Literature DB >> 33488108

Dietary Knowledge, Attitude and Practice (KAP) Among the Family Members of Patients with Type 2 Diabetes Mellitus (T2DM) and Its Influence on the KAP of T2DM Patients.

Xiling Hu1, Yao Zhang2, Mengyin Cai2, Lingling Gao3, Shuo Lin2, Xiaodi Guo2, Dan Yang3.   

Abstract

PURPOSE: To investigate the dietary knowledge, attitude and practice (KAP) among the family members (FMs) of Chinese type 2 diabetes mellitus (T2DM) patients and its influence on the KAP of T2DM patients. PATIENTS AND METHODS: Two hundred thirty-six pairs of hospitalized T2DM patients and their FMs (472 in total) in our hospital were enrolled. A pair of self-designed questionnaires on dietary KAP (Cronbach's α ≥ 0.763, I-CVI ≥ 0.857, S-CVI = 0.964, 0.958) were used to collect data and assess the KAP towards diabetes diets.
RESULTS: The mean score for dietary KAP of T2DM patients was 2.33 ± 0.60, 3.03 ± 0.44 and 2.77 ± 0.38, whereas that of their FMs was 2.37 ± 0.55, 3.08 ± 0.48 and 2.82 ± 0.61, respectively. Pearson's correlation analysis showed that the glycosylated hemoglobin (HbA1c) of T2DM patients was negatively correlated to their dietary practice (r = -0.218, P < 0.01). There was a positive correlation between T2DM patients and their FMs for dietary KAP (r = 0.306, P < 0.05). The dietary practice of T2DM patients was positively correlated with the dietary KAP of their FMs (r = 0.305, 0.252 and 0.136, respectively, P < 0.01). Logistic regression analysis revealed that the score for dietary knowledge and attitude, occupation, residence, family history, complications of the T2DM patient, and the sex and dietary knowledge score of the FM were significantly associated with dietary practice for T2DM patients.
CONCLUSION: The dietary attitude of FMs was moderate but dietary knowledge and practice were poor. Dietary KAP was positively correlated with T2DM patients and their FMs.
© 2021 Hu et al.

Entities:  

Keywords:  family characteristics; self-management; type 2 diabetes mellitus

Year:  2021        PMID: 33488108      PMCID: PMC7815068          DOI: 10.2147/DMSO.S290639

Source DB:  PubMed          Journal:  Diabetes Metab Syndr Obes        ISSN: 1178-7007            Impact factor:   3.168


Introduction

Diabetes mellitus (DM) is characterized by hyperglycemia. DM is related to abnormalities in the metabolism of carbohydrates, fats and proteins, which results in chronic complications, including macrovascular, microvascular, and neuropathic disorders. The International Diabetes Federation (IDF) has estimated that one in 11 adults is living with DM currently. This estimate translates to ~465 million people worldwide, and this number is expected to increase to ~700 million people by 2045.1 Hence, the prevention and management of DM has become a major health challenge worldwide. One significant change in the latest American Diabetes Association (ADA) guideline Standards of Medical Care in Diabetes — 2020 is that “lifestyle management” has been changed to “facilitating behavior change and well-being to improve health outcomes”. This change more appropriately emphasizes how effective behavior management and psychological well-being are crucial to achieving treatment goals for people suffering from DM.2 Practicing effective behavior management of the diet in DM patients can result in improved medical outcomes (eg, reduction in the level of HbA1c and blood pressure, decrease in cholesterol, reduced weight), and cost-effective care for patients and healthcare systems.2,3,15 The dietary practice of DM patients is influenced by their dietary knowledge and attitudes. Thus, some studies have focused on the knowledge, attitude and practice (KAP) of people with DM towards nutrition and diet, and mixed results have been obtained.4–8 However, most of a patient’s lifetime is spent at home with family members (FMs), and patients are readily affected by these FMs. Hence, family factors are increasingly recognized as having an important impact on the care of people with DM.9,17–21 Moreover, one study indicated that FMs provided diabetes-specific support most frequently with regard to medication adherence and exercise, which might be because it is easier to provide assistance in this regard than to provide help in diet management.10 Due to the culture in China and the previous One Child government policy, it is quite common for 2–3 generations to live or eat together in China, resulting in more interactions in family dynamics. According to Interdependence Theory and Family Systems Theory, interactions in a family affect both patients and FMs and changes in one FM influence all others FMs.9 Some studies have illustrated the benefits of including the family dimension in the care of DM patients in the overall diabetes-related outcome and quality of life.9–12 However, no study has been performed on KAP towards diabetes diet (DD) among the FMs of Chinese people with T2DM and its influence on the KAP of such patients. Such a study would provide better insights into how FM interventions can reduce the burden of T2DM, and was the rationale for the present study.

