Association Between Dietary Quality and Mortality in Older Adults: A Review of the Epidemiological Evidence

The population is aging worldwide. Delayed mortality is associated with an increased burden of chronic health conditions, many of which have a dietary component. A literature search was conducted to retrieve and review relevant articles considering quality of diets in association with mortality in older adults aged 60 years and older. In the studies we reviewed, diet quality defined using either a priori methods, which characterize dietary patterns based on existing dietary guidelines, or a posteriori methods, which define dietary patterns through statistical methods met review criteria. Sixteen articles met criteria for review. Generally, dietary patterns that demonstrated greater adherence to diets that emphasized whole fruits and vegetables, whole grains, low-fat dairy, lean meats, and legumes and nuts were inversely associated with mortality. However, a priori methods have not yet demonstrated associations between diet and mortality in older adults in the United States. Development of new methods based on regional variations in dietary intake may offer the best approach to assess associations with mortality.     

The Association of Dietary Patterns and Weight Change in Rural Older Adults 75 Years and Older

Little is known about the relationship between weight change and dietary patterns (DP) in older adults, especially in those of advanced age (≥75 years). We examined the association of DP with obesity and five-year weight change in community-dwelling older adults (n = 270; mean ± SD age: 78.6 ± 3.9 years). Dietary data were collected from four, random, 24-hour dietary recalls over a 10-month period. Weight change was examined as: (1) 10-pound weight loss; (2) 10-pound weight gain; (3) 10% weight loss; and (4) 10% weight gain. Cluster analysis was used to derive 3 DP (“Health-conscious,” “Sweets and dairy,” and “Western”). Kaplan-Meier plots and Cox proportional hazards regression models were used. About 39% of participants lost at least 10 pounds during follow up. In the unadjusted model, five-year weight loss was not associated with dietary pattern. However, when stratified by gender, females who were characterized by the Sweets and Dairy and the Western DP were three and two times more likely to lose 10 pounds, respectively, compared to those in the Health-conscious DP (P < 0.05). These observations suggest that it is appropriate to recommend a Health-conscious DP for women 75 years and older who may be at risk for weight loss.     

Environmental Strategies to Promote Food Intake in Older Adults: A Narrative Review

Aging is often accompanied by lower intakes of food energy and consequent negative effects on health. To some extent this is due to declines in physiological ability, including the sensory responsiveness to regulate food intake. Fortunately, environmental factors may still influence food intake in older adults. Factors such as social facilitation, modeling, and nutrition knowledge and skills have been shown to stimulate their food intake. While environmental factors such as the eating location, portion size, food presentation, and labeling are known to influence eating behavior, their effectiveness in stimulating food intake in older persons is not well delineated. It is suggested that improving the environmental stimuli that promote food intake is a viable strategy to overcome age-related declines in nutrient intakes. This strategy is so promising that further research is warranted.     

Body Mass Index (BMI) Trajectories from Birth to 11.5 Years: Relation to Early Life Food Intake

Recent research has shown that the pattern of change over time, or trajectory, of body mass index (BMI) varies among children. However, the factors that underlie the heterogeneity in these trajectories remain largely unexplored. Our aim was to use a growth mixture model to empirically identify classes of BMI trajectories (from birth to 11.5 years) and examine the effects of breastfeeding, introduction of solids, as well as food and nutrient intake at 18 months on these BMI trajectories. We identified three BMI growth trajectories between birth and age 11.5 years, separately in boys and girls. Breastfeeding duration less than six months and the early introduction of solids did not adversely influence BMI trajectories in our sample but high intakes of meat, particularly high fat varieties, and high intakes of carbohydrate at age around 18 months were associated with a high BMI trajectory in boys. It is not clear whether these dietary factors confer a direct risk of higher BMI in childhood or are markers for other dietary patterns that are present early and/or develop through childhood and contribute to higher BMI.     

