Association of Adiposity and Mental Health Functioning across the Lifespan: Findings from Understanding Society (The UK Household Longitudinal Study)

Preliminary evaluation of a brief worksite intervention to reduce weight stigma and weight bias internalization

Weight-based discrimination (WBD) is common and associated with reduced physical and emotional functioning. WBD is common in the workplace, yet no studies have evaluated a WBD intervention delivered in a worksite setting. This study evaluated the feasibility, acceptability, and preliminary effectiveness of a 3-hour, remote-delivered WBD intervention at a large public university. Six workshops including 94 participants (41.76 ± 9.37 y; 92.8% women) were delivered December 2020 through May 2021; 88.3% of participants enrolled in the study and 88.8% of enrolled participants completed pre- and post-intervention surveys. Participants strongly agreed the workshop contributed to a more inclusive work environment (M=4.98 ± 0.2; 1 =Strongly Disagree to 5 =Strongly Agree); and was highly needed (4.9 ± 0.3) and liked (4.8 ± 0.5). Qualitative feedback cited benefits of remote delivery in providing body size anonymity and wanting access to intervention materials and more time for discussion and action steps to reduce WBD. Participants experienced significant, medium reductions in explicit weight bias (ps < .001), significant, small reductions in weight bias internalization (p < .001), and statistically non-significant (p = .08), small-to-medium reductions in implicit bias. Targeting worksites as a delivery mechanism has the potential to reduce WBD, thereby improving the health and well-being of diverse employees and creating a more inclusive workspace.

Residential mobility restrictions and adverse mental health outcomes during the COVID-19 pandemic in the UK

During the COVID-19 pandemic, several governments tried to contain the spread of SARS-CoV-2, the virus that causes COVID-19, with lockdowns that prohibited leaving one's residence unless carrying out a few essential services. We investigate the relationship between limitations to mobility and mental health in the UK during the first year and a half of the pandemic using a unique combination of high-frequency mobility data from Google and monthly longitudinal data collected through the Understanding Society survey. We find a strong and statistically robust correlation between mobility data and mental health survey data and show that increased residential stationarity is associated with the deterioration of mental wellbeing even when regional COVID-19 prevalence and lockdown stringency are controlled for. The relationship is heterogeneous, as higher levels of distress are seen in young, healthy people living alone; and in women, especially if they have young children.

Early-life socioeconomic circumstances and the comorbidity of depression and overweight in adolescence and young adulthood: A prospective study

Depression and overweight both often emerge early in life and have been found to be associated, but few studies examine depression-overweight comorbidity and its social patterning early in the life course. Drawing on data from 4,948 participants of the Avon Longitudinal Study of Parents and Children (ALSPAC) birth cohort from the UK (2,798 female, 2,150 male), we investigated how different aspects of early-life socioeconomic circumstances are associated with depression-overweight comorbidity from adolescence to young adulthood exploring any differences by age and sex. We estimated how parental education, social class and financial difficulties reported in pregnancy were associated with depression and overweight, and their comorbidity at approximately the ages 17 and 24 in males and females. The results from multinomial logistic regression models showed that all three socioeconomic markers were associated with depression-overweight comorbidity and results were similar across age. Lower parental education (relative risk ratio (RRR) and 95% confidence interval (CI) of low education v high education: 3.61 (2.30-5.67) in females and 1.54 (1.14-2.07) in males) and social class (class IV/V v class I: 5.67 (2.48-12.94) in females and 3.11 (0.70-13.91) in males) had strong associations with comorbidity at age 17 relative to having neither depression or overweight. Financial difficulties were also a risk factor in females, with less clear results in males. These findings highlight how early socioeconomic circumstances are linked with the accumulation of mental and physical health problems already in adolescence, which has implications for life-long health inequalities.

