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Intake of B vitamins in childhood and adult life in relation to psychological distress among women in a British birth cohort

Published online by Cambridge University Press:  01 February 2009

Gita D Mishra*
Affiliation:
MRC National Survey of Health and Development, Royal Free and University, College Medical School, 1-19 Torrington Place, London WC1E 6BT, UK
Sarah A McNaughton
Affiliation:
MRC Human Nutrition Research, Elsie Widdowson Laboratory, Cambridge, UK
Maria A O’Connell
Affiliation:
MRC Human Nutrition Research, Elsie Widdowson Laboratory, Cambridge, UK
Celia J Prynne
Affiliation:
MRC Human Nutrition Research, Elsie Widdowson Laboratory, Cambridge, UK
Diana Kuh
Affiliation:
MRC National Survey of Health and Development, Royal Free and University, College Medical School, 1-19 Torrington Place, London WC1E 6BT, UK
*
*Corresponding author: Email g.mishra@nshd.mrc.ac.uk
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Abstract

Background

Lower levels of B vitamins (particularly folate, vitamin B12 and vitamin B6) may be associated with psychological distress. Little is known about the impact of childhood nutrition on psychological distress in adult life.

Objective

We investigated whether prospectively measured childhood and adult dietary intakes of thiamin, riboflavin, niacin, folate, vitamin B6 and vitamin B12 were related to the psychological distress of women in mid-age, taking into account socio-economic, behavioural and lifestyle factors.

Design

Prospective data were collected from a cohort of 636 British women followed up since their birth in 1946. Participants completed a 28-item, scaled version of the General Health Questionnaire (GHQ-28) to measure psychological distress at age 53 years. Dietary intakes in childhood (at age four) were determined by 24h recall and in adulthood (at age 36, 43 and 53 years) by a 5d food record.

Results

Low dietary vitamin B12 intake at age 53 was associated with higher psychological distress at that age. Women in the lowest third of vitamin B12 intake in adulthood had a higher GHQ-28 score compared with those in the highest third (percentage change, adjusted regression coefficient, 21 (95% CI 3, 39)). There were no other significant associations between dietary B vitamin intake in childhood or adulthood and psychological distress in the cohort.

Conclusions

Overall, there is evidence that intake of vitamin B12 at age 53 is related to adult psychological distress but there is no evidence for the effects of other adult B vitamin intakes or childhood intakes on psychological distress.

Type
Research Paper
Copyright
Copyright © The Author 2008

By 2020 depression will rank second in the global burden of disease, measured in terms of ‘disability-adjusted life years’(Reference Murray and Lopez1). In Britain the lifetime prevalence of major depressive disorder in women is estimated at around 10–20 % and through the reproductive years they are roughly twice as likely to experience depression as men(Reference Maughan2).

Diet is modifiable and may impact on aspects of psychological distress, such as anxiety, depression, etc. In free-living populations, cross-sectional studies have found that low vitamin B12, vitamin B6 and folate status are risk factors for depression or psychological distress(Reference Penninx, Guralnik, Ferrucci, Fried, Allen and Stabler3Reference Shor-Posner, Feaster, Blaney, Rocca, Mantero-Atienza, Szapocznik, Eisdorfer, Goodkin and Baum8). In addition, deficiency or low levels of riboflavin, vitamin B12, vitamin B6 and folate have been reported in depressive patients(Reference Baldewicz, Goodkin, Blaney, Shor-Posner, Kumar, Wilkie, Baum and Eisdorfer5, Reference Bell, Edman, Morrow, Marby, Mirages, Perrone, Kayne and Cole9Reference Merry, Abou-Saleh and Coppen13). Furthermore, high vitamin B12 and folate status have been linked with a better response to antidepressants in patients with depression(Reference Fava, Borus, Alpert, Nierenberg, Rosenbaum and Bottiglieri12, Reference Hintikka, Tolmunen, Tanskanen and Viinamaki14Reference Wesson, Levitt and Joffe16). Clinical studies also support the role of B vitamins in mental health. In a study of women taking a multi-vitamin supplement for 1 year, riboflavin and thiamin status were associated with improved mood(Reference Benton, Haller and Fordy17). Vitamin B6 supplementation has also been reported to improve both general mood and mood disturbances related to premenstrual syndrome in women(Reference Benton, Haller and Fordy17, Reference Doll, Brown, Thurston and Vessey18).

In these studies, the effect of certain dietary components on psychological distress have been tested in cross-sectional(Reference Penninx, Guralnik, Ferrucci, Fried, Allen and Stabler3Reference Shor-Posner, Feaster, Blaney, Rocca, Mantero-Atienza, Szapocznik, Eisdorfer, Goodkin and Baum8) or in clinical trials(Reference Benton, Haller and Fordy17, Reference Doll, Brown, Thurston and Vessey18) where the dose is additional to the normal dietary intake and higher than the recommended intake. Short-term studies are unable to examine the long-term and cumulative effects of nutrition over the whole life course. To date, little is known about the impact of childhood nutrition and long-term adult nutrition on adult depression or other aspects of adult psychological distress.

