Birth weight and cognitive performance in older women: the Rancho Bernardo study.

Low birth weight is associated with poorer cognitive function from infancy through early adulthood, but little is known about low birth weight and cognitive performance in the elderly. This study examines the association of birth weight with cognitive function in community-dwelling older women. Participants were 292 community-dwelling women aged 55-89 (median = 71 years) who attended a 1988-91 clinic visit when cognitive function was assessed, and responded to a 1991 mailed questionnaire assessing birth weight. All analyses were adjusted for age and education. Birth weight ranged from 2 to 12 pounds (lbs; mean = 7.4 +/- 1.9). When birth weight was categorized into tertiles (2-6.9 lbs, 7-8 lbs, and 8.1-12.4 lbs), women in the lowest tertile had significantly lower ("poorer") scores on Serial 7's, a test of concentration and calculation (p < 0.05). Other birth weight categorizations (lowest quartile or quintile, or birth weight <5.5 lbs vs. 5.6-8.9 lbs and >or=9 lbs) did not improve the prediction of poor performance on Serial 7's. Birth weight as a continuous variable was significantly and positively associated with Serial 7's test scores (p = 0.04). Results suggest that small decrements in cognitive function tasks involving calculation may persist throughout life in women who were of relatively low birth weight. Although this association could be spurious, it deserves further evaluation.

Low birth weight (LBW), defined as infants weighing ≤2,500 g (5 lbs, 8 oz) complicates 8.2% of live births in the United States (Martin et al. 2006; Hamilton et al. 2006), and contributes substantially to infant and childhood morbidity, particularly with respect to neurological outcomes (Saigal et al. 2000; Taylor et al. 2006; Goldenberg and Culhane 2007; Hack 2006). LBW has been associated with poorer performance on cognitive function tests from infancy through early adulthood (Sorensen et al. 1997).

One study of a British birth cohort investigated the association between birth weight and cognitive function at various ages (Richards et al. 2002), but did not evaluate cognitive function after age 43. To our knowledge, the only previous study of cognitive function in old age as related to birth weight (ascertained by birth records), included 1,576 men and women aged 48–74 years; only two cognitive function tests were administered, (IQ test and vocabulary). Neither was associated with birth weight (Martyn et al. 1996).

This study assesses the association of birth weight with 12 standard cognitive function tests in community-dwelling women aged 55 years and older who also reported their birth weight.

Methods

Participants

In 1972–1974, 82% of the residents of Rancho Bernardo, a middle-class, predominantly Caucasian, southern California community, were enrolled in a study of heart disease risk factors. These individuals were followed ever since with yearly mailed questionnaires and periodic clinic evaluations. Eighty percent of the surviving community-dwelling men (n = 811) and women (n = 1229) attended a 1988–91 follow-up clinic visit, when cognitive function tests were administered. In 1991, surviving members of the cohort were mailed a questionnaire asking about birth weight and their source of information (birth certificate, family Bible, baby book, parent, other). Too few men knew their birth weight for meaningful analysis, and were excluded from consideration. After excluding 25 women aged <55 years in 1988–1991, 200 who did not complete all cognitive function tests and 712 unable to provide birth weight information, there remained 292 women aged ≥55 for this analysis. All were ambulatory and gave written, informed consent. This study was approved by the University of California, San Diego Human Research Protections Program.

Procedures

Self-administered questionnaires were used to assess age, smoking history, and alcohol consumption. Medication use, including estrogen-replacement therapy, was confirmed by examination of prescriptions or pills brought to the clinic for that purpose. Trained personnel individually administered 12 cognitive function tests, all with demonstrated reliability and validity. These tests included:

The Buschke-Fuld Selective Reminding Test (Buschke and Fuld 1974) to assess short- and long-term storage and retrieval of spoken words. Ten unrelated words are read to participants at a rate of one every 2 s for up to six trials. Immediately after, participants are asked to recall the list. Points are based upon the number of items and trials needed for recall. Measures of long- and short-term memory and total recall are obtained. Higher scores on short-term memory indicate poorer performance.

The Heaton Visual Reproduction Test (Russell 1975; Weschler 1945), assesses memory for geometric forms. Three stimuli of increasing complexity are presented one at a time, for 10 s each. Participants reproduce the figures immediately (short-term memory), and after 30 min (long-term memory). Participants are asked to copy the stimulus figures to assess visuospatial impairments.

