Poor Lifestyle Research Articles

Viscoelastic or Viscoplastic Glucose Theory (VGT #43): A Research of Statistics Methods Influences on Math-Physical Medicine Subjects by using Statistical Correlations as Initial Examination Tool to Explore the Inter-Relationships of Three Selected Biomarkers, CVD Risk %, Averaged Daily Glucose (eAG), and HbA1C % (A1C), within Three Different Selected Time-Windows, 15-Months, 46-Months, and 8.2 Years (98-Months), also Applying VGT and Viscoelastic

Since 2012, the author has been collecting his body weight and finger-piercing glucose values each day. In addition, he accumulates medical conditions data including a combination of data for blood pressure (BP), heart rate (HR), and blood lipids along with lifestyle details (LD). Based on the collected big data, he further organized them into two main groups. The first is the medical conditions group (MC) with 4 categories: weight, glucose, blood pressures, and blood lipids. The second is the LD group with 6 categories: food & diet, exercise, water intake, sleep, stress, and daily routines. At first, he collected his data on a daily basis since Y2012 and then calculated a unique combined daily score for each of the 10 categories within the MC and LD groups. The combined scores of the 2 groups, 10 categories, and 500+ detailed elements constitute an overall “metabolism index (MI) model”. This MI model includes the root causes from 6 major lifestyle inputs and symptoms from 4 rudimentary chronic diseases: obesity, diabetes, hypertension, and hyperlipidemia. Therefore, it can serve as the foundation and building block for his additional research work that can expand into various diseases associated with different organs, such as cardiovascular diseases (CVD), and various cancers. As we know, lifestyle details cause rudimentary chronic diseases which further influence more complicated diseases, such as heart problems (CVD & CHD), chronic kidney disease (CKD), stroke, diabetic retinopathy (DR), neuropathy, hypothyroidism, and others. Some genetic conditions and lifetime unhealthy habits, such as smoking, alcohol consumption, illicit drug use would account for approximately 15% to 25% of the root cause for rudimentary chronic diseases & their complications, including cancers and dementia. In addition to the genetic conditions, lifetime bad habits, and lifestyle details, some external factors, i.e., environmental factors, such as radiation, air and water pollution, food poison and pollution, toxic chemicals, and hormonal therapy, can also contribute to the causes for a variety of cancers. All of the above-mentioned diseases fall into the category of “symptoms” which are the “root-causes” of poor and unhealthy lifestyles

Viscoelastic or Viscoplastic Glucose Theory (VGT #41): Applying VGT to Study the Relationship of CVD Risk Probability % Versus Sensor Daily Average Glucose (eAG) and its Calculated HbA1C, while using the Viscoelastic Perturbation Model to Predict Two CVD Risk % Values over a 15-Month Period from October of Y2020 to February of Y2022 Based on the GH-Method: Math-Physical Medicine (No.

Since 2012, the author has been collecting his body weight (m1) and finger-piercing glucose values (m2) each day. In addition, he accumulates medical conditions data including a combination of data for blood pressure (BP) and heart rate (HR), and blood lipids along with lifestyle details of diet, exercise, sleep, stress, water intake and daily routine details. Based on the collected big data, he further organized them into two main groups. The first group is medical conditions (MC) with 4 categories: weight, glucose, BP, and blood lipids. The second group is lifestyle details (LD) with 6 categories: food & diet, exercise, water intake, sleep, stress, and daily routines. He collects his daily data and then calculates a unique combined score for each MC and LD with their 10 categories. The combined scores of the 2 groups, 10 categories, and 500+ elements constitute an overall “metabolism index (MI) model”. This MI model includes the root causes of 6 lifestyle inputs and 4 symptoms of the disease including the rudimentary chronic diseases: obesity, diabetes, hypertension, and hyperlipidemia. As we know, lifestyle details cause rudimentary chronic diseases which further influence more complicated diseases, such as heart problems (CVD & CHD), chronic kidney disease (CKD), stroke, diabetic retinopathy (DR), neuropathy, hypothyroidism, and others. However, in addition to the lifestyle-induced chronic disease and complications, environmental factors, such as radiation, air and water pollution, food poison and pollution, toxic chemicals, and hormonal therapy, can contribute to the causes for a variety of cancer. Some genetic conditions and lifetime unhealthy habits, such as smoking, alcohol consumption, illicit drug use would account for approximately 15% to 25% of the root cause for rudimentary chronic diseases, complications, and cancer. All of the above-described diseases fall into the “symptoms” category which are the “root-causes” due to poor and unhealthy lifestyles. In this article, the author applies the viscoelasticity and viscoplasticity theories to conduct his research to discover some hidden behavior or possible relationship among 3 key biomarkers, CVD risk % (a symptom disease), daily average sensor glucose (eAG), and its related sensor HbA1C (A1C). The hidden behaviors and possible inter-relationships among the three biomarkers are “time-dependent” which change from time to time. This is why he applies viscoelastic & viscoplastic theories (VGT) to conduct his recent research work. The author previously conducted similar analyses for this set of biomarkers but used a traditional statistical regression method. Generally speaking, statistical methods only deal with numerical characteristics of collected datasets and do not influence the internal physical characteristics. Incidentally, the accuracy and applicability of using any statistical analysis results are heavily dependent on characteristics of the data sample, data sample size, and the time-window of the dataset. Therefore, we must be careful in selecting appropriate statistical methods and treat their analysis conclusions cautiously.