Fiber Intake of Older Adults

This study evaluated reported dietary fiber and mineral intakes of 45 healthy adults, 60 years and over, using two sets of three-day dietary food records. The average age of the participants was 73 years, with an age range of 60 to 87 years. Mean reported dietary fiber intake was 18.3 g per day. Percentage of dietary fiber from different food sources was; breads and cereals 33%, vegetables 22%, fruits 21%, beans and legumes 7%, nuts and seeds 3%, combination foods 7% and others 7%. Significant positive correlations were observed between dietary fiber intake and copper, magnesium, selenium, potassium, iron and zinc intakes. Those participants with dietary fiber intakes of 20 g/day or more had significantly higher intakes of copper, magnesium, selenium, potassium and iron compared to those who had dietary fiber intakes less than 20 g/day, although mean kilocalorie intakes were not significantly different. Thus, increasing grain products, vegetables and fruits to increase dietary fiber intake, also may improve the mineral intakes of older adults.     

Association of Body Mass Index and Plant-Based Diet with Cognitive Impairment among Older Chinese Adults: A Prospective,Nationwide Cohort Study

To examine the association of body mass index (BMI) and a plant-based diet (PBD) with cognitive impairment in older adults, this cohort study used data from the Chinese Longitudinal Healthy Longevity Survey (CLHLS), a national, community-based, longitudinal, prospective study in China. Cognitive function was evaluated via the Mini-Mental State Examination (MMSE). Diet was assessed using a simplified food frequency questionnaire (FFQ), and PBD patterns were estimated using the overall plant-based diet index (PDI), the healthful plant-based diet index (hPDI), and the unhealthful plant-based diet index (uPDI). BMI was measured objectively during the physical examination. Cox proportional hazard models and restricted cubic spline analyses were used. A total of 4792 participants with normal cognition at baseline were included, and 1077 participants were identified as having developed cognitive impairment during the 24,156 person-years of follow-up. A reverse J-shaped association was observed between BMI and cognitive impairment (p = 0.005 for nonlinearity). Participants who were overweight (HR = 0.79; 95% CI 0.66–0.95) and obese (HR = 0.72; 95% CI 0.54–0.96) had a decreased risk of cognitive impairment, while those who were underweight (HR = 1.42; 95% CI 1.21–1.66) had an increased risk. Lower PDI, lower hPDI, and higher uPDI were associated with an increased risk of cognitive impairment (HR = 1.32; 95% CI 1.16–1.50 for PDI; HR = 1.46; 95% CI 1.29–1.66 for hPDI; HR = 1.21; 95% CI 1.06–1.38 for uPDI). The protective effect of being overweight on cognitive impairment was more pronounced among participants with a higher PDI (HR = 0.74; 95% CI 0.57–0.95) than those with a lower PDI (HR = 0.87; 95% CI 0.67–1.12), among participants with a higher hPDI (HR = 0.73; 95% CI 0.57–0.94) than those with a lower hPDI (HR = 0.93; 95% CI 0.72–1.10), and among participants with a lower uPDI (HR = 0.61; 95% CI 0.46–0.80) than those with a higher uPDI (HR = 1.01; 95% CI 0.80–1.27). Our results support the positive associations of overweight status, obesity, an overall PBD, and a healthful PBD with cognitive function in older adults. A lower adherence to an overall PBD, a healthful PBD, and a higher adherence to an unhealthful PBD may attenuate the protective effect of being overweight on cognitive function.     