Patients and Methods

Ethical Approval of the Study Protocol

The study protocol was approved by the ethics committee of the Third Affiliated Hospital of Sun Yat-sen University (Guangzhou, China). All participants provided written informed consent before study participation.

Inclusion and Exclusion Criteria for Patients FMs

The inclusion criteria for T2DM patients group were: (i) diagnosed with T2DM according to the definition put forward by the World Health Organization in 1999; (ii) age ≥18 years; (iii) DM diagnosis made ≥3 months previously; (iv) having basic literacy (able to read and understand questions). The exclusion criteria for them were: (i) manage his/her diet totally by himself/herself; (ii) pregnancy; (iii) not able to complete the survey due to psychological/physical disorders (eg, acute complications of DM or serious illnesses of the heart, brain, lungs, or kidneys). The inclusion criteria for FMs of T2DM patients were: (i) age ≥18 years; (ii) designated by the T2DM patient; (iii) having a major influence on the T2DM patient’s diet (eg, the patient’s spouse, parents, adult children, siblings, or other relatives). The exclusion criteria for them were (i) having DM of any type; (ii) not able to complete the survey due to psychological disorders or serious illnesses of the heart, brain, lungs, or kidneys.

Study Design

A descriptive cross-sectional study was conducted between September 2018 and January 2019 in the Third Affiliated Hospital of Sun Yat-sen University. We enrolled 250 hospitalized T2DM patients with one of their FMs (ie, 250 T2DM patients and 250 FMs, 500 people in total).

Questionnaire and Data Collection

Questionnaire Design

There was one questionnaire for the T2DM patient and one questionnaire for the FM. The first part of the patient questionnaire was on demographic characteristics (sex, age, nationality, education level, occupation, marital status, source of diabetes knowledge) and disease-related information (current HbA1c, treatment regimen, family history, dietary dominance). The first part of the FM questionnaire was on demographic characteristics (sex, age, nationality, relationship with patient) and care giving-associated information (experiences in managing DM, time, and difficulty in taking care of the patient). The second part of the patient questionnaire and FM questionnaire contained questions on KAP regarding the diabetes diet (DD), based on reviewing literature in China and overseas. The first version of the second part of the questionnaire (ie, KAP) comprised 66 items with a four-point ordinal scale in each item. The rating scale was from 1 to 4. After several discussions and modifications, the first version of this part of the questionnaire was sent to a panel of seven experts (two endocrinologists, one nutritionist, three clinical nurses, and one college teacher) by email. This was done to obtain amendments to aid the accuracy and relevance of each item using a four-point rating scale from 1 (“irrelevant”) to 4 (“highly relevant”). Twenty items with item-level Content Validity Index (I-CVI) < 0.78 were deleted and 11 items were refined moderately. The initial edition of the 46-item questionnaire (for the T2DM patient and FM) in two parts focusing on knowledge (items 1–16), attitude (items 17–27), practice (items 18–46) was formed.

Pre-Study: Analyses of Reliability and Validity

A pilot study on 21 pairs of T2DM cases and their FMs who were not included in the study was done. The validity and reliability of the questionnaire was analyzed using SPSS 20.0 (IBM, Armonk, NY, USA). In the questionnaire for T2DM patients, Cronbach’s α for the second section (ie, KAP) was 0.921, 0.882, 0.763, for knowledge, attitude, and practice, respectively. Also, I-CVI was ≥0.857 and scale-level CVI (S-CVI) was 0.964. In the questionnaire for FMs, Cronbach’s α for the second section (ie, KAP) was 0.939, 0.887, and 0.950, respectively, for knowledge, attitude, and practice. I-CVI was ≥0.857 and S-CVI was 0.958.

