The Hearing Function and Ambulatory Blood Pressure in Older Adults.

OBJECTIVE: To examine the association between hearing function, assessed with pure-tone average (PTA) of air conduction thresholds, and 24-hour ambulatory blood pressure (BP) in older adults. STUDY DESIGN: Cross-sectional study. SETTING: A total of 1404 community-dwelling individuals aged ≥65 years from the Seniors-ENRICA cohort were examined. METHODS: Hearing loss was defined as PTA > 40-AudCal hearing loss decibels (dB-aHL) in the better ear for standard frequency (0.5, 1, and 2 kHz), speech frequency (0.5, 1, 2, and 4 kHz), and high frequency (3, 4, and 8 kHz). Circadian BP patterns were calculated as the percentage decline in systolic BP during the night, and participants were classified as dipper, nondipper, and riser. Ambulatory hypertension was defined as BP ≥ 130/80 mm Hg (24 hour), ≥135/85 (daytime), and ≥120/70 (nighttime) or on antihypertensive treatment. Analyses were performed with linear- and logistic-regression models adjusted for the main confounders. RESULTS: In multivariable analyses, the PTA was associated with higher nighttime systolic BP [ß coefficient per 20 dB-aHL increment standard frequency (95% confidence interval, CI): 2.41 mm Hg (0.87, 3.95); ß (95% CI) per 20 dB-aHL increment speech frequency 2.17 mm Hg (0.70, 3.64)]. Among hypertensive patients, hearing loss at standard and high-frequency PTA was associated with the riser BP pattern [odds ratio: 2.01 (95% CI, 1.03-3.93) and 1.45 (1.00-2.09), respectively]; also, hearing loss at standard PTA was linked to uncontrolled nighttime BP [1.81 (1.01-3.24)]. CONCLUSION: PTA was associated with higher nighttime BP, and hearing loss with a riser BP pattern and uncontrolled BP in older hypertensives.

Specific dairy foods and risk of frailty in older women: a prospective cohort study.

BACKGROUND: Dairy contains a complex mixture of lipids, proteins, and micronutrients. Whether habitual dairy consumption is associated with health benefits is not well established. Since dairy is high in nutrients that are potentially protective against frailty, the association between dairy products and the risk of frailty is of interest. METHODS: We analyzed data from 85,280 women aged ≥ 60 years participating in the Nurses' Health Study. Consumption of milk, yogurt, and cheese was obtained from repeated food frequency questionnaires administered between 1980 and 2010. Frailty was defined as having at least three of the following five criteria from the FRAIL scale: fatigue, low strength, reduced aerobic capacity, having ≥ 5 chronic illnesses, and a weight loss of ≥ 5%. The occurrence of frailty was assessed every four years from 1992 to 2018. Cox proportional hazard models were used to examine the association between the intake of dairy foods and frailty. RESULTS: During follow-up we identified 15,912 incident cases of frailty. Consumption of milk or yogurt was not associated with the risk of frailty after adjustment for lifestyle factors, medication use, and overall diet quality. Cheese consumption was positively associated with risk of frailty [relative risk (95% confidence interval) for one serving/day increment in consumption: 1.10 (1.05, 1.16)]. Replacing one serving/day of milk, yogurt, or cheese with one serving/day of whole grains, nuts, or legumes was associated with a significant lower risk of frailty, while replacing milk, yogurt, or cheese with red meat or eggs was associated with an increased risk. When milk was replaced with a sugar-sweetened or artificially sweetened beverage, a greater risk of frailty was observed, while replacing milk with orange juice was associated with a lower risk of frailty. CONCLUSIONS: The results suggest that the association between milk, yogurt, and cheese and frailty partly depends on the replacement product. Habitual consumption of milk or yogurt was not associated with risk of frailty, whereas cheese consumption may be associated with an increased risk.

Animal and vegetable protein intake and malnutrition in older adults: a multicohort study.

