Religious/spiritual beliefs and behaviours (RSBB) have been associated with health outcomes, with diet a potential mediator of this relationship. We therefore explored whether RSBBs were associated with differences in diet.

Dietary patterns and nutrient intakes were derived from food frequency questionnaires completed by pregnant women in 1991-1992 (mean age=28.3 years, range=15-46), and by the mothers and partners 4 years post-partum (mothers mean age=32.3, range=19-49; partners mean age=34.5, range=18-74). RSBB exposures measured in pregnancy included religious belief, affiliation and attendance. We first explored whether RSBBs were associated with dietary patterns in confounder-adjusted linear regression models. If associations were found, we examined whether RSBBs were associated with nutrient intake (linear regression) and following nutrient intake guidelines (logistic regression).

Prospective birth cohort study in Southwest England (Avon Longitudinal Study of Parents and Children; ALSPAC).

13,689 enrolled mothers and their associated partners.

In pregnant women, RSBBs were associated with higher “traditional” (i.e., ‘meat and two veg’) and lower “vegetarian” dietary pattern scores. Religious attendance and non-Christian religious affiliation were associated with higher “health-conscious” dietary pattern scores. Religious attendance was associated with increased micronutrient intake and following recommended micronutrient intake guidelines, with weaker effects for religious belief and affiliation. Comparable patterns were observed for mothers and partners 4 years post-partum, although associations between RSBBs and nutrient intakes were weaker for partners.

RSBBs are associated with broad dietary patterns and nutrient intake in this cohort. If these reflect causal relationships, diet may potentially mediate the pathway between RSBB and health.

To examine the relationship between a posteriori dietary patterns in early childhood and alcohol consumption in adolescence.

Data were obtained from the Avon Longitudinal Study of Parents and Children (ALSPAC) prospective cohort study. Dietary information was obtained using FFQ at the age of 3 and 7 years. The association between dietary patterns, derived using principal components analysis and the Alcohol Use Disorders Identification Test (AUDIT) scores (to assess harmful intake) and frequency of alcohol consumption at the age of 17 years were examined. Secondary analysis considered sugar intake as a percentage of total energy intake.

Women who gave birth between 1 April 1991 and 31 December 1992 in the Avon area in southwest England were eligible for the ALSPAC cohort study.

Totally, 14 541 pregnancies were enrolled in ALSPAC during its initial recruitment phase. For this analysis, complete data were available for between 3148 and 3520 participants.

Adherence to the ‘healthy’ dietary pattern at both 3 and 7 years of age was positively associated with consuming more than one alcoholic drink per week at 17 years of age, whilst adherence to the ‘traditional’ dietary pattern at both ages was protective of harmful alcohol intake at 17 years of age. Sugar intake was not associated with either alcohol outcome after adjustment for ethnicity, maternal level of education, parental social class and maternal AUDIT score.

For the population studied, changes to diet in early childhood are unlikely to have an impact on harmful alcohol use in adolescence given the lack of consistency across the results.

The COVID-19 pandemic and mitigation measures are likely to have a marked effect on mental health. It is important to use longitudinal data to improve inferences.

To quantify the prevalence of depression, anxiety and mental well-being before and during the COVID-19 pandemic. Also, to identify groups at risk of depression and/or anxiety during the pandemic.

Data were from the Avon Longitudinal Study of Parents and Children (ALSPAC) index generation (n = 2850, mean age 28 years) and parent generation (n = 3720, mean age 59 years), and Generation Scotland (n = 4233, mean age 59 years). Depression was measured with the Short Mood and Feelings Questionnaire in ALSPAC and the Patient Health Questionnaire-9 in Generation Scotland. Anxiety and mental well-being were measured with the Generalised Anxiety Disorder Assessment-7 and the Short Warwick Edinburgh Mental Wellbeing Scale.

Depression during the pandemic was similar to pre-pandemic levels in the ALSPAC index generation, but those experiencing anxiety had almost doubled, at 24% (95% CI 23–26%) compared with a pre-pandemic level of 13% (95% CI 12–14%). In both studies, anxiety and depression during the pandemic was greater in younger members, women, those with pre-existing mental/physical health conditions and individuals in socioeconomic adversity, even when controlling for pre-pandemic anxiety and depression.

These results provide evidence for increased anxiety in young people that is coincident with the pandemic. Specific groups are at elevated risk of depression and anxiety during the COVID-19 pandemic. This is important for planning current mental health provisions and for long-term impact beyond this pandemic.