Data Collection

Questionnaires were administered by two researchers and two qualified professional nurses of endocrinology and metabolism trained as research assistants. Before distributing the questionnaire, researchers elucidated the aim of the study. Some attention was paid to patients and their families. For those who had problems in completing the questionnaires because of age, lack of literacy or visual impairment, researchers dictated questions to them and recorded their answers without providing hints. Repetitive checks were executed by trained researchers after the questionnaires were completed. Double-checking and validation were undertaken when the answers from the questionnaires were inputted into the database.

Factor Analysis of Questionnaires

A total of 250 pairs of questionnaires were distributed. We collected 236 pairs; 14 pairs of the questionnaires could not be completed because patients were transferred to other departments or discharged. All data from 236 pairs of the questionnaires collected were preprocessed using factor analysis. The Kaiser–Meyer–Olkin (KMO) value for KAP in the patient questionnaire was 0.940, 0.888, and 0.846, and the Bartlett test of sphericity was 2863.494, 1039.710, and 965.015 (P < 0.01 for all), respectively. The KMO value for KAP in the FM questionnaire was 0.928, 0.906, and 0.947, and the Bartlett test of sphericity was 2685.562, 1560.029, and 2731.478, respectively (P < 0.01). Principal component analysis was used to extract factor variables in the KAP section of the questionnaires. The cumulative contribution ratio of KAP in the patient questionnaire was 67.12%, 57.83%, and 48.69%, and that in the FM questionnaire was 70.21%, 65.52%, and 60.95%, respectively. After deleting item 40 with two factor loadings of >0.4, there were 45 items in the final KAP section of the patient questionnaire and FM questionnaire.

Data Analyses

Data were analyzed using SPSS 20 (IBM, Armonk, NY, USA). P < 0.05 (two-sided) was considered significant. Data are the mean ± SD (for continuous variables) or as number and percentage (for categorical variables). Data were compared using Pearson’s correlation analysis. Logistic regression was used to analyze factors associated with the patient’s dietary practices with FM’s KAP as well as demographic and disease-related variables.

Results

Sociodemographic and Disease-Related Characteristics of T2DM Patients

A total of 133 (53.6%) T2DM patients were males. Also, 39.4% of T2DM patients had a college education or higher, whereas 20.3% had a primary and lower education level. We found that 54.2% of T2DM patients were employed and 86.9% were married. Also, 48.7% of patients never received DD-associated education. The three most prevalent sources of DD knowledge were clinicians and nurses (69.9%), books, newspapers and magazines (32.2%), and relatives and friends (31.4%). We discovered that 66.1% of T2DM patients had a dietary dominance in the family. We discovered that 59.7% of patients did not have a family history of DM. The duration of DM was 0.25–30 years, but for 41.5% of patients, the duration was <5 years. The mean number of diabetic complications was 1.00 ± 1.07. The three most prevalent complications were peripheral vascular disease, retinopathy, and peripheral neuropathy. The mean HbA1c level of patients was 8.85 ± 2.43% and, in 73.3% of cases, the HbA1c level was >7%. The mean body mass index of patients was 23.94 ± 3.74 kg/m2, and 48.8% of them were overweight or obese.

Sociodemographic Characteristics of FMs

We found that 143 (60.6%) FMs were the spouse and 157 (66.5%) FMs were female. The mean age of FMs was 47.20 ± 13.82 years, and 24.2% of FMs had graduated from junior college/university. Also, 63.1% were employed. In addition, 62.7% of FMs had never received DD-associated education. The three most prevalent sources of DD knowledge were clinicians and nurses (50.4%), relatives and friends (39.8%), and television and radio (35.2%). Also, the DD knowledge of 20.3% of FMs was from the patients they cared for, and 2.5% of FMs had never received any DD-associated information.

Care-Giving-Associated Information of FMs

We discovered that 82.2% of FMs had no experience of taking care of a relative with T2DM. Also, the daily duration of care-giving was <2 h for 34.3% of FMs. In addition, 22.9% of FMs had been taking care of a relative with T2DM for ≥10 years. Also, 43.2% of FMs had at least 1–2 types of difficulties in giving care to T2DM relatives, whereas 34.3% claimed no difficulty in routine care of a relative with T2DM.