OBJECTIVES: Malnutrition is a global concern in older adults, as it negatively affects morbidity and mortality. While higher animal protein intake may help prevent and treat malnutrition, it might also increase the risk of chronic diseases and death. Conversely, vegetable protein intake might have a lower anabolic effect and not be as effective to improve nutritional status. We studied whether animal and vegetable protein intake are associated with changes in nutritional status in older adults. DESIGN: We used pooled data from two Spanish cohorts: the Seniors-ENRICA 1 and Seniors-ENRICA 2. SETTINGS AND PARTICIPANTS: 2,965 community-dwelling adults aged 62-92 years. MEASUREMENTS: Protein intake was estimated at baseline via an electronic, validated diet history. Nutritional status was assessed at baseline and after 2.6 years with the GLIM (Global Leadership Initiative on Malnutrition) phenotypic criteria: weight loss, low body mass index, and reduced muscle mass. The odds of improvements in nutritional status were assessed with logistic regression models, extensively adjusted for potential confounders. RESULTS: Higher animal and vegetable protein intake were associated with improvements in nutritional status [odds ratios (95% confidence intervals) per 0.25 g/kg/day were 1.15 (1.00, 1.32) and 1.77 (1.35, 2.32), respectively]. Cereal protein intake drove most of the latter association [2.07 (1.44, 2.98)]. Replacing 0.25 g/kg/day of total animal protein, meat, or fish protein (but not dairy or egg protein) with vegetable protein was associated with improvements in nutritional status [1.54 (1.13, 2.09), 1.70 (1.20, 2.41), and 1.77 (1.18, 2.64), respectively]. CONCLUSIONS: Higher animal and, especially, vegetable protein intake were associated with improvements in nutritional status in older adults. Replacing total animal protein, meat, or fish protein with vegetable protein may help improve malnutrition.

Association Between Speech Reception Threshold in Noise and Multimorbidity: The UK Biobank Study.

OBJECTIVE: To investigate the association between hearing function, as approached with the functional auditory capacity, and multimorbidity. STUDY DESIGN: Cross-sectional study. SETTING: The UK Biobank was established from 2006 to 2010 in the United Kingdom. This cross-sectional analysis included 165,524 participants who provided baseline information on hearing function. METHODS: Functional auditory capacity was measured with a digit triplet test. Three categories were defined according to the speech reception threshold in noise (SRTn): normal (SRTn < -5.5 dB signal-to-noise ratio [SNR]), insufficient (SRTn ≥ -5.5 to ≤ -3.5 dB SNR) and poor hearing function (SRTn > -3.5 dB SNR). To define multimorbidity, 9 chronic diseases were considered, including chronic obstructive pulmonary disease, dementia, Parkinson's disease, stroke, cancer, depression, osteoarthritis, coronary heart disease, and diabetes; multimorbidity was defined as the coexistence of 2 or more in the same individual. Analyses were conducted using logistic models adjusted for relevant confounders. RESULTS: Among the study participants, 54.5% were women, and the mean (range) age was 56.7 (39-72) years. The prevalence of insufficient and poor hearing function and multimorbidity was 13% and 13.2%, respectively. In comparison with having a normal SRTn, the odds ratio (95% confidence interval) of multimorbidity associated with insufficient SRTn was 1.13 (1.08-1.18), and with poor SRTn was 1.25 (1.14-1.37). CONCLUSION: Insufficient and poor hearing function was associated with multimorbidity. This association suggests common biological pathways for many of the considered morbidities.

Cross-sectional Association Between Plasma Biomarkers and Multimorbidity Patterns in Older Adults.

Multimorbidity is the simultaneous presence of 2 or more chronic conditions. Metabolomics could identify biomarkers potentially related to multimorbidity. We aimed to identify groups of biomarkers and their association with different multimorbidity patterns. Cross-sectional analyses were conducted within the Seniors-ENRICA-2 cohort in Spain, with information from 700 individuals aged ≥65 years. Biological samples were analyzed using high-throughput proton nuclear magnetic resonance metabolomics. Biomarker groups were identified with exploratory factor analysis, and multimorbidity was classified into 3 types: cardiometabolic, neuropsychiatric, and musculoskeletal. Logistic regression was used to estimate the association between biomarker groups and multimorbidity patterns, after adjusting for potential confounders including sociodemographics, lifestyle, and body mass index. Three factors were identified: the "lipid metabolism" mainly reflected biomarkers related to lipid metabolism, such as very-low-density lipoprotein and low-density lipoprotein cholesterol; the "high-density lipoprotein cholesterol" mainly included high-density lipoprotein cholesterol subclasses and other lipids not included in the first factor; and the "amino acid/glycolysis/ketogenesis," composed of some amino acids, glycolysis-related metabolites, and ketone bodies. Higher scores in the "lipid metabolism" factor were associated with a higher likelihood of cardiometabolic multimorbidity, odds ratio for tertile 3 versus tertile 1 was 1.79 (95% confidence interval: 1.17-2.76). The "high-density lipoprotein cholesterol" factor was associated with lower odds of cardiometabolic multimorbidity [0.51 (0.32-0.82)], and the "amino acid/glycolysis/ketogenesis" factor was associated with more frequent cardiometabolic multimorbidity [1.85 (1.18-2.90)]. Different metabolomic biomarkers are associated with different multimorbidity patterns; therefore, multiple biomarker measurements are needed for a complete picture of the molecular mechanisms of multimorbidity.

