Influence of adiposity on health-related quality of life in the Gateshead Millennium Study cohort: longitudinal study at 12 years

Association of body mass index from childhood to mid-adulthood with health-related quality of life in mid-adulthood

PURPOSE

Most studies regarding the association of obesity with health-related quality of life (HRQoL) have assessed obesity at only one or two time points. We aimed to examine the associations of life course body mass index (BMI) from childhood with health-related quality of life (HRQoL) in mid-adulthood.

METHODS

Data were from a cohort study of Australian children (n = 2254, mean baseline age 12.0 (2.0) years in 1985, 46.8% male). Weight and height were measured at baseline and measured or self-reported on average 20, 25, and 30 years later. Age and sex-standardised BMI-z score was calculated at each time point. Physical and mental HRQoL and health state utilities (HSUs) were measured by SF-12 and SF-6D at the last adult follow-up. Linear regression was used to examine the associations adjusting for age, sex, and childhood health status.

RESULTS

Higher BMI-z score in childhood (βadjusted - 1.39, 95% CI - 1.73 to - 1.05) and increasing BMI-z score from childhood to young adulthood (βadjusted - 1.82, 95% CI - 2.17 to - 1.46) and from young to mid-adulthood (βadjusted - 1.77, 95% CI - 2.28 to - 1.26) were associated with lower physical HRQoL in mid-adulthood. Similar results were found for mid-adulthood HSUs (βadjusted ranged - 0.006 to - 0.014, all P < 0.05). Only increasing BMI-z score from young to mid-adulthood significantly related to poorer mental HRQoL (βadjusted - 0.74, 95% CI - 1.29 to - 0.19) in mid-adulthood.

CONCLUSION

High BMI from childhood to mid-adulthood had only modest associations with HRQoL and HSUs, with effects on physical HRQoL most apparent.

Health-related quality of life profiles in adolescents and young adults with chronic conditions

PURPOSE

To assess health-related quality of life (HRQOL) among adolescents and young adults (AYAs) with chronic conditions.

METHODS

AYAs (N = 872) aged 14-20 years completed NIH's Patient-Reported Outcomes Measurement Information System® (PROMIS®) measures of physical function, pain interference, fatigue, social health, depression, anxiety, and anger. Latent profile analysis (LPA) was used to group AYAs into HRQOL profiles using PROMIS T-scores. The optimal number of profiles was determined by model fit statistics, likelihood ratio test, and entropy. Multinomial logistic regression models were used to examine how LPA's HRQOL profile membership was associated with patient demographic and chronic conditions. The model prediction accuracy on profile membership was evaluated using Huberty's I index with a threshold of 0.35 for good effect.

RESULTS

A 4-profile LPA model was selected. A total of 161 (18.5%), 256 (29.4%), 364 (41.7%), and 91 (10.4%) AYAs were classified into Minimal, Mild, Moderate, and Severe HRQOL Impact profiles. AYAs in each profile had distinctive mean scores with over a half standard deviation (5-points in PROMIS T-scores) of difference between profiles across most HRQOL domains. AYAs who were female or had conditions such as mental health condition, hypertension, and self-reported chronic pain were more likely to be in the Severe HRQOL Impact profile. The Huberty's I index was 0.36.

CONCLUSIONS

Approximately half of AYAs with a chronic condition experience moderate to severe HRQOL impact. The availability of risk prediction models for HRQOL impact will help to identify AYAs who are in greatest need of closer clinical care follow-up.

Applying latent profile analysis to identify adolescents and young adults with chronic conditions at risk for poor health-related quality of life

The impact of chronic diseases on health-related quality of life (HRQOL) in adolescents and young adults (AYAs) is understudied. Latent profile analysis (LPA) can identify profiles of AYAs based on their HRQOL scores reflecting physical, mental, and social well-being. This paper will (1) demonstrate how to use LPA to identify profiles of AYAs based on their scores on multiple HRQOL indicators; (2) explore associations of demographic and clinical factors with LPA-identified HRQOL profiles of AYAs; and (3) provide guidance on the selection of adult or pediatric versions of Patient-Reported Outcomes Measurement Information System® (PROMIS®) in AYAs. A total of 872 AYAs with chronic conditions completed the adult and pediatric versions of PROMIS measures of anger, anxiety, depression, fatigue, pain interference, social health, and physical function. The optimal number of LPA profiles was determined by model fit statistics and clinical interpretability. Multinomial regression models examined clinical and demographic factors associated with profile membership. As a result of the LPA, AYAs were categorized into 3 profiles: Minimal, Moderate, and Severe HRQOL Impact profiles. Comparing LPA results using either the pediatric or adult PROMIS T-scores found approximately 71% of patients were placed in the same HRQOL profiles. AYAs who were female, had hypertension, mental health conditions, chronic pain, and those on medication were more likely to be placed in the Severe HRQOL Impact Profile. Our findings may facilitate clinicians to screen AYAs who may have low HRQOL due to diseases or treatments with the identified risk factors without implementing the HRQOL assessment.

