| Literature DB >> 31146443 |
Evans A Asamane1, Carolyn A Greig2,3,4, Justin A Aunger5, Janice L Thompson6.
Abstract
Ethnic minorities have a high prevalence of non-communicable diseases relating to unhealthy lifestyle practices. Several factors have been identified as influencing unhealthy lifestyle practices among this population; however, there is little evidence about how these factors differ among a heterogeneous sample living in a super-diverse city. This study aimed to: (1) identify and compare factors influencing eating behaviours and physical function among ethnic older minorities living in Birmingham, United Kingdom; and (2) understand how these factors and their association with healthy eating and physical function changed over 8-months. An in-depth interviewing approach was used at baseline (n = 92) and after 8-months (n = 81). Interviews were transcribed verbatim and analysed using directed content analysis. Healthy eating was viewed as more important than, and unrelated to, physical function. Personal, social and cultural/environmental factors were identified as the main factors influencing eating behaviours and physical function, which differed by ethnicity, age, and sex. At 8-month interviews, more men than women reported adverse changes. The study provides unique and useful insights regarding perceived eating behaviours and physical function in a relatively large and diverse sample of older adults that can be used to design new, and adapt existing, culturally-tailored community interventions to support healthy ageing.Entities:
Keywords: Super-diversity; cultural; diversity; ethnic minorities; healthy eating; older adults; physical function; social networks
Mesh:
Year: 2019 PMID: 31146443 PMCID: PMC6627566 DOI: 10.3390/nu11061224
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Figure 1Complete coding matrix on eating behaviours.
Socio-demographic characteristics of participants completing interviews at baseline and 8-month follow-up.
| Variable | Baseline | Follow-Up | |||||
|---|---|---|---|---|---|---|---|
| Sex N (%) | Male | Female | Total | Male | Female | Total | |
| Age mean (SD) | 71(7.0) | 70 (9.0) | 70.6 (8.1) | 70 (8.0) | 71 (9.0) | 70.7 (8.2) | |
| Ethnicity N (%) | Caribbean | 14 (24.6) | 25 (71.4) | 39 (42.4) | 13 (26.0) | 25 (80.6) | 38 (46.9) |
| Pakistani | 17 (29.8) | 3 (8.6) | 20 (22) | 14 (28.0) | 1 (3.2) | 15 (18.5) | |
| African | 11 (19.3) | 6 (17.1) | 17 (18.5) | 11 (22.0) | 4 (12.9) | 15 (18.5) | |
| Bangladeshi | 4 (7.0) | 0 (0.0) | 4 (4.3) | 2 (4.0) | 0 (0.0) | 2 (2.5) | |
| Indian | 5 (8.8) | 1 (2.9) | 6 (6.5) | 4 (8.0) | 1 (3.2) | 5 (6.2) | |
| Others# | 6 (10.5) | 0 (0.0) | 6 (6.5) | 6 (12.0) | 0 (0.0) | 6 (7.4) | |
| Marital status N (%) | Married | 46 (80.7) | 16 (45.7) | 62 (67.4) | 40 (80.0) | 15 (48.4) | 55 (67.9) |
| Widowed | 6 (10.5) | 8 (22.9) | 14 (15.2) | 4 (8.0) | 7 (22.6) | 11 (13.6) | |
| Divorced | 4 (7.0) | 8 (22.9) | 12 (13.0) | 5 (10.0) | 7 (22.6) | 12 (14.8) | |
| Single | 1 (1.8) | 3 (8.6) | 4 (4.3) | 1 (2.0) | 2 (6.5) | 3 (3.7) | |
| Faith/Religion N (%) | Christian | 23 (40.4) | 30 (85.7) | 53 (57.6) | 22 (44.0) | 28 (90.3) | 50 (61.7) |
| Muslim | 29 (50.9) | 1 (2.9) | 30 (32.6) | 24 (48.0) | 0 (0.0) | 24 (29.6) | |
| Sikh | 3 (5.3) | 3 (8.6) | 6 (6.5) | 2 (4.0) | 2 (6.5) | 4 (4.9) | |
| Hindu | 2 (3.5) | 0 (0.0) | 2 (2.2) | 2 (4.0) | 0 (0.0) | 2 (2.5) | |
| No religion | 0 (0.0) | 1 (2.9) | 1 (1.1) | 0 (0.0) | 1 (3.2) | 1 (1.2) | |
| Education N (%) | College/University | 28 (49.1) | 17 (48.6) | 45 (48.9) | 26 (52.0) | 15 (48.4) | 41 (50.6) |
| Secondary School | 10 (17.5) | 8 (22.9) | 18 (19.6) | 8 (16.0) | 7 (22.6) | 15 (18.5) | |
| Primary School | 9 (15.8) | 6 (17.1) | 15 (16.3) | 9 (18.0) | 5 (16.1) | 14 (17.3) | |
| No education | 10 (17.5) | 4 (11.4) | 14 (15.2) | 7 (14.0) | 4 (12.9) | 11 (13.6) | |
| BMI categories N (%) | Normal | 4 (7.0) | 2 (5.7) | 6 (6.5) | 6 (12.0) | 3 (9.7) | 9 (11.1) |
| Overweight | 22 (38.6) | 7 (20.0) | 29 (34.5) | 13 (26.0) | 8 (25.8) | 21 (25.9) | |
| Obese | 31 (54.4) | 26 (74.3) | 57 (62.0) | 31 (62.0) | 20 (64.5) | 51 (63.0) | |
| IMD Quartile * N (%) | 1 (Most deprived) | 20 (35.1) | 12 (34.3) | 32 (34.8) | 18 (36.0) | 11 (35.5) | 29 (35.8) |
| 2 | 13 (22.8) | 6 (17.1) | 19 (20.7) | 13 (26.0) | 6 (19.4) | 19 (23.5) | |
| 3 | 11 (19.3) | 6 (17.1) | 17 (18.5) | 6 (12.0) | 5 (16.1) | 11 (13.6) | |
| 4 (least deprived) | 13 (22.8) | 11 (31.4) | 24 (26.1) | 13 (26.0) | 9 (29.0) | 22 (27.2) | |
| Self-rated health N (%) | Excellent | 9 (15.8) | 9 (25.7) | 18 (19.6) | 8 (16.0) | 8 (25.8) | 16 (19.8) |
| Good | 35 (61.4) | 17 (48.6) | 52 (56.5) | 31 (62.0) | 14 (45.2) | 45 (55.6) | |
| Fair | 7 (12.3) | 6 (17.1) | 13 (14.1) | 5 (10.0) | 6 (19.4) | 11 (13.6) | |
| Poor | 6 (10.5) | 3 (8.6) | 9 (9.8) | 6 (12.6) | 3 (9.7) | 9 (11.1) | |
| Length of stay in the UK mean (SD) (years) | 41.9 (16.2) | 43.8 (14.9) | 42.71 (15.9) | 41.5 (16.7) | 45.9 (15.5) | 43.2 (16.4) | |
BMI = Body Mass Index; IMD = Index of Multiple Deprivation; SD = Standard Deviation; #Other ethnicity referring to East African Asians or Mixed ethnic minority group such as a Caribbean Asian; * WHO guidance on BMI thresholds for Asian populations (World Health Organization 2004) was used for categorizing BMI of South Asian participants and standard BMI categories were used for Caribbean and African participants.
Figure 2Influences on eating behaviours and physical function among community-dwelling ethnically diverse older adults.