Diet Quality and Multimorbidity in Older Adults: A Prospective Cohort Study.

BACKGROUND: The role of diet quality in the accumulation of multiple chronic conditions is mostly unknown. This study examined diet quality in association with the number of chronic conditions and the rate of multimorbidity development among community-dwelling older adults. METHODS: We used data from 2 784 adults aged ≥65 years from the Seniors-ENRICA 2 cohort. Diet quality was assessed at baseline (2015-17) with the Alternate Healthy Eating Index-2010 (AHEI-2010) and the Mediterranean Diet Adherence Screener (MEDAS). Information on medical diagnoses was obtained from electronic clinical records up to 2021. RESULTS: Higher adherence to the AHEI-2010 was associated with a lower number of total chronic conditions (ß [95% CI] quartile 4 vs 1: -0.57 [-0.86 to 0.27], p trend < .001] and cardiometabolic conditions (-0.30 [-0.44 to -0.17], p trend < .001) at baseline, while higher adherence to the MEDAS was associated with a lower number of total chronic conditions (-0.30 [-0.58 to -0.02], p trend = .01) and neuropsychiatric and neurodegenerative conditions (-0.09 [-0.17 to -0.01], p trend = .01). After a median follow-up of 5.2 years (range: 0.1-6.1 years) higher adherence to the AHEI-2010 was associated with a lower increase in chronic conditions (ß [95% confidence interval] quartile 4 vs 1: -0.16 [-0.30 to -0.01], p trend = .04) and with lower rate of chronic disease accumulation. CONCLUSIONS: Higher diet quality, as measured by the AHEI-2010, was associated with a lower number of chronic health conditions and a lower rate of multimorbidity development over time.

Prospective Association Between Plasma Concentrations of Fatty Acids and Other Lipids, and Multimorbidity in Older Adults.

Biological mechanisms that lead to multimorbidity are mostly unknown, and metabolomic profiles are promising to explain different pathways in the aging process. The aim of this study was to assess the prospective association between plasma fatty acids and other lipids, and multimorbidity in older adults. Data were obtained from the Spanish Seniors-ENRICA 2 cohort, comprising noninstitutionalized adults ≥65 years old. Blood samples were obtained at baseline and after a 2-year follow-up period for a total of 1 488 subjects. Morbidity was also collected at baseline and end of the follow-up from electronic health records. Multimorbidity was defined as a quantitative score, after weighting morbidities (from a list of 60 mutually exclusive chronic conditions) by their regression coefficients on physical functioning. Generalized estimating equation models were employed to assess the longitudinal association between fatty acids and other lipids, and multimorbidity, and stratified analyses by diet quality, measured with the Alternative Healthy Eating Index-2010, were also conducted. Among study participants, higher concentrations of omega-6 fatty acids [coef. per 1-SD increase (95% CI) = -0.76 (-1.23, -0.30)], phosphoglycerides [-1.26 (-1.77, -0.74)], total cholines [-1.48 (-1.99, -0.96)], phosphatidylcholines [-1.23 (-1.74, -0.71)], and sphingomyelins [-1.65 (-2.12, -1.18)], were associated with lower multimorbidity scores. The strongest associations were observed for those with a higher diet quality. Higher plasma concentrations of omega-6 fatty acids, phosphoglycerides, total cholines, phosphatidylcholines, and sphingomyelins were prospectively associated with lower multimorbidity in older adults, although diet quality could modulate the associations found. These lipids may serve as risk markers for multimorbidity.

Dietary Micronutrient Adequacy and Risk of Multimorbidity in Community-dwelling Older Adults.

BACKGROUND: Multimorbidity refers to the coexistence of multiple chronic health conditions. The effect of nutritional adequacy on multimorbidity is mostly unknown. OBJECTIVE: The aim of this study was to assess the prospective association between dietary micronutrient adequacy and multimorbidity among community-dwelling older adults. METHODS: This cohort study included 1461 adults aged ≥65 y from the Seniors-ENRICA II cohort. Habitual diet was assessed at baseline (2015-2017) with a validated computerized diet history. The intakes of 10 micronutrients (calcium, magnesium, potassium, vitamins A, C, D, E, zinc, iodine, and folate) were expressed as percentages relative to the dietary reference intakes, with higher scores indicating greater adequacy. Dietary micronutrient adequacy was computed as the average of all the nutrient scores. Information on medical diagnosis was obtained from the electronic health records up to December 2021. Conditions were grouped into a comprehensive list of 60 categories and occurrence of multimorbidity was defined as having ≥6 chronic conditions. Analyses were conducted using Cox proportional hazard models adjusted for relevant confounders. RESULTS: The mean age was 71.0 y (SD: 4.2) and 57.8% of participants were males. During a median follow-up of 4.79 y, we documented 561 incident cases of multimorbidity. Participants in the highest (85.8%-97.7%) versus the lowest tertile (40.1%-78.7%) of dietary micronutrient adequacy had a low risk of multimorbidity [fully adjusted hazard ratio (95% confidence interval): 0.75 (0.59-0.95); P-trend: 0.02]. A 1-SD increment in minerals and vitamins adequacy was associated with a low risk of multimorbidity, although estimates were attenuated after additional adjustment for the opposite subindex [minerals subindex: 0.86 (0.74-1.00); vitamins subindex: 0.89 (0.76-1.04)]. No differences were observed by strata of sociodemographic and lifestyle factors. CONCLUSION: A high micronutrient index score was associated with low risk of multimorbidity. Improving the dietary micronutrient adequacy could prevent multimorbidity among older adults. CLINICAL TRIAL REGISTRY: clinicaltrials.govNCT03541135.

