Obesity and major depressive disorder (MDD)/anxiety disorders often co-occur and aggravate each other resulting in adverse health-related outcomes. As little is known about the potential effects of ...interaction between obesity and MDD and/or anxiety disorders on health-related quality of life (HR-QoL), this study was aimed at examining these combined effects.
We collected data among N = 89,332 participants from the LifeLines cohort study. We categorized body weight using body mass index (kg/m2) as normal weight (18.5-24.99), overweight (25-29.9), mild obesity (30-34.9) and moderate/severe obesity (≥ 35); we measured abdominal obesity using a waist circumference of ≥102 and ≥ 88 cm for males and females, respectively. MDD and anxiety disorders were diagnosed with the Mini-International Neuropsychiatric Interview. HR-QoL was assessed using the RAND-36 questionnaire to compute physical and mental quality of life scores. We used binary logistic and linear regression analyses.
The combined effect of obesity and MDD and/or anxiety disorders on physical QoL was larger than the sum of their separate effects; regression coefficients, B (95%-confidence interval, 95%-CI) were: - 1.32 (-1.75; -0.90). However, the combined effect of obesity and major depression alone on mental QoL was less than the additive effect. With increasing body weight participants report poorer physical QoL; when they also have MDD and/or anxiety disorders participants report even poorer physical QoL. In persons without MDD and/or anxiety disorders, obesity was associated with a better mental QoL.
Obesity and MDD and/or anxiety disorders act synergistically on physical and mental QoL. The management of MDD and/or anxiety disorders and weight loss may be important routes to improve HR-QoL.
In this study, validity aspects of the Strengths and Difficulties Questionnaire (SDQ) self-report and parent-report versions were assessed among Dutch adolescents aged 12 to 17 years (community ...sample: n = 962, clinical sample: n = 4,053). The findings mostly support the continued use of both SDQ versions in screening for psychosocial problems as (a) exploratory structural equation analyses partially supported the grouping of items into five scales; (b) investigation of associations between scales of the SDQ and the Child Behavior Checklist, Youth Self-Report, and Intelligence Development Scales-2 provided evidence for the SDQ versions’ convergent and divergent validity; and (c) receiver operating characteristics curves yielded evidence for both SDQ versions’ criterion validity by showing that these questionnaires can be used to screen for psychosocial problems, except for the adolescent-reported version for males. Regardless of the adolescent’s gender, the receiver operating characteristics curves showed both SDQ versions to be useful for screening for three specific types of problems: anxiety/mood disorder, conduct/oppositional deviant disorder, and attention-deficit/hyperactivity disorder. Additionally, parent-rated SDQ scores were found to be useful for screening for autism spectrum disorder.
Background Young adults at work without basic educational level (BEL), and young adults in Neither Employment, Education nor Training (NEET) are at high risk of adverse employment outcomes. Evidence ...lacks on the impact of mental health problems during childhood, adolescence and young adulthood on employment outcomes of young adults. Therefore, the aims of this study were to (1) identify trajectories of mental health problems from childhood to young adulthood and (2) investigate the relation between these trajectories and the educational or employment status of young adults. Methods Data were used from the Tracking Adolescents’ Individual Lives Survey (TRAILS), a Dutch prospective cohort study with 9-year follow-up. Trajectories of mental health problems measured at ages 11, 13.5, 16 and 19 years were identified in 1711 young adults with latent class growth models. Results Young adults with high-stable trajectories of total problems, from childhood to young adulthood, were more likely to work without BEL or be in NEET at age 19, than to be at school or to work with BEL (28.0% vs 16.0%, p=0.01). The same was found for externalising problems (35.3% vs 23.2%, p=0.02). For internalising and attention problems, no statistically significant differences were found. Conclusions Young adults with high-stable trajectories of mental health problems from age 11 to 19, were at risk of adverse employment outcomes. Interventions reducing mental health problems in childhood may improve the educational or employment status of young adults and their chances for successfully entering the labour market.
Physical activity is essential for promoting public health, and it is affected by the built environment at population level. Extensive evidence exists on the associations between the built ...environment and physical activity, but results are inconclusive for different age groups. Therefore, we conducted a narrative review summarizing existing reviews on the associations between the built environment and physical activity for children, adults and older people and synthesized their findings.
We followed the PRISMA 2020 review procedure and searched for systematic reviews published between January 2010 and April 2022 in seven databases (Scopus, Web of Science, Medline, PsycINFO, EMBASE, SocIndex and Cochrane Library) using keywords related to the built environment, urban interventions, physical activity and health.
The selection process yielded 29 reviews with moderate to high quality. From these reviews, we identified 21 built environment characteristics, several of which were positively related to physical activity. For example, children and older people's physical activity was positively associated with pedestrian-friendly features and general safety. Furthermore, adults and older people's physical activity was positively related to the availability and accessibility of shops/commercial services and parks/open spaces. Lastly, the walkability index was positively associated with physical activity in every age group.
