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Ask, H., Rognmo, K., Torvik, F. A., Roysamb, E., & Tambs, K. (2012). Non-random mating and convergence over time for alcohol consumption, smoking, and exercise: the Nord-Trondelag Health Study. Behav Genet, 42(3), 354–365.
Abstract: Spouses tend to have similar lifestyles. We explored the degree to which spouse similarity in alcohol use, smoking, and physical exercise is caused by non-random mating or convergence. We used data collected for the Nord-Trondelag Health Study from 1984 to 1986 and prospective registry information about when and with whom people entered marriage/cohabitation between 1970 and 2000. Our sample included 19,599 married/cohabitating couples and 1,551 future couples that were to marry/cohabitate in the 14-16 years following data collection. All couples were grouped according to the duration between data collection and entering into marriage/cohabitation. Age-adjusted polychoric spouse correlations were used as the dependent variables in non-linear segmented regression analysis; the independent variable was time. The results indicate that spouse concordance in lifestyle is due to both non-random mating and convergence. Non-random mating appeared to be strongest for smoking. Convergence in alcohol use and smoking was evident during the period prior to marriage/cohabitation, whereas convergence in exercise was evident throughout life. Reduced spouse similarity in smoking with relationship duration may reflect secular trends.
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Lonnee-Hoffmann, R. A., Salvesen, O., Morkved, S., & Schei, B. (2015). Self-reported pelvic organ prolapse surgery, prevalence, and nonobstetric risk factors: findings from the Nord Trondelag Health Study. International urogynecology journal, 26(3), 407–414.
Abstract: INTRODUCTION: The aim of this study was to assess prevalence and risk factors of self-reported pelvic organ prolapse (POP) surgery in a Nordic county. METHODS: We assessed cross-sectional data collection from participants in the Nord-Trondelag Health Study in 2006-2008. All women in the county >/=30 years were eligible, of whom 20,285 (50.3 %) responded by completing questionnaires and attending screening stations. Outcome measures were self-reported POP surgery, age at survey, sociodemographic factors, and information on selected risk factors for POP: self-reported smoking, chronic obstructive pulmonary disease (COPD), asthma, constipation a decade prior, and measured body mass index (BMI). Descriptive statistics, Kaplan-Meier estimates, and multivariate logistic regression were used. Statistical significance was defined as p
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Rostad, B., Schmidt, L., Sundby, J., & Schei, B. (2013). Has fertility declined from mid-1990s to mid-2000s? Acta Obstet Gynecol Scand, 92(11), 1284–1289.
Abstract: OBJECTIVE: To assess changes in self-reported fertility from the mid-1990s to the mid-2000s. DESIGN: The study is a retrospective population-based study. SETTING: The study applied a dataset from two cross-sectional surveys conducted in the mid-1990s and some 10 years later, inviting all women in a county in Norway. POPULATION: Women aged 50-59 years enrolled in either survey constituted two cohorts. Data on 4468 women in the first survey (Cohort 1940) and 4951 women in the latter survey (Cohort 1950) were collected by structured questionnaires. MAIN OUTCOME MEASURES: Prevalence of fertility, infertility with subcategories subfertility and involuntary childlessness, as well as childlessness was estimated and compared between the surveys. Possible sociodemographic and lifestyle predictors of fertility were assessed at different points in time. RESULTS: Fertility declined over the two successive surveys; 87.8% of the women in Cohort 1940 were fertile compared with 84.2% of the women in Cohort 1950 (p = 0.000). The prevalence of infertility increased over time due to an increase in subfertility from 7.8 to 10.6% (p = 0.000). The level of education increased with time, as did at-risk alcohol consumption and smoking, and these factors were adversely associated with fertility. The proportion of childless women increased across surveys (p = 0.004) but relatively fewer women were involuntarily childless in Cohort 1950 than in Cohort 1940 (p = 0.543). CONCLUSION: Fertility, measured at 10-year intervals, declined significantly. The decline in fertility was related to changes in subfertility. Adjustments for sociodemographic and lifestyle factors did not fully explain the decline in fertility.
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Storeng, S. H., Sund, E. R., & Krokstad, S. (2018). Factors associated with basic and instrumental activities of daily living in elderly participants of a population-based survey: the Nord-Trondelag Health Study, Norway. BMJ Open, 8(3), e018942.
Abstract: OBJECTIVES: To investigate factors associated with the need for assistance in basic and instrumental activities of daily living in Norwegian elderly. DESIGN: Prospective cohort study. SETTING: The Nord-Trondelag Health Study (HUNT), a large population-based health survey in Norway. PARTICIPANTS: 5050 individuals aged 60-69 years old at baseline in HUNT2 (1995-1997) who also participated in HUNT3 (2006-2008) were included in the study. 676/693 individuals were excluded in the analyses due to missing outcomes. OUTCOMES: Needing assistance in one or more basic or instrumental activities of daily living reported in HUNT3. RESULTS: In adjusted multinomial logistic regression analyses, poor self-rated health and depression were the strongest risk factors for needing assistance in one or more basic activities of daily living in HUNT3, with ORs of 2.13 (1.35 to 3.38) and 1.58 (0.91 to 2.73). Poor self-rated health and poor life satisfaction were the strongest risk factors for needing assistance in one or more instrumental activities of daily living in HUNT3, with ORs of 2.30 (1.93 to 2.74) and 2.29 (1.86 to 2.81), respectively. Excessive sitting time, short or prolonged sleeping time, and physical inactivity seemed to be the most important lifestyle risk factors for basic/instrumental activities of daily living (ADL/IADL) disability. The studied factors were, in general, greater risk factors for mortality during follow-up than for ADL/IADL disability. Smoking was the strongest risk factor for mortality during follow-up and non-participation in HUNT3. Smoking and low social participation were the strongest risk factors for non-participation in HUNT3. CONCLUSIONS: Subjective health perception, life satisfaction and depression were the strongest risk factors for needing assistance in one or more basic/instrumental activities of daily living later in life. These factors could be possible targets for prevention purposes.
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Vie, G. A., Romundstad, P. R., Krokstad, S., Johnsen, R., & Bjorngaard, J. H. (2015). Mortality and work disability in a cohort of Norwegian couples-the HUNT study. European journal of public health, 25(5), 807–814.
Abstract: BACKGROUND: Poor health is clustered in families, and partners might influence each other. We studied possible consequences of living with a spouse with poor health or unhealthy lifestyle on mortality and work disability. METHODS: In total, 18 943 couples from the HUNT2 Study (1995-97) were linked to national registries and followed until December 2007, identifying deaths and disability pension retirements. Couple's mean exposures were included together with the individual's deviation from the couple mean in discrete time multilevel logistic regression. RESULTS: There was weak evidence of associations between partner's health and risk of dying. Associations between couples slightly exceeded associations within couples for smoking [odds ratio (OR) within 1.57 (95% confidence interval (CI): 1.38-1.78); OR between 1.88 (95% CI: 1.70-2.08), P value for difference 0.027] and education [OR within 1.07 (95% CI: 0.99-1.15); OR between 1.17 (1.11-1.23), P value for difference 0.065]. Indicators of partner's health, such as self-rated health [OR within 3.17 (95% CI: 2.80-3.58); OR between 3.92 (95% CI: 3.50-4.40), P value for difference 0.014], insomnia [OR within 1.39 (95% CI: 1.18-1.64); OR between 2.11 (95% CI: 1.86-2.53), P value for difference
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