Abstract
This study explored how engaging in daily activities affects diabetes self-management for people living with Type 2 diabetes mellitus and which activities might help the most.
Diabetes is a chronic condition that occurs when blood glucose levels are too high because of insufficient insulin production by the pancreas. Insulin is a hormone that helps the body use glucose for energy and nutrients for growth. Over time, high blood glucose levels can severely damage the heart, blood vessels, eyes, kidneys, and nerves. There are two main types of diabetes: Type 1 (no insulin production) and Type 2 (insufficient insulin; National Diabetes Audit [NDA], 2018). Type 2 diabetes mellitus (T2DM) is one of the world’s most common (World Health Organization [WHO], 2023) and most challenging public health problem, given its high incidence and the diverse, widespread morbidity it causes (American Diabetes Association [ADA] Professional Practice Committee, 2024; NDA, 2018). In 2021, about 548,000 adults in Israel had a diagnosis of diabetes, with a prevalence rate of 9.8% in the 18-yr-and-older age group (Knesset, 2023). A complex and challenging condition, T2DM involves many nonmodifiable risk factors, such as age, family history, and ethnic background, as well as modifiable factors, such as obesity, physical inactivity, and unhealthy diet (Shaw & Chisholm, 2003).
Management for T2DM focuses on modifiable factors and adopting and maintaining healthy lifestyle choices. In addition, frequent social support, contacts, and planned and established behavior change techniques are important in delaying and treating T2DM. Sustaining the recommended diabetes self-management (DSM) lifestyle is essential for achieving balanced glucose levels. This lifestyle includes DSM activities like monitoring glucose, managing nutrition and medication, engaging in physical activity, attending regular health care checkups, emotional coping, educated problem-solving, and reducing risk in unexpected situations (American Association of Diabetes Educators [AADE], 2017; ADA Professional Practice Committee, 2024).
A vast and growing body of literature has linked performing DSM activities with better T2DM outcomes. For example, research has associated the self-monitoring of blood glucose with short-term reductions in average blood glucose or glycated hemoglobin (HbA1c) levels, especially among individuals with high baseline levels of HbA1c (Machry et al., 2018). Dietary changes and nutrition management were also shown to reduce blood glucose levels toward target levels (Szczerba et al., 2023). Similarly, engaging in exercise and physical activity was associated with positive changes in blood glucose levels and cardiometabolic indicators among people with T2DM (Shah et al., 2021). The research on engaging in regular health care checkups has focused mainly on the effects of missing medical appointments. However, studies have shown that people with T2DM who frequently attended follow-up appointments had significantly better metabolic outcomes than those with lower follow-up frequencies (Zhao et al., 2022).
Thus, DSM activities are promising predictors of T2DM outcomes. These activities can be integrated into everyday routines and constitute the occupation of managing and maintaining health status (Kleman et al., 2023). However, implementing DSM activities may be insufficient for the substantial proportion of people with T2DM who tend to maintain higher blood glucose levels (Muniyapillai et al., 2024). Systematic reviews have found that DSM activities among people with T2DM are inconsistent and varied. However, the DSM activity of taking medication was relatively higher than engaging in other DSM activities, such as blood glucose checks, nutrition management, physical activity, or foot care (Coyle et al., 2013; Mogre et al., 2019; Paudel et al., 2022). Similar trends were found among people with T2DM in Israel. For example, one study found that Israelis with T2DM who were older than 70 yr performed less than the recommended amount of physical activity but more annual blood tests (Tirosh et al., 2013). Thus, investigating what facilitates and hinders DSM activity performance and glycemic stability for people living with T2DM in Israel is essential from a population health perspective.
Given occupational therapy’s emphasis on promoting health and well-being through engagement in occupations (American Occupational Therapy Association [AOTA], 2020), a critical question for informing occupational therapists’ role in diabetes care is how daily occupations facilitate or hinder DSM performance and affect diabetes-related health outcomes. Studies have associated daily walking with reduced mortality and cardiovascular disease among people with T2DM; however, evidence supporting the benefits of other daily activities, such as gardening and housework, is limited (Hamasaki, 2016). Similarly, a study among older Taiwanese people living with diabetes found that those with more frequent leisure activities had longer healthy life expectancies than those with lower frequency (Huang et al., 2024). Another study with Korean adults (30 yr and older) associated moderate- or high-intensity leisure-time physical activity with better diabetes-related outcomes. In contrast, similarly intense physical activity associated with work (employment) or domestic chores had a negative effect (Oh, 2020).