Potential biological mechanisms for the role of B vitamins in mental health involve deficits of serotonin and other neurotransmitters(Reference Hindmarch19), syntheses of which are dependent on folate, vitamin B12 and vitamin B6 as coenzymes in the one-carbon metabolism pathways(Reference Malouf, Grimley and Areosa20, Reference Malouf and Areosa Sastre21). Hyperhomocysteinaemia has been shown to be associated with depression but it is still unclear whether this is primarily as a marker of disrupted one-carbon metabolism due to deficiencies of folate, vitamin B12 and B6, or whether homocysteine has independent, detrimental effects(Reference Wolters, Strohle and Hahn22), such as excitotoxic effects in the central nervous system(Reference Alpert, Silva and Pouget23).

The MRC National Survey of Health and Development (NSHD) is a population-based birth cohort study(Reference Wadsworth, Butterworth, Hardy, Kuh, Richards, Langenberg, Hilder and Connor24) that provides a unique opportunity to investigate whether prospectively measured childhood and adult nutrition is related to women’s psychological distress at age 53. The present paper explores associations between the dietary intake of B vitamins (specifically thiamin, riboflavin, niacin, folate, vitamin B6 and vitamin B12), either in childhood or in adulthood, and the risk of high psychological distress in women in mid-life, while adjusting for socio-economic circumstances and lifestyle factors.

Methods

The MRC NSHD, also known as the 1946 British birth cohort, is a longitudinal study of health based on a social class-stratified, random sample of 5362 singleton births to married women in England, Scotland or Wales during the first week of March, 1946. The cohort has been followed up 20 times since their birth in 1946 until 1999 when they were aged 53 years(Reference Wadsworth, Butterworth, Hardy, Kuh, Richards, Langenberg, Hilder and Connor24). By that age, 6 % of the original cohort of women (n 2547) had died (n 154), 9 % were living abroad (n 232), 12 % had refused to participate (n 296) and 3 % could not be traced (n 87). In most respects, those interviewed at 53 years were still representative of the native-born population at that age(Reference Wadsworth, Butterworth, Hardy, Kuh, Richards, Langenberg, Hilder and Connor24). This analysis is based on the 636 women who provided both dietary data at all time points (ages 4, 36, 43 and 53 years) and a valid General Health Questionnaire (GHQ) score.

Outcome measure

At the age of 53, cohort members were asked to complete the 28-item scaled version of the GHQ (GHQ-28). This is a widely used validated instrument that measures psychological distress through a range of items, such as symptoms of anxiety, depression and somatic problems(Reference Rijsdijk, Snieder, Ormel, Sham, Goldberg and Spector25, Reference Goldberg26). The items covered are given in abbreviated form in the Appendix and the total GHQ score was calculated using standard procedures(Reference Rijsdijk, Snieder, Ormel, Sham, Goldberg and Spector25, Reference Goldberg26). The items were rated as either present or absent using the standard 0-0-1-1 coding of Likert responses. These were then summed to produce total scores ranging from 0 (lowest psychological distress) to 28 (highest psychological distress) and used in the analysis as a continuous variable. A total GHQ-28 score of greater than 4 has a sensitivity and specificity of over 84 % for detecting psychiatric disorders(Reference Goldberg and Hillier27, Reference Willmott, Boardman, Henshaw and Jones28).

Dietary exposure

Dietary data were collected by local health visitors during home visits at age 4 years (in 1950) and by research nurses at ages 36, 43 and 53 years (in 1982, 1989 and 1999, respectively). At age 4 years, a 24h recall of all meals was obtained at interview from the child’s carer, usually the mother(Reference Prynne, Paul, Price, Day, Hilder and Wadsworth29). At ages 36, 43 and 53 years, participants were asked to complete a 5d food diary(Reference Price, Paul, Key, Harter, Cole and Day30). All food and beverages consumed both at home and away from home were recorded in the diaries including brand names of food products, food preparation methods and recipes used. Participants were asked to record the amount eaten in household measures with guidance notes and photographs provided at the beginning of the diary to assist in the estimation of portion size(Reference Prynne, Paul, Mishra, Greenberg and Wadsworth31).

Food and nutrient intakes were calculated using the in-house software based on McCance and Widdowson’s The Composition of Foods at MRC Human Nutrition Research in Cambridge(Reference Prynne, Paul, Price, Day, Hilder and Wadsworth29, Reference Prynne, Paul, Mishra, Greenberg and Wadsworth31Reference Holland, Unwin and Buss34). Period- and age-specific food portion sizes and nutrient databases were used(Reference Prynne, Paul, Price, Day, Hilder and Wadsworth29, Reference Prynne, Paul, Mishra, Greenberg and Wadsworth31). Detailed descriptions of the process of calculating food and nutrient intakes at each age are provided elsewhere(Reference Prynne, Paul, Price, Day, Hilder and Wadsworth29Reference Prynne, Paul, Mishra, Greenberg and Wadsworth31, Reference Braddon, Wadsworth, Davies and Cripps35). In order to ensure that the hypothesised effects in mental health were not confounded by total energy intake, intakes of the individual B vitamins were adjusted for energy intake using the nutrient density method calculated by dividing nutrient intake by total energy (per MJ)(Reference Willett and Stampfer36) and were categorised into thirds.

Covariates

Since differences in psychological distress across the various groups of nutrient intakes may be explained by other factors, the model included the following covariates: childhood socio-economic circumstances, adult social class and education, behavioural and lifestyle factors (alcohol, physical activity and smoking) and BMI.

