Health inequalities by socioeconomic status among men in the Nord-Trøndelag Health Study, Norway

Krokstad, Steinar; Westin, Steinar

doi:10.1080/14034940210133753

Cited by 55 publications

(69 citation statements)

References 26 publications

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“…The socio-economic status was divided into three social classes based on self-rated information about the profession of the individual following the recommendation promoted in a World Health Organization (WHO) report [20] and constructed as an approximation to the international Erikson Goldthorpe Portocare social class schema [10,11,21,22] by using the Occupation Classification 2000 [23]. The sample was grouped as follows: Social class I [higher-grade professionals, directors, and higher legislators, seniors officials, managers, self-employed higher-grade professionals, and liberal professionals (e.g.…”

Section: Work and Economymentioning

confidence: 99%

A comparative study of living conditions in cancer patients who have returned to work after curative treatment

Gudbergsson

Fosså

Borgeraas³

et al. 2006

Support Care Cancer

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Section: Work and Economymentioning

confidence: 99%

A comparative study of living conditions in cancer patients who have returned to work after curative treatment

Gudbergsson

Fosså

Borgeraas³

et al. 2006

Support Care Cancer

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“…In multivariable models, adjustments were made for attained age, gender, smoking status (never, former, and current), alcohol use (frequency during the last 2 weeks: never, not been drinking, 1-4 times, and z5 times), salt intake (consumption of highly salted foods: 0-1 time per month, >1-2 times per month, up to once per week, and z2 times per week), and occupation (higher-level employees or employers and professionals, intermediate employees, lower-level employees, other self-employed or farmers, skilled laborers, and unskilled laborers; ref. 19). Trend tests for the different exposures were made by introducing the categories as ordinal variables into the Cox model.…”

Section: Methodsmentioning

confidence: 99%

Body Mass and Physical Activity and Risk of Gastric Cancer in a Population-Based Cohort Study in Norway

Sjödahl¹,

Jia

Vatten

et al. 2008

Cancer Epidemiology, Biomarkers &Amp; Prevention

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There is a relation between excess body mass index and overall cancer incidence and mortality, but the relation to noncardia gastric cancer is inconsistent. A high physical activity level decreases the risk of several cancers, but few studies have focused on gastric cancer. We conducted a population-based, prospective cohort study in Nord-Trondelag county in Norway. During 1984 to 1986, all adult residents were invited to participate in a health survey, where body height and weight were measured, and frequency, duration, and intensity of recreational physical activity, together with potential confounding factors, were assessed by questionnaires. New gastric cancers occurring during followup in 1984 to 2002 were identified by linkage to the Cancer Registry of Norway. Cox proportional hazards regression models were used to calculate hazard ratios with 95% confidence intervals, adjusted for age, sex, occupation, salt intake, smoking, and alcohol drinking. Follow-up of 73,133 cohort members (88% of all inhabitants) revealed 313 gastric cancers, including 264 noncardia cancers. No statistically significant associations were revealed between different levels of body mass index and risk of noncardia gastric cancer. A statistically significant 50% risk reduction among persons reporting at least a moderate level of recreational physical activity, based on a summary score of physical activity (hazard ratio, 0.5; 95% confidence interval, 0.3-0.9), and a dose-response relation was indicated (P for trend = 0.01). It is concluded that recreational physical activity might have a protective effect against gastric cancer. The sedentary lifestyle gaining ground in western societies might counteract the ongoing decrease in incidence of gastric cancer. (Cancer Epidemiol Biomarkers Prev 2008;17(1):135-40)

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“…The perceived health scores were thereafter dichotomized, i.e. good (score 1 and 2) versus not good (score 3 and 4) [44,45].…”

Section: Methodsmentioning

confidence: 99%

Cognitive Decline One Year after Hospitalization in Older Adults without Dementia

Helvik¹,

Selbæk

Engedal

2012

Dement Geriatr Cogn Disord

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Background/Aims: We studied cognitive functioning 1 year after hospitalization (T2) in patients at least 65 years old without cognitive impairment at baseline (T1). Methods: Cognition was assessed using the Mini-Mental State Examination (MMSE) at both time points. We included 211 (114 women) patients with a mean age of 78.3 (SD 7.0) years and an MMSE score of 24 and above. Results: At T2, 69 (32.7%) patients had an MMSE score below 24. In participants with MMSE 24–26 at T1, cognitive decline was related to impaired physical self-maintenance, a decline in the performance of the instrumental activities of daily living, impaired hearing and less reading ability. In participants with MMSE 27–30, cognitive decline was associated with higher comorbidity (Charlson Index) and impaired physical self-maintenance and hearing. Conclusion: A reduced functioning level and increased comorbidity predicted a decline in cognitive functioning.

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Health inequalities by socioeconomic status among men in the Nord-Trøndelag Health Study, Norway

Cited by 55 publications

References 26 publications

A comparative study of living conditions in cancer patients who have returned to work after curative treatment

A comparative study of living conditions in cancer patients who have returned to work after curative treatment

Body Mass and Physical Activity and Risk of Gastric Cancer in a Population-Based Cohort Study in Norway

Cognitive Decline One Year after Hospitalization in Older Adults without Dementia

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