Body mass index and health-related quality of life

Predictive model to identify multiple synergistic effects of geriatric syndromes on quality of life in older adults: a hospital-based pilot study

BACKGROUND

Quality of life (QOL) has been reported to be associated with sociodemographic characteristics and geriatric syndromes in older adults, but the impact of interactions among multiple geriatric syndromes on QOL remains unexplored. We aimed to apply a machine learning method to evaluate the effects of interactions among multiple geriatric syndromes on QOL in older adults.

METHODS

We recruited adults aged ≥ 65 years admitted to a tertiary medical center from June 2018 to September 2018. The main outcome was the three-level five-dimensional Euro-Quality of Life tool (EQ-5D-3 L) utility value. The random forest algorithm was used to identify and rank the strongest predictors of geriatric syndromes. The relation between predictors and outcomes was visualized with accumulated local effects plots and interaction effects. Model performance was evaluated by 5-fold cross-validation with metrics of R-square, the mean square error of estimation and the mean absolute error of estimation.

RESULTS

The study included 160 older adults with a mean age of 79 years. The top ten features that significantly influenced the utility prediction were activities of daily living (ADL), frailty, pain, the number of medications used, age, depression, the Charlson Comorbidity Index (CCI), body mass index (BMI), peptic ulcer, and emotional loneliness. The two-way interactions between ADL, frailty, and pain significantly interacted with other predictors.

CONCLUSION

ADL, frailty, and pain are important factors to be considered when assessing QOL in older adults. It is important for clinicians to consider them together in clinical decision-making.

Body mass index having a mediating role between diet quality & mental and physical health among women

BACKGROUND

Women experience unique dynamics in health and Quality of Life (QoL) due to biological, psychological, and social factors. These dynamics necessitate a comprehensive examination of the indirect effects of Diet Quality (DQ) on Mental and Physical well-being through Body Mass Index (BMI). This study aims to elucidate the indirect pathways through which DQ influences mental and physical well-being, with a particular focus on the mediating role of BMI.

METHODS

This cross-sectional study was conducted with women (n = 985) aged 19-64 years. Anthropometric measurements and 24-Hour Dietary Recall (24HDR) data were collected. QoL was assessed using the Short Form-36 (SF-36), which comprises two primary subdimensions: (1) Mental Well-being, represented by the Mental Component Summary (MCS), and (2) Physical Well-being, represented by the Physical Component Summary (PCS). The Nutrient-Based Diet Quality Index (NBDQ) and Carbohydrate-to-Fibre Ratio (CHO-FBR) were calculated from 24HDR data to evaluate DQ. Two mediation models were employed. Model 1 examined the indirect effects of NBDQ on Mental and Physical well-being through BMI, with age as a confounder. Model 2 assessed the indirect effects of CHO-FBR on Mental and Physical well-being through BMI, also considering age as a confounder.

RESULTS

The mean age of participants was 31.68 ± 11.95 years. No significant differences were found in educational attainment across DQ quartiles (p = 0.228). Younger women (19-24 years) were more prevalent in lower DQ quartiles, while older women (45-64 years) showed higher DQ scores (p = 0.001). Women with spouses had higher DQ (p = 0.007). MCS score improved with a better NBDQ (p = 0.033), although PCS score did not show significant difference ( p = 0.607). Mediation analysis revealed that NBDQ was significantly associated with MCS (β = 0.169, p = 0.004) but not with BMI (β = 0.004, p = 0.568). Aditionally, NBDQ showed a non-significant relationship with PCS (β = -0.022, p = 0.505).

CONCLUSION

Improving DQ can enhance mental well-being (MCS), particularly among older women and those with spouses, while no impact was found on physical well-being (PCS). Since BMI did not mediate these effects and CHO-FBR showed no significant associations, nutritional strategies should prioritize DQ alongside age and social dynamics to effectively enhance women's QoL.

Internalized Shame in Treatment-Seeking Adults with Obesity Class II-III and Its Association with Quality of Life, Body Image, and Self-Esteem

INTRODUCTION

Health-related quality of life (HRQoL) may be impaired in individuals living with obesity, possibly due to exposure to obesity-related stigma which may in turn activate shame. Few studies have been conducted on shame in relation to obesity and its potential association with other constructs such as HRQoL, self-esteem, and body image. In this study, internalized shame and the potential association with HRQoL, self-esteem, and body image were investigated in treatment-seeking patients with obesity class II-III.

