- Research article
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Do supportive family behaviors promote diabetes self-management in resource limited urban settings? A cross sectional study
BMC Public Healthvolume 18, Article number: 826 (2018)
Self-management is an essential component of prevention and treatment of type 2 diabetes. Social and family support has been shown to influence self-management behaviors as well as glycemic control and complications. This study was conducted to assess whether diabetes family support improves diabetes self-management and glycemic control in a typical urban population in India.
A cross-sectional study using a questionnaire that had items from the Summary of Diabetes Self Care Activities Scale (SDSCA), the Diabetes Family Behavior Checklist (DFBC) and some sociodemographic and diabetes related clinical data was conducted. The participants were consecutively sampled from the diabetes outpatient department in a tertiary care hospital in Chennai, south India.
A total of 200 consecutive patients from the diabetes outpatient department were interviewed. Diabetes self-management practices were good with respect to avoiding fatty foods and carbohydrates and undergoing regular blood testing for glucose. But the self-management with respect to exercise and foot related care was rare. It was observed that a vast majority of the patients did not report receiving any support from their families. However, in the small proportion who did receive good family support, there is an association between diabetes self-management and diabetes family support (β = 0.527; p = 0.015). Further, the path model showed that there is a positive statistically significant association between family support score and the diabetes self-management score (β = 0.254, p < 0.001). However, the negative association between the diabetes self-management score and the mean plasma glucose did not reach statistical significance (β = − 46.378, p = 0.082).
In the urban south Indian setting, family support was significantly associated with better self-management activities, but better self-management did not reflect as better glycaemic control.
India has a huge burden of type 2 diabetes. More than 1 million deaths are attributable to type 2 diabetes annually in India . A major part of treatment of type 2 diabetes is life style modification. Therefore, the treatment focuses on imparting diabetes self-management education (DSME) to the patients. The main aspects of self-management include healthy eating, being active, monitoring blood glucose levels, regular intake of medicines, problem solving, risk reduction and healthy coping . There is enough evidence to show that good self-management behaviors lead to better glycemic control [2,3,4]. Intensive self-management has been shown to reduce diabetes complications such as nephropathy, stroke, cardiovascular complications, and foot amputations [5, 6]. When adopted by healthy persons, self-management has also been shown to prevent type 2 diabetes .
Several key factors influence the adoption and maintenance of self-management of diabetes. The most important among these are personality characteristics of the patient with diabetes, characteristics of the health care provider, the provider-patient relationship and support received from the community . Family is an integral provider of support for patients with diabetes. Families provide physical support to the patient, help in maintaining a structure and organization for effective life style adoption, and also provide emotional support at times of need .
India, a previously agrarian society, is rapidly urbanizing. The characteristic features of an urban family setting are nuclear family, individualistic tendencies of the family members, lack of cohesion within the families and unfavorable economic circumstances . In such a family setting, it is important to note the level of family support that is available for patients with diabetes. It is also important to understand how this family support influences the self-management practices of the patients. In a dominantly patriarchal society, it is likely that family dynamics may adversely affect the women from practicing self-management behaviors, whereas it may be favorable for men . While families may buffer the psycho-social stresses that a patient with diabetes is subject to, it may also act as the primary cause for these stresses . This cross sectional study was conducted in Chennai, south India to understand the levels of family support to patients with diabetes and to assess the influence of family support on self-management of patients with diabetes and their glycemic control.
This cross-sectional study was conducted in Employees State Insurance Corporation (ESIC) Hospital, a tertiary care hospital in Chennai, south India. The patients were employees earning less than Rs. 21,000 (USD 320) per month and their family members, who were insured under the social insurance scheme of the Ministry of Labor and Employment, Government of India. The patients attending the diabetic outpatient department were included in the study. Usually, the patients with diabetes, who are under fair control of blood sugars, visit the hospital once in 3 months to check their fasting and post-prandial blood glucose levels and consult the diabetologist to get their medication refill. In a previous study the prevalence of good self-management among patients with diabetes was found to be 45% . Hence a sample size of 200 was calculated to estimate the association between family support and good self-management practices for a 95% confidence level and 80% power.
