Advantage of Dairy for Improving Aging Muscle

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.

A More Supportive Social Environment May Protect Against Nutritional Risk: A Cross-Sectional Analysis Using Data From the Canadian Longitudinal Study on Aging

BACKGROUND

Nutritional risk has been linked to individual social factors, but the relationship with the overall social environment has not been assessed.

OBJECTIVES

To evaluate associations between different support profiles of the social environment and nutritional risk using cross-sectional data from the Canadian Longitudinal Study on Aging (n = 20,206). Subgroup analyses were performed among middle-aged (range, 45-64 y; n = 12,726) and older-aged (≥65 y, n = 7480) adults. Consumption of major food groups [whole grains, proteins, dairy products, and fruits and vegetables (FV)] by social environment profile was a secondary outcome.

METHODS

Latent structure analysis (LSA) classified participants into social environment profiles according to data on network size, social participation, social support, social cohesion, and social isolation. Nutritional risk and food group consumption were assessed with the SCREEN-II-AB and Short Dietary questionnaires, respectively. ANCOVA was conducted to compare SCREEN-II-AB mean scores by social environment profile, adjusted for sociodemographic and lifestyle factors. Models were repeated to compare mean food group consumption (times/day) by social environment profile.

RESULTS

LSA identified 3 social environment profiles classified as low, medium, and high support (17%, 40%, and 42% of the sample, respectively). Adjusted mean SCREEN-II-AB scores significantly increased with increasing social environment support, with the low support score indicating high nutritional risk status [low, medium, high support, respectively: 37.1 (99% CI: 36.9, 37.4), 39.3 (39.2, 39.5), 40.3 (40.2, 40.5), all comparisons P < 0.0001]. Results were consistent among age subgroups. The low support social environment profile had lower consumption of protein [low, medium, high support, respectively (mean ± SD): 2.17 ± 0.09, 2.21 ± 0.07, 2.23 ± 0.08, P = 0.004], dairy (2.32 ± 0.23, 2.40 ± 0.20, 2.38 ± 0.21, P = 0.009), and FV (3.65 ± 0.23, 3.94 ± 0.20, 4.08 ± 0.21, P < 0.0001), with some variation among age subgroups.

CONCLUSIONS

The low support social environment profile had the poorest nutritional outcomes. Therefore, a more supportive social environment may protect against nutritional risk among middle- and older-aged adults.

The association between healthy beverage index and sarcopenic obesity among women with overweight and obesity: a cross-sectional study

INTRODUCTION

Sarcopenic obesity is related to changes in body composition, loss of muscle mass, and raised adipose tissue. Beverage patterns are effective with changes in health status. Therefore, the aim of this study was to investigate the association between sarcopenic obesity (SO) and the healthy beverage index (HBI) in women with overweight and obesity.

METHODS

This cross-sectional study conducted on 210 overweight and obese (BMI ≥25 kg/m²) women aged 18-56 years. The measurement of skeletal muscle mass (SMM) and fat mass (FM) done by bioelectric impedance analyzer (BIA) (Inbody Co., Seoul, Korea) based on guidelines. The two lowest quintiles SMM and the two highest quintiles FM and body mass index (BMI) ≥30 are considered sarcopenic obesity in women. A validated and reliable semi-quantitative food-frequency questionnaire (FFQ) was used to evaluate the beverage dietary data. and RFS and NRFS was calculated. Biochemical assessments were quantified by standard approaches, and physical activity were evaluated by international physical activity questionnaire (IPAQ).

RESULT

In this cross-sectional study, 210 overweight and obese females took part (18-56) years old). The studies were carried out using binary logistic regression. After controlling for a wide variety of confounding variables such as age, energy intake, physical activity, education, and economic status, we found a negative association between HBI and risk of SO (OR = 0.29, 95% CI = 0.35 to 1.01, P = 0.05).

CONCLUSION

We observed that the odds of SO was reduced by 69% in participants with higher HBI score. More well-designed studies need to confirm our findings.

