Association of Alternative Dietary Patterns with Osteoporosis and Fracture Risk in Older People: A Scoping Review

PURPOSE

Although the Mediterranean diet has been associated with a lower risk of hip fracture, the effect of other dietary patterns on bone density and risk of fracture is unknown. This scoping review aims to investigate the association between adherence to alternative dietary patterns (other than the traditional Mediterranean diet) and osteoporosis or osteoporotic fracture risk in older people.

METHODS

A systematic search was carried out on three electronic databases (Medline, EMBASE, and Scopus) to identify original papers studying the association between alternative dietary patterns (e.g., Baltic Sea Diet (BSD), modified/alternative Mediterranean diet in non-Mediterranean populations, Dietary Approaches to Stop Hypertension (DASH)) assessed using 'prior' methods (validated scores) and the risk of osteoporotic fracture or Bone Mineral Density (BMD) in people aged ≥50 (or reported average age of participants ≥ 60). Results from the included studies were presented in a narrative way.

RESULTS

Six observational (four prospective cohort and two cross-sectional) studies were included. There was no significant association between BMD and BSD or DASH scores. Higher adherence to DASH was associated with a lower risk of lumbar spine osteoporosis in women in one study, although it was not associated with the risk of hip fracture in another study with men and women. Higher adherence to aMED (alternative Mediterranean diet) was associated with a lower risk of hip fracture in one study, whereas higher adherence to mMED (modified Mediterranean diet) was associated with a lower risk of hip fracture in one study and had no significant result in another study. However, diet scores were heterogeneous across cohort studies.

CONCLUSIONS

There is some evidence that a modified and alternative Mediterranean diet may reduce the risk of hip fracture, and DASH may improve lumbar spine BMD. Larger cohort studies are needed to validate these findings.

Development and description of New Nordic Diet scores across infancy and childhood in the Norwegian Mother, Father and Child Cohort Study (MoBa)

In recent years, examining dietary patterns has become a more common way of investigating potential associations between diet and adverse health outcomes. The New Nordic Diet (NND) is a potentially healthy and sustainable dietary pattern characterized by foods that are locally available and traditionally consumed in the Nordic countries. The diet has been typically examined in adult populations, and less is known about compliance to the NND from infancy throughout childhood. In the current study, we therefore aimed to develop and describe child age‐specific NND scores. This study is based on the Norwegian Mother, Father and Child Cohort Study (MoBa) and uses data from the Medical Birth Registry of Norway (MBRN). We have previously developed a NND score for the maternal diet during pregnancy, and the development of the child diet scores was based on the rationale of this score. Food frequency data from n = 89 715 at child age 6 months, n = 76 432 at 18 months, n = 58 884 at 3 years, and n = 35 978 at 7 years were used to construct subscales in accordance with the maternal diet score. Subscales were composed of responses to a selection of food and drink items or other questions and were dichotomized by the median, yielding four age‐specific diet scores where the possible scoring ranged from 0 to 6 at 6 months and 3 years and from 0 to 9 at 18 months and 7 years. The developed scores will be used to examine associations with childhood overweight and cognitive and mental development in future studies.

Metabolomic markers of healthy dietary patterns in US postmenopausal women

BACKGROUND

Healthy diet patterns are associated with lower risk of cancer and other chronic diseases. Metabolomics has the potential to expand dietary biomarker development to include dietary patterns, which may provide a complement or alternative to self-reported diet.

OBJECTIVE

This study examined the correlation of serum untargeted metabolomic markers with 4 diet pattern scores-the alternate Mediterranean diet score (aMED), alternate Healthy Eating Index (AHEI)-2010, the Dietary Approaches to Stop Hypertension (DASH) diet, and the Healthy Eating Index (HEI)-2015-and used multivariate methods to identify discriminatory metabolites for each pattern.

METHODS

Among 1367 US postmenopausal women with serum metabolomic data in the Cancer Prevention Study-II Nutrition Cohort, we conducted partial correlation analysis, adjusted for demographic and lifestyle variables, to examine cross-sectional correlations between serum metabolomic markers and healthy diet pattern scores. In a randomly selected "training" set (50%), we conducted orthogonal partial least-squares discriminant analysis to identify metabolites that discriminated the top from bottom diet score quintiles. Combinations of metabolites with a variable importance in projection (VIP) score ≥2.5 were tested for predictability in the "testing" set based on the use of receiver operating characteristic curves.