Duration and Quality of Sleep and Risk of Self-reported Hearing Loss: The UK Biobank Study.

OBJECTIVE: The duration and quality of sleep have been associated with multiple health conditions in adults. However, whether sleep duration and quality are associated with hearing loss (HL) is uncertain. The present study investigates the prospective association between duration and quality of sleep and HL. DESIGN: This longitudinal analysis included 231,650 participants aged 38 to 72 years from the UK Biobank cohort, established in 2006-2010 in the United Kingdom. Duration and sleep complaints (snoring at night, daytime sleepiness, sleeplessness, difficulty getting up in the morning, and eveningness preference) were self-reported. HL was self-reported at baseline and during the follow-up. RESULTS: Over a median follow-up of 4.19 (SD: 2.15) years, 6436 participants reported incident HL. In fully adjusted models, in comparison with sleeping between 7 and 8 hours a day, the adjusted hazard ratio (HR) (95% CI) associated with sleeping <7 hours a day was 1.01 (0.95 to 1.07), and for sleeping >8 hours a day was 0.98 (0.88 to 1.08). After adjustment for potential confounders, the HRs (95% confidence interval) of HL associated with having 1, 2, 3, and 4 to 5 vs. 0 sleep complaints were: 1.15 (1.05 to 1.27), 1.16 (1.05 to 1.28), 1.32 (1.19 to 1.47), and 1.49 (1.31 to 1.69), respectively; p for trend: <0.001. An increase in the number of sleep complaints was associated with higher risk of HL among participants with non-optimal sleep duration than among participants with optimal sleep duration. CONCLUSION: In this large population-based study, poor sleep quality was associated with an increased risk of HL; however, sleep duration was not associated with risk.

Multimorbidity Patterns in Older Adults: the Role of Social Variables and Lifestyle Behaviors.

INTRODUCTION: While some condition clusters represent the chance co-occurrence of common individual conditions, others may represent shared causal factors. The aims of this study were to identify multimorbidity patterns in older adults and to explore the relationship between social variables, lifestyle behaviors, and the multimorbidity patterns identified. METHODS: This was a cross-sectional design. Data came from 3,273 individuals aged ≥65 from the Seniors-ENRICA-2 cohort; information on 60 chronic disease categories, categorized according to the 2nd edition of the International Classification of Primary Care and the 10th edition of the International Classification of Diseases, was obtained from clinical record linkage. To identify multimorbidity patterns, an exploratory factor analysis was conducted over chronic disease categories with a prevalence >5%, using Oblimin rotation and Kaiser's eigenvalues-greater-than-one rule. The association between multimorbidity patterns and their potential determinants was assessed with multivariable linear regression. RESULTS: The three-factor solution (Musculoskeletal diseases and mental disorders, Cardiometabolic diseases, and Cardiopulmonary diseases) explained 64.5% of the total variance. Being older, lower occupational category, higher levels of loneliness, lower levels of physical activity, and higher body mass index were associated with higher scores in the multimorbidity patterns identified. Female sex was linked to the Musculoskeletal diseases and mental disorders pattern, while being male was revealed to the two remaining multimorbidity patterns. A high diet quality was inversely related to Cardiometabolic diseases, while optimal sleep duration was inversely related to Cardiopulmonary diseases. CONCLUSION: Three multimorbidity patterns were identified in older adults. Multimorbidity patterns were differently associated with social variables and lifestyles behavioral factors.

Prospective Association Between Plasma Amino Acids and Multimorbidity in Older Adults.