Health-related quality of life, motivational regulation and Basic Psychological Need Satisfaction in Education Outside the Classroom: an explorative longitudinal pilot study

BACKGROUND

Given a suboptimal state of mental health among children, an urgent need exists to seek approaches related to health promotion in this population's settings, such as in schools. Increased health-related quality of life (HRQoL) and improved school motivation could be crucial for children's mental health. Based on self-determination theory, paths can be identified that could lead to such improvements by strengthening the basic psychological needs (BPN). This study aimed to examine the impact on and the relationships among HRQoL, school motivation and BPN within the promising concept of education outside the classroom (EOtC).

METHODS

In this exploratory study, we employed a between-subjects cohort study design with no blinding or randomisation. We surveyed fifth graders (mean = 10.1 years) attending EOtC (experimental group [EG], n = 25) and normal indoor lessons (control group, [CG], n = 41) at the beginning (T1) and end (T2) of a semester. We used the translations of validated questionnaires and established linear mixed-effects models to evaluate whether the students in EOtC show higher scores of HRQoL and school motivation and, whether the satisfaction of BPN of autonomy (PAut), competence (PCom), social relatedness with classmates (PSRC) and teachers (PSRT) show associations with these outcomes.

RESULTS

Regarding intrinsic and identified motivational regulation, results showed significant increases over time in the overall sample and significant higher scores in the EG than in the CG. For HRQoL, no group differences were found, but a significant decrease over time in the EG. Regarding possible associations between the outcomes and BPN, such could only be found between HRQoL and PSRC, but not for the other BPN and not for motivational regulation and BPN.

CONCLUSIONS

Without having been able to explain this on the basis of increased BPN values, our results show that EOtC can support improvements in specific regulation types of school motivation. This could contribute to an improvement in the mental health situation in children, as school represents a major stressor for them. Future steps in terms of researching HRQoL in this setting are discussed, as this pilot study does preliminary work for necessary examinations, e.g. in structural equation approaches.

The Biological and Social Determinants of Childhood Obesity: Comparison of 2 Cohorts 50 Years Apart

OBJECTIVE

To determine whether the same relationships between early-life risk factors and socioeconomic status (SES) with childhood body mass index (BMI) are observed in a modern cohort (2000) compared with a historic cohort (1947).

STUDY DESIGN

The relationships between early-life factors and SES with childhood BMI were examined in 2 prospective birth cohorts from the same region, born 50 years apart: 711 children in the 1947 Newcastle Thousand Families Study (NTFS) and 475 from the 2000 Gateshead Millennium Study (GMS). The associations between birth weight, breastfeeding, rapid infancy growth (0-12 months), early-life adversity (0-12 months), and parental SES (birth and childhood) with childhood BMI z-scores and whether overweight/obese (BMI >91st percentile using UK 1990 reference) aged 9 years were examined using linear regression, path analyses, and logistic regression.

RESULTS

In the NTFS, the most advantaged children were taller than the least (+0.91 height z-score, P = .001), whereas in GMS they had lower odds of overweight/obese than the least (0.35 [95% CI 0.14-0.86]). Rapid infancy growth was associated with increased BMI z-scores in both cohorts, and with increased likelihood of overweight/obese in GMS.

CONCLUSIONS

This study suggests that children exposed to socioeconomic disadvantage or who have rapid infancy growth in modern environments are now at lower risk of growth restriction but greater risk of overweight.

Parental perception of child health status and quality of life associated with overweight and obesity in early childhood

PURPOSE

The aim was to assess perceived health status and health-related quality of life (HRQL) according to persistence of and variation in weight status among children from the age of 4 to 6 years.

