Abstract
BACKGROUND/OBJECTIVES
Low intake of long chain polyunsaturated fatty acids (PUFAs) are associated with physical disability; however, prospective studies of circulating PUFAs are scarce. We examined associations between plasma phospholipid n – 3 and n – 6 PUFAs with risk of incident mobility disability and gait speed decline.
SUBJECTS/METHODS
Data are from a subgroup of the Age, Gene/Environment Susceptibility–Reykjavik Study, a population-based study of risk factors for disease and disability in old age. In this subgroup (n = 556, mean age 75.1 ± 5.0 years, 47.5% men), plasma phospholipid PUFAs were assessed at baseline using gas chromatography. Mobility disability and usual gait speed were assessed at baseline and after 5.2 ± 0.2 years. Mobility disability was defined as the following: having much difficulty, or being unable to walk 500 m or climb up 10 steps; decline in gait speed was defined as change ≥ 0.10 m/s. Logistic regression analyses were performed to determine associations between sex-specific s.d. increments in PUFAs with risk of incident mobility disability and gait speed decline. Odds ratios (95% confidence intervals) adjusted for demographics, follow-up time, risk factors and serum vitamin D were reported.
RESULTS
In women, but not men, every s.d. increment increase of total n – 3 PUFAs and docosahexaenoic acid (DHA) was associated with lower mobility disability risk, odds ratio 0.48 (0.25; 0.93) and odds ratio 0.45 (0.24; 0.83), respectively. There was no association between n – 6 PUFAs and the risk of incident mobility disability or gait speed decline.
CONCLUSIONS
Higher concentrations of n – 3 PUFAs and, particularly, DHA may protect women from impaired mobility but does not appear to have such an effect in men.
INTRODUCTION
Aging is associated with loss of physical function.1 With the aging of the general population and the considerable prevalence of older persons with mobility disability, identifying modifiable factors that might delay or prevent loss of physical function is important to promote independence and quality of life for older persons.
Nutrient intake is a modifiable factor that may be important for maintaining the health of aging individuals. Long chain polyunsaturated fatty acids (PUFAs), especially eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA), have been associated with improved muscle composition2 or muscle strength.2–4 In addition, lower intakes of long chain n – 3 PUFAs are cross-sectionally associated with worse physical function.4,5 Data from the InCHIANTI study showed that higher plasma n – 3 PUFA levels were associated with lower risk of poor performance after 3 years of follow-up.6 Data on long chain n – 3 PUFA supplementation (fish oil), although limited, suggest a benefit of 1.2 g of EPA and DHA on gait speed among post-menopausal women.7 Plasma n – 6 PUFAs in relation to physical performance decline have only been investigated in one study. No associations were reported,6 but further studies are needed to confirm these results.
As most previous studies were limited to cross-sectional measures of function and the majority of the studies estimated n – 3 PUFAs using questionnaires rather than measurements of circulating PUFA, further studies are needed. In addition, prior studies focused on long chain n – 3 PUFAs, and the role of long chain n – 6 PUFAs on physical function is less well known.
The aim of the present study is to determine associations between plasma phospholipid n – 3 and n – 6 PUFAs with incident mobility disability and gait speed decline assessed over 5 years of follow-up in older adults. We hypothesized that participants with higher plasma phospholipid PUFAs would have lower risk of mobility disability and decline in gait speed.
SUBJECTS AND METHODS
Study population
Data are from the Age, Gene/Environment Susceptibility–Reykjavik (AGES-Reykjavik) Study, a single-center, prospective, ongoing population study of survivors from the Reykjavik Study.8,9 Details of the study design were previously published.10 Briefly, baseline data collection among 5764 men and women took place from 2002 to 2006. During a mean follow-up of 5.2 ± 0.2 years, 1039 participants died, 1198 were not willing to participate and 211 were lost to follow-up. Follow-up measurements took place between 2007 and 2011 in 3316 participants.
Participants were drawn from the random cohorts of two sub studies in the AGES-Reykjavik Study (n = 1028) that had data on PUFAs. Participants who met the criteria for magnetic resonance imaging were identified and randomly selected to take part in the Iceland-MI study (n = 702).11 Participants who were identified as candidates for Iceland-MI but who did not participate were also randomly selected (n = 326). Participants without baseline and follow-up data on mobility disability or gait speed (n = 440) were excluded in the present analytic sample. As we were interested in incident mobility disability, we excluded participants who reported difficulty walking 500 m or climb 10 steps at baseline (n = 32), resulting in 556 participants with complete data to assess incidence. Compared with the included sample, those who were excluded were older at baseline, were less moderate to vigorous physically active and had lower serum 25-hydroxyvitamin D (25OHD) concentration (Supplementary Table 1).
All participants provided written informed consent, and the study was approved (VSN 00-063) by the National Bioethics Committee in Iceland, as well as the Institutional Review Board of the Intramural Research Program of the National Institute on Aging.