Adult men and women who were diagnosed to have type 2 diabetes mellitus were included in the study. The study was conducted on patients attending the outpatient department from May 2017 to September 2017. Patients who were dependent on others for their activities of daily living were not included as their self-management practices cannot be assessed. Patients who had cognitive impairment and any disability in the nervous system were also excluded from the study as the self-management activities of these patients will be affected.
The researcher asked questions to the patients from the questionnaire which included two domains - self management behaviors and family support in addition to general socio-demographic characteristics. The questionnaire to assess self-management was adopted from the Summary of Diabetes Self Care Activities . This included patients’ adherence to a proper diet pattern, avoidance of fatty foods, adequate fruit and vegetable intake, exercise plan, glucose monitoring and foot care. The patients were asked in how many of the past seven days they followed the self-management behaviors. The score was marked on a scale of 0 to 7 representing the number of days the behavior was followed. The Diabetes Family Behavior Checklist was used to assess the family support of the patient . The questionnaire contained 16 questions. The questions were oriented on the family members’ support to the patient following his/her self-management behavior. This included appreciating the patients when they follow their diet pattern, reminding the patient to check their blood glucose levels, nagging the patient to follow their diet regularly, criticizing the patient for not following their exercise schedule, accompanying the patient during exercise, eating meals at the same time as the patient, and other such questions. The questions were scored on a scale of 1 to 5. Here 1 represented no support provided at all and 5 represented the patient is supported always. The questionnaires was translated in Tamil, the local language and used. The fasting and post prandial blood glucose levels of the patient were also recorded to understand their glycemic control levels. A written informed consent was obtained from all the patients prior to the study, informing the patient about the goals and procedures of the research. Ethical approval was obtained from the Institution Ethics committee, ESIC Medical College and PGIMSR, Chennai.
The collected data was entered in the computer using Microsoft Excel spreadsheet. The data was analyzed using IBM SPSS statistical software version 21 to find the relation between family support and self-management behaviors of the patient. The median number of days during which the self-management activity was carried out in the past 1 week was computed. The number of days were also treated as the individual patients’ respective scores on the SDSCA scale and the scores were summed-up. The total score for each patient was calculated as the self-management score. The frequency of support in each dimension was evaluated as a median frequency using the diabetes family behavior checklist. The frequency of family support was also converted to a numerical score and added to yield the family behavior support score. Two main hypotheses were tested using structural equation modeling and path analysis. The first was to evaluate the two latent variables namely, diabetes self-management, diabetes related family support and study the association between the two. The second analysis was to establish a path model to study relationship between family support, diabetes self-management and glycemic control, after adjusting for influences of age, sex, type of family, education and monthly family income. The structural equation modeling analysis was performed using IBM AMOS software version 21. The structural model comprised of two latent variables namely, diabetes family behavior support and diabetes self-management activities. Each item in these scales were loaded as the respective observed variables. Model fit indices such as Comparative Fit Index (CFI), Normed Fit Index (NFI) and Root Mean Square Error Approximation (RMSEA) were assessed. Acceptability of the model fit were tested based on these indices . A path model was also constructed using the total diabetes family support score, the diabetes self-management score and the mean plasma glucose. Age, sex, family type, education and monthly family income of the participants were entered as covariates in the model.
A total of 200 patients in the diabetic outpatient department were approached for the study and all of them consented to participate and responded to the questions. The characteristics of the study sample are shown in Table 1. There were almost an equal distribution of men and women. About 85% of the study sample were between the ages of 41 and 70 years. Only 38% had education above high school level. More than 75% earned less than Rs. 12,000 per month (USD 180). About 57% had diabetes for 5 years of lesser. A majority of 91% of the participants came from nuclear families.
Diabetes self-management behaviors
Table 2 depicts the self-management behavior of the patients. It is represented as the median number of days in the past week that the sample of participants followed the self-management behavior. It is seen that while diet and blood test related self-management was good, the behaviors related to exercise and foot care were very poor.
