Search

Purpose: Profiling activity behaviors in young children is important to understand changes in weight status over time. The purpose of this study is to identify activity profiles from self- and parental-reported Physical Activity (PA) and Sedentary Behavior (SB) variables by gender, and determine if the identified profiles are predictive of weight change from age 9-13 years. Methods: Cluster analysis was used to generate activity profiles for the National Longitudinal Study of 8570 9-year-old children (Growing Up in Ireland). Results: 5.4% of boys were found to be obese. Four cohesive activity profiles were identified for boys, with 7.3% of boys in the least active group identified as obese compared with 4.1% in the most active group. The odds of a normal weight 9-year-old boy in the least active profile becoming overweight or obese at age 13 were over twice those in most active profile (OR = 2.5, 95% CI: 1.9, 3.5). No coherent activity profiles were identified for girls. Conclusions: This study suggests that self- and parental-reported data can identify meaningful activity profiles for boys, which are predictive of weight changes over time. Future research should consider potential gender differences in self- and parental-reported PA and SB variables. [ABSTRACT FROM AUTHOR]

Objectives: This study aims to (1) use the objective activPAL activity monitor to assess physical activity behaviors, including sitting/lying, standing, and both light (LIPA) and moderate-to-vigorous physical activity (MVPA); (2) to develop distinct activity profiles based on lime spent in each behavior in a sample of adolescent females; and (3) examine whether levels of adiposity differ across these activity profiles. Methods: Female adolescents (n = 195: 14-18 y) had body mass index (median = 21.7 [IQR = 5.2] kg/m2) and 4-site skinfold thickness (median 62.0 mm; IQR = 37.1) measured. Physical activity behaviors were measured using the activPAL. Hierarchical cluster analysis grouped participants into activity profiles based on similar physical activity characteristics. Linear mixed models explored differences in body composition across activity profiles. Results: Three activity profiles were identified, a low (n = 35), moderate (n = 110), and a high activity profile (n = 50). Significant differences across activity profiles were observed for skinfold thickness (p = .046), with higher values observed in the low activity profile compared with the high activity profile. Conclusions: Profiling free-living activity using behaviors from across the activity intensity continuum may account for more of the variability in energy expenditure then examining specific activity intensities, such as MVPA alone. The use of activity profiles may enable the identification of individuals with unhealthy activity behaviors, leading to the development and implementation of more targeted interventions. [ABSTRACT FROM AUTHOR]

Objective: To identify risk factors for falling for people with Multiple Sclerosis. Design: Prospective cohort study. Setting: Neurology service in a tertiary hospital. Subjects: Participants were 101 people with Multiple Sclerosis and Expanded Disability Status Score of 3-6.5. One participant withdrew after the baseline assessment; data were analysed for 100 participants. Interventions: No intervention. Main measures: Outcome was rate of falls, and predictors were Timed Up and Go, Symbol Digit Modalities test, demographics and 15 self-report questions about various symptoms including fatigue, concentration, dual tasking, bladder and bowel control. Three-month prospective diaries recorded falls. Results: There were 791 falls reported over the 3-month period from a total of 56 fallers. Falls rate per person-year was 32.08 falls. Following multivariable regression analysis, the model with the greatest levels of clinical utility and discriminative ability (sensitivity 88% and area under the receiving operating curve statistic = 0.72, 95% CI 0.62–0.82), included the variables of history of a fall, not having visual problems, problems with bladder control and a slower speed on the Timed Up and Go. Conclusion: This study confirms the high incidence of falls for people with Multiple Sclerosis and provides a risk prediction model including fall history, problems with bladder control, not having visual problems and a slower Timed Up and Go speed that may be used to identify those at greater risk and in need of tailored falls prevention intervention. [ABSTRACT FROM AUTHOR]