Determination of PUFAs
Baseline blood samples were collected following an overnight fast and stored at − 80 °C. PUFAs were measured in plasma phospholipids, which reflect short-term dietary intake and fatty acids available to the periphery. Detailed description of determination has been previously described.2 In brief, phospholipids were separated from other lipids by one dimensional thin layer chromatography.12 Fatty acid methyl esters were prepared by direct transesterification13 and separated using gas chromatography. PUFAs are expressed as a relative percent of the total phospholipid fatty acids analyzed. For this study, we focused on total and individual long chain n – 3 PUFAs (EPA+DPA+DHA), alpha-linolenic acid, total and individual long chain n – 6 PUFAs (linoleic acid+arachidonic acid). All coefficients of variation from pooled quality control samples for EPA, docosapentaenoic acid, DHA, alpha-linolenic acid, linoleic acid and arachidonic acid were all <2.5%.
Determination of self-reported mobility disability
Self-reported mobility disability was assessed at baseline and follow-up with the following questions: ‘Because of health or physical problems do you have any difficulty walking 500 m by yourself or without the use of aids?’, and ‘Do you have any difficulty climbing 10 steps without resting when you are by yourself and without the use of aids?’ Mobility disability was defined as having much difficulty or being unable to walk 500 m and/or climb 10 steps at follow-up.
Determination of gait speed
Gait speed was used as an objective measure of physical performance. Usual 6 m walking speed was assessed using the same standardized protocol at both baseline and follow-up. Gait speed was calculated by dividing the distance with the walking time expressed in meters per second (m/s). Change in gait speed over time was calculated. A decline of ≥ 0.10 m/s in gait speed, a clinically meaningful change,14 was used to categorize participants according to whether or not they had a decline in gait speed.
Covariates
All covariates were assessed at the baseline examination. Body mass index (kg/m2) was calculated from measured weight and height, and waist circumference (cm) was measured using standardized protocols.10 Education (primary, secondary, college and university education), smoking status (never, former and current) and physical activity (hours per week of moderate to vigorous activity in prior year) were assessed by questionnaire. Circulating vitamin D, 25OHD, was determined using the Liaison chemiluminescence immunoassay (Stillwater, MN, USA) as measured in nmol/l. Blood pressure was assessed from the mean value of two measurements with a large-cuff mercury sphygmomanometer. Medical conditions (hypertension, diabetes, coronary heart disease) were determined from self-report, medications and clinical assessments.
Dietary consumption was assessed by food frequency questionnaire in early life (ages 14–19), midlife (ages 40–50) and later life (AGES-Reykjavik baseline).15 The food frequency questionnaire assessed frequency of intake of 10 common foods and food groups, including fish and fish oil, using the same questions for all three time periods. The most commonly consumed fish in Iceland are cod and haddock,16 and both contain low levels of n – 3 PUFAs. Therefore, we focused on fish liver oil consumption (referred to as fish oil hereafter), which is rich in n – 3 PUFAs, as well as vitamin D. Fish oil consumption was categorized as never, < daily (< once a month, 1–3 times a month, 1–2 times a month or 5–6 times a week) or daily.
Statistical analysis
Because of known differences in physical function in older men and women,17 we stratified analyses by sex. Differences in baseline characteristics were examined using analysis of variance for continuous variables and χ2-tests for categorical variables.
Multivariate logistic regression analyses were used to examine baseline PUFAs in relation to odds of developing incident mobility disability and decline in gait speed. Effect estimates were expressed as odds ratios (OR) and corresponding 95% confidence intervals (CI) per sex-specific s.d. increments of PUFAs. Three models were fit; Model 1 was adjusted for age, waist circumference, education and the time between baseline and follow-up examination. Model 2 was adjusted for all variables of Model 1 plus smoking status, physical activity, hypertension, diabetes and coronary heart disease. The prevalence of daily fish oil consumption in the study population is high (62%). Besides being the main source of n – 3 PUFAs, it is also rich in vitamin D. Higher concentrations of n – 3 PUFAs18–20 and vitamin D21 are associated with lower cardiovascular disease events and cardiovascular disease risk factors. In turn, cardiovascular diseases are associated with mobility disability22 or limited activity.23,24 Therefore, we additionally adjusted for serum 25OHD in Model 3 to investigate associations between n – 3 PUFAs and odds of developing mobility disability and decline in gait speed, independent of vitamin D status. All models of decline in gait speed were additionally adjusted for gait speed at baseline. All P-values are two-tailed (α = 0.05). All analyses were performed using STATA version 12.1 (StataCorp, College Station, TX, USA).
RESULTS
The mean age of the analytic sample was 75.1 ± 5.0 years, with a body mass index of 27.3 ± 3.9 kg/m2. Differences between men and women are shown in Table 1. Compared with women, men had a larger waist circumference, were more educated, less likely to report never smoking, more physically active, more likely to have coronary heart disease and had higher concentrations of vitamin D, total and individual long chain n – 3 PUFAs (P < 0.05 for all).
