Skip to main content
  • Research article
  • Open access
  • Published:

Adherence to and factors associated with self-care behaviours in type 2 diabetes patients in Ghana

Abstract

Background

Previous research has failed to examine more than one self-care behaviour in type 2 diabetes patients in Ghana. The purpose of this study is to investigate adult Ghanaian type 2 diabetes patients’ adherence to four self-care activities: diet (general and specific), exercise, self-monitoring of blood glucose (SMBG) and foot care.

Methods

Consenting type 2 diabetes patients attending diabetes outpatient clinic appointments at three hospitals in the Tamale Metropolis of Ghana completed a cross-sectional survey comprising the Summary of Diabetes Self-Care Activities Measure, and questions about demographic characteristics and diabetes history. Height and weight were also measured. Multiple linear regression analyses were conducted to identify the factors associated with adherence to each of the four self-care behaviours.

Results

In the last 7 days, participants exercised for a mean (SD) of 4.78 (2.09) days and followed diet, foot care and SMBG for a mean (SD) of 4.40 (1.52), 2.86 (2.16) and 2.15 (0.65) days, respectively. More education was associated with a higher frequency of reported participation in exercise (r = 0.168, p = 0.022), following a healthy diet (r = 0.223, p = 0.002) and foot care (r = 0.153, p = 0.037) in the last 7 days. Males reported performing SMBG (r = 0.198, p = 0.007) more frequently than their female counterparts.

Conclusion

Adherence to diet, SMBG and checking of feet were relatively low. People with low education and women may need additional support to improve adherence to self-care behaviours in this type 2 diabetes population.

Peer Review reports

Background

Diabetes has emerged as an important non-communicable disease in Sub-Saharan Africa [1]. According to the International Diabetes Federation, about 50% of all deaths attributed to diabetes were in less-developed regions like Sub-Saharan Africa [2]. Over three-quarters of these deaths occurred in individuals under 60 years old, affecting the productive work force of the sub-region. The prevalence of diabetes in adults aged 20–79 years in Ghana has increased from a prevalence of 0.2% in 1958 [3] to an estimated prevalence of 3.3% in 2014 [4]. Similar to other parts of the world, type 2 diabetes is the most common form of diabetes in Ghana [1].

The recommended self-care regimen for type 2 diabetes patients generally includes regular physical activity, healthy eating and foot care as well as self-monitoring of blood glucose (SMBG) [5, 6]. Adherence to these self-care behaviours improves glycaemic control [7]; sustains blood pressure [8]; reduces the severity of complications [7] and health costs [9].

Consistent implementation of recommended self-care behaviours for individuals with type 2 diabetes requires collaboration between the patient and the provider in an enabling health care system with adequate facilities and resources [10]. This is a major challenge for many sub-Saharan countries in the wake of the rising prevalence of diabetes [1, 11, 12] because sub-Saharan Africa is faced with inadequate facilities/resources, inadequately skilled staff, and lack of resources for diabetes education [1113, 1].

There is, however, limited data regarding the frequency of adherence to self-care behaviours in individuals with type 2 diabetes in the sub-Saharan region including Ghana. The few studies in Ghana and other parts of the region suggests that diabetes patients adherence to self-care behaviours is low [1418]. Ayele et al [14] reported self-care behaviour adherence of 39.2% in a sample of type 2 diabetes in Ethiopia. A cross-sectional study among a sample of type 2 diabetes patients in Nigeria found 67.4% reporting complete adherence to dietary treatment regimens [18].

A number of factors have been shown to be associated with adherence to self-care behaviours. Previous research has found an association between self-care behaviours and patients’ demographic characteristics such as age, gender, and education; doctor-patient relationships; psychological stress; and social support/context [19, 20]. Most of these studies were conducted in western countries. Our understanding of how patient demographic characteristics may be associated with self-care behaviours in type 2 diabetes in the sub-Saharan African settings is limited.

One other factor that could also influence adherence to self-care behaviours in individuals with type 2 diabetes is excess weight. Overweight and obesity are common in individuals with type 2 diabetes [21, 22]. However, only one study [23] has evaluated the association between self-care behaviours and body mass index (BMI) and waist circumference (WC) in type 2 diabetes patients in which those with BMI ≥35 Kg/m2 compared to those with BMI < 35 Kg/m2 were less likely to achieve healthy diet and exercise targets. Consequently, there is limited data regarding the influence of body weight on adherence to self-care behaviours in type 2 diabetes. The aims of this study are to describe:

  1. 1.

