The impact of weight change and measures of physical functioning on mortality

2022 ◽  
Author(s):  
Lisa J. Underland ◽  
Peter F. Schnatz ◽  
Robert A. Wild ◽  
Nazmus Saquib ◽  
Aladdin H. Shadyab ◽  
...  
Keyword(s):  
Physical Functioning ◽  
Weight Change ◽  
The Impact

Analyzing the Impact of Healthy Behavior on Weight Change with a Provable Mathematical Model (Preprint)

2020 ◽  
Author(s):  
Ayan Chatterjee ◽  
Ram Bajpai ◽  
Pankaj Khatiwada
Keyword(s):  
Physical Activity ◽  
Mathematical Model ◽  
Health Behavior ◽  
Weight Change ◽  
Simulated Data ◽  
Negative Behavior ◽  
Healthy Behavior ◽  
Healthy Habits ◽  
Lifestyle Diseases ◽  
The Impact

BACKGROUND Lifestyle diseases are the primary cause of death worldwide. The gradual growth of negative behavior in humans due to physical inactivity, unhealthy habit, and improper nutrition expedites lifestyle diseases. In this study, we develop a mathematical model to analyze the impact of regular physical activity, healthy habits, and a proper diet on weight change, targeting obesity as a case study. Followed by, we design an algorithm for the verification of the proposed mathematical model with simulated data of artificial participants. OBJECTIVE This study intends to analyze the effect of healthy behavior (physical activity, healthy habits, and proper dietary pattern) on weight change with a proposed mathematical model and its verification with an algorithm where personalized habits are designed to change dynamically based on the rule. METHODS We developed a weight-change mathematical model as a function of activity, habit, and nutrition with the first law of thermodynamics, basal metabolic rate (BMR), total daily energy expenditure (TDEE), and body-mass-index (BMI) to establish a relationship between health behavior and weight change. Followed by, we verified the model with simulated data. RESULTS The proposed provable mathematical model showed a strong relationship between health behavior and weight change. We verified the mathematical model with the proposed algorithm using simulated data following the necessary constraints. The adoption of BMR and TDEE calculation following Harris-Benedict’s equation has increased the model's accuracy under defined settings. CONCLUSIONS This study helped us understand the impact of healthy behavior on obesity and overweight with numeric implications and the importance of adopting a healthy lifestyle abstaining from negative behavior change.

scholarly journals POS0291 THE IMPACT OF DRUG INDUCED AND OTHER RHEUMATIC MUSCULOSKELETAL DISORDERS (MD) ON THE QUALITY OF LIFE (QOL) OF CANCER PATIENTS RECEIVED ANTICANCER DRUG TREATMENT

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 371.1-371
Author(s):  
A. Koltakova ◽  
A. Lila ◽  
L. P. Ananyeva ◽  
A. Fedenko
Keyword(s):  
Drug Treatment ◽  
Cancer Patients ◽  
Anticancer Drug ◽  
Physical Functioning ◽  
Role Functioning ◽  
Drug Induced ◽  
Significant Difference ◽  
Eortc Qlq C30 ◽  
Eortc Qlq ◽  
The Impact