METHODS

In total, 228 patients referred for obesity treatment at a tertiary clinic in Sweden participated in the study. The cohort was stratified into two groups using a clinical cutoff (≥50) indicating pathological levels of shame as reported on the Internalized Shame Scale (ISS): a high shame group (HSG) and low shame group (LSG).

RESULTS

The mean ISS score for the overall cohort was 41.6, with a mean of 28.1 for the LSG and 66.5 for the HSG. Compared to the LSG, the HSG reported a lower quality of life in seven of eight HRQoL domains as well as a lower obesity-specific health-related quality of life. Furthermore, a higher shame score was associated with poorer body image and lower self-esteem.

CONCLUSION

Taken together, these findings indicate that a substantial number of patients with obesity report high internalized shame and that these individuals could benefit from extra support in treatment settings.

Preoperative reference values for breast cancer patients using the BREAST-Q

INTRODUCTION

The BREAST-Q can be used to evaluate the health-related quality of life (HRQL) of breast cancer patients. Data interpretation is limited by the lack of previous reference values based solely on patients with a recent breast cancer diagnosis.

METHODS

A total of 627 patients, all with newly diagnosed breast cancer, were asked to participate in the study. The BREAST-Q modules for mastectomy and breast-conserving surgery were used. The results for the scales were reported as mean with standard deviation (SD). The effect of patient characteristics, including age, body mass index (BMI), and ASA-classification on the HRQL were analyzed with multiple linear regression.

RESULTS

In total, 315 patients (50.2 %) participated. The mean (SD) age was 60.3 (10.1) years. Mean scores (SD) were the following: Psychosocial Well-being 70.8 (15.0), Sexual Well-being 58.2 (15.1), Satisfaction with Breasts 59.9 (15.6), and Physical Well-being: Chest 81.7 (15.7). The psychosocial well-being, sexual well-being, and satisfaction with breasts were all similar compared to the normative mean scores of the scales. The physical well-being of the chest was lower than the normative mean value (p < 0.001). Psychosocial well-being (p = 0.007), sexual well-being (p = 0.007), and satisfaction with breasts (p < 0.001) were lower in patients with higher BMI. Younger patients reported lower physical well-being of the chest (p < 0.001).

CONCLUSIONS

This study established preoperative reference values for the BREAST-Q in breast cancer patients. This data can be used to evaluate the HRQL in breast cancer patients accurately.

Longitudinal assessment of health-related quality of life after SARS-CoV-2 infection and the associations with clinical and social characteristics in a general practice population

BACKGROUND

We aimed to investigate the longitudinal impact of COVID-19 and the effects of clinical and psychosocial factors, accounting for post-COVID conditions (PCC), on the mental and physical aspect of health-related quality of life (HRQoL) of patients diagnosed with COVID-19.

METHODS

Data from the Nivel Corona Cohort were used, which includes individuals with an established SARS-CoV-2 infection that received four questionnaires over a year's time with questions regarding HRQoL (SF-12), symptoms and social characteristics. PCC was determined based on questionnaire data. Data on medical history and healthcare utilization were obtained from electronic health records from general practice. A repeated measures linear mixed model was used to explore associations between clinical and social characteristics, and the course of mental and physical HRQoL after a SARS-CoV-2 infection, taking PCC into account.

RESULTS

One hundred fifty-eight individuals of whom it was possible to determine whether they had PCC or not were included in this study. Seventy-six (48.1%) developed PCC, which was associated with a persistent reduction in both physical and mental HRQoL. Hospitalization during the acute phase of the infection had a negative impact on the physical HRQoL, which decreased over time. Females, people older than 53, and those with increased resilience and mental HRQoL before infection were more likely to report a more positive mental HRQoL over time.

CONCLUSION

The negative association PCC has with both mental and physical HRQoL for at least six months, calls for more research to support patients with PCC.

The association between body mass index and health-related quality of life in the 2017 and 2018 health survey of England data: A cross-sectional observational analysis

AIM

To provide an updated estimate of the association between body mass index (BMI) and health-related quality of life (HRQoL) among the general population in England and to identify population subgroups with the highest potential utility gains from obesity interventions.

MATERIALS AND METHODS

The sample included 12 158 adults with valid HRQoL and BMI data from the 2017 and 2018 Health Survey for England. Robust standard error linear regression, controlling for demographic and socioeconomic characteristics, lifestyle behaviours and obesity-related comorbidities, was used for the baseline analysis. Robustness checks assessed the impact of (a) estimator selection; (b) model specifications; (c) statistical outliers at high BMI; (d) potential BMI measurement error; and (e) data pooling.