    Ghanaian type 2 diabetes patients’ adherence to the following self-care behaviours: diet, exercise, SMBG and foot care.

  2. 2.

    The association between adherence to self-care behaviours and patients’ demographic characteristics (including age, gender, education, and religion)

  3. 3.

    The association between adherence to self-care behaviours and body weight measured by body-mass index (BMI) and waist circumference.

Methods

Participants and setting

Participants in this cross-sectional study were type 2 diabetes patients seeking care from the out-patient diabetes clinics of the Tamale Teaching Hospital, Tamale West and Central Hospitals located in the Tamale Metropolis of Ghana. These hospitals have weekly diabetes clinics to provide care to diabetes patients. Tamale is located approximately 500 km North of Accra, Ghana’s capital. It is the administrative capital of the Northern Region of Ghana and inhabited by people of both urban and rural backgrounds.

Patients were eligible to participate if they: had a confirmed diagnosis of type 2 diabetes; self-reported healthcare professional diagnosis of type 2 diabetes; and sought care from the diabetes clinic at least twice during the last 12 months and were registered with the specific hospital. Patients were excluded if they: had type 1 diabetes; were younger than 18 years and/or were diagnosed with diabetes before the age of 30 years.

Procedures

Letters were written to the heads of the diabetes clinics through the heads of the hospitals to seek permission for the study to be conducted on the premises. From May to June, 2015, trained research assistants visited the outpatient diabetes clinic weekly on days scheduled by the hospitals for the purposes of providing care to out-patient diabetes patients to recruit patients for the study. The research assistants approached patients while they waited for their medical consultation or after their consultation, to introduce the study to them and seek their consent to participate. Participants who agreed to participate were taken through the consent processes and subsequently given a survey to complete. Participants were advised that participation in the study was voluntary. The survey was paper-based and was self-administered to participants who could read and write in English. For those who could not read nor write in English, trained research assistants assisted them to complete the survey by translating the questions into their respective local dialects. This was observed in less than 10% of the participants. The survey took approximately 20 min to complete.

Weight, height and waist circumference were also measured by the trained research assistants after participants had completed the survey. These measurements were conducted in a secluded room at the hospital. The research was approved by the research department of the Tamale Teaching Hospital, the Ethics Committee of the School of Allied Health Sciences of the University for Development Studies and the Human Research Ethics Committee of the University of Newcastle.

Measures

Self-care behaviours: The revised version of the Summary of Diabetes Self-Care Activities (SDSCA) questionnaire [24] was used to measure participants’ self-reported frequency of adhering to self-care behaviours. The SDSCA assesses participants’ frequency of engaging in diabetes self-care behaviours such as following a general diet (i.e. following healthy eating plan) and a specific diet (i.e. consuming fruits and vegetables and reducing the consumption of high fatty foods); exercising at least 30 min per day; SMBG; foot care; and not smoking cigarettes. Participants were asked to indicate the number of days they engaged in each of the self-care behaviours for the past 7 days. The greater the number of days reported for a behaviour the better the self-care. The validity and reliability of the SDSCA have been found to be acceptable with both European and African American diabetes patients [24, 25]. The SDSCA has demonstrated adequate test-retest reliability and evidence of validity and sensitivity to change in a number of studies [2632]. Previous studies that investigated adherence to self-care behaviours using the SDSCA did not report not smoking cigarette as a self-care behaviour [25, 33]. Hence, not smoking cigarette was not reported as a self-care behaviour but as a demographic factor.

BMI: Weight was measured without shoes and wearing light clothing to the nearest kilogram using the United Nations Children’s Fund (UNICEF) electronic scale manufactured by Seca. Height was measured without shoes to the nearest centimetre using a wall-mounted standardized microtoise manufactured by Seca. BMI was calculated as body weight in kilograms divided by the squared value of body height in meters (kg/m2) and categorized into underweight (BMI ≤ 18.5Kg/m2), normal weight (18.5–24.9 Kg/m2), overweight (25.0–29.9 Kg/m2) and obese (≥30 Kg/m2) based on the World Health Organization (WHO) criteria [34].

Waist circumference (WC): was measured midway between the inferior angle of the ribs and the suprailiac crest [35] to the nearest 1 cm using a non-stretchable fibre-glass measuring tape (Butterfly, China). Participants stood in an upright position, with arms relaxed at the side, feet evenly spread apart and body weight evenly distributed in accordance with the WHO expert consultation report on waist circumference and waist-to-hip ratio [35]. Abdominal obesity was determined as a waist circumference >102 cm in men and >88 cm in women according to the WHO cut-off points and risk of metabolic complications for waist circumference [35].