Overall, this body of literature suggests that diabetes-related health outcomes vary by occupational domain. Different occupations likely positively or negatively affect diabetes-related outcomes by facilitating or hindering DSM performance. To date, few studies have explored the association between daily occupations and DSM activities. For example, one study with healthy African Americans found that engaging in religious rituals and social groups was associated with higher performance in health-promoting activities, such as consuming fruits and vegetables and refraining from alcohol (Holt et al., 2014).
Specific to health-promoting activities for T2DM, a study conducted with Brazilian older adults positively associated their ability to perform basic activities of daily living (ADL), like walking, climbing stairs, bathing, or dressing, with performing DSM activities such as physical activity and foot care (Vicente et al., 2020). Similarly, a study among Turkish adults with T2DM found a significant positive correlation between independence in ADL and self-care agency behaviors (Istek & Karakurt, 2016).
Although these studies offered preliminary evidence of the association between participation in daily occupations and DSM, they focused on the independence-versus-engagement construct in daily life activities. They did not shed light on how specific daily occupations affect DSM performance or explore the relationship between daily occupations and clinical outcomes. This gap in the existing literature is salient, given that self-management is a lifetime endeavor best sustained when incorporated into daily routines (Van de Velde et al., 2019). Nevertheless, multiple reviews (Binesh et al., 2023; Koch et al., 2015; Liddy et al., 2014; Schulman-Green et al., 2016) and qualitative studies (Gardsten et al., 2018) have indicated that the most significant challenge for people with T2DM and other chronic conditions is fitting self-management tasks into their daily occupations and expected societal roles, dampening the effect of clinical outcomes.
In addition to investigating how participation in daily occupations affects DSM performance and related clinical outcomes, it is important to investigate the relationship between occupational participation and health-related quality of life (HRQoL). HRQoL pertains to an individual’s perceived impact of an illness on their physical, mental, and social functioning level (Mewes et al., 2016). As a chronic and complex condition, diabetes influences HRQoL. For example, older adults with diabetes scored lower than those without on the 36-item Short Form Survey (SF–36) physical and mental HRQoL questions (Graham et al., 2007; Svedbo Engström et al., 2019). Another study found that people with diabetes, specifically with HbAc1 higher than 8%, reported lower HRQoL than those with balanced blood glucose (Engel-Yeger et al., 2018). Daily life activities also affect HRQoL for people with diabetes. A study found that leisure, work, outdoor, and social activities explained 18% of the variance in HRQoL among adults with T2DM at a primary care center (Atler et al., 2018). However, to date, these associations have not been explored for adults with T2DM in Israel. A better understanding of the occupations of people with T2DM, how engaging in those occupations affect blood glucose levels, and the degree of DSM performance is needed to inform future service provision so people with T2DM can receive optimal care and support.
Therefore, the current study explored the relationships among participation in daily occupations, DSM performance, HRQoL, and clinical outcomes of Israeli community-dwelling people with T2DM receiving ongoing follow-up care in a public health care diabetes clinic. Specific research questions for adults living with T2DM were as follows: 1. What are the correlations among participation in various daily occupations and T2DM health outcomes (HbA1c, fasting glucose, and body mass index [BMI])? 2. What are the correlations among participation in various daily occupations and DSM activities? 3. What is the correlation between participation in various daily occupations and HRQoL? 4. Which daily occupations predict the performance of DSM?
Method
Design
This was a cross-sectional study with a cohort sample. Participants signed the informed consent form. The Meuhedet Health Services Helsinki Committee approved this study (04-29-06-22).
Participants
The inclusion criteria were people with T2DM, age 21 yr and older, who received ongoing follow-up in a public health care diabetes clinic in Israel. The exclusion criteria were having moderate to severe neurological impairments, active psychiatric illness, or active cancer; needing ongoing nursing care; and having experienced hypoglycemia in the past week. Hypoglycemia was an exclusion criterion because it can temporarily affect cognition and may impair the ability to complete study procedures (Verhulst et al., 2022).
