Diet Quality and Incident Non-Communicable Disease in the 1946-1951 Cohort of the Australian Longitudinal Study on Women's Health.
Hlaing Hlaing-HlaingXenia Dolja-GoreMeredith A TavenerErica L JamesAllison M HodgeAlexis J HurePublished in: International journal of environmental research and public health (2021)
Diet quality indices (DQIs) can be useful predictors of diet-disease relationships, including non-communicable disease (NCD) multimorbidity. We aimed to investigate whether overall diet quality (DQ) predicted NCD, multimorbidity, and all-cause mortality. Women from the 1945-51 cohort of the Australia Longitudinal Study on Women's Health (ALSWH) were included if they: responded to S3 in 2001 and at least one survey between 2004 (S4) and 2016 (S8), and had no NCD history and complete dietary data at S3. DQ was summarized by the Healthy Eating Index for Australian Adults-2013 (HEIFA-2013), Mediterranean Diet Score (MDS), and Alternative Healthy Eating Index-2010 (AHEI-2010). Outcomes included each NCD (diabetes mellitus (DM), coronary heart disease (CHD), hypertension (HT), asthma, cancer (except skin cancer), depression and/or anxiety) independently, multimorbidity, and all-cause mortality. Repeated multivariate logistic regressions were used to test associations between DQIs and NCD outcomes across the 15 years of follow-up. The mean (±sd) of DQIs of participants (n = 5350) were 57.15 ± 8.16 (HEIFA-2013); 4.35 ± 1.75 (MDS), and 56.01 ± 10.32 (AHEI-2010). Multivariate regressions indicated that women reporting the highest quintile of AHEI-2010 had lower odds of DM (42-56% (S5-S8)), HT (26% (S8)), asthma (35-37% (S7, S8)), and multimorbidity (30-35% (S7, S8)). The highest quintile of HEIFA-2013 and MDS had lower odds of HT (26-35% (S7, S8); 24-27% (S6-S8), respectively) and depression and/or anxiety (30% (S6): 30-34% (S7, S8)). Our findings support evidence that DQ is an important predictor of some NCDs and a target for prevention in middle-aged women.
Keyphrases
- polycystic ovary syndrome
- weight loss
- physical activity
- pregnancy outcomes
- public health
- healthcare
- sleep quality
- cervical cancer screening
- blood pressure
- chronic obstructive pulmonary disease
- breast cancer risk
- depressive symptoms
- middle aged
- glycemic control
- lung function
- insulin resistance
- emergency department
- quality improvement
- type diabetes
- machine learning
- climate change
- metabolic syndrome
- squamous cell carcinoma
- electronic health record
- cystic fibrosis
- deep learning
- human health
- celiac disease
- risk assessment