BACKGROUND: Some amino acids have been associated with aging-related disorders and risk of physical impairment. The aim of this study was to assess the association between plasma concentrations of 9 amino acids, including branched-chain and aromatic amino acids, and multimorbidity. METHODS: This research uses longitudinal data from the Seniors-ENRICA 2 study, a population-based cohort from Spain that comprises noninstitutionalized adults older than 65. Blood samples were extracted at baseline and after a follow-up period of 2 years for a total of 1 488 subjects. Participants' information was linked with electronic health records. Chronic diseases were grouped into a list of 60 mutually exclusive conditions. A quantitative measure of multimorbidity, weighting morbidities by their regression coefficients on physical functioning, was employed and ranged from 0 to 100. Generalized estimating equation models were used to explore the relationship between plasma amino acids and multimorbidity, adjusting for sociodemographics, socioeconomic status, and lifestyle behaviors. RESULTS: The mean age of participants at baseline was 73.6 (SD = 4.2) years, 49.6% were women. Higher concentrations of glutamine (coef. per mmol/l [95% confidence interval] = 10.1 [3.7, 16.6]), isoleucine (50.3 [21.7, 78.9]), and valine (15.5 [3.1, 28.0]) were significantly associated with higher multimorbidity scores, after adjusting for potential confounders. Body mass index could have influenced the relationship between isoleucine and multimorbidity (p = .016). CONCLUSIONS: Amino acids could play a role in regulating aging-related diseases. Glutamine and branched-chain amino acids as isoleucine and valine are prospectively associated and could serve as risk markers for multimorbidity in older adults.

Distribution of daily protein intake across meals and all-cause mortality in community-dwelling older adults.

Recent findings suggest that the distribution of protein intake throughout the day has an impact on various health outcomes in older adults, independently of the amount consumed. We evaluated the association between the distribution of dietary protein intake across meals and all-cause mortality in community-dwelling older adults. Data from 3225 older adults aged ≥ 60 years from the Seniors-ENRICA-1 cohort were examined. Habitual dietary protein consumption was collected in 2008-2010 and in 2012 through a validated diet history. Protein distribution across meals was calculated for each participant as the coefficient of variation (CV) of protein intake per meal, in sex-specific tertiles. Vital status was obtained from the National Death Index up to 30 January 2020. Cox proportional hazards regression was performed to determine the hazard ratios (HR) and their 95 % CI for the association between the distribution of daily protein intake across meals and all-cause mortality. Over a median follow-up of 10·6 years, 591 deaths occurred. After adjustment for potential confounders, the CV of total protein intake was not associated with all-cause mortality (HR and 95 % CI in the second and third tertile v. the lowest tertile: 0·94 (0·77, 1·15) and 0·88 (0·72, 1·08); Ptrend = 0·22). Similarly, the HR of all-cause mortality when comparing extreme tertiles of CV for types of protein were 0·89 (0·73, 1·10) for animal-protein intake and 1·02 (0·82, 1·25) for plant-protein intake. Dietary protein distribution across meals was not associated with all-cause mortality, regardless of protein source and amount, among older adults. Further studies should investigate whether this picture holds for specific causes of death.

Leucine Intake and Risk of Impaired Physical Function and Frailty in Older Adults.

BACKGROUND: Leucine is suggested to play a central role in age-related physical decline, but the effect of dietary leucine intake on physical functioning is uncertain. We examined the prospective association between dietary leucine intake and impaired lower-extremity function (ILEF) and frailty in older adults. METHODS: We used data from 2 956 adults aged ≥60 and older from the Seniors-ENRICA cohort. At baseline (2008-2010) and in 2012, dietary information was obtained with a validated computerized face-to-face diet history, from which energy-adjusted cumulative leucine intake per body weight was calculated. Participants were followed up through 2017 to assess incident ILEF, ascertained with the Short Physical Performance Battery, and incident frailty, according to the Fried phenotype criteria. Statistical analysis was performed with Cox models adjusted for the main potential confounders. RESULTS: During follow-up, we identified 515 incident cases of ILEF and 241 of frailty. Compared with participants in the lowest tertile of leucine intake (35.5-89.0 mg/kg/d), those in the highest tertile (107.4-372.5 mg/kg/d) had a lower risk of ILEF (fully adjusted hazard ratio [95% confidence interval]: 0.70 [0.53-0.93], p trend: .01) and of frailty (0.63 [0.41-0.96], p trend: .03]. A higher consumption of important sources of leucine in this population, including unprocessed beef, oily and white fish, and bread, were also associated with a lower risk of incident ILEF and frailty. CONCLUSIONS: Higher leucine intake was associated with reduced risk of ILEF and frailty. Dietary leucine, obtained from foods rich in high-quality protein, could be a key nutrient to prevent age-related physical function decline in older adults.

