Development of non-communicable disease risk factors in Finland: projections up to 2040

Tolonen, Hanna; Reinikainen, Jaakko; Zhou, Zhi; Härkänen, Tommi; Männistö, Satu; Jousilahti, Pekka; Paalanen, Laura; Lundqvist, Annamari; Laatikainen, Tiina

doi:10.1177/14034948221110025

Cited by 7 publications

(8 citation statements)

References 19 publications

(18 reference statements)

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“…Despite the fact that a family health history provides information about the risk of specific health issues, having relatives with a condition does not necessarily indicate that an individual will develop that ailment. A person without a family history of a disorder may nevertheless be susceptible to developing the disorder (Tolonen et al, 2022).…”

Section: Discussionmentioning

confidence: 99%

Combating Non- Communicable Disease Among HCW: The Broken Soldiers

Kumareswaran

Muhadi

Toha

2022

MJSSH

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Non communicable disease (NCD) has recently emerged as a major public-health concern, with prevalence rising over the world. As a submerged portion of the iceberg, the hidden burden of NCD is escalating and devouring the world. NCD affects HCW in the same way it affects other types of workers. Healthcare worker (HCW) should serve as role models in the community, raising NCD prevention knowledge and encouraging patients to adopt a healthier lifestyle. The Objective to the study to access the prevalence of non-communicable disease among healthcare workers. A cross sectional study was conducted in Johor state public health division with secondary data source from health screening of HCW from 2021. A total of 123 subjects participated in the study. Based on BMI calculation 26% were categorized normal, 42% were overweight and 30% were obese. Correlation and univariate analysis were conducted on BMI and blood screening. The results show a significant relationship between BMI towards Total Cholesterol and Fasting blood sugar level among HCW (P value <0.01). The high prevalence of NCD risk factors and their significant association necessitate an appropriate risk-reduction strategy to reduce the possibility of chronic illness among them.

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Section: Discussionmentioning

confidence: 99%

Combating Non- Communicable Disease Among HCW: The Broken Soldiers

Kumareswaran

Muhadi

Toha

2022

MJSSH

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“…Weight was measured using a calibrated spring scale with participants in socks and dressed in indoor clothing. Using clinical measures of weight and height, body mass index (BMI) was calculated based on the equation BMI = weight (in kilograms)/(height (in meters)) 2 [ 68 ].…”

Section: Methodsmentioning

confidence: 99%

Sleep Efficiency and Sleep Onset Latency in One Saskatchewan First Nation

Karunanayake,

Pahwa,

Kirychuk

et al. 2024

Clocks & Sleep

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Background: Sleep efficiency and sleep onset latency are two measures that can be used to assess sleep quality. Factors that are related to sleep quality include age, sex, sociodemographic factors, and physical and mental health status. This study examines factors related to sleep efficiency and sleep onset latency in one First Nation in Saskatchewan, Canada. Methods: A baseline survey of the First Nations Sleep Health project was completed between 2018 and 2019 in collaboration with two Cree First Nations. One-night actigraphy evaluations were completed within one of the two First Nations. Objective actigraphy evaluations included sleep efficiency and sleep onset latency. A total of 167 individuals participated, and of these, 156 observations were available for analysis. Statistical analysis was conducted using logistic and linear regression models. Results: More females (61%) than males participated in the actigraphy study, with the mean age being higher for females (39.6 years) than males (35.0 years). The mean sleep efficiency was 83.38%, and the mean sleep onset latency was 20.74 (SD = 27.25) minutes. Age, chronic pain, ever having high blood pressure, and smoking inside the house were associated with an increased risk of poor sleep efficiency in the multiple logistic regression model. Age, chronic pain, ever having anxiety, heart-related illness, and smoking inside the house were associated with longer sleep onset latency in the multiple linear regression model. Conclusions: Sleep efficiency and sleep onset latency were associated with physical and environmental factors in this First Nation.

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“…In Finland, 72% of men and 63% of women were living with overweight, and 25% of both men and women were living with obesity in 2017 ( 3 ). By 2040, it is estimated that 29% of men and 27% of women will be living with obesity in Finland ( 4 ). Obesity increases the risk of non-communicable diseases, for example, type 2 diabetes, cardiovascular diseases, and certain types of cancers, and premature mortality ( 2 ).…”

Section: Popular Scientific Summarymentioning

confidence: 99%

Associations of EAT-Lancet Planetary Health Diet or Finnish Nutrition Recommendations with changes in obesity measures: a follow-up study in adults

Suikki,

Maukonen,

Kaartinen

et al. 2023

Food & Nutrition Research

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Background Knowledge on the association between the EAT- Lancet Planetary Health Diet (PHD) or the Finnish Nutrition recommendations (FNR) and anthropometric changes is scarce. Especially, the role of the overall diet quality, distinct from energy intake, on weight changes needs further examination. Objectives To examine the association between diet quality and weight change indicators and to develop a dietary index based on the PHD adapted for the Finnish food culture. Methods The study population consisted of participants of two Finnish population-based studies ( n = 4,371, 56% of women, aged 30−74 years at baseline). Dietary habits at the baseline were assessed with a validated food frequency questionnaire including 128−130 food items. We developed a Planetary Health Diet Score (PHDS) (including 13 components) and updated the pre-existing Recommended Finnish Diet Score (uRFDS) (including nine components) with energy density values to measure overall diet quality. Weight, height, and waist circumference (WC), and the body mass index (BMI) were measured at the baseline and follow-up, and their percentual changes during a 7-year follow-up were calculated. Two-staged random effects linear regression was used to evaluate β-estimates with 95% confidence intervals. Results Adherence to both indices was relatively low (PHDS: mean 3.6 points (standard deviation [SD] 1.2) in the range of 0−13; uRFDS: mean 12.7 points (SD 3.9) in the range of 0−27). We did not find statistically significant associations between either of the dietary indices and anthropometric changes during the follow-up (PHDS, weight: β −0.04 (95% CI −0.19, 0.11), BMI: β 0.05 (−0.20, 0.10), WC: β −0.08 (−0.22, 0.06); uRFDS, weight: β 0.01 (−0.04, 0.06), BMI: β 0.01 (−0.04, 0.06), WC: β −0.02 (−0.07, 0.03)). Conclusion No associations between overall diet quality and anthropometric changes were found, which may be at least partly explained by low adherence to the PHD and the FNR in the Finnish adult population.

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Development of non-communicable disease risk factors in Finland: projections up to 2040

Cited by 7 publications

References 19 publications

Combating Non- Communicable Disease Among HCW: The Broken Soldiers

Combating Non- Communicable Disease Among HCW: The Broken Soldiers

Sleep Efficiency and Sleep Onset Latency in One Saskatchewan First Nation

Associations of EAT-Lancet Planetary Health Diet or Finnish Nutrition Recommendations with changes in obesity measures: a follow-up study in adults

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