Viscoelastic or Viscoplastic Glucose Theory (VGT #42): Using Statistical Correlation as an Initial Examination Tool Before Applying VGT to Study the Inter-Relationships of the CVD Risk Probability % Versus Sensor Daily Average Glucose (eAG) & HbA1C, Before Applying the Viscoelastic Perturbation Model to Predict Two CVD Risk Probability % over a 46-Month Period from May of Y2018 to February of

Since 2012, the author has been collecting his body weight and finger-piercing glucose values each day. In addition, he accumulates medical conditions data including a combination of data for blood pressure, heart rate, and blood lipids along with lifestyle details of diet, exercise, sleep, stress, water intake and daily routine details. Based on the collected big data, he further organized them into two main groups. The first group is medical conditions (MC) with 4 categories: weight, glucose, BP, and blood lipids. The second group is lifestyle details (LD) with 6 categories: food & diet, exercise, water intake, sleep, stress, and daily routines. He collects his daily data and then calculates a unique combined score for each MC and LD with their 10 categories. The combined scores of the 2 groups, 10 categories, and 500+ elements constitute an overall “metabolism index (MI) model”. This MI model includes the root causes for 6 lifestyle inputs and 4 symptoms of diseases including the rudimentary chronic diseases: obesity, diabetes, hypertension, and hyperlipidemia. It serves as the foundation and building block for his additional research work expanded into various diseases associated with different organs. As we know, lifestyle details cause rudimentary chronic diseases which further influence more complicated diseases, such as heart problems (CVD & CHD), chronic kidney disease (CKD), stroke, diabetic retinopathy (DR), neuropathy, hypothyroidism, and others. Some genetic conditions and lifetime unhealthy habits, such as smoking, alcohol consumption, illicit drug use would account for approximately 15% to 25% of the root cause for rudimentary chronic diseases & their complications, and cancers. In addition to the genetic conditions, lifetime bad habits, and lifestyle details, some environmental factors, such as radiation, air and water pollution, food poison and pollution, toxic chemicals, and hormonal therapy, can also contribute to the causes for a variety of cancers. All of the above-described chronic diseases fall into the category of “symptoms” which are resulted from the “root-causes” of poor and unhealthy lifestyles.

Management of Lifestyle Disorders with Tenets of Ayurveda

Ayurveda is one of the world’s ancient health care systems. Ayurveda has always emphasized maintaining the health and prevention of diseases by following a proper diet and lifestyle regimen rather than treatment and cure of the diseases. Ayurveda describes Traya-upastambhah, three pillars for a healthy life are Aahar (proper diet), Nidra (proper sleep), and Brahmacharya (celibacy). Aahar has been given prime importance since the Vedic Period. It is considered Brahma in Upanishad. Acharaya Kashyapa gives it the name “Mahabhaisajya”. Lifestyle disorders originate due to Poor lifestyle which includes poor diet, poor eating habits, Viruddhahara (dietetic incompatibility), lack of exercise, Smoking, excess alcohol, poor sleep, stress due to heavy workload, and increased consumption of unhealthy food. So, nowadays the number of individuals having lifestyle diseases like Heart disease, Obesity, Diabetes, Hypertension, and Cancer are continuously increasing and these are the primary cause of death. According to WHO, four main types of lifestyle disorders are Cardiovascular disease, Cancer, Chronic respiratory diseases, and Diabetes. Diseases of infective origin can be easily treated as compared to lifestyle disorders because lifestyle disorders are generally non-reversible. It is the need of time to review the Ayurveda in order to apply measures in preventing the upcoming epidemic of lifestyle disorders which are preventable with changes in diet (ahara), lifestyle, and environment.