An Increase in Fat-Free Mass is Associated with Higher Appetite and Energy Intake in Older Adults: A Randomised Control Trial

Cross-sectional studies in younger adults have demonstrated a positive association between energy intake (EI) and fat-free mass (FFM), with this relationship seemingly mediated by resting metabolic rate (RMR). Establishing a causal effect longitudinally would be prudent in older adults suffering from loss of appetite. We investigated the effects of FFM on RMR, appetite and EI in 39 healthy older adults (age: 66 ± 4 years, BMI: 25.1 ± 3.5 kg∙m²) assigned to either 12-week resistance training + protein supplementation group (RT + PRO) or control group (CON). Body composition, subjective appetite, leptin, insulin, RMR and laboratory-measured ad libitum EI were measured at baseline, weeks 6 and 12 of the intervention, while daily EI at baseline and week 12. FFM (+1.2 kg; p = 0.002), postprandial subjective appetite (+8 mm; p = 0.027), ad libitum EI (+119 kcal; p = 0.012) and daily EI (+133 kcal; p = 0.010) increased from baseline to week 12 in the RT + PRO. RMR, fasted subjective appetite, leptin and insulin concentrations remained unchanged (all p > 0.05). The increases ad libitum EI correlated with increases in FFM (r = 0.527, p = 0.001), with 54% of the change in EI attributed to FFM changes. In conclusion, FFM increases were associated with an increased ad libitum EI and postprandial appetite in older adults.     

Impact of Denture Usage Patterns on Dietary Quality and Food Avoidance Among Older Adults

This study categorizes older adults living in rural areas by denture status, assesses the frequency of wearing dentures during meals, and determines whether denture status or use is associated with dietary quality or the number of foods avoided. A multi-ethnic population-based sample of adults ≥60 years (N = 635) in the rural United States was interviewed. Survey included denture use, removing dentures before eating, and foods avoided due to oral health problems. Dietary intakes were converted into Healthy Eating Index-2005 scores. Sixty percent wore removable dentures of some type; 55% never, 27% sometimes, and 18% always removed dentures when eating. More frequent removal was associated with lower dietary quality and more foods avoided. Those with severe tooth loss had the lowest dietary quality and avoided the most foods. Many rural older adults wear dentures. Learning how they adapt to denture use will offer insight into their nutritional self-management and help explain differences in dietary quality.     

Children's Food Store,Restaurant, and Home Food Environments and Their Relationship with Body Mass Index: A Pilot Study

This pilot research assessed the feasibility and utility of a study designed to examine the relationship between children's BMI and food store, restaurant, and home food environments. Home visits were conducted with sixth-grade children (N = 12). BMI z-scores were calculated with weight and height measurements. Nutrition Environment Measures Surveys evaluated children's food environments. The study protocol involved a feasible time duration, minimal missing data for primary variables, and participant satisfaction. Potential design problems included the homogeneous store environments and low restaurant exposure of the sample recruited from one school, and the adequacy of a single cross-sectional measure of the home environment.     

The Relationship between Music and Food Intake: A Systematic Review and Meta-Analysis

Food intake has been shown to be related to several environmental factors including the presence of music. However, previous findings of the relationship between music and food intake are inconsistent. In the present study, a systematic review and meta-analysis was conducted to quantitatively review the extent to which music is associated with food intake as well as to investigate potential moderators that might have contributed to the heterogeneity of the existing findings. Literature was searched on four databases (i.e., PsycINFO, Web of Science, PubMed, and ProQuest Dissertations and Theses) and Google Scholar. Nine articles published from 1989 to 2020 met our inclusion criteria. A meta-analysis was carried out via a three-level random-effects model. The overall effect size (i.e., Hedges’ g) was 0.19 (95% Confidence Interval: −0.003, 0.386; SE = 0.10, t = 1.99, p = 0.054), indicating a marginally significant but small effect size. Body Mass Index (F(1, 21) = 5.11, p = 0.035) was found to significantly contribute to the heterogeneity of effect sizes, with larger positive effects of music on food intake for individuals with higher BMI. However, music-related features did not significantly moderate the relationship between music and food intake. More experimental studies are needed to update the current meta-analysis and get a better understanding of this topic.     