There is evidence to suggest that individual components of dietary intake are associated with depressive symptoms. Studying the whole diet, through dietary patterns, has become popular as a way of overcoming intercorrelations between individual dietary components; however, there are conflicting results regarding associations between dietary patterns and depressive symptoms. We examined the associations between dietary patterns extracted using principal component analysis and depressive symptoms, taking account of potential temporal relationships.

Depressive symptoms in parents were assessed using the Edinburgh Postnatal Depression Scale (EPDS) when the study child was 3 and 5 years of age. Scores >12 were considered indicative of the presence of clinical depressive symptoms. Diet was assessed via FFQ when the study child was 4 years of age.

Longitudinal population-based birth cohort.

Mothers and fathers taking part in the Avon Longitudinal Study of Parents and Children when their study child was 3–5 years old.

Unadjusted results suggested that increased scores on the ‘processed’ and ‘vegetarian’ patterns in women and the ‘semi-vegetarian’ pattern in men were associated with having EPDS scores ≥13. However, after adjustment for confounders all results were attenuated. This was the case for all those with available data and when considering a sub-sample who were ‘disease free’ at baseline.

We found no association between dietary patterns and depressive symptoms after taking account of potential confounding factors and the potential temporal relationship between them. This suggests that previous studies reporting positive associations may have suffered from reverse causality and/or residual confounding.

To investigate the prospective associations between dietary patterns in childhood and CVD risk in adolescence.

Prospective cohort study. Exposures were dietary patterns at age 7, 10 and 13 years derived by cluster analysis. Outcomes were physiological and biochemical cardiovascular risk markers.

Avon Longitudinal Study of Parents and Children (ALSPAC), UK.

Children (n 2311, 44.1 % male) with complete data available.

After adjustment for known confounders, we observed an association between being in the ‘Processed’ and ‘Packed lunch’ dietary pattern clusters at age 7 and BMI at age 17. Compared with the ‘healthy’ cluster, the OR (95 % CI) for being in the top 10 % for BMI was 1·60 (1·01, 2·55; P=0·05) for the ‘Processed’ cluster and 1·96 (1·22, 3·13; P=0·005) for the ‘Packed lunch’ cluster. However, no association was observed between BMI and dietary patterns at age 10 and 13. Longitudinal analyses showed that being in either the ‘Processed’ or ‘Packed lunch’ cluster at age 7 was associated with increased risk of being in the top 10 % for BMI regardless of subsequent cluster membership. No associations between other cardiovascular risk measures and dietary patterns were robust to adjustment for confounders.

We did not find any consistent evidence to support an association between dietary patterns in childhood and cardiovascular risk factors in adolescence, with the exception of BMI and dietary pattern at age 7 only. However, the importance of dietary intake in childhood upon health later in life requires further investigation and we would encourage the adoption of a healthy diet as early in life as possible.

Despite differences in obesity and ill health between urban and rural areas in the UK being well documented, very little is known about differences in dietary patterns across these areas. The present study aimed to examine whether urban/rural status is associated with dietary patterns in a population-based UK cohort study of children.

Dietary patterns were obtained using principal components analysis and cluster analysis of 3 d diet records collected from children at 10 years of age. Rurality was obtained from the 2001 UK Census urban/rural indicator at the time of dietary assessment. General linear models were used to examine the relationship between rurality and dietary pattern scores from principal components analysis; multinomial logistic regression was used to assess the association between rurality and dietary clusters.

The Avon Longitudinal Study of Parents and Children (ALSPAC), South West England.

Children (n 5677) aged 10 years (2817 boys and 2860 girls).

After adjustment, increases in rurality were associated with increased scores on the ‘health awareness’ dietary pattern (β=0·35; 95 % CI 0·14, 0·56; P<0·001 for the most rural compared with the most urban group) and lower scores on the ‘packed lunch/snack’ dietary pattern (β=−0·39; 95 % CI −0·59, −0·19; P<0·001 for the most rural compared with the most urban group). The odds ratio for participants being in the ‘healthy’ compared with the ‘processed’ dietary cluster for the most rural areas was 1·61 (95 % CI 1·05, 2·49; P=0·02) compared with those in the most urban areas.

There is evidence to suggest that differences exist in dietary patterns between rural and urban areas. Similar results were found using two different methods of dietary pattern analysis, showing that children residing in rural households were more likely to consume healthier diets than those in urban households.

