The application of the network approach to quality of life and blood markers in Brazil

Objective: To explore the effects of precollege peer bullying at different stages, on quality of life (QOL) among college students. Methods: A stratified cluster sampling method was used to select participants in October, 2018. Cluster sampling method was adopted to recruit a sample of 4 034 college students from four universities in Hefei city, Anhui province. Relations between peer bullying at different stages before entering college, and the quality of life, were investigated. t test and analysis of variance were used to compare the differences of QOL in different groups. Multiple linear regression models were used to assess the associations between various types of peer bullying at different stages and the QOL at precollege days. Results: Among all the 4 034 college students under study, mean scores of the 4 dimensions of QOL appeared as physical (12.61±2.02), psychological (14.09±2.62), social relationship (13.72±2.71) and environment (13.77±2.46), respectively. After adjusting the confounding factors, data from multiple linear regression showed that, factors as verbal bullying victimization during primary school (β=-0.21)/secondary school (β=-0.27)/or at both periods (β=-0.56), relational (β=-0.21) and physical (β=-0.38) bullying victimization in secondary school, and physical bullying victimization in both periods (β=-0.67) were negatively correlated with the physical dimension of QOL. Verbal bullying victimization in both periods (β=-0.41) and relational bullying victimization in secondary school (β=-0.42) were negatively correlated with psychological dimension of QOL. Factors as relational (β=-0.32) and physical (β=-0.51) bullying victimization in secondary school, physical/cyber bullying victimization in both periods (β=-0.57) were negatively correlated with the social dimension of QOL. Verbal bullying victimization during primary school (β=-0.20) and both periods (β=-0.46), relational bullying perpetration during primary school (β=-0.35) or at both periods (β=-0.90) were negatively correlated with the environmental dimension of QOL (All P<0.05). Index related to bullying victimization (β=-0.33, -0.36, -0.30, -0.33) and bullying perpetration β=-0.28, -0.31, -0.23, -0.28) were both negatively correlated to all the 4 dimensions (physical, psychological, social relationship and environment) of QOL (P<0.001). Conclusions: Various forms of peer bullying experiences occurring before college, were associated with the decreased scores of QOL in different domains, among the university students. Programs on prevention and control of peer bullying in different stages before college days seemed important thus should be strengthened.

This study aimed to examine the correlation between quality of life (QOL) in cancer patients and that of their spouse caregivers and to identify factors that influence this correlation. This cross-sectional study collected data from 121 cancer patient/spouse caregiver dyads. The Functional Assessment of Cancer Therapy Scale-General (FACT-G) was used to measure patients' QOL, and the Caregiver Quality of Life Index (CQLI) was used to measure spouse caregivers' QOL. Correlation coefficients between patients' and caregivers' QOL were computed for four dimensions of QOL, as well as a total score for QOL. Correlations between patients' and caregivers' total QOL scores were furthered analyzed by three groups of factors: disease-/treatment-related, caregiving-related, and relationship-related variables. Only the social/family and functional dimensions of patient QOL and total score for patient QOL were associated with each dimension of their caregivers' QOL and with the total score ( r=0.27-0.44). Physical and emotional dimensions of patients' QOL did not significantly influence spouse caregivers' QOL for any dimension nor for the total score. Factors influencing the association between patients' and caregivers' overall QOL included cancer diagnosis, length of hospitalization, caregiving intensity and duration, marital satisfaction, and caregiving self-esteem. Social and functional aspects of patients' QOL play a significant role in determining the QOL of their spouse caregivers. The strength of association between patients' and spouse caregivers' overall QOL can be moderated by some factors.

Quality of life (QOL) is gaining interest from a variety of disciplines and important tool for policy evaluation, rating of cities, urban planning and management. Cities are the center of economy, politics, commerce and other activities, so very necessary to analyze the conditions that contribute to the quality of urban life. This study identifies the factors that affect QOL of the people in the region. 809 household heads were selected based on stratified random sampling method. Different statistical methods have been used to analyze the primary data. Factor analysis is used to reduce the number of dimensions of both subjective and objective quality of life into few, which are unrelated to each other. Binary logistic regressions and ordinal logistic regressions are also applied to identify the most significant factors that can affect quality of life in the region. The principal component analysis revealed that 6 dimensions of QOL were extracted from 20 subjective attributes; namely; housing, economic, environmental, neighborhood safety and security, social connectedness and quality of public service. Binary logistic regression model shows all of the dimensions are significantly related to QOL. Factor analysis extract 6 factors using 15 objective attributes, namely; socio-economic, access to public service, access to education, housing, religion and length of residency are found to significant predictor of QOL in objective dimensions of the region. Religion and length of residence have positive impact and other have negative contribution to QOL. Results of this study can be used in designing future urban QOL studies in the region.