Background:Pts with cancer may have MD that can be caused by neoplastic/paraneoplastic disease, rheumatic diseases or be induced by anticancer drug treatment. There is no data about MD influence on the QoL of cancer patients. The EORTC QoL questionnaire (QLQ)-C30 is a valid questionnaire designed to assess different aspects (Global health (GH), Functional (FS) and symptoms (SS) scales) that define the QoL of cancer patients [1].Objectives:The objective of the study was to assess the impact of drug induced and other types of MD on the QoL of cancer patients that received anticancer drug treatment by using of EORTC QLQ-C30 v3.0.Methods:The sampling of 123 pts (M/F – 40/83; mean age 54.4±12.8) with breast (32,5%), gastrointestinal (17%), ovary (8%), lung (7%) and other cancer was observed by rheumatologist in the oncology outpatient clinic. All pts received anticancer drug treatment: chemotherapy (104 pts), target therapy (16 pts) checkpoint-inhibitors (14 pts), hormone therapy (13 pts) in different combinations. 102(82.9%) of 123pts had MD include arthritis (12 pts), synovitis (5 pts), arthralgia (66 pts), periarthritis (34 pts), osteodynia (13 pts). There were 58 pts (group 1; M/F – 14/44; mean age 52.5±12.2) with anticancer drug treatment induced MD and 44 pts (group 2; M/F – 16/27; mean age 57.6±13.5) with other type of MD include 26 pts with skeletal metastasis. The were 21 pts (group 3; M/F – 10/11; mean age 52.9±11.1) without MD. All pts fulfilled EORTC QLQ-C30 v3.0 (tab.1).Table 1.The median [Q1;Q3] of results of GH, SS and SS of EORTC QLQ-C30ScaleSubscaleGroup1Group2Group3GH58.3[50;58]58.3[41.7;83.3]50[50;66.7]FS*Physical functioning73.3[60;86.7]73.3[66.7;86.7]86.7[80;93]Role functioning66.7[66.7;100]83.3[50;100]100[83;100]Emotional functioning83.3[66.7;100]75[66.7;91.7]91.6[83.3;100]Social functioning83.3[66.7;100]83.3[50;100]100[83.3;100]SS*Pain33.3[0;50]16.7[0;33.3]0[0;16.7]*There are only the scores that had got a statistical difference between the groups.Kruskal-Wallis H and post-hoc (Dwass-Steel-Critchlow-Fligner (DSCF) pairwise comparisons) tests for data analysis were performed.Results:A Kruskal-Wallis H test has shown a statistically significant difference in physical (χ2(2)=7.54; p=0.023), role (χ2(2)=9.87; p=0.007), emotion (χ2(2)=7.69; p=0.021) functioning and pain (χ2(2)=8.44; p=0.015) scores between the different groups. A post-hoc test with DSCF pairwise comparisons of median has shown a statistically significant difference between 1 and 3 groups (W=3.904; p=0.016) for physical functioning, between 2 and 3 groups (W=3.35; p=0.004) for role functioning, between 2 and 3 groups (W=4.03; p=0.012) for emotional functioning, between 1 and 3 groups (W=-3.97; p=0.014) for pain scale.Conclusion:The study has shown that MD associated with anticancer drug treatment adversely affected the QoL of cancer patients received anticancer drug treatment by reducing a physical functioning and by increasing pain scores. Presence of other types of MD adversely affect the QoL by reducing emotional and role functioning.References:[1]Aaronson NK,et al.The European Organization for Research and Treatment of Cancer QLQ-C30: a quality-of-life instrument for use in international clinical trials in oncology. J Natl Cancer Inst.1993;85(5):365-376. doi:10.1093/jnci/85.5.365Disclosure of Interests:None declared

scholarly journals 1043. The impact of integrase strand transfer inhibitors (InSTIs) on weight gain among adults with HIV in clinical care

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S551-S551
Author(s):  
Sneha Thatipelli ◽  
Chad Achenbach ◽  
Shannon Galvin
Keyword(s):  
Weight Gain ◽  
Weight Change ◽  
Metabolic Diseases ◽  
Clinical Care ◽  
First Year ◽  
Strand Transfer ◽  
Art Initiation ◽  
Integrase Strand Transfer Inhibitors ◽  
Clinically Significant ◽  
The Impact

Abstract Background Integrase strand transfer inhibitors (InSTIs) as ART for HIV has been associated with clinically significant weight gain, in addition to the “return to health phenomenon”. Methods We conducted a cohort study on adults over 18 with HIV, who had baseline weights and an additional weight at least 6 months later. Individuals with malignancies, thyroid disorders, and disseminated tuberculosis or mycobacterium avium complex were excluded. To understand the impact of InSTIs on chronic vs. recently infected persons, we divided the cohort into four groups: (1) well-controlled on non-InSTI ART [WN] (2) well-controlled on InSTI ART [WI] (3) uncontrolled on non-InSTI ART [UN], and (4) uncontrolled on InSTI ART [UI]. Well-controlled persons (viral load < 2000) were proxies for chronic infection on long-term ART and uncontrolled for recently infected and initiated on ART. New diagnoses of diabetes, hyperlipidemia, and hypertension were determined by ICD10 codes. Participants with a weight change more than 10 kg in 6 months were excluded. Results 612 of the initial 910 participants in the cohort met the inclusion criteria. Comparing those who remained on the designated regimen throughout the study led to 86 WN, 153 WI, 166 UN, and 145 UI. Mean weight change at 6 months for WN was +0.22 kg (95% CI [-0.86, 1.3]), at 1 year was -0.86 kg (95% CI [-2.94, 1.22]), and at 2 years was +0.026 kg (95% CI [-2.347, 2.399]). For WI, mean weight change at 6 months was +0.21 kg (95% CI [-0.79, 1.21]), at 1 year was -0.50 kg (95% CI [-2.02, 1.04]), and at 2 years was +0.43 kg (95% CI [-1.35, 2.21]). UN gained weight until the first year (+1.74 kg at 6 mo (95% CI [0.24, 3.24]) and +3.84 kg at 1 year (95% CI [1.57, 6.11])), but plateaued at 2 years (+2.42 kg (95% CI [-0.44, 5.28])). At 6 months mean weight gain for UI was +0.78 kg (95% CI [-0.15, 1.71]), at 1 year was +2.33 kg (95% CI [1.02, 3.64]), and at 2 years was +3.04 kg (95% CI [1.2, 4.85]). WI had a higher incidence of diabetes (37% vs. 32%, p=0.40), hyperlipidemia (32% vs. 29%, p=0.66), and hypertension (34% vs. 26%, p=0.19) compared to WN. Conclusion InSTIs may confer a larger and more sustained weight gain among individuals in the first two years after ART initiation. Well controlled individuals did not have statistically significant weight change, but those on Insti-based ART had more metabolic diseases. Disclosures All Authors: No reported disclosures

scholarly journals Natural Course of Metabolically Healthy Overweight/Obese Subjects and the Impact of Weight Change