NUTRITIONAL NEEDS FOR CARDIOVASCULAR HEALTH IN PAKISTANI POPULATION

Cardiovascular disease (CVD) is the leading cause of death worldwide; responsible for 30% of all deaths globally. Food and nutrition are evidently an integral part of human health and play a crucial role in the cardiometabolic health of an individual. Poor diet quality is strongly associated with elevated risk of CVD morbidity and mortality. There is also strong evidence showing the effectiveness of “healthy” diet and other lifestyle patterns in the primary and secondary prevention of cardiometabolic disease spectrum. There has been much emphasis on the preventive aspect of CVD and overall cardiometabolic health over the last three decades. Western societies and health systems have done quite a lot in improving and promoting healthy lifestyle choices. Unfortunately, developing countries, despite the worrisome rise in these preventable conditions, have contributed little to address this major issue with significant health and economic implications. The emphasis in these countries is mostly on the therapeutic, pharmacological, and more expensive tertiary management of the conditions that arise from poor cardiometabolic health, lifestyle, and dietary patterns. There is a lack of relevant and easy to understand authentic patient information or any effort to disseminate it to the public and patient population. Furthermore, there is not much effort at the governmental level to implement any meaningful measures concerning prevention of these conditions for the public at large. In this review about the nutritional needs and recommendations for cardiovascular health for Pakistani population, we have tried to encompass the relevant information into two papers. In the first, we cover the basic concepts, including mechanisms and other information relating to food and nutrition and their association with CVD and other cardiometabolic conditions (diabetes, dyslipidaemia, etc.). In the upcoming second issue, we will discuss more specific recommendations for the Pakistani population and dietary advice for CV health.

Kaphaketu Rasa as a Potential Anti-Inflammatory Ayurveda Herbo-Mineral Drug

In the present scenario, people are more prone to various diseases due to poor immunity arising due to lifestyle changes, smoking, and air pollution. Poor lifestyle is responsible for Kapha predominant diseases like Kasa, Shwasa, and other metabolic as well as auto-immune disorders. In Ayurvedic pharmaceutics, Kaphaketu Rasa (KKR) consisting of Aconitum chasmanthum Stapf ex Holmes (Vatsanabha), purified Borax (Tankana), Incinerated Conch shell (Shankha Bhasma), Piper longum Linn., and Zingiber officinale Roxb. Has been indicated for Kapha related diseases. Eight varieties by the name of KKR are documented in Ayurvedic texts. To understand the rationale of mentioning these varieties and to explore the potential areas of its usefulness in contemporary clinical conditions, this study was performed. Information regarding this formulation was collected from the major Ayurveda texts as well as electronic sources for available scientific evidence, commercial availability of the formulation was also checked. The available data supports its use as a potent Kapha pacifying formulation whereas scientific evidence supports its action as an anti-inflammatory, analgesic, antipyretic, antispasmodic, anti-allergic as well as mucolytic agent. However, this formulation needs to be studied through animal and clinical studies to understand and explore its mode of action, drug interactions, dose-response relationships, adverse reactions, etc., in different clinical conditions.

P-363 Systematic review and meta-analysis of female lifestyle factors and risk of recurrent pregnancy loss (RPL)

Abstract Study question What is the impact of female lifestyle (BMI, smoking, caffeine, alcohol) on RPL in the general population and on further miscarriage in the RPL population? Summary answer Being underweight and BMI>25 contributes significantly to increased risk of RPL (general population). BMI>25 or BMI>30 increases the risk of further miscarriages (RPL population) What is known already Lifestyle factors are modifiable and in many instances lifestyle optimisation enhances the chances of a positive reproductive outcome. Whilst the specific mechanisms leading to early pregnancy loss is still relatively unknown, poor lifestyle is associated with a hostile reproductive environment whereby optimal embryo implantation and securement of a pregnancy is compromised. The peri-implantation intrauterine environment is a key determinant of pre-implantation embryo development and early programming. RPL is a complex disease where causation has been attributed to numerous factors and whilst it is known that lifestyle factors affect sporadic miscarriage, the extent of this on RPL is less well known. Study design, size, duration A systematic review and meta-analysis was performed to assess the associations between lifestyle factors and RPL. Studies that analysed RPL in the context of BMI, smoking, alcohol and caffeine intake were included. The primary and secondary outcomes were odds of having RPL in the general population and odds of further miscarriage, respectively. Participants/materials, setting, methods Studies were included if they explored women of reproductive age who had been exposed to an aspect of female lifestyle. We excluded studies which assessed the effectiveness of an intervention aimed at altering lifestyle and studies which assessed lifestyle factors in the context of IVF outcomes or associations with PCOS. We screened all studies, reviewing full papers where required and disregarding those that did not meet the eligibility criteria using a double-blind approach. Main results and the role of chance The systematic search identified a total of 24, 705 records and an additional 194 records through hand-searching of references. 16 studies were included in this systematic review and meta-analysis. None of these studies were RCTs; there were 8 case control studies, 6 cohort studies, 1 survey-based study and 1 cross-sectional study. Underweight and women with BMI > 25 are at higher odds of RPL in the general population (OR 1.2, 95% CI 1.12–1.28 and OR 1.21, 95% CI 1.06–1.38, respectively). In women with RPL, having BMI > 30 and BMI > 25 has increased odds of further miscarriages (OR 1.77, 95% CI 1.25–2.50 and OR 1.35, 95% CI 1.07–1.72, respectively). The odds of RPL in the general population is increased in women who were cigarette smokers compared to non-smokers but this is not statistically significant (OR 1.62, 95% CI 0.90–2.93). Alcohol intake compared with no alcohol intake increases the risk of RPL, however this is not statistically significant (OR 1.12, 95% CI 0.88–1.44). The odds of RPL in the higher caffeine intake group (>99mg/day) compared to the lower caffeine intake group (≤99mg/day) is higher but not significant (OR 1.35, 95% CI 0.83–2.19). Limitations, reasons for caution The quality of the evidence was low or very low, mainly due to heterogeneity in study populations. There were inconsistencies in the definition of RPL, some studies included women with ‘≥3 consecutive miscarriages’, others ‘≥2 miscarriages’. We did not explore the impact of male lifestyle on the risk of RPL. Wider implications of the findings Being underweight and BMI>25 contributes significantly to increased risk of RPL. BMI>25 or BMI>30 increases the risk of further miscarriages in the RPL population. Studies addressing the effects of alcohol, cigarette smoking and caffeine on the risk of RPL with optimisation of BMI in this cohort of women are warranted. Trial registration number Is the frequency of low plasma-mannose-binding lectin (p-MBL) levels increased in recurrent pregnancy loss (RPL) after spontaneous conception or IVF/ICSI and recurrent implantation failure (RIF)?