RESULTS

Out of 1186 metabolites, 32 unique metabolites were considered discriminatory based on a VIP score ≥2.5 in the training dataset with some overlap across scores (aMED = 16; AHEI = 17; DASH = 13; HEI = 12). Spearman partial correlation analyses, applying a cut-point (|r| ≥ 0.15) and Bonferroni correction (P < 1.05 × 10-5), identified similar key metabolites. The top 5 metabolites for each pattern mostly distinguished high compared with low scores; 4 of the 5 (fish-derived) metabolites were the same for aMED and AHEI, 2 of which were identified for HEI; 4 DASH metabolites were unique.

CONCLUSIONS

Metabolomic methods that used a split-sample approach identified potential biomarkers for 4 healthy diet patterns. Similar metabolites across scores reflect fish consumption in healthy dietary patterns. These findings should be replicated in independent populations.

Diet quality and genetic association with body mass index: results from 3 observational studies

Background

It is unknown whether dietary quality modifies genetic association with body mass index (BMI).

Objective

This study examined whether dietary quality modifies genetic association with BMI.

Design

We calculated 3 diet quality scores including the Alternative Healthy Eating Index 2010 (AHEI-2010), the Alternative Mediterranean Diet score (AMED), and the Dietary Approach to Stop Hypertension (DASH) diet score. We examined the interactions of a genetic risk score (GRS) based on 97 BMI-associated variants with the 3 diet quality scores on BMI in 30,904 participants from 3 large cohorts.

Results

We found significant interactions between total GRS and all 3 diet scores on BMI assessed after 2-3 y, with an attenuated genetic effect observed in individuals with healthier diets (AHEI: P-interaction = 0.003; AMED: P = 0.001; DASH: P = 0.004). For example, the difference in BMI (kg/m2) per 10-unit increment of the GRS was smaller among participants in the highest tertile of AHEI score compared with those in the lowest tertile (0.84; 95% CI: 0.72, 0.96 compared with 1.14; 95% CI: 0.99, 1.29). Results were consistent across the 3 cohorts with no significant heterogeneity. The interactions with diet scores on BMI appeared more significant for central nervous system GRSs (P < 0.01 for 3 diet scores) than for non-central nervous system GRSs (P > 0.05 for 3 diet scores).

Conclusions

A higher diet quality attenuated genetic predisposition to obesity. These findings underscore the importance of maintaining a healthful diet for the prevention of obesity, particularly for those individuals with a strong genetic predisposition to obesity. This trial was registered with the Clinical Trial Registry as NCT03577639.

Association between Diet-Quality Scores, Adiposity, Total Cholesterol and Markers of Nutritional Status in European Adults: Findings from the Food4Me Study

Diet-quality scores (DQS), which are developed across the globe, are used to define adherence to specific eating patterns and have been associated with risk of coronary heart disease and type-II diabetes. We explored the association between five diet-quality scores (Healthy Eating Index, HEI; Alternate Healthy Eating Index, AHEI; MedDietScore, MDS; PREDIMED Mediterranean Diet Score, P-MDS; Dutch Healthy Diet-Index, DHDI) and markers of metabolic health (anthropometry, objective physical activity levels (PAL), and dried blood spot total cholesterol (TC), total carotenoids, and omega-3 index) in the Food4Me cohort, using regression analysis. Dietary intake was assessed using a validated Food Frequency Questionnaire. Participants (n = 1480) were adults recruited from seven European Union (EU) countries. Overall, women had higher HEI and AHEI than men (p < 0.05), and scores varied significantly between countries. For all DQS, higher scores were associated with lower body mass index, lower waist-to-height ratio and waist circumference, and higher total carotenoids and omega-3-index (p trends < 0.05). Higher HEI, AHEI, DHDI, and P-MDS scores were associated with increased daily PAL, moderate and vigorous activity, and reduced sedentary behaviour (p trend < 0.05). We observed no association between DQS and TC. To conclude, higher DQS, which reflect better dietary patterns, were associated with markers of better nutritional status and metabolic health.