Table 1.
Men n = 264 | Women n = 292 | P-value | |
---|---|---|---|
Age (years) | 75.1 ± 4.69 | 75.1 ± 5.26 | 0.993 |
Body mass index (kg/m2) | 27.0 ± 3.56 | 27.4 ± 4.12 | 0.232 |
Waist circumference (cm) | 102.4 ± 9.74 | 98.0 ± 11.9 | < 0.001 |
Education, n (%) | 0.004 | ||
< High School | 178 (67) | 219 (75) | |
High School | 42 (16) | 51 (17) | |
Postsecondary | 44 (17) | 22 (8) | |
Smoking status, n (%) | < 0.001 | ||
Never | 81 (31) | 155 (53) | |
Former | 157 (59) | 105 (36) | |
Current | 26 (10) | 32 (11) | |
Moderate to vigorous activity (hours/week) | 2.07 ± 2.73 | 1.43 ± 2.36 | 0.004 |
Vitamin D (nmol/l) | 59.3 ± 26.4 | 54.4 ± 26.5 | 0.029 |
Systolic blood pressure (mm Hg) | 143 ± 20 | 141 ± 18 | 0.102 |
Hypertension, n (%) | 214 (81) | 223 (76) | 0.178 |
Type 2 diabetes mellitus, n (%) | 28 (11) | 18 (6) | 0.058 |
Coronary heart disease, n (%) | 77 (29) | 39 (13) | < 0.001 |
Current fish oil intake, n (%) | 0.782 | ||
Never | 64 (24) | 72 (25) | |
< Daily | 38 (14) | 36 (12) | |
Daily | 162 (61) | 183 (63) | |
Plasma polyunsaturated fatty acids (relative % of total fatty acids) | |||
Long chain n - 3 PUFAs | 10.8 ± 3.11 | 9.93 ± 2.93 | < 0.001 |
Eicosapentaenoic acid | 3.13 ± 1.68 | 2.74 ± 1.60 | 0.006 |
Docosapentaenoic acid | 1.20 ± 0.21 | 1.11 ± 0.18 | < 0.001 |
Docosahexaenoic acid | 6.51 ± 1.51 | 6.08 ± 1.44 | < 0.001 |
Alpha-linoleic acid | 0.22 ± 0.07 | 0.22 ± 0.07 | 0.844 |
Long chain n - 6 PUFAs | 24.6±3.29 | 25.0 ± 2.75 | 0.139 |
Linoleic acid | 17.6 ± 3.10 | 17.9 ± 2.56 | 0.185 |
Arachidonic acid | 7.02 ± 1.65 | 7.08 ± 1.70 | 0.672 |
Abbreviations: AGES, Age, Gene/Environment Susceptibility; PUFAs, poly-unsaturated fatty acids. Values are presented as mean ± s.d. for continuous variables and number (%) for categorical variables.
PUFAs in relation to incident mobility disability and decline in gait speed
At follow-up, 17 (6.4%) men and 25 (8.6%) women reported mobility disability. Associations between s.d. increments in PUFAs with risk of mobility disability are presented in Table 2. In women, total long chain n – 3 PUFAs were associated with lower risk of mobility disability with minimal (Model 1) and further adjustments for life style factors and diseases (Model 2): OR 0.49 (95% CI 0.26; 0.93). Associations remained after further adjustment for serum 25OHD (Model 3): OR 0.48 (95% CI 0.25; 0.93). The protective effect of total long chain n – 3 PUFAs in relation to mobility disability mainly reflected associations between DHA and mobility disability risk. DHA was inversely associated with mobility disability risk in all models, with OR 0.45 (95% CI 0.24; 0.83) in Model 3. No other associations were observed for PUFAs in relation to mobility disability risk for men or for women.
Table 2.