Nutrients ◽  
2016 ◽  
Vol 8 (7) ◽  
pp. 430 ◽  
Author(s):  
Ruizhi Zheng ◽  
Chengguo Liu ◽  
Chunmei Wang ◽  
Biao Zhou ◽  
Yi Liu ◽  
...  
Keyword(s):  
Weight Change ◽  
Natural Course ◽  
Obese Subjects ◽  
Metabolically Healthy ◽  
The Impact

Quality of life during the first 6 months of interferon-b treatment in patients with MS

2000 ◽  
Vol 6 (5) ◽  
pp. 338-342
Author(s):  
J HA Arnoldus ◽  
J Killestein ◽  
L EMA Pfennings ◽  
B Jelles ◽  
B MJ Uitdehaag ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Depressive Symptoms ◽  
Side Effects ◽  
Physical Functioning ◽  
Bodily Pain ◽  
Significant Linear Trend ◽  
Role Physical ◽  
Sf 36 ◽  
The Impact

Objectives: To determine the quality of life (QoL) of MS patients during the initial 6 months of treatment with interferon-b (IFN-b). Furthermore, to determine whether changes in QoL relate to disability, emotional state, therapeutic expectations or side effect profile. Background: IFN-b has been shown to have beneficial effects on the course of MS. Since the aim of IFN-b treatment is not to cure but to slow down the disease it is important to know how this treatment affects QoL. Surprisingly, the impact of treatment with IFN-b on QoL measures has not been extensively studied so far. Methods: Case report documentation, including EDSS, SF-36 and MADRAS scores, of 51 relapsing-remitting MS patients treated with IFN-b was obtained at baseline and at months 1, 3 and 6. Patients also filled in a form about their expectations of therapy and a questionnaire on side effects. Results: During treatment there was a significant linear trend indicating improvement in the role-physical functioning (RPF) scale of the SF-36 (F1,50=4.9, P=0.032). A transient decrease at month 1 was found in the scale for bodily pain, indicating more experienced pain (F1,50=19.8, P50.001). Subgroup analysis showed that patients with most depressive symptoms on the MADRAS at baseline contributed most to the increase in RPF scores over time (F1,24=5,6 P=0.026). Furthermore, we found associations between adverse event scores and several domains of QoL. Conclusions: Our findings suggest that IFN-b therapy has an impact on QoL of MS patients in that it improves role-physical functioning and transiently worsens experienced bodily pain. QoL during treatment with IFN-b is influenced by depressive symptoms at baseline as well as by treatment-associated side-effects.

Functional Mobility, Aging, and People With Mental Illness: Issues and Challenges

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 411-411
Author(s):  
Michelle Zechner ◽  
Ellen Anderson ◽  
Kenneth Gill
Keyword(s):  
Mental Health ◽  
Mental Illness ◽  
Physical Functioning ◽  
Independent Living ◽  
Community Sample ◽  
Functional Decline ◽  
Premature Death ◽  
Functional Mobility ◽  
Health Conditions ◽  
The Impact

Abstract People with serious mental illness (SMI) are more likely to experience chronic health conditions at younger ages, which increases the risk of premature death. Co-morbid health conditions and risk for premature death are well-studied in the population, however less is understood about the impact of aging and SMI on functional ability. Research suggests that the population walk less and may have lower fitness levels than other populations (Gill et al., 2016). Specific data exploring functional age of people with SMI is sparse. The authors compared published standardized geriatric functional fitness values for people over 65 to baseline values of a community sample of people living with SMI who participated in a community health promotion intervention. The average age of the sample was 50 (SD=11). Three physical functioning measures were used in the comparison to measure physical functioning; the Sit to Stand Test, 6 Minute Walk, and Single Legged Stance. Results indicated significant differences in mean physical functioning values between the sample and standardized geriatric values. The sample performed at levels 20-30 years older than their chronological age. This finding suggests that mental health and aging services may need to adjust interventions, services and methods to improve physical functioning in middle-aged and older adults living with SMI. Premature functional decline impacts community living skills, independent living, housing choice, vocational options, and may impede personal goal attainment. Recommendations for interventions will be offered, as will suggestions for policies targeting services that cross aging and mental health silos.