RESULTS

The study found a significant association between HRQoL and BMI, which exhibited an inverted U-shaped relationship. The mean HRQoL peaked at 25.7 kg/m2 in men and 22.6 kg/m2 in women and was reduced in the underweight, overweight and obesity BMI ranges. Sensitivity analyses reported similar coefficients, suggesting a robust model specification.

CONCLUSIONS

Reduced HRQoL beyond optimal BMI underlines the importance of maintaining a normal BMI range for overall health. The rising prevalence of class III obesity is a major public health concern given its disproportionate impact on health, health care utilization and costs. Obesity management is key to preventing the reduction in HRQoL associated with obesity-related comorbidities, and this analysis supports the development of targeted policies and population health initiatives for people with class III obesity.

The association between BMI and self-reported health among a Brazilian sample: a cross-sectional study

OBJECTIVE

To examine the association between Body Mass Index (BMI) and self-rated health status among a representative sample of the Brazilian population.

METHODS

This study consists of a secondary analysis of the existing 2019 Brazilian National Health Survey (PNS). Logistic regression models were then used to examine the association between self-reported health status and BMI, while controlling for obesity-related medical conditions and socio-demographic characteristics.

RESULTS

The representative sample included 34,021 men and 34,430 women, comprising a total sample of 68,451. Men living with obesity (BMI ≥ 30 kg/m2) had, on average, a lower self-reported health status score (OR = 0.69, p < 0.01) compared to men within a healthy weight BMI range (18.5-25 kg/m2). Women living with obesity had, on average, a lower self-reported health status score (OR = 0.56, p < 0.01) compared to women within a healthy weight BMI range (18.5-25 kg/m2). There was also a statistically significant negative association (p < 0.01) between our obesity-related medical conditions and self-reported health for men and women. We also find some evidence of a non-linear association between BMI and health status for men.

CONCLUSIONS

The findings indicate that there is a statistically significant negative association between BMI and self-reported health for Brazilian men and women living with obesity. These findings reinforce the importance of addressing this growing public health challenge and the value of preventive measures and effective public health programs that focus on improving overall health and quality of life for individuals living with obesity.

The Impact of Obesity on the Health of the Older Population: A Cross-Sectional Study on the Relationship between Health-Related Quality of Life and Body Mass Index across Different Age Groups

Obesity is strongly associated with mortality and morbidity, but there is a lack of data on its impact on health-related quality of life (HRQoL) across different age groups. Therefore, this study's objective was to determine the association between body mass index (BMI) and HRQoL in the Austrian adult population based on age groups using the 36-Item Short Form (SF-36) survey.

METHODS

The SF-36 survey was sent to 500 randomly assigned Austrian adults (response rate: 80.6%). This study assessed HRQoL subscale and component scores based on gender, level of education, smoking status, and alcohol consumption in 403 participants.

RESULTS

Increasing BMI is associated with a negative impact on all domains of physical health and social function. The study uncovered substantial variations in the impact of increasing BMI on HRQoL across different age groups, with a pronounced effect observed in the physical components, particularly among individuals aged 65-74.

CONCLUSIONS

BMI is negatively associated with the physical aspects of HRQoL and social function, affecting various adult age groups differently. Consequently, our results emphasize assessing different age groups and possible influencing factors on HRQoL, such as BMI, for further optimization in designing prevention programs against obesity.

The diagnostic likelihood ratio function and modified test for trend: Identifying, evaluating, and validating nontraditional biomarkers in case-control studies

The ROC curve and its associated summary statistic, the AUC, are used to identify informative diagnostic biomarkers under the assumption that risk of disease is a monotone function of the biomarker. We refer to biomarkers that meet this assumption as traditional, and those that do not as nontraditional. Nontraditional biomarkers most often arise when both low and high biomarker values are associated with an outcome of interest, such as blood pressure with medical complications or leukocyte count with ICU prognosis. Since nontraditional biomarkers do not meet the assumptions for ROC-based analyses, we propose using the discrete diagnostic likelihood ratio (DLR) function to evaluate a wider class of informative biomarkers. We obtain the DLR function using the multinomial logistic regression (MLR) model to improve upon existing estimation techniques, and implement a likelihood ratio test to identify candidate informative traditional and nontraditional biomarkers. We propose a modification of the Cochran-Armitage test for trend that separates biomarkers deemed informative into traditional and nontraditional categories. The statistical properties of the likelihood ratio test and modified test for trend are explored under simulation. Together, these methods achieve the identification, evaluation, and validation of biomarkers from early discovery research. Finally, we show that incorporating covariates into the MLR model results in a covariate-adjusted DLR function that is useful for integrating multiple sources of information in clinical decision making. The methods are applied to gene expression data from subjects with high grade serous ovarian cancer, where stage, early stage vs late stage, is the outcome of interest.