Demographic characteristics: Age (continuous), gender, duration of diabetes since diagnosis (years), family history (yes/no), educational status (years), marital status (married and not married) and religious status (Christianity, Islamic and African traditional religion) were self-reported.

Statistical analysis

All data were analysed using IBM SPSS version 20.0. Means and standard deviations were used to describe all continuous variables including self-care behaviours, age, duration of diabetes since diagnosis, number of cigarettes smoked per day, weight, and height. Categorical variables were reported as frequencies and percentages. Univariate associations were examined between demographic or anthropometric variables, and self-care behaviours using independent t-tests (for categorical variables) and Pearson correlations (for continuous variables).

To identify factors associated with self-care behaviours, variables that were significant in the univariate associations were entered as independent variables into stepwise regression models using forward selection. Each of the four self-care behavior scores (i.e. diet, exercise, SMBG and foot care) were included as dependent variables in separate regression models (i.e. four models in total). In all statistical analysis, a p < 0.05 was considered significant.

Results

Demographic and anthropometric variables

Of 201 patients approached, 190 (95%) consented, however, only 187 (98%) contained sufficient data for inclusion in the analysis. The demographic characteristics and anthropometric measurements of the sample are presented in Table 1. The majority of participants were female, older than 50 years, married, and followed the Islamic religion. One-third reported having diabetes for over 5 years and 38.5% had a family history of diabetes. Only three participants reported smoking cigarettes.

Table 1 Participant demographic and anthropometric characteristics (n = 187)

Adherence to self-care behaviours

Table 2 presents the mean number of days each diabetes self-care behaviour was reported as being performed during the last 7 days. It also specifies the percentage of participants that reported performing each of these behaviours daily. The most commonly performed diabetes self-care behaviour was participation in a specific exercise session (5.19 (2.24)) days per week) and the least was testing blood sugar level according to the number of times recommended by a health provider (2.12 (0.69)) days per week). Only 1 patient performed self-monitoring of blood glucose (SMBG) daily; 26 (13.9%) checked their feet daily and 18(9.6%) inspected the inside of their shoes every day.

Table 2 Participant frequency of adhering to self-care behaviours (n = 187)

Associations between participant characteristics and self-care behaviours

Univariate associations among participant characteristics and self-care behaviours

Frequency of participation in a diabetes self-care behaviour defined by number of days per week was analysed according to demographic variables. Men (2.36 (1.02) days per week) reported greater mean (SD) days per week for blood glucose testing than women (2.07 (0.40) days per week), t (184) = 0.007. Age, marital status, duration of diabetes, family history, religious following, BMI (normal/overweight/obese) and WC (abdominally obese vs not) were not associated to frequency of participation in any of the self-care behaviours.

Multivariate associations between participant characteristics and self-care behaviours

Table 3 presents the regression models of factors associated with adherence to the four self-care behaviours. Number of years in school was associated with frequency of adhering to diet (r = 0.223, p = 0.002), exercise (r = 0.168, p = 0.022), and foot care (r = 0.153, p = 0.037). Male gender was associated with higher frequency of performing SMBG (r = 0.198, p = 0.007).

Table 3 Factors associated with participant frequency of adhering to self-care behaviours

Discussion

This study described-the frequency of adhering to four self-care behaviours in adult Ghanaian type 2 diabetes patients and factors associated with performing these self-care behaviours. Exercise was the most commonly performed self-care behaviour and SMBG was the least adhered to by the participants. More education and being female were associated with adherence to self-care behaviours. Given that self-care is a multidimensional concept, factors associated with each of the four self-care behaviours were investigated separately using multivariate analysis: diet; exercise; SMBG and foot care.

Self-care behaviours

Exercise

The frequency of exercise reported in this study is one of the highest reported among type 2 diabetes patients. Participants performed physical activity of at least 30 min for an average of 4.37 days per week. This is higher than the 2.7 days reported among both African American type 2 diabetes patients [25] and diabetic patients from three rural Appalachian communities [33]. These findings are however consistent with those among type 2 diabetes patients in Ethiopia [36] and immigrant Filipino Americans living with diabetes [37]. The relatively high exercise adherence in this study could be due to most patients generally having to walk for transport. Despite the relatively high mean number of days of performing physical activity in this study, less than 35% of the participants exercised for 30 min daily or participated in a specified exercise session every day during the past week. Several barriers may have prevented daily adherence to physical activity including the risk of hypoglycemia; inadequate access to conducive environment and facilities to perform physical activity and fear of increasing blood pressure [3740].