Background: Parental incarceration (PI) is associated with adverse developmental outcomes for children affected. However, research in this area often reports conflicting results with few studies following children across time in non‐U.S. populations. Additionally, more research is called for using multi‐informant perspectives rather than relying on adult reports of child outcomes alone. Methods: This study used data from the first two waves of a nationally representative cohort study of 8,568 children aged 9 years and followed up at age 13 living in the Republic of Ireland (2007–2012). Propensity score matching was used to match children who had experienced PI by the age of nine to children who had not experienced PI by sociodemographics and experience of other stressful events. Mental health, as measured by self‐concept (Piers‐Harris II) and externalizing and internalizing difficulties (strength and difficulties questionnaire), was compared across both groups. Results: Fifty of the 8,568 children (weighted percentage 0.9%) reported experiencing PI by the age of nine. These children came from more socially disadvantaged homes and were more likely to have experienced other potentially stressful life events. In comparison to a matched sample of children not affected by PI, children affected by PI reported higher levels of anxiety at age nine. Longitudinal analysis indicated these children affected by PI also reported lower levels of happiness at age 13 with higher levels of emotional difficulties reported by their primary caregiver. Conclusions: Children of incarcerated parents face a greater array of life challenges. PI had an association with child‐reported levels of anxiety at age nine. PI also had a medium‐term association on caregiver assessments of emotional difficulties of children affected as well child‐reported levels of happiness over time. [ABSTRACT FROM AUTHOR]

Objectives  This article prospectively examines the use of ultrasound for antenatal detection of abnormal placental cord insertion (PCI) and compares the antenatal classification with delivered placental classification. Study Design  This prospective cohort study examined 277 singleton pregnancies in a tertiary center. Scans were performed between 10 and 14, 18 and 22, and 32 and 34 weeks where PCI site was identified and its shortest distance to margin measured. Standardized images of delivered placentas were taken and digitally measured. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of antenatal classification compared with delivered placental classification were calculated. Results  Abnormal PCI (distance < 2 cm from margin) was confirmed in 30/277 (11%) placentas at delivery. Note that 102/277 (37%) of PCI sites were classified as abnormal in the first trimester (T1), 43/277 (16%) in the second trimester (T2), and 28/277 (10%) in the third trimester (T3). Sensitivity (73%) and specificity (91%) were highest at T2. The PPVs were low (22% in T1, 51% in T2, and 64% in T3) and the NPVs were high (96% in T1 and 97% in both T2 and T3) for all scans. Conclusion  Abnormal PCI can be detected antenatally with optimal agreement with postnatal classification in T2. However, the incidence is overestimated at early scans with low PPVs. [ABSTRACT FROM AUTHOR]

Objective: Knowledge of outcome in psychotic illness is limited by the paucity of very long-term epidemiologically representative studies of incidence first episode psychosis (FEP) cohorts that measure and compare outcomes reflecting modern clinical practice, mental health policy and research agendas. Our study aimed to address this gap. Method: iHOPE-20 is a prospective 20-year follow-up study of a FEP incidence cohort (N = 171) conducted between 2014 and 2017 in Ireland. Data from previous studies and medical records were used to recruit cohort members. We assessed remission, clinical recovery, personal recovery and resilience at 20 years; explored the relationships between these outcomes and examined the predictive value of baseline characteristics in determining them. Results: At follow-up, 20 out of 171 cohort members (11.70%) were deceased. We assessed 80 out of 151 alive cohort members (53% recruitment rate); 65% were in remission; 35.2% were in Full Functional Recovery and 53.7% confirmed they were fully recovered according to their personal definition of recovery. A complex array of relationships between outcomes was found. Outcomes were better for people who had a short duration of untreated psychosis, displayed higher premorbid social adjustment (between the ages of 5–11) and at baseline, were older, not living alone, in full-time employment, given a non-affective diagnosis, and had lower Global Assessment of Functioning scores. Conclusion: Among participants, full remission of psychotic symptoms and personally defined recovery was not just possible but likely in the very long term. However, attaining positive functional outcomes and building resilience in FEP remain key challenges for mental health services. [ABSTRACT FROM AUTHOR]

Background Recognizing expectations and concerns of patients leads to more specialized management plans and greater adherence to treatment and improves outcomes. Little is known about how age impacts on expectations or concerns regarding pain in patients attending a chronic pain clinic. Methods We prospectively assessed the expectations and concerns of 100 adult patients at their first visit to a pain clinic. Patients reported their expectations and concerns for the clinic visit using a self-completed questionnaire. Categories of concerns and expectations were compared across age groups (≤ 65 years, > 65 years) using the chi-square test and Fisher's exact test. Results Thirty-nine patients (39%) were over 65 years of age (older patients). The most frequently stated site of pain was the lumbar spine for all patients regardless of age. Common concerns of all patients related to sleep and mobility, and the most common expectation related to analgesia. Younger patients were more concerned about employment (23% vs. 3% of older patients, P = 0.005) and social participation (21% vs. 5%, P = 0.03), whereas older patients were more likely to be concerned about mobility (46% vs. 15% of younger patients, P = 0.001). More younger patients expected education on the source of pain than did older patients (23% vs. 3%, P = 0.005), whereas older patients were more likely to be unsure or have no expectations (26% vs. 3%, P = 0.005). Conclusion We found differences in patient expectations and concerns by age of those attending a chronic pain clinic. These differences can inform the communication process between physician and patient on treatment plans and outcomes. [ABSTRACT FROM AUTHOR]

