Adherence to the healthy lifestyle guideline in relation to the metabolic syndrome: Analyses from the 2013 and 2018 Indonesian national health surveys

Sigit, Fathimah S.; Trompet, Stella; Tahapary, Dicky L.; Harbuwono, Dante Saksono; Cessie, Saskia le; Rosendaal, Frits R.; Mutsert, Renée de

doi:10.1016/j.pmedr.2022.101806

Cited by 6 publications

(4 citation statements)

References 50 publications

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“…The observed higher physical activity levels in rural compared to urban population aligned with previous study ( Machado-Rodrigues et al, 2014 ). This finding could be attributed by the greater proportion of rural individuals engaged in physically demanding informal sector work, as demonstrated in our earlier research ( Sigit et al, 2022 ). Furthermore, our study affirmed an inverse association between longer duration of MVPA per week with diabetes, and similarly, physical inactivity is associated with higher risk of diabetes, which were more pronounced in the urban population.…”

Section: Discussionsupporting

confidence: 71%

Lifestyle and clinical risk factors in relation with the prevalence of diabetes in the Indonesian urban and rural populations: The 2018 Indonesian Basic Health Survey

Kurniawan,

Sigit,

Trompet

et al. 2024

Preventive Medicine Reports

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Section: Discussionsupporting

confidence: 71%

Lifestyle and clinical risk factors in relation with the prevalence of diabetes in the Indonesian urban and rural populations: The 2018 Indonesian Basic Health Survey

Kurniawan,

Sigit,

Trompet

et al. 2024

Preventive Medicine Reports

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“…Another study in China, using cluster analysis, found a higher prevalence of dyslipidemia in a cluster characterized by long-term sedentary behavior, short sleep duration, and a high intake of salt and oil [7]. Several studies have explored the association between HLS and metabolic diseases such as diabetes, CVD, metabolic syndrome, and cancer, consistently reporting an inverse relationship [10][11][12]. While there are limited studies speci cally examining the association between the HLS index and dyslipidemia in adults, the available evidence suggests that adopting a healthy lifestyle may reduce the risk of dyslipidemia [7,13].…”

Section: Discussionmentioning

confidence: 99%

“…Previous studies have investigated the association between the lifestyle index and various chronic diseases, including cardio-metabolic conditions, neuroendocrine disorders, cancer, and fatty liver. The ndings consistently indicate an inverse association between a higher healthy lifestyle index (HLS) and the occurrence of these diseases [10][11][12]. Gao et al's study in North China shows that dyslipidemia is negatively correlated with HLS [13].…”

Section: Introductionmentioning

confidence: 99%

Association between healthy lifestyle score and dyslipidemia; a population based study

Sadafi,

Azizi,

Najafi

et al. 2023

Preprint

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Background The prevalence of dyslipidemia in Iran is high, making it important to identify its risk factors. However, the association between dyslipidemia and the healthy lifestyle index (HLS), which encompasses various individual behaviors, has not been extensively studied. Therefore, the aim of this study was to investigate the association between HLS and dyslipidemia. Methods A cross-sectional study was conducted on 6,690 participants from the baseline phase of the Ravansar non-communicable diseases study (RaNCD) cohort study. The HLS score was determined based on four lifestyle components: physical activity, diet, smoking status, and obesity. Binary logistic regression models were used to analyze the association between dyslipidemia and HLS quartiles. Results The average age of the participants was 45.76 ± 7.76 years, with 47.49% being male and 41.26% residing in rural areas. Anthropometric indices decreased across the HLS quartiles (Ptrend < 0.001). The intake of whole grains, fruits, vegetables, legumes, white meat, eggs, and nuts was significantly higher in the fourth quartile compared to the first quartile of HLS (Ptrend < 0.05). After adjusting for age, sex, socioeconomic status, drinking habits, and residence, the odds of dyslipidemia decreased in the second (OR: 0.66, 95% CI: 0.57–0.81), third (OR: 0.55, 95% CI: 0.47–0.64), and fourth quartiles of HLS (OR: 0.37, 95% CI: 0.30–0.46) compared to the first quartile (Ptrend < 0.001). Conclusion This study shows that a higher HLS may be associated with a lower likelihood of dyslipidemia. Adopting a healthy lifestyle that includes smoking cessation, regular physical activity, weight control, and a nutritious diet may help prevent dyslipidemia.