The prevalence and factors associated with anxiety symptoms among resident physicians in Oman: a cross-sectional study

BackgroundAnxiety disorders are a significant factor associated with physician burnout and poor patient care, reported to have a significant frequency among the youth in the Middle East. However, to date, no study has explored the prevalence of anxiety among resident physicians in the Arabian Gulf country of Oman. This cross-sectional study, conducted among a random sample of residents affiliated with the Oman Medical Specialty Board, aimed to examine the frequency and factors associated with anxiety symptoms among them. Participants were asked to complete the General Anxiety Disorder Assessment (GAD-7) to assess anxiety, as well as a socio-demographic questionnaire.ResultsIn a total of 251 residents, the prevalence of anxiety was 14.7% (GAD-7 cut-off score ≥ 10). More than 60% of the respondents were female (68.9%). The age breakdown ranged from 25 to 30 years old (66.5%) and the majority were married (64.9%). More than 70% of respondents attended at least 5 shifts in their weekly schedule and received at least 5 on-call shifts from the hospital per week. Logistic regression showed that residents with chronic disease were 2.5 times (95% CI 1.36–4.72, p = 0.003) more likely to have anxiety than those without them. Those residents who did not exercise were 2.1 times (95% CI 1.04–4.46, p = 0.038) more likely to have anxiety than those who exercise often or regularly. Residents who received 6 or more on-calls from the hospital were 2.6 times (95% CI 1.35–5.25, p = 0.005) more likely to have anxiety than those who received 5 or fewer on-calls in a month.ConclusionsThe factors seemingly responsible for anxiety symptoms in this sample of resident physicians are those that are typically associated with poor work-life balance and unhealthy lifestyles. Pending further scrutiny, these results could be used to lay the groundwork for the identification of those who will require more protracted help during their training in Oman and in other culturally similar Middle Eastern countries.

Depression and Its Association With Self-Esteem and Lifestyle Factors Among School-Going Adolescents in Kuala Lumpur, Malaysia.

IntroductionDepression is a prevalent mental health condition worldwide and in Malaysia. Depression among adolescents has been steadily increasing. Self-esteem has been known to be associated with depression. It has been postulated that a poor lifestyle among adolescents is associated with depression. This paper aims to study the correlation of self-esteem, lifestyle (eating behavior, physical activity, and internet usage) with depression among Malaysian youth.MethodologyThis is a cross-sectional study among secondary school children from 5 random schools in an urban city of Kuala Lumpur, Malaysia. Those with intellectual disability and/or difficulty to comprehend Malay language, and without parental consent and assent, were excluded. Students from randomly selected classes aged 13-year-old to 17-year-old were invited to fill in these questionnaires: Socio-demographic Questionnaire, Rosenberg Self-esteem Questionnaire, Physical Activity Questionnaire (PAQ-A), Eating Disorder Examination Questionnaires (EDE-Q), Internet Addiction Test Scale (IAT), and Children's Depression Inventory (CDI).Result461 students participated in the study. 21.5% of the participating students were found to have depression (n = 99). Younger age and Chinese race showed significant association with adolescent depression with a p-value of 0.032 and 0.017 respectively. Other significant correlations with depression were self-esteem (p = 0.013), disordered eating (p = 0.000), lower physical activity (p = 0.014) and problematic internet usage (p = 0.000).DiscussionThe prevalence of depression among adolescents in this study (21.5%) is in line with previous prevalence studies in Malaysia. Self-esteem is postulated to be a moderating factor for depression hence explaining the significant association. A sedentary lifestyle may increase the risk of developing depression, The causal relationship between problematic internet usage and depression is complex and difficult to establish. This is similar to the relationship between problematic eating behavior and depression as well.ConclusionThere is still a need to explore the causal relationship between lifestyle factors and depression among youth. Despite that, the results from this paper have accentuated the gravity of the importance of a healthy lifestyle among adolescents. An appropriate preventive measure is governmental strategies and policies aiming at improving a healthier lifestyle in this age group.

