Meal skipping patterns and nutrient intakes of rural southern elderly

The socioecological correlates of meal skipping in community-dwelling older adults: a systematic review

CONTEXT

Meal skipping may contribute to nutrient deficiency across the lifespan. Multiple socioecological factors have been identified as correlates of meal skipping in adolescents and adults, but evidence in older adults is limited.

OBJECTIVE

To determine the socioecological correlates of meal skipping in community-dwelling older adults.

DATA SOURCE

Embase, PsycINFO, CINAHL, and MEDLINE electronic databases were systematically searched from inception to March 2021.

DATA EXTRACTION

A total of 473 original research studies on socioecological factors and meal skipping among community-dwelling adults aged ≥65 years were identified. Title, abstract, and full-text review was performed by 2 reviewers independently, and a third reviewer resolved disagreements. A total of 23 studies met our inclusion criteria. Data were extracted by 1 reviewer from these studies and independently verified by another. The Newcastle-Ottawa Scale was used to assess methodological quality.

DATA ANALYSIS

The frequency of meal skipping in included studies ranged between 2.1% and 61%. This review identified 5 domains of socioecological correlates associated with meal skipping in older adults: sociodemographic, behavioral, biomedical, psychological, and social.

CONCLUSION

Understanding the factors associated with meal skipping in older adults can inform the development of targeted interventions to improve nutrition and health.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO registration no. CRD42021249338.

Correlates of Meal Skipping in Community Dwelling Older Adults: A Cross-Sectional Study

In this cross-sectional analysis of 10,071 community dwelling adults aged ≥70 years, we examined factors associated with meal skipping (self-reported) using multivariable logistic regression. Prevalence of meal skipping in this study was 19.5%. The adjusted odds (aOR [95%CI]) of meal skipping were lower in those 85+ years (vs. 70-74.9 years, 0.56 [0.45-0.70]), and in those in regional areas (vs. urban area, 0.81 [0.72-0.92]). Higher odds of meal skipping were observed for those living alone (vs. living with someone, 1.84 [1.64-2.05]), current smokers (vs. non-smokers, 2.07 [1.54-2.80]), consumers of high amounts of alcohol (vs. abstainers 1.93 [1.35-2.75]), those with poor oral health (vs. excellent oral health, 1.71 [1.07 -2.73]) diabetes (vs. not 1.26 [1.06-1.50]), or frailty (vs. not, 1.63 [1.09-2.43]). This study identified socio-demographic, social, behavioural and biomedical correlates of meal skipping in later life, which may assist in targeting interventions to address meal skipping.

Nutritional status and dietary pattern of the elderly in Thulamela Municipality of Vhembe District

BACKGROUND

Dietary patterns provide comprehensive information about the food consumption habits within a population and how an individual's dietary pattern may change with age.

AIM

To evaluate the nutritional status and dietary patterns of the elderly in Thulamela municipality of Vhembe district, Limpopo province.

SETTING

Study was conducted in Thulamela municipality of Vhembe district, Limpopo province.

METHODS

This study included 300 elderly people recruited from Thulamela municipality of Vhembe district, Limpopo province. The municipality was randomly selected, and convenience sampling was used to choose elderly people. Body weight and height were measured using standard techniques. Body mass index (BMI) was determined and classified using BMI categories. Data on dietary patterns and dietary intake were collected using a food frequency questionnaire.

RESULTS

A total of 300 elderly people from villages participated in the study. About 38.6% of elderly people had a primary education, while 28.1% had a secondary education. The prevalence of underweight, overweight and obesity was 2.0%, 34.0% and 17.0%, respectively. Less than half of the elderly people did not meet the reference intake of energy (p = 0.023). More than half of the elderly people did not meet the reference intake of protein, iron, zinc, potassium, calcium and vitamins B1, B12 and C. It was found that 13.7% of the elderly skipped breakfast every day. About 19.6% of the elderly ate supper sometimes, while 13.7% did not eat supper.

CONCLUSION

The findings of the study revealed that most of the participants ate three main meals a day, with a minority skipping either breakfast or dinner or eating in between meals. The prevalence of underweight was low and that of overweight and obesity was high.Contribution: Poor food choices and physiological changes may reduce the inclusion of food rich in minerals and vitamins in the elderly's diets and prompt the prevalence of malnutrition.