The gender gap in mental well-being at the onset of the Covid-19 pandemic: Evidence from the UK

We assess the decline in mental health after the onset of the Covid-19 pandemic in the UK. This decline was more than twice as large for women as for men. We seek to explain this gender gap by exploring gender differences in: family and caring responsibilities; financial and work situation; social engagement; health situation, and health behaviours, including exercise. We assess their quantitative relevance by applying standard decomposition methods. We find that compositional differences in family and caring responsibilities explain part of the gender gap, but more important are gender differences in social factors, particularly changes in loneliness. We explore this result further by analysing gender differences in personality traits. Even after controlling for all factors there remains a noticeable age-gender gradient, with young females suffering particularly badly.

Personality, gender, and age resilience to the mental health effects of COVID-19

RATIONALE

Understanding the impact of COVID-19 on different population cohorts and which personality traits affected individual's coping responses can help identify strategies to promote self-directed behaviours, thereby enhancing and maintaining individual's mental well-being.

OBJECTIVE

Using longitudinal data for the UK, we examine the impact of the COVID-19 pandemic on individuals' mental well-being, focusing on age, gender, and personality traits as possible modifiers.

METHODS

We explore the longitudinal nature of the data using individual fixed effects models, which implicitly control for unobserved time-invariant individual-level characteristics. Our sample is an unbalanced panel consisting of 373,555 person-years observations, observed from 2009 until June 2020.

RESULTS

The negative impacts of the first months of the pandemic period are found to be larger for young adults (aged 16-25 years) and vary by personality traits. The increase in psychological distress symptoms is more pronounced for individuals who score higher in neuroticism, extroversion, and openness to experience. Indeed, for introverted young people, recent events may have actually brought a sense of calm. Other findings indicate that worsening in the psychological distress level occurs alongside with increased feelings of loneliness.

CONCLUSIONS

Our findings support the theoretical knowledge that different people have different psychological and behaviour responses and personality concepts can be used when studying individual's adaptive behaviour in critical situations such as COVID-19. Our results indicate the necessity of public health programmes to assist distressed young individuals.

The Relationship between F2-Isoprostanes Plasma Levels and Depression Symptoms in Healthy Older Adults

The increasing proportion of older citizens in our society reflects a need to better understand age-related biological underpinnings of mood, as depression in older age may be under-diagnosed. Pre-clinical and human studies evidence a relationship between oxidative stress (OS) biomarkers in depression symptoms, and an influence of biological factors such as Body Mass Index (BMI), but focus has been clinical or younger samples, and less is known about patterns in healthy older adults. We investigated these associations with data derived from the Australian Research Council Longevity Study (ARCLI; ANZCTR12611000487910), in 568 healthy adults aged 60–75 years using F₂-Isoprostanes plasma levels, and controlling for demographic factors, in assessing mood via the Beck Depression Inventory-II, Chalder Fatigue Scale, and General Health Questionnaire 12. Elevated F₂-Isoprostanes contributed to depressed mood on the BDI-II and reduced general health on the GHQ-12. BMI was positively associated with Chalder Fatigue scores, yet better ratings on the GHQ-12. Females had significantly higher F₂-Isoprostanes than males. The results suggest that in otherwise healthy older adults, mood and mental health are reduced with increases in oxidative stress markers, exhibiting similar patterns observed in clinical groups. Sex as a factor should be considered when assessing OS levels in systemic pathologies. BMI as a modifiable risk factor for maintenance of mental health, and OS modification through nutrient supplementation, are discussed. The findings contribute to understanding oxidative stress marker patterns in healthy older adults and their potential role in mood symptoms and mental health.

The first wave of the COVID-19 pandemic and its impact on socioeconomic inequality in psychological distress in the UK

We use data from the UK Household Longitudinal Study (UKHLS) to compare measures of socioeconomic inequality in psychological distress, measured by the General Health Questionnaire (GHQ), before (Waves 9 and the Interim 2019 Wave) and during the first wave of the COVID-19 pandemic (April to July 2020). Based on a caseness measure, the prevalence of psychological distress increased from 18.5% to 27.7% between the 2019 Wave and April 2020 with some reversion to earlier levels in subsequent months. Also, there was a systematic increase in total inequality in the Likert GHQ-12 score. However, measures of relative socioeconomic inequality have not increased. A Shapley-Shorrocks decomposition analysis shows that during the peak of the first wave of the pandemic (April 2020) other socioeconomic factors declined in their share of socioeconomic inequality, while age and gender account for a larger share. The most notable increase is evident for younger women. The contribution of working in an industry related to the COVID-19 response played a small role at Wave 9 and the Interim 2019 Wave, but more than tripled its share in April 2020. As the first wave of COVID-19 progressed, the contribution of demographics declined from their peak level in April and chronic health conditions, housing conditions, and neighbourhood characteristics increased their contributions to socioeconomic inequality.