Family support for diabetes
The Diabetes Family Behavior checklist exhibited an excellent internal consistency with a Cronbach’s Alpha of 0.896. It is seen in Table 3 that the diabetes related family support is very poor in the sample that was studied. The median response for most of the supportive and non-supportive family behaviors was only ‘never’. The instances of having a frequent support was limited to suggesting ideas to take medicines regularly, nag and argue with them to adopt healthy life styles, and eat at the same time as the patient. Further it was seen that none of the sociodemographic covariates had a statistically significant influence on the family support. This analysis is shown in Additional file 1: Table S1.
Structural equation model of relationship between diabetes family support and self-management
The structural equation model had acceptable model fit, as indicated by Comparative Fit Index = 0.925 (greater than 0.90 indicates acceptable fit), Normed Fit Index = 0.899 (greater than 0.80 indicates acceptable fit), Root Mean Square Error Approximation = 0.076 (lesser than 0.80 indicates acceptable fit). It is seen in Fig. 1 as well as Table 4 that all the questions in the diabetes family behaviour checklist loaded in a statistically significant manner on to the latent variable. With respect to diabetes self-management behaviours, intake of fruits and vegetables, foot care, care of the footwear and smoking did not load significantly on to the latent variable of self-management. All other questions loaded in a statistically significant manner. Further it can be seen that there is a statistically significant positive association between family supportive behaviour and diabetes self-management (β = 0.53; p = 0.015).
Association between diabetes family support, self-management and mean plasma glucose
A path model was constructed between total score of family support, total score of self-management and the mean plasma glucose which is shown in Fig. 2. In this model, age, sex, family type, education and monthly family income of the participants were entered as covariates. It is seen that there is a positive statistically significant association between family support score and the diabetes self-management score (β = 0.26, p < 0.001). However, the negative association between the diabetes self-management score and the mean plasma glucose did not reach statistical significance (β = − 46.31, p = 0.082). Further, the model showed that age of the participant had a positive correlation with self-management scores (β = 0.02; p = 0.026) but sex of the participant did not have a statistically significant association (β = 0.02; p = 0.405). The other variables such as education, family type and monthly family income also did not have an influence.
This study explored the association between diabetes family support, diabetes self-management behaviors and glycemic control in patients with diabetes attending a tertiary care hospital in south India. The typical finding was almost a complete lack of any form of supportive family behavior in the study sample with very few people reporting any form of family support. The self-management behaviors were good in diet and blood testing, but very poor in exercise and foot care. It was found that the few people who had greater family support for diabetes had better self-management behaviors. There was also a negative association observed between self-management behaviors and glycemic control as measured by mean plasma glucose, but this association was not statistically significant.
Poor diabetes self-management behaviors
Several previous studies from India have reported poor diabetes self-management behaviors. As seen in previous studies, the self-management behaviors related to diet and blood testing were good in this study sample as well [12, 16]. While diet practices have consistently been observed to be good in the patients with diabetes in India, exercise and foot care have been neglected. This highlights the importance of emphasis on exercise and foot care in the diabetes self-management education programs in India. Even in the diet practices, the behaviors that were more commonly observed were reduction in intake of carbohydrates, sugars and fats. However, consumption of fruits and vegetables was very low. This was also seen in the structural equation model, in which fruits and vegetable consumption do not feature as a significant independent variable contributing to the latent variable of diabetes self-management. The reason for this is the prohibitive cost of fresh fruits and vegetables in the local area. Diabetes self-management support and education should also emphasize on household gardens and local cultivation of vegetables which can be used frequently in cooking. The diabetes self-management education should also focus on enabling policy environment where the produce and sale of vegetables and fruits should be subsidized by the government.