The Mini-Mental State Examination (MMSE) (Folstein et al. 1975; Tombaugh and McIntyre 1992) assesses orientation, registration, attention, calculation, language and recall. Total MMSE scores range from 0–30. Two MMSE items were analyzed separately; counting backward from 100 by sevens (Serial 7’s), which assesses calculation, and spelling the word “world” backwards which assesses attention. Maximum possible score is 5 for each item.

Two items from the Blessed et al. (Blessed et al. 1968) Information-memory-concentration test assess concentration by having participants name the months of the year backward, and assess memory by asking participants to recall a five-part name and address following a 10-min delay. Two points are given for correctly naming the months of the year backward and one point is given for each part of the name and address recalled correctly. The maximum possible score is 7.

The Trail-making Test, part B (Trails B), from the Halstead-Reitan Neuropsyhological Test Battery (Reitan 1958), tests visuomotor tracking and attention. Participants scan a page to identify numbers and letters in a specified sequence while shifting from number to letter sets. A maximum of 300 s is given; scoring is the time taken to finish the test. Higher scores indicate poorer test performance.

Category fluency (Borkowski et al. 1967) is assessed by having participants name as many animals as possible in 1 min. The score is the number of animals correctly named. Repetitions, variants, and intrusions are not counted.

A mailed questionnaire in 1991 asked participants to give their birth weight and source of information with response choices of birth certificate, baby book, family bible, parent and unknown.

Statistical analysis

Descriptive statistics were calculated for all continuous and categorical variables. All analyses were adjusted for age and education. Comparisons of cognitive function scores by birth weight tertile were performed with analysis of covariance. Multiple regression analyses were used to examine the association of birth weight in tertiles and as a continuous variable with each cognitive function score after adjustment for confounders. For these analyses, variables were identified as confounders if their removal from the model yielded a change of ≥10% in the beta weight for birth weight. Analyses were repeated using other definitions of low birth weight (≤5.5 lbs vs. 5.6–8.9 lbs and ≥9 lbs; quartiles; and quintiles). To test for selection bias, those with and without birth weight data were compared on age, education, cigarette smoking, alcohol use and estrogen use.

SAS, version 8.0 for Windows, (SAS Institute Inc., Cary, NC), was used for analysis; all tests were two tailed, p < 0.05 was considered statistically significant. No adjustment was made for multiple comparisons as analyses were exploratory; exact p-values are shown instead.

Results

Age ranged from 55–89 years with an average of 71.1 (median 71.0). Information on birth weight was obtained from birth certificates for 31.5%, family Bibles for 1.0%, and baby books for 10.3% and parents for 54.1%. Mean birth weight was 7.4±1.8 pounds (median = 7.5). Only 28 women weighed ≤5.5 pounds at birth. Table 1 compares characteristics by birth weight tertile. There were significantly fewer past and current smokers among women in the lowest tertile as compared to those in the middle and highest tertiles (p = 0.03), but there were no significant differences by birth weight tertile on age, education, alcohol intake, or estrogen therapy use.

Table 1

Sample characteristics of women (N = 292) aged 55–89 years by tertile of birth weight; Rancho Bernardo, CA, 1988–1991

	All	Lowest tertileb	Middle tertileb	Highest tertileb	F or χ2	P-value
		2.0–6.9 lbs	7.0–8.0 lbs	8.1–12.4 lbs
		(n = 90)	(n = 113)	(n = 89)
Continuous Variable mean (SD)
Age (years)	71.1 (8.6)	71.1 (8.2)	71.4 (8.8)	70.9 (8.9)	0.07	0.93
Categorical Variables (%)
Some collegea	71.8	71.9	74.3	68.5	0.83	0.66
Smoking					1.30	0.03
Never	49.0	19.2	17.5	12.3
Past	40.4	8.6	17.1	14.7
Current	10.6	3.1	4.1	3.4
Alcohol intake (≥3 times/week)	41.1	41.1	41.6	40.4	0.03	0.99
Ever use estrogen	77.9	71.9	80.4	80.9	2.72	0.26

All variables had <5% missing

aCollege defined as > High school versus ≤ High school

bMeans and medians of birth weights within each tertile were: Tertile 1: mean = 5.3 lbs, median = 5.2 lbs; Tertile 2:mean = 7.6 lbs, median = 7.5; and Tertile 3: mean = 9.5 lbs, median = 9.0 lbs

Table 2 shows cognitive function by birth weight tertile adjusted for age and education. Women in the lowest birth weight tertile had significantly lower (“poorer”) test scores on Serial 7’s compared to women in the middle and highest birth weight tertiles (p < 0.05). No differences by birth weight tertile were observed on the other eleven cognitive function tests. Only 15 women in this sample had diabetes; 4 were in the lowest birth weight tertile. Adjusting analyses for the presence of diabetes or for current body mass index did not materially alter the results. Using other cutpoints for birth weight categorization (e.g., quartiles, quintiles, or birth weight ≤5.5 lbs/7–8. lbs/≥9 lbs) yielded similar differences only for Serial 7’s (data not shown). Although mean values obtained for Serial 7’s were similar, differences were of borderline statistical significance (p < 0.06) when birth weight was classified as ≤5.5 lbs/7–8.9 lbs/≥9 lbs, most likely due to low statistical power (.48).