The possible role of the Microbiota-Gut-Brain-Axis in the etiology of Major depressive Disorder (MDD) The possible role of the Microbiota-Gut-Brain-Axis in the etiology of Major depressive Disorder (MDD) The possible role of the Microbiota-Gut-Brain-Axis in the etiology of Major depressive Disorder (MDD)

Introduction1.Introduction MDD is a heterogeneous disorder, with a wide variety of symptoms and inconsistent treatment response, and is not completely understood. A dysregulated stress system is a consistent finding, however, and exhaustion is a consistent trait in adolescent patients. In order to open up our thinking about MDD we take up the challenge to reframe depression, specifically focusing on the possible role of the Microbiota-Gut-Brain-Axis in the etiology of MDD.ObjectivesWe propose a ‘bidirectional feedback hypothesis’: microbiota can promote or inhibit a pro-inflammatory state, (in)directly altering the hypothalamic pituitary adrenal (HPA) axis response and the microbiome and further increasing or decreasing its pro-inflammatory state. The aim is to show that the pro-inflammatory state is an integral part of a HPA axis stress spiralling mechanism that plays a role in the etiology of MDD.MethodsA systematic review based on publications from PubMed, Embase and PsycInfoResultsThe etiology of MDD can be understood as sliding down a spiral. This stress spiralling mechanism can be promoted or inhibited by: 1.factors such as a poor lifestyle or (pre-existing) illness 2.bettering someone’s lifestyle, coping behavior or providing pro-/prebiotics in combination with personalised therapeutics.Conclusions We argue that an interdisciplinary One Health approach is the most promising preventive and therapeutic option for MDD.DisclosureNo significant relationships.

A Review of the Quality of Cardiometabolic Risk Monitoring Amongst Psychiatric Inpatients, and of Interventions to Reduce Their Long-Term Risk of Cardiovascular Disease

AimsIn Britain, individuals with severe mental illness die on average 15–20 years earlier than the general population. Their higher rates of cardiovascular disease contribute significantly to this. This audit reviewed how well cardiometabolic risk factors are screened for during inpatient admissions, and how frequently appropriate interventions are implemented for identified risk factors. It then assessed ways of improving current monitoring and interventions. We prioritised enhanced collaboration between patients and healthcare professionals, combined with formalising and systematising the physical health screening process.MethodsBed coordination provided identification details of all patients admitted to an all-male acute psychiatric ward from 01/05/2019–31/08/2019. Each patient's record was reviewed to ascertain whether risk factors outlined in Lester UK Adaptation: Positive Cardiometabolic Health Resource were screened for. If a risk factor in this resource's “red zone” was identified, the patient's documentation was reviewed to see whether corrective action was attempted. Raw numbers and percentages of patients receiving any given physical health check were reviewed. For abnormal results, how many patients had appropriate action taken was then also checked.Results63 patients were admitted, 50 of whom had a Rethink template completed. All physical health data (except blood results) were collected using the Rethink template.41 patients smoked tobacco: seven accepted cessation support, 19 declined cessation support, and 15 were not offered support. 9 patients had no smoking status documented.26 patients self-reported healthy lifestyles versus 24 who did not. Of these 24, 17 had no lifestyle intervention documented.31 patients had a BMI > 25, of whom two were offered support, and 28 had no documented support.12 patients were hypertensive, of whom three were offered further support, and eight had no further action documented.44 patients were normoglycaemic, fifteen had no blood glucose test, and four had pre-diabetes/diabetes of whom one was offered further support.32 patients had dyslipidaemia: one received further support, four were already on appropriate pharmacotherapy, and 27 had no further intervention documented. 25 had no bloods taken.ConclusionMost patients had identifiable cardiometabolic risk factors: smoking, BMI > 25, poor lifestyle, dyslipidaemia, hypertension, hyperglycaemia (in decreasing order). Where risk factors were identified, intervention to address these risk factors and identification of barriers to supporting patients were lacking. COVID-19 may have changed the nature of admissions and health priorities. Structural changes were implemented, including changes to admission physical health assessments, introduction of well-man clinics, and improved communication between inpatient and community settings on discharge. A re-audit is pending.