The Meuhedet Health Services Clinic comprises many professional service providers, including endocrinologists, nurses, dietitians, social workers, physical therapists, and occupational therapists. Patients visit the clinic once every 3 to 6 mo according to their medical status and complete a full blood panel as part of their routine visit. The appointment includes a checkup with the clinic’s nurse, doctor, and dietitian. If necessary, these practitioners refer patients to a physical therapist, occupational therapist, or social worker.
Measures
Diabetes Self-Management Questionnaire
The Diabetes Self-Management Questionnaire (DSMQ; Schmitt et al., 2013) is a self-report questionnaire that assesses the degree of performance of DSM activities associated with better glucose levels. It includes 16 items within four subscales—Glucose Monitoring, Nutrition Management, Physical Activity, and Health Care Use—and a summary scale. Each scale score is transformed to a scale from 0 to 10. The DSMQ has demonstrated good internal consistency (α = .84). Confirmatory factor analysis indicated an appropriate fit for the four-factor model. Convergent validity was shown by significant moderate correlations (rs = .52–.58) with the summary of diabetes self-care activities scales and significant low correlations with HbA1c (rs = –.15 to –.22; Schmitt et al., 2013). The internal consistency in the current study was moderate–high (α = .71).
Adult Subjective Assessment of Participation
The Adult Subjective Assessment of Participation (ASAP; Jarus et al., 2005) is a self-report questionnaire that assesses participation in 48 daily activities constituting occupations in nine categories: domestic activities, recreation/leisure, caring for others, learning and applying knowledge, physical activity/sport, self-care activities, quiet activities, spiritual activities, and work and vocation. Respondents use a 9-point scale to report their frequency of participation in each activity over the previous 4 mo. The ASAP has demonstrated good test–retest reliability among healthy people (rs = .55–1.00; Jarus et al., 2006) and good construct validity by factor analysis confirming the occupation categories (eigenvalues = 2.12–5.79; Jarus et al., 2005). Its discriminant validity was demonstrated by the ASAP domain frequency’s ability to distinguish between people with mental disability, people with physical disability, older adults, and healthy adults (Jarus et al., 2006). We used the intensity (frequency) dimension of participation, calculated by computing the summary score of all activities in each occupational category. The total of the nine occupational category scores represented total participation.
12-Item Short-Form Health Survey
The 12-item Short-Form Health Survey (SF–12) is a generic self-report questionnaire with 12 items encompassing physical and psychological HRQoL aspects. It was developed as a shorter alternative to the SF–36 (Jenkinson et al., 1997; Ware & Sherbourne, 1992). Two HRQoL scores are derived from the SF–12: the physical component summary (PCS) and the mental component summary (MCS). The scores range from 0 to 100, with higher scores indicating higher perceived HRQoL. A high level of concordance has been found between the SF–36 and the SF–12 (Jenkinson et al., 1997). The SF–12 Hebrew translation has shown moderate to high internal test–retest reliability (0.51–0.92; Amir et al., 2002). It has had good convergent validity, demonstrated by a positive correlation with the psychological domain of the WHO’s Quality of Life–BREF measure (r = .63), and good discriminative validity, demonstrated by a negative correlation with the Center for Epidemiological Studies Depression Scale (r = –.69) and Hopkins Symptom Checklist Anxiety scale (r = .53; Amir et al., 2002). In our study, internal consistencies for the PCS and MCS domains were high at .82 and .79, respectively.
Clinical Variables
Glycated Hemoglobin
Glycated hemoglobin (HbA1c) is a check for average blood glucose levels during the previous 2 to 3 mo. An HbA1c below 5.7% is considered within normal limits, 5.7% to 6.4% may indicate prediabetes, and 6.5% or higher may indicate diabetes (NDA, 2018). The target value for people with diabetes is less than 6.5%; achieving that target HbA1c reduces the risk of complications from diabetes (National Institute for Care and Excellence, 2024).
Fasting Glucose
Fasting glucose measures blood glucose after an overnight fast. A level of 99 mg/dL or lower is considered within normal limits, 100 to 125 mg/dL indicates prediabetes, and 126 mg/dL or higher indicates diabetes (Centers for Disease Control and Prevention, 2023). The fasting glucose level is considered the best diagnostic measure for diabetes (Duong et al., 2023) and is affected by the person’s DSM performance on the previous day.