Association Between the HbA1c Level and Dietary Practice

Pearson’s correlation analysis showed that the HbA1c level of T2DM patients was negatively correlated with their dietary practice (r = −0.218, P < 0.01). Also, the HbA1c level was negatively associated with each of the four dietary practices shown in Table 1 (r = −0.087 to −0.344, P < 0.05), among which the association between the HbA1c level and bad diet preferences was the strongest (r = −0.344, P < 0.01).
Table 1

Association Between the HbA1c Level and Dietary Practice of T2DM Patients

HbA1c (%)
Dietary practice−0.218**
Cooking habits and self-monitoring−0.152*
Bad diet preferences−0.344**
Reducing and increasing rate of blood glucose and hypoglycemia prevention−0.119**
Management of vegetables and meat−0.087*

Notes: **P<0.01, *P<0.05.

Association Between the HbA1c Level and Dietary Practice of T2DM Patients Notes: **P<0.01, *P<0.05.

KAP Regarding DD Among T2DM Patients

KAP scores regarding DDs overall and in each dimension among participants with T2DM are shown in Table 2. The item mean score in the dimension DD knowledge in T2DM participants was 2.33 ± 0.60, indicating that their dietary knowledge was between “not quite clear” and “clear”. In the dimension of dietary general knowledge, 36.9% of responses to the question item “How to react correctly to hypoglycemia?” was “totally unclear” and “not quite clear”. In the dimension of nutrient composition and calculation, the score for the item “How to calculate the total calories you need every day?” was the lowest. In the dimension of the ratio and sources of the three main macronutrients, knowledge of protein was the lowest.
Table 2

KAP Score with Regard Diabetes Diet (DD) Among T2DM Patients in Total and Each Dimensions (n = 236)

Number of ItemsItem Mean Score (x ± s)
KnowledgeDD knowledge162.33±0.60
Ratio and sources of three main macronutrients32.16±0.73
Nutrient composition and calculation92.17±0.65
Dietary general knowledge42.81±0.70
AttitudeDD attitude113.03±0.44
Knowledge of importance of DDs23.46±0.57
Belief in diet management92.94±0.48
PracticeDD practice182.77±0.38
Cooking habits and self-monitoring72.92±0.47
Bad preference42.97±0.41
Reducing the increasing rate of blood glucose42.42±0.57
Management of vegetables and meat32.65±0.58
KAP Score with Regard Diabetes Diet (DD) Among T2DM Patients in Total and Each Dimensions (n = 236) The mean score of the item DD attitude in T2DM patients was highest (3.03 ± 0.44), indicating that the overall attitude towards DD was moderate. However, 8.9% of patients indicated “very unwilling” to “quite unwilling” to accept health education related to DD. In the dimension of belief in diet management, the item mean score was 2.94 ± 0.48, which was between “not quite confident” and “quite confident”. The score for the question “Do you have confidence in persevering diabetes diet during holidays, birthday, and social banquet?” was the lowest among attitude items. The item mean score of DD practice in T2DM patients was 2.77 ± 0.38, indicating that the overall DD practice was poor. Among four dimensions, the score for the “bad preference” dimension was the highest (2.97 ± 0.41), whereas the score for “reducing an increasing rate of blood glucose” was the lowest (2.97 ± 0.41). Undertaking prevention of hypoglycemia was the worst among overall dietary practices, and 64.8% of patients never or occasionally carried some sweets or biscuits with them in case of hypoglycemia.

KAP Regarding DD Among FMs

The KAP scores regarding DD overall and in each dimension among FMs are shown in Table 3. The item mean score of DD attitude among FMs was the highest (3.08 ± 0.48) and DD knowledge among them was the lowest (2.82 ± 0.61), which was similar to that seen in T2DM patients. In the dimension of dietary general knowledge, 42.4% of FM’s response to the question “How to correctly react to hypoglycemia?” was “totally unclear” and “not quite clear”, which was slightly more than that observed in T2DM patients. In the dimension of nutrient composition and calculation, the score of the question “Do you know the calculation method of ideal weight for people with type 2 diabetes?” was the lowest. In the dimension of the ratio and sources of three main macronutrients, knowledge of fat was the lowest.
Table 3

KAP Score Regarding Diabetes Diets (DD) Among Family Members in Total and Each Dimensions (n = 236)