982-P: Perfect Storm in Mississippi: High Rate of Obesity Leading to Surge in Pediatric Diabetes during the COVID-Pandemic

Background: Mississippi ranks second for childhood obesity prevalence (22%) above the national average of 16 % with significant racial and health disparities. Since March 2020, stay-at home orders, virtual learning, stress, and poor lifestyle may have provided a perfect setup leading to new diagnosis of diabetes and accounting for record high hospitalizations. Objective: To determine the impact of the COVID-pandemic on the rate and clinical characteristics of newly diagnosed pediatric diabetes at University of Mississippi Medical Center. Methods: Chart review and data comparison completed for patients with new-onset-diabetes between January 20-February 2020 (pre pandemic) ; and between March 2020-October 2020 (pandemic) . Results: Table 1. African Americans were disproportionately diagnosed with diabetes (64%) . Eighty percent of obese patients had type 2 diabetes with 38% presenting in DKA, 3 patients in HHS. Four patients were COVID-positive on admission. Conclusions: Our observations corroborate the steep rise in the number of new-onset type 1 and type 2 diabetes, particularly in African Americans, in a highly prevalent obese pediatric population. Additional studies are required to determine the detailed effects of SARS-CoV-2 infection and pandemic associated psychosocial, clinical and biochemical effects on development of diabetes in the pediatric population. Disclosure N.Dixit: Research Support; Ascendis Pharma A/S, Boehringer Ingelheim International GmbH, Speaker's Bureau; Ascendis Pharma A/S. S.Pasha: None. A.P.Sukumaran: None. K.Armstrong: None. K.Topaloglu: None. L.Gholson: None. F.Kamran: None.

Lifestyle under the light of nutrological and psychological aspects in the COVID-19 pandemic: a systematic review

Introduction: Due to the emergence of the new coronavirus (whose disease is COVID-19), in 2020 the WHO declared COVID-19 a global pandemic. Preventive measures can radically change individuals' daily habits, including lifestyle-related behaviors. Sedentary behavior, anxiety, and boredom caused by home confinement can influence motivation to eat and change lifestyle patterns. Objective: To carry out a systematic review on the impacts of COVID-19 on people's diet and lifestyle, as well as to point out the main dietary and lifestyle precautions during and after the new coronavirus pandemic, based on the results of clinical studies. Methods: The rules of the Systematic Review-PRISMA Platform were followed. The search was carried out from December 2021 to April 2022 in Scopus, PubMed, Science Direct, Scielo, and Google Scholar databases. The quality of the studies was based on the GRADE instrument and the risk of bias was analyzed according to the Cochrane instrument. Results and Conclusion: Were found 264 articles. A total of 116 articles were fully evaluated and 34 studies were developed in a systematic review. There is scientific evidence that foods/nutrients and natural substances from human physiology and biochemistry such as melatonin and coenzyme Q10 control immune system functions, and many metabolic or chronic diseases have been implicated in poor diet and lifestyle. The results of the pandemic indicate there have been a variety of lifestyle changes, physical inactivity, and psychological problems. Still, adults over 40 years old, with children, unemployed, and those living in a macroeconomic region were shown to be more exposed to unhealthy behaviors. Maintaining dietary intervention through telemedicine can reduce the negative impact of eating habits and physical activity patterns.

Self-Reported Gum Bleeding, Perception, Knowledge, and Behavior in Working-Age Hong Kong Chinese-A Cross-Sectional Study.

Gingivitis and periodontitis are highly prevalent in Hong Kong, where the provision of oral health services is predominantly private. This cross-sectional study aimed to investigate the association between the oral symptoms of gum bleeding and self-reported behavioral factors, beliefs, and knowledge among Hong Kong Chinese. The research team commissioned the Public Opinion Programme of The University of Hong Kong to conduct a structured, population-based, computer-assisted telephone interview (CATI), which covered questions related to the demography, perception, and knowledge (including traditional Cantonese beliefs) of gum health, dental attendance, oral health behavior, and dental anxiety. A total of 1,265 individuals aged 25–60 years old were successfully contacted, and 704 (55.7%) reported prior gum bleeding experience. A total of 516 individuals (64.9% females, median 55–60 years) completed the CATI satisfactorily, and 321 (62.2%) experienced gum bleeding in the past 12 months. The factors that were significantly associated with reports of gum bleeding in the past 12 months include having periodontitis, sensitive teeth, having tertiary or higher education, flossing/interdental cleaning, not cleaning teeth well enough, lack of sleep, consuming too much ‘heaty’ food, avoiding going to the dentist when gums are bleeding, and waiting for gum bleeding to subside (p < 0.05, r2 =0.198; forward stepwise logistic regression). Within the limitations of this study, approximately half of the Hong Kong working-age adults surveyed reported experiencing gum bleeding, and 62.2% of the participants experienced it within the past 12 months. Members of Hong Kong’s working-age population who reported having higher levels of education appeared more readily aware of their gum problems. Those with bleeding gums, especially those who have discernable periodontitis, poor dental awareness/behaviors, and/or a poor lifestyle should be targeted to receive education and encouragement, which will allow them to take action and improve their own gum health.

