Malnutrition is widespread among older people and related to poor outcome. Reported prevalences vary widely, also because of different diagnostic criteria used. This study aimed to describe prevalences in several populations of older persons in different settings using harmonized definitions. Available studies within the Joint Programming Initiative (JPI) Knowledge Hub 'Malnutrition in the Elderly' (MaNuEL) were used to calculate and compare prevalences of malnutrition indicators: low BMI (<20 kg/m2; age-specific BMI <20 if age 65-<70 and <22 kg/m2 if age ≥70 years), previous weight loss (WL), moderate and severe decrease in food intake, and combined BMI <20 kg/m2 and/or WL in participants aged ≥65 years. Fifteen samples with in total 5956 participants (59.3% women) were included: 7 consisting of community-dwelling persons, 2 studies in geriatric day hospitals, 3 studies in hospitalized patients and 3 in nursing homes. Mean age of participants ranged between 67 and 87 years. Up to 4.2% of community-dwelling persons had a BMI <20 kg/m2, 1.6 and 9% of geriatric day hospital patients, 4.5-9.4% of hospital patients and 3.8-18.2% of nursing home residents. Using age-specific cut-offs doubled these prevalences. WL was reported in 2.3-10.5% of community-dwelling persons, 6% and 12.6% of geriatric day hospital patients, 5-14% of hospitalized patients and 4.5-7.7% of nursing home residents. Severe decrease in food intake was recorded in up to 9.6% of community-dwelling persons, 1.5% and 12% of geriatric day hospital patients, 3.4-34.2% of hospitalized patients and 1.5-8.2% of nursing home residents. The criteria age-specific BMI and WL showed opposing prevalences across all settings. Compared to women, low BMI and moderate decrease in food intake showed low prevalences in men but similar prevalences were observed for weight loss and severe decrease in food intake. In half of the study samples, participants in a younger age group had a higher prevalence of WL compared to those of an older age group. Prevalence of BMI <20 kg/m2 and WL at the same time did not exceed 2.6% in all samples. The highest prevalences were observed based on combined definitions when only one of the three criteria had to be present. Prevalences for different criteria vary between and within the settings which might be explained by varying functional status. The criteria used strongly affect prevalence and it may be preferable to look at each criterion separately as each may indicate a nutritional problem.

The number of people of advanced age (85 years and older) is increasing and health systems may be challenged by increasing health-related needs. Recent overseas evidence suggests relatively high levels of wellbeing in this group, however little is known about people of advanced age, particularly the indigenous Māori, in Aotearoa, New Zealand. This paper outlines the methods of the study Life and Living in Advanced Age: A Cohort Study in New Zealand. The study aimed to establish predictors of successful advanced ageing and understand the relative importance of health, frailty, cultural, social & economic factors to successful ageing for Māori and non-Māori in New Zealand.

To establish the prevalence of high nutrition risk and associated health and social risk factors for New Zealand Māori and non-Māori in advanced age. A cross sectional analysis of inception cohorts to LiLACS NZ. Bay of Plenty and Lakes region of the North Island, New Zealand. 255 Māori and 400 non- Māori octogenarians. Nutrition risk was assessed using a validated questionnaire Seniors in the Community: Risk Evaluation for Eating and Nutrition (SCREEN II). Demographic, social, physical and health characteristics were established using an interviewer administered questionnaire. Health related quality of life (HRQOL) was assessed with the SF-12, depressive symptoms using the GDS-15. Half (49%) of Māori and 38% of non-Māori participants were at high nutrition risk (SCREEN II score <49). Independent risk factors were for Māori younger age (p=0.04), lower education (p=0.03), living alone (p<0.001), depressive symptoms (p=0.01). For non- Māori high nutrition risk was associated with female gender (p=0.005), living alone (p=0.002), a lower physical health related quality of life (p=0.02) and depressive symptoms (p=0.002). Traditional risk factors apply to both Māori and non-Māori whilst education as indicative of low socioeconomic status is an additional risk factor for Māori. High nutrition risk impacts health related quality of life for non-Māori. Interventions which socially facilitate eating are especially important for women and for Māori to maintain cultural practices and could be initiated by routine screening.

The ageing of the population globally and in New Zealand (NZ) was the main driver for this study. In Aoteoroa, New Zealand, little is known about Māori and non-Māori of advanced age, yet population projections predict a trebling of the number of Māori and a doubling of non-Māori octogenarians in the next 10 years. ¹

The increasing prevalence of frailty with age is becoming a public health priority in countries with ageing populations. Pre-frailty presents a window of opportunity to prevent the development of frailty in community-dwelling older adults. This study aimed to examine the effectiveness of a complex intervention that combined a nutrition-based intervention and a physical activity intervention, along with the effectiveness of each intervention individually, to reduce physical frailty in pre-frail older adults over 2 years. In this single-blind, 2 x 2 factorial, randomised, controlled trial, we recruited pre-frail community-dwelling older adults in Aotearoa New Zealand via mail through general medical practices. To be eligible, participants had to be pre-frail according to self-reported FRAIL scores of 1 or 2, aged 75 years or older (or 60 years or older for Māori and Pacific Peoples), not terminally ill or with advanced dementia as judged by a general practitioner, able to stand, medically safe to participate in low-intensity exercise, and able to use kitchen utensils safely. Participants were randomly allocated to receive an 8-week Senior Chef programme (SC group), a 10-week Steady As You Go programme (SAYGO group), a 10-week combined SC and SAYGO intervention (combined group), or a 10-week social programme (control group), using computer-generated block randomisation administered through an electronic data capture system by local study coordinators. Assessors were masked to group allocation for all assessments. SC is a group-based nutrition education and cooking class programme (3 h weekly), SAYGO is a group-based strength and balance exercise programme (1 h weekly), and the social control programme was a seated, group socialising activity (once a week). Masked assessors ascertained Fried frailty scores at baseline, end of intervention, and at 6, 12, and 24 months after the programme. The primary outcome was change in Fried frailty score at 2 years. Intention-to-treat analyses were completed for all randomised participants, and all participants who had a high (≥75%) adherence were analysed per protocol. This study is registered at ANZCTR, ACTRN12614000827639. Between May 12, 2016 and April 9, 2018, we assessed 2678 older adults for eligibility, of whom 468 (17%) consented and completed baseline assessment, with a mean age of 80·3 years (SD 5·1) and a mean Fried score of 1·9 (1·2); 59% were women. We randomly allocated these participants into the four groups: 117 in the SC group, 118 in the SAYGO group, 118 in the combined group, and 115 in the control group; 318 participants attended the 24-month follow-up: 89 in the SC group, 78 in the SAYGO group, 73 in the combined group, and 78 in the control group. At the 24-month follow-up, there were no differences in mean Fried scores between the intervention groups and the control group. No adverse events were reported. The study did not find that the combined SC and SAYGO programme was effective in reducing frailty in pre-frail older adults. Although some short-term benefits were observed in each individual programme, there was no clear evidence of long-term impact. Further research is needed to evaluate combinations of group-based programmes for community-dwelling older adults to optimise their physical function. Health Research Council New Zealand and Ageing Well Challenge (Ministry of Business Innovation and Employment).