Association between Protein Intake and Skeletal Muscle Mass among Community-Dwelling Older Japanese: Results from the DOSANCO Health Study: A Cross-Sectional Study

Whether the source of dietary protein intake is related to appendicular skeletal muscle mass (AMM) and muscle mass (MM) remains unclear. We conducted this cross-sectional study of 277 residents (115 men, 162 women) aged ≥65 years in Japan to examine the association of the amount of dietary protein intake with AMM and MM. We measured dietary protein intake using a brief self-administered diet history questionnaire. AMM and MM were assessed based on bioelectrical impedance. Multivariable linear regression analyses were used to estimate β coefficients that were adjusted for potential confounders. Among Japanese women aged ≥75 years, but not among women aged 65–74 years, dietary animal protein intake was significantly associated with AMM (β (95% confidence interval (CI)): 0.25 (0.10, 0.40)) and MM (β (95% CI): 0.40 (0.16, 0.64)). However, dietary vegetable protein intake was not associated with AMM (β (95% CI): −0.17 (−0.74, 0.41)) and MM (β (95% CI): −0.30 (−1.23, 0.63)). Furthermore, in men aged ≥65 years, dietary protein intake was not associated with AMM or MM. In conclusion, dietary animal protein intake, but not vegetable protein intake, were positively associated with AMM and MM among this population of Japanese women aged ≥75 years.     

Body Image,Food Addiction,Depression, and Body Mass Index in University Students

The relationship between body image, depression, food addiction and body mass index (BMI) and differences in these variables due to gender and field of education have not been studied extensively. This study was conducted on a total of 793 university students (20.19 ± 1.90 years). The Beck Depression Inventory, Yale Food Addiction, and Body Image Scale were used. It was determined that body image scores of females and individuals enrolled in health sciences programs were lower compared to those of males and those enrolled in the social sciences. There was a negative relationship between body image and depression and food addiction scores. There was a positive relationship between food addiction and depression scores, in addition to a positive relationship between food addiction and BMI.     

A Revised Australian Dietary Guideline Index and Its Association with Key Sociodemographic Factors,Health Behaviors and Body Mass Index in Peri-Retirement Aged Adults

The Dietary Guideline Index, a measure of diet quality, was updated to reflect the 2013 Australian Dietary Guidelines. This paper describes the revision of the index (DGI-2013) and examines its use in older adults. The DGI-2013 consists of 13 components reflecting food-based daily intake recommendations of the Australian Dietary Guidelines. In this cross-sectional study, the DGI-2013 score was calculated using dietary data collected via an 111-item food frequency questionnaire and additional food-related behaviour questions. The DGI-2013 score was examined in Australian adults (aged 55–65 years; n = 1667 men; 1801 women) according to sociodemographics, health-related behaviours and BMI. Women scored higher than men on the total DGI-2013 and all components except for dairy. Those who were from a rural area (men only), working full-time (men only), with lower education, smoked, did not meet physical activity guidelines, and who had a higher BMI, scored lower on the DGI-2013, highlighting a group of older adults at risk of poor health. The DGI-2013 is a tool for assessing compliance with the Australian Dietary Guidelines. We demonstrated associations between diet quality and a range of participant characteristics, consistent with previous literature. This suggests that the DGI-2013 continues to demonstrate convergent validity, consistent with the original Dietary Guideline Index.     

Food Insecurity Is Associated with the Quality of Diet of Non-Institutionalized Older Adults from a Southern Chilean Commune: A Cross-Sectional Study