Chemical and physical properties of canna (Canna edulis) and jack bean (Canavalia ensiformis)-based composite flours

Poor dietary patterns and unhealthy lifestyles are common risk factors for noncommunicable ailments, the leading causes of global death rates. Therefore, improvement of diet quality is necessary and a gluten-free diet would be the right option. This diet is not solely for patients with gluten-related diseases but has also become a trend for consumers, due to the health benefits of gluten avoidance. Underutilized food crops, including tubers and legumes, are potential raw materials for producing gluten-free food. In this study, the physicochemical properties of canna (Canna edulis) and jack bean (Canavalia ensiformis) -based composite flours were investigated. The composite flours were produced using canna flour to jack bean flour ratios of F1 (85:15), F2 (70:30), and F3 (55:45). Based on the experiment’s result, an increase in jack bean flour proportion significantly (p&lt;0.05) increased the composite flour’s protein content, lightness, and resistant starch content of composite flours, but significantly (p&lt;0.05) reduced carbohydrate content, oil holding capacity, and swelling power. According to the scoring test result, F2 (70:30) has the highest result and was selected as the best formula. Thus, a combination of canna and jack bean flours indicated promising properties of gluten-free flour for functional food alternative resources.

Associations of combined lifestyle and genetic risks with incident psoriasis: A prospective cohort study among UK Biobank participants of European ancestry

Whether the lifestyle is associated with the risk of psoriasis in the presence of different genetic risk levels remains unknown. To examine the gene-behavior interaction in association with incident psoriasis. This study is based on the data from the UK Biobank, which recruited 500,000 participants. Genetic risk was categorized into low, intermediate, and high groups. The lifestyle score comprised the body mass index, smoking, physical activity, and diet and was also categorized into the ideal, intermediate, and poor groups. Within each genetic risk group, the risks of incident psoriasis associated with each lifestyle level were investigated and compared with the low genetic risk and ideal lifestyle group. Compared with the low genetic risk and ideal lifestyle group, the poor lifestyle and high genetic risk group was associated with a hazard ratio of up to 4.625 (95% confidence interval [CI], 2.920-7.348) for psoriasis. There was no interaction between genetic risk and lifestyle. The population attributable fractions of lifestyle and genetic risk were 32.2% (95% CI, 25.1%-38.6%) and 13.0% (95% CI, 3.2%-21.8%), respectively. No verification in other independently ascertained populations. Lifestyle factors are predictive of the risk of incident psoriasis independent of genetic risk, and the relative impact of lifestyle factors was greater than that of genetic risk.

An Ayurvedic Approach to Manage PCOD - A Case Study

Polycystic Ovarian Disease (PCOD) is an endocrine disorder that causes metabolic changes in women of reproductive age. PCOD has evolved into a lifestyle disorder as a result of sedentary habits, fast food consumption, and a poor lifestyle. The precise cause of PCOD is mysterious, but high levels of insulin, hyper androgen, and LH are the main causes. PCOD symptoms include irregular menstruation, oligomenorrhea, acne, hirsutism, hair loss, obesity, and constipation. PCOD is not directly stated in the Samhita, but clinically it is similar to Aartavavaha strotas dushti, Nastaartava, Granthi, Santarponnth vyadhi, and Yonivyapad. In this present case study, a 22 year old female patient came with symptoms of irregular, delayed menstruation, scanty menses, acne on the face and hair fall. The USG report reveals polycystic patterns of both ovaries with Right ovary volume 11.6cc and Left ovary volume 11cc, both ovaries are bulky in size with increased stromal echogenicity and multiple (10-12) small follicles (2-5mm) arranged in peripheral distribution. She had taken the medication so many times but she had not been completely cured. As a result she came to our hospital for Ayurvedic treatment. Result was made on the basis of Clinical symptoms relief and USG report. So in this case study, we will look at an Ayurvedic approach in the management of Polycystic Ovarian Disease.

Association of Sleep Patterns and Lifestyles With Incident Hypertension: Evidence From a Large Population-Based Cohort Study.