Table 2

Age- and education-adjusted comparisons of scores on cognitive function tests by birth weight tertile in women (n = 292); Rancho Bernardo, CA, 1988–1991

Cognitive function test mean (SD)	Lowest tertile	Middle tertile	Highest rertile
	2.0–6.9 lbs	7.0–8.0 lbs	8.1–12.4 lbs
	(n = 90)	(n = 113)	(n = 89)
Buschke total recall	42.0 (9.7)	42.3 (8.0)	41.3 (9.1)
Buschke LTM	37.0 (12.6)	37.5 (10.6)	35.9 (12.1)
Buschke STM a	5.0 (3.6)	4.9 (3.8)	5.4 (3.9)
Heaton visual copying	10.2 (3.3)	10.6 (3.6)	10.3 (3.2)
Heaton visual LTM	8.0 (4.0)	7.8 (4.1)	7.3 (3.6)
Heaton visual STM	15.5 (1.9)	15.6 (2.0)	15.6 (1.6)
MMSE	27.7 (1.8)	27.6 (1.4)	27.8 (1.6)
Serial 7 s	3.9 (1.2)	4.2 (1.2)*	4.2 (1.2)*
World backward	4.9 (0.5)	4.9 (0.5)	4.9 (0.4)
Total blessed	6.3 (1.4)	6.4 (0.9)	6.3 (1.1)
Trails B a	122.8 (59.8)	123.7 (56.2)	132.7 (64.8)
Category fluency	18.0 (4.6)	18.9 (5.1)	18.5 (4.6)

Results of analysis of covariance

Higher score indicates poorer test performance

*p ≤ 0.05 for comparison with Tertile 1

Table 3 shows the results of regression analyses examining the association of birth weight as a continuous variable with cognitive function scores after adjustment for age and education. As shown, birth weight as a continuous variable, was significantly and positively associated with Serial 7’s scores (p = 0.04), but was not associated with any other cognitive function scores. Adjusting analyses for the presence of diabetes yielded similar results.

Table 3

Adjusted associations of birth weight as a continuous variable with cognitive function test scores in women (n = 292); Rancho Bernardo, CA, 1988–1991

Cognitive function tests	β	t	p-value
Buschke total recall	−0.08	−0.30	0.77
Buschke LTM	−0.08	−0.22	0.83
Buschke STMa	0.00	0.04	0.97
Heaton visual copying	0.05	0.48	0.63
Heaton visual LTM	−0.00	0.01	0.99
Heaton visual STM	0.07	1.24	0.22
MMSE	0.03	0.56	0.57
Serial 7’s	0.08	2.09	0.04
World backward	−0.00	−0.14	0.89
Trails Ba	2.23	1.34	0.18
Category fluency	0.08	0.54	0.59
Total blessed	0.05	1.42	0.16

Results of analysis of covariance; models adjusted for age and education. Units of birth weight measured in pounds

aHigher score indicates poorer test performance

Selection bias analysis showed that women who reported birth weight were significantly younger (p < 0.001), more educated (p < 0.001), and more likely to have ever used estrogen replacement (p = 0.03) than those who did not have birth weight information (n = 712), but there were no differences in smoking or alcohol use.

Discussion

From 1960 to 2000, approximately 20,000 infants were born each year weighing ≤1,000 g (2.2 pounds). Although the mortality of LBW infants decreased during this time period, the prevalence of significant disabilities has increased substantially (Goldenberg and Culhane 2007). LBW has been associated with poorer performance on cognitive function tests from infancy through early adulthood (Sorensen et al. 1997; Shenkin et al. 2001; Richards et al. 2001; Jefferis et al. 2002; Matte et al. 2001). However, few studies examine whether the effects of LBW persist throughout a person’s lifetime and into old age.