This paper has the purpose of assessing quality of life of migrants of Chennai city using 14 variables measured with Likert-type of scaling in a factor analysis.As many as 305 randomly chosen migrant-respondents from across the city have been interviewed using a custom-designed, structured questionnaire in 2012.The analysis has yielded two very neat and significant factor dimensions, labeled as 'Quality of Life Dimension' and 'Well-being in Life and Work Dimension'.The two factors, retained in the analysis using the eigenvalue criterion, explain a cumulative variance of 49.434 per cent.The rotated factor scores have shown that 47.4 per cent of the migrants of Chennai are on the better side of quality of life whereas 45.6 per cent of them are on the higher side of well-being in their life and work.In their revealed perceptions of quality of life and well-being in life and work, there is yet much to be accomplished and there are challenges in city life they could face up to.

The study aimed to inspect the quality of life (QOL) and its relation with cognitive flexibility among higher education students according to gender, accumulative average, and academic year. The study sample consisted of (325) students enrolled in Al-Balqa’a Applied university. Two scales are used to achieve study purposes, QOL scale and cognitive flexibility scale. The study outcomes indicated that there are statistically significant differences in QOL (quality of health and time management) among students due to the gender in favor to male students, there are no statistically significant differences in QOL (quality of social and family life, education and learning, emotional life, and mental health) among students due to gender, and there are statistically significant differences in QOL (quality of health, education and learning, emotional life, mental health, and time management) among students due to accumulative average. Furthermore, the results found that there is a positive statistically significant relationship between QOL (overall scale) and cognitive flexibility (overall scale), there is a positive statistically significant relationship between adaptive cognitive flexibility and QOL (quality of health, social and family life, education and learning, emotional life, mental health, and time management), and there is a statistically significant relationship between spontaneous cognitive flexibility and dimensions of QOL (quality of health, education and learning, mental health, and time management), while there is not a statistically significant relationship between spontaneous cognitive flexibility and dimensions of QOL (social and family life and emotional life).

Studies and discussion in measuring the quality of life (QoL) has been at the centre stage ever since people realize its importance for the wellness of mankind. It is even more important when the concept is associated with sustainable development goal (SDG). Some studies relate QoL with physical health, psychological health, social relationship and environment. Others associate it with authentic happiness that refers to the criteria of pleasant life, a good life, a meaningful life and balanced life. Nevertheless, what can be considered as a holistic QoL? Can it be confined to the material and physical wellness of the people? Could there be any different perspective in looking at the concept in a holistic view? This study would attempt to answer the above questions by deliberating the dimensions of QoL enshrined by the maqasid al-shariah (the objectives of shariah). External Desk Study is employed in getting the required information and data relating to the definition and measurement of QoL. Relevant literatures in the area are reviewed and analysed in coming up with the new dimensions of holistic QoL. In analyzing the data, deductive approach is used to come up with the list of indicators for every dimension of maqasid-based QoL. Finding of this study is expected to shed light in looking into a much broader dimension of QoL.

The negative association of quality of life (QoL) and negative life evens (NLEs) among adolescents has been proved by cross-sectional studies, without exploring sex differences. This study aimed to explore the longitudinal associations between QoL and NLEs among adolescents during novel coronavirus disease 2019 (COVID-19) pandemic and whether there are sex or age differences. A stratified cluster sampling was used to select 1421 students in primary school and middle school in Chongqing, China. From November 2020 (T0) to December 2021 (T2), the Adolescent Self-Rating Life Events Checklist and the Adolescent Quality of Life Scale were used to collect 3 waves of data. The correlations between study variables were conducted by the Pearson correlation analyses. The direction and strength of the longitudinal associations were analyzed using cross-lagged panel analyses. Results showed significant changes in both variables during COVID-19 pandemic (P < 0.001). Cross-sectional analyses showed stable negative correlations between NLEs and QoL stratified by sex or by age (P < 0.001). Sex and age differences in longitudinal relationships were shown by cross-lagged panel analyses. For males, NLEs had a short-term bi-directional association with QoL [βA-D = -(0.091-0.340), P < 0.05]; for females, QoL had a short-term correlation with NLEs [βA = -0.119), βC = -0.109), P < 0.001]. In the youngest age group, NLEs had a short-term bi-directional correlation with QoL [βA-D = -(0.098-0.428), P < 0.05]. There was a short-term association between total QoL and NLEs among students except the 14∼15 year group [βA = -(0.071-0.149), βC = -(0.086-0.119), P < 0.05], the long-term association between total QoL and NLEs was only significant in adolescents aged 14∼15 years (βE = -0.132, P < 0.05). The strength of NLEs was slightly higher than that of total QoL, but lower than that of QoL in each dimension. There were negative longitudinal relationships between NLEs and QoL during COVID-19 pandemic, and the strength of the associations varied across sex or age. Strengthening QoL in different dimensions may be a promising way to reduce NLEs during the pandemic among adolescents, and interventions should be tailored according different sex and ages.

