There is a lack of detailed information on dietary intake in elderly people at an individual level, which is crucial for improvement of nutritional support. The aim of this study was to investigate the dietary intake in elderly people in two types of living situations. Observational study, analysing prospective data. The dietary intake was studied in elderly people living at home or in nursing home, in different cities of Sweden. A total of 264 elderly people (mean age 84) participated in the observational study. Dietary intake was measured using weighed food records and food diaries, comparing females and males. The observed dietary intake was related to Recommended intake and Lower intake level. All dietary intake and patient characteristic variables showed large individual differences (ranges). We found no significant differences (p>0.05) between those living at home and nursing home residents regarding the average intake of energy, protein and water when expressed as total intake per kg of body weight. A very low daily intake of energy (<20 kcal/kg body weight/day) was observed in 16% of the participants. For vitamin D and iron, 19% and 15%, respectively, had intakes below the Lower intake level. There was no correlation between intake of energy, protein or water and resident characteristics such as age, autonomy, morbidity, nutritional state or cognition. The large individual differences (ranges) in energy, nutrients and water show that the use of mean values when analysing dietary intake data from elderly people is misleading. From a clinical perspective it is more important to consider the individual intake of energy, nutrients and water. Ageism is intrinsic in the realm of ‘averageology’.

Background: There is no accepted or standardized definition of ‘malnutrition’. Hence, there is also no definition of what constitutes an adequate nutritional status. In elderly people, assessment of nutritional status is complex and is complicated by multi-morbidity and disabilities combined with nutrition-related problems, such as dysphagia, decreased appetite, fatigue, and muscle weakness. Objective: We propose a nutritional status model that presents nutritional status from a comprehensive functional perspective. This model visualizes the complexity of the nutritional status in elderly people. Design and results: The presented model could be interpreted as the nutritional status is conditional to a person’s optimal function or situation. Another way of looking at it might be that a person’s nutritional status affects his or her optimal situation. The proposed model includes four domains: (1) physical function and capacity; (2) health and somatic disorders; (3) food and nutrition; and (4) cognitive, affective, and sensory function. Each domain has a major impact on nutritional status, which in turn has a major impact on the outcome of each domain. Conclusions: Nutritional status is a multifaceted concept and there exist several knowledge gaps in the diagnosis, prevention, and optimization of treatment of inadequate nutritional status in elderly people. The nutritional status model may be useful in nutritional assessment research, as well as in the clinical setting.

The aim was to describe a population of older people in home health care based on what is probably a novel theoretical model, previously published, and to analyze longitudinal changes in different dimensions of nutritional status. This explorative and longitudinal study examines nutritional status based on four domains in the novel theoretical model: health and somatic disorders; cognitive, affective, and sensory function; physical function and capacity; and food and nutrition. Inclusion criteria were age ≥65 y and need of home health care for more than three months. A total of 69 men and women were enrolled in the study. Participants' nutritional status was studied at baseline and regularly during the following three years. At baseline, 44% (n = 27) reported one or more severe symptoms and 83% had polypharmacy (≥5 prescribed medications). The prevalence of malnutrition, sarcopenia, frailty, and dehydration at baseline were, respectively, 83% (n = 35), 44% (n = 24), 34% (n = 18), and 45% (n = 25). Participants that died during the 3-y follow-up (n = 14) differed from survivors in the following aspects: more reduced appetite, lower quality of life, worse cognitive function, lower physical activity, and less intake of dietary fiber and water. Dehydration at baseline was associated with lower function in several domains and with general decline over time. Most participants had poor nutritional status. Dehydration and reduced appetite were important indicators of worsening nutritional and overall status and mortality.

Many of the increasing number of community-dwelling older adults will need increased healthcare in the future. By characterising gut health and its association with wellbeing and nutrient intake in this population, we aim to recognise areas along the gut–brain axis through which the health of community-dwelling older adults might be promoted. In this cross-sectional observational study, validated questionnaires were used to assess gut health, nutrient intake, and wellbeing in 241 community-dwelling older adults (≥65 years old). In total, 65% of the participants experienced at least one gastrointestinal symptom, of which females had more abdominal pain and constipation, while the oldest old (i.e., ≥80 years old) had more diarrhoea. Increased gastrointestinal symptoms correlated with more stress, anxiety, depression, and a decreased quality of life, in addition to dyspepsia which correlated with a lower E% of protein. Most of the participants did not reach the recommended intake for protein, fibre and polyunsaturated fats. Males had a lower intake of protein (E%) and fibre (g/MJ) than females, and the oldest old had a lower E% of protein than younger older adults. In conclusion, our results demonstrate that gastrointestinal symptoms are common, and most of the study participants had an imbalanced macronutrient intake, which could be a target for future possible dietary interventions to improve overall health.

The nutritional status is seldom defined in general, but is considered to be important throughout life span, especially in times of diseases and disabilities. We previously proposed a theoretical model of the nutritional status from a functional perspective [1], however without proposing a definition of the nutritional status. The model comprises four domains that might affect the nutritional and functional status in a bidirectional way. These four domains are: Food and nutrition; Health and somatic disorders; Physical function and capacity; and Cognitive, affective, and sensory function. This study contributes to the existing literature and knowledge by empirically analysing patterns and relationships of possible nutritional status indicators within and between the four domains. This study is based on a sample of 69 men and women; older than 65 years, receiving home health care. They were followed up for three years. A broad set of nutritional status indicators in the participants were assessed in their home yearly. Given the small sample size and large number of variables, we used both correlation and factor analysis to explore patterns of nutritional status indicators within the four domains and relationships between the four domains suggested by the theoretical model of nutritional status which we proposed earlier. At baseline, between 4 and 18 components were extracted from the four domains, separately, using factor analysis. The first three components of each domain (called main components) were correlated (p < 0.05) with at least one of the main components of each of the other three domains (r = -0.34-0.79 at baseline, 0.38-0.74 at year 1, 0.40-0.77 at year 2 and 0.47-0.71 at year 3). At baseline, these main components explained, respectively, 31%, 52%, 57% and 63% of the sample variation in the four domains. This remained stable throughout all three years of follow up. In all four domains, there were statistically significant differences in prevalence of malnutrition, frailty, sarcopenia, and dehydration (all different inadequate nutritional status) between individuals' individual component scores. This study provides empirical evidence for the relationship between nutritional status indicators within and between the four domains suggested by our theoretical model of nutritional status. Components in all four domains were associated with inadequate nutritional status, highlighting that a wide perspective of the nutritional status assessment is necessary to be applied in clinical practice.