BackgroundAdherence to a healthy lifestyle (no smoking, consuming a healthy diet, engaging in physical activity, and maintaining a healthy weight) is recommended in current guidelines for hypertension prevention. However, evidence regarding the association between sleep behaviors, independently and jointly with traditional lifestyle factors, and the risk of hypertension is limited.MethodsThis prospective study included 165,493 participants who are free of hypertension at baseline from the UK Biobank. Sleep behaviors, including chronotype, sleep duration, insomnia, snoring, and daytime sleepiness were used to construct a healthy sleep score. We also derived a healthy lifestyle score based on smoking status, diet quality, physical activity, and body mass index (BMI). Cox proportional hazards regression models and competing risk analyses were used to estimate the associations of the healthy sleep score and healthy lifestyle score with the risk of hypertension. The population attributable risk percent (PAR%) was estimated for increased cases of hypertension due to poor adherence to a healthy sleep pattern or a healthy lifestyle.ResultsA total of 10,941 incident hypertension cases were documented during a median of 11.8 years of follow-up. The multivariable-adjusted hazard ratio (HR) for hypertension was 0.58 [95% confidence interval (CI): 0.52, 0.65] for participants with a sleep score of 5 compared with 0–1, and 0.48 (95% CI: 0.43, 0.54) for participants with a lifestyle score of 4 compared with those who scored 0. For joint association, those with a poor sleep pattern and a poor lifestyle had the highest risk of hypertension [HR: 2.41 (95% CI: 2.12, 2.74)]. PAR% was 14.7% (95% CI: 12.3%, 17.1%), 20.1% (95% CI: 17.6%, 22.6%), and 31.7% (95% CI: 27.6%, 35.6%) for poor adherence to a healthy sleep pattern, a healthy lifestyle, and the combination of a healthy sleep pattern and a healthy lifestyle.ConclusionBoth a healthy sleep pattern and a healthy lifestyle were associated with a lower risk of hypertension, and the benefits of adhering to a healthy sleep pattern complement the well-established lifestyle for the optimal primary prevention of hypertension. These findings support the current perspective that a healthy sleep pattern is an important part of a healthful and productive lifestyle for hypertension prevention.

Dietary Patterns and Their Association with Metabolic Syndrome and Their Components in Middle-Class Adults from Damascus, Syria: A Cross-Sectional Study.

Prior to the 2016 crisis in Syria, a study conducted in Aleppo found the prevalence of metabolic syndrome to be 39.6%, which is known to be favoured by age and poor lifestyle (including physical inactivity and the consumption of hypercaloric foods, rich in saturated fats, concentrated carbohydrates, and salt), so the objective of this study was to identify the association of different dietary patterns with metabolic syndrome and their components. A cross-sectional analytical study was carried out in 104 adults aged 40 to 65 years who did not suffer from previous diseases. The sample was chosen from middle-class citizens of the city of Damascus who were contacted by telephone; they were explained about the study, the information that would be collected, and the studies that should be carried out in the clinical analysis laboratory of the Private University of Syria. A nutritional and food study was carried out using previously validated forms containing 62 items in which the food intake of the participants was studied. We apply principal component analysis and factor analysis to detect nutritional components and dietary patterns. Dietary pattern 3 (foods with simple carbohydrates and saturated fat) increased glucose levels, while dietary patterns 1 (high intake of calories, protein, and saturated fat) and 5 (fast food) increased serum triglyceride levels. In addition, pattern 1 (carbonated beverages, grains, chicken, and meat) was associated with elevated LDL cholesterol levels and the presence of the metabolic syndrome. The study findings suggest that the presence of metabolic syndrome and its components are associated with dietary patterns high in calories, protein, simple carbohydrates, and saturated fat.

Viscoelastic or Viscoplastic Glucose Theory (VGT #41): Applying VGT to Study the Relationship of CVD Risk Probability % Versus Sensor Daily Average Glucose (eAG) and its Calculated HbA1C, while using the Viscoelastic Perturbation Model to Predict Two CVD risk % Values over a 15-Month Period from October of Y2020 to February of Y2022 based on the GH-Method: MathPhysical Medicine (No.

Since 2012, the author has been collecting his body weight (m1) and finger-piercing glucose values (m2) each day. In addition, he accumulates medical conditions data including a combination of data for blood pressure (BP) and heart rate (HR), and blood lipids along with lifestyle details of diet, exercise, sleep, stress, water intake and daily routine details. Based on the collected big data, he further organized them into two main groups. The first group is medical conditions (MC) with 4 categories: weight, glucose, BP, and blood lipids. The second group is lifestyle details (LD) with 6 categories: food &amp; diet, exercise, water intake, sleep, stress, and daily routines. He collects his daily data and then calculates a unique combined score for each MC and LD with their 10 categories. The combined scores of the 2 groups, 10 categories, and 500+ elements constitute an overall “metabolism index (MI) model”. This MI model includes the root causes of 6 lifestyle inputs and 4 symptoms of the disease including the rudimentary chronic diseases: obesity, diabetes, hypertension, and hyperlipidemia. As we know, lifestyle details cause rudimentary chronic diseases which further influence more complicated diseases, such as heart problems (CVD &amp; CHD), chronic kidney disease (CKD), stroke, diabetic retinopathy (DR), neuropathy, hypothyroidism, and others. However, in addition to the lifestyle-induced chronic disease and complications, environmental factors, such as radiation, air and water pollution, food poison and pollution, toxic chemicals, and hormonal therapy, can contribute to the causes for a variety of cancer. Some genetic conditions and lifetime unhealthy habits, such as smoking, alcohol consumption, illicit drug use would account for approximately 15% to 25% of the root cause for rudimentary chronic diseases, complications, and cancer. All of the above-described diseases fall into the “symptoms” category which are the “root-causes” due to poor and unhealthy lifestyles.