Men n = 264 |
Women n = 292 |
|||||
---|---|---|---|---|---|---|
Model 1 (OR (95% CI)) | Model 2 (OR (95% CI)) | Model 3 (OR (95% CI)) | Model 1 (OR (95% CI)) | Model 2 (OR (95% CI)) | Model 3 (OR (95% CI)) | |
Long chain n - 3 PUFAs | 0.94 (0.49; 1.78) | 1.07 (0.54; 2.14) | 1.24 (0.57; 2.70) | 0.47 (0.25; 0.89) | 0.49 (0.26; 0.93) | 0.48 (0.25; 0.93) |
Eicosapentaenoic acid | 0.83 (0.42; 1.64) | 0.96 (0.45; 2.01) | 1.05 (0.47; 2.32) | 0.53 (0.28; 1.03) | 0.55 (0.28; 1.07) | 0.55 (0.28; 1.10) |
Docosapentaenoic acid | 0.79 (0.43; 1.45) | 0.82 (0.41; 1.60) | 0.85 (0.43; 1.70) | 1.02 (0.67; 1.56) | 1.07 (0.70; 1.66) | 1.12 (0.71; 1.74) |
Docosahexaenoic acid | 1.11 (0.60; 2.08) | 1.22 (0.65; 2.29) | 1.46 (0.70; 3.04) | 0.45 (0.25; 0.81) | 0.46 (0.26; 0.84) | 0.45 (0.24; 0.83) |
Alpha-linoleic acid | 1.16 (0.69; 1.93) | 1.12 (0.65; 1.93) | 1.11 (0.64; 1.94) | 1.36 (0.94; 1.97) | 1.42 (0.96; 2.09) | 1.40 (0.95; 2.07) |
Long chain n - 6 PUFAs | 0.92 (0.52; 1.65) | 0.79 (0.42; 1.48) | 0.72 (0.37; 1.41) | 1.35 (0.83; 2.19) | 1.32 (0.81; 2.16) | 1.29 (0.78; 2.15) |
Linoleic acid | 1.11 (0.60; 2.06) | 0.93 (0.46; 1.86) | 0.90 (0.44; 1.83) | 1.32 (0.83; 2.12) | 1.29 (0.80; 2.07) | 1.27 (0.78; 2.05) |
Arachidonic acid | 0.69 (0.34; 1.39) | 0.69 (0.34; 1.39) | 0.60 (0.28; 1.31) | 1.05 (0.67; 1.64) | 1.05 (0.65; 1.70) | 1.03 (0.63; 1.67) |
Abbreviations: CI, confidence interval; OR, odds ratio; PUFA, polyunsaturated fatty acids. Mobility disability was defined as having much difficulty or unable to walk 500 m and/or climb 10 steps at follow-up. Seventeen men and twenty-five women reported having mobility disability. Model 1 was adjusted for age, education, waist circumference and follow-up time. Model 2 was adjusted for model 1 plus smoking status, physical activity, hypertension, diabetes mellitus and heart disease. Model 3 was adjusted for model 2 plus serum vitamin D.
During follow-up, 101 (38.3%) men and 104 (35.6%) women had a clinically significant decline in gait speed. Table 3 depicts associations between s.d. increments in PUFAs with risk of gait speed decline. PUFAs were not associated with risk of gait speed decline in men or in women.
Table 3.
Men n = 264 |
Women n = 292 |
|||||
---|---|---|---|---|---|---|
Model 1 (OR (95% CI)) | Model 2 (OR (95% CI)) | Model 3 (OR (95% CI)) | Model 1 (OR (95% CI)) | Model 2 (OR (95% CI)) | Model 3 (OR (95% CI)) | |
Long chain n - 3 PUFAs | 0.89 (0.67; 1.19) | 0.89 (0.67; 1.19) | 0.79 (0.57; 1.09) | 0.86 (0.65; 1.12) | 0.84 (0.63; 1.11) | 0.90 (0.66; 1.23) |
Eicosapentaenoic acid | 0.85 (0.63; 1.14) | 0.86 (0.64; 1.16) | 0.76 (0.54; 1.06) | 0.84 (0.64; 1.11) | 0.82 (0.61; 1.10) | 0.88 (0.65; 1.20) |
Docosapentaenoic acid | 1.06 (0.81; 1.39) | 1.06 (0.81; 1.41) | 1.04 (0.78; 1.37) | 1.05 (0.81; 1.36) | 1.05 (0.80; 1.38) | 1.11 (0.84; 1.47) |
Docosahexaenoic acid | 0.94 (0.71; 1.24) | 0.93 (0.70; 1.23) | 0.83 (0.61; 1.14) | 0.87 (0.67; 1.15) | 0.86 (0.65; 1.14) | 0.92 (0.68; 1.25) |
Alpha-linoleic acid | 0.94 (0.71; 1.24) | 0.94 (0.70; 1.25) | 0.94 (0.70; 1.25) | 1.09 (0.85; 1.41) | 1.12 (0.87; 1.46) | 1.12 (0.86; 1.45) |
Long chain n - 6 PUFAs | 1.14 (0.86; 1.50) | 1.14 (0.86; 1.52) | 1.22 (0.91; 1.65) | 0.98 (0.75; 1.28) | 0.99 (0.75; 1.32) | 0.93 (0.70; 1.25) |
Linoleic acid | 1.22 (0.92; 1.62) | 1.26 (0.94; 1.69) | 1.30 (0.97; 1.75) | 0.99 (0.76; 1.30) | 0.99 (0.75; 1.30) | 0.96 (0.72; 1.26) |
Arachidonic acid | 0.90 (0.68; 1.19) | 0.86 (0.64; 1.15) | 0.90 (0.66; 1.22) | 0.98 (0.75; 1.28) | 1.01 (0.76; 1.34) | 0.97 (0.72; 1.29) |
Abbreviations: CI, confidence interval; OR, odds ratio; PUFA, polyunsaturated fatty acids. 101 men and 104 women had a decline in gait speed (decline of ≥ 0.10 m/s). Model 1 was adjusted for age, education, waist circumference, baseline gait speed and follow-up time. Model 2 was adjusted for model 1 plus smoking status, physical activity, hypertension, diabetes mellitus and heart disease. Model 3 was adjusted for model 2 plus serum vitamin D.