Number of ItemsItem Mean Score(x±s)
KnowledgeDD knowledge162.37±0.55
Ratio and sources of three main macronutrients32.19±0.67
Nutrient composition and calculation92.24±0.59
Dietary general knowledge42.80±0.68
AttitudeDD knowledge113.08±0.48
Knowledge of importance of DDs23.46±0.59
Confidence in diet management92.99±0.53
PracticeDD practice182.82±0.61
Cooking habits and supervision72.92±0.61
Bad preference42.93±0.69
Reducing the increasing rate of blood glucose42.65±0.73
Management of vegetables and meat32.71±0.74
KAP Score Regarding Diabetes Diets (DD) Among Family Members in Total and Each Dimensions (n = 236) We discovered that 9.3% of FMs indicated they were “very unwilling” and “quite unwilling” to accept health education related to DD, which was slightly higher than that in T2DM patients. In the dimension of belief in diet management, the score for the question “Do you have confidence in supervising and helping patients to persevere with diabetes diet when patients feel it not suitable?” was the lowest. Likewise, among four dimensions of DD practice, the score of the bad preference dimension was the highest (2.93 ± 0.69), whereas the score for reducing an increasing rate of blood glucose was the lowest (2.65 ± 0.73). The score for the questions “Do you supervise and help patients making food by boiling, steaming and salad avoiding wok-fried and smoked food?”, “Do you remind and help patients to reduce the number of snacks (eg, French fries, melon seeds, jellies, biscuits) except for dealing with hypoglycemia”, “Do you supervise and help patients add grains to staple food (eg, buckwheat, beans, nibbles)?”, “Do you remind and help patients to control daily fruit intake within 200 g (about one medium-sized apple) when he/she has achieved an ideal glycemic status?” in the respective dimensions was the lowest. The score for helping patients to add some coarse grains into staple food was the worst: 47.0% of FMs responded with “never” or “occasionally”.

Association Between KAP Among T2DM Patients and FMs

According to Pearson’s correlation analysis, multiple comparisons of KAP scores among T2DM patients revealed positive correlations (r = 0.297–0.407, P < 0.01) and those among their FMs were also positive (r = 0.244–0.454, P<0.01) (Table 4). Multiple comparisons among KAP scores of T2DM patients and those of their FMs showed positive pairwise correlations (r = 0.134–0.506, P < 0.05). Moderate positive correlations were found between dietary knowledge of T2DM patients and that of their FMs (r = 0.431, P < 0.01) and also between dietary attitude of T2DM patients and that of their FMs (r = 0.506, P < 0.01). The positive correlation between the dietary practices of T2DM patients and knowledge, attitude, and practice of their FMs was 0.305, 0.252, and 0.136, respectively (P < 0.05).
Table 4

Association Between KAP Among T2DM Patients and Their Family Members

12345
1. Dietary knowledge of FMs1
2. Dietary attitude of FMs0.244**1
3. Dietary practice of FMs0.446**0.454**1
4. Dietary knowledge of T2DM patients0.431**0.181**0.164*1
5. Dietary attitude of T2DM patients0.134*0.506**0.266**0.297**1
6. Dietary practice of T2DM patients0.305**0.252**0.136*0.407**0.374**

Notes: **P<0.01,*P<0.

Association Between KAP Among T2DM Patients and Their Family Members Notes: **P<0.01,*P<0.

Univariate Analysis and Logistic Regression Analysis of DD Practice of T2DM Patients

We undertook univariate analysis between a dependent variable (DD practice of T2DM patients) and independent variables (sociodemographic and disease-related characteristics of T2DM patients and their FMs). Age, occupational status, residence, sources of medical expenses, smoking status, alcohol consumption, receipt of dietary-health education, T2DM duration, number of complications and DM history of T2DM patients, and sex, occupational status, and care-giving duration of FMs had a significant impact on the DD practice of T2DM patients (P < 0.05). Further logistic regression analysis revealed that the DD knowledge and attitude, occupation, residence, number of complications and family history of T2DM patients, and the sex and DD knowledge of FMs were significantly associated with the DD practice of T2DM patients (Table 5).
Table 5