METHODS

Longitudinal study of 1883 participants in the ELOIN cohort (Madrid Region, Spain), with physical examination at ages 4 and 6 years. Perceived health status and HRQL were assessed using parent-reported Kidscreen-10 scores, with excess weight being defined on the basis of body mass index (BMI) using the WHO reference tables (z-BMI > 1 standard deviation), and abdominal obesity being defined on the basis of waist circumference (percentile ≥ 90) using the tables proposed by Fernández et al. Variation in these two parameters at age 6 years was associated with incident cases of suboptimal health by logistic regression, and with HRQL by linear regression.

RESULTS

Compared to children without excess weight or abdominal obesity in both periods, incident cases of excess weight or abdominal obesity had odds ratios (ORs) of suboptimal health of 2.41 (95% CI 1.21 to 4.80) and 2.99 (95% CI 1.31 to 6.84) respectively. In terms of HRQL, children with remission of excess weight had a higher Kidscreen-10 score: β coefficient = 2.02 (95% CI 0.36 to 3.68), whereas new cases of abdominal obesity had a lower Kidscreen-10 score: β = - 2.22 (95% CI - 4.40 to - 0.03).

CONCLUSIONS

Incident cases of excess weight and abdominal obesity had a higher risk of suboptimal health. Incident cases of abdominal obesity were also associated with worse HRQL.

The longitudinal association between weight change and health-related quality of life in adults and children: a systematic review

This systematic review examined longitudinal associations between weight change (weight gain and loss) and both physical and mental aspects of health-related quality of life (HRQOL) compared with stable weight in adults and children of the general population. MEDLINE, EMBASE, PsycINFO and PubMed databases were searched. Longitudinal observational studies measuring HRQOL with six predefined instruments were synthesized according to type of association: weight change and change in HRQOL (change-on-change association) and weight change and HRQOL at follow-up (predictive association). Twenty studies of adults (n = 15) or children (n = 5) were included. Fifteen studies used the SF-12 or SF-36. Results of nine studies in adults examining the change-on-change association were combined through a tallying of 606 analyses. Weight gain was most often associated with reduced physical, but not mental HRQOL, across all baseline body mass index categories and in both men and women. Weight loss may be associated with improved physical, but not mental HRQOL, among adults with overweight and obesity. Weight gain was more strongly associated with HRQOL than weight loss, implicating a greater need for preventative strategies to tackle obesity. Results in children and for the predictive association generally reflected these findings but require further research.

Adolescents' health-related quality of life (HRQoL) changes over time: a three year longitudinal study

BACKGROUND

Adolescence is a significant developmental stage marked by physical, psychological and social changes. While adolescents are generally perceived to be healthy, this stage of development is also associated with an emergence of risk factors that may have long-term consequences for their wellbeing. The aim of this study was to assess health related quality of life (HRQoL), and possible gender and age differences, in a sample of secondary school-aged adolescents over a three-year time period.

METHODS

Australian adolescents (n = 403, aged 12-15 at baseline) across six New South Wales high schools completed the KIDSCREEN-27 Questionnaire at three time points. The KIDSCREEN-27 measures five HRQoL domains (physical wellbeing, psychological wellbeing, autonomy and parents relations, social support and peers, and school environment). Mixed-between-within-subjects ANOVA analyses were employed to examine HRQoL over time and across age and gender.

RESULTS

HRQoL rates were comparable to the European-based KIDSCREEN norms with the exception of psychological wellbeing, which was considerably lower in this study's sample. Over time, for the total sample, there were significant changes on only one of the five dimensions (social support and peers). However, gender differences were found to be significant across three dimensions (physical wellbeing, psychological wellbeing, and autonomy and parents relations), with females reporting lower scores than males (i.e. lower HRQoL). Females' scores also declined over the three time points across two of the five HRQoL dimensions (social support and peers, and school environment), indicating reductions in HRQoL over time. Age differences were found across all but one dimension (autonomy and parents relations).

CONCLUSIONS

Although statistically significant, the changes in HRQoL may not be clinically significant, as the effect sizes were small and therefore those changes would not be readily noticeable. Those changes, however, suggest that, while HRQoL is predominantly stable over time, fluctuations and declines, such as those found for females, may be early indicators of physical and psychological vulnerabilities. If such vulnerabilities are detected timely; they may be addressed with preventative measures or appropriate interventions.