Dataset Information

How self-stigma affects patient activation in persons with type 2 diabetes: a cross-sectional study.

ABSTRACT:

Objectives

Self-stigma is associated with lower patient activation levels for self-care in persons with type 2 diabetes mellitus (T2DM). However, the causal pathway linking self-stigma with patient activation for self-care has not been shown. In order to determine how self-stigma affects patient activation for self-care, we tested a two-path hypothetical model both directly and as mediated by self-esteem and self-efficacy.

Design

A cross-sectional study.

Setting

Two university hospitals, one general hospital and one clinic in Japan.

Participants

T2DM outpatients receiving treatment (n=209) completed a self-administered questionnaire comprising the Self-Stigma Scale, Patient Activation Measure, Rosenberg Self-Esteem Scale, General Self-Efficacy Scale, Patient Health Questionnaire, haemoglobin A1c test, age, sex and body mass index.

Primary and secondary outcome measures

Self-stigma levels were measured by using the Self-Stigma Scale. Patient activation levels were measured by the Patient Activation Measure.

Results

Path analysis showed a strong relationship between self-stigma and patient activation (χ²=27.55, p=0.120; goodness-of-fit index=0.97; adjusted goodness-of-fit index=0.94; comparative fit index=0.98; root mean square error of approximation=0.04). Self-stigma had a direct effect on patient activation (β=-0.20; p=0.002). Indirectly, self-stigma affected patient activation along two paths (β=0.31; p<0.001) by reducing self-esteem (β=-0.22; p<0.001) and self-efficacy (β=-0.36; p<0.001).

Conclusions

Due to the cross-sectional design of the study, longitudinal changes between all the variables cannot be established. However, the findings indicate that self-stigma affected patient activation for self-care, both directly and as mediated by self-esteem and self-efficacy. Interventions that increase self-esteem and self-efficacy may decrease self-stigma in patients with T2DM, thus increasing patient activation for self-care.

SUBMITTER: Kato A

PROVIDER: S-EPMC7239528 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

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Publications

How self-stigma affects patient activation in persons with type 2 diabetes: a cross-sectional study.

Kato Asuka A Fujimaki Yuko Y Fujimori Shin S Isogawa Akihiro A Onishi Yukiko Y Suzuki Ryo R Ueki Kohjiro K Yamauchi Toshimasa T Kadowaki Takashi T Hashimoto Hideki H

BMJ open 20200517 5

<h4>Objectives</h4>Self-stigma is associated with lower patient activation levels for self-care in persons with type 2 diabetes mellitus (T2DM). However, the causal pathway linking self-stigma with patient activation for self-care has not been shown. In order to determine how self-stigma affects patient activation for self-care, we tested a two-path hypothetical model both directly and as mediated by self-esteem and self-efficacy.<h4>Design</h4>A cross-sectional study.<h4>Setting</h4>Two univers ...[more]

PMID: 32423931

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Project description:BackgroundDiet is central to the management of type 2 diabetes mellitus (T2DM). Depending on the stage of the disease at which the recommended diet is initiated, optimal adherence can reduce HbA1c by about 1 to 2%. However, evidence on eating behavior is generally scarce including in Ethiopia. The present study aimed to assess the eating behavior of adults with T2DM in North Ethiopia.MethodsThis cross-sectional study was conducted among 421 adults with T2DM from September to November 2019. Socio-demographic variables were collected using structured questionnaires; an asset-based wealth index was used to determine socioeconomic status. Three dimensions of eating behavior were assessed using Likert-type items: food selection, meal planning and calorie recognition. Raw Likert scores in each dimension were transformed to percent scales to maximum (%SM). Participants' behavior in each dimension was categorized into healthy and unhealthy taking 66.7% SM score as a cutoff. Overall eating behavior was determined by aggregating ranks scored in the three dimensions. Correlates of overall eating behavior were identified using Chi-square test and multinomial logistic regression with statistical significance set at P-value < 0.05.ResultOnly 1% of the participants had overall healthy eating behavior. Yet, overall unhealthy eating was apparent in 54.4%. By dimensions, healthy eating behaviors in food selection, meal planning and calorie recognition were seen in 43.5, 7.4 and 2.9% participants, respectively. Factors that were positively associated with having healthy eating behavior in one dimension relative to unhealthy in all were: receiving nutrition education [AOR 1.73; CI 1.09, 2.74], female gender [AOR 1.78; CI 1.03, 3.08] & being in 26-44 age category [AOR 3.7; CI 1.56, 8.85]. But, being in the poor [AOR 0.42; CI 0.16, 1.32] or average [AOR 0.54; CI 0.19, 1.55] socioeconomic strata were negatively associated. However, only receiving nutrition education [AOR 3.65; CI 1.31, 10.18] was significantly associated with having healthy behavior in two eating dimensions over unhealthy in all.ConclusionIn North Ethiopia, the overall eating behavior of adults with T2DM is extremely poor. Diverse and integrated approaches including nutrition education during consultation should be implemented to address the gap.