Measures of childhood socio-economic circumstances were based on data collected when participants were aged 4 years. The following three measures were used: (i) father’s occupational social class (I and II, III non-manual; III manual and IV and V); (ii) housing tenure (lived in council housing v. all other tenures); and (iii) overcrowding (two or more people per room v. others) (Registrar General 1961). Adult social class was based on women’s own occupation (I and II, III non-manual; III manual and IV and V)(37). Highest educational qualifications attained by age 26 years were defined as follows: degree level (university degree or their training equivalents); advanced level (‘A’-levels, usually attained at the age of 18 years, or their equivalents), ordinary qualifications (‘O’-levels, usually attained at the age of 16 years, or their equivalents); and no qualifications.

Average alcohol consumption was obtained from the 5d food diaries over the three adult time points and expressed as average daily consumption of alcoholic beverages in grams and classified into thirds. Physical activity was defined at age 53 according to the self-reported frequency of participation in sport or vigorous activity during the previous 4 weeks (none, 1–4 times per month, more than 4 times per month). Smoking status at age 53 was categorised as non-smokers, past smokers and current smokers. Height and weight were measured according to standardised protocols and used to calculate BMI (weight in kg/height2 in m2). Due to low numbers in the underweight category (BMI < 20·0kg/m2, n 37), women were classified according to their BMI as of underweight or healthy weight (<25·0kg/m2), overweight (25·1–30·0kg/m2) or obese (>30·0kg/m2).

Statistical analysis

The percentage of women meeting the reference nutrient intakes (RNI) value in childhood and adulthood was calculated using RNI values for the UK(38). ANOVA was used to identify associations between the GHQ-28 scores and intake of each of the B vitamins in childhood and adulthood. Univariate analyses (ANOVA or χ 2) were used to identify aspects of childhood socio-economic circumstances, adult social class and lifestyle variables that were associated with both psychological distress and dietary B vitamins, in order to establish their role as confounding variables. Variables that were associated with psychological distress (at the 10 % level) and dietary B vitamin intake were included in the multiple regression models to identify those who remained significant after mutual adjustment. Separate models were developed for each B vitamin as relevant. Adjusted betas and 95 % confidence intervals were estimated for psychological distress using multiple regression, with the highest third of each of the B vitamins intake chosen as the reference category.

The natural logarithm of psychological distress scores (×100) was calculated prior to analysis to reduce the right skewness of the distribution. Therefore the regression coefficients in these models can be interpreted in units of symmetric percentage differences in GHQ-28 scores between each third of the B vitamin and the reference category(Reference Cole39).

The possible influence of low-energy reporting on the relationships between B vitamin intake and psychological distress was investigated by repeating the analysis and including the ratio of energy intake to calculated basal metabolic rate (EI:BMR) in the statistical models(Reference Goldberg, Black, Jebb, Cole, Murgatroyd, Coward and Prentice40).

Results

Responses to the GHQ-28 reveal that 25 % of women at age 53 years were in a psychologically distressed state, as indicated by a score greater than 4(Reference Goldberg and Hillier27), and 9 % of the women had a GHQ-28 score of 10 or more (Table 1). A higher percentage of the participants were in non-manual occupations (class I, II and II non-manual) compared with their fathers (Table 1). When participants were 4-years old in 1950, the percentage meeting the 1991 RNI for B vitamins varied from as low as 6.4 % for niacin to almost all children (99.1 %) for vitamin B12 (Table 2). Slightly over a quarter of the children met the RNI for vitamin B6 while around half of them met the RNI for thiamin. At least three-quarters of the children met the RNI for folate and riboflavin. During adulthood, over 90 % of the women met RNI for all the B vitamins with the exception of folate where only 72 % met the RNI (Table 2).

Table 1 Characteristics of the sample (n 636)

*Data are percentages unless otherwise stated.

Table 2 Mean, standard deviation and median dietary B vitamin intake and percentage of subjects meeting the 1991 reference nutrient intakes (RNI) among 636 womenFootnote *

* Dietary intake was assessed by 24h recall in childhood and by 5d food diary in adulthood.

RNI for 4–6-year-olds(38).

RNI for 19–50-year-olds(38).

Two of the six B vitamins investigated in childhood were inversely associated with psychological distress. Women who were in the lowest third of childhood intake of thiamin and vitamin B6 had higher adult psychological distress than those in the highest third of intakes (Table 3). However, these relationships disappeared when adjusted for the confounder smoking status in the case of thiamin, and father’s social class in the case of vitamin B6 (percentage difference, adjusted regression coefficient: for thiamine, 14 (95% CI −2, 29) in lowest third of intake v. 11 (95% CI −5, 27) in middle third of intake, P=0.2; for vitamin B6, 7 (95 % CI −6, 20) in lowest third of intake v. −5 (−13, 12) in highest third of intake, P=0·4).

Table 3 Unadjusted percentage difference (95 % confidence intervals) in General Health Questionnaire scores (GHQ-28) at age 53 years by thirds of dietary vitamin B intake (per MJ) during childhood and adult life (n 636 women)Footnote *

* 636 women provided both dietary data and a valid GHQ score.

P value from regression analysis test for heterogeneity among the intake of dietary vitamin B group.