Diet

The frequency of following general (4.37 days per week) and specific diet (4.44 days per week) in these type 2 diabetes patients is similar to the 4.1 days per week found among a rural population of diabetes patients [33]; and 4.37 days and 4.09 days per week following general and specific diets respectively among diabetes patients with a rural background [41]. These findings are however lower than those reported among African American type 2 diabetes patients [25]; in type 2 diabetes patients from an urban setting in the US [41] and Chinese American type 2 diabetes patients [42]. The patients’ performance on specific self-care behaviours for diet were less desirable: less than 15% of them ate fruits and vegetables on a daily basis and less than one-third followed a healthy eating plan daily. Seasonality of fruits and vegetables and cost might have contributed to the low adherence to diet.

Self-monitoring of blood glucose

Decreased ability to adjust medication dosages, dietary intake and physical activity could arise, if SMBG is not performed as recommended [37]. Despite this, SMBG was the least performed self-care behaviour in these Ghanaian type 2 diabetes patients with only 1 patient doing SMBG daily. This is among the lowest frequency of performing SMBG among type 2 diabetes patients in sub-Saharan Africa and other parts of the world. In type 2 diabetes patients in Harari, Eastern Ethiopia, 2.6% of a sample of type 2 diabetes patients performed SMBG daily [43]. African American diabetes patients reported an average of 4.7 days per week of performing SMBG in a cross-sectional study in the US [25]. Furthermore, a study of type 2 diabetes in low-income urban Puerto Ricans in the US, found that 60% of the participants performed SMBG once or twice daily [44]. The current findings are only similar to those reported among rural diabetes patients in the US in which participants reported an average of 2.15 days per week of performing SMBG [33]. Inadequate access to glucose monitoring machines, cost of test strips and needles, lack of requisite knowledge and skills to perform and interpret SMBG readings; lack of provider support; fear of testing and pain and preference for traditional and alternative medicine [4549] may be responsible for the low SMBG in Ghanaian type 2 diabetes patients.

Foot care

Participants’ frequency of checking their feet in the last 7 days was lower than the 4.33 [41] and 4.8 days [25] per week, and the 42.1% who checked their feet per day [42] reported in previous research. Similar low levels of foot care practices have been reported previously [16, 50] in Sub-Saharan diabetes patients. Several factors could contribute to the low practice of foot care in these type 2 diabetes population including lack of knowledge on how to perform foot care [16, 50]; poor provider-patient communication; inconvenience for work; and poverty affecting patient’s inability to purchase appropriate footwear [16].

Factors associated with self-care behaviours

The study results suggest that number of years of education plays an important role in diabetes self-care behaviours such as diet, exercise and foot care. These findings concur with those of previous studies reported among type 2 diabetes patients in Sub-Saharan Africa [36, 50] and from China [42, 51]. Patients with more years of education may be more likely to comprehend recommended self-care behaviours than their less educated counterparts because they may be able to read and become more informed of the benefits of adherence. This is a cause of concern since the majority of the Ghanaian adults with type 2 diabetes and those reported previously are usually less educated [22, 52, 53]. Unavailability of linguistically and culturally relevant diabetes self-care education resources in the Ghanaian setting, as well as patients’ inability to interact with healthcare providers due to low literacy may be some of the factors that makes it difficult for effective counselling on self-care behaviours. Inadequate awareness of health concepts may also be another contributing factor.

It was also found that gender plays an important role in SMBG in that men were more likely than women to perform SMBG. A qualitative study from Canada [54] reported that while women were more concerned with their fears and anxieties, men focused on the technical aspects of SMBG and were more likely to experiment with SMBG. Thus, women may have less confidence to use glucometers resulting in their reluctance to perform SMBG. Furthermore, women also receive less family support for self-care; may lack confidence; may self-blame themselves more for the condition and may also allow the needs of children and spouses to take precedence over their needs [25, 55, 56]. It is imperative that providers are aware of the gendered dimensions in diabetes self-care and address these in their counselling sessions with patients [55].

Association between adherence to self-care behaviours and body weight

Contrary to the findings of Dixon et al. [23] in Australia, BMI and WC were not significantly associated to any of the self-care behaviours investigated in this study. The diabetes populations of the Dixon et al study and the current study could differ in their perception of the health risks of excess body weight. Excess body weight is generally considered as a sign of beauty, affluence and well-being in most parts of sub-Saharan African countries including Ghana [57, 58] but generally considered a health risk in many developed countries including Australia. Thus the diabetes population of the current study might be less concerned about their body weight and less likely to adopt strategies to control it.