Association of pain and clinical factors on disability and quality of life in systemic sclerosis: A cross-sectional study from Turkish League Against Rheumatism Network

Objectives

In this study, we aimed to evaluate the factors associated with disability and quality of life (QoL) in Turkish patients with systemic sclerosis (SSc).

Patients and methods

Between January 2018 and January 2019, a total of 256 SSc patients (20 males, 236 females; mean age: 50.9±12.4 years; range, 19 to 87 years) who were diagnosed with SSc were included in the study. Disability and health-related QoL (HRQoL) were evaluated by the Health Assessment Questionnaire (HAQ), scleroderma HAQ (SHAQ), Duruöz Hand Index (DHI), and Short Form-36 (SF-36). Linear regression analysis methods were used to describe factors associated with disability and QoL of the patients.

Results

All disability scores were higher and HRQoL scores were lower in diffuse cutaneous SSc patients compared limited cutaneous SSc, and differentiations were significant (p=0.001 and p=0.007). In multiple regression, pain (VAS) was the strongest predictor for high disability and low QoL scores (p<0.001) as HAQ (β=0.397, 0.386, 0.452), SHAQ (β=0.397, 0.448, 0.372), DHI (β=0.446, 0.536, 0.389), PCS (β=-0.417,-0.499, -0.408) and MCS (β=-0.478, -0.441, -0.370) in combined, lcSSc and dcSSc patients respectively. The factors associated with high disability and low QoL scores were forced vital capacity for HAQ (β=-0.172, p=0.002) and SF-36 PCS (β=0.187, p=0.001); disease duration for HAQ (β=0.208, p<0.001), DHI (β=0.147, p=0.006), and SF-36 PCS (β=-0.134, p=0.014); 6-minute walk test for HAQ (β=-0.161, p=0.005) and SF-36 PCS (β=0.153, p=0.009); and modified Rodnan skin score for SHAQ (β=0.250, p<0.001) and DHI (β=0.233, p<0.001) in SSc patients. Diffusing capacity of the lungs for carbon monoxide for HAQ (β=-0.189, p=0.010) and SHAQ (β=-0.247, p=0.002); erythrocyte sedimentation rate for DHI (β=0.322, p<0.001); age for SF-36 PCS (β=-0.221, p=0.003) and body mass index for SF-36 PCS (β=-0.200, p=0.008) and MCS (β=-0.175, p=0.034) were the other variables associated with high disability or low QoL scores in SSc subsets.

Conclusion

Clinicians should consider the management of the pain and its sources as a key to improve better functional state and quality of daily life in SSc.

Health-related Quality of Life and Determinants of the Mental Dimension Among Tunisian Nurses in Public Hospitals

BACKGROUND

The health-related quality of life (HR-QoL) has been in-creasingly investigated in health sciences. The Objectives of this study are to evaluate the HR-QoL among nurses in Tunisian public hospitals and to identify the determinants of its mental dimension.

METHODS

A cross-sectional, bi-centric study was conducted within a representative sample of the 1,179 nurses assigned to 28 departments of two Tunisian public hospitals. A structured inquiry (socio-professional characteristics, occupational perceived workload) and validated questionnaires (SF12, Job Content Questionnaire of Karasek, Work Ability Index) have been completed.

RESULTS

Response rate was equal to 97.34%. The mean age of nurses was 42.60 ± 21 years. Nearly half of caregivers (49.07%) had a poor mental quality of life. The multivariate analysis concluded that mental HR-QoL was correlated with the female gender (0.010), obesity and the non-practice of regular physical activity (0.027), musculoskeletal diseases (<10-3), the low ability to work (<10-3). This deterioration of the mental HR-QoL dimension was also associated with the job tenure (0.002), the perceived workload (0.015), and conflictual relationships with colleagues (0.006) the feeling of insecurity at work (0.034), and the intention to leave the profession early (0.007) Conclusion: The results of this study showed that a considerable number of nurses had a poor mental quality of life. This study also identified factors associated with this deterioration. Acting on these determining factors may improve the well-being and global health of nurses, as well as their work performance and quality of care provided.