Only intake of vitamin B12 at age 53 was significantly associated with psychological distress, with women in the lowest third of vitamin B12 intake having higher GHQ-28 scores than those in the highest third (Table 3). Of all socio-economic circumstances and lifestyle factors investigated, only BMI and physical activity were associated with the intake of dietary vitamin B12 (Table 4). The proportion of women who did not participate in any sport or vigorous activity was 10 % higher in the group with the lowest intake of vitamin B12, whereas half of the women in the lowest third of dietary vitamin B12 intakes had healthy weight range (Table 4). The association between adult dietary vitamin B12 and GHQ-28 scores remained significant after adjusting for current BMI and physical activity (Table 5).

Table 4 Socio-economic circumstances and lifestyle characteristics of survey members at age 53 years, by dietary vitamin B12 intake at 53 (n 636)

*χ 2 test of independence investigating the association between each sociodemographic and lifestyle factor and the intake of dietary vitamin B12.

†Mean, sd.

Table 5 Percentage difference (95 % confidence intervals) in General Health Questionnaire scores (GHQ-28) at age 53 years by thirds of dietary vitamin B12 intake (per MJ) at age 53, BMI and exercise level (n 665 women)

*P value from regression analysis test for heterogeneity among the intake of dietary vitamin B group.

†Only one subject had BMI < 20kg/m2.

Discussion

Main findings

Of the six B vitamin hypotheses tested in this analysis, only low dietary vitamin B12 intake at age 53 was significantly associated with higher psychological distress at that age after adjustment for behavioural and lifestyle factors.

Comparisons of findings with other studies

This study provides limited support for the role of B vitamins in the maintenance of good mental health(Reference Rogers41Reference Alpert, Mischoulon, Nierenberg and Fava43); no significant results were found for B6 and folate, but lower intakes of vitamin B12 in adulthood were associated with higher psychological distress. In the American Women’s Health and Ageing Study, elderly women with vitamin B12 deficiency (serum vitamin B12 <200 pg/ml) were more than twice as likely to be depressed as non-deficient subjects(Reference Tiemeier, van Tuijl, Hofman, Meijer, Kiliaan and Breteler4). In a study from Rotterdam, vitamin B12 deficiency (serum vitamin B12 <350 pg/ml) was significantly related to depression. Subjects with vitamin B12 deficiency were 70 % more likely to suffer from severe depression than those without(Reference Baldewicz, Goodkin, Blaney, Shor-Posner, Kumar, Wilkie, Baum and Eisdorfer5). However, 95 % of the women in our study had vitamin B12 intakes above the RNI of 1.5 μg/d and therefore there were insufficient numbers to detect the effects of B12 intake below this level. The cross-sectional relationship observed between psychological distress and the intake of vitamin B12 at age 53, rather than intakes at earlier ages, could indicate that the low B12 intake may be the result of poorer mental health. It is also possible that this finding is the result of chance due to the number of dietary exposures investigated across four ages of the life course.

The lack of evidence reported here for an association between childhood or adulthood folate intake and psychological distress in women at age 53 is consistent with some other studies of the general population, where folate deficiency was not found to be related to depression in women or men in the community(Reference Penninx, Guralnik, Ferrucci, Fried, Allen and Stabler3, Reference Tiemeier, van Tuijl, Hofman, Meijer, Kiliaan and Breteler4, Reference Cassidy, Kotynia-English, Acres, Flicker, Lautenschlager and Almeida44, Reference Eussen, Ferry, Hininger, Haller, Matthys and Dirren45). However, other research has suggested that folate may be related to severe depression(Reference Coppen and Bolander-Gouaille46, Reference Carney, Chary, Laundy, Bottiglieri, Chanarin and Reynolds47).

Explanation of findings

The lack of association between childhood B vitamins intake and psychological distress may be due to their low tracking into adulthood. The Spearman correlation coefficients between childhood and adulthood B vitamins intakes ranged from −0.008 (B12) to 0.06 (B6), indicating that dietary nutrient intake patterns have changed over time. As with most cohort studies, it is difficult to separate the changes in dietary habits during one’s lifetime as being due to deliberate choices or in response to secular trends. Given the dietary restrictions that were in place in post-war Britain in the early 1950s(Reference Prynne, Paul, Price, Day, Hilder and Wadsworth29) and the over 30-year time span between the two different stages of life, it is not surprising that a poor correlation was found for all B vitamins.

It is also possible that most of the B vitamins intakes are not associated with mental health at the age of women in this study or that the range of intakes observed are not sufficient to make an association between the B vitamins intakes and psychological distress. It could also be possible that only some individuals with a certain genetic make-up may be sensitive to suboptimal vitamin B intake level (nutrigenetics) and that their number may be low in this study(Reference Zeisel48, Reference Mutch, Wahli and Williamson49).

Alternatively, it is possible that the dietary intake assessment was not a sufficiently sensitive measure. However, our dietary assessment method has been shown to provide good measures of intake and associations with other health outcomes that have been identified(Reference Prynne, Paul, Mishra, Greenberg and Wadsworth31, Reference Mishra, Malik, Paul, Wadsworth and Bolton-Smith50Reference Prynne, Paul, Mishra, Hardy, Bolton-Smith and Wadsworth52).