Logistic Regression Analysis of the Dietary Practice of T2DM Patients

VariablesBSEβtpFR2
Patients’ dietary practice18.3790.393
(constant)9.367<0.001
Patients’ dietary knowledge score0.1870.0430.2624.367<0.001
Patients’ dietary attitude score0.3900.0770.2775.082<0.001
Patients’occupation (unemployed)2.1540.7340.1572.9340.004
Patients’ family history of DM (yes)−2.0210.739−0.145−2.7360.007
Patients’ residence (rural areas)−2.9410.881−0.175−3.3380.001
FM’s sex (female)−2.5540.771−0.177−3.3120.001
FM’s dietary knowledge score0.1130.0450.1462.4870.014
Patients’complications (1+)1.4800.720ʹ0.1082.0540.041

Abbreviations: B, unstandardized coefficients; SE, standard error of the unstandardized coefficient; β, standardized coefficient.

Logistic Regression Analysis of the Dietary Practice of T2DM Patients Abbreviations: B, unstandardized coefficients; SE, standard error of the unstandardized coefficient; β, standardized coefficient.

Discussion

We undertook, for the first time, a study on the KAP towards DD among the FMs of Chinese people with T2DM, and its influence on the KAP of such patients. Such a study could provide insights into how FM interventions can reduce the burden of T2DM. Study findings indicated that the dietary attitude of Chinese T2DM patients was moderate and that dietary knowledge and practice was poor. These data are in accordance with results from studies in China and South Africa.5,8 However, JING and colleagues showed that the score for dietary practices among Chinese DM patients was much higher than that for knowledge and attitude.4 Studies on KAP towards DM-related health in Nepal and Pakistan revealed low overall KAP scores among DM patients.13,16 Studies in Iran and South Africa showed a good level of KAP on DM self-management and glycemic control, respectively, among people with DM.7,14 These mixed findings may be associated with the difference: (i) medical systems, economic systems, and DM-related education in different developing countries; (ii) number of patients and questionnaire types employed. The dietary KAP scores of FMs indicated that their dietary attitude was moderate and dietary knowledge and practice were poor (similar to the dietary KAP of T2DM patients). Consistent with T2DM patients, dietary knowledge of their FMs on the ratio and sources of three main macronutrients, and detailed nutrient composition and calculations, were much worse than dietary general knowledge. Moreover, the weakest knowledge was on how to calculate the ideal weight for DM patients (which is the basis of weight management and dietary control). This information should be emphasized and strengthened during DD education. More than 95% of FMs perceived execution of DD as “quite important” or “very important” and >90% of them would like to receive DD education, indicating that they have high awareness of the importance of DD. FMs had confidence in supervising and helping relatives with T2DM with diet management, especially in accepting the inconvenience of dietary differences between patients and other FMs and the necessity of long-term perseverance in supervision and help. FMs had the least confidence in addressing the issue that T2DM patients felt that DD were not suitable for them. The score for FMs supervising and helping T2DM patients with healthier ways of cooking was low. This might be because traditional Chinese food is often wok-fried, braised in soy sauce, and smoked. Moreover, supervising and helping T2DM patients with snack management showed a low score, which may have been because they were living in a household of 2–3 generations. FMs provided the least help in adding coarse food grains to staple food for relatives with T2DM. We showed that the association between the scores for KAP of T2DM patients were pairwise significantly positive. These data are in line with studies showing an improved attitude and practice score with increasing knowledge scores.6,7,34,35 The correlations among scores for KAP of T2DM patients and those of their FMs were pairwise significantly positive, demonstrating interactions between T2DM patients and FMs.9,11,12,17,19 The dietary practice of FMs had a weaker positive correlation than dietary knowledge and attitude to the dietary practice of T2DM patients, which might be because FM’s behaviors are not always supportive and helpful.10,20–25 Studies have demonstrated that FMs providing the most support also had obstructive behaviors, and that supportive and obstructive behaviors were often experienced in the same area of self-care.11,20,24–28 The dietary attitude of FMs had a remarkably positive correlation to that of T2DM patients, which may reflect a positive attitude that could help patients build confidence to relieve stress in diet control.9,29–33 Likewise, FMs’ dietary knowledge had a remarkable positive correlation with that of T2DM patients. Furthermore, 5.3% of T2DM patients accepted DD knowledge only from their relatives. Though the dietary attitude score of FMs was moderate, the scores for dietary knowledge and practice were low. Hence, FMs know the importance of DD but most of them do not know how to help, a hypothesis that is in accordance with results from the international Diabetes Attitudes Wishes and Needs 2 study.29 The occupational status of T2DM patients influenced their dietary practices, which suggested that unemployed T2DM patients could undertake better dietary practice than employed T2DM patients. These data are in line with results from studies by Li and colleagues6 and Asmelash and coworkers,14 who found that KAP scores were significantly higher in retired patients than in those currently employed patients. This observation could be related to the fact that employed patients have careers to maintain, so their work and accompanying social activities restrict them from being concerned about their disease.6,14,36,37 Male FMs had a stronger influence on the dietary practice of T2DM patients than female FMs. We speculate that this observation could be because males have more authority over females in Chinese households. Hence, females comply with males’ suggestions and supervisions, whereas males’ traditional characteristics of autonomy, dominance, and stoicism may stop them from accepting supervision from females.36