This study of older women showed no evidence of residual cognitive impairment on 11 of 12 cognitive function tests for those reporting lower birth weights, but there was evidence for a long-term effect of low birth weight on the only cognitive function test involving calculation. These results are in partial accord with those of Richards et al. (2002) who reported that birth weight was significantly associated with poorer cognitive function scores on reading comprehension, verbal memory and math in participants aged 8–43. Results of our study disagree with those of Martyn et al. (1996) who reported no association between birth weight and intelligence and vocabulary tests in men and women aged 48–74. However, that study, unlike the present study, did not include a test involving calculation. To our knowledge, no other studies address the association of low birth weight and cognitive function in older individuals.

Barker’s fetal origins hypothesis contends that undernutrition during developmentally sensitive periods causes an adaptation response by the fetus that may biologically ‘program’ adult chronic disease (Barker 2004). Low birth weight is presumed to indicate undernutrition of the fetus in utero. Studies in laboratory animals provide evidence for a programming mechanism (McCance and Widdowson 1974; Winick and Noble 1966). Barker’s hypothesis has received support in humans from several epidemiologic studies linking low birth weight to coronary heart disease, diabetes, obesity and hypertension in adulthood (Barker 1995; Lithell et al. 1996; Hales et al. 1991; Yarbrough et al. 1998; Leon et al. 1996; Law et al. 1993).

Low birth weight is a risk factor for neurodevelopmental disabilities in early childhood (Lorenz et al. 1998) making it biologically plausible that its effects on cognitive development persist throughout the lifespan. Malnutrition resulting in LBW affects the morphology, physiology, and neurochemistry of the brain during critical periods of central nervous system development, which may have implications for future cognitive function (Morgane et al. 1993). Numerous studies report that very low birth weight children have more academic difficulties than normal birth weight children (Hack et al. 1992; Saigal et al. 1991a). These difficulties are found even when children with obvious mental or neurological impairments are excluded from consideration (Klebanov et al. 1994; Klein et al. 1989). Areas of functioning that most consistently distinguish very low birth weight children from normal controls include math achievement, attention and perceptual motor skills (Szatmari et al. 1993). One longitudinal study showed that teenagers who were extremely low birth weight as newborns, function less well on intellectual measures compared to age-matched peers, especially in arithmetic (Saigal et al. 2000). Difficulties in math among children of low birth weight have also been reported by others (Klebanov et al. 1994; Klein et al. 1989; Weiner et al. 1968; Saigal et al. 1991b; Taylor et al. 1995; Rickards et al. 1988; Botting et al. 1998), a finding often independent of IQ (Klebanov et al. 1994; Klein et al. 1989; Botting et al. 1998). Results of this study show that as compared to women with higher birth weight, those with lower birth weight had significantly poorer scores on Serial 7’s, a test assessing calculation, and suggest that the early differences persist into old age. The lack of differences on tests in other cognitive dimensions is in accord with studies in children. Furthermore, the difference observed in the present study was independent of age and education, suggesting an underlying deficit that cannot be ameliorated by education or the passage of time.

Potential limitations of this study are acknowledged. A large proportion of these elderly women did not know their birth weight and only 42.8% had paper documentation. Many were born years before states issued birth certificates, and at a time when many babies were born at home. The small number of women with documented birth weight eliminates the possibility of a sensitivity analysis or the examination of the extent of recall bias due to a lack of statistical power. Selection bias, whereby the most cognitively impaired were more often unable to recall their birth weight, and were therefore omitted from these analyses also cannot be excluded. However, given that women who reported birth weight were younger and more educated, it argues that the results obtained in this study may underestimate the association of birth weight and cognitive function.

Very low birth weight babies who survived during the years in which the women of this cohort were born were probably healthier than those who did not survive, and only 55% of the lowest tertile birth weight babies weighed ≤6 pounds. However, survival bias due to the selective survival of healthier low birth weight individuals also likely underestimates the association of birth weight and cognitive function. Much lower birth weight babies survive today than survived 50 or more years ago when the participants in this study were born (Goldenberg and Culhane 2007). Therefore, the association of low birth weight with low cognitive function may be magnified in the future.

The strengths of this study include the comprehensive assessment of cognitive performance and its inclusion of women at older ages. Although the sample was relatively well educated, predominately white and middle-class, which may limit generalizability, potential confounding due to socioeconomic status and early childhood malnutrition is minimized.

In conclusion, of 12 cognitive function measures administered to a sample of older women, small but statistically significant differences by birth weight were observed only on a test of calculation. Although an effect of chance cannot be excluded, these results suggest that difficulties in math found among children of low birth weight may persist throughout life into old age. Additional studies in populations whose birth weight records are retained for life would be useful to further explore this association.