Strengths and limitations

The prospective study design, length of follow-up and the measurement of a wide range of potential confounders are major strengths of our study. Psychological distress was measured by the GHQ, the most popular screening instrument for detecting psychiatric disorders in community samples(Reference Rijsdijk, Snieder, Ormel, Sham, Goldberg and Spector25). The prevalence of psychological distress among women in the study was comparable to other British studies(Reference Singleton, Bumpstead, O’Brien, Lee and Meltzer53). The study was also able to assess the impact of B vitamin intake after simultaneous consideration of a range of potential confounders measured prospectively across the life course.

It is well recognised that all dietary assessment methods suffer from limitations associated with measurement error. However, food diary methods are generally considered to provide good estimates of usual intake(Reference Prynne, Paul, Price, Day, Hilder and Wadsworth29). While a 24h recall is generally not considered to represent usual intake due to within-person variation, it is expected that this would be less relevant in the current cohort due to the nature of the time period in which the childhood data were collected when dietary habits would have been less varied(Reference Prynne, Paul, Price, Day, Hilder and Wadsworth29). Previous studies of life-course nutrition and health have relied on adult recall of childhood intake(Reference Frazier, Li, Cho, Willett and Colditz54) and prospective studies are less susceptible to dietary recall bias than retrospective studies(Reference Margetts and Nelson55). As the measurements of dietary exposure were collected prospectively, we would expect that any measurement error present would not be associated with later mental health status, and therefore is more likely to result in attenuation of the observed relationships rather than a strengthening of relationships(Reference Armstrong, White and Saracci56). In addition, multiple assessments of dietary intake during adulthood were used rather than a single assessment, and period-specific food composition databases were used to calculate intakes allowing for real changes in food composition over time to be incorporated into the exposure measurement(Reference Prynne, Paul, Price, Day, Hilder and Wadsworth29, Reference Prynne, Paul, Mishra, Greenberg and Wadsworth31).

An important issue to consider with respect to dietary assessment is the presence of low-energy reporters (LERs). In the data from 1950, few (3 %) children were below the cut-off ratio of 0·9 that is considered plausible for a 1d diet record(Reference Prynne, Paul, Price, Day, Hilder and Wadsworth29). In adulthood at age 43, 25 % of the subjects were classified as LER (EI:BMR < 1·05)(Reference Mishra, Malik, Paul, Wadsworth and Bolton-Smith50). Despite this, in the current analyses, all statistical analyses were repeated with low-energy reporting included as a variable in the model and no differences were found.

Another limitation concerned the potential for bias due to women being excluded from the analysis where they had missing dietary data at any of the time points. However, there was no difference in the prevalence of psychological distress between women who provided dietary data during both childhood and adulthood and those who provided dietary data during childhood only (24·8 %, n 636 v. 24·6 %, n 761). Women who did not provide any dietary data had the highest prevalence of psychological distress (28·3 %, n 53), therefore excluding these women from the analysis would tend to attenuate rather than exaggerate the significance of nutritional relationships to health outcomes.

In summary, the present study found no evidence for long-term effects of B vitamin intakes on adult psychological distress. Only dietary vitamin B12 intake at age 53 was associated with mental health at the same age. None of the other B vitamins showed significant relationships with psychological distress. Use of biomarkers of vitamin B status such as red blood cell folate and plasma B12 measurements in prospective analyses may help to further evaluate the role of B vitamins in mental health. Future studies should also consider a total diet approach, to determine whether total diet is important in the protection of mental health as overall dietary patterns may be important predictors of health(Reference Newby and Tucker57).

Acknowledgements

Source of funding: Funding for this study was provided by the Food Standards Agency (Project Award N05048); the FSA had no further role in study design; in the collection, analysis and interpretation of data; in the writing of the report; and in the decision to submit the paper for publication. The Medical Research Council provided funding for the National Survey of Health and Development and financial support for S.A.M., M.O.C., C.J.P. and D.K.

Conflict of interest: None of the authors had a financial or personal conflict of interest.

Author contributions: G.D.M. conceptualised the paper, conducted the statistical analysis, drafted and edited the manuscript. S.A.M. reviewed the literature, provided interpretation of results, and assisted with drafting and editing of the manuscript. C.J.P. was responsible for management of the dietary data and provided advice regarding interpretation of the results. M.O.C. contributed to development of the study hypothesis and provided advice regarding interpretation of the results. D.K. conceptualised the paper, was responsible for the study design and data collection and provided advice regarding interpretation of the results.

Appendix A – Items included on the GHQ-28

GHQ01 ‘perfectly well and in good health’;

GHQ02 ‘in need of a good tonic’;

GHQ03 ‘run down and out of sorts’;

GHQ04 ‘felt that you are ill’;

GHQ05 ‘getting any pains in your head’;

GHQ06 ‘been getting a feeling of tightness or pressure in your head’;

GHQ07 ‘having hot or cold spells’;

GHQ08 ‘lost much sleep over worry’;

GHQ09 ‘had difficulty in stay asleep once off’;

GHQ10 ‘been managing to keep yourself busy and occupied’;

GHQ11 ‘been taking longer over the things you do’;

GHQ12 ‘felt on the whole you were doing things well ‘;

GHQ13 ‘been satisfied with the way you’ve carried out your task’;

GHQ14 ‘felt that you are playing a useful part in things’;

GHQ15 ‘felt capable of making decisions about things’;

GHQ16 ‘felt constantly under strain’;

GHQ17 ‘been able to enjoy your normal day to day activities’;

GHQ18 ‘been getting edgy and bad tempered’;

GHQ19 ‘been getting scared or panicky for no good reason’;

GHQ20 ‘found everything getting on top of you’;

GHQ21 ‘been thinking of yourself as a worthless person’;

GHQ22 ‘felt that life is entirely hopeless’;

GHQ23 ‘been feeling nervous and strung up all the time’;

GHQ24 ‘felt that life isn’t worth living’;

GHQ25 ‘thought of the possibility that you might make away with yourself’;

GHQ26 ‘found at times you couldn’t do anything because your nerves were too bad’;

GHQ27 ‘found yourself wishing you were dead and away from it all’;

GHQ28 ‘found the idea of taking your own life kept coming into your mind’.