To derive dietary patterns using principal components analysis from separate FFQ completed by mothers and their teenagers and to assess associations with nutrient intakes and sociodemographic variables.

Two distinct FFQ were completed by 13-year-olds and their mothers, with some overlap in the foods covered. A combined data set was obtained.

Avon Longitudinal Study of Parents and Children (ALSPAC), Bristol, UK.

Teenagers (n 5334) with adequate dietary data.

Four patterns were obtained using principal components analysis: a ‘Traditional/health-conscious’ pattern, a ‘Processed’ pattern, a ‘Snacks/sugared drinks’ pattern and a ‘Vegetarian’ pattern. The ‘Traditional/health-conscious’ pattern was the most nutrient-rich, having high positive correlations with many nutrients. The ‘Processed’ and ‘Snacks/sugared drinks’ patterns showed little association with important nutrients but were positively associated with energy, fats and sugars. There were clear gender and sociodemographic differences across the patterns. Lower scores were seen on the ‘Traditional/health conscious’ and ‘Vegetarian’ patterns in males and in those with younger and less educated mothers. Higher scores were seen on the ‘Traditional/health-conscious’ and ‘Vegetarian’ patterns in girls and in those whose mothers had higher levels of education.

It is important to establish healthy eating patterns by the teenage years. However, this is a time when it is difficult to accurately establish dietary intake from a single source, since teenagers consume increasing amounts of foods outside the home. Further dietary pattern studies should focus on teenagers and the source of dietary data collection merits consideration.

To examine how the dietary patterns of children at various time points throughout childhood relate to estimated nutrient intakes.

FFQ at 3, 4, 7 and 9 years of age were completed by mothers. Dietary patterns were identified cross-sectionally using principal component analysis; ‘processed’, ‘health conscious’ and ‘traditional’ patterns were consistently obtained. Correlations between pattern scores and nutrient intakes and proportions of variance in nutrients explained by the patterns were calculated.

Avon Longitudinal Study of Parents and Children (ALSPAC), Bristol, UK.

Children provided data between 3 and 9 years of age (n 8010 to 10 023).

Dietary patterns explained substantial proportions of the variance of the absolute intake for most nutrients (>25 % at 3 years of age, >40 % other ages). After energy adjustment, protein, fibre, K, Mg, Fe, Zn, folate, thiamin and vitamin B6 continued to be well explained. Strong correlations were observed between the ‘processed’ pattern and macronutrients including energy (r = 0·481–0·619), total fat (r = 0·529–0·662) and total sugar (r = 0·475–0·693). However correlations with most micronutrients were reversed after energy adjustment, suggesting that the ‘processed’ pattern is energy-dense but nutrient-poor. The ‘health conscious’ and ‘traditional’ patterns were strongly positively correlated with protein, fibre and most micronutrients, whether energy adjusted or not. Higher scores on these patterns were associated with a better nutrient profile.

Dietary patterns explain a reasonable amount of the variation in the nutrient content of diets. Higher scores on the ‘health conscious’ and ‘traditional’ dietary patterns were related to better nutrient profiles; conversely, with higher scores on the ‘processed’ pattern the nutrient profile was poorer.

To investigate associations between dietary intakes throughout childhood and age at menarche, a possible indicator of future risk of disease, in a contemporary cohort of British girls.

Diet was assessed by FFQ at 3 and 7 years of age, and by a 3 d unweighed food diary at 10 years. Age at menarche was categorised as before or after 12 years 8 months, a point close to the median age in this cohort.

Bristol, South-West England.

Girls (n 3298) participating in the Avon Longitudinal Study of Parents and Children.

Higher energy intakes at 10 years were positively associated with the early occurrence of menarche, but this association was removed on adjusting for body size. Total and animal protein intakes at 3 and 7 years were positively associated with age at menarche ≤12 years 8 months (adjusted OR for a 1 sd increase in protein at 7 years: 1·14 (95 % CI 1·04, 1·26)). Higher PUFA intakes at 3 and 7 years were also positively associated with early occurrence of menarche. Meat intake at 3 and 7 years was strongly positively associated with reaching menarche by 12 years 8 months (OR for menarche in the highest v. lowest category of meat consumption at 7 years: 1·75 (95 % CI 1·25, 2·44)).

These data suggest that higher intakes of protein and meat in early to mid-childhood may lead to earlier menarche. This may have implications for the lifetime risk of breast cancer and osteoporosis.