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“…Recently, some studies have evaluated the combined effect of lifestyle factors, i.e., regular physical activity, not smoking, healthy dietary patterns, and avoiding obesity as part of the variables called healthy lifestyle score (HLS) with the hazard of several chronic diseases [20][21][22][23][24][25]. Studies have also shown that high adherence to healthy eating index (HEI), which is one of the ingredients of HLS, decreases the peril of developing CVDs, diabetes, and MetS [26,27].…”

Section: Introductionmentioning

confidence: 99%

The association between healthy lifestyle score and risk of metabolic syndrome in Iranian adults: a cross-sectional study

et al. 2023

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Background Lifestyle risk factors, such as obesity, physical inactivity, smoking, and having an unhealthy diet are significantly associated to the risk of developing metabolic diseases such as type 2 diabetes, insulin resistance, and metabolic syndrome (MetS). Consequently, it is important to examine multiple lifestyle risk factors instead of single ones. Moreover, the combined effects of these factors on risk of MetS are not fully investigated. This study investigated the relationship between HLS and MetS and its components among apparently healthy adults living in Tabriz-Iran. Methods This cross-sectional study includes 347 apparently healthy adults aged 20–50. To assess healthy lifestyle, four habits were used to examine HLS: physical activity (PA), smoking, healthy eating index-2015 (HEI-2015), and body mass index (BMI). Smoking status, PA, and dietary intakes (147-item) of study participants were evaluated using valid questionnaires. The lifestyle score ranged from zero (non-healthy) to four (most healthy) points. Binary logistic regression with adjusted models was used to examine the association of HLS and MetS, and its components. P < 0.05 was considered statistically significant. Results In the current study, the average age and BMI of study participants were 40.78 ± 9.23 years old and 29.23 ± 5.97 kg/m2, respectively. Participants in the highest quartile of HLS had significantly lower waist circumference (WC), BMI, weight, and had less fasting blood sugar (FBS), and triglyceride (TG) compared to the lowest quartile of HLS. Individuals in the second quartile of HLS had 24% greater odds for having MetS compared with those in the first quartile (adjusted OR: 1.24; 95% CI: 1.05–2.66). A significant reduction in hyperglycemia (adjusted OR: 0.85, 95% CI: 0.55–0.96) and high TG (adjusted OR: 0.83; 95% CI: 0.55–0.93) risk was also observed in the highest category of HLS compared to the lowest category. Moreover, after taking potential confounders into account, low score of HLS was associated with increased odds of MetS in women (adjusted OR: 1.32; 95% CI: 1.03–2.91). Conclusion The results showed that the lowest adherence to HLS was associated with higher odds MetS in women, after adjusting for all covariates. Moreover, adherence to a healthy lifestyle was related to lower odds of hyperglycemia and high TG in Iranian adults. To confirm these results, prospective studies are required.

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Adherence to the healthy lifestyle guideline in relation to the metabolic syndrome: Analyses from the 2013 and 2018 Indonesian national health surveys

Cited by 6 publications

References 50 publications

Lifestyle and clinical risk factors in relation with the prevalence of diabetes in the Indonesian urban and rural populations: The 2018 Indonesian Basic Health Survey

Lifestyle and clinical risk factors in relation with the prevalence of diabetes in the Indonesian urban and rural populations: The 2018 Indonesian Basic Health Survey

Association between healthy lifestyle score and dyslipidemia; a population based study

The association between healthy lifestyle score and risk of metabolic syndrome in Iranian adults: a cross-sectional study

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