Strengths and Limitations

This is the first study to investigate more than one self-care behaviour in type 2 diabetes patients in Ghana. Another strength of the study is the use of a reliable, valid and widely used instrument for the assessment of self-care behaviours in diabetes patients. The main limitations of the study are the cross-sectional design, which cannot establish causality, and use of self-report to measure adherence, making it liable to social desirability bias. Although social desirability bias might have occurred, the self-reported self-care behaviours were, in general, low. In addition, our findings regarding SMBG would have been easier to interpret if we had collected information as to how many of our type 2 diabetes patients owned glucometers. Women and those with less education appeared to be over-represented in the sample, which may limit the generalizability of the results. However, our diabetes patient population had similar characteristics with diabetes populations reported in studies from other parts of Ghana [22, 59].

Implications and future research

Given the link between self-care behaviours and health outcomes of diabetes patients, the low adherence found in this study is a concern. Effective strategies are needed to help improve the diabetes self-care behaviours of adult Ghanaian type 2 diabetes patients. Our findings could be relevant to the type 2 diabetes patient population of several developing countries with challenged health systems like Ghana. Future research should explore both patient and provider barriers to performing effective self-care behaviours in diabetes patients. Such data will inform the design of tailored interventions to improve adherence to self-care behaviours. There is also a need to conduct more research about how to effectively communicate about self-care behaviour with populations who have low literacy or health literacy. In addition future studies should explore the effect of performing recommended self-care behaviours on clinical outcomes of diabetes patients in the Ghanaian setting.

Conclusion

This study has shown that the performance of self-care behaviours, SMBG and foot care in particular, are sub-optimal among Ghanaian adults with type 2 diabetes. The sociodemographic factors associated with poor adherence were lower levels of education and female gender. Further research to identify the barriers to effective self-care behaviours, particularly among those with a lower educational level and women, is warranted.

Abbreviations

BMI:

Body mass index

SDSCA:

Summary of diabetes self-care activities measure

SMBG:

Self-monitoring of blood glucose

SPSS:

Statistical Program for the Social Sciences

UNICEF:

United Nations Children’s Fund

WC:

Waist circumference

WHO:

World Health Organization

References

  1. Mbanya JC, Motala AA, Sobngwi E, Assah FK, Enoru ST. Diabetes in sub-Saharan Africa. Lancet. 2010;375:2254–66.

    Article  PubMed  Google Scholar 

  2. IDF: IDF Diabetes Atlas 6th Edition. In: IDF Edited by Guariguata L, Nolan T, Beagley J, Linnenkamp U, Jacqmain O, International Diabetes Federation. IDF diabetes atlas. vol. 6th Edition; Brussels: International Diabetes Federation; 2013. p. 1–159.

  3. Dodu S. The incidence of diabetes mellitus in Accra (Ghana). West Afr Med J. 1958;7:129–34.

    CAS  PubMed  Google Scholar 

  4. International Diabetes Federation. IDF Diabetes Atlas: Country summary table: estimates for 2014. 6th ed. IDF. Brussels. Retrieved from https://www.idf.org/sites/default/files/Atlas-poster-2014_EN.pdf.

  5. American Diabetes Association. Standards of medical care in diabetes—2014. Diabetes Care. 2014;37:S14–80.

    Article  Google Scholar 

  6. Inzucchi SE, Bergenstal RM, Buse JB, Diamant M, Ferrannini E, Nauck M, Peters AL, Tsapas A, Wender R, Matthews DR. Management of hyperglycemia in type 2 diabetes: a patient-centered approach position statement of the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD). Diabetes Care. 2012;35:1364–79.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Ilanne-Parikka P, Eriksson JG, Lindström J, Peltonen M, Aunola S, Hämäläinen H, Keinänen-Kiukaanniemi S, Laakso M, Valle TT, Lahtela J. Effect of lifestyle intervention on the occurrence of metabolic syndrome and its components in the Finnish Diabetes Prevention Study. Diabetes Care. 2008;31:805–7.

    Article  PubMed  Google Scholar 

  8. Stratton IM, Adler AI, Neil HAW, Matthews DR, Manley SE, Cull CA, Hadden D, Turner RC, Holman RR. Association of glycaemia with macrovascular and microvascular complications of type 2 diabetes (UKPDS 35): prospective observational study. BMJ. 2000;321:405–12.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Malone JM, Snyder M, Anderson G, Bernhard VM, Holloway GA, Bunt TJ. Prevention of amputation by diabetic education. Am J Surg. 1989;158:520–4.

