Associations between healthy lifestyles and health outcomes among older <scp>K</scp>oreans

Lyu, Jiyoung; Lee, SeungAh H.; Kim, Hae-Young

doi:10.1111/ggi.12531

Cited by 20 publications

(20 citation statements)

References 28 publications

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“…The study sustained findings form previous research that better SRH was reported among people who smoked cigarettes and consumed alcohol [ 27 ]. However, this finding contradicted an earlier study that associated smoking and drinking with lower SRH scores [ 28 ] and another that found that the elderly with healthier lifestyles believed themselves to be healthier than those with less healthy lifestyles [ 29 ]. The participants in this study showed high incidence of unhealthy lifestyles; a little over one-fifth of them (20.39%) smoked.…”

Section: Discussioncontrasting

confidence: 81%

Regional differences and determinants of self-rated health in a lower middle income rural Society of China

Wang

Dong

et al. 2018

Int J Equity Health

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ObjectiveSelf-rated health represents a reliable and important health measure related to general health and quality of life. This study aimed to identify the differences of health states of rural residents in a lower middle income setting in China and its associated factors.MethodsA descriptive study of a stratified random sample of 3870 individuals was conducted in rural Anhui during 2015. We investigated the influence of five independent variables: individual demographic characteristics, family factors, social capital traits, physical health conditions and healthy lifestyle habits of participants who self-related their health as good. A chi-square test and ordinal logistic regression analyses were used to identify the relationship of these variables and self-rated health.ResultsThe study found that respondents who negatively rated their health often were female, elderly, poor, lived alone, had low levels of education, inadequate social support, poor physical health, used healthcare services and lived in the lower economic regions. We found no significant correlations between self-rated health and employment, marital status, medical insurance, or exercise frequency. Surprisingly, smoking and drinking also seemed to be unrelated to poor self-reported health.ConclusionHealth differences based on region were apparent in rural China. We highlighted the possible impacts of income, age, physical health, education, advanced age, and social support on health. The results from this study could inform the delivery of appropriate health and social healthcare interventions to promote rural residents’ health and quality of life.

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Section: Discussioncontrasting

confidence: 81%

Regional differences and determinants of self-rated health in a lower middle income rural Society of China

Wang

Dong

et al. 2018

Int J Equity Health

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“…74,75 Therefore, examination of the effects of multiple health behaviours on health outcomes is reasonable and worthwhile. Few studies (including two Chinese studies) have taken this approach, [76][77][78][79][80] and the Chinese studies were limited to a single geographic area (Hong Kong) 80 and setting (workplaces), 79 respectively. Previous research has revealed regional variation in residents' health behaviours due to differences in economic, cultural, and social contexts.…”

Section: Relationship Between Socio-demographic Factors and Health Oumentioning

confidence: 99%

A healthy diet and physical activity are important to promote healthy ageing among older Chinese people

2019

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Objective To examine the associations between multiple health behaviours and health outcomes among older Chinese adults. Methods Data from the World Health Organization’s Study on global AGEing and adult health Wave 1 (2007–2010), collected among the older Chinese population, were included in this study. Smoking, diet, and physical activity were analysed by linear regression for any associations with depressive symptoms, quality of life (QoL), cognitive function, and physical function. Results A total of 13 367 participants aged >49 years were included in the analyses. After controlling for key socioeconomic factors, healthy diet was significantly associated with higher QoL (β = 0.099) and better cognitive function (β = 0.023). Physical activity was significantly associated with fewer depressive symptoms (β = –0.020), higher QoL (β = 0.086), better cognitive function (β = 0.072), and better physical function (β = –0.155 [higher scores = poorer physical function]). No relationship was found between smoking and any health-related outcome included in this study. Conclusion This study demonstrates the importance of healthy diet and physical activity for health outcomes in the older Chinese population.

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“…Past research showed an association between practising several healthy lifestyle activities daily and reducing the risk of depression [13]. This same study suggested that sleeping for a proper duration, engaging in regular physical activity, and following abstemious drinking habits, which are all healthy lifestyle practices, could be essential for improving mental health.…”

Section: Plos Onementioning

confidence: 73%

“…Cross-sectional studies have shown that healthy lifestyle factors are positively associated with better mental health outcomes [ 13 ]. In that regard, the relationship between mental health conditions and lifestyle factors such as sleeping duration [ 14 ], habitual physical exercise [ 15 ], smoking habits [ 16 , 17 ], and alcohol consumption [ 18 ] have been studied to find methods of preventing mental illness.…”

Section: Introductionmentioning

confidence: 99%

Impact of socioeconomic- and lifestyle-related risk factors on poor mental health conditions: A nationwide longitudinal 5-wave panel study in Japan

Nagasu

Yamamoto

2020

PLoS ONE

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The association of socioeconomic status and lifestyle behaviours on mental health appears well-established in the literature, as several studies report that better socioeconomic status such as higher levels of disposable income and employment as well as practising healthy lifestyles can enhance mental well-being. However, the reliance on cross-sectional correlations and lack of adequate statistical controls are possible limitations. This study aims to add the evidence of longitudinal association to the literature by using Japanese representative longitudinal household panel data. We employed panel data analytical techniques such as the random-effects conditional logistic regression (RE-CLR) and the fixed-effects conditional logistic regression (FE-CLR) models with possible time variant confounders being controlled. Our sample was comprised of 14,717 observations of 3,501 individuals aged 22-59 years for five waves of the Japanese Household Panel Survey. We confirmed many of the factors associated with mental health reported in existing studies by analysing crosssectional data. These significant associations are also longitudinal (within) associations estimated by the FE-CLR models. Such factors include unemployment, low household income, short nightly sleeping duration, and lack of exercise. However, we also found that several factors such as disposable income, living alone, and drinking habits are not significantly associated with mental health in the FE-CRL models. The results imply the reverse causality that poor mental health conditions cause lower disposal income, possibly due to the inability to exhibit higher productivity, but an increase in disposal income would not necessarily improve mental health conditions. In this case, aggressive policy interventions to increase the disposal income of people of lower socioeconomic backgrounds would not necessarily be effective to minimize health inequalities.

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Associations between healthy lifestyles and health outcomes among older Koreans

Cited by 20 publications

References 28 publications

Regional differences and determinants of self-rated health in a lower middle income rural Society of China

Regional differences and determinants of self-rated health in a lower middle income rural Society of China

A healthy diet and physical activity are important to promote healthy ageing among older Chinese people

Impact of socioeconomic- and lifestyle-related risk factors on poor mental health conditions: A nationwide longitudinal 5-wave panel study in Japan

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