3
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Analysis of the Impact of Type 2 Diabetes on the Psychosocial Functioning and Quality of Life of Perimenopausal Women

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Menopause is a natural period resulting from the decrease in hormonal activity of the ovaries. Growing hormonal deficiencies and changes in the body influence a variety of functions in women, leading to depression and decreased quality of life. The relationship between body composition, the severity of depressive and climacteric symptoms and the quality of life of women with type 2 diabetes and healthy women in the perimenopausal period was studied. Statistically significant differences were observed between the study and control groups regarding all body composition parameters except for protein and the content of torso soft tissues ( p < 0.05). In both the study and control groups, resulting symptoms were significantly correlated with numerous body composition parameters (e.g., body mass, fat tissue mass, minerals, abdominal circumference), while symptoms of depression were significantly correlated with similar parameters only in the control group. A statistically relevant relationship was observed between the study and control groups with respect to quality of life in certain domains. The quality of life of women suffering from type 2 diabetes was worse compared with healthy women. Analysis of body composition showed significant differences between healthy women and those with type 2 diabetes. Healthy women showed a tendency to establish a link between body composition and depressiveness.

          Related collections

          Most cited references51

          • Record: found
          • Abstract: found
          • Article: not found

          Depression in type 2 diabetes mellitus: prevalence, impact, and treatment.

          Clinically significant depression is present in one of every four people with type 2 diabetes mellitus (T2DM). Depression increases the risk of the development of T2DM and the subsequent risks of hyperglycemia, insulin resistance, and micro- and macrovascular complications. Conversely, a diagnosis of T2DM increases the risk of incident depression and can contribute to a more severe course of depression. This linkage reflects a shared etiology consisting of complex bidirectional interactions among multiple variables, a process that may include autonomic and neurohormonal dysregulation, weight gain, inflammation, and hippocampal structural alterations. Two recent meta-analyses of randomized controlled depression treatment trials in patients with T2DM concluded that psychotherapy and antidepressant medication (ADM) were each moderately effective for depression and that cognitive behavior therapy (CBT) had beneficial effects on glycemic control. However, the number of studies (and patients exposed to randomized treatment) included in these analyses is extremely small and limits the certainty of conclusions that can be drawn from the data. Ultimately, there is no escaping the paucity of the evidence base and the need for additional controlled trials that specifically address depression management in T2DM. Future trials should determine both the effects of treatment and the change in depression during treatment on measures of mood, glycemic control, and medical outcome.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            The metabolic syndrome and adipocytokines.

            Visceral fat accumulation has been shown to play crucial roles in the development of cardiovascular disease as well as the development of obesity-related disorders such as diabetes mellitus, hyperlipidemia and hypertension and the so-called metabolic syndrome. Given these clinical findings, adipocytes functions have been intensively investigated in the past 10 years, and have been revealed to act as endocrine cells that have been termed adipocytokines, which secrete various bioactive substances. Among adipocytokines, tumor necrosis factor-alpha, plasminogen activator inhibitor type 1 and heparin binding epidermal growth factor-like growth factor are produced in adipocytes as well as other organs, and may contribute to the development of vascular diseases. Visfatin has been identified as a visceral-fat-specific protein that might be involved in the development of obesity-related diseases, such as diabetes mellitus and cardiovascular disease. On the contrary to these adipocytokines, adiponectin, an adipose-tissue-specific, collagen-like protein, has been noted as an important antiatherogenic and antidiabetic protein, or as an anti-inflammatory protein. The functions of adipocytokine secretion might be regulated dynamically by nutritional state. Visceral fat accumulation causes dysregulation of adipocyte functions, including oversecretion of tumor necrosis factor-alpha, plasminogen activator inhibitor type 1 and heparin binding epidermal growth factor-like growth and hyposecretion of adiponectin, which results in the development of a variety of metabolic and circulatory diseases. In this review, the importance of adipocytokines, especially focusing on adiponectin is discussed with respect to cardiovascular diseases.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Using genetics to understand the causal influence of higher BMI on depression

              Abstract Background Depression is more common in obese than non-obese individuals, especially in women, but the causal relationship between obesity and depression is complex and uncertain. Previous studies have used genetic variants associated with BMI to provide evidence that higher body mass index (BMI) causes depression, but have not tested whether this relationship is driven by the metabolic consequences of BMI nor for differences between men and women. Methods We performed a Mendelian randomization study using 48 791 individuals with depression and 291 995 controls in the UK Biobank, to test for causal effects of higher BMI on depression (defined using self-report and Hospital Episode data). We used two genetic instruments, both representing higher BMI, but one with and one without its adverse metabolic consequences, in an attempt to ‘uncouple’ the psychological component of obesity from the metabolic consequences. We further tested causal relationships in men and women separately, and using subsets of BMI variants from known physiological pathways. Results Higher BMI was strongly associated with higher odds of depression, especially in women. Mendelian randomization provided evidence that higher BMI partly causes depression. Using a 73-variant BMI genetic risk score, a genetically determined one standard deviation (1 SD) higher BMI (4.9 kg/m2) was associated with higher odds of depression in all individuals [odds ratio (OR): 1.18, 95% confidence interval (CI): 1.09, 1.28, P = 0.00007) and women only (OR: 1.24, 95% CI: 1.11, 1.39, P = 0.0001). Meta-analysis with 45 591 depression cases and 97 647 controls from the Psychiatric Genomics Consortium (PGC) strengthened the statistical confidence of the findings in all individuals. Similar effect size estimates were obtained using different Mendelian randomization methods, although not all reached P < 0.05. Using a metabolically favourable adiposity genetic risk score, and meta-analysing data from the UK biobank and PGC, a genetically determined 1 SD higher BMI (4.9 kg/m2) was associated with higher odds of depression in all individuals (OR: 1.26, 95% CI: 1.06, 1.50], P = 0.010), but with weaker statistical confidence. Conclusions Higher BMI, with and without its adverse metabolic consequences, is likely to have a causal role in determining the likelihood of an individual developing depression.
                Bookmark

                Author and article information

                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                17 June 2020
                June 2020
                : 17
                : 12
                : 4349
                Affiliations
                [1 ]Department of Obstetrics and Pathology of Pregnancy, Pomeranian Medical University, 71-210 Szczecin, Poland; malgorzata.zimny@ 123456pum.edu.pl (M.Z.); olimpiasipak-szmigiel@ 123456wp.pl (O.S.-S.)
                [2 ]Department of Nursing, Pomeranian Medical University, 71-210 Szczecin, Poland; mlary@ 123456pum.edu.pl (M.S.); grochans@ 123456pum.edu.pl (E.G.)
                [3 ]Department of Clinical Nursing, Pomeranian Medical University, 71-210 Szczecin, Poland; katkar@ 123456pum.edu.pl
                Author notes
                [* ]Correspondence: szkup.m1@ 123456gmail.com
                Author information
                https://orcid.org/0000-0003-1365-5818
                https://orcid.org/0000-0002-1349-8069
                https://orcid.org/0000-0002-0606-5599
                https://orcid.org/0000-0002-3679-7002
                https://orcid.org/0000-0002-3410-1809
                Article
                ijerph-17-04349
                10.3390/ijerph17124349
                7345346
                32560531
                216118df-41bc-4e8b-8121-827ca719a2c6
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 18 May 2020
                : 11 June 2020
                Categories
                Article

                Public health
                body composition,type 2 diabetes,resulting symptoms,depressiveness,quality of life,perimenopausal period

                Comments

                Comment on this article