    Article  CAS  PubMed  Google Scholar 

  10. Stellefson M. The chronic care model and diabetes management in US primary care settings: a systematic review. Prev Chronic Dis. 2013;10:E26.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Park PH, Wambui CK, Atieno S, Egger JR, Misoi L, Nyabundi JS, Pastakia SD, Bloomfield GS, Kamano JH. Improving diabetes management and cardiovascular risk factors through peer-led self-management support groups in Western Kenya. Diabetes Care. 2015;38:e110–1.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Osei K, Schuster DP, Amoah AG, Owusu SK. Pathogenesis of type 1 and type 2 diabetes mellitus in sub-Saharan Africa: implications for transitional populations. Eur J Cardiovasc Risk. 2003;10:85–96.

    Article  Google Scholar 

  13. Levitt NS. Diabetes in Africa: epidemiology, management and healthcare challenges. Heart. 2008;94:1376–82.

    Article  CAS  PubMed  Google Scholar 

  14. Ayele K, Tesfa B, Abebe L, Tilahun T, Girma E. Self care behavior among patients with diabetes in Harari, Eastern Ethiopia: The health belief model perspective. PLoS One. 2012;7:e35515.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Worku A, Abebe SM, Wassie MM. Dietary practice and associated factors among type 2 diabetic patients: a cross sectional hospital based study, Addis Ababa, Ethiopia. SpringerPlus. 2015;4:15.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Seid A, Tsige Y. Knowledge, practice, and barriers of foot care among diabetic patients attending Felege Hiwot Referral Hospital, Bahir Dar, Northwest Ethiopia. Adv Nurs. 2015;934623:9.

    Google Scholar 

  17. Amoah AG. Sociodemographic variations in obesity among Ghanaian adults. Public Health Nutr. 2003;6:751–7.

    Article  PubMed  Google Scholar 

  18. Emmanuel OO, Otovwe A. Patterns of adherence to management among patients with type 2 diabetes mellitus in South-South Region of Nigeria. J Soc Health Diabetes. 2015;3:115.

    Article  Google Scholar 

  19. Glasgow RE. A practical model of diabetes management and education. Diabetes Care. 1995;18:117–26.

    Article  CAS  PubMed  Google Scholar 

  20. Cox DJ, Gonder-Frederick L. Major developments in behavioral diabetes research. J Consult Clin Psychol. 1992;60:628.

    Article  CAS  PubMed  Google Scholar 

  21. Mogre V, Apala P, Nsoh JA, Wanaba P. Adiposity, hypertension and weight management behaviours in Ghanaian type 2 diabetes mellitus patients aged 20–70 years. Diabetes Metab Syndr. 2016;10:S79–85.

    Article  PubMed  Google Scholar 

  22. Danquah I, Bedu-Addo G, Terpe KJ, Micah F, Amoako YA, Awuku YA, Dietz E, van der Giet M, Spranger J, Mockenhaupt FP. Diabetes mellitus type 2 in urban Ghana: characteristics and associated factors. BMC Public Health. 2012;12:210.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Dixon J, Browne J, Mosely K, Rice T, Jones K, Pouwer F, Speight J. Severe obesity and diabetes self-care attitudes, behaviours and burden: implications for weight management from a matched case-controlled study. Results from Diabetes MILES—Australia. Diabet Med. 2014;31:232–40.

    Article  CAS  PubMed  Google Scholar 

  24. 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.

    Article  CAS  PubMed  Google Scholar 

  25. Tang TS, Brown MB, Funnell MM, Anderson RM. Social support, quality of life, and self-care behaviors among African Americans with type 2 diabetes. Diabetes Educ. 2008;34:266–76.

    Article  PubMed  Google Scholar 

  26. Glasgow RE, Toobert DJ, Hampson SE, Brown JE, Lewinsohn PM, Donnelly J. Improving self-care among older patients with type II diabetes: the “Sixty Something…” Study. Patient Educ Couns. 1992;19:61–74.

    Article  CAS  PubMed  Google Scholar 

  27. Glasgow RE, La Chance P-A, Toobert DJ, Brown J, Hampson SE, Riddle MC. Long term effects and costs of brief behavioural dietary intervention for patients with diabetes delivered from the medical office. Patient Educ Couns. 1997;32:175–84.

    Article  CAS  PubMed  Google Scholar 

  28. Fell EG, Glasgow RE, Boles S, McKay HG. Who participates in Internet-based self-management programs? A study among novice computer users in a primary care setting. Diabetes Educ. 2000;26:806–11.