scholarly journals The impact of progestin-only contraception on weight change in the first postpartum year

2018 ◽  
Vol 4 (2) ◽  
Author(s):  
Sara Pentlicky ◽  
Sarah J Ratcliffe ◽  
Courtney A. Schreiber
Keyword(s):  
Weight Change ◽  
The Impact

scholarly journals Impact of Comorbidities on Quality Of Life in Breast Cancer Patients

2016 ◽  
Vol 01 (04) ◽  
pp. 025-028
Author(s):  
Monica Irukulla ◽  
Rama Vaghmare ◽  
Deepa Joseph ◽  
Syed Ahmed ◽  
Jyothi Jonnadula ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Quality Of Life ◽  
Cancer Patients ◽  
Physical Functioning ◽  
Bodily Pain ◽  
Evidence Base ◽  
Breast Cancer Patients ◽  
Co Morbidity ◽  
The Impact

AbstractIntroduction: Comorbidities are common among cancer patients and with an aging population are becoming more prevalent. These can potentially affect the stage at diagnosis, treatment and outcomes of people with cancer. Despite the intimate relationship between comorbidity and cancer, there is limited consensus on how to record, interpret or manage comorbidities in the context of cancer. Addressing the impact of comorbid conditions in cancer patients warrants improvement in the evidence base from which to make treatment decisions for those with comorbidities.Methods: In this prospective study, 64 patients with breast cancer, underwent QOL assessment using FACT –B questionnaire at three time points- pre-radiation and three and six months post radiation.Results: 29(46%) patients had comorbidities of which 23 (35%) had cardiovascular comorbidities and 6 had other comorbidities. The co-morbidities were negatively associated with multiple domains of quality of life, including physical functioning, general health, bodily pain. Patients with diabetes and hypertension had significantly lower scores in physical functioning in comparison to patients without diabetes and hypertension, but improved after treatment. In majority of patients the overall scores were less in patients with co-morbidities compared to patients without any co-morbidity.Conclusion: Comorbidities can significantly affect the quality of life in patients with comorbidities. Hence greater research into the QOL issues for better patient care and symptom management especially during the transitioning phase from active care to follow up will help clinicians improve the quality of care and interdisciplinary co-ordination.

612 Assessing the Impact of Burns on Children Aged 5–18 Years: A Narrative Review of Health Outcomes Literature

2020 ◽  
Vol 41 (Supplement_1) ◽  
pp. S150-S150
Author(s):  
Amelia Austen ◽  
Carina Hou ◽  
Khushbu Patel ◽  
Keri Brady ◽  
Gabrielle G Grant ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Health Outcomes ◽  
Social Functioning ◽  
Physical Functioning ◽  
Psychological Functioning ◽  
Burn Injury ◽  
Health Domains ◽  
The Impact

Abstract Introduction Burn injuries can have major long-term effects on the health and quality of life for children and adolescents. This study narratively reviewed the health outcomes literature focusing on the impact of burn injury for children aged 5–18. Methods Literature targeting pediatric outcomes was reviewed to identify the effects of burns on children aged 5–18 (n=16). Inclusion criteria included studies that focused on the impact of burns on health and quality of life and were age-appropriate for this population. Articles were identified via PubMed, Web of Science, and manual reference checks. Data collected included the outcomes and health domains assessed in each article and the findings of the effects of the burn injury on those specific outcomes. The Preschool LIBRE Conceptual Model served as a ‘domains framework’ to guide the identification of outcomes and health domains. Results Long-term burn-specific outcomes and broad health domains identified were physical functioning (n=9), psychological functioning (n=12), social functioning (n=4), symptoms (n=8), and family (n=7). Some studies exclusively focused on one domain whereas others assessed two domains or more. Subdomains such as upper extremity functioning and functional independence were addressed in the physical functioning domain. Psychological functioning outcomes included subdomains such as emotional health and behavioral problems. Social functioning outcomes evaluated subdomains such as problems with peers and social participation. The symptoms domain addressed post-burn pain and itch. Family outcomes subdomains such as parental satisfaction with appearance and general family functioning were identified. Conclusions Burn-specific outcomes and health domains assessing the effects of burns on children aged 5–18 were identified among 16 studies. There is a need for a comprehensive assessment tool that more precisely measures the impact of burn injury across these domains. This work will inform the development of the School-Aged Life Impact Burn Recovery Evaluation (LIBRE) Computer Adaptive Test (CAT) Profile – a new outcome metric for children and adolescents with burns. Applicability of Research to Practice This review is relevant to researchers and clinicians assessing health outcomes and measuring burn recovery in children aged 5–18.

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