BMI
The BMI measurement is calculated based on weight and height to classify body weight as underweight, average, or overweight. For people 20 yr and older, a BMI of 25.0 to 29.9 indicates being overweight, and 30.0 or more indicates obesity. Weight management is considered a condition-modifying intervention for T2DM, making BMI a vital health indicator (Lingvay et al., 2022).
Procedure
The treating endocrinologist or nurses at the diabetes clinic screened patients attending routine visits for eligibility for participation in this study. Eligible volunteers were provided with a short explanation of the study procedures and invited to complete four questionnaires lasting 30 to 45 min: the DSMQ to assess self-care activities to reduce glucose levels, the ASAP to assess participation in occupations, the SF–12 to assess HRQoL, and a demographic questionnaire. We retrieved the HbA1c, fasting glucose, and BMI clinical variables from the participants’ medical charts.
Analysis
We performed descriptive and inferential statistical analyses using IBM SPSS Statistics (Version 29) with a significance level of p < .05 and Pearson correlations between clinical variables, DSM performance, participation in daily activities, and HRQoL. In addition, we conducted hierarchical linear regression with DSM performance as the dependent variable. Independent variables entered during the first step of the regression model included demographic variables (age, gender, employment, and education). In the second step, the nine ASAP occupational categories (e.g., domestic activities, recreation/leisure, caring for others) were entered stepwise.
Results
The sample included 99 participants. Table 1 shows the sample’s demographic, clinical, and HRQoL characteristics, DSM performance, and participation (ASAP). Most (78.8%) participants lived with partners, children, or caregivers. On average, the clinical indicators of T2DM management were above recommended levels for HbA1c (M = 7.98, SD = 1.89), fasting glucose (M = 141.79, SD = 54.13), and BMI (M = 29.69, SD = 5.45).
Demographic Determinants and Outcome Characteristics (N = 99)
Note. BMI = body mass index; DSM = diabetes self-management.
Maximum possible scores are indicated after the slash when they apply.
Correlations Between Clinical Variables, DSM, and Daily Activities
Table 2 presents correlations between DSM, daily activities, and clinical variables. Significant weak positive correlations were found between the ASAP occupation categories of domestic activities and BMI (r = .218, p = .035), caring for others and BMI (r = .247, p = .016), and caring for others and the DSMQ Physical Activity subscale (r = .218, p = .036). Significant moderate positive correlations were found between the DSMQ Physical Activity subscale and the ASAP recreation/leisure activities (r = .381, p < .001) and ASAP total participation (r = .383, p < .001). Significant weak negative correlations were found between the DMSQ Glucose Monitoring subscale and the ASAP quiet (r = –.277, p = .008) and work activities (r = –.207, p = .048). Significant weak positive correlations were found between the DSMQ total score and the ASAP physical activity (r = .281, p = .007) and nutrition management (r = .240, p = .020) domains.
Correlations Between Diabetes Self-Management, Daily Activities, and Clinical Variables (N = 99)
Note. BMI = body mass index; DSM = diabetes self-management; PCS = physical component summary; MCS = mental component summary.
*p < .05. **p < .01.
Correlations Between Daily Activities and HRQoL
Significant weak-to-moderate positive correlations were found between physical HRQoL and the occupational categories of recreation/leisure (r = .369, p < 001), caring for others (r = .284, p = 005), quiet activities (r = .256, p = .013), work and vocation (r = .386, p < .001), and total participation (r = .377, p < .001). Significant weak positive correlations were found between mental HRQoL and the recreation/leisure (r = .299, p = .004) and total participation (r = .264, p = .011) occupational categories.
Regression Analysis to Explain DSM
Table 3 presents the regression coefficients for DSM. Together, all variables explained 18.5% of the variance in DSM performance. The significant predictors were the ASAP physical activity/sport and quiet activities categories. Performing more physical activity/sport was associated with higher DSMQ scores, b = .281, t(80) = 2.538, p = .013, and explained 7.0% of the variance in DSM, F(1, 80) = 2.649, R 2 = .116, p = .013. Performing more quiet activities was associated with lower DSMQ scores, b = –.312, t(79) = –2.617, p = .011, and explained 6.9% of the variance, F(1, 79) = 3.632, R 2 = .185, p = .011.
Stepwise Regression to Explain Diabetes Self-Management Activity Performance (N = 86)
Note. CI = confidence interval; LL = lower limit; UL = upper limit.