As the population ages, greater attention to age-related health problems related to diet and lifestyles is needed. Here, we sought to evaluate the associations between demographic and clinical characteristics and food insecurity with the quality of diet of non-institutionalized elderly from a southern Chilean commune. We performed an analytical cross-sectional study in a sample of 376 older adults. Nutritional status was evaluated through anthropometric measurements. Quality of diet was determined by the healthy eating index (HEI), obtained through the frequency of consumption questionnaire. Socioeconomic, demographic, and lifestyle variables were also collected. Ordinal logistic and Poisson regression models were applied to study associations with quality of diet. The sample consisted of more women (81.6%) than men (18.4%). Most older adults were found to live in a situation of vulnerability or poverty (82.4%), with most having food security (65.7%). According to the HEI, only 14.1% had a good quality of diet, 83.8% had diet in need of improvement, and 2.1% had an unhealthy diet. There was an association of food insecurity and cardiovascular risk (according to waist circumference) with lower quality of diet categories. However, an association with the unhealthy quality of diet category was not confirmed with Poisson regression analysis, which was possibly due to the low number of subjects in that category (n = 8, 2.1%). Other modifiable factors like physical activity, hours of sleep, and polypharmacy were not associated with lower quality of diet categories. Socioeconomic status, which is a structural health determinant, was not associated with decreased quality of diet. Since this was a cross-sectional study performed on a small sample from a Chilean commune, directionality of associations cannot be discerned, and future longitudinal studies could aim to better characterize these associations in larger samples of elderly patients.     

A Higher Intake of Energy at Dinner Is Associated with Incident Metabolic Syndrome: A Prospective Cohort Study in Older Adults

A higher energy intake (EI) at night has been associated with a higher risk of obesity, while a higher EI at lunch may protect against weight gain. This study examined the association between EI throughout the day and incident metabolic syndrome (MetS) among older adults. A cohort of 607 individuals aged ≥ 60 free from MetS at baseline was followed from 2008–2010 until 2015. At baseline, habitual EI was assessed on six eating occasions: breakfast, mid-morning snack, lunch, afternoon snack, dinner, and snacking. MetS was defined according to the harmonized definition. Statistical analyses were performed with logistic regression and adjusted for the main confounders, including total EI, diet quality, and physical activity/sedentary behavior. During follow-up, 101 new MetS cases occurred. Compared to the lowest sex-specific quartile of EI at dinner, the OR (95% confidence interval) for incident MetS were: 1.71 (0.85–3.46) in the second, 1.70 (0.81–3.54) in the third, and 2.57 (1.14–5.79) in the fourth quartile (p-trend: 0.034). Elevated waist circumference and triglycerides were the MetS components that most contributed to this association. A higher EI at dinner was associated with a higher risk of MetS in older adults. Reducing EI at dinner might be a simple strategy to prevent MetS.     

Impact of Health Conditions on Food Intakes Among Older Adults

ABSTRACT

Even well older adults may experience a range of age-related physiological changes and chronic health conditions and may become increasingly sedentary—key factors that could affect appetite and hunger and lead to changes in diet composition. The present article reviews recent literature on the impact of prevalent health conditions on dietary choice. Research shows some evidence that older adults make positive dietary changes following the onset of certain chronic health conditions. However, most chronic diseases appear to lead to dietary restrictions that compromise nutritional status. The nature of the health condition and its effect on physiological function will drive the dietary change process. The extent to which health care providers counsel their patients to incorporate changes into their diet and the mindset and belief system of each individual may also have a strong impact on food choices. A recurring theme in the research examined in this review was older adults' desire to improve their diet, coupled with their frustration at not being offered sufficient counseling by their health care providers. The role of health care professionals, particularly nutritionists, in guiding older adults toward an improved diet cannot be overstated.     

A Systematic Review of Diet Quality Index and Obesity among Chinese Adults

Diet quality scores are designed mainly based on Western-style dietary patterns. They were demonstrated to be good indicators of obesity in developed but not developing countries. Several diet quality scores were developed based on the Chinese dietary guidelines, yet no systematic review exists regarding how they were related to obesity. We searched research articles published between 2000 and 2021 in PubMed, CINAHL, and Scopus databases. Both cross-sectional and prospective studies that examined the relationship between a diet quality score and weight, body mass index, obesity, or waist circumference conducted in a Chinese population were selected. From the 602 articles searched, 20 articles were selected (12 are cross-sectional studies and 8 are prospective cohort studies). The relationship between internationally used scores and obesity was inconsistent among studies. Scores tailored to the Chinese diet demonstrated a strong relationship with both being underweight and obesity. The heterogeneity of the populations and the major nutrition transition in China may partially explain the discrepancies among studies. In conclusion, diet quality scores tailored to the Chinese diet may be associated with both undernutrition and overnutrition, as well as being underweight and obesity outcomes.     