Objectives To prospectively measure the distance from the placental cord insertion (PCI) site to the placental margin using digital imaging and to examine the association between abnormal PCI and adverse pregnancy outcomes in singleton pregnancies. Study Design This prospective cohort study examined 1,005 placentas from consecutively delivered singleton pregnancies in a tertiary center. Standardized images of each placenta were taken and digital measurement was performed using ImageJ software. Results The rates of velamentous (insertion into the membrane) and marginal (<2 cm from placental margin) cord insertions in a total of 1,005 singleton pregnancies were 3.6% (n = 36; 95% confidence interval [CI] = 2.5-4.9%) and 6.4% (n = 64; 95% CI = 4.9-8.1%), respectively. Abnormal PCI was found to be more common among smokers compared with non-smokers (22.7 vs. 14.8%, p = 0.04). Abnormal PCI was found to be significantly associated with small for gestational age (adjusted odds ratio [OR]: 1.73; 95% CI: 1.01 -2.97, p = 0.047) and low birth weight (adjusted OR: 3.87; 95% CI: 1.728.71, p = 0.001). Conclusion Digital imaging analysis using ImageJ software mapped the surface of the placenta and provided objective measurement of PCI site. In this large prospective cohort, abnormal PCIs were significantly associated with an increased risk of small for gestational age and low birth weight. [ABSTRACT FROM AUTHOR]

Background: while a range of variables are related to the impact of pain, most population studies of older persons have simply examined the presence or intensity of pain. Objective: to develop novel pain profiles based on a range of pain variables, and compare demographic and health variables across profiles. Methods: baseline data from The Irish LongituDinal study on Ageing (TILDA), a population-representative cohort study involving 8,171 community living people resident in Ireland aged 50 or over, was used. Two-step cluster analysis was performed on those who reported being often troubled by pain using all self-reported pain variables. Nine demographic and health variables were compared across pain profiles and the no-pain profile. Results: of the cohort, 65% reported not often being troubled by pain. Of those troubled by pain, four profiles emerged ranging from the profile whose pain did not have impact on daily activities (12% of cohort) to the profile with everyone taking medication to control the pain (9% of cohort). All demographic and health variables differed significantly across the profiles (all P < 0.05) with pain profiles reporting significantly greater disability and poorer quality of life than the no-pain profile (P < 0.05). Conclusions: four pain profiles, based on a range of pain variables, as well as a no-pain profile were identifiable in a large sample of older adults. Identifying those (i) with multi-site pain, (ii) who take pain medications and/or (iii) whose pain affects daily activities clearly identifies those with the highest levels of disability and poorest quality of life. [ABSTRACT FROM AUTHOR]

Background: while polypharmacy and multimorbidity predict healthcare utilisation among older people, the influence of differing pain profiles on healthcare utilisation is unclear. Objective: to compare healthcare utilisation between people with different pain profiles. Methods: baseline data from The Irish LongituDinal study on Ageing (TILDA), a population-representative cohort study involving over 8,171 community living people resident in Ireland aged 50 or over, was used. Following the creation of four novel pain profiles, variables relating to healthcare utilisation were compared across the different profiles using chi-square tests and logistic regression. Results: healthcare utilisation differed across the four pain profiles, with pain being an independent predictor of resource use. Pain profiles 3 and 4 had higher use of general practitioner (GP) care and outpatient visits than people with no pain and pain that had less impact. The odds of being a frequent GP attender increased across pain profiles, with those in profile 4 being almost three times as likely to be frequent attenders compared to those with no pain (adjusted odds ratio (OR) = 2.79; 95% CI 2.74, 2.83). People in profile 4 were almost twice as likely to have a hospital outpatient visit compared to people with no pain (adjusted OR = 1.75; 95% 1.73, 1.78). Conclusions: healthcare utilisation differed between the four pain profiles, with people in profiles 3 and 4 having greater usage of primary and secondary healthcare resources. Pain profile membership was a significant independent predictor of the utilisation of GP care and hospital outpatient visits. [ABSTRACT FROM AUTHOR]