Physical Activity and Risk of Frailty in U.S. Women 60 Yr and Older.

PURPOSE: Several studies have shown a lower risk of developing frailty with long-term higher levels of physical activity. However, most these studies lacked repeated measurement over the follow-up period. Therefore, we examined the association between different types of physical activity and in frailty development using repeated measurements. METHODS: A total of 69,642 nonfrail women 60 yr and older from the Nurses' Health Study were followed from 1992 to 2016. Leisure time physical activity was assessed biennially. Frailty was defined as having 3+ of the following five criteria from the FRAIL scale: fatigue, low strength, reduced aerobic capacity, having ≥5 illnesses, and ≥5% weight loss. Cox models adjusted for potential confounders were used to estimate hazard ratios (HR) and 95% confidence interval (CI) for the association between total, moderate-intensity physical activity, vigorous-intensity physical activity, walking, and incident frailty. RESULTS: During 24 yr of follow-up, we documented 16,479 incident frailty cases. Comparing top to bottom quintiles of MET-hours per week of physical activity, the HR was 0.48 (95% CI = 0.45-0.50) for total physical activity, 0.51 (0.48-0.54) for moderate, and 0.75 (0.71-0.79) for vigorous activity ( Ptrend <0.001 for all activities). For each hour per week increase, HR was 0.56 (0.53-0.58), 0.51 (0.48-0.54), and 0.63 (0.58-0.68) for total, moderate, and vigorous activity, respectively. Walking was the most common activity, and each hour per day increase in walking was associated with an HR of 0.41 (0.38-0.44) for frailty incidence; this was evident even among those older than 70 yr and those with preexisting frailty characteristics. CONCLUSIONS: Both moderate and vigorous physical activities were associated with a lower risk of frailty. In particular, walking, a broadly accessible activity, was also associated with lower risk.

Association between the quality of plant-based diets and risk of frailty.

BACKGROUND: The Mediterranean diet and other dietary patterns rich in fruits and vegetables have been linked to lower risk of frailty in older adults. However, not all plant-based diets are necessarily healthful, and no previous study has evaluated the role of the quality of plant-based dietary patterns in frailty risk. Our aim was to assess the association between plant-based diet quality and risk of frailty. METHODS: Prospective cohort consisted with 82 234 women aged ≥60 years from the Nurses' Health Study, who were followed from 1990 through 2014. The dates of analysis were April 14 to June 23, 2021. Dietary data were collected every 4 years using a validated semi-quantitative food frequency questionnaire. The plant-based diet quality was assessed with two indices (range 18-90 points): (a) healthful plant-based diet index (hPDI), where healthy plant foods (whole grains, fruits, vegetables, nuts, legumes, vegetable oils and tea/coffee) received positive scores, while less healthy plant foods (fruit juices, sweetened beverages, refined grains, potatoes, and sweets/desserts) and animal foods received reverse scores; and (b) unhealthful plant-based diet index (uPDI) where positive scores were given to less healthy plant foods and reverse scores to healthy plant foods and animal foods. Frailty incidence was assessed every 4 years, being defined as having three or more of the following five criteria from the FRAIL scale: fatigue, low strength, reduced aerobic capacity, having ≥5 illnesses and weight loss ≥5%. Multivariable-adjusted Cox proportional-hazards models were used to estimate hazard ratios (HRs) and their 95% confidence interval (CI). RESULTS: We identified 12 910 incident cases of frailty over 1 176 401 person-year follow-up. In the multivariable analysis, the hPDI was inversely associated with the risk of frailty (hazard ratio [HR] for the highest vs. lowest quintile: 0.77, 95% confidence interval: 0.72-0.81; P trend <0.001). In addition, a 10-unit increment in the hPDI was associated with a relative 15% lower risk of frailty. Conversely, a direct association was found between the uPDI and risk of frailty (HR highest vs. lowest quintile: 1.24 [1.17, 1.32], P trend <0.001). These associations were consistent for each frailty criterion, among participants with no frailty criteria at baseline, after excluding participants with diabetes, cancer and cardiovascular disease at baseline, for alternative versions of the plant-based diet indices (PDIs), in subgroup analysis by categories of potential confounders, and in latency analysis. CONCLUSIONS: A healthful plant-based diet was associated with lower risk of frailty whereas an unhealthful plant-based diet was associated with higher risk.

Adherence to a Mediterranean Lifestyle and Changes in Frequency, Severity, and Localization of Pain in Older Adults.