Conclusion

The dietary attitude of FMs was moderate but dietary knowledge and practice were poor. Dietary KAP was positively correlated with T2DM patients and their FMs.
  35 in total

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Journal:  Diabetes Res Clin Pract       Date:  2019-09-10       Impact factor: 5.602

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Authors:  Sujeev S Bains; Leonard E Egede
Journal:  Diabetes Technol Ther       Date:  2011-02-07       Impact factor: 6.118

4.  Investigation into knowledge, attitude, and practice regarding medical nutrition therapy among patients with diabetes in China: Results from a national multicenter cross-sectional study.

Authors:  Lu Lu Jing; Wei Chen; Zi Lin Sun; Sai Nan Zhu; Li Shen; Wen Xia Li; Jin Huang; Qing Qing Lou; Rong Wen Bian; Xiao Hui Guo
Journal:  J Diabetes       Date:  2016-12-05       Impact factor: 4.006

5.  Evaluating the effect of knowledge, attitude and practice on self-management in patients with type 2 diabetes.

Authors:  Ronak Karbalaeifar; Sara Kazempour-Ardebili; Parisa Amiri; Shima Ghannadi; Zhale Tahmasebinejad; Atieh Amouzegar
Journal:  Acta Diabetol       Date:  2016-09-13       Impact factor: 4.280

6.  Health and Psychosocial Outcomes of a Telephonic Couples Behavior Change Intervention in Patients With Poorly Controlled Type 2 Diabetes: A Randomized Clinical Trial.

Authors:  Paula M Trief; Lawrence Fisher; Jonathan Sandberg; Donald A Cibula; Jacqueline Dimmock; Danielle M Hessler; Patricia Forken; Ruth S Weinstock
Journal:  Diabetes Care       Date:  2016-07-25       Impact factor: 19.112

7.  Family behaviors and type 2 diabetes: What to target and how to address in interventions for adults with low socioeconomic status.

Authors:  Lindsay Satterwhite Mayberry; Kryseana J Harper; Chandra Y Osborn
Journal:  Chronic Illn       Date:  2016-04-19

8.  Illness and treatment perceptions are associated with adherence to medications, diet, and exercise in diabetic patients.

Authors:  Elizabeth Broadbent; Liesje Donkin; Julia C Stroh
Journal:  Diabetes Care       Date:  2011-02       Impact factor: 19.112

9.  Family support, medication adherence, and glycemic control among adults with type 2 diabetes.

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Journal:  Diabetes Care       Date:  2012-04-26       Impact factor: 19.112

10.  Psychosocial Research and Care in Diabetes: Altering Lives by Understanding Attitudes.

Authors:  Katie Weinger; Mary de Groot; William T Cefalu
Journal:  Diabetes Care       Date:  2016-12       Impact factor: 19.112

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2.  Level of dietary adherence and determinants among type 2 diabetes population in Ethiopian: A systemic review with meta-analysis.

Authors:  Teshager Weldegiorgis Abate; Minale Tareke; Selam Abate; Abebu Tegenaw; Minyichil Birhanu; Alemshet Yirga; Mulat Tirfie; Ashenafi Genanew; Haileyesus Gedamu; Emiru Ayalew
Journal:  PLoS One       Date:  2022-10-10       Impact factor: 3.752

  2 in total

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