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References

1.Murray, CJL & Lopez, AD (1996) Evidence-based health policy: lessons from the Global Burden of Disease Study. Science 274, 740743.CrossRefGoogle ScholarPubMed
2.Maughan, B (2002) Depression and psychological distress: a life course perspective. In A Life Course Approach to Women’s Health. pp. 161176 [D Kuh and R Hardy, editors]. Oxford: Oxford University Press.CrossRefGoogle Scholar
3.Penninx, BW, Guralnik, JM, Ferrucci, L, Fried, LP, Allen, RH & Stabler, SP (2000) Vitamin B12 deficiency and depression in physically disabled older women: epidemiologic evidence from the Women’s Health and Aging Study. Am J Psychiatry 157, 715721.CrossRefGoogle ScholarPubMed
4.Tiemeier, H, van Tuijl, HR, Hofman, A, Meijer, J, Kiliaan, AJ & Breteler, MM (2002) Vitamin B12, folate, and homocysteine in depression: the Rotterdam Study. Am J Psychiatry 159, 20992101.CrossRefGoogle ScholarPubMed
5.Baldewicz, TT, Goodkin, K, Blaney, NT, Shor-Posner, G, Kumar, M, Wilkie, FL, Baum, MK & Eisdorfer, C (2000) Cobalamin level is related to self-reported and clinically rated mood and to syndromal depression in bereaved HIV-1(+) and HIV-1(−) homosexual men. J Psychosom Res 48, 177185.CrossRefGoogle ScholarPubMed
6.Hvas, AM, Juul, S, Bech, P & Nexo, E (2004) Vitamin B6 level is associated with symptoms of depression. Psychother Psychosom 73, 340343.CrossRefGoogle ScholarPubMed
7.Baldewicz, T, Goodkin, K, Feaster, DJ, Blaney, NT, Kumar, M, Kumar, A, Shor-Posner, G & Baum, M (1998) Plasma pyridoxine deficiency is related to increased psychological distress in recently bereaved homosexual men. Psychosom Med 60, 297308.CrossRefGoogle ScholarPubMed
8.Shor-Posner, G, Feaster, D, Blaney, NT, Rocca, H, Mantero-Atienza, E, Szapocznik, J, Eisdorfer, C, Goodkin, K & Baum, MK (1994) Impact of vitamin B6 status on psychological distress in a longitudinal study of HIV-1 infection. Int J Psychiatry Med 24, 209222.CrossRefGoogle Scholar
9.Bell, IR, Edman, JS, Morrow, FD, Marby, DW, Mirages, S, Perrone, G, Kayne, HL & Cole, JO (1991) B complex vitamin patterns in geriatric and young adult inpatients with major depression. J Am Geriatr Soc 39, 252257.CrossRefGoogle Scholar
10.Bell, IR, Edman, JS, Morrow, FD, Marby, DW, Perrone, G, Kayne, HL, Greenwald, M & Cole, JO (1992) Brief communication. Vitamin B1, B2, and B6 augmentation of tricyclic antidepressant treatment in geriatric depression with cognitive dysfunction. J Am Coll Nutr 11, 159163.CrossRefGoogle ScholarPubMed
11.Carney, MW & Sheffield, BF (1978) Serum folic acid and B12 in 272 psychiatric in-patients. Psychol Med 8, 139144.CrossRefGoogle ScholarPubMed
12.Fava, M, Borus, JS, Alpert, JE, Nierenberg, AA, Rosenbaum, JF & Bottiglieri, T (1997) Folate, vitamin B12, and homocysteine in major depressive disorder. Am J Psychiatry 154, 426428.Google ScholarPubMed
13.Merry, J, Abou-Saleh, M & Coppen, A (1982) Alcoholism, depression and plasma folate. Br J Psychiatry 141, 103104.CrossRefGoogle ScholarPubMed
14.Hintikka, J, Tolmunen, T, Tanskanen, A & Viinamaki, H (2003) High vitamin B12 level and good treatment outcome may be associated in major depressive disorder. BMC Psychiatry 3, 17.CrossRefGoogle ScholarPubMed
15.Godfrey, PS, Toone, BK, Carney, MW, Flynn, TG, Bottiglieri, T, Laundy, M, Chanarin, I & Reynolds, EH (1990) Enhancement of recovery from psychiatric illness by methylfolate. Lancet 336, 392395.CrossRefGoogle ScholarPubMed
16.Wesson, VA, Levitt, AJ & Joffe, RT (1994) Change in folate status with antidepressant treatment. Psychiatry Res 53, 313322.CrossRefGoogle ScholarPubMed
17.Benton, D, Haller, J & Fordy, J (1995) Vitamin supplementation for 1 year improves mood. Neuropsychobiology 328, 98105.CrossRefGoogle Scholar
18.Doll, H, Brown, S, Thurston, A & Vessey, M (1989) Pyridoxine (vitamin B6) and the premenstrual syndrome: a randomized crossover trial. J R Coll Gen Pract 39, 364368.Google ScholarPubMed
19.Hindmarch, I (2002) Beyond the monoamine hypothesis: mechanisms, molecules and methods. Eur Psychiatry 17, Suppl. 3, 294299.CrossRefGoogle ScholarPubMed
20.Malouf, M, Grimley, EJ & Areosa, SA (2003) Folic acid with or without vitamin B12 for cognition and dementia. Cochrane Database Syst Rev issue 4, CD004514.CrossRefGoogle ScholarPubMed