*p < .05. **p < .01.
Discussion
This study aimed to identify relationships between performing various daily occupations, DSM activities, HRQoL, and blood glucose levels of people living with T2DM, most of whom had unbalanced blood glucose levels. The results suggest that engaging in physical activity through daily activities (e.g., caring for a pet, garden, or potted plants) and sports is associated with performing more DSM tasks, and engaging in quiet activities (e.g., reading, watching TV/computer) is associated with fewer DSM tasks. The regression model explained only a small proportion of the variance in DSM, suggesting that additional factors not tested in this study might influence DSM task performance. Thus, it is necessary to investigate other factors that could potentially explain DSM. Interestingly, however, our results demonstrate that some daily occupations have a positive or negative relationship with DSM and HRQoL, and others have ambivalent relationships.
Our regression analyses showed that of the nine ASAP occupation categories, only engaging in physical activity or sport showed a significant positive relationship with DSM tasks overall. Most other occupation categories (e.g., self-care, work, and even social recreation) may be considered obligatory, constituting activities one is required or expected to do. However, engaging in regular physical activity, especially through exercise and sport, stems from a commitment to oneself and calls for discipline and effort. Likely, participants in this study who had found a way to engage regularly in physical activity could transfer that commitment and discipline to completing other DSM activities. This could explain the positive relationship between the physical activity occupation category and the total DSMQ score.
The implications of this finding are aligned with previous research and current recommendations for T2DM management. Earlier studies showed that among people living with T2DM, physical activity—even in small amounts, such as light-intensity walking—can significantly attenuate acute postprandial glucose, insulin, C-peptide, and triglyceride responses compared with prolonged sitting (Dempsey et al., 2016). The ADA recommends moderate-intensity leisure-time physical activity of at least 150 min/wk to manage diabetes because it can help improve blood glucose levels and weight management (AADE, 2017; Colberg et al., 2016). Thus, helping people living with T2DM integrate physical activity into their daily routines could be an important initial goal for occupational therapy intervention.
Our correlation analyses provide further nuances for understanding which occupations might be most helpful in achieving desired physical activity levels. For example, engaging in recreational or leisure occupations was positively correlated with higher DSMQ Physical Activity subscale scores and better mental and physical HRQoL—likely because recreation and leisure occupations indirectly contribute to physical activity. Consistent with this study’s results, the AADE (2017) expanded its description of physical activity to include any daily physical movement, unstructured or structured (e.g., exercise class), to decrease time spent sitting. Qualitative research has suggested that engaging in physical activity with others fosters a sense of mutual commitment, enjoyment, and social interaction, supporting people with T2DM to maintain overall activity levels (Lidegaard et al., 2016). Thus, considering previous research, an important implication of our study is for clinicians to cultivate meaningful active recreation among people with T2DM as a DSM strategy.
This study also found that occupations such as domestic activities, caring for others, and employment had ambivalent relationships with DSM and HRQoL. Domestic activities and caring for others were positively correlated with greater physical HRQoL but also with obesity. A possible explanation might be that although these occupations may be personally fulfilling (explaining the positive correlation with HRQoL), they leave limited time and motivation to engage in DSM activities. Thus, they may contribute to obesity, a known risk factor for the development and progression of diabetes. Furthermore, domestic activities and caring for others involve more intermittent physical effort than sustained exercise. Studies (Hamasaki, 2016; Oh, 2020) showed that moderate- or high-intensity physical activity while doing domestic chores is less efficient for diabetes outcomes than leisure-time physical activity of the same intensity.
In addition, the demands of caregiving can lead to increased stress and, thereby, emotional eating and less time for regular exercise, factors contributing to weight gain (Koumoutzis & Cichy, 2021). The ambivalent relationships in our study align with a previous study showing that, after accounting for nutrition management, physical activity, number of chronic health conditions, and sociodemographic factors associated caregiving with higher odds of obesity and physical activity with lower odds (Ellis et al., 2024). Our findings and those from previous studies underscore the importance of maintaining an occupational balance between obligatory occupations (tending to external needs, such as housework, job tasks, and caring for others) and DSM occupations (tending to one’s own health needs).
