29 research outputs found
Investigating the factorial structure and measurement invariance of the parent-reported Strengths and Difficulties Questionnaire at 11 years old from the UK Millennium Cohort Study
Background: The strengths and difficulties questionnaire (SDQ) consist of five sub-scales that have been used to measure internalising and externalising symptoms in children, typically by combining sum scores of two sub-scales each, and pro-social behaviours. However, the different possible factorial structures that represent these symptoms have not been formally tested in a nationally representative sample of UK children. In addition it is necessary to assess whether the SDQ is interpreted similarly across subgroups of the population.
Methods: Exploratory and confirmatory factor analysis were used to test three competing structures for the parent-reported SDQ collected at age 11, the start of adolescence, in the UK Millennium Cohort Study (n=11,519), and measurement invariance was assessed according to sex and a measure of deprivation of the area in which households lived. Internal consistency using ordinal alpha, internal convergent validity and external discriminant validity using average variance explained (AVE), and predictive validity were assessed.
Results: A five-factor model and a model with two second-order factors for internalising and externalising symptoms had better model fit than a three-factor model. For both structures, invariance was demonstrated across sex and area-level deprivation. AVE scores for the five-factor model indicated that peer and emotional problems factors were measuring a similar construct, as were the hyperactivity and conduct factors. In the second-order model, AVE scores indicated internalising and externalising symptoms were distinct constructs.
Conclusion: A second-order model with two factors for internalising and externalising symptoms is appropriate for use in a cohort of UK children born in 2001/02, and our finding of invariance across sex and area-level deprivation indicate that the SDQ can be used in analysis investigating differences in symptoms across subgroups of the population.</p
Supplementary information files for How are hearing loss and physical activity related? Analysis from the English longitudinal study of ageing
Supplementary files for article How are hearing loss and physical activity related? Analysis from the English longitudinal study of ageingÂ
Although cross-sectional studies suggest that hearing loss in middle- and older-aged adults is associated with lower physical activity, longitudinal evidence is limited. This study aimed to investigate the potential bi-directional association between hearing loss and physical activity over time. Participants were from the English Longitudinal Study of Ageing (N = 11,292) who were 50-years or older at baseline assessment (1998–2000). Individuals were followed-up biannually for up to 20-years (2018–2019) and were classified as ever reporting hearing loss (n = 4946) or not reporting hearing loss (n = 6346). Data were analysed with Cox-proportional hazard ratios and multilevel logistic regression. The results showed that baseline physical activity was not associated with hearing loss over the follow-up. Time (i.e., wave of assessment) by hearing loss interactions showed that physical activity declined more rapidly over time in those with hearing loss, compared to those without (Odds Ratios = 0.94, 95% Confidence Intervals; 0.92–0.96, p < .001). These findings highlight the importance of addressing physical activity in middle- and older-aged adults with hearing loss. As physical activity is a modifiable behaviour that can reduce the risk of developing chronic health conditions, individuals with hearing loss may need additional, tailored support to be more physically active. Mitigating the decline in physical activity could be essential to support healthy ageing for adults with hearing loss.  </p
Supplementary information files for Life course socioeconomic position and DNA methylation age acceleration in mid-life
Supplementary files for article Life course socioeconomic position and DNA methylation age acceleration in mid-life
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Background: Ageing biomarkers can help us better understand how well-established socioeconomic position (SEP) disparities in ageing occur. A promising new set of DNAm methylation (DNAm)-based ageing biomarkers indicate through their age acceleration (AA) measures if biological ageing is slower or faster than chronological ageing. Few studies have investigated the association between SEP and DNAm AA.
Methods: We used linear regression to examine the sex-adjusted relationships between childhood social class, adult social class, intergenerational social class change, education and adult household earnings with first (Horvath AA and Hannum AA) and second generation (PhenoAge AA and GrimAge AA) DNAm AA markers using data from the MRC National Survey of Health and Development.
Results: In the first-generation biomarkers, there was little evidence of any associations with Horvath AA but associations of childhood social class and income with Hannum AA were observed. Strong associations were seen between greater disadvantage in childhood and adult SEP and greater AA in the second generation biomarkers. For example, those with fathers in an unskilled occupational social class in childhood had 3.6 years greater PhenoAge AA (95% CI 1.8 to 5.4) than those with fathers from a professional social class. Individuals without qualifications had higher AA compared with those with higher education (4.1 years greater GrimAge AA (95% CI 3.1 to 5.0)).
Conclusion: Our findings highlight the importance of exposure to social disadvantage in childhood to the biological ageing process. The second generation clocks appear to be more sensitive to the accumulation of social disadvantage across the life course.