Objectives: To examine the relationship between maternal self-reported and measured height and weight, maternal perceived weight status and measured body mass index (BMI), and maternal perceived child weight status and measured child BMI.Setting and Design: Population-representative National Longitudinal Study of Children Growing Up in Ireland.Methods: Height and weight of 7655 mothers and their 9-year-old children were objectively measured using standard measurement techniques. Mothers' perceptions of their own weight status and the weight status of their child were reported. The association between accurate perceptions of the mother for herself and her child was tested.Results: Mothers overestimated their height by a mean of 0.5 cm (SD=2.9), underestimated their weight by a mean of 1.4 kg (SD=3.8), consequently underestimating their BMI by a mean of 0.6 kg/m(2) (SD=1.7). The majority (60%) of obese mothers correctly categorised their own weight status. Only 17% of mothers of obese children correctly categorised the weight status of their child. Overweight/obese mothers who correctly categorised their own weight status were more likely to correctly categorise their overweight/obese child compared with those who incorrectly categorised their own weight status (44% vs 23%, 95% CI for difference 13% to 28%, p<0.001 for girls; 37% vs 27%, 95% CI 2% to 18%, p=0.02 for boys; significantly greater difference for girls compared with boys, p=0.04).Conclusions: Maternal perceptions of their own weight status tend to be more accurate than maternal perceptions of their overweight or obese child. Overweight/obese mothers who correctly categorised their own weight status were more likely to correctly categorise their overweight/obese child. [ABSTRACT FROM AUTHOR]

The aim of this study was to identify, using cluster analysis, novel sleep phenotypes in a population based cohort of infants, and to explore the associations between infant sleep profiles and their mothers' health and well-being. 11,134 mothers of 9-month old infants were interviewed as part of the Growing Up in Ireland National Longitudinal study and reported on their health and infant's sleep patterns. 16 infant sleep variables were recorded together with measures of parental stress, depression, health and well-being. Multiple iterations of a two-step hierarchical cluster analysis were carried out to identify the optimum number of clusters and the subset of parental-reported sleep variables required to identify distinct sleep profiles. Four distinct sleep profiles were identified based on the following variables; (1) infant sleep duration at night, (2) parental sleep duration, (3) does baby wake during night (yes, no)? (4) Usual sleep location for most of the night and, (5) parental reporting of problem infant sleep patterns. This identified two less favorable profiles with both infants and mothers sleeping less and where mothers are more likely to report their infants' sleep patterns as problematic. Mothers of infants belonging to these sleep profiles were more likely to have higher levels of stress, depressive symptoms, and poorer self-reported health than other sleep profiles. Breastfeeding was associated with both groups and rates were highest in a group of infants that were more likely to co-sleep with their parents and have diverse ethnic backgrounds. This study demonstrates, for the first time, two infant sleep profiles with distinct phenotypical frameworks that are significantly associated with maternal stress, depression, and poorer self-report of health. [ABSTRACT FROM AUTHOR]

Pain significantly restricts the quality of life and well-being of older adults. With our increasingly ageing population, it is important to examine whether differing classes of biopsychosocial risk factors can predict the development of pain in older adults. Latent class analysis provides a model-based approach to identifying underlying subgroups in a population, based on some measured characteristics. In this study, latent class analysis was used to identify biopsychosocial risk classes in people aged 50 years and older, from The Irish Longitudinal Study on Ageing, who reported not often being troubled by pain at wave 1 and completed the 2-year follow-up at wave 2 (n = 4458). Four classes were identified based on 11 potential risk factors at wave 1. These classes were characterised as "Low Risk," "Physical Health Risk," "Mental Health Risk," and "High Risk." The Low-Risk class accounted for over half the sample (51.2%), whereas the High-Risk class represented 7.8% of the sample. At follow-up (wave 2), 797 (17.9%) participants reported being troubled by pain. Associations between the biopsychosocial risk classes and developing pain were examined using logistic regression, adjusting for sociodemographic variables. The High-Risk class was more likely to develop pain compared with the Low-Risk class (adjusted OR = 3.16, 95% CI = 2.40-4.16). These results add to existing data in other populations supporting the role of a range of biopsychosocial risk factors that increase the risk of developing pain. These findings have important implications for the identification, and potential moderation, of these risk factors. [ABSTRACT FROM AUTHOR]