Similarly, we found that work-related activities were positively correlated with physical HRQoL but negatively correlated with glucose monitoring. Böheim et al.’s (2023) study showed that being in good physical health was often a prerequisite for workforce participation, which might explain why work was positively associated with physical HRQoL in our study. Conversely, work was also linked with low glucose monitoring, suggesting that it is challenging to integrate glucose monitoring into the workplace routine.
Previous studies also found that work negatively affected diabetes-related outcomes. In one study, adults with Type 1 diabetes and HbA1c above recommended levels (7.3–7.6) who stopped working during the COVID-19 lockdown had better outcomes than those who continued to work (Bonora et al., 2020). Another qualitative study cited psychosocial workplace factors, such as heavy workloads, working environments affording little privacy and hygiene, and workplace norms prioritizing work-related tasks, as detrimentally affecting DSM performance (Loerbroks et al., 2018). An in-depth investigation of the types of glucose monitoring revealed that people with diabetes preferred real-time, intermittent-scan continuous glucose monitoring devices over traditional monitoring because of the equipment, time, and discomfort associated with traditional methods at work (Scharf et al., 2019). Thus, occupational therapists must explore each client’s work role and environment and strategize continuous, convenient, and discreet options for glucose monitoring for those in the labor force. Additional studies are needed to investigate in depth how workforce involvement affects DSM performance and further inform occupational therapy practice with working-age people with T2DM.
Collectively, our findings point to possible competing priorities between self-care plans and other life roles and obligations. Qama et al.’s (2022) scoping review of qualitative evidence on chronic disease management reported a similar finding. It concluded with a call for health professionals to build personalized profiles of patients with chronic health conditions and help them create sustainable routines that balance self-management with other life roles. Although the call was intended for all health professions, occupational therapy practitioners have the well-suited skill set and expertise to fill this gap in chronic care.
People living with diabetes have reported their primary problem as difficulty following a strict treatment plan for the rest of their lives. In addition, the disease-centered health care model lacks dialog and participation in decision-making, hampering the integration of the condition into people’s social and occupational lives (Pera, 2011). Managing a chronic illness requires prioritizing self-care as a primary responsibility, similar to a “job” (Kleman et al., 2023). This concept suggests that people living with diabetes need adjustments and support to make informed decisions about balancing different priorities and performing DSM while maintaining meaningful occupational choices (Fritz, 2014; Pyatak, 2011).
Therefore, it seems reasonable that occupational therapy practitioners and people living with diabetes can benefit from knowing which occupations within people’s routines facilitate or hinder DSM, which is critical for enhancing their persistence with DSM. Qualitative research has consistently emphasized the importance of understanding the typical and atypical life routines among people with diabetes (Chen, 2010). For example, they may change their DSM over time, modifying it in response to factors such as holidays (Coyle et al., 2013). Furthermore, as demonstrated in Luciani et al.’s (2021) study, people with T2DM perceive DSM as a complex and demanding endeavor that includes renouncement (of activities, food, or social relationships), establishment of a routine (making illness visible and helping to negotiate their identity regarding diabetes), and maintenance (by checking health parameters).
Occupational therapy providers are experts in evaluating ADL and routines while examining interactions between an individual’s health, activity, and context, including personal and environmental factors. The occupational therapy profession is concerned with how daily occupations affect health conditions and how chronic health conditions affect a person’s daily life participation and HRQoL (AOTA, 2020). Hence, occupational therapists can respond to the needs of people with T2DM by using a holistic person-centered approach and occupation-focused interventions. This approach comprises strategies such as educating people on the role of activity engagement, providing technological support, and integrating self-management into daily routines while preserving meaningful engagement and enjoyment of other activities (Nielsen & Christensen, 2018). A holistic person-centered approach to achieving glycemic targets is recommended over a glucose-centered model as an integral part of self-care for people with T2DM (Ahmad et al., 2022).
