that 14.6% of patients and 20.4% of offspring felt more anxiety than relief. Healthcare providers must consider the negative impact of information disclosure about genetic disease predisposition. So, establishment of an infrastructure to consider ethical, legal, and social issues is necessary for utilization of genetic information, even if the beneficial effects of genetic information exceed its detrimental effects generally.
The information supplied in this study produced favorable attitudinal and behavioral changes toward diabetes risk and its prevention. The patients began to pay more attention to diabetes prevention in their offspring and to be aware of their role as information deliverers and role models with respect to lifestyle. Offspring who wanted information to be supplied by medical professionals  also revealed favorable attitudinal and/or behavioral changes as reported by the patients. More than half of patients who handed booklet to their offspring reported that their offspring changed their dietary habits. Exercise habits changed less frequently than dietary habits, which may show that more barriers exist to engaging in regular exercise [26, 33]. A previous study has shown that advice from parents would not produce behavioral changes in the offspring because they want information directly from medical professionals . In this research, information supplied from a medical professional in booklet form stimulated preventive behavior among offspring of type 2 diabetic patients. On the other hand, from the viewpoint of information delivery, a different systematic strategy is needed to facilitate patient’s actions because booklet delivery was delayed in about half of all the subjects, although most intended to deliver booklet. A separate living arrangement is an obvious barrier to information delivery. A possible strategy for delivering the booklet without failure is to mail it directly to offspring. However, such a strategy involves ethical issues, because it is crucial to collect personal information (i.e., a mailing address) for this purpose. Further consideration is needed to establish an ethically sound and reliable strategy for information delivery.
First, this study obtained information on attitudinal and behavioral changes in the offspring through their parents and not directly through their offspring. This would surely be a source of bias; however, whether it would contribute to an optimistic or to a pessimistic bias remains unclear.
In addition, whether these findings represent a specific characteristic of diabetic patients and their offspring is unclear because this study did not contain a control group of nondiabetic adult patients. Careful consideration is necessary because the current study was conducted in a single institutional setting and not in randomly sampled subjects. In addition, Table 1 shows that subjects of this study were an approximately fair-controlled (7.1%, HbA1c) population. This point would weaken the ability to extrapolate the results of this study. The nature of this cross-sectional study also weakens its validity. Although this study focused on “change” caused by the booklet and stated it clearly in the questionnaire, the subjects might have not been able to distinguish between “change” and “actual status.” A further prospective interventional study conducted on offspring directly with an adequate control group is needed to clarify the effect of information delivery on preventive behavior among offspring. Finally, results were limited by the self-reported nature of the questionnaire. Subjects answers were based on subjective perception. In particular, questions about preventive behaviors were influenced by the subjective nature of the questionnaire. More objective questions based on quantitative data of real activity such as total calorie intake or duration of exercise should be obtained to clarify the results of this study.
In conclusion, this research showed that information supplied from a medical professional could effectively stimulate preventive behavior among offspring of type 2 diabetic patients. On the other hand, utilization of the patients as information deliverers has some limitation in its current form. Thus, development of a different strategy for direct delivery of information to offspring of type 2 diabetic patients is necessary.
This paper was supported by Grant-in-Aid for Young Scientists (B) 20791760 from The Ministry of Education, Culture, Sports, Science and Technology (MEXT).
- R. Sladek, G. Rocheleau, J. Rung et al., “A genome-wide association study identifies novel risk loci for type 2 diabetes,” Nature, vol. 445, no. 7130, pp. 881–885, 2007.
- R. W. Grant, A. F. Moore, and J. C. Florez, “Genetic architecture of type 2 diabetes: recent progress and clinical implications,” Diabetes Care, vol. 32, no. 6, pp. 1107–1114, 2009.
- J. B. Meigs, P. Shrader, L. M. Sullivan et al., “Genotype score in addition to common risk factors for prediction of type 2 diabetes,” The New England Journal of Medicine, vol. 359, no. 21, pp. 2208–2219, 2008.
- V. Lyssenko, A. Jonsson, P. Almgren et al., “Clinical risk factors, DNA variants, and the development of type 2 diabetes,” The New England Journal of Medicine, vol. 359, no. 21, pp. 2220–2232, 2008.
- H. Lango, C. N. A. Palmer, A. D. Morris et al., “Assessing the combined impact of 18 common genetic variants of modest effect sizes on type 2 diabetes risk,” Diabetes, vol. 57, no. 11, pp. 3129–3135, 2008.
- M. Van Hoek, A. Dehghan, J. C. M. Witteman et al., “Predicting type 2 diabetes based on polymorphisms from genome-wide association studies: a population-based study,” Diabetes, vol. 57, no. 11, pp. 3122–3128, 2008.
- M. T. Scheuner, P. Sieverding, and P. G. Shekelle, “Delivery of genomic medicine for common chronic adult diseases: a systematic review,” Journal of the American Medical Association, vol. 299, no. 11, pp. 1320–1334, 2008.
- M. J. Khoury, M. Gwinn, P. W. Yoon, N. Dowling, C. A. Moore, and L. Bradley, “The continuum of translation research in genomic medicine: how can we accelerate the appropriate integration of human genome discoveries into health care and disease prevention?” Genetics in Medicine, vol. 9, no. 10, pp. 665–674, 2007.
- T. Kuzuya and A. Matsuda, “Family histories of diabetes among Japanese patients with type 1 (insulin-dependent) and type 2 (non-insulin-dependent) diabetes,” Diabetologia, vol. 22, no. 5, pp. 372–374, 1982.