DISCUSSION
In this study, plasma phospholipid long-chain n – 3 PUFAs, and in particular DHA, were associated with lower risk of mobility disability in women but not in men. We observed no associations for plasma phospholipid long-chain n – 3 PUFAs with decline in gait speed. Plasma phospholipid long chain n – 6 PUFAs were not associated with mobility disability or decline in gait speed.
Few studies have investigated relations of plasma phospholipid PUFAs with longitudinal measures of physical function in older populations. Consistent with our finding, results from the InCHIANTI study showed that baseline plasma n – 3 PUFAs were inversely associated with the risk of developing impaired physical performance, but no associations for long chain n – 6 PUFAs were observed.6 In a Japanese study, higher intake of long chain n – 3 PUFAs was associated with shorter timed up and go tests in men but not in women.5 In contrast, another study showed no associations between self-reported n – 3 PUFAs and physical performance measures such as chair rise, grip strength and walking speed,3 casting doubt over the role of n – 3 PUFAs in physical function. In addition to our analyses between plasma phospholipid PUFAs with physical function, we determined associations for fish consumption in relation to physical function. Spearman correlations showed that current fish oil consumption was moderately correlated with EPA, r = 0.42, and DHA levels, r = 0.40 (both P < 0.001). Our results do not appear to support a major role for fish oil consumption in relation to mobility disability or decline in gait speed (Supplementary Table 2). This may be explained by the limited number of events per fish oil intake group, which might have resulted in low statistical power to detect significant differences. Our study population is also typified by a high intake of fish and fish oil, which may mean that the reference group has a more favorable fatty acid profile compared with other studies.
A potential mechanism for the observed associated between n – 3 PUFAs in relation to lower mobility disability risk is the incorporation of PUFAs into membranes of the skeletal muscle. Several trials in animals25 and humans26–28 have shown that supplementation of EPA and DHA increased PUFA content in muscle phospholipids. This leads to improved muscle composition due to the anti-inflammatory properties of long chain n – 3 PUFAs.29–31 Previously, in this study population, we showed that higher concentrations of total PUFAs cross-sectionally were associated with larger muscle size and with greater knee extension strength, and alpha-linolenic acid was associated with increased knee extension strength over time.2 As muscle size, composition and strength are related to physical function32,33 this may help explain our finding of an inverse relationship between n – 3 PUFA and risk of mobility disability among women. However, the reason for the null relationship in men is unclear. One other study reported gender differences whereby there were relationships between PUFAs and faster time up and go test in men but not women.5 In our study concentrations of n – 3 PUFAs were lower in women than men. It is possible that the odds of detecting associations are greater in women because the reference group includes individuals with a less favorable fatty acid profile compared with the reference group in men. However, further research is needed to fully understand the potential biological differences in these associations. There are also more indirect mechanisms whereby long chain n – 3 PUFAs decrease risk of mobility disability such as through their cardioprotective effects, for example, improved lipid profile, lower blood pressure, reduced heart rate and less arrhythmia.18,20 Those improvements, in turn, are associated with healthy aging34 and lower risk of physical decline.35 In addition, n – 3 PUFAs are also associated with decreased depression risk, which can indirectly lead to a lower risk of physical inactivity. A recent meta-analysis showed that supplementation of n – 3 PUFAs is beneficial in the treatment of patients with diagnosis of major depressive disorder.36 As depression itself is associated with worse physical function,37–39 higher PUFAs levels may in turn contribute to more active life, engagement in more physical activity and finally to better health status.
Interestingly, our results suggest that divergent relationships between n – 3 PUFAs and mobility disability and gait speed decline. In contrast to what we had hypothesized, we did not observe associations between plasma phospholipid PUFAs and decline in gait speed. Although, both mobility disability and gait speed provide indications of lower extremity function, mobility disability may capture more advanced decline in physical function as participants had to self-report much difficulty or being unable to walk a quarter mile or climb 10 steps. In comparison, a decline in gait speed of 0.10 m/s while walking on a straight, level surface, while clinically meaningful, may represent changes in function early in the pathway to disability. In our study, there was a higher percentage of participants with a decline in gait speed compared with incident mobility disability, 36.9% versus 7.6%, respectively. It is possible that n – 3 PUFAs are involved in processes that manifest later as a more severe mobility impairment. However, a recent randomized controlled trial performed in women showed that gait speed increased after fish oil supplementation of 1.2 g of EPA and DHA per day.7 It is possible that discrepancies are due to dose effects of fish oil.