    Article  Google Scholar 

  29. Glasgow RE, Toobert DJ. Brief, computer-assisted diabetes dietary self-management counseling: effects on behavior, physiologic outcomes, and quality of life. Med Care. 2000;38:1062–73.

    Article  CAS  PubMed  Google Scholar 

  30. Glasgow RE, Barrera Jr M, McKay HG, Boles SM. Social support, self-management, and quality of life among participants in an internet-based diabetes support program: a multi-dimensional investigation. CyberPsychol Behav. 1999;2:271–81.

    Article  CAS  PubMed  Google Scholar 

  31. Glasgow RE, Strycker LA, Toobert DJ, Eakin E. The Chronic Illness Resources Survey: a social-ecologic approach to assessing support for disease self-management. J Behav Med. 2000;23:559–83.

    Article  CAS  PubMed  Google Scholar 

  32. Wagner EH, Grothaus LC, Sandhu N, Galvin MS, McGregor M, Artz K, Coleman EA. Chronic Care Clinics for Diabetes in Primary Care A system-wide randomized trial. Diabetes Care. 2001;24:695–700.

    Article  CAS  PubMed  Google Scholar 

  33. Irvine AA. Self care behaviors in a rural population with diabetes. Patient Educ Couns. 1989;13:3–13.

    Article  Google Scholar 

  34. WHO. Obesity: preventing and managing the global epidemic. Geneva: WHO; 2000.

    Google Scholar 

  35. WHO. Waist Circumference and Waist–Hip Ratio: Report of a WHO Expert Consultation. Geneva: WHO; 2008.

    Google Scholar 

  36. Berhe K, KahsayBA GB. Adherence to diabetes self-management practices among Type II diabetic patients in Ethiopia: A Cross Sectional Study. Green J Med Sci. 2013;3:211–21.

    Google Scholar 

  37. Jordan DN, Jordan JL. Self-care behaviors of Filipino-American adults with type 2 diabetes mellitus. J Diabetes Complications. 2010;24:250–8.

    Article  PubMed  Google Scholar 

  38. Booth AO, Lowis C, Dean M, Hunter SJ, McKinley MC. Diet and physical activity in the self-management of type 2 diabetes: barriers and facilitators identified by patients and health professionals. Prim Health Care Res Dev. 2013;14:293–306.

    Article  PubMed  Google Scholar 

  39. Sigal RJ, Armstrong MJ, Colby P, Kenny GP, Plotnikoff RC, Reichert SM, Riddell MC, Committee CDACPGE. Physical activity and diabetes. Can J Diabetes. 2013;37:S40–4.

    Article  PubMed  Google Scholar 

  40. Dubé M-C, Valois P, Prud’Homme D, Weisnagel S, Lavoie C. Physical activity barriers in diabetes: development and validation of a new scale. Diabetes Res Clin Pract. 2006;72:20–7.

    Article  PubMed  Google Scholar 

  41. Shaw BA, Gallant MP, Riley-Jacome M, Spokane LS. Assessing sources of support for diabetes self-care in urban and rural underserved communities. J Community Health. 2006;31:393–412.

    Article  PubMed  Google Scholar 

  42. Xu Y, Pan W, Liu H. Self-management practices of Chinese Americans with type 2 diabetes. Nurs Health Sci. 2010;12:228–34.

    Article  PubMed  Google Scholar 

  43. Wabe NT, Angamo MT, Hussein S. Medication adherence in diabetes mellitus and self management practices among type-2 diabetics in Ethiopia. North Am J Med Sci. 2011;3:418.

    Article  Google Scholar 

  44. Von Goeler DS, Rosal MC, Ockene JK, Scavron J, De Torrijos F. Self-management of type 2 diabetes: a survey of low-lncome urban Puerto Ricans. Diabetes Educ. 2003;29:663–72.

    Article  Google Scholar 

  45. Ong WM, Chua SS, Ng CJ. Barriers and facilitators to self-monitoring of blood glucose in people with type 2 diabetes using insulin: a qualitative study. Patient Prefer Adher. 2014;8:237.

    Google Scholar 

  46. Scorpiglione N, El-Shazly M, Abdel-Fattah M, Belfiglio M, Cavaliere D, Carinci F, Labbrozzi D, Mari E, Benedetti MM, Tognoni G. Epidemiology and determinants of blood glucose self-monitoring in clinical practice. Diabetes Res Clin Pract. 1996;34:115–25.

    Article  CAS  PubMed  Google Scholar 

  47. Wijesinha S. Self-monitoring of blood glucose among diabetes patients attending government health clinics. Med J Malaysia. 2007;62:147.