Evaluation of Trace Element and Heavy Metal Levels of Some Ethnobotanically Important Medicinal Plants Used as Remedies in Southern Turkey in Terms of Human Health Risk

Heavy metal accumulation in medicinal plants has increased dramatically in recent years due to agricultural and industrial activities leading to pollution of natural sources. This study is focused on the concentration of trace elements and heavy metals in aboveground parts of 33 medicinal plants from the Eastern Mediterranean of Turkey. Results showed that the Al concentrations varied between 4.368 and 1104.627, the B level varied between 47.850 and 271.479, Ca values ranged between 1971.213 and 22,642.895, Cd concentrations ranged between 0.011 and 0.651, Cr contents varied between 1.371 and 41.692, Cu values varied between 13.278 and 42.586, Fe concentrations varied between 20.705 and 1276.783, K levels ranged between 652.143 and 14,440.946, Mg concentrations varied from 336.871 to 1869.486, Mn contents varied between 46.383 and 849.492, Na concentrations varied between 167.144 and 3401.252, Ni values varied between 0.065 and 9.968, Pb levels ranged between 1.311 and 16.238, and Zn concentrations ranged between 67.250 and 281.954 mg kg^-1, respectively. Furthermore, Recommended Dietary Allowance (RDA) values for trace elements and estimated daily intake (EDI), target hazard quotient (THQ), and hazard index (HI) for heavy metals were calculated. The concentrations of heavy metals in some studied plants distributed in industrial and mining regions were found as slightly higher than the acceptable limits determined by WHO. Consequently, in order to prevent this heavy metal accumulation, when collecting medicinal aromatic plants, rural areas, close to clean rivers, or mountainous areas should be preferred, away from highway, mining, and industrial areas.

General Practitioners’ Perspective towards Healthy Ageing in Indonesia

Background: The rapid ageing population among older adults from 2020 to 2040 has led to an emerging focus as this group begins to experience ageing and has a higher risk of having chronic illness of non-communicable diseases. Therefore, it is important to provide General Practitioners (GPs) with adequate knowledge and attitude of healthy ageing to ensure the quality of health service among older adults.Objectives: To identify the perspective of general practitioners including the knowledge, attitude and practice towards adult health and nutrition to support healthy ageing in Indonesia.Methods: An online survey was conducted among 100 general practitioners registered at the Indonesian Medical Council (KKI) and domiciled in the Greater Jakarta area and outside the Jabodetabek area. The sample recruitment process was carried out using the Alomedika online application. All data were analyzed using SPSS software.Results: Almost all (92%) of respondents who took this survey had a supportive attitude in providing additional nutrition to adults to support healthy ageing. About 76% of the respondents did so by recommending milk. However, in terms of knowledge, around 67% of the respondents showed inadequate results, especially about physiological changes that occurred in adults. There is no statistically significant difference between respondents’ demographic characteristics and all perspectives measured in this study (i.e., knowledge, attitude and practice)Conclusions: The study indicates that it is important to educate general practitioners about the healthy aging process in order to maintain general practitioners' attitudes and behavior in health services to support the success of achieving healthy aging in Indonesia.

Effect of Dairy Protein Intake on Muscle Mass among Korean Adults: A Prospective Cohort Study

This cohort study aimed to identify the associations of dairy protein intake with the risk of developing a low muscle mass during a 12-year follow-up period, using data from 4412 middle-aged Korean Genome and Epidemiology Study participants with a normal baseline muscle mass. Dairy protein intake at baseline was assessed using a semi-quantitative Food Frequency Questionnaire. Skeletal muscle mass index (SMI), defined as the weight-adjusted skeletal muscle mass, was measured biennially using multi-frequency bioelectrical impedance analyses. Cox proportional hazards regression analysis was used to calculate multivariable-adjusted hazard ratios (HRs) and 95% confidence intervals (CIs). Overall, 395 subjects developed a low SMI (%) during an average follow-up of 141 (19-152) months. The average consumption of milk and other dairy products was 73.6 and 104.1 g/day, respectively. In men, a higher dairy protein intake was associated with a decreased risk of developing a low SMI (tertile 3 [T3] vs. T1, HR: 0.63; 95% CI: 0.42, 0.94; p for trend = 0.029). In a stratified analysis according to a total protein intake, this association was stronger in the lower-protein intake group (HR: 0.59; 95% CI: 0.35, 0.99; p for trend = 0.036) but not detected in the higher-protein intake group. Men who consumed milk ≥1 time/day had a significantly lower risk of developing a low SMI (HR: 0.62; 95% CI: 0.39, 0.98; p for trend = 0.023). No significant associations were observed in women. In summary, dairy consumption appears to be beneficial for decreasing the risk of developing a low muscle mass in middle-aged Korean men.