Association between socioeconomic status and health behaviour change before and after non-communicable disease diagnoses: a multicohort study

Wang, Danyang; Dai, Xiaochen; Mishra, Shiva Raj; Lim, Carmen; Carrillo‐Larco, Rodrigo M.; Gakidou, Emmanuela; Xu, Xiaolin

doi:10.1016/s2468-2667(22)00157-8

Cited by 39 publications

(22 citation statements)

References 31 publications

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“…This conclusion is consistent with results from the Whitehall II study, 6 which showed that socioeconomic disadvantage not only contributes to the transition from a disease-free stage to incident cardiometabolic disease, but also predicts progression to cardiometabolic multimorbidity. The findings by Wang and colleagues 5 are also in agreement with the evidence on social inequalities in other outcomes affected by health behaviours and observed in individuals with pre-existing diseases, such as frailty 7 and dementia; 8 shorter life expectancy; 9 and death. 10 See Articles page e670 Wang and colleagues 5 did not have data on all relevant health behaviours, leaving several questions remaining.…”

Section: Socioeconomic Patterns In Health Behaviours After Disease Onsetsupporting

confidence: 84%

“…The findings by Wang and colleagues 5 are also in agreement with the evidence on social inequalities in other outcomes affected by health behaviours and observed in individuals with pre-existing diseases, such as frailty 7 and dementia; 8 shorter life expectancy; 9 and death. 10 See Articles page e670 Wang and colleagues 5 did not have data on all relevant health behaviours, leaving several questions remaining. For example, data on diet, alcohol consumption, weight management, and adherence to treatments were missing.…”

Section: Socioeconomic Patterns In Health Behaviours After Disease Onsetsupporting

confidence: 84%

“…In The Lancet Public Health, Danyang Wang and colleagues 5 present a study that expands this field of research. By asking what happens to sociallypatterned health behaviours after onset of disease, the investigators shift the focus from health behaviours as risk and protective factors to factors that modify the progression of disease-ie, prognostic factors (figure).…”

Section: Socioeconomic Patterns In Health Behaviours After Disease Onsetmentioning

confidence: 99%

“…Wang and colleagues pooled data from six pro spective cohort studies in the UK, Europe, North and Central America, and Asia, including 8107 individuals diagnosed with diabetes, cardio vascular disease, chronic lung disease, or cancer after baseline. 5 Most participants (7248 [89•4%] individuals) were from three datasets from high-income countries: the Survey of Health, Ageing and Retirement in Europe; the English Longitudinal Study of Ageing; and the US Health and Retirement Study. Participants were surveyed every 2 years with assessments both before and after disease diagnosis, providing a robust longitudinal study design.…”

Section: Socioeconomic Patterns In Health Behaviours After Disease Onsetmentioning

confidence: 99%

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Socioeconomic patterns in health behaviours after disease onset

Kivimäki

Marmot²

2022

The Lancet Public Health

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Section: Socioeconomic Patterns In Health Behaviours After Disease Onsetsupporting

confidence: 84%

Section: Socioeconomic Patterns In Health Behaviours After Disease Onsetsupporting

confidence: 84%

Section: Socioeconomic Patterns In Health Behaviours After Disease Onsetmentioning

confidence: 99%

Section: Socioeconomic Patterns In Health Behaviours After Disease Onsetmentioning

confidence: 99%

See 2 more Smart Citations

Socioeconomic patterns in health behaviours after disease onset

Kivimäki

Marmot²

2022

The Lancet Public Health

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“…The number of years of education was divided into three categories: 0 years, 1 ~ 5 years and 6 years or more, respectively referred to as no schooling, elementary school and secondary school or above [29]. Given that most older adults in this study were retirees and didn't have stable pay, we chose household income instead to measure nancial status [32].…”

Section: Measurementsmentioning

confidence: 99%

Relationship between socioeconomic status, household solid fuels use, sleep quality and depression in older adults: a cross-sectional study

Cheng

2022

Preprint

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Background: Poor sleep quality and depression are two risk factors for the health of the older adults. Researches on the effects of long-time use of solid fuels in house on sleep quality and depression in the older adults were insufficient and had inconsistent findings. The purpose of this study was to examine the relationship between socioeconomic status, household solid fuels use, sleep quality and depression. Methods: A total of 9325 older adults aged 60 and over were analyzed based on the data extracted from the Chinese Longitudinal Healthy Longevity Survey in 2018. The structural equation model was used to test the association between socioeconomic status and sleep quality, socioeconomic status and depression in the older adults, and household solid fuels use was linked as a mediator. Results: This study demonstrated the mediating role of household solid fuels use between socioeconomic status and sleep quality, socioeconomic status and depression. The result showed that low socioeconomic status was associated with more use of solid fuels in the house (β= -0.569, p<0.001), which was negatively associated with sleep quality (β= -0.044, p<0.001) and positively related to depression (β= 0.060, p<0.001). Conclusion: Household solid fuels use contributes significantly to depressive symptoms and poor sleep quality among the older adults with low socioeconomic status. Programs and policies that facilitate access to clean fuels may help ameliorate depressive symptoms and bad sleep quality among the older adults with low socioeconomic status.

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Social determinants of health and hypertension in women compared with men in the United States: An analysis of the NHANES study

Wang

Zhang

Yang

et al. 2023

Clinical Cardiology

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BackgroundSocial determinants of health (SDH) reflecting social deprivation have been developed for population health management. There is a paucity of data on the prevalence of SDH and its associations with prevalent hypertension in women compared with men.MethodsA total of 49 791 participants aged over 20 years from the 1999–2018 National Health and Nutrition Examination Surveys, were included. Information on the SDH, including race/ethnicity, education level, family income, housing, marriage status, employment, were collected. We calculated the prevalence ratio (PR) for each adverse SDH with prevalent hypertension and uncontrolled hypertension by using Cox regression with equal times of follow‐up assigned to all individuals with adjustment for age, diabetes, taking lipid‐lowering medication, and health behaviors. The population‐attributable fractions (PAF) of the SDH were also assessed.ResultsA lower proportion of low education attainment was observed in women than men (women: 16.8% vs. men: 17.9%, p = .003), but women had higher proportions of low family income (15.3% vs. 12.5%, p < .001), unmarried state (47.3% vs. 40.9%, p < .001), and unemployment (22.7% vs. 10.7%, p < .001). All the SDH was significantly associated with hypertension in women. There were significant dose–response associations between the numbers of adverse SDH with hypertension. The total PAF of SDH for prevalent hypertension was greater in women (22.2%) than in men (13.9%).ConclusionsThe widely influential SDH is associated with prevalent hypertension and uncontrolled hypertension. To improve hypertension management, health resources should prioritize socioeconomically disadvantaged groups considering gender differences.

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Association between socioeconomic status and health behaviour change before and after non-communicable disease diagnoses: a multicohort study

Cited by 39 publications

References 31 publications

Socioeconomic patterns in health behaviours after disease onset

Socioeconomic patterns in health behaviours after disease onset

Relationship between socioeconomic status, household solid fuels use, sleep quality and depression in older adults: a cross-sectional study

Social determinants of health and hypertension in women compared with men in the United States: An analysis of the NHANES study

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