scholarly journals Examining the longitudinal nature of depressive symptoms in the Avon Longitudinal Study of Parents and Children (ALSPAC)

2019 ◽  
Vol 4 ◽  
pp. 126
Author(s):  
Alex S. F. Kwong

Depression during adolescence is associated with a number of negative outcomes in later life. Research has examined the longitudinal nature of adolescent depression in order to identify patterns of depressive mood, the early antecedents and later consequences. However, rich longitudinal data is needed to better address these questions. The Avon Longitudinal Study of Parents and Children (ALSPAC) is an intergenerational birth cohort with nine repeated assessments of depressive symptoms throughout late childhood, adolescence and young adulthood. Depressive symptoms are measured using the Short Mood and Feelings Questionnaire (SMFQ). Many studies have used ALSPAC to examine the longitudinal nature of depressive symptoms in combination with the wealth of early life exposure and later outcome data. This data note provides a summary of the SMFQ data, where the data are stored in ALSPAC, the characteristics and distribution of the SMFQ, and highlights some considerations for researchers wanting to use the SMFQ data in ALSPAC.

2019 ◽  
Vol 4 ◽  
pp. 126
Author(s):  
Alex S. F. Kwong

Depression during adolescence is associated with a number of negative outcomes in later life. Research has examined the longitudinal nature of adolescent depression in order to identify patterns of depressive mood, the early antecedents and later consequences. However, rich longitudinal data is needed to better address these questions. The Avon Longitudinal Study of Parents and Children (ALSPAC) is an intergenerational birth cohort with nine repeated assessments of depressive symptoms throughout late childhood, adolescence and young adulthood. Depressive symptoms are measured using the Short Mood and Feelings Questionnaire (SMFQ). Many studies have used ALSPAC to examine the longitudinal nature of depressive symptoms in combination with the wealth of early life exposure and later outcome data. This data note provides a summary of the SMFQ data, where the data are stored in ALSPAC, the characteristics and distribution of the SMFQ, and highlights some considerations for researchers wanting to use the SMFQ data in ALSPAC.


BJPsych Open ◽  
2021 ◽  
Vol 7 (5) ◽  
Author(s):  
Priya Rajyaguru ◽  
Alex S. F. Kwong ◽  
Elizabeth Braithwaite ◽  
Rebecca M. Pearson

Background The relationships between offspring depression profiles across adolescence and different timings of parental depression during the perinatal period remain unknown. Aims To explore different timings of maternal and paternal perinatal depression in relation to patterns of change in offspring depressive mood over a 14 year period. Method Data were obtained from the Avon Longitudinal Study of Parents and Children (ALSPAC). Parental antenatal depression (ANTD) was assessed at 18 weeks gestation, and postnatal depression (PNTD) at 8 weeks postpartum. Population-averaged trajectories of offspring depressive symptoms were estimated using the Short Mood and Feelings Questionnaire (SMFQ) on nine occasions between 10 and 24 years of age. Results Full data were available for 5029 individuals. Offspring exposed to both timings of maternal depression had higher depressive symptoms across adolescence compared with offspring not exposed to ANTD or PNTD, characterised by higher depressive symptoms at age 16 (7.07 SMFQ points (95% CI = 6.19, 7.95; P < 0.001)) and a greater rate of linear change (0.698 SMFQ points (95% CI = 0.47, 0.93; P = 0.002)). Isolated maternal ANTD and to a lesser extent PNTD were also both associated with higher depressive symptoms at age 16, yet isolated maternal PNTD showed greater evidence for an increased rate of linear change across adolescence. A similar pattern was observed for paternal ANTD and PNTD, although effect sizes were attenuated. Conclusions This study adds to the literature demonstrating that exposure to two timings of maternal depression (ANTD and PNTD) is strongly associated with greater offspring trajectories of depressive symptoms.


2011 ◽  
Vol 198 (1) ◽  
pp. 17-23 ◽  
Author(s):  
Carol Joinson ◽  
Jon Heron ◽  
Glyn Lewis ◽  
Tim Croudace ◽  
Ricardo Araya

BackgroundA growing number of studies suggest a link between timing of menarche and risk of depressive symptoms in adolescence, but few have prospectively examined the emergence of depressive symptoms from late childhood into adolescence.AimsTo examine whether girls who experience earlier menarche than their peers have higher levels of depressive symptoms in adolescence.MethodThe study sample comprised 2184 girls from the Avon Longitudinal Study of Parents and Children. The association between timing of menarche and depressive symptoms at 10.5, 13 and 14 years was examined within a structural equation model.ResultsGirls with early menarche (<11.5 years) had the highest level of depressive symptoms at 13 (P = 0.007) and 14 years (P<0.001) compared with those with normative and late timing of menarche.ConclusionsEarly maturing girls are at increased risk of depressive symptoms in adolescence and could be targeted by programmes aimed at early intervention and prevention.


2007 ◽  
Vol 191 (1) ◽  
pp. 84-85 ◽  
Author(s):  
Jonathan Evans ◽  
Jon Heron ◽  
Roshni R. Patel ◽  
Nicola Wiles

SummaryThere is conflicting evidence regarding the effect of depression during pregnancy on birth weight. We used data from the Avon Longitudinal Study of Parents and Children to investigate whether depressive symptoms during pregnancy in 10 967 women led to low birth weight at term in their offspring. Those with a high depressive symptom score during pregnancy were more likely to have babies of low birth weight (95% CI 1.16–2.40, P < 0.01), but this attenuated after adjustment for confounders (OR = 1.29, 95% CI 0.87–1.91, P = 0.210). Hence there is little evidence of an independent association between depressive symptoms during pregnancy and birth weight.