Our findings provide valuable information on creating health-promoting urban environments for practitioners. Further research is needed to understand which characteristics make urban environments age friendly for physical activity. Special attention should be paid to less explored promising characteristics such as street lighting and the quality of green spaces.
•We found 21 destination, route and neighborhood-related built environment features.•Most characteristics had mixed or no associations with physical activity (PA).•Positive associations were mostly different for children, adults and older people.•Evidence on the relation of the built environment with PA was scarce for older people.•The findings on the three age groups help to create a Health-for-All environment.
The COVID-19 pandemic led to accepting a lot of various protective pandemic management-related measures (PanMan), which may have had a large impact on health care workers (HCWs) but evidence is ...scarce. We therefore explored the impact of measures during the second wave. We assessed the associations of PanMan with the Quality of Life (QoL) of hospital HCWs.
We collected data from 215 HCWs (77.7% females, mean age 44.4), who were working at the COVID-related departments of one large hospital in eastern Slovakia via a questionnaire, specifically developed in direct collaboration with them. We assessed PanMan related factors, such as COVID-19 experience, information overload, non-adherence of the public, work stress, barriers and facilitators of health care provision, and QoL related factors, such as impact on family life and activities, housekeeping, relationships with relatives and mental well-being. To analyse the data, we used logistic regression models adjusted for age and gender.
PanMan greatly impacted the QoL of HCWs, in particular family life, housekeeping and mental well-being (odds ratio, 6.8-2.2). The most influential PanMan factors were COVID-19 experience (3.6-2.3), work stress (4.1-2.4) and barriers in health care provision (6.8-2.2). Perceiving work stress had a negative impact on all QoL domains, even on relationships with the greatest impact. Conversely, the PanMan factors reducing the negative impact on QoL were training and colleagues' support (0.4-0.1).
PanMan had a strong negative impact on the QoL of hospital HCWs during the second wave of the COVID-19 pandemic.
Emotional and behavioural problems (EBP) have a negative impact on various life domains of adolescents. Receiving care for EBP may improve the functioning of adolescents with EBP, but evidence on ...long-term outcomes in real-life settings is lacking. We, therefore, investigated self-reported functioning in different life domains of adolescents with various EBP, and the role of care during a three-year period. We used data from the TAKECARE study, which consist of a care and community cohort. We followed adolescents aged 12 and over (
n
= 733) during 3 years over five assessment rounds. Using the Strengths and Difficulties Questionnaire, self-reported functioning was measured in four life domains: home life, friendships, classroom learning and leisure activities. We categorized the respondents into four groups: (1) adolescents without emotional and behavioural problems (
n
= 298); (2) adolescents with emotional problems (
n
= 192); (3) adolescents with behavioural problems (
n
= 80); and (4) adolescents with both emotional and behavioural problems (
n
= 163). The development of functioning over time was analyzed using longitudinal ordinal (probit) regression analyses. Adolescents with both emotional and behavioural problems reported poorer functioning at baseline in all domains and adolescents who received care reported poorer functioning at baseline compared to adolescents who did not receive care. Regarding the change in functioning during the 3 years, adolescents who received care showed improved functioning in all domains. We found improved functioning after care, even if the problems may not have been solved. Psychosocial care can contribute to the functioning of adolescents with EBP, which can have major effects on their future life.
Previous research shows the beneficial effects of an intradialytic resistance training (IRT) on muscle function in haemodialysis patients. However, patients vary highly in their functional responses ...to IRT, may be due to effects of age and sex heterogeneities in adaptation. Therefore, the aim of this study was to investigate the degree to which the effects of IRT on the muscle function of haemodialysis patients vary by age and sex. We included 57 patients who completed a 12-week IRT (EXG) and 33 patients who received no IRT (CNG) during haemodialysis. Muscle function (MF) was assessed using dynamometry before and after a 12-week intervention and after a 12-week follow-up. After the 12-week intervention, we found a moderation effect of age in the relative (%) change (p = 0.011) and absolute (Δ) change (p = 0.027) of MF, and a moderation effect of sex in %MF (p = 0.001), but not in ΔMF (p = 0.069). Regarding patients' age, the change of MF was only significantly different between EXG and CNG patients aged 60-70 years (%MF, EXG: + 34.6%, CNG: - 20.1%, p < 0.001; ΔMF, EXG: + 44.4 N, CNG: - 22.1 N, p < 0.001). Regarding patients' sex, the change of MF was only significantly different between EXG and CNG female patients (%MF, EXG: + 23.9%, CNG: - 23.6%, p < 0.001). Age and sex did not significantly moderate changes in MF measures after 12 weeks of follow-up. We conclude that both age and sex of haemodialysis patients affect their functional response to IRT in the short term.Trial Registration: Intradialytic Resistance Training in Haemodialysis Patients (IRTHEP)-#NCT03511924, 30/04/2018, https://clinicaltrials.gov/ct2/show/NCT03511924 .
