Factors Associated With Psychological Insulin Resistance in Individuals With Type 2 Diabetes
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OBJECTIVE To describe the predictive relationships of selected sociodemographic, biomedical, and psychosocial variables to reluctance to use insulin among patients with type 2 diabetes. RESEARCH DESIGN AND METHODS A total of 178 patients with type 2 diabetes participated in this cross-sectional, observational study. Data were obtained by patient interview using validated measures of diabetes attitude, knowledge, self-efficacy, care communication, and perceived barriers to treatment, as well as sociodemographic and biomedical data. RESULTS Women and ethnic minorities with type 2 diabetes have more psychological barriers to insulin treatment (P < 0.05). The final regression model showed that individuals who believed in the value of tight glucose control, had strong self-efficacy, and had better interpersonal processes with their healthcare providers were less reluctant to use insulin treatment (R2 = 0.403; P < 0.0001). CONCLUSIONS Diabetes self-efficacy and better interaction with clinicians were important in decreasing patients' reluctance to use insulin, known as psychological insulin resistance.Nonalcoholic fatty liver disease (NAFLD), hepatic insulin resistance, and type 2 diabetes are all strongly associated and are all reaching epidemic proportions. Whether there is a causal link between NAFLD and hepatic insulin resistance is controversial. This review will discuss recent studies in both humans and animal models of NAFLD that have implicated increases in hepatic diacylglycerol (DAG) content leading to activation of novel protein kinase Cϵ (PKCϵ) resulting in decreased insulin signaling in the pathogenesis of NAFLD-associated hepatic insulin resistance and type 2 diabetes. The DAG-PKCϵ hypothesis can explain the occurrence of hepatic insulin resistance observed in most cases of NAFLD associated with obesity, lipodystrophy, and type 2 diabetes.
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72 preschoolers and 72 school children observed the original discrimination of nonreversal shift (NRS) followed by 14 NRS trials by themselves. The observational trials were 10 or 30 in each age group. The correct (_??_) or incorrect (×) responses on the 1st (unchanged pair) and the 2nd (changed pair) trials of NRS were mainly measured. In preschoolers, both dependent observational-learning mode (_??_-× responses: DOL) and independent observational-learning mode (_??_-_??_ and ×-×: IOL) were found, but no observational-trial effects on the modes were found. In school children, DOL occurred significantly more than IOL in both groups, and the observational-trial effect was also found. Subproblem analyses suggested that the _??_-× responses were indeed the “dependent” mode rather than the “independent” one.
Observational learning
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Observational methods such as OW AS. RULA. and REBA have been widely used to identify posture-related risks of musculoskeletal disorders in industry, since they are useful and efficient in evaluating postural stresses. However. there are few studies comparing the methods and providing guidelines for selecting and using the methods. They have been developed based on different backgrounds and with different application areas. Each method has its own characteristics. which must be considered in selecting and using them. In this study. 17 male subjects evaluated 42 different working postures that frequently assumed in the automobile assembly line using a psychophysical method. The postures were then evaluated by different observational methods. The results of the observational methods were compared with psychophysically evaluated stresses. The observational methods resulted in different values of stresses for certain postures. For some postures showing high values of perceived discomfort. the observational methods showed different values of stresses. These results showed that the observational methods should be used differently according to application area and they have some weak points to be improved.
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The purposes of this study were to develop and implement an observational training program and to assess the effects of a video observational training program on video and live observational proficiency. Physical education majors took a pretest in both a video and a live environment to assess observational proficiency. The task was observing children batting and answering questions regarding the critical features of the movement. The students were then placed into either a treatment ( n = 12) or a control ( n = 11) group. There were no differences between groups on either assessment ( p > .05). The treatment group then participated in a video observational training program. After the training, all subjects took a posttest in each environment to assess observational proficiency. The training was found to be effective in improving video observational proficiency ( p < .05) but not live observational proficiency ( p > .05). These results provide support for the effectiveness of video observational training in developing video observational proficiency but not live observational proficiency.
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Studies can be observational or experimental. With an observational study, the investigator does not determine the assignment of subjects, and there might not be a control group. If there is a control group, assignment of the independent variable (exposure or intervention) is not under the control of the investigator. Observational studies can be rigorously conducted, but the lack of random assignment of the exposure/intervention introduces confounding and bias. Thus, the quality of evidence resulting from observational studies is lower than that of experimental randomized controlled trials (RCTs). An observational study might be performed if an RCT is unethical, impractical, or outside the control of the investigator. There are many types of prospective and retrospective observational study designs. However, an observational study design should be avoided if an experimental study is possible. Sophisticated statistical approaches can be used, but this does not elevate an observational study to the level of an RCT. Regardless of quality, an observational study cannot establish causality.
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We thank Prof. Dogru and colleagues for their interest in our recent article on the importance of adipocyte fatty acid binding protein (AFABP) in nonalcoholic fatty liver disease (NAFLD).1 It is now well accepted that NAFLD is the hepatic manifestation of the metabolic syndrome and as such is intimately associated with insulin resistance, visceral obesity, and dyslipidemia.2 Insulin resistance, which is a key characteristic of both conditions, has also been associated with NAFLD progression from simple steatosis to nonalcoholic steatohepatitis.3 We used the homeostasis model assessment of insulin resistance (HOMA-IR) to reflect the spectrum of insulin sensitivity. This index has been shown to correlate with the results of euglycemic-hyperinsulinemic clamp in patients without diabetes and with type 2 diabetes, including those treated with metformin and other oral hypoglycemic agents.4, 5 We were careful to exclude those taking thiazolidenediones, which have been shown to significantly affect circulating adipokine levels,6, 7 in contrast to sulfonylureas and metformin, which have not.7, 8 Type 2 diabetes eventually ensues in many subjects with increasing insulin resistance and is associated with more progressive fatty liver disease9; therefore, we decided not to exclude subjects with type 2 diabetes in our study. Although we agree it would be interesting to further subclassify subjects by glucose dysregulation status, the use of post hoc subset analysis is far less robust statistically and prone to type 2 error. We agree that metabolic variables and, in particular, measures of insulin resistance are important to consider when interpreting data on adipocytokines, which are intimately related to these factors. Indeed, our data showed the close association between both AFABP and lipocalin-2 to insulin resistance, body mass index, and waist circumference. To ensure our findings were independent of key confounders, we performed multivariate analysis for each histological endpoint in NAFLD using those factors significant on univariate analysis.1 We demonstrated that the association between AFABP and necroinflammatory and fibrotic activity is independent of abdominal obesity (the waist-hip ratio), cholesterol, high-density lipoprotein, and insulin resistance. For further clarity, as suggested by Prof. Dogru, we provide in Table 1 the relationship between AFABP and disease severity in NAFLD, directly controlled for insulin resistance and the key metabolic variables of body mass index, low-density lipoprotein, high-density lipoprotein, triglycerides, and glucose. This conclusively demonstrates that AFABP plays an important role in the pathogenesis of NAFLD independent of metabolic confounders. David van der Poorten*, Kerry-Lee Milner , Donald J. Chisholm , Jacob George*, * Storr Liver Unit, Westmead Millennium Institute, University of Sydney, Sydney, Australia, Garvan Institute of Medical Research, University of New South Wales, Sydney, Australia.
Dyslipidemia
Steatohepatitis
Steatosis
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