Objective To analyze the correlation between menopausal symptoms of newly diagnosed patients with premature ovarian failure (POF) and age of diagnosis and quality of life in all dimensions. Methods A cross-sectional study was used. The modified Kupperman index and quality of life scale (Short Form 36 Health Survey Profile, SF-36) were used to assess the patients with POF who were treated for the first time in the Gynecologic Endocrine Outpatient Clinics of Women’s Hospital, Zhejiang University School of Medicine from January 2015 to December 2018. The correlation was analyzed by the multiple linear regression analysis method. Results A total of 170 patients completed the survey, among which 122 women (71.76%) had menopausal symptoms. The age of diagnosis for patients with menopausal symptoms [(34.9±5.1) years] was older than that for patients without symptoms [(32.7±6.2) years, P=0.042]. Except the physiological function domain, POF patients with menopausal symptoms had impaired quality of life in domains of role-physiological (P=0.006), bodily pain (P=0.025), general health (P<0.000 1), vitality (P<0.000 1), social functioning (P=0.006), role-emotional (P=0.004) and mental health (P=0.005) compared with patients with no symptom. The results of multiple linear regression analysis showed that the diagnosed age, scores of general health, role-emotional, and vitality of POF patients were correlated with the total scores of modified Kupperman index, with regression coefficients of 0.158, -0.219, -0.222 and -0.226, respectively (P<0.05 for all). Conclusion The life quality of POF patients with menopausal symptoms was significantly impaired. The age of diagnosis, quality of life in dimensions of general health, role-emotional and vitality were correlated with the occurrence of menopausal symptoms. Key words: Premature ovarian failure; Primary ovarian insufficiency; Menopausal symptom; Quality of life; Multiple linear regression

The aim of this study was to analyze the relationship between quality of life (QoL) and supportive care needs (SCNs) in cancer patients. It is difficult to relate SCNs to detriments in QoL since SCNs and QoL assessment tools generally comprise different dimensions that cannot be directly related to each other. Therefore, we developed a short questionnaire with eight dimensions for uniformly measuring SCNs, QoL, and the subjective importance of these dimensions. A total of 1108 cancer patients with mixed diagnoses assessed eight dimensions of health-related QoL concerning SCNs, satisfaction, and importance. Among the eight dimensions of QoL, physical functioning received the highest SCN assessments (M = 3.4), while autonomy (M = 20.7) and social relationships (M = 1.88) were the dimensions with the lowest SCN mean scores on the 1-5 scale. For each of the eight dimensions, high levels of SCNs were reported by those patients who had low levels of satisfaction with that dimension (r between -0.32 and -0.66). The subjective importance of the dimensions was not consistently correlated with SCNs (r between -0.19 and 0.20). Females reported higher SCNs than males in six of the eight specific dimensions. Patients with prostate and male genital cancers reported the lowest SCNs. These results suggest gender-specific SCN patterns that warrant further exploration. This study highlights the value of a unified assessment instrument for SCNs and QoL, providing a robust basis for future cancer care strategies.