Project description:This study set out to analyze questions about type 2 diabetes mellitus (T2DM) from patients and the public. The aim was to better understand people's information needs by starting with what they do not know, discovered through their own questions, rather than starting with what we know about T2DM and subsequently finding ways to communicate that information to people affected by or at risk of the disease. One hundred and sixty-four questions were collected from 120 patients attending outpatient diabetes clinics and 300 questions from 100 members of the public through the Amazon Mechanical Turk crowdsourcing platform. Twenty-three general and diabetes-specific topics and five phases of disease progression were identified; these were used to manually categorize the questions. Analyses were performed to determine which topics, if any, were significant predictors of a question's being asked by a patient or the public, and similarly for questions from a woman or a man. Further analysis identified the individual topics that were assigned significantly more often to the crowdsourced or clinic questions. These were Causes (CI: [-0.07, -0.03], p < .001), Risk Factors ([-0.08, -0.03], p < .001), Prevention ([-0.06, -0.02], p < .001), Diagnosis ([-0.05, -0.02], p < .001), and Distribution of a Disease in a Population ([-0.05,-0.01], p = .0016) for the crowdsourced questions and Treatment ([0.03, 0.01], p = .0019), Disease Complications ([0.02, 0.07], p < .001), and Psychosocial ([0.05, 0.1], p < .001) for the clinic questions. No highly significant gender-specific topics emerged in our study, but questions about Weight were more likely to come from women and Psychosocial questions from men. There were significantly more crowdsourced questions about the time Prior to any Diagnosis ([(-0.11, -0.04], p = .0013) and significantly more clinic questions about Health Maintenance and Prevention after diagnosis ([0.07. 0.17], p < .001). A descriptive analysis pointed to the value provided by the specificity of questions, their potential to disclose emotions behind questions, and the as-yet unrecognized information needs they can reveal. Large-scale collection of questions from patients across the spectrum of T2DM progression and from the public-a significant percentage of whom are likely to be as yet undiagnosed-is expected to yield further valuable insights.

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Project description:BackgroundQualitative studies in type 1 diabetes indicate that visibility of diabetes supplies, self-care, and hypoglycemia symptoms are associated with stigma and suboptimal management. This may be particularly salient in youth who face concurrent challenges such as establishing autonomy and making vocational choices.ObjectiveThe aim of the study was to estimate stigma prevalence in youth (aged 14-24 years) with type 1 diabetes and its associations with glycemic control.MethodsParticipants, recruited largely through social media, were asked to complete a Web-based survey and to send via mail capillary blood samples for glycated hemoglobin (HbA1c) measurement. The primary definition of stigma required endorsement of one or more of 3 stigma-specific items of the Barriers to Diabetes Adherence questionnaire. These addressed avoidance of diabetes management with friends present, difficulty telling others about diabetes diagnosis, and embarrassment in performing diabetes care with others present. Poor glycemic control was defined as HbA1c>9% (ie, >75 mmol/mol; measured value when available, else self-report) and/or ≥1 severe hypoglycemic episode in the previous year (reported requiring assistance from someone else during the episode). Stigma prevalence was computed (95% CI), and associations with glycemic control were evaluated (multivariate logistic regression models).ResultsAmong the 380 respondents, stigma prevalence was 65.5% (95% CI 60.7-70.3). Stigma was associated with a 2-fold higher odds of poor glycemic control overall (odds ratio [OR] 2.25, 95% CI 1.33-3.80; adjusted for age, sex, and type of treatment). There were specific associations with both HbA1c>9% (75 mmol/mol; OR 3.05, 95% CI 1.36-6.86) and severe hypoglycemia in the previous year (OR 1.86, 95% CI 1.05-3.31).ConclusionsThere is a high prevalence of stigma in youth with type 1 diabetes that is associated with both elevated HbA1c levels and severe hypoglycemia. Targeted strategies to address stigma are needed.Trial registrationClinicalTrials.gov NCT02796248; http://clinicaltrials.gov/ct2/show/NCT02796248 (Archived by WebCite at http://www.webcitation.org/6yisxeV0B).

Dataset Information

How self-stigma affects patient activation in persons with type 2 diabetes: a cross-sectional study.

Objectives

Design

Setting

Participants

Primary and secondary outcome measures

Results

Conclusions

Publications

How self-stigma affects patient activation in persons with type 2 diabetes: a cross-sectional study.

Similar Datasets

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