Changes in Dietary Intake Patterns and Weight Status during the COVID-19 Lockdown: A Cross-Sectional Study Focusing on Young Adults in Malaysia

Introduction: The coronavirus disease 2019 (COVID-19) isolation has altered individuals’ food purchasing behaviour and dietary intake patterns. Therefore, this study aims to investigate the changes in dietary intake patterns and their impacts on the weight status of young adults in Malaysia during the COVID-19 lockdown. Methods: This cross-sectional study involved 1045 young adults in Malaysia. The changes in dietary intake patterns were assessed using the Dietary Diversity Questionnaire with slight modifications, while anthropometric measurements including body height, body weight before the pandemic and current body weight were self-reported. Results: Overall, nearly half of the respondents (48.8%) gained weight during the confinement, with an average increment of 4.06 ± 3.23 kg. Of 1045, 45.3% reported consuming more fruits and 60.2% had higher plain water intake during the pandemic. It is observed that 41.0% to 66.8% of the young adults changed their dietary intake patterns during the pandemic. Increased consumption in cereals and grains (β = 0.084, p = 0.015, 95% CI = 0.017–0.160), as well as oils and fats (β = 0.123, p = 0.001, 95% CI = 0.059–0.241), was positively associated with weight gain during the pandemic. On the contrary, an increased plain water intake was negatively associated with weight gain during the lockdown (β = −0.100, p = 0.003, 95% CI = −0.171–−0.034). Findings in the current study also suggested that cutting back cereals and grains (β = 0.156, p < 0.001, 95% CI = 0.122–0.288), as well as oils and fats (β = 0.091, p = 0.012, 95% CI = 0.022–0.183), contributed significantly to weight loss during the pandemic confinement. Conclusion: In conclusion, the enforcement of the Movement Control Order (MCO) drove up the prevalence of overweight/obesity among young adults in Malaysia. Increased consumption of cereals and grains and oils and fats contributed to weight gain in the pandemic lockdown. Nonetheless, a noticeable proportion of young adults in Malaysia shifted to a healthier food choice by increasing the consumption of fruits and vegetables.     

Eating Behaviors,Mental Health,and Food Intake Are Associated With Obesity in Older Congregate Meal Participants

The relationship between eating behaviors, food intake, and mental health and the occurrence of obesity in older adults has rarely been investigated. Therefore, the objective of this study was to establish the associative links of these factors with two measures of obesity: class I obesity as indicated by body mass index (OB-BMI; BMI ≥30 kg/m²) and class I obesity as indicated by waist circumference (OB-WC; WC ≥43 inches for men and ≥42 inches for women). Older adults participating in the Older American's Act congregate meal program (N = 113, mean age = 74 years, 74% female, 45% African American) were assessed. Eating behaviors (cognitive restraint, uncontrolled eating, and emotional eating), food group choices (sweets, salty snacks, and fruits), and mental health indices (depression, anxiety, and stress) were recorded by questionnaire and related to measured occurrence of OB-BMI and OB-WC. In a series of multivariate logistical regression models, we found cognitive restraint to be consistently and robustly associated with both measures of obesity. In the fully adjusted model, cognitive restraint, consumption of sweets, anxiety, and lack of depression were associated with OB-WC. In summary, we found an association of obesity with abnormal eating behaviors, certain food group intakes, and mental health symptoms in this population. These findings may guide the development of future weight management interventions in a congregate meal setting.