Poor diabetes related family support
Though the Diabetes Family Behavior Checklist that was used in this study originally comprises of two subscales – supportive behaviors and non-supportive behaviors, in this study the scale performed as a unidimensional scale as seen in the structural equation model . The supportive behaviors in the original scale comprised of items that emphasized on appreciating the patient for practicing a certain behavior. On the other hand there were the non-supportive behavior items where the statements pertained to nagging or criticizing the patient for not following certain self-management behaviors . It was reported in studies conducted in the West that, while the supportive behaviors improved diabetes self-management, the non-supportive ones hampered it [19, 20]. However, when the scale was used in the Indian context in this study, it performed as a unidimensional one, which means that both the appreciation for following a certain behavior and criticism and nagging for not following a behavior, were viewed as forms of supportive behavior. Both these behaviors were seen as the family member being involved in the care of the patient with diabetes, the opposite of this being apathy towards the patient’s self-management. It was also seen that this family support was overall very poor. Among those family supportive behaviors, the ones that were more common were diet related and overall self-management advice related.
Several social structural issues are the basis for the poor diabetes related family support observed in the typical urban south Indian population sampled in this study. Firstly, the sample was predominantly urban, with a fast and industrialized life. More than 90% were nuclear families. The number of members available to provide support to the diabetic patients is lesser in nuclear families compared to joint ones. The proportion of families which are nuclear in India according to census of 2011 was 70%. The study sample had a much greater proportion of nuclear families. Therefore, the findings of the study may be over-estimating the lack of family support, which needs to be borne in mind while interpreting the findings. Majority of the study sample were in the age group of 50 years and above. This also meant that some of them were retired, home-bound, not economically productive, living alone without the support of their sons and daughters and having nobody to care for or support them. Though India is a young country today, the numbers of elderly are fast increasing, and the demographic patterns of the elderly are dominated by loneliness and lack of support.
Association between diabetes related family support and diabetes self-management
Studies have shown that diabetes self-management is dependent on four major factors namely, the characteristics of the patient, stress related to diabetes, characteristics of the diabetes care provider and the provider-patient relationship and finally characteristic of social support [8, 21]. Family support is a very important component of social support for diabetes. Several important characteristic features of families have been shown to be associated with poor diabetes self-management behaviors. These are, low family cohesion, high family conflict, too tight or too permeable family boundaries, low levels of organization of families and distant families . It is increasingly seen that urban families, nuclear families and families in low and middle income settings with high levels of resource deprivation have a tendency to have these characteristic features . This was observed in this study.
It was also seen that there was a statistically significant association between family support and diabetes self-management behaviors in the patients. This is consistent with several previous studies which have documented this both in observational as well as experimental settings [18, 24,25,26,27,28,29,30]. The structural equation model revealed that the construct of diabetes self-management was positively associated with the construct of diabetes related family support with a strong regression coefficient. This has important implications. Improving family relationships, increasing the involvement of families in care and support of diabetes is likely to improve diabetes self-management practices, in a typical urban Indian context as well. While the previous Western studies have shown that family behaviors can influence diabetes self-management based on whether they are supportive or non-supportive, in this study it is seen that any form of family engagement, supportive and appreciative or non-supportive and critical may lead to improved self-management.
Failure to demonstrate association between family support, self-management and glycemic control
The path model revealed that while there is a statistically significant association between diabetes family support and diabetes self-management, there was no association between diabetes self-management and mean plasma glucose. The mean plasma glucose was computed by averaging the fasting and post-prandial glucose values of each patient . Glycemic control was measured by measuring mean plasma glucose which is more likely to be variable than glycosylated hemoglobin. Probably measurement of glycosylated hemoglobin as done in most previous studies, would have established an association.
Strengths and limitations of this study
To the best knowledge of the authors, this is the first study to explore family dynamics and support and its influence on diabetes self-management in an Indian context. The dynamics of Indian family structure is fast changing in a rapidly urbanizing India, and this is reflected in this study. It has important implications for planning diabetes self-management education in the country. The main limitation of this study is that it is hospital based and done only in a predominantly urban setting. Large part of the Indian population is rural and future studies should focus on rural community based studies. The other limitation is inability to measure glycosylated hemoglobin due to resource constraints. Future studies should also target developing unique family support scales for the Indian context, as the supportive/non-supportive paradigm of thinking seems to work differently in this context.
This study shows that diabetes self-management behaviors can be substantially improved by improving family support. In this typical urban Indian context, family support was observed to be any form of engagement of the family members in the care of diabetes, irrespective of whether it was supportive or non-supportive. There is also an indication that increased family support may improve self-management which in turn may improve glycemic control. Therefore, future diabetes self-management education in India should focus on family engagement in care.