21.Malouf, R & Areosa Sastre, A (2003) Vitamin B12 for cognition. Cochrane Database Syst Rev issue 3, CD004326.Google ScholarPubMed
22.Wolters, M, Strohle, A & Hahn, A (2004) Cobalamin: a critical vitamin in the elderly. Prev Med 39, 12561266.CrossRefGoogle ScholarPubMed
23.Alpert, M, Silva, RR & Pouget, ER (2003) Prediction of treatment response in geriatric depression from baseline folate level: interaction with an SSRI or a tricyclic antidepressant. J Clin Psychopharmacol 23, 309313.CrossRefGoogle ScholarPubMed
24.Wadsworth, ME, Butterworth, SL, Hardy, RJ, Kuh, DJ, Richards, M, Langenberg, C, Hilder, WS & Connor, M (2003) The life course prospective design: an example of benefits and problems associated with study longevity. Soc Sci Med 57, 21932205.CrossRefGoogle ScholarPubMed
25.Rijsdijk, FV, Snieder, H, Ormel, J, Sham, P, Goldberg, DP & Spector, TD (2003) Genetic and environmental influences on psychological distress in the population: General Health Questionnaire analyses in UK twins. Psychol Med 33, 793801.CrossRefGoogle ScholarPubMed
26.Goldberg, DP (1972) The Detection of Psychiatric Illness by Questionnaire. London: Oxford University Press.Google Scholar
27.Goldberg, DP & Hillier, VF (1979) A scaled version of the General Health Questionnaire. Psychol Med 9, 139145.CrossRefGoogle ScholarPubMed
28.Willmott, SA, Boardman, JAP, Henshaw, AC & Jones, PW (2004) Understanding General Health Questionnaire (GHQ-28) score and its threshold. Soc Psychiatry Epidemiol 39, 613617.CrossRefGoogle ScholarPubMed
29.Prynne, CJ, Paul, AA, Price, GM, Day, KC, Hilder, WS & Wadsworth, MEJ (1999) Food and nutrient intake of a national sample of 4-year-old children in 1950: comparison with the 1990s. Public Health Nutr 2, 537547.CrossRefGoogle ScholarPubMed
30.Price, GM, Paul, AA, Key, FB, Harter, AC, Cole, TJ, Day, KC et al. (1995) Measurement of diet in a large national survey: comparison of computerised and manual coding in household measures. J Hum Nutr Diet 8, 417428.CrossRefGoogle Scholar
31.Prynne, CJ, Paul, AA, Mishra, GD, Greenberg, DC & Wadsworth, MEJ (2005) Changes in intake of key nutrients over 17 years during adult life of a British birth cohort. Br J Nutr 94, 368376.CrossRefGoogle ScholarPubMed
32.Paul, AA & Southgate, DAT (1978) McCance and Widdowson’s The Composition of Foods, 4th ed. London: HM Stationery Office.Google Scholar
33.Holland, B, Unwin, ID & Buss, DH (1988) Cereals and Cereal Products. Third supplement to McCance and Widdowson’s The Composition of Foods. Cambridge: Royal Society of Chemistry.Google Scholar
34.Holland, B, Unwin, ID & Buss, DH (1991) Vegetables, Herbs and Spices. Fifth supplement to McCance and Widdowson’s The Composition of Foods. Cambridge and London: The Royal Society of Chemistry and Ministry of Agriculture Fisheries and Food.CrossRefGoogle Scholar
35.Braddon, FE, Wadsworth, MEJ, Davies, JMC & Cripps, HA (1988) Social and regional differences in food and alcohol consumption and their measurement in a national birth cohort. J Epidemiol Community Health 42, 341349.CrossRefGoogle Scholar
36.Willett, W & Stampfer, M (1998) Implications of total energy intake for epidemiologic analyses. In Nutritional Epidemiology. pp. 101147 [Willett W, editor]. New York: Oxford University Press.CrossRefGoogle Scholar
37.Registrar General (1980) Classification of Occupations. London: HMSO.Google Scholar
38.Department of Health (1991) Dietary Reference Values for Food Energy and Nutrients for the United Kingdom. Report of the Panel on Dietary Reference Values of the Committee on Medical Aspects of Food Policy. London: HMSO.Google Scholar
39.Cole, TJ (2000) Sympercents: symmetric percentage differences on the 100 log(e) scale simplify the presentation of log transformed data. Stat Med 19, 31093125.3.0.CO;2-F>CrossRefGoogle ScholarPubMed
40.Goldberg, GR, Black, AE, Jebb, SA, Cole, TJ, Murgatroyd, PR, Coward, WA & Prentice, AM (1991) Critical evaluation of energy intake data using fundamental principles of energy physiology: 1. Derivation of cut-off limits to identify under-recording. Eur J Clin Nutr 45, 569581.Google ScholarPubMed