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How are hearing loss and physical activity related? Analysis from the English longitudinal study of ageing
Although cross-sectional studies suggest that hearing loss in middle- and older-aged adults is associated with lower physical activity, longitudinal evidence is limited. This study aimed to investigate the potential bi-directional association between hearing loss and physical activity over time. Participants were from the English Longitudinal Study of Ageing (N = 11,292) who were 50-years or older at baseline assessment (1998–2000). Individuals were followed-up biannually for up to 20-years (2018–2019) and were classified as ever reporting hearing loss (n = 4946) or not reporting hearing loss (n = 6346). Data were analysed with Cox-proportional hazard ratios and multilevel logistic regression. The results showed that baseline physical activity was not associated with hearing loss over the follow-up. Time (i.e., wave of assessment) by hearing loss interactions showed that physical activity declined more rapidly over time in those with hearing loss, compared to those without (Odds Ratios = 0.94, 95% Confidence Intervals; 0.92–0.96, p < .001). These findings highlight the importance of addressing physical activity in middle- and older-aged adults with hearing loss. As physical activity is a modifiable behaviour that can reduce the risk of developing chronic health conditions, individuals with hearing loss may need additional, tailored support to be more physically active. Mitigating the decline in physical activity could be essential to support healthy ageing for adults with hearing loss. </p
Area disadvantage and mental health over the life course: a 69-year prospective birth cohort study
Purpose: Existing evidence on the mental health consequences of disadvantaged areas uses cross-sectional or longitudinal studies with short observation periods. The objective of this research was to investigate this association over a 69-year period.
Methods: Data were obtained from the MRC National Survey of Health and Development (NSHD; the British 1946 birth cohort), which consisted of 2125 participants at 69 years. We assessed longitudinal associations between area disadvantage and mental health symptoms at adolescence and adulthood with use of multilevel modelling framework.
Results: After adjustment for father’s social class, for each one percentage increase in area disadvantage at age 4 there was a 0.02 (95% CI: 0.001, 0.04) mean increase in the total score of the neuroticism scale at age 13-15. After adjustment for father’s social class, adult socio-economic position, cognitive ability and educational attainment, a one percentage increase in change score of area disadvantage between age 4 and 26 was associated with a mean increase in the total Psychiatric Symptom Frequency score (MD 0.06; 95% CI: 0.007, 0.11). Similar associations were observed with change scores between ages 4, 53, 60 and total General Health Questionnaire-28 score at age 53 (MD 0.05; 95% CI: 0.01, 0.11) and 60-64 (MD 0.06; 95% CI: 0.009, 0.11).
Conclusions: Cohort members who experienced increasing area disadvantage from childhood were at increased risk of poor mental health over the life course. Population-wide interventions aiming at improving social and physical aspects of the early neighborhood environment could reduce the socio-economic burden of poor mental health.</p
Polygenic and socioeconomic risk for high body mass index: 69 years of follow-up across life
Genetic influences on body mass index (BMI) appear to markedly differ across life, yet existing research is equivocal and limited by a paucity of life course data. We thus used a birth cohort study to investigate differences in association and explained variance in polygenic risk for high BMI across infancy to old age (2–69 years). A secondary aim was to investigate how the association between BMI and a key purported environmental determinant (childhood socioeconomic position) differed across life, and whether this operated independently and/or multiplicatively of genetic influences. Data were from up to 2677 participants in the MRC National Survey of Health and Development, with measured BMI at 12 timepoints from 2–69 years. We used multiple polygenic indices from GWAS of adult and childhood BMI, and investigated their associations with BMI at each age. For polygenic liability to higher adult BMI, the trajectories of effect size (β) and explained variance (R2) diverged: explained variance peaked in early adulthood and plateaued thereafter, while absolute effect sizes increased throughout adulthood. For polygenic liability to higher childhood BMI, explained variance was largest in adolescence and early adulthood; effect sizes were marginally smaller in absolute terms from adolescence to adulthood. All polygenic indices were related to higher variation in BMI; quantile regression analyses showed that effect sizes were sizably larger at the upper end of the BMI distribution. Socioeconomic and polygenic risk for higher BMI across life appear to operate additively; we found little evidence of interaction. Our findings highlight the likely independent influences of polygenic and socioeconomic factors on BMI across life. Despite sizable associations, the BMI variance explained by each plateaued or declined across adulthood while BMI variance itself increased. This is suggestive of the increasing importance of chance (‘non-shared’) environmental influences on BMI across life
Life course socioeconomic position and DNA methylation age acceleration in mid-life
Background: Ageing biomarkers can help us better understand how well-established socioeconomic position (SEP) disparities in ageing occur. A promising new set of DNAm methylation (DNAm)-based ageing biomarkers indicate through their age acceleration (AA) measures if biological ageing is slower or faster than chronological ageing. Few studies have investigated the association between SEP and DNAm AA.