Strengths and limitations
A strength of our study is the objective determination of plasma phospholipids fatty acids. This approach offers an advantage in that it reflects the absorption and metabolism of fatty acids and provides a more precise measure of fatty acid status than dietary estimates. It also has the advantage of quantifying individual PUFAs and therefore facilitates identification of fatty acids that may be particularly important for functional outcomes. Further strengths were that physical function was assessed at two time points using both self-reported and objectively measured mobility, and our analytic sample was restricted to participants who reported no or some mobility disability at baseline, which minimizes the possibility of reverse causation. However, our study was not without limitations. Plasma phospholipid PUFAs were determined at baseline only, and therefore we were not able to determine changes in PUFAs levels over time. Having multiple measurements of PUFAs might be of additional value as it would allow us to examine the influence of dynamic circulating PUFAs in relation to risk of incident mobility disability or gait speed decline. In addition, our study is limited by a small sample size. Future large longitudinal studies with multiple measurements of PUFAs could investigate changes in exposure status over time in relation to the physical function measures. Another limitation is our limited external validity as fish oil intake in Iceland is high and, for several decades, has been extremely common; 62% of study participants consumed fish oil daily. Finally, as we excluded individuals with mobility disability at baseline, our sample was likely healthier compared with other populations of comparable age and only consisted of Caucasians; therefore, our results may not be applicable to a general population of older adults.
In conclusion, in this study of older men and women without mobility disability at baseline, we showed that higher concentrations of long chain n – 3 PUFAs, especially DHA, are associated with lower mobility disability risk in women after 5 years of follow-up. Other longitudinal studies are needed to confirm these associations and to examine mechanisms.
Supplementary Material
ACKNOWLEDGEMENTS
The authors thank the study participants and the Icelandic Heart Association clinic staff for their contribution. This Age, Gene/Environment Susceptibility-Reykjavik Study has been funded by the National Institutes of Health Office of Dietary Supplements, NIH contract N01-AG012100, the National Institute on Aging Intramural Research Program and the National Eye Institute (ZIAEY00401), with contributions from National Institute on Deafness and Other Communication Disorders and National Heart, Lung and Blood Institute, Hjartavernd (the Icelandic Heart Association) and the Althingi (the Icelandic Parliament). We also acknowledge Pho Diep for technical assistance with the fatty acid analyses. RAM holds a Banting Postdoctoral Fellowship.
Footnotes
CONFLICT OF INTEREST
The authors declare no conflict of interest.
Supplementary Information accompanies this paper on European Journal of Clinical Nutrition website (http://www.nature.com/ejcn)
REFERENCES
- 1.Fried LP, Ferrucci L, Darer J, Williamson JD, Anderson G. Untangling the concepts of disability, frailty, and comorbidity: implications for improved targeting and care. J Gerontol A Biol Sci Med Sci. 2004;59:255–263. doi: 10.1093/gerona/59.3.m255. [DOI] [PubMed] [Google Scholar]
- 2.Reinders I, Song X, Visser M, Eiriksdottir G, Gudnason V, Sigurdsson S, et al. Plasma phospholipid PUFAs are associated with greater muscle and knee extension strength but not with changes in muscle parameters in older adults. J Nutr. 2015;145:105–112. doi: 10.3945/jn.114.200337. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Rousseau JH, Kleppinger A, Kenny AM. Self-reported dietary intake of omega-3 fatty acids and association with bone and lower extremity function. J Am Geriatr Soc. 2009;57:1781–1788. doi: 10.1111/j.1532-5415.2008.01870.x. [DOI] [PubMed] [Google Scholar]
- 4.Robinson SM, Jameson KA, Batelaan SF, Martin HJ, Syddall HE, Dennison EM, et al. Diet and its relationship with grip strength in community-dwelling older men and women: the Hertfordshire cohort study. J Am Geriatr Soc. 2008;56:84–90. doi: 10.1111/j.1532-5415.2007.01478.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Takayama M, Arai Y, Sasaki S, Hashimoto M, Shimizu K, Abe Y, et al. Association of marine-origin n-3 polyunsaturated fatty acids consumption and functional mobility in the community-dwelling oldest old. J Nutr Health Aging. 2013;17:82–89. doi: 10.1007/s12603-012-0389-1. [DOI] [PubMed] [Google Scholar]