    PubMed  Google Scholar 

  48. Snoek F, Malanda U, de Wit M. Self-monitoring of blood glucose: psychological barriers and benefits. Eur Diabetes Nurs. 2008;5:112–5.

    Article  Google Scholar 

  49. Majikela-Dlangamandla B, Isiavwe A, Levitt N. Diabetes monitoring in developing countries. Diabetes Voice. 2006;51:28–31.

    Google Scholar 

  50. Desalu O, Salawu F, Jimoh A, Adekoya A, Busari O, Olokoba A. Diabetic foot care: self reported knowledge and practice among patients attending three tertiary hospital in Nigeria. Ghana Med J. 2011;45(2):60–5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  51. Huang M, Zhao R, Li S, Jiang X. Self-management behavior in patients with type 2 diabetes: a cross-sectional survey in western urban China. PLoS One. 2014;9(4):e95138.

    Article  PubMed  PubMed Central  Google Scholar 

  52. Mogre V, Abedandi R, Salifu ZS. Distorted self-perceived weight status and underestimation of weight status in diabetes mellitus type 2 patients. PLoS One. 2014;9:e95165.

    Article  PubMed  PubMed Central  Google Scholar 

  53. Mogre V, Nsoh JA, Wanaba P, Apala P. Demographic factors, weight management behaviours, receipt of healthcare professional’s counselling and having knowledge in basic anthropometric measurements associated with underassessment of weight status in overweight and obese type 2 diabetes patients. Obes Res Clin Pract. 2015;10:381–9.

  54. Mathew R, Gucciardi E, De Melo M, Barata P. Self-management experiences among men and women with type 2 diabetes mellitus: a qualitative analysis. BMC Fam Pract. 2012;13:122.

    Article  PubMed  PubMed Central  Google Scholar 

  55. Gucciardi E, Fortugno M, Senchuk A, Beanlands H, McCay E, Peel EE. Self-monitoring of blood glucose in Black Caribbean and South Asian Canadians with non-insulin treated Type 2 diabetes mellitus: a qualitative study of patients’ perspectives. BMC Endocr Disord. 2013;13:46.

    Article  PubMed  PubMed Central  Google Scholar 

  56. Lopez-Class M, Jurkowski J. The limits of self-management: community and health care system barriers among Latinos with diabetes. J Hum Behav Soc Environ. 2010;20:808–26.

    Article  PubMed  PubMed Central  Google Scholar 

  57. Wahab KW, Sani MU, Yusuf BO, Gbadamosi M, Gbadamosi A, Yandutse MI. Prevalence and determinants of obesity-a cross-sectional study of an adult Northern Nigerian population. Int Arch Med. 2011;4:10.

    Article  PubMed  PubMed Central  Google Scholar 

  58. Addo J, Smeeth L, Leon D. Obesity in urban civil servants in Ghana: association with pre-adult wealth and adult socio-economic status. Public Health. 2009;123:365–70.

    Article  CAS  PubMed  Google Scholar 

  59. Amoah AG, Owusu SK, Adjei S. Diabetes in Ghana: a community based prevalence study in Greater Accra. Diabetes Res Clin Pract. 2002;56:197–205.

    Article  PubMed  Google Scholar 

Download references

Acknowledgement

Authors wish to thank the Department of Community Nutrition of the University for Development Studies, the Tamale Teaching Hospital, Tamale Central and West Hospitals, Ghana for their administrative support in helping to facilitate the activities of the study. Authors also wish to acknowledge infrastructure support from the Hunter Medical Research Institute, Australia. CP was supported by an NHMRC career development fellowship and authors wish to acknowledge the council.

Funding

Not applicable.

Availability of data and materials

Data is available upon request from the corresponding author.

Authors’ contribution

VM conceived and designed the study, performed data analysis, interpretation, and drafting of manuscript; ZOA collected data; FT, NAJ & CP jointly undertook critical revision of the manuscript. All authors approved the manuscript for publication.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Not applicable.

Ethics approval and consent to participate

Ethical approval for this study was granted by the research department of the Tamale Teaching Hospital, the Ethics Committee of the School of Allied Health Sciences of the University for Development Studies and the Human Research Ethics Committee of the University of Newcastle. The data was handled anonymously and confidentially.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Victor Mogre.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mogre, V., Abanga, Z.O., Tzelepis, F. et al. Adherence to and factors associated with self-care behaviours in type 2 diabetes patients in Ghana. BMC Endocr Disord 17, 20 (2017). https://doi.org/10.1186/s12902-017-0169-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12902-017-0169-3

Keywords