Post-discharge quality of life of COVID-19 patients at 1-month follow-up: A cross-sectional study in the largest tertiary care hospital of Bangladesh

There is increasing evidence of the post-COVID-19 suffering and decreased quality of life in the COVID-19 patients. This study aimed to assess the quality of life and associated factors of COVID-19 patients at one month after discharge from the hospital. This was a cross-sectional study that was conducted at the post-covid clinic of Dhaka Medical College Hospital (DMCH) where RT-PCR-confirmed adult COVID-19 recovered patients were enrolled one month after discharge from the same hospital. They were consecutively selected from January 01 to May 30. A pretested semi-structured questionnaire was used for the data collection for clinical variables. The generic multi-attributable utility instrument EQ-5D-5L was used for assessing health-related quality of life (HRQoL). A total of 563 patients were enrolled in the study. The patients had a mean age with standard deviation (±SD) of 51.18 (±13.49) years and 55.95% were male. The mean (SD) EQ-5D-5L index score and EQ-VAS scores were 0.78 (±0.19) and 70.26 (±11.13), respectively. Overall, 45.77%, 50.99%, 52.79%, 55.14% and 62.16% had problems (slight to extreme) in the mobility, self-care, usual activities, pain/discomfort and anxiety/depression dimensions, respectively. Patients aged ≥60 years had significant problem in mobility (odds ratio [OR] 3.24, 95% confidence interval [CI]: 1.07-9.77). Female participants were 5.50 times (95% CI: 2.22-13.62) more likely to have problems in their usual activities. In comparison to urban area, living in a peri-urban setting was significantly associated with problems in mobility (OR 1.89, 95% CI: 1.13-3.20), pain/discomfort (OR 1.82, 95% CI: 1.04-3.12) and anxiety/depression (OR 2.16, 95% CI: 1.22-3.84). Comorbid patients were 1.75 times (95% CI: 1.07-2.85) more likely to report problems in the pain/discomfort dimension. Presence of symptom(s) was associated with problems in self-care (OR 3.27, 95%CI: 1.31-8.18), usual-activity (OR 3.08, 95%CI: 1.21-7.87), pain/discomfort dimensions (OR 2.75, 95%CI: 1.09-6.96) and anxiety/depression (OR 3.35, 95%CI: 1.35-8.30). Specific management strategies should be planned to address the factors associated with low health-related quality of life in post-acute care of COVID-19 patients.

Associations between health-related quality of life and measures of adiposity among Filipino adults

OBJECTIVE

Estimate associations between the health-related quality of life (HRQoL) and adiposity in a low-income population.

METHODS

In a cluster random sample of 3796 Filipinos aged 40-70 years in Nueva Ecija province, we measured body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and six dimensions of HRQoL using the 20-item Short Form Health Survey. We stratified by sex and used nonparametric regression to graph mean HRQoL in each dimension by BMI, WC, and WHR. We used ordinary least squares regression to estimate differences in each HRQoL dimension by categories of BMI, WC, and WHR adjusted for sociodemographic characteristics and smoking.

RESULTS

Mean HRQoL was lowest for health perception (Males: 67.5 (SD = 15.9); Females: 66.7 (15.8)) and highest for role functioning (Males: 97.5 (12.9); Females: 97.4 (13.3)). Mean (SD) values of BMI, WC, and WHR were 22.1 (3.6), 84.8 cm (9.5), and 0.9 (0.1), respectively for males, and 23.7 (4.2), 86.5 cm (10.2), and 0.9 (0.1), respectively, for females. There was no evidence that higher BMI was associated with lower HRQoL. Adjusted mean social functioning was 4.92 (p = 0.076) higher for males with high BMI risk (8.6% prevalence) compared with acceptable BMI risk (50.3%). Mean social functioning was 3.61 (p = 0.012) and 5.48 (p = 0.017) lower for females with high WC (44.7%) and WHR (83.1%), respectively, compared with those with low WC (23.8%) and WHR (3.6%). Mean physical functioning was lower by 2.70 (p = 0.204) and 1.07 (p = 0.198) for males and females, respectively, with high compared with low WC. Mean physical functioning was 3.93 (p = 0.037) lower for males with high (7.6%) compared with low (38.8%) WHR. Mean role functioning was 1.09 (p = 0.124) and 2.46 (p = 0.158) lower for males with borderline and high WHR, respectively.