Meal Patterns of Older Adults: Results from the OUTDOOR ACTIVE Study

Eating habits have a substantial effect on health, not only because of consumed foods and nutrients, but also because of the regularity of meals. This study investigates meal patterns in older adults. Data from 1198 adults (52.8% female) aged between 65 and 75 years, who resided in Bremen, Germany, were included in this cross-sectional study. Using a self-administered questionnaire, daily meals were assessed and categorised into three meal pattern types: ‘regular eaters’ (eating at least three meals a day), ‘meal skippers’ (skipping one meal a day), and ‘irregular eaters’ (skipping more than one meal a day). Descriptive analyses were carried out, stratified by sex and meal pattern types. Most women and men were regular eaters (51.5% and 51.7%, respectively), 33.8% of women and 33.3% of men were meal skippers, and 14.7% of women and 15.0% of men were irregular eaters. Differences between meal patterns were seen with regard to socioeconomic status; self-rated health; body-mass index; hypertension; consumption of self-prepared meals; and consumption of whole-grain products, green vegetables, meat, and alcohol. The results provide first insights into possible associations between meal patterns and sociodemographic and health factors, and can benefit disease prevention and health promotion in older adults.

Correlates of meal skipping in young adults: a systematic review

Background

Meal skipping rates may be highest during young adulthood, a period of transition and development. Although these dietary behaviours may increase future risk of chronic disease, limited research has investigated correlates of meal skipping in young adults.

Methods

A systematic literature search was conducted to identify studies that investigated correlates of meal skipping behaviours in young adults (aged 18–30 years). EBSCO host, MEDLINE Complete, Global Health, Scopus, EMBASE, Web of Science and Informit platforms were searched for eligible articles. Correlates were defined as any factor that was either associated with meal skipping or was self-reported by the participant to have an influence on meal skipping. Randomised controlled trials, prospective cohort studies, case-control studies, nested case-control studies, cross-sectional studies, and longitudinal studies were eligible for inclusion.

Results

Three-hundred and thirty-one articles were identified, 141 full-text articles assessed for eligibility, resulting in 35 included studies. Multiple methodological and reporting weaknesses were apparent in the reviewed studies with 28 of the 35 studies scoring a negative rating in the risk of bias assessment. Meal skipping (any meal), defined as the skipping of any meal throughout the day, was reported in 12 studies with prevalence ranging between 5 and 83%. The remaining 25 studies identified specific meals and their skipping rates, with breakfast the most frequently skipped meal 14–88% compared to lunch 8–57% and dinner 4–57%. Lack of time was consistently reported as an important correlate of meal skipping, compared with correlates such as cost and weight control, while sex was the most commonly reported associated correlate. Breakfast skipping was more common among men while lunch or dinner skipping being more common among women.

Conclusions

This review is the first to examine potential correlates of meal skipping in young adults. Future research would benefit from stronger design and reporting strategies, using a standardised approach for measuring and defining meal skipping.

Electronic supplementary material

The online version of this article (doi:10.1186/s12966-016-0451-1) contains supplementary material, which is available to authorized users.

Social isolation as a risk factor for inadequate diet of older Eastern Europeans

OBJECTIVES

Social isolation has been shown to be a risk factor for inadequate diet among older adults living in Western Europe and North America. This article investigates whether socially isolated older adults (65+) living in Eastern Europe also experience an increased risk of dietary inadequacy.

METHODS

The study used SHARE IV survey data collected in the Czech Republic (n = 2,867), Poland (n = 772), and Hungary (n = 1,353). Logistic regression models were estimated for each country separately to predict the likelihood of two proxies for dietary adequacy, having three meals a day and/or a serving of fruits or vegetables, by social isolation.

RESULTS

Social isolation was associated with lower likelihood of having three meals a day among Czech older adults (OR 0.39) and with lower likelihood of having a daily serving of fruits or vegetables among Czech (OR 0.62) and Polish older adults (OR 0.35). No association between social isolation and either one of the outcomes was found in Hungary.

CONCLUSIONS

Socially isolated Eastern European older adults may be at a higher risk of dietary inadequacy, particularly in the Czech Republic and Poland.

Baseline determinants of global diet quality in older men and women from the NuAge cohort

Judicious food choices are of prime importance during aging.

OBJECTIVES

This study was conducted to identify individual and collective attributes determining global diet quality (DQ).

METHODOLOGY

Participants were 1,793 adults (52% women) from the NuAge study on nutrition and successful aging. Subjects aged 67 to 84 years in relatively good health were recruited from the Québec Medicare Database. Sociodemographic, affective, and cognitive data, health conditions, perceived physical health and functional status, dietary habits and dietary attributes and community resources were obtained using questionnaires. Body weight and height were measured and body mass index (BMI) was calculated. Three non-consecutive 24-hour diet recalls were collected at recruitment. DQ, assessed using the Canadian Healthy Eating Index (C-HEI, /100), was computed on the mean intakes from the diet recalls. Analyses were stratified by gender. Variables significantly related to DQ in bivariate analyses (p<.05) were entered into backward stepwise multiple regression analyses.

