| Literature DB >> 25998551 |
Trisha Greenhalgh1, Megan Clinch2, Nur Afsar3, Yasmin Choudhury4, Rita Sudra5, Desirée Campbell-Richards6, Anne Claydon7, Graham A Hitman8,9, Philippa Hanson10, Sarah Finer11,12.
Abstract
BACKGROUND: Diabetes in pregnancy is common in South Asians, especially those from low-income backgrounds, and leads to short-term morbidity and longer-term metabolic programming in mother and offspring. We sought to understand the multiple influences on behaviour (hence risks to metabolic health) of South Asian mothers and their unborn child, theorise how these influences interact and build over time, and inform the design of culturally congruent, multi-level interventions.Entities:
Mesh:
Year: 2015 PMID: 25998551 PMCID: PMC4455920 DOI: 10.1186/s12916-015-0360-1
Source DB: PubMed Journal: BMC Med ISSN: 1741-7015 Impact factor: 8.775
Fig. 1Glass and McAttee’s axis of nested hierarchies influencing behaviour and disease risk across the lifespan. Reproduced with permission from [58] Caption from original: The society-behavior-biology nexus as depicted in multidimensional space. The large arrows represent the axes of time and nested hierarchical structures. The sphere of health-related behavior and action moves through time from infancy to old age. Behavior is influenced by structures contingencies within the social and physical environment and by biological phenomena. Structural contingencies (opportunities and constraints) are shown by paths ending with nodes, while biological phenomena (embodiment and expression) are shown by paths ending with arrows or nodes
Fig. 2Schematic diagram of how narratives can capture interacting influences in the nested hierarchy model of health inequalities
Participant characteristics
| Language spoken at home | Bengali or Sylheti | Gurarati | Tamil | Punjabi or Urdu | Total |
|---|---|---|---|---|---|
| (Bangladeshi origin) | (north-west Indian origin) | (south Indian or Sri Lankan origin) | (north Indian or Pakistani origin) | ||
| Total number of participants | 17 | 5 | 10 | 13 | 45 |
| Median (range) age | 37 (27–43) | 34 (29–39) | 34 (21–45) | 35 (23–42) | 35 |
| Diabetes status | |||||
| Type 2 | 7 | 2 | 8 | 12 | 29 |
| Gestational (past or present) | 9 | 3 | 2 | 1 | 15 |
| Missing data | 1 | 0 | 0 | 0 | 1 |
| Pregnancy status | |||||
| Median (range) number of pregnancies (including current one if relevant) | 4 (2–9) | 2 (1–4) | 2 (2–4) | 3 (1–6) | 3 (1–9) |
| Pregnant at time of interview | |||||
| Yes | 3 | 3 | 6 | 6 | 18 |
| No | 13 | 2 | 4 | 7 | 26 |
| Missing data | 1 | 0 | 0 | 0 | 1 |
| Generation immigrant | |||||
| First generation | 8 | 1 | 4 | 5 | 18 |
| Second generation | 7 | 2 | 3 | 6 | 18 |
| Missing data | 2 | 2 | 3 | 2 | 9 |
| Group sessions | |||||
| Participated in group sessions | 7 | 0 | 5 | 5 | 17 |
| Median no. of sessions attended | 3 | n/a | 2 | 3 | 3 |
| Individual interviews | |||||
| Interviewed in clinic | 0 | 2 | 1 | 1 | 4 |
| Interviewed at home | 10 | 3 | 4 | 7 | 24 |
| Total | 10 | 5 | 5 | 8 | 28 |
Gestational diabetes was diagnosed using locally-adapted UK criteria via universal 2 h, 75 g oral glucose tolerance testing of women of Asian origin at 28 weeks gestation with fasting plasma glucose ≥5.8 mmol/L and 120 min plasma glucose ≥7.8 mmol/L
Fig. 3Schematic diagram of the intergenerational transmission of diabetes risk via nested hierarchy of influences around pregnancy. Adapted from Glass and McAttee [58]