CONCLUSIONS

There is discordance between future adiposity-related health risk and current experience of HRQoL.

Metabolic Phenotypes—The Game Changer in Quality of Life of Obese Patients?

Background: The present study aimed to investigate the association of obesity phenotypes and quality of life (QoL) scales and their relationship with fat mass (FM) parameters. Methods: This study categorized 104 subjects into 4 obesity phenotypes based on BMI and metabolic syndrome status: metabolically healthy obese (MHO), metabolically unhealthy obese (MUO), metabolically healthy non-obese (MHNO), and metabolically unhealthy non-obese (MUNO). Body composition was measured by dual-energy X-ray absorptiometry (DEXA) and metabolic profile was characterized by blood samples. All subjects completed the SF-36 item Short Form Health Survey Questionnaire. Results: Comparing the four obesity phenotypes, significant results were reported for Bodily Pain between MHNO/MUNO (p = 0.034), for Vitality between MHO/MUO (p = 0.024), and for Mental Component Score between MHO/MUO (p = 0.026) and MUO/MUNO (p = 0.003). A more thorough inside-groups analysis yielded a positive and moderate to high correlation between FM parameters and QoL scales in MHO and MHNO, while a negative and weak to moderate correlation was observed in MUO and MUNO. Conclusion: This study reported an inverse U-shaped relationship between FM and QoL in obesity phenotypes, suggesting that metabolic status is a key factor involved in modulating QoL and therefore challenging the idea of obesity as a main driver of low QoL. We recommend the inclusion of FM percentage in the definition of obesity phenotypes in future research, to better evaluate QoL of obesity phenotypes.

Physical activity and health-related quality of life among high-risk women for type 2 diabetes in the early years after pregnancy

Background

Previous studies have shown that physical activity (PA) correlates positively with health-related quality of life (HRQoL) in the general population. Few studies have investigated associations between device-measured PA and HRQoL among premenopausal women at risk for type 2 diabetes (T2D). In addition to physical well-being, general well-being improved by PA has been suggested to strengthen PA’s benefits in reducing metabolic diseases. The aim of this study was to examine the associations between PA and HRQoL (general and dimensions) among high-risk women in the early post-pregnancy years when T2D risk is highest and to estimate whether current obesity or prior gestational diabetes (GDM) modified these associations.

Methods

This cross-sectional study of high-risk women [body mass index (BMI) ≥ 30 kg/m² and/or prior GDM)]4–6 years after delivery measured sleep, sedentary time, daily steps, and light (LPA), moderate-to-vigorous (MVPA), and vigorous PA (VPA) with the SenseWear ArmbandTM accelerometer for seven days and HRQoL with the 15D instrument.

Results

The analyses included 204 women with a median (IQR) age of 39 (6.0) years and a median BMI of 31.1 kg/m² (10.9). 54% were currently obese (BMI ≥ 30 kg/m²), and 70% had prior gestational diabetes (GDM+). Women with obesity had lower PA levels than women with normal weight or overweight (p < 0.001) but there was no difference between the GDM+ or GDM− women. Women with both current obesity and GDM+ had highest sedentary time and lowest PA levels. The whole sample’s median 15D score was 0.934 (IQR 0.092), lower among women with obesity compared to the others (p < 0.001), but not different between GDM+ or GDM−. There was a positive correlation between VPA (adjusted r_s = 0.262 p = 0.001) and the 15D score. After grouping according to BMI (< and ≥ 30 kg/m²), the associations remained significant only in women without obesity. Among them, sleep, total steps, MVPA, and VPA were positively associated with 15D.

Conclusions

Higher PA levels are associated with better HRQoL among high-risk women with normal weight and overweight but no differences were found among women affected by obesity in the early years after pregnancy.

Trial registration Ethics committees of Helsinki University Hospital (Dnro 300/e9/06) and South Karelian Central Hospital (Dnro 06/08).