Pandemic management increases the burden on healthcare workers to provide care and also affects their personal lives, with dentists being at particular risk. Therefore, we aim to describe the quality ...of life (QoL) and limitations experienced due to pandemic management-related measures (PanMan), as well as to assess the association of PanMan with QoL during the first lockdown after the coronavirus outbreak. We obtained data from 500 dentists (33.2% males, M/SD = 43.8) registered with the Slovak Chamber of Dentists using an online questionnaire. We categorized PanMan as the availability of personal protective equipment (PPE) and the ability to implement anti-pandemic measures, information overload, pandemic-related limitations and QoL in terms of their impact on family life and activities, housekeeping, relationships with relatives, financial situation and mental well-being. PanMan mainly affected financial situation, mental well-being and housekeeping. Factors contributing most towards the worsening of QoL were information overload (odds ratio/95% confidence interval, OR/CI: 5.79/2.64–12.71) and several pandemic-related limitations. These consisted of (OR/CI): a lack of PPE (5.17/2.48–10.77), infection risks in the work environment (3.06/1.57–5.95), obligatory safety measures (3.02/1.47–6.21), lack of staff (2.85/1.30–6.25) and client concerns (3.56/1.70–7.49). Pandemic management has led to a considerable worsening of dentists’ QoL.
This study examines if mental health problems at age 11 and changes in mental health problems between age 11 and 16 predict educational attainment of adolescents at age 19, overall and stratified by ...gender.
Data from 1711 adolescents (76.8% from initial cohort) of the Tracking Adolescents' Individual Lives Survey (TRAILS), a Dutch prospective cohort study with 9 year follow-up, were used. Mental health problems (externalizing, internalizing and attention problems) were measured by the Youth Self Report and the Child Behavior Checklist at ages 11 and 16. Difference scores for mental health problems between age 11 and 16 were calculated. Educational attainment was assessed at age 19.
Externalizing, internalizing and attention problems at age 11 were significantly associated with low educational attainment at age 19 (crude model). When adjusted for demographic variables and the other mental health problems, only the association for attention problems remained significant (odds ratio (OR), 95% confidence interval: 3.19, 2.11-4.83). Increasing externalizing problems between age 11 and 16 also predicted low educational attainment at age 19 (OR 3.12, 1.83-5.32). Among girls, increasing internalizing problems between age 11 and 16 predicted low educational attainment (OR 2.21, 1.25-3.94). For boys, no significant association was found for increasing internalizing problems and low educational attainment. For increasing attention problems between age 11 and 16 no significant association with low educational attainment was found.
Externalizing, internalizing and attention problems at age 11 and an increase of these problems during adolescence predicted low educational attainment at age 19. Early treatment of these mental health problems may improve educational attainment, and reduce socioeconomic health differences in adulthood.
To evaluate the effects of the population-based, person-centred and integrated care service 'Embrace' at twelve months on three domains comprising health, wellbeing and self-management among ...community-living older people.
Embrace supports older adults to age in place. A multidisciplinary team provides care and support, with intensity depending on the older adults' risk profile. A randomised controlled trial was conducted in fifteen general practices in the Netherlands. Older adults (≥75 years) were included and stratified into three risk profiles: Robust, Frail and Complex care needs, and randomised to Embrace or care as usual (CAU). Outcomes were recorded in three domains. The EuroQol-5D-3L and visual analogue scale, INTERMED for the Elderly Self-Assessment, Groningen Frailty Indicator and Katz-15 were used for the domain 'Health.' The Groningen Well-being Indicator and two quality of life questions measured 'Wellbeing.' The Self-Management Ability Scale and Partners in Health scale for older adults (PIH-OA) were used for 'Self-management.' Primary and secondary outcome measurements differed per risk profile. Data were analysed with multilevel mixed-model techniques using intention-to-treat and complete case analyses, for the whole sample and per risk profile.
1456 eligible older adults participated (49%) and were randomized to Embrace (n(T0) = 747, n(T1) = 570, mean age 80.6 years (SD 4.5), 54.2% female) and CAU (n(T0) = 709, n(T1) = 561, mean age 80.8 years (SD 4.7), 55.6% female). Embrace participants showed a greater-but clinically irrelevant-improvement in self-management (PIH-OA Knowledge subscale effect size ES = 0.14), and a greater-but clinically relevant-deterioration in health (ADL ES = 0.10; physical ADL ES = 0.13) compared to CAU. No differences in change in wellbeing were observed. This picture was also found in the risk profiles. Complete case analyses showed comparable results.
This study found no clear benefits to receiving person-centred and integrated care for twelve months for the domains of health, wellbeing and self-management in community-living older adults.
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