scholarly journals Patient Activation in Type 2 Diabetes: Does It Differ between Men and Women?

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Steven H. Hendriks ◽  
Laura C. Hartog ◽  
Klaas H. Groenier ◽  
Angela H. E. M. Maas ◽  
Kornelis J. J. van Hateren ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Patient Activation ◽  
Well Being ◽  
Cross Sectional Study ◽  
Macrovascular Complications ◽  
Sectional Study ◽  
Cross Sectional ◽  
Men And Women ◽  
General Practices

Background.Aim was to investigate whether the degree of patient activation of patients with type 2 diabetes (T2D) is different between men and women. Furthermore, we investigated which factors are associated with patient activation in men and women.Methods.This cross-sectional study included 1615 patients with T2D from general practices. Patient activation was measured with the Patient Activation Measure (PAM) questionnaire. Multivariate linear regression analyses were used to investigate the association between gender and patient activation. Stratified analyses according to gender were performed to investigate which factors are associated with patient activation.Results.No association between gender and PAM score was found after adjustment for all selected confounders (p=0.094). In men, lower age (p=0.001), a higher WHO-5 score (p<0.001), and a lower BMI (p=0.013) were associated with a higher PAM score. In women, a higher WHO-5 score (p<0.017) and the absence of macrovascular complications (p<0.031) were associated with a higher PAM score.Conclusion.There is no difference in the degree of patient activation of men and women with T2D. Age, well-being, and BMI were found to be associated with patient activation in men, whereas well-being and macrovascular complications were found to be associated with patient activation in women.

Chronotype and well‐being in adults with established type 2 diabetes: A cross‐sectional study

2021 ◽  
Author(s):  
Lauren M. Quinn ◽  
Michelle Hadjiconstantinou ◽  
Emer M. Brady ◽  
Danielle H. Bodicoat ◽  
Joseph J. Henson ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Well Being ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional

scholarly journals Type 2 Diabetes in Relation to Hip Bone Density, Area, and Bone Turnover in Swedish Men and Women: A Cross-Sectional Study

2018 ◽  
Vol 103 (5) ◽  
pp. 501-511 ◽  
Author(s):  
Adam Mitchell ◽  
Tove Fall ◽  
Håkan Melhus ◽  
Alicja Wolk ◽  
Karl Michaëlsson ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Bone Density ◽  
Bone Turnover ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Men And Women ◽  
Density Area

scholarly journals Proportion of Subclinical Hypothyroidism in Patients with Diabetes Mellitus

2020 ◽  
Vol 5 (1) ◽  
pp. 12
Author(s):  
Hari Hendarto ◽  
Laurentius Aswin Premono ◽  
Femmy Nurul Akbar ◽  
Dante Saksono Harbuwono ◽  
Imam Subekti ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Cross Sectional Study ◽  
Health Sciences ◽  
Sectional Study ◽  
Cross Sectional ◽  
Clinical Screening ◽  
Men And Women ◽  
Patients With Diabetes

Background:According to some recent studies, a connection exists between type 2 diabetes mellitus (T2DM) and the occurrence of subclinical hypothyroid (SCH).This purpose of this research was therefore, to determine the proportion of SCH in those diagnosed with T2DM.Materials and Methods: Data was obtained for this cross-sectional study by analyzing 278 patients suffering from T2DM for at least 1 year. The collected data include glycemic control (HbA1c) and thyroid hormone. Those with triiodothyronine (fT3), thyroxine (fT4), and TSH (≥4 μIU/ml) were suffered from SCH and examined with ultrasonographic (USG) for clinical screening of thyroid diseases.Results:Approximately 7.2% patients with T2DM were above 60 years with significant differences in number of men and women diagnosed with diabetes mellitus. There is also a significant correlation between HbA1c and SCH in T2DM. Among 20 subjects with SCH, USG thyroid suggested thyroiditis in 15 subjects.Conclusions:The prevalence of SCH among T2DM patients is high, therefore, all those with T2DM need to be examined for thyroid dysfunction.International Journal of Human and Health Sciences Vol. 05 No. 01 January’21 Page: 12-15

Assessment of fracture risk by the FRAX algorithm in men and women with and without type 2 diabetes mellitus: a cross-sectional study

2014 ◽  
Vol 30 (4) ◽  
pp. 313-322 ◽  
Author(s):  
Vincenzo Carnevale ◽  
Susanna Morano ◽  
Andrea Fontana ◽  
Maria Antonietta Annese ◽  
Mara Fallarino ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Fracture Risk ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Men And Women

Large-Scale Cross-Sectional Study of the Problem Areas in Diabetes Survey among Japanese Patients with Type 2 Diabetes Mellitus

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 2393-PUB
Author(s):  
KENICHIRO TAKAHASHI ◽  
MINORI SHINODA ◽  
RIKA SAKAMOTO ◽  
JUN SUZUKI ◽  
TADASHI YAMAKAWA ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Large Scale ◽  
Japanese Patients ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Diabetes Survey

scholarly journals Associations between multimorbidity and glycaemia (HbA1c) in people with type 2 diabetes: cross-sectional study in Australian general practice

BMJ Open ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. e039625
Author(s):  
Jason I Chiang ◽  
John Furler ◽  
Frances Mair ◽  
Bhautesh D Jani ◽  
Barbara I Nicholl ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
General Practice ◽  
Cross Sectional Study ◽  
Secondary Outcome ◽  
Linear Regression Models ◽  
Sectional Study ◽  
Cross Sectional ◽  
Long Term Conditions ◽  
Australian General Practice

ObjectivesTo explore the prevalence of multimorbidity as well as individual and combinations of long-term conditions (LTCs) in people with type 2 diabetes (T2D) attending Australian general practice, using electronic health record (EHR) data. We also examine the association between multimorbidity condition count (total/concordant(T2D related)/discordant(unrelated)) and glycaemia (glycated haemoglobin, HbA1c).DesignCross-sectional study.SettingAustralian general practice.Participants69 718 people with T2D with a general practice encounter between 2013 and 2015 captured in the MedicineInsight database (EHR Data from 557 general practices and >3.8 million Australian patients).Primary and secondary outcome measuresPrevalence of multimorbidity, individual and combinations of LTCs. Multivariable linear regression models used to examine associations between multimorbidity counts and HbA1c (%).ResultsMean (SD) age 66.42 (12.70) years, 46.1% female and mean (SD) HbA1c 7.1 (1.4)%. More than 90% of participants with T2D were living with multimorbidity. Discordant conditions were more prevalent (83.4%) than concordant conditions (69.9 %). The three most prevalent discordant conditions were: painful conditions (55.4%), dyspepsia (31.6%) and depression (22.8%). The three most prevalent concordant conditions were hypertension (61.4%), coronary heart disease (17.1%) and chronic kidney disease (8.5%). The three most common combinations of conditions were: painful conditions and hypertension (38.8%), painful conditions and dyspepsia (23.1%) and hypertension and dyspepsia (22.7%). We found no associations between any multimorbidity counts (total, concordant and discordant) or combinations and HbA1c.ConclusionsMultimorbidity was common in our cohort of people with T2D attending Australian general practice, but was not associated with glycaemia. Although we did not explore mortality in this study, our results suggest that the increased mortality in those with multimorbidity and T2D observed in other studies may not be linked to glycaemia. Interestingly, discordant conditions were more prevalent than concordant conditions with painful conditions being the second most common comorbidity. Better understanding of the implications of different patterns of multimorbidity in people with T2D will allow more effective tailored care.

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