Cardiometabolic Health Status, Ethnicity and Health-Related Quality of Life (HRQoL) Disparities in an Adult Population: NutrIMDEA Observational Web-Based Study

Precision public health supported on online tools is increasingly emerging as a potential strategy to achieve health promotion and disease prevention. Our aim was to assess the relationships of sociodemographic variables, anthropometric data, dietary habits and lifestyle factors with health-related quality of life (HRQoL), cardiometabolic health status and ethnicity in an online recruited adult population (NutrIMDEA Study). NutrIMDEA Study is a web-based cross-sectional survey that included 17,333 adults. Self-reported sociodemographic characteristics, anthropometric data, clinical and family history of cardiometabolic illnesses, dietary habits, lifestyle factors and HRQoL features were collected. Diseased individuals showed significative poorer MedDiet and worse HRQoL than those in the healthy cardiometabolic status group (p < 0.05). In comparison, European/Caucasian individuals reported a significantly better HRQoL, higher MedDiet and HRQoL values compared with those of other ethnicities (p < 0.05). We obtained a total of 16.8% who reported poor/fair, 56.5% good and 26.6% very good/excellent HRQoL. Respondents with very good/excellent HRQoL showed lower BMI, greater adherence to a Mediterranean diet (MedDiet) and higher physical activity. The results suggest the presence of interactions between the mental and physical components of HRQoL with obesity, sedentarism and dietary intake, which were dependent on disease status and ethnicity. Online HRQoL assessment could contribute to wider implementation of precision public health strategies to promote health targeted interventions with policy implications to community health promotion.

Health-related Quality of Life Increases After First-time Acute Myocardial Infarction: a Population-based Study

INTRODUCTION

Acute myocardial infarction (AMI) affects patients' health-related quality of life (HRQOL). AMI may decrease HRQOL, thus negatively affecting QOL. However, the improvements in interventional treatment and early rehabilitation after AMI may have a positive effect on HRQOL.

AIM

We evaluated HRQOL in patients after the first AMI treated in a reference cardiology centre in Poland and assessed which clinical variables affect HRQOL after AMI.

MATERIAL AND METHODS

We prospectively evaluated HRQOL in 60 consecutive patients suffering after their first AMI during the index hospitalisation and again after 6 months, using: (i) MacNew, (ii) World Health Organization Quality of Life (WHOQOL) BREF, and (iii) Short Form (SF) 36.

RESULTS

As measured by the MacNew questionnaire, global, social, and physical functioning did not change (p≥0.063), whereas emotional functioning improved 6 months after AMI, compared to index hospitalisation (p=0.002). As measured by WHOQOL BREF, physical health, psychological health, and environmental functioning did not change (p≥0.321), whereas social relationships improved 6 months after AMI (p=0.042). As assessed by SF-36, the global HRQOL improved after AMI (p=0.044). Patients with improved HRQOL in SF-36 often had a higher baseline body mass index (p=0.046), dyslipidaemia (p=0.046), and lower left ventricle ejection fraction (LVEF; p=0.013). LVEF<50% was the only variable associated with improved HRQOL in multivariate analysis (OR 4.463, 95% CI 1.045 - 19.059, p=0.043).

CONCLUSIONS

HRQOL increased 6 months after the first AMI, especially in terms of emotional functioning and social relationships. Patients with LVEF<50% were likely to have improved HRQOL.

Factors Associated with Health-Related Quality of Life amongst Employees in a Malaysian Public University

The current academic landscape has overwhelmed faculties and with demands to adopt tech-savvy teaching modes and accelerate scholarly works, administrative duties, and outreach programs. Such demands have deteriorated the health-related quality of life (HRQoL) among university employees. This study aimed to determine the factors associated with HRQoL among university employees in a Malaysian public university. This cross-sectional study was conducted among 397 employees from the Universiti Kebangsaan Malaysia (UKM) between April and June 2019. A self-administered questionnaire that consisted of socio-demographic items, risky health behaviors, health-related information, and validated scales for measuring employees’ physical inactivity, psychological states, and HRQoL was utilized. Descriptive and inferential statistics were calculated using SPSS version 23.0. Hierarchical multiple linear regression models were yielded to determine the factors associated with different domains of HRQoL. Mediation analysis was conducted using PROCESS MACRO (Model 4). Statistical significance was set to p < 0.05. Physical HRQoL scored the highest, while environmental HRQoL had the lowest score among the employees. Physical HRQoL was influenced by age, service duration, comorbid conditions, BMI, chronic diseases, and anxiety. Factors associated with psychological HRQoL were age, service duration, depression, and stress. Age, service duration, and chronic diseases affected employees’ social relationship HRQoL, while environmental HRQoL was associated with age, occupation type, chronic diseases, and depression. Socio-demographics, risky health behaviors, health profiles, and psychological attributes were significantly associated with employees’ HRQoL. Age was the only positively correlated factor across all HRQoL domains, while other factors deteriorated employees’ HRQoL.