RESULTS

Among men, the final model showed higher education (β=0.23, p=.01), diet knowledge (β=0.96, p<.0001), number of daily meals (β=1.91, p=.02) and perceived physical health (β=0.06, p=.01) to be positive determinants of DQ, whereas alcohol consumption (β=-2.25, p=.05), wearing dentures (β=-2.31, p=.01) and eating regularly in restaurants (β=-1.65, p=.03) were negative determinants of DQ (adjusted R2 = 13.7%). Among women, higher education (β=0.29, p=.002), diet knowledge (β=0.54, p=.002), number of daily meals (β=3.61, p<.0001), and hunger (β=0.61, p<.0001) were positive determinants of global DQ; greater BMI (β=-0.16, p=.03) and chewing problems (β=-0.48, p=.03) were negative determinants of DQ (adjusted R2 = 7.8%).

DISCUSSION

These results point to several key factors influencing global DQ in older adults and also show gender-based differences. More research must be done to better understand how these factors change with aging and exert their impact on diet, particularly since variance in DQ was largely unexplained. As diet knowledge was an independent predictor for both genders, targeted, sustainable interventions are needed to ensure good diet quality as people age.

Predictors of food variety and dietary diversity among older persons in Botswana

OBJECTIVE

We investigated whether food variety and diversity are associated with physical and cognitive functioning in older adults in Botswana and designed a simple set of screening questions that predict food variety in this population.

METHODS

Data were collected (1998) as a national household survey of 1085 subjects 60 y and older. A food variety score, based on a food frequency checklist, was calculated by summing the frequency of weekly intakes of 16 food items (0 to 66). A dietary diversity score was calculated as the number of food groups consumed weekly (0 to 5). A representative subsample (n = 393) was randomly selected for the clinical component of the survey, and measurements on dependency and cognitive function were conducted.

RESULTS

Low food variety was found: 35.2%, 59.3%, and 22.4% of subjects consumed no dairy products, fruits, and vegetables, respectively. A higher food variety score was associated with urban residence, ownership of cattle, higher education, and more frequent meals, and these indicators were used to construct a nutritional risk indicator. Higher food variety score was associated with better self-reported health and better cognitive function. Similarly, a higher score on the nutritional risk indicator screening tool was associated with desirable health outcomes.

CONCLUSION

A limited number of foods is consumed, leading to an overall pattern of poor food variety. Higher food variety was associated with improved physical and cognitive functions. A screening tool that predicts food variety in this population has been developed and is recommended to be incorporated at a primary care level to identify older adults most at risk of a poor quality diet.

Commensal eating patterns: a community study

Commensality is eating with other people, and commensal eating patterns reflect the social relationships of individuals. This study examined usual meal partners in commensal units and frequency of eating with others in commensal circles among 663 adults responding to a mailed questionnaire in one community. Meal partner data revealed that most respondents ate alone at breakfast, alone or with co-workers at lunch, and with family members at dinner. Commensal frequency data revealed some eating at the homes of other family members, little eating at friends' homes, and almost no eating at neighbors' homes. Few demographic variations existed in commensal eating, except that unmarried individuals more often ate breakfast and dinner alone and more often ate with friends. These finding suggest that contemporary work-oriented society may lead people to eat alone during the day but share evening meals with family, and that people maintain commensal relationships primarily with family members rather than friends or neighbors. Peoples' social worlds appear to be focused on the nuclear family, and family members are also the people they usually eat with.

Determinants of health-promoting lifestyle behaviors in rural older women

The purpose of this study was to: (a) describe the health-promoting lifestyle behaviors and attempts at change among 102 community-dwelling rural women aged 65 and older, and (b) determine the extent to which personal influences (demographics, definition of health, and perceived health status) and contextual influences (sources of health information and provider counseling) explain health-promoting lifestyle behaviors and attempts at change among those women. They scored highest on frequency of nutrition behaviors and lowest on frequency of physical activity behaviors. They had attempted change in from zero to five areas of health-promoting lifestyle within the past year. Multiple regression analyses revealed that younger age, living with other(s), defining health as wellness, better perceived mental health, more sources of health information and provider counseling were significantly associated with health-promoting lifestyle behaviors. Only younger age and more sources of health information were significantly associated with attempts at change. These findings provide information that is relevant in designing interventions to enhance health-promoting lifestyle behaviors among rural older women.