- 6.Abbatecola AM, Cherubini A, Guralnik JM, Andres Lacueva C, Ruggiero C, Maggio M, et al. Plasma polyunsaturated fatty acids and age-related physical performance decline. Rejuvenation Res. 2009;12:25–32. doi: 10.1089/rej.2008.0799. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Hutchins-Wiese HL, Kleppinger A, Annis K, Liva E, Lammi-Keefe CJ, Durham HA, et al. The impact of supplemental n-3 long chain polyunsaturated fatty acids and dietary antioxidants on physical performance in postmenopausal women. J Nutr Health Aging. 2013;17:76–80. doi: 10.1007/s12603-012-0415-3. [DOI] [PubMed] [Google Scholar]
- 8.Bjornsson OJ, Davidsson D, Olafsson H, Olafsson O, Sigfusson N, Th T. Participants, Invitation, Response etc. The Icelandic Heart Association; Reykjavik, Iceland: 1979. Report XVIII. Health Survey in the Reykjavik Area. – Men. Stages I-III, 1967-1968, 1970-1971 and 1974-1975. [Google Scholar]
- 9.Bjornsson G, Bjornsson OJ, Davidsson D, Kristjansson BTh, Olafsson O, Sigfusson N, et al. Participants, Invitation, Response etc. The Icelandic Heart Association; Reykjavík, Iceland: 1982. Report abc XXIV. Health Survey in the Reykjavik Area. - Women. Stages I-III, 1968-1969, 1971-1972 and 1976-1978. [Google Scholar]
- 10.Harris TB, Launer LJ, Eiriksdottir G, Kjartansson O, Jonsson PV, Sigurdsson G, et al. Age, Gene/Environment Susceptibility-Reykjavik Study: multidisciplinary applied phenomics. Am J Epidemiol. 2007;165:1076–1087. doi: 10.1093/aje/kwk115. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Schelbert EB, Cao JJ, Sigurdsson S, Aspelund T, Kellman P, Aletras AH, et al. Prevalence and prognosis of unrecognized myocardial infarction determined by cardiac magnetic resonance in older adults. JAMA. 2012;308:890–896. doi: 10.1001/2012.jama.11089. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Schlierf G, Wood P. Quantitative Determination of Plasma Free Fatty Acids and Triglycerides by Thin-Layer Chromatography. J Lipid Res. 1965;6:317–319. [PubMed] [Google Scholar]
- 13.Lepage G, Roy CC. Direct transesterification of all classes of lipids in a one-step reaction. J Lipid Res. 1986;27:114–120. [PubMed] [Google Scholar]
- 14.Studenski S, Perera S, Patel K, Rosano C, Faulkner K, Inzitari M, et al. Gait speed and survival in older adults. JAMA. 2011;305:50–58. doi: 10.1001/jama.2010.1923. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Eysteinsdottir T, Thorsdottir I, Gunnarsdottir I, Steingrimsdottir L. Assessing validity of a short food frequency questionnaire on present dietary intake of elderly Icelanders. Nutr J. 2012;11:12. doi: 10.1186/1475-2891-11-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Gunnarsdottir I, Gunnarsdottir BE, Steingrimsdottir L, Maage A, Johannesson AJ, Thorsdottir I. Iodine status of adolescent girls in a population changing from high to lower fish consumption. Eur J Clin Nutr. 2010;64:958–964. doi: 10.1038/ejcn.2010.100. [DOI] [PubMed] [Google Scholar]
- 17.Tseng LA, Delmonico MJ, Visser M, Boudreau RM, Goodpaster BH, Schwartz AV, et al. Body composition explains sex differential in physical performance among older adults. J Gerontol A Biol Sci Med Sci. 2014;69:93–100. doi: 10.1093/gerona/glt027. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Mozaffarian D, Wu JH. Omega-3 fatty acids and cardiovascular disease: effects on risk factors, molecular pathways, and clinical events. J Am Coll Cardiol. 2011;58:2047–2067. doi: 10.1016/j.jacc.2011.06.063. [DOI] [PubMed] [Google Scholar]
- 19.Calder PC. Polyunsaturated fatty acids and inflammatory processes: New twists in an old tale. Biochimie. 2009;91:791–795. doi: 10.1016/j.biochi.2009.01.008. [DOI] [PubMed] [Google Scholar]
- 20.Poudyal H, Panchal SK, Diwan V, Brown L. Omega-3 fatty acids and metabolic syndrome: effects and emerging mechanisms of action. Prog Lipid Res. 2011;50:372–387. doi: 10.1016/j.plipres.2011.06.003. [DOI] [PubMed] [Google Scholar]
- 21.Kunadian V, Ford GA, Bawamia B, Qiu W, Manson JE. Vitamin D deficiency and coronary artery disease: A review of the evidence. Am Heart J. 2014;167:283–291. doi: 10.1016/j.ahj.2013.11.012. [DOI] [PubMed] [Google Scholar]
- 22.Klijs B, Nusselder WJ, Looman CW, Mackenbach JP. Contribution of chronic disease to the burden of disability. PLoS One. 2011;6:e25325. doi: 10.1371/journal.pone.0025325. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.National Center for Health Statistics . Health, United States, 2008. Hyattsville, MD: 2009. [PubMed] [Google Scholar]