41.Rogers, PJ (2001) A healthy body, a healthy mind: long-term impact of diet on mood and cognitive function. Proc Nutr Soc 60, 135143.CrossRefGoogle Scholar
42.Bottiglieri, T, Laundy, M, Crellin, R, Toone, BK, Carney, MW & Reynolds, EH (2000) Homocysteine, folate, methylation, and monoamine metabolism in depression. J Neurol Neurosurg Psychiatry 69, 228232.CrossRefGoogle ScholarPubMed
43.Alpert, JE, Mischoulon, D, Nierenberg, AA & Fava, M (2000) Nutrition and depression: focus on folate. Nutrition 16, 544546.CrossRefGoogle ScholarPubMed
44.Cassidy, K, Kotynia-English, R, Acres, J, Flicker, L, Lautenschlager, NT & Almeida, OP (2004) Association between lifestyle factors and mental health measures among community-dwelling older women. Aust N Z J Psychiatry 38, 940947.CrossRefGoogle ScholarPubMed
45.Eussen, SJ, Ferry, M, Hininger, I, Haller, J, Matthys, C & Dirren, H (2002) Five year changes in mental health and associations with vitamin B12/folate status of elderly Europeans. J Nutr Health Aging 6, 4350.Google ScholarPubMed
46.Coppen, A & Bolander-Gouaille, C (2005) Treatment of depression: time to consider folic acid and vitamin B12. J Psychopharmacol 19, 5965.CrossRefGoogle ScholarPubMed
47.Carney, MW, Chary, TK, Laundy, M, Bottiglieri, T, Chanarin, I, Reynolds, EH et al. (2000) Red cell folate concentrations in psychiatric patients. J Affect Disord 19, 207213.CrossRefGoogle Scholar
48.Zeisel, SH (2007) Nutrigenomics and metabolomics will change clinical nutrition and public health practice: insights from studies on dietary requirements for choline. Am J Clin Nutr 86, 542548.CrossRefGoogle Scholar
49.Mutch, DM, Wahli, W & Williamson, G (2005) Nutrigenomics and nutrigenetics: the emerging faces of nutrition. FASEB J 19, 16021616.CrossRefGoogle ScholarPubMed
50.Mishra, GD, Malik, NS, Paul, AA, Wadsworth, ME & Bolton-Smith, C (2003) Childhood and adult dietary vitamin E intake and cardiovascular risk factors in mid-life in the 1946 British Birth Cohort. Eur J Clin Nutr 57, 14181425.CrossRefGoogle ScholarPubMed
51.McNaughton, SA, Mishra, GD, Stephen, AM & Wadsworth, MEJ (2007) Dietary patterns throughout adult life are associated with body mass index, waist circumference, blood pressure and red cell folate. J Nutr 137, 99105.CrossRefGoogle ScholarPubMed
52.Prynne, CJ, Paul, AA, Mishra, GD, Hardy, RJ, Bolton-Smith, C & Wadsworth, MEJ (2002) Sociodemographic inequalities in the diet of young children in the 1946 British birth cohort. Public Health Nutr 5, 733745.CrossRefGoogle ScholarPubMed
53.Singleton, N, Bumpstead, R, O’Brien, M, Lee, A & Meltzer, H (2003) Psychiatric morbidity among adults living in private households. Int Rev Psychiatry 15, 6573.CrossRefGoogle ScholarPubMed
54.Frazier, AL, Li, L, Cho, E, Willett, WC & Colditz, GA (2004) Adolescent diet and risk of breast cancer. Cancer Causes Control 15, 7382.CrossRefGoogle ScholarPubMed
55.Margetts, BM, Nelson, M (editors) (1997) Design Concepts in Nutritional Epidemiology, 2nd ed. New York: Oxford University Press.CrossRefGoogle Scholar
56.Armstrong, BK, White, E & Saracci, R (1992) Principles of Exposure Measurement in Epidemiology. New York: Oxford University Press.CrossRefGoogle Scholar
57.Newby, PK & Tucker, KL (2004) Empirically derived eating patterns using factor or cluster analysis: a review. Nutr Rev 62, 177203.CrossRefGoogle ScholarPubMed
Figure 0

Table 1 Characteristics of the sample (n 636)

Figure 1

Table 2 Mean, standard deviation and median dietary B vitamin intake and percentage of subjects meeting the 1991 reference nutrient intakes (RNI) among 636 women*

Figure 2

Table 3 Unadjusted percentage difference (95 % confidence intervals) in General Health Questionnaire scores (GHQ-28) at age 53 years by thirds of dietary vitamin B intake (per MJ) during childhood and adult life (n 636 women)*

Figure 3

Table 4 Socio-economic circumstances and lifestyle characteristics of survey members at age 53 years, by dietary vitamin B12 intake at 53 (n 636)

Figure 4

Table 5 Percentage difference (95 % confidence intervals) in General Health Questionnaire scores (GHQ-28) at age 53 years by thirds of dietary vitamin B12 intake (per MJ) at age 53, BMI and exercise level (n 665 women)