2018 ◽  
Author(s):  
Alex S. F. Kwong ◽  
David Manley ◽  
Nicholas J. Timpson ◽  
Rebecca M. Pearson ◽  
Jon Heron ◽  
...  

AbstractDepression is a common mental illness associated with increased substance misuse and risk of suicide. Potential risk factors for depression include sex and depressive symptoms in early life, however the mechanisms responsible are not yet understood. Research has focused on late childhood and adolescence as this developmental period may be a modifiable risk factor that prevents or reduces depression at a later stage. It is also important to establish at what ages the level of depression is changing as this will help identify critical points to intervene with treatment. We used multilevel growth-curve models to explore adolescent trajectories of depressive symptoms in the Avon Longitudinal Study of Parents and Children, a UK based pregnancy cohort. Using data from 9301 individuals, trajectories of depressive symptoms were constructed for males and females between 10.6 and 22.8 years old. We calculated the age of peak velocity for depressive symptoms (the age at which depressive symptoms increases most rapidly) and the age of maximum depressive symptoms. Adjusted results suggested that being female was associated with a steeper trajectory compared to being male (per 1 year increase in relation to depressive symptoms: 0.128, SE = 0.035, [95% CI: 0.059, 0.198]; p <0.001). We found evidence suggesting that females had an earlier age of peak velocity of depressive symptoms (females 13.7 years old, SE = 0.321, [95% CI: 12.9, 14.4] and males 16.4 years old, SE = 0.096, [95% CI: 16.2, 16.6]; p <0.001), but weak evidence of an earlier age of maximum depressive symptoms (p = 0.125). Possible mechanisms that underlie this sex difference include the roles of pubertal development and timing. Using multilevel growth curve models to estimate the age of peak velocity and maximum depressive symptoms for different population subgroups may provide useful knowledge for treating and preventing later depression.


2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Yingxin Chen ◽  
Susan Hodgson ◽  
John Gulliver ◽  
Raquel Granell ◽  
A. John Henderson ◽  
...  

Abstract Background Evidence suggests that exposure to particulate matter with aerodynamic diameter less than 10 μm (PM10) is associated with reduced birth weight, but information is limited on the sources of PM10 and exposure misclassification from assigning exposures to place of residence at birth. Methods Trimester and source-specific PM10 exposures (PM10 from road source, local non-road source, and total source) in pregnancy were estimated using dispersion models and a full maternal residential history for 12,020 births from the Avon longitudinal study of parents and children (ALSPAC) cohort in 1990–1992 in the Bristol area. Information on birth outcomes were obtained from birth records. Maternal sociodemographic and lifestyle factors were obtained from questionnaires. We used linear regression models for continuous outcomes (birth weight, head circumference (HC), and birth length (BL) and logistic regression models for binary outcomes (preterm birth (PTB), term low birth weight (TLBW) and small for gestational age (SGA)). Sensitivity analysis was performed using multiple imputation for missing covariate data. Results After adjustment, interquartile range increases in source specific PM10 from traffic were associated with 17 to 18% increased odds of TLBW in all pregnancy periods. We also found odds of TLBW increased by 40% (OR: 1.40, 95%CI: 1.12, 1.75) and odds of SGA increased by 18% (OR: 1.18, 95%CI: 1.05, 1.32) per IQR (6.54 μg/m3) increase of total PM10 exposure in the third trimester. Conclusion This study adds to evidence that maternal PM10 exposures affect birth weight, with particular concern in relation to exposures to PM10 from road transport sources; results for total PM10 suggest greatest effect in the third trimester. Effect size estimates relate to exposures in the 1990s and are higher than those for recent studies – this may relate to reduced exposure misclassification through use of full residential history information, changes in air pollution toxicity over time and/or residual confounding.


Author(s):  
Ieuan Evans ◽  
Jon Heron ◽  
Joseph Murray ◽  
Matthew Hickman ◽  
Gemma Hammerton

Experimental studies support the conventional belief that people behave more aggressively whilst under the influence of alcohol. To examine how these experimental findings manifest in real life situations, this study uses a method for estimating evidence for causality with observational data—‘situational decomposition’ to examine the association between alcohol consumption and crime in young adults from the Avon Longitudinal Study of Parents and Children. Self-report questionnaires were completed at age 24 years to assess typical alcohol consumption and frequency, participation in fighting, shoplifting and vandalism in the previous year, and whether these crimes were committed under the influence of alcohol. Situational decomposition compares the strength of two associations, (1) the total association between alcohol consumption and crime (sober or intoxicated) versus (2) the association between alcohol consumption and crime committed while sober. There was an association between typical alcohol consumption and total crime for fighting [OR (95% CI): 1.47 (1.29, 1.67)], shoplifting [OR (95% CI): 1.25 (1.12, 1.40)], and vandalism [OR (95% CI): 1.33 (1.12, 1.57)]. The associations for both fighting and shoplifting had a small causal component (with the association for sober crime slightly smaller than the association for total crime). However, the association for vandalism had a larger causal component.


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