- 24.Barreira TV, Harrington DM, Katzmarzyk PT. Cardiovascular health metrics and accelerometer-measured physical activity levels: National Health and Nutrition Examination Survey, 2003-2006. Mayo Clin Proc. 2014;89:81–86. doi: 10.1016/j.mayocp.2013.10.001. [DOI] [PubMed] [Google Scholar]
- 25.Owen AJ, Peter-Przyborowska BA, Hoy AJ, McLennan PL. Dietary fish oil dose- and time-response effects on cardiac phospholipid fatty acid composition. Lipids. 2004;39:955–961. doi: 10.1007/s11745-004-1317-0. [DOI] [PubMed] [Google Scholar]
- 26.Dangardt F, Chen Y, Gronowitz E, Dahlgren J, Friberg P, Strandvik B. High physiological omega-3 Fatty Acid supplementation affects muscle Fatty Acid composition and glucose and insulin homeostasis in obese adolescents. J Nutr Metab. 2012;2012:395757. doi: 10.1155/2012/395757. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Andersson A, Nalsen C, Tengblad S, Vessby B. Fatty acid composition of skeletal muscle reflects dietary fat composition in humans. Am J Clin Nutr. 2002;76:1222–1229. doi: 10.1093/ajcn/76.6.1222. [DOI] [PubMed] [Google Scholar]
- 28.Herbst EA, Paglialunga S, Gerling C, Whitfield J, Mukai K, Chabowski A, et al. Omega-3 supplementation alters mitochondrial membrane composition and respiration kinetics in human skeletal muscle. J Physiol. 2014;592:1341–1352. doi: 10.1113/jphysiol.2013.267336. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Simopoulos AP. Omega-3 fatty acids in inflammation and autoimmune diseases. J Am Coll Nutr. 2002;21:495–505. doi: 10.1080/07315724.2002.10719248. [DOI] [PubMed] [Google Scholar]
- 30.De Caterina R, Libby P. Control of endothelial leukocyte adhesion molecules by fatty acids. Lipids. 1996;31:S57–S63. doi: 10.1007/BF02637052. [DOI] [PubMed] [Google Scholar]
- 31.Massaro M, Habib A, Lubrano L, Del Turco S, Lazzerini G, Bourcier T, et al. The omega-3 fatty acid docosahexaenoate attenuates endothelial cyclooxygenase-2 induction through both NADP(H) oxidase and PKC epsilon inhibition. Proc Natl Acad Sci USA. 2006;103:15184–15189. doi: 10.1073/pnas.0510086103. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Visser M, Goodpaster BH, Kritchevsky SB, Newman AB, Nevitt M, Rubin SM, et al. Muscle mass, muscle strength, and muscle fat infiltration as predictors of incident mobility limitations in well-functioning older persons. J Gerontol A Biol Sci Med Sci. 2005;60:324–333. doi: 10.1093/gerona/60.3.324. [DOI] [PubMed] [Google Scholar]
- 33.Hairi NN, Cumming RG, Naganathan V, Handelsman DJ, Le Couteur DG, Creasey H, et al. Loss of muscle strength, mass (sarcopenia), and quality (specific force) and its relationship with functional limitation and physical disability: the Concord Health and Ageing in Men Project. J Am Geriatr Soc. 2010;58:2055–2062. doi: 10.1111/j.1532-5415.2010.03145.x. [DOI] [PubMed] [Google Scholar]
- 34.Burke GL, Arnold AM, Bild DE, Cushman M, Fried LP, Newman A, et al. Factors associated with healthy aging: the cardiovascular health study. J Am Geriatr Soc. 2001;49:254–262. doi: 10.1046/j.1532-5415.2001.4930254.x. [DOI] [PubMed] [Google Scholar]
- 35.Kuo HK, Jones RN, Milberg WP, Tennstedt S, Talbot L, Morris JN, et al. Effect of blood pressure and diabetes mellitus on cognitive and physical functions in older adults: a longitudinal analysis of the advanced cognitive training for independent and vital elderly cohort. J Am Geriatr Soc. 2005;53:1154–1161. doi: 10.1111/j.1532-5415.2005.53368.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Grosso G, Pajak A, Marventano S, Castellano S, Galvano F, Bucolo C, et al. Role of omega-3 fatty acids in the treatment of depressive disorders: a comprehensive meta-analysis of randomized clinical trials. PLoS One. 2014;9:e96905. doi: 10.1371/journal.pone.0096905. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Surtees PG, Wainwright NW, Khaw KT, Day NE. Functional health status, chronic medical conditions and disorders of mood. Br J Psychiatry. 2003;183:299–303. doi: 10.1192/bjp.183.4.299. [DOI] [PubMed] [Google Scholar]
- 38.Russo A, Cesari M, Onder G, Zamboni V, Barillaro C, Pahor M, et al. Depression and physical function: results from the aging and longevity study in the Sirente geographic area (ilSIRENTE Study). J Geriatr Psychiatry Neurol. 2007;20:131–137. doi: 10.1177/0891988707301865. [DOI] [PubMed] [Google Scholar]
- 39.Spijker J, Graaf R, Bijl RV, Beekman AT, Ormel J, Nolen WA. Functional disability and depression in the general population. Results from the Netherlands Mental Health Survey and Incidence Study (NEMESIS). Acta Psychiatr Scand. 2004;110:208–214. doi: 10.1111/j.1600-0447.2004.00335.x. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.