European Forum for Primary Care: Position Paper for Primary Care Mental Health

There is a need for a paradigm shift across mental health in primary care to improve the lives of millions of Europeans. To contribute to this paradigm shift, the European Forum for Primary Care (EFPC-MH) working group for Mental Health, produced a Position Paper for Primary Care Mental Health outlining 14 themes that needed prioritizing. These themes were developed and discussed interactively during the EFPC conferences between 2012 and 2019. The Position Paper on Mental Health gives direction to the necessary improvements over the next ten years. The themes vary from preferable healthcare model to the social determinants highlighting issues such as inequalities. The Statement of Mental Health in Primary Care will be established in cooperation with fellow organizations.

Ada-WHIPS: explaining AdaBoost classification with applications in the health sciences

BACKGROUND

Computer Aided Diagnostics (CAD) can support medical practitioners to make critical decisions about their patients' disease conditions. Practitioners require access to the chain of reasoning behind CAD to build trust in the CAD advice and to supplement their own expertise. Yet, CAD systems might be based on black box machine learning models and high dimensional data sources such as electronic health records, magnetic resonance imaging scans, cardiotocograms, etc. These foundations make interpretation and explanation of the CAD advice very challenging. This challenge is recognised throughout the machine learning research community. eXplainable Artificial Intelligence (XAI) is emerging as one of the most important research areas of recent years because it addresses the interpretability and trust concerns of critical decision makers, including those in clinical and medical practice.

METHODS

In this work, we focus on AdaBoost, a black box model that has been widely adopted in the CAD literature. We address the challenge - to explain AdaBoost classification - with a novel algorithm that extracts simple, logical rules from AdaBoost models. Our algorithm, Adaptive-Weighted High Importance Path Snippets (Ada-WHIPS), makes use of AdaBoost's adaptive classifier weights. Using a novel formulation, Ada-WHIPS uniquely redistributes the weights among individual decision nodes of the internal decision trees of the AdaBoost model. Then, a simple heuristic search of the weighted nodes finds a single rule that dominated the model's decision. We compare the explanations generated by our novel approach with the state of the art in an experimental study. We evaluate the derived explanations with simple statistical tests of well-known quality measures, precision and coverage, and a novel measure stability that is better suited to the XAI setting.

RESULTS

Experiments on 9 CAD-related data sets showed that Ada-WHIPS explanations consistently generalise better (mean coverage 15%-68%) than the state of the art while remaining competitive for specificity (mean precision 80%-99%). A very small trade-off in specificity is shown to guard against over-fitting which is a known problem in the state of the art methods.

CONCLUSIONS

The experimental results demonstrate the benefits of using our novel algorithm for explaining CAD AdaBoost classifiers widely found in the literature. Our tightly coupled, AdaBoost-specific approach outperforms model-agnostic explanation methods and should be considered by practitioners looking for an XAI solution for this class of models.

Are changes in depressive symptoms, general health and residential area socio-economic status associated with trajectories of waist circumference and body mass index?

Objective

This study sought to assess whether changes in depressive symptoms, general health, and area-level socio-economic status (SES) were associated to changes over time in waist circumference and body mass index (BMI).

Methods

A total of 2871 adults (18 years or older), living in Adelaide (South Australia), were observed across three waves of data collection spanning ten years, with clinical measures of waist circumference, height and weight. Participants completed the Centre for Epidemiologic Studies Depression (CES-D) and Short Form 36 health questionnaires (SF-36 general health domain). An area-level SES measure, relative location factor, was derived from hedonic regression models using residential property features but blind to location. Growth curve models with latent variables were fitted to data.