- R. Valdez, P. W. Yoon, T. Liu, and M. J. Khoury, “Family history and prevalence of diabetes in the U.S. population: the 6-year results from the National Health and Nutrition Examination Survey (1999–2004),” Diabetes Care, vol. 30, no. 10, pp. 2517–2522, 2007.
- T. A. Harrison, L. A. Hindorff, H. Kim et al., “Family history of diabetes as a potential public health tool,” American Journal of Preventive Medicine, vol. 24, no. 2, pp. 152–159, 2003.
- S. Hariri, P. W. Yoon, N. Qureshi, R. Valdez, M. T. Scheuner, and M. J. Khoury, “Family history of type 2 diabetes: a population-based screening tool for prevention?” Genetics in Medicine, vol. 8, no. 2, pp. 102–108, 2006.
- S. Hariri, P. W. Yoon, R. Moonesinghe, R. Valdez, and M. J. Khoury, “Evaluation of family history as a risk factor and screening tool for detecting undiagnosed diabetes in a nationally representative survey population,” Genetics in Medicine, vol. 8, no. 12, pp. 752–759, 2006.
- M. J. Khoury, R. Valdez, and A. Albright, “Public health genomics approach to type 2 diabetes,” Diabetes, vol. 57, no. 11, pp. 2911–2914, 2008.
- E. S. Stolerman and J. C. Florez, “Genomics of type 2 diabetes mellitus: implications for the clinician,” Nature Reviews Endocrinology, vol. 5, no. 8, pp. 429–436, 2009.
- H. K. Brekke, P.-A. Jansson, J.-E. Månsson, and R. A. Lenner, “Lifestyle changes can be achieved through counseling and follow-up in first-degree relatives of patients with type 2 diabetes,” Journal of the American Dietetic Association, vol. 103, no. 7, pp. 835–843, 2003.
- H. K. Brekke, Å. Sunesson, M. Axelsen, and R. A. Lenner, “Attitudes and barriers to dietary advice aimed at reducing risk of type 2 diabetes in first-degree relatives of patients with type 2 diabetes,” Journal of Human Nutrition and Dietetics, vol. 17, no. 6, pp. 513–521, 2004.
- J. Tuomilehto, J. Lindström, J. G. Eriksson et al., “Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance,” The New England Journal of Medicine, vol. 344, no. 18, pp. 1343–1350, 2001.
- Diabetes Prevention Program Research Group, “The Diabetes Prevention Program (DPP): description of lifestyle intervention,” Diabetes Care, vol. 25, no. 12, pp. 2165–2171, 2002.
- M. Nishigaki, A. Ota, T. Kusakabe, et al., “Relative responsibilities: is there an obligation to discuss genomics research participation with family members?” Public Health Genomics. In press.
- H. Leventhal, J. Weinman, E. A. Leventhal, and L. Alison Phillips, “Health psychology: the search for pathways between behavior and health,” Annual Review of Psychology, vol. 59, pp. 477–505, 2008.
- I. M. Rosenstock, “Why people use health services,” The Milbank Memorial Fund Quarterly, vol. 44, no. 3, pp. 94–127, 1966.
- J. Weil, Psychosocial Genetic Counseling, Oxford University Press, New York, NY, USA, 2000.
- B. J. Wilson, K. Forrest, E. R. van Teijlingen et al., “Family communication about genetic risk: the little that is known,” Community Genetics, vol. 7, no. 1, pp. 15–24, 2003.
- M. Nishigaki, K. Kobayashi, N. Kato et al., “Preventive advice given by patients with type 2 diabetes to their offspring,” British Journal of General Practice, vol. 59, no. 558, pp. 37–42, 2009.
- M. Nishigaki, K. Kobayashi, Y. Abe et al., “Preventive behaviour in adult offspring of type 2 diabetic patients and its relationship to parental advice,” Diabetic Medicine, vol. 25, no. 11, pp. 1343–1348, 2008.
- M. B. Schulze and F. B. Hu, “Primary prevention of diabetes: what can be done and how much can be prevented?” Annual Review of Public Health, vol. 26, pp. 445–467, 2005.
- T. Kadowaki, K. Hara, T. Yamauchi, Y. Terauchi, K. Tobe, and R. Nagai, “Molecular mechanism of insulin resistance and obesity,” Experimental Biology & Medicine, vol. 228, no. 10, pp. 1111–1117, 2003.
- L. Qi, F. B. Hu, and G. Hu, “Genes, environment, and interactions in prevention of type 2 diabetes: a focus on physical activity and lifestyle changes,” Current Molecular Medicine, vol. 8, no. 6, pp. 519–532, 2008.
- M. Uusitupa, “Gene-diet interaction in relation to the prevention of obesity and type 2 diabetes: vidence from the Finnish Diabetes Prevention Study,” Nutrition, Metabolism & Cardiovascular Diseases, vol. 15, no. 3, pp. 225–233, 2005.
- A. Baum, A. L. Friedman, and S. G. Zakowski, “Stress and genetic testing for disease risk,” Health Psychology, vol. 16, no. 1, pp. 8–19, 1997.
- M. Pierce, D. Ridout, D. Harding, H. Keen, and C. Bradley, “More good than harm: a randomised controlled trial of the effect of education about familial risk of diabetes on psychological outcomes,” British Journal of General Practice, vol. 50, no. 460, pp. 867–871, 2000.
- L. H. Forsyth and V. L. Goetsch, “Perceived threat of illness and health protective behaviors in offspring of adults with non-insulin-dependent diabetes mellitus,” Behavioral Medicine, vol. 23, no. 3, pp. 112–121, 1997.