Pediatric cancer can be considered an event potentially leading to posttraumatic stress symptoms (PTSS) as well as posttraumatic growth (PTG). While clinically significant levels of PTSS are rare in childhood cancer survivors, PTG is common in this population. However, the relationship of PTG to overall adaptation and quality of life (QOL) in pediatric cancer patients is not clear. Therefore, our study aims to analyse the relationships of PTSS and PTG with QOL in childhood cancer survivors. In this study, 172 childhood cancer survivors completed measures of quality of life (Minneapolis-Manchester Quality of Life Scale; child and adolescent version), posttraumatic stress (UCLA PTSD Reaction Index for DMS-IV) and posttraumatic growth (Benefit Finding Scale for Children). Correlation analyses were carried out separately for the child (up to 13 years, N = 47) and adolescent (more than 13 years, N = 125) groups and each QOL dimension. In the adolescent group, the relationship of PTSS and PTG with QOL was further verified by regression analyses while controlling for age, gender, and time off treatment. In children, negative relationships between PTSS and QOL were found, but the relationships between QOL and PTG were not significant. In adolescents, significant relationships were found for all dimensions of QOL and PTSS and also for several dimensions of QOL and PTG. The relationships between PTSS and QOL dimensions were negative in both groups, and the relationships between PTG and QOL in the adolescent group were weakly positive. In adolescents, regression analyses controlling for age, gender and time off treatment were performed and confirmed a negative relationship of PTSS with all QOL dimensions except for social functioning. For PTG, regression analyses revealed a significant positive relationship with QOL dimensions of social functioning, outlook on life and intimate relations. While the relationship between PTSS and QOL is negative for almost all QOL dimensions in children and adolescents, the nature of the relationship between PTG and QOL appears to be more complex and changing over time. PTG in children may reflect different processes with different outcomes than PTG in adolescents.

The aim of this study was to analyze the health and wellness status perception in amateur half-marathon runners according to sex, age, being injured or not during the two months prior to the race, and having the support or not of qualified staff for race preparation. Six hundred and twenty-four amateur level half-marathon athletes (515 men and 107 women; 41.5 ± 10.1 years) participated in the study. One week before competing in a half-marathon, participants answered the Hooper Index and the SF-36 questionnaire. Women stated higher stress before competing in the race (p < 0.01) compared to men and the group of runners of <40 years stated greater fatigue (p < 0.05) compared to the group of >40 years. Women showed a better quality of life in physical and emotional role dimensions (p < 0.05), and the group of >40 years showed a better quality of life in the emotional role dimension (p < 0.05). The group that had suffered an injury (InjuryYes) declared greater muscle soreness (MusclSore; p < 0.01), and the group that had qualified staff (QualifStaffYes) declared a higher level of stress (p < 0.05) and fatigue (p < 0.01). The Injury No (InjuryNo) group showed a better quality of life in the physical function dimension (p < 0.01). The group that did not have qualified staff (QualifStaffNo) showed a better quality of life in the dimensions of body pain, general health, vitality, social function (p < 0.05), and mental health (p < 0.01), while the QualifStaffYes group showed better results in the dimensions of physical function and emotional role (p < 0.05). Sex, age, being injured or not during the two months prior to the race, and having the support or not of qualified staff for the race preparation can influence the health and wellness status perception.

Children and adolescents with type 1 diabetes (T1D) experience persistent impacts on quality of life (QoL). While most previous studies have relied on cross-sectional designs, this prospective cohort study intended to: (1) assess longitudinal changes in patient-reported QoL over a three-year period; (2) identify distinct QoL trajectory subgroups; and (3) examine demographic, physiological, psychological, and clinical determinants associated with trajectory membership and multidimensional QoL outcomes. Two hundred children and adolescents with T1D from China were followed for three years in a longitudinal cohort study. QoL was measured using the Quality of Life Scale for Children and Adolescents (QLSCA) at baseline from June 2019 to May 2020, with follow-up visits at years 1, 2, and 3 thereafter. Trajectories of QoL and associations with determinants were identified via iterative estimations of group-based trajectory models and multivariable multinomial logistic regression, respectively. The specific impacts of the determinants on QoL were revealed using multiple linear regressions. Changes in QoL dimensions over time were examined using linear mixed models, while changes in determinants were analyzed using both linear mixed models and generalized estimating equations. Four QoL trajectory groups were identified (N = 200): poor (19.5%), moderate (27.5%), improving (17.5%), and good (35.5%) QoL. Improved QoL was associated with higher paternal education, greater height, lower glycosylated hemoglobin (HbA1c), fewer hypoglycemic episodes, and reduced depression levels. Furthermore, the frequency of self-monitoring of blood glucose (SMBG), Self-Management of Type 1 Diabetes for Adolescents (SMOD-A) scores, and higher parental education were positively correlated with improvements in various QoL dimensions. In contrast, higher State-Trait Anxiety Inventory-Trait (STAI-T) and Children's Depression Inventory (CDI) scores were negatively correlated with relationship between teacher and pupil, negative emotions, and other QoL aspects. Throughout the study, a significant increase in the use of continuous glucose monitoring (CGM) and insulin pumps was observed, along with improvements in SMBG and self-management ability. Notably, a reduction in the monthly frequency of hypoglycemic episodes and anxiety levels was also observed. Statistically significant improvements were found across several QoL dimensions, including companionship, self-esteem, physical feeling, activity opportunity, and physical activity ability, with the most pronounced improvement seen in physical activity ability. This study identified the dynamic trajectories of QoL changes in a cohort of children and adolescents with T1D and screened potential determinants that enhance QoL. These insights are valuable for developing tailored, individualized diabetes management strategies aimed at improving long-term outcomes for T1D patients.

