Dietary Intake and Chronic Disease Prevention

Noce, Annalisa; Romani, Annalisa; Bernini, Roberta

doi:10.3390/nu13041358

Cited by 37 publications

(24 citation statements)

References 44 publications

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“…With the rapid development of social economy and the change of people's lifestyle, the diseases threatening human health are gradually changed from infectious diseases to noncommunicable diseases (NCDs). A survey report by the World Health Organization (WHO) pointed out that NCDs have become the primary factor of human death [ 2 ]. The main harm of NCDs is to cause damage to important organs such as heart, brain, and kidney, and lifelong diseases [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

Psychosocial Factors and Psychological Characteristics of Personality of Patients with Chronic Diseases Using Artificial Intelligence Data Mining Technology and Wireless Network Cloud Service Platform

2022

Computational Intelligence and Neuroscience

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It was to explore the application value of health cloud service platform based on data mining algorithm and wireless network in the analysis of psychosocial factors and psychological characteristics of personality of patients with chronic diseases. Based on the demand analysis of cloud service platform for chronic diseases, a health cloud service platform including three modules was established: support layer, application layer, and interaction layer; and K-means algorithm and Apriori algorithm were used to mine and process data. The changes of pulse wave and EEG signal of epileptic seizures before and after processing by wireless network health cloud service platform were analyzed. 42 patients with idiopathic generalized epilepsy were selected as the research subjects, and 40 volunteers with normal physical examination during the same period were selected as the control group. The differences in the basic clinical characteristics data, Hamilton Anxiety Scale (HAMA), Hamilton Depression Scale (HAMD), Symptom Checklist 90 (SCL-90), and Eysenck Personality Questionnaire-Revision Short Scale for Chinese (EPQ-RSC) were compared between the two groups. It was found that the initial EEG signals of epileptic patients had noise pollution before and after the seizure, and the noise in the EEG signals was filtered out after digital technology processing in the cloud service platform. The maximum number of epileptic patients aged 18∼30 years was 17 (40.48%), and the mean scores of HAMD and HAMA scales in the epileptic group were significantly higher than those in the control group ( P < 0.001 ). The total score of SCL-90, somatization, obsessive-compulsive symptoms, interpersonal sensitivity, depression, anxiety, hostility, phobic anxiety, paranoid ideation, and psychosis in the epilepsy group were obviously higher than those in the control group ( P < 0.01 ). The mean value of EPQ-RSC and neuroticism (N) was clearly higher ( P < 0.05 ), the mean value of extroversion (E) was significantly lower ( P < 0.01 ), and the mean value of Lie Scale was significantly higher ( P < 0.05 ) in the epileptic group in contrast with those in the control group. It indicates that the cloud service platform for chronic diseases based on artificial intelligence data mining technology and wireless network has potential application value. Epilepsy patients with chronic diseases should be paid more attention to their psychosocial factors and psychological characteristics of personality in the treatment process.

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Section: Introductionmentioning

confidence: 99%

Psychosocial Factors and Psychological Characteristics of Personality of Patients with Chronic Diseases Using Artificial Intelligence Data Mining Technology and Wireless Network Cloud Service Platform

2022

Computational Intelligence and Neuroscience

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“…However, patients are not always compliant with the nutritional restraints and they often refuse the nutritional approaches, or, conversely, they strictly adhere to the diet, eliminating most foods and consequently introducing a low caloric intake. In this context, it is common the onset of malnutrition, and a nutritional evaluation should be conducted by an experienced renal nutritionist [ 42 , 43 ]. The pathological mechanisms that cause MIA syndrome are also attributable to reduced kidney ability to maintain blood acid-base homeostasis, as mentioned above [ 44 ].…”