OBJECTIVE: To assess the association between adherence to a Mediterranean lifestyle and changes in pain, and its characteristics over time in older adults. PATIENTS AND METHODS: We analyzed data from 864 and 862 community-dwelling individuals aged 65+ years from the Study on Cardiovascular Health, Nutrition and Frailty in Older Adults in Spain (Seniors-ENRICA) Seniors-ENRICA-1 (2008-2010 to 2012) and Seniors-ENRICA-2 (2015-2017 to 2019) cohorts, with a median follow-up of 2.8 and 2.4 years, respectively. Adherence to a Mediterranean lifestyle was assessed at baseline with the 27-item Mediterranean lifestyle (MEDLIFE) index. Pain changes over time were calculated with a pain scale that assessed the frequency, severity, and the number of pain locations both at baseline and follow-up. Multivariable-adjusted relative risk ratios (RRRs) were obtained using multinomial logistic regression. RESULTS: In the pooled cohorts, after a median follow-up of 2.6 years, pain worsened for 697 participants, improved for 734, and did not change for 295. Compared with the lowest category of MEDLIFE adherence, those in the highest category showed an RRR of improvement vs worsening of overall pain of 1.85 (95% CI, 1.28 to 2.67; P-trend<.001). MEDLIFE adherence was also linked to improvement in pain frequency (RRR, 1.98; 95% CI, 1.31 to 3.01; P-trend=.001), pain severity (RRR, 2.00; 95% CI, 1.33 to 3.00; P-trend=.001), and a reduction in the number of pain locations (RRR, 1.68; 95% CI, 1.13 to 2.50; P-trend=.004). Limitations of this study are the use of self-reported lifestyle data. CONCLUSION: A Mediterranean lifestyle was associated with improvement of pain characteristics in older adults. Experimental studies should assess the efficacy of an integral lifestyle approach for the management of pain in older adults.

Protein intake and risk of frailty among older women in the Nurses' Health Study.

BACKGROUND: There is evidence that an overall healthy diet is associated with lower risk of frailty. However, the effect of diet composition, specifically the role of protein intake on frailty, is mostly unclear. The aim of this study was to evaluate the intake of protein, including total, plant, animal, and dairy protein, in relation to frailty incidence in a large cohort of older women. METHODS: We analysed data from 85 871 women aged ≥60 participating in the Nurses' Health Study. Intake of protein was measured nine times during follow-up from 1980 until 2010. Frailty was defined as having at least three of the following five criteria from the Fatigue, Resistance, Ambulation, Illnesses and Loss of Weight (FRAIL) scale: fatigue, low strength, reduced aerobic capacity, having ≥5 illnesses, and weight loss of ≥5%. The occurrence of frailty was assessed every 4 years from 1992 up to 2014. RESULTS: During follow-up, we identified 13 279 incident cases of frailty. Women with a higher intake of plant protein had a lower risk of developing frailty after adjustment for all relevant confounders [relative risks across quintiles of consumption: 1.00, 0.94, 0.89, 0.86, and 0.86; P-trend < 0.001]. In contrast, those with a higher intake of animal protein intake had a higher risk of frailty [relative risks across quintiles of consumption: 1.00, 0.98, 0.99, 1.00, and 1.07; P-trend 0.04]. The intake of total and dairy protein showed no significant association with frailty in the full model. Substituting 5% of energy from plant protein intake at the expense of animal protein, dairy protein, or non-dairy animal protein was associated with 38% (29%, 47%), 32% (21%, 42%), and 42% (33%, 50%) reduced risk of frailty. CONCLUSIONS: A higher intake of plant protein, but not animal or dairy protein, was associated with a lower risk of frailty. Substitution of plant protein for animal protein, especially non-dairy animal protein, was associated with lower risk of frailty.

Association between a lifestyle-based healthy heart score and risk of frailty in older women: a cohort study.

BACKGROUND: Evidence on the comprehensive role of lifestyle in frailty risk is scarce. To assess the association between a lifestyle-based Healthy Heart Score (HHS), which estimates the 20-year risk of cardiovascular disease (CVD), and risk of frailty among older women. METHODS: Prospective cohort study in 121,700 nurses from the USA participating at the Nurses' Health Study. This study included 68,416 women aged ≥60 year with a follow-up from 1990 to 2014. The HHS was computed using the gender-specific beta-coefficients of the nine lifestyle factors, including current smoking, high body mass index, low physical activity, lack of moderate alcohol intake and unhealthy diet. Frailty incidence was assessed every 4 years from 1992 to 2014 as having ≥3 of the following five criteria from the FRAIL scale: fatigue, low strength, reduced aerobic capacity, having ≥5 illnesses and weight loss ≥5%. RESULTS: During 22 years of follow-up, 11,041 total incident cases of frailty were ascertained. Compared to women in the lowest quintile of the HHS (lowest estimated CVD risk), the multivariable-adjusted hazard ratio of frailty across quintiles was: Q2:1.67 (95% confidence interval 1.53, 1.82); Q3: 2.34 (2.15, 2.53); Q4: 3.54 (3.28, 3.83) and Q5: 5.92 (5.48, 6.38); P-trend > 0.001. Results were consistent for each frailty criterion, among participants with 0 frailty criteria at baseline, when using only baseline exposure or in 6-year-, 10-year- and 14-year-exposure lagged analyses, and after excluding participants with diabetes and CVD at baseline. CONCLUSIONS: The HHS, based on a set of modifiable-lifestyle factors, is strongly associated with risk of frailty in older women.