Comparative fit index
Diabetes Family Behaviour Checklist
Diabetes Self Management Behaviour
Diabetes Self Management Education
Employees State Insurance Corporation
Normed fit index
Root Mean Squared Error Approximation
Summary of Diabetes Self Care Activities
Federation ID. IDF Diabetes Atlas [Internet]. 2015. Available from: http://diabetesatlas.org/resources/2017-atlas.html.
Khunti K, Gray LJ, Skinner T, Carey ME, Realf K, Dallosso H, et al. Effectiveness of a diabetes education and self management programme (DESMOND) for people with newly diagnosed type 2 diabetes mellitus: three year follow-up of a cluster randomised controlled trial in primary care. BMJ. 2012;344:e2333.
Norris SL, Engelgau MM, Venkat Narayan KM. Effectiveness of self-management training in type 2 diabetes: a systematic review of randomized controlled trials. Diabetes Care. 2001;24:561–87.
Norris SL, Nichols PJ, Caspersen CJ, Glasgow RE, Engelgau MM, Jack L, et al. Increasing diabetes self-management education in community settings: a systematic review. Am J Prev Med. 2002;22:39–66.
Katula JA, Kirk JK, Pedley CF, Savoca MR, Effoe VS, Bell RA, et al. The lifestyle intervention for the treatment of diabetes study (LIFT diabetes): design and baseline characteristics for a randomized translational trial to improve control of cardiovascular disease risk factors. Contemp Clin Trials. 2017;53:89–99.
Wing RR. Long-term effects of a lifestyle intervention on weight and cardiovascular risk factors in individuals with type 2 diabetes mellitus: four-year results of the look AHEAD trial. Arch Intern Med. 2010;170:1566–75.
Cha S-A, Lim S-Y, Kim K-R, Lee E-Y, Kang B, Choi Y-H, et al. Community-based randomized controlled trial of diabetes prevention study for high-risk individuals of type 2 diabetes: lifestyle intervention using web-based system. BMC Public Health. 2017;17:387.
Fisher L, C a C, Bartz RJ, Gilliss C, M a S, Sabogal F, et al. The family and type 2 diabetes: a framework for intervention. Diabetes Educ. 1998;24:599–607.
Rajeswari R, Balasubramanian R, Muniyandi M, Geetharamani S, Thresa X, Venkatesan P. Socio-economic impact of tuberculosis on patients and family in India. Int J Tuberc Lung Dis. 1999;3:869–77.
Shrestha A, Kosalram K, Gopichandran V. Gender difference in care of type 2 diabetes. J Nepal Med Assoc. 2013;52:245–50.
Kalra S, Sridhar GR, Balhara YPS, Sahay RK, Bantwal G, Baruah MP et al. National recommendations: Psychosocial management of diabetes in India. Indian J Endocrinol Metab. 2013;17(3):376–95.
Gopichandran V, Lyndon S, Angel MK, Manayalil BP, Blessy KR, Alex RG, et al. Diabetes self-care activities: a community-based survey in urban southern India. Natl Med J India. 2012;25:14–7.
Toobert DJ, Hampson SE, Glasgow RE. The summary of diabetes self-care activities measure: results from 7 studies and a revised scale. Diabetes Care. 2000;23:943–50.
Lewin AB, Geffken GR, Heidgerken AD, Duke DC, Novoa W, Williams LB, et al. The diabetes family behavior checklist: a psychometric evaluation. J Clin Psychol Med Settings. 2005;12:315–22.
Hooper D, Coughlan J, Mullen MR. Structural equation modelling: guidelines for determining model fit. Elec J Buss Res Methods. 2008;6:53–60.
Balagopal P, Kamalamma N, Patel TG, Misra R. A community-based diabetes prevention and management education program in a rural village in India. Diabetes Care. 2008;31:1097–104.