International food group-based diet quality and risk of coronary heart disease in men and women

Background

Standard diet quality assessment tools, which measure micronutrient sufficiency and food consumption related to disease and applicable to different populations, are needed to track progress in meeting the Sustainable Development Goals related to hunger, food security, and nutrition. Diet quality scores have been constructed for high- and low-income countries, but none are simple to administer or applicable internationally.

Objective

We prospectively examined the association between the Food Group Index (FGI), the Minimal Diet Diversity Score for Women (MDDW), and a new Prime Diet Quality Score (PDQS), and the risk of ischemic heart disease (IHD) in 3 US cohorts.

Design

In total, 75,045 women (baseline age 43-63 y), 43,966 men (aged 40-75 y), and 93,131 younger women (aged 27-44 y) without a history of cardiovascular disease were followed up to 28 y. Diet was assessed multiple times using food frequency questionnaires and the 3 diet quality scores were computed for each individual. The association with IHD was modeled with Cox proportional hazard models, controlling for potential confounders.

Results

During follow-up, we ascertained 2908 incident IHD cases in the Nurses' Health Study, 3722 in the Health Professionals Follow-up Study, and 505 in the Nurses' Health Study II. The FGI was not associated with total IHD in any cohort. The PDQS was significantly associated with IHD in all 3 cohorts separately and the pooled RR for each SD increase was 0.89 (95% CI: 0.87, 0.91). This was significantly different than the pooled RR of 0.93 for MDDW (95% CI: 0.90, 0.96) and the RR of 0.98 for the FGI (95% CI: 0.95, 1.01). The association did not appear to differ by age.

Conclusion

We found that the PDQS with the most detailed differentiation of healthy and unhealthy foods was associated with a lower risk of IHD in a high-income country. On the other hand, diet quality scores that do not account for unhealthy foods had a limited association with IHD.

Higher diet quality does not predict lower Medicare costs but does predict number of claims in mid-aged Australian women

Optimal dietary quality, indicated by higher diet quality index scores, reflects greater adherence to National dietary recommendations and is also associated with lower morbidity and mortality from chronic disease. Whether this is reflected in lower health care cost over time has rarely been examined. The aim of this study was to examine whether higher diet quality, as measured by the Australian Recommended Food Score (ARFS), was associated with lower health care costs within the mid-aged cohort of the Australian Longitudinal Study on Women's Health. We found that there was a statistically significant association between five year cumulative costs and ARFS, but in the opposite direction to that predicted, with those in the highest quintiles of ARFS having higher health care costs. However the number of Medicare claims over the six year period (2002-2007) was lower for those in the highest compared with the lowest quintile, p = 0.002. There is a need to monitor both costs and claims over time to examine health care usage in the longer term in order to determine whether savings are eventually obtained for those with the dietary patterns that adhere more closely to National recommendations.

Diet scores and cardio-metabolic risk factors among Guatemalan young adults

We assessed the association of four diet quality scores with multiple cardio-metabolic outcomes among Guatemalan young adults experiencing the nutrition transition. We obtained cross-sectional dietary, demographic, anthropometric and cardio-metabolic risk factor data from 1220 Guatemalan adults (mean age 32.7 (sd 5.8) years) in 2002-4, and computed a Recommended Food Score (RFS), Not Recommended Food Score (NRFS), Food Variety Score (FVS) and the Dietary Quality Index-International (DQI-I). All four scores were correlated with energy intake (r 0.23-0.49; all P < 0.01), but had varying associations with socio-demographic characteristics, lifestyle factors and nutrient intakes. None of the scores was inversely associated with the metabolic syndrome or its components; rather some were positively associated with risk factors. Among both men and women the DQI-I was positively associated with BMI (kg/m2; beta = 0.10, 95 % CI 0.003, 0.21 (men); beta = 0.07, 95 % CI 0.01, 0.14 (women)) and waist circumference (cm; beta = 0.02, 95 % CI 0.01, 0.03 (men); beta = 0.02, 95 % CI = 0.01, 0.02 (women)). Among men, the RFS was positively associated with TAG (mg/l; beta = 0.11, 95 % CI 0.02, 0.21) and glucose (mg/l; beta = 0.13: 95 % CI 0.03, 0.22). We conclude that indices of diet quality are not consistently associated with chronic disease risk factor prevalence in this population of Guatemalan young adults.