Effect of BMI on the clinical outcome following microsurgical decompression in over-the-top technique: bi-centric study with an analysis of 744 patients

PURPOSE

Decompression is one of the most common interventions in spinal surgery. Obesity has become an increasing issue in surgical patients. Therefore, the aim of this study was to analyze the clinical outcome following lumbar microsurgical decompression in correlation with the patient's body mass index (BMI).

MATERIALS AND METHODS

A toal of 744 patients with spinal claudication that were seen at two specialized spine centers were included in this study. All patients underwent a bilateral microsurgical decompression in over-the-top technique. Patients were allocated in 4 groups based in their BMI category: 18.5-24.9 (n = 204), 25.0-29.9 (n = 318), 30.0-34.9 (n = 164) and ≥ 35 (n = 58). Clinical outcome data were recorded at baseline as well as 3, 12 and 24 months thereafter within a prospective study framework. The minimum follow-up was 12 months. For statistical analysis, data were adjusted for age, length of surgery and ASA and were analyzed by generalized linear gamma-based models.

RESULTS

Postoperative changes in all outcome parameters were clearly dependent on BMI. Patients with higher BMI were characterized by inferior baseline values for VAS Back (p < 0.05). Over the follow-up period, the groups with BMI 30-34.9 and BMI ≥ 35 benefitted significantly less from the surgery than the two slimmer groups (p < 0.05).

CONCLUSION

The data obtained from this large, homogenous cohort demonstrate that the quality of life improved substantially in all patients that were treated microsurgically for spinal stenosis. However, a BMI ≥ 30 may be considered as a negative predictor for a significantly inferior clinical outcome.

Racial differences in lifestyle, demographic, and health factors associated with quality of life (QoL) in midlife women

Previously, quality of life (Qol) has been defined as an individual's evaluation of a satisfactory life as a whole (i.e. physically, mentally, psychologically, and socially). Only a few studies have examined the racial differences between QoL and risk factors associated with health, demographics, and lifestyle in midlife women. Thus, the purpose of our study was to determine racial differences in QoL in menopausal women due to lifestyle, demographic, and health related risk factors. A stratified ordinal logistic regression model was applied to self-reported questionnaire data from the Midlife Women's Health Study (MWHS) to determine risk factors associated with QoL differences between White and Black women during the menopausal transition. In multivariable models, our results showed Black women who had 3 or 4 comorbidities were about 4 times as likely to have higher QoL compared to women who had 0 to 2 comorbidities (95% CI: 1.65,10.78). However, the number of comorbidities was not significantly associated with QoL in White women in univariate or multiple regression. Further, body mass index and income were not significant factors in QoL in Black women but were in White women. Overall, our results illustrate that differences in health, demographic, and lifestyle factors are associated with QoL during menopause. Also, we suggest that future studies evaluate stratified models between racial groups to determine race-specific risk factors related to quality of life.

Overweight in midlife and risk of cancer in late life: A nationwide Swedish twin study

Our study examined whether midlife overweight (body mass index [BMI] ≥25) is associated with late-life cancer risk and explored the role of genetic and early-life environmental factors in this association. The study included 14,766 individuals from the Swedish Twin Registry, whose midlife (30-50 years) height and weight were recorded. Information on cancer diagnoses in late life (>65 years) was derived from the National Patient Registry and Cancer Registry. Generalized estimating equation (GEE) models were used to analyze unmatched case-control data (controlled for the clustering of twins within a pair). A co-twin matched case-control analysis used conditional logistic regression to compare cancer-discordant twins. Of all participants, 3968 (26.9%) were overweight and 4253 (28.8%) had cancer. In multi-adjusted GEE models using normal-weight (BMI 18.5-24.9) participants as the reference group, overweight was related to higher risk of colon cancer (OR 1.36, 95% CI: 1.00-1.84, p = 0.049), liver cancer (OR 2.00, 95% CI: 1.11-3.62), cervix uteri cancer (OR 2.86, 95% CI: 1.19-6.91) and corpus uteri cancer (OR 1.78, 95% CI: 1.14-2.78) but lower risk of nonmelanoma skin cancer (OR 0.77, 95% CI: 0.66-0.90). In conditional logistic regression analysis, these associations were attenuated becoming nonsignificance. The difference in ORs from the unmatched and matched analyses was not significant. In conclusion, midlife overweight is associated with increased risk of late-life colon, liver and uterine cancer but reduced risk of late-life nonmelanoma skin cancer. Further investigations are warranted to explore the role of genetic and early-life environmental factors in these associations.