Results

Waist circumference, BMI and depressive symptoms increased over time. General health and relative location factor decreased. Worsening general health and depressive symptoms predicted worsening waist circumference and BMI trajectories in covariate-adjusted models. Diminishing relative location factor was negatively associated with waist circumference and BMI trajectories in unadjusted models only.

Conclusions

Worsening depressive symptoms and general health predict increasing adiposity and suggest the development of unhealthful adiposity might be prevented by attention to negative changes in mental health and overall general health.

Body Composition during Early Infancy and Mental Health Outcomes at 5 Years of Age: A Prospective Cohort Study of Ethiopian Children

OBJECTIVE

To examine the relationship between body composition-specifically fat mass (FM) and fat-free mass (FFM)-in early infancy, and mental health outcomes in early childhood.

STUDY DESIGN

In the Infant Anthropometry and Body Composition birth cohort study from Ethiopia, body composition was measured at birth and 1.5, 2.5, 3.5, 4.5, and 6 months of age. Mental health was assessed at 5 years of age using the approved Amharic version of the Strengths and Difficulties Questionnaire (SDQ), a parent report scale covering 4 different domains providing a total difficulties score. The associations of FM or FFM at birth as well as during early infancy, with SDQ score at 5 years of age were examined using multiple linear regression analyses.

RESULTS

At 5 years of age, the mean ± SD for SDQ score was 10.4 ± 5.8. FM at birth was positively and FFM negatively associated with SDQ score. For each kg increase in FM at birth, the SDQ score at 5 years was 5.7 points higher (β = 5.7; 95% CI, 1.4-10.0). In contrast, for each kilogram increase in FFM at birth, the SDQ score was 3.9 points lower (β = -3.9; 95% CI, -7.0 to -0.8). Neither FM nor FFM accretion rate during early infancy were associated with SDQ score at 5 years of age.

CONCLUSIONS

Fetal rather than infant body composition was associated with SDQ score at 5 years of age. Greater FFM accretion during fetal life may have contributed to more optimal neurobehavioral development during early life. However, the potential mechanisms underlying the observed associations need further investigation.

Associations between active commuting, body fat, and body mass index: population based, cross sectional study in the United Kingdom

OBJECTIVE

To determine if promotion of active modes of travel is an effective strategy for obesity prevention by assessing whether active commuting (walking or cycling for all or part of the journey to work) is independently associated with objectively assessed biological markers of obesity.

DESIGN

Cross sectional study of data from the wave 2 Health Assessment subsample of Understanding Society, the UK Household Longitudinal Study (UKHLS). The exposure of interest, commuting mode, was self reported and categorised as three categories: private transport, public transport, and active transport.

PARTICIPANTS

The analytic samples (7534 for body mass index (BMI) analysis, 7424 for percentage body fat analysis) were drawn from the representative subsample of wave 2 respondents of UKHLS who provided health assessment data (n = 15,777).

MAIN OUTCOME MEASURES

Body mass index (weight (kg)/height (m)(2)); percentage body fat (measured by electrical impedance).

RESULTS

Results from multivariate linear regression analyses suggest that, compared with using private transport, commuting by public or active transport modes was significantly and independently predictive of lower BMI for both men and women. In fully adjusted models, men who commuted via public or active modes had BMI scores 1.10 (95% CI 0.53 to 1.67) and 0.97 (0.40 to 1.55) points lower, respectively, than those who used private transport. Women who commuted via public or active modes had BMI scores 0.72 (0.06 to 1.37) and 0.87 (0.36 to 0.87) points lower, respectively, than those using private transport. Results for percentage body fat were similar in terms of magnitude, significance, and direction of effects.

CONCLUSIONS

Men and women who commuted to work by active and public modes of transport had significantly lower BMI and percentage body fat than their counterparts who used private transport. These associations were not attenuated by adjustment for a range of hypothesised confounding factors.