Associations of device-measured sleep, sedentariness and physical activity with growth differentiation factor 15 in older adults.

BACKGROUND: Growth differentiation factor 15 (GDF-15) is a biomarker for chronic disease burden that might explain the health effects of sedentary behaviours (SBs) and physical activity (PA). We examined associations of device-measured sleep, SB and PA, and time reallocations among them, with GDF-15 in older adults. METHODS: We used data from 2245 older adults participating in the Seniors-ENRICA-2 study. Wrist-worn accelerometers were employed to ascertain total time in sleep, SB, light PA (LPA) and moderate-to vigorous PA (MVPA). Associations between these activities and serum GDF-15 levels were analysed using linear regression, including isotemporal substitution models for time reallocations among activities, and adjusted for potential confounders. Analyses were conducted separately in two groups (less active and more active individuals) according to the median total PA time. RESULTS: In the less active participants, 30 min/day more of MVPA were related to lower levels of GDF-15 when replacing sleep (fully adjusted mean percentage differences [95% confidence interval] in GDF-15 of -9.2% [-13.2, -5.0]), SB (-9.8% [-13.6, -5.8]) and LPA (-5.8% [-11.1, -0.3]), whereas 30 min/day more of LPA were related to lower GDF-15 when replacing both sleep (-3.6% [-6.1, -1.0]) and SB (-4.2% [-6.7, -1.7]). In the more active participants, 30 min/day more of MVPA were also associated with lower GDF-15 when replacing sleep (-2.9% [-5.3, -0.3]), SB (-2.4% [-4.6, -0.2]) and LPA (-3.5% [-6.6, -0.3]), but no associations were found for more time in LPA. Spending more time in SB was associated with higher GDF-15 levels only among those less active (1.9% [0.9, 2.9] per 30 min/day increment). Sleep time did not appear to be associated with GDF-15. CONCLUSIONS: The MVPA was inversely associated with GDF-15, with stronger associations at lower PA volumes. Also, more LPA and less SB time were linked to lower GDF-15 in the less active individuals. This suggests that simply moving more and sitting less may reduce chronic disease burden in older adults.

Association of prolonged nightly fasting with cardiovascular, renal, inflammation, and nutritional status biomarkers in community-dwelling older adults.

BACKGROUND: Prolonged fasting as a dietary strategy has been linked to metabolic benefits; however, data supporting these benefits corresponded to studies in very small samples of young participants in controlled environments, with few cardiovascular risk markers, who were studied for short periods of time. OBJECTIVES: We sought to assess the association of habitual prolonged nightly fasting with a wide array of cardiovascular, renal, inflammation, and nutritional status biomarkers among community-dwelling older adults. METHODS: Cross-sectional analysis of data were obtained from 1047 adults aged ≥65 y from the Seniors Study on Nutrition and Cardiovascular Risk in Spain 2 (Seniors-ENRICA-2) cohort. Habitual diet was assessed through a validated diet history. Fasting time was classified into the following categories: <10, 10 to <12, and 2 h/d, the latter being considered prolonged nightly fasting. Adjusted geometric means of biomarker concentrations in blood and serum were estimated using linear regression models, by categories of fasting time. Main confounders included overall diet quality, defined as adherence to a Mediterranean diet score, and BMI (in kg/m2). RESULTS: Longer fasting time was associated with: lower concentration of HDL cholesterol (difference between the longest and shortest fasting category: -2.94 mg/dL; 95% CI: -4.80, -1.09; P-trend: 0.01); higher potassium concentration (0.11 mEq/L; 95% CI: 0.03, 0.19; P-trend: 0.01); and lower concentration of chloride (-0.50 mEq/L; 95% CI: -0.91, -0.09; P-trend: 0.03). These results were slightly attenuated after additional adjustment for BMI. CONCLUSIONS: Habitual prolonged nightly fasting did not show beneficial associations with the examined biomarkers. By contrast, some modest detrimental associations were found suggesting that extended periods of time between meals may not be beneficial for older adults.