An example of an occupational therapy intervention in this area is the Occupational Therapy Diabetes Self-Management intervention to promote DSM participation, which improved HbA1C and fasting blood glucose levels among study participants with T2DM (Binesh et al., 2023). Another occupation-focused intervention, Integrated Primary Care and Occupational Therapy for Aging and Chronic Disease Treatment to Preserve Independence and Functioning (iPROACTIF), focuses on preserving functional independence through person-centered goal-setting and support for self-managing chronic health conditions. An iPROACTIF feasibility study found high acceptability and satisfaction among its eight participants (Mirza et al., 2020). Another occupational therapy intervention with a bigger sample size and randomized controlled trial, the Resilient, Empowered, Active Living with Diabetes (REAL Diabetes), improves glycemic control and quality of life among young adults with Type 1 or Type 2 diabetes (Pyatak et al., 2018). In sum, self-management interventions with both person-centered and occupation-focused approaches are recommended in occupational therapy for people with chronic conditions. The goal is to help clients establish self-management habits and routines with three main components—education, functional or occupational goal-setting, and problem-solving (Fields & Smallfield, 2022).
Limitations and Future Research
This study’s cross-sectional design precluded examining cause-and-effect relationships between engagement in daily occupations, DSM performance, and T2DM outcomes. In addition, the self-reported nature of the questionnaires might not have captured accurate, objective observations of the study variables. In addition, the ASAP questionnaire has limitations. For example, it does not include questions regarding the type of work individuals perform or capture their satisfaction with daily life activities. Another limitation is that the study included participants with T2DM, most of whom had unbalanced glucose blood levels and came from narrow geographic locations in Israel; therefore, its generalizability to all people with T2DM is limited.
One strength of this study is the accuracy of clinical data from medical charts and the use of standard, valid, and comprehensive questionnaires. Another strength is that the sample included people struggling to balance their blood glucose levels. A more comprehensive sample of people with T2DM and balanced blood glucose levels would increase the generalizability of the study results. Future research would benefit from longitudinal studies examining how clinical variables change with changes in DSM and participation in daily activities. Studies that investigate the moderating effect of occupational contexts on the relationship between DSM and diabetes-related health outcomes (i.e., investigating which occupations strengthen the positive effects of DSM and for which subgroups) are also recommended.
Further qualitative research is necessary to understand better the positive, negative, and ambivalent relationships between specific occupations and DSM. This knowledge can inform future clinical trials of occupation-focused interventions for diabetes management. A few recent studies on occupation-focused interventions have shown promising results for diabetes outcomes such as HbA1c (e.g., Binesh et al., 2023; Rovner et al., 2020), DSM performance, and self-efficacy (e.g., Binesh et al., 2023). These interventions can be further optimized by qualitatively exploring the mechanism by which engaging in specific occupations supports DSM behaviors.
Implications for Occupational Therapy
This study has the following implications for occupational therapy practice: ▪ Occupational therapy interventions should be person-centered, establishing a routine to support each client’s DSM while maximizing their HRQoL. Occupational therapy practitioners should perform a comprehensive occupational profile discerning specific elements within daily occupations, such as paid work, domestic chores, and caregiving, with their ambivalent or divergent effects on DSM engagement and HRQoL. They should identify with clients the most important and valued occupations, and then perform task analyses to determine how to introduce DSM activities into the client’s life context without disrupting valued occupations. ▪ The interventions should facilitate treatment goals to improve DSM by increasing physical activities and reducing sedentary and quiet activities.
Conclusion
Helping people with T2DM maintain healthy lifestyle choices is part of their treatment and can reduce complications of diabetes and obesity (AADE, 2017; Colberg et al., 2016; Schmitt et al., 2013). Their lifestyles and behaviors constitute ADL. This study provides an exploratory understanding of the occupations that limit and enhance DSM and shows that daily activities play a significant role. A few occupations demonstrate ambivalent associations with HRQoL and DSM, such as domestic activities, caring for others, quiet activities, and work. The findings can broaden occupational therapists’ understanding of which activities and occupations could improve outcomes for people with diabetes. On the basis of these findings, we especially recommend engaging in fewer quiet activities and higher levels of daily physical activities across occupations to promote DSM. These findings reinforce the suggestion that treatment of higher DSM engagement should be personalized and address the person’s daily activities and cognitive, social, and psychological aspects of individualized condition management.
Footnotes
Acknowledgments
We sincerely thank Prof. Knobler Hilla, Dr. Carroll Judith, Dr. Muratov Olga, Ms. Michaeli Monika, Ms. Mechanic Inna, and Ms. Pinto Osnat for their assistance in recruiting the participants and signing the consent form and Dr. Drori-Wasserberg Rafit and Dr. Toledano Yoel for their support and advice in research planning. We also thank Ariel University (grant number RA2300000092).