Mayberry LS, Berg CA, Harper KJ, Osborn CY. The design, usability, and feasibility of a family-focused diabetes self-care support mHealth intervention for diverse, low-income adults with type 2 diabetes. J Diabetes Res. 2016;2016:7586385.
Mayberry LS, Osborn CY. Family support, medication adherence, and glycemic control among adults with type 2 diabetes. Diabetes Care. 2012;35:1239–45.
Mayberry LS, Rothman RL, Osborn CY. Family members’ obstructive behaviors appear to be more harmful among adults with type 2 diabetes and limited health literacy. J Health Commun. 2014;19:132–43.
Mayberry LS, Egede LE, Wagner JA, Osborn CY. Stress, depression and medication nonadherence in diabetes: test of the exacerbating and buffering effects of family support. J Behav Med. 2015;38(2):363–71. https://doi.org/10.1007/s10865-014-9611-4.
Sarkar U, Fisher L, Schillinger D. Is self-efficacy associated with diabetes self-management across race/ethnicity and health literacy? Diabetes Care. 2006;29:823–9.
Patterson JM. Families experiencing stress: I. The family adjustment and adaptation response model: II. Applying the FAAR model to health-related issues for intervention and research. Fam Syst Med. 1988;6:202.
Spillius EB. Family and social network: roles, norms and external relationships in ordinary Urban families. London: Routeledge; 20143.
Bennich BB, Røder ME, Overgaard D, Egerod I, Munch L, Knop FK, et al. Supportive and non-supportive interactions in families with a type 2 diabetes patient: an integrative review. Diabetol Metab Syndr. 2017;9(57). Available from: http://dmsjournal.biomedcentral.com/articles/10.1186/s13098-017-0256-7.
Shawon MSR, Hossain FB, Adhikary G, Das Gupta R, Hashan MR, Rabbi MF, et al. Attitude towards diabetes and social and family support among type 2 diabetes patients attending a tertiary-care hospital in Bangladesh: a cross-sectional study. BMC Res Notes. 2016;9:286.
Skinner TC, John M, Hampson SE. Social support and personal models of diabetes as predictors of self-care and well-Being : a longitudinal study of adolescents with diabetes. J Pediatr Psychol. 2000 Jun;25(4):257–67.
Pamungkas R, Chamroonsawasdi K, Vatanasomboon P. A systematic review: family support integrated with diabetes self-management among uncontrolled type II diabetes mellitus patients. Behav Sci (Basel) 2017;7:62. Available from: http://www.mdpi.com/2076-328X/7/3/62
Vaccaro JA, Exebio JC, Zarini GG, Huffman FG. The role of family/friend social support in diabetes self-Management for Minorities with type 2 diabetes. World J. Nutr Health. 2014;2:1–9. Available from: http://pubs.sciepub.com/jnh/2/1/1/index.html.
Miller TA, DiMatteo MR. Importance of family/social support and impact on adherence to diabetic therapy. Diabetes, Metab Syndr Obes Targets Ther. 2013;6:421–6.
Gomes LC, Coelho ACM, Gomides D dos S, Foss-Freitas MC, Foss MC, Pace AE. Contribution of family social support to the metabolic control of people with diabetes mellitus: a randomized controlled clinical trial. Appl Nurs Res. 2017;36:68–76.
Ozmen S, Cil T, Atay AE, Tuzcu AK, Bahceci M. A simple way to estimate mean plasma glucose and to identify type 2 diabetic subjects with poor glycaemic control when a standardized HbA1c assay is not available. Diabet Med. 2006;23:1151–4.
The authors would like to acknowledge the help of the staff of the Diabetes out patient department of the ESIC Medical College & PGIMSR, Chennai.
Availability of data and materials
The data is available on request from the corresponding author on sending an email requesting for the same at email@example.com
Ethics approval and consent to participate
The study was approved by the Ethics Committee of the ESIC Medical College & PGIMSR, Chennai. All participants provided a written fully informed consent before answering the questionnaire.
Consent for publication
Consent for publication is not applicable as no individual identifiable data is published.
The authors declare that they have no competing interests.
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Table S1 Association between socio-demographic factors and family support. (DOCX 14 kb)