Section: Alterations Of Nutritional Status In Hemodialysis Patientsmentioning

confidence: 99%

The Impact of Chronic Kidney Disease on Nutritional Status and Its Possible Relation with Oral Diseases

et al. 2022

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Several studies have demonstrated a strong relation between periodontal diseases and chronic kidney disease (CKD). The main mechanisms at the base of this link are malnutrition, vitamin dysregulation, especially of B-group vitamins and of C and D vitamins, oxidative stress, metabolic acidosis and low-grade inflammation. In particular, in hemodialysis (HD) adult patients, an impairment of nutritional status has been observed, induced not only by the HD procedures themselves, but also due to numerous CKD-related comorbidities. The alteration of nutritional assessment induces systemic manifestations that have repercussions on oral health, like oral microbiota dysbiosis, slow healing of wounds related to hypovitaminosis C, and an alteration of the supporting bone structures of the oral cavity related to metabolic acidosis and vitamin D deficiency. Low-grade inflammation has been observed to characterize periodontal diseases locally and, in a systemic manner, CKD contributes to the amplification of the pathological process, bidirectionally. Therefore, CKD and oral disease patients should be managed by a multidisciplinary professional team that can evaluate the possible co-presence of these two pathological conditions, that negatively influence each other, and set up therapeutic strategies to treat them. Once these patients have been identified, they should be included in a follow-up program, characterized by periodic checks in order to manage these pathological conditions.

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“…According to cohort study, adopting a healthy plant-based diet may reduce the risk of cardiovascular disease in the general population, irrespective of genetic susceptibility [ 12 ]. Higher consumption of saturated fatty acid, salt, sugars, excessive alcohol, and low intake of fruit, vegetables, fiber, omega-3, and egg consumption are factors contributing to chronic disease [ 13 , 14 ]. However, one review study amounts of eggs consumed by adults have no significant influence on systolic and diastolic blood pressure [ 15 ].…”

Section: Introductionmentioning

confidence: 99%

Circulating Inflammatory Markers May Mediate the Relationship between Healthy Plant-Based Diet and Metabolic Phenotype Obesity in Women: A Cross-Sectional Study

Mohamadi

Shiraseb

Mirzababaei

et al. 2022

International Journal of Clinical Practice

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Background. It has been posited that both metabolically healthy obesity (MHO) and metabolically unhealthy obesity (MUHO) could be emergent from diet and inflammatory markers. Thus, we sought to investigate the influence of plant-based diet on MHO and MUHO phenotypes mediated by inflammatory markers in overweight and obese women. Methods. This cross-sectional study was conducted on 289 women aged ≥18 years, with a body mass index (BMI) ≥25 kg/m2. Dietary intake was measured using 147 item food frequency questionnaire, as well as anthropometrics and biochemistry panel, in all participants. Metabolic health phenotypes were considered using Karelis score, while plant-based diet indices (PDI) were evaluated based on 18 food groups, where healthy and unhealthy PDI were identified. Results. Accordingly, 26.9% of women had MHO and 73.1% had MUHO phenotypes. After adjusting for potential confounders, TGF-β1 had a significant inverse association with hPDI (β: −0.28; 95% CI: 452.99, −85.25; P : 0.004). Moreover, we found that women with higher hPDI had lower odds of MUHO (OR: 0.95; 95% CI: 0.39, 2.30; P : 0.03). Regarding the mediatory effect of the inflammatory markers, TGF-β1 ( P : 0.73), IL-β1 ( P : 0.14), and MCP1 ( P : 0.51) played a role in decreasing the odds of MUHO among hPDI tertiles. Conclusion. There was a significant inverse relationship between adherence to hPDI and MUHO phenotype in overweight and obese Iranian women. This association appeared to be mediated by TGF-β1, IL-β1, and MCP1.

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Dietary Intake and Chronic Disease Prevention

Abstract: Non-communicable diseases (NCDs) are non-infectious chronic pathologies [...]

Cited by 37 publications

References 44 publications

Psychosocial Factors and Psychological Characteristics of Personality of Patients with Chronic Diseases Using Artificial Intelligence Data Mining Technology and Wireless Network Cloud Service Platform

Psychosocial Factors and Psychological Characteristics of Personality of Patients with Chronic Diseases Using Artificial Intelligence Data Mining Technology and Wireless Network Cloud Service Platform

The Impact of Chronic Kidney Disease on Nutritional Status and Its Possible Relation with Oral Diseases

Circulating Inflammatory Markers May Mediate the Relationship between Healthy Plant-Based Diet and Metabolic Phenotype Obesity in Women: A Cross-Sectional Study

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