Background: Burn injuries can contribute to physical and psychological problems affecting quality of life (QoL). The QoL is a parameter to assess medical results after treatment. In Indonesia, studies concerning burn patients’ QoL after treatment are still limited. Objective: This study aims to observe correlations between 8 dimensions of QoL after treatment and histories of burn severity, numbers of surgical procedures, and lengths of hospital stay Methods: A cross sectional study was conducted in December 2018. Subject criteria of this study were patients who have experienced burn injuries for the last 2 years and have been treated at dr. Soebandi Hospital Jember. Then all the patients were discharged from the hospital by following medical advice in recovered conditions. They were asked to complete SF-36 questionnaires that consist of 8 dimensions of QoL. Every dimension was correlated with histories of burn severity, numbers of surgical procedure, and lengths of hospital stay. Next, the obtained data were analysed by Pearson and Spearman. Results: 13 subjects or patients were analysed. Most of them (38.5%) were adults in a range of 41 – 50 years old and were male (69.2%). A bivariate analysis found a significant negative correlation between burn severity and QoL in physical functions, bodily pains, and mental health dimensions (p=0.030, p=0.012, p=0.044). A significant negative correlation was also reported between numbers of surgical procedures and QoL in physical role dimensions (p=0.047). Lengths of hospital stay had a significant negative correlation with physical functions and physical role dimensions (p=0.044, p=0.031). Conclusion: This study revealed significant correlations between burn severity, numbers of surgical procedures, length of hospital stay and the various dimensions of QoL. This study also provided data of QoL, so in the future burn centres can identify dimensions of QoL after burn injuries and can improve their burn management and patient care to improve their QoL.

Background: Chronic kidney disease (CKD) is a fast-growing cause of morbidity and mortality worldwide. Patients suffering from CKD almost always develop end-stage renal disease (ESRD) that is often treated with haemodialysis (HD). In this context, the quality of the nurse-patient relationship (NPR) plays a major role in supporting the quality of life (QoL) of HD patients. This study examined the relationship between quality of nurse behaviours and attitudes as perceived by HD patients and QoL of these patients.Methods: The study used a cross-sectional correlational design. The sample consisted of 140 patients recruited in 10 HD units in French-speaking Switzerland. The Caring Nurse-Patient Interaction Scale (CNPI-70) was used to assess the NPR, and the French version of the WHOQOL-Bref was used to evaluate different dimensions of QoL. Random-intercept linear regressions adjusted for sociodemographic characteristics were used to study the relationship between patient-perceived quality of nurse caring attitudes and behaviours and patient QoL.Results: Patients reported a high frequency of caring attitudes and behaviours from their attending nurses, except relative to the dimension of spirituality. All the dimensions of patient QoL were positively influenced by the caring factor composing the CNPI-70. In particular, nurse attention to patient dignity when providing support for basic human needs seemed to be a major factor in patient QoL.Conclusions: Quality of NPR is essential to improving patient QoL. Interventions need to be developed to support quality of NPR.

This research aims to restructure a Simpler Quality of e-Life Indicators (SEQOL) and use this simpler structure to understand whether the usage of computer and Internet will make impacts on quality of life in Taiwan. By using telephone interviews, 3,563 valid respondents, aged 15 and above with Taiwan nationality, were interviewed. After performing exploratory factor analysis, confirmatory factor analysis, reliability and validity assessment, a simpler factor structure of the SEQOL was formed. The new structure contains 24 items categorized into seven domains: Socioeconomic status, Selfesteem, Social competence, Life freedom, Community support, Psychological pressure and physical health. This research also found that gender divide on most domains did not exist. Those who are aged between 35 and 54 exhibit the highest satisfaction. Residents with university degree have the highest satisfaction on their quality of life and the residents of northern Taiwan have the lowest satisfaction. People who having computer at home show higher satisfaction on quality of life in dimensions of overall, Socioeconomic Status, Social Competence, Psychological Pressure, and Physical Health. On overall quality of life, there is no significant difference between Internet user and non user. But, People who having access to Internet show higher satisfaction on quality of life in dimensions of Socioeconomic Status, Social Competence, Psychological Pressure, and Physical Health, oppositely, have lower satisfaction on quality of life in dimensions of Life Freedom and Community Support.