Methods: We used linear regression to examine the sex-adjusted relationships between childhood social class, adult social class, intergenerational social class change, education and adult household earnings with first (Horvath AA and Hannum AA) and second generation (PhenoAge AA and GrimAge AA) DNAm AA markers using data from the MRC National Survey of Health and Development.
Results: In the first-generation biomarkers, there was little evidence of any associations with Horvath AA but associations of childhood social class and income with Hannum AA were observed. Strong associations were seen between greater disadvantage in childhood and adult SEP and greater AA in the second generation biomarkers. For example, those with fathers in an unskilled occupational social class in childhood had 3.6 years greater PhenoAge AA (95% CI 1.8 to 5.4) than those with fathers from a professional social class. Individuals without qualifications had higher AA compared with those with higher education (4.1 years greater GrimAge AA (95% CI 3.1 to 5.0)).
Conclusion: Our findings highlight the importance of exposure to social disadvantage in childhood to the biological ageing process. The second generation clocks appear to be more sensitive to the accumulation of social disadvantage across the life course.</p
Risk factors for natural menopause before the age of 45: evidence from two British population-based birth cohort studies
Background: Menopause that occurs before the age of 45 and is not medically induced (referred to here as ‘early natural menopause’) affects around one in 10 women and has serious health consequences. These consequences include increased risk of all-cause mortality, cardiovascular disease, osteoporosis, and type 2 diabetes.Â
Methods: We investigate risk factors for the onset of natural menopause before the age of 45 in two population-based prospective cohort studies in Britain: the 1958 cohort following 8959 women and the 1970 cohort following 8655 women. These studies follow women from birth to adulthood, and we use harmonized data on birth and early life characteristics, reproductive health, health behaviour, and socioeconomic characteristics for 6805 women who were pre-menopausal, peri-menopausal or had undergone natural menopause. Of these 6805 women, 3614 participated in the 1958 cohort (of which 368 had early menopause) and 3191 participated in the 1970 cohort (of which 206 had early menopause). Taking a life course approach, we focus on three distinct life stages - birth/early life, childhood, and early adulthood - to understand when risk factors are most harmful. Respecting the temporal sequence of exposures, we use a series of multivariable logistic regression models to estimate associations between early menopause and each potential risk factor adjusted for confounders.Â
Results: We find that early menopause is influenced by circumstances at birth. Women born in lower social class families, whose mother smoked during the pregnancy or who were breastfed 1 month or less were more likely to undergo early menopause. Early menopause is also associated with poorer cognitive ability and smoking in childhood. Adult health behaviour also matters. Smoking is positively correlated with early menopause, while regular exercise and moderate frequency of alcohol drinking in women’s early thirties are associated with reduced risk of early menopause. The occurrence of gynaecological problems by women’s early thirties is also linked to early menopause.Â
Conclusions: We demonstrate that characteristics at different periods of life are associated with early menopause. Some of these associations relate to modifiable behaviours and thus the risks of early menopause and the adverse health outcomes associated with it may be preventable.</p
One-legged balance performance and fall risk in mid and later life: longitudinal evidence from a British birth cohort
Introduction: The one-legged balance test is widely used as a fall risk screening tool in both clinical and research settings. Despite rising fall prevalence in midlife, there is little evidence examining balance and fall risk in those aged <65 years. This study investigated the longitudinal associations between one-legged balance and the number of falls between ages 53 and 68 years. Methods: The study included 2,046 individuals from the Medical Research Council National Survey of Health & Development, a British birth cohort study. One-legged balance times (eyes open, maximum: 30 seconds) were assessed at ages 53 years (1999) and 60–64 years (2006–2010). Fall history within the last year (none, 1, ≥2) was self-reported at ages 60–64 years and 68 years (2014). Multinomial logistic regressions assessed the associations between balance and change in balance with subsequent falls. Models adjusted for anthropometric, socioeconomic, behavioral, health status, and cognitive indicators. Analysis occurred between 2019 and 2022. Results: Balance performance was not associated with single falls. Better balance performance at age 53 years was associated with decreased risk of recurrent falls at ages 60–64 years and 68 years, with similar associations between balance at age 60–64 years and recurrent falls at age 68 years. Those with consistently lower balance times (<15 seconds) were at greater risk (RRR=3.33, 95% CI=1.91, 5.80) of recurrent falls at age 68 years in adjusted models than those who could balance for 30 seconds at ages 53 years and 60–64 years. Conclusions: Lower balance and consistently low or declining performance were associated with a greater subsequent risk of recurrent falls. Earlier identification and intervention of those with poor balance ability can help to minimize the risk of recurrent falls in aging adults
Lower respiratory tract infections in early childhood – authors' reply
Authors' reply to correspondence regarding their article.</p