The global epidemic of diabetes requires preventive actions at a population level. Although low physical activity levels are a recognised risk factor for diabetes, recent interest has focused on specific sedentary behaviours (‘too much sitting’) [1]. Sedentary behaviours comprise prolonged sitting in different settings (at home, at work, watching television and in cars) but are quite distinct from the risk of physical inactivity, which refers to not meeting recommended physical activity guidelines. Sitting time is of interest in diabetes, given the experimental and physiological evidence that prolonged and uninterrupted sitting is adversely related to glucose levels and insulin resistance [1].

Epidemiological studies initially showed associations between prolonged television time and increased type 2 diabetes incidence [24], with a meta-analysis indicating that the risk of type 2 diabetes increased by 20% for each 2 h of television watched per day [3]. Since television time, the most common form of sitting in the domestic setting, is associated with the diabetes risk factors of snacking and other unhealthy dietary habits and low socioeconomic status [4, 5], it is important to consider other dimensions of sitting exposure to assess the independence of any observed epidemiological risk. Emerging studies examining ‘total sitting time’ and diabetes have failed to find the same relationships as the early studies of television time. Evidence from a Danish 5 year prospective study suggests that the association of total sitting time with risk of any diabetes seems to be attenuated by physical activity and among non-obese individuals, leaving residual risk for developing diabetes among those who are inactive or obese [6]. In an 11 year follow-up of the Nord-Trøndelag Health Study (the HUNT Study) in Norway, we aimed to investigate the association between total sitting time and the risk of any diabetes, and to examine whether this association was modified by leisure-time physical inactivity or obesity.


The HUNT Study is a population-based study in Nord-Trøndelag county, Norway, with three waves of data collection: HUNT1 (1984–1986), HUNT2 (1995–1997) and HUNT3 (2006–2008). At each survey, all residents aged ≥20 years were invited to participate, and participants completed extensive health-related questionnaires and underwent a clinical examination and random blood sampling, as described previously [7] and on the HUNT website (, accessed 20 November 2016). The present study uses the HUNT2 Survey as the baseline risk factor examination and the HUNT3 Survey 11 years later as the follow-up examination to assess diabetes incidence.

In HUNT2, 93,898 people were invited and 65,229 (69%) participated. On a questionnaire that was returned at the clinical examination, participants reported whether they had ever been diagnosed with diabetes, their highest education and their weekly average of leisure-time physical activity during the last year, categorised separately for light (not sweaty or breathless) and vigorous activity (sweaty or breathless) as no, <1, 1–2 or ≥3 h/week. A second questionnaire was given to all participants at the clinical examination and returned by 55,376 (85%) by mail in a pre-paid envelope; this included a question on sitting time: ‘How many hours do you usually spend in the sitting position during a 24 hour period? (work, meals, television, car etc.)’. The clinical examination included standardised measurements of weight and height. Random serum glucose concentrations were measured using an enzymatic hexokinase method on a Hitachi 911 Autoanalyzer at Levanger Hospital, Nord-Trøndelag Hospital Trust.

In HUNT3, all participants were asked whether they had ever been diagnosed with diabetes and their age at diagnosis, and random serum glucose was measured in all participants. All participants had their FINDRISC (Finnish diabetes risk score) diabetes prediction score calculated, and participants with a FINDRISC ≥15 out of 26 were invited to have fasting serum glucose, 120 min 75 g OGTT and HbA1c measurements, as previously described [8].

The validity of self-reported diabetes in this population was examined after the HUNT1 Survey by comparison with general practitioners’ records, and the self-report had excellent positive (96%) and negative (99.7%) predictive values. Self-reported diabetes duration was on average 0.4 years longer than physician-verified duration [9]. Assessing the validity of self-reported long-term physical activity and sitting habits is difficult because of the lack of a true reference standard. However, the HUNT2 questionnaire item on vigorous leisure-time physical activity correlated moderately with \( \overset{.}{V}{\mathrm{O}}_{2 \max } \) (r = 0.46) and time spent in vigorous activity with metabolic equivalent values ≥6 as measured during a 1 week ActiReg position-and-movement monitoring (r = 0.31), whereas weaker or no correlations were observed for self-report of light leisure-time physical activity [10]. Validity of self-reported sitting time has not been examined in the HUNT Study, but the similar International Physical Activity Questionnaire (IPAQ) item on sitting time correlated moderately (r ~ 0.3) with accelerometer counts depicting sedentary behaviour [11].

Among 65,229 participants in HUNT2, we excluded 10,777 individuals aged ≥70 years, as few attended HUNT3 11 years later. Further, we excluded 1024 individuals with previously known diabetes, 144 with probable diabetes at HUNT2 indicated by random serum glucose ≥11.1 mmol/l, 8617 who did not return the second questionnaire with details on sitting time, 3006 who returned the second questionnaire but did not report sitting time, 56 who did not answer whether they had diabetes and 780 individuals with missing information on education level, leaving 40,825 participants eligible for follow-up. Among them, 28,051 (69%) attended the follow-up examination at HUNT3 11 years later and were included in our analyses.

Diabetes at HUNT3 was indicated by self-reported diagnosis, random serum glucose ≥11.1 mmol/l or, in participants who attended the additional examination with fasting serum glucose ≥7.0 mmol/l, 120 min serum glucose ≥11.1 mmol/l in the OGTT or HbA1c ≥6.5% (48 mmol/mol), consistent with cut-off levels recommended by the WHO/International Diabetes Federation. For people whose diabetes was diagnosed between HUNT2 and HUNT3, date of diabetes diagnosis was estimated from the participants’ self-reported age at diagnosis. The median time from HUNT2 to self-reported time of diagnosis (6.8 years) was assigned to participants who did not self-report their age at diagnosis (7%). Date of HUNT3 participation was considered as the date of diagnosis for people whose diabetes was diagnosed by glucose or HbA1c measurements in HUNT3.

We examined the association between self-reported daily sitting time (≤4, 5–7 or ≥8 h) and the incidence of any diabetes using Cox proportional hazard models, where participants were followed up from their date of participation in HUNT2 until their date of diabetes diagnosis or participation in HUNT3, whichever occurred first. In a first model, we adjusted for age (by using age as the time scale), sex and education (<10, 10–12 or >12 years). We additionally adjusted for baseline levels of BMI (weight in kg divided by the squared height in m, continuous) and self-reported weekly leisure-time physical activity (categorised as no, low [<3 h of light and no vigorous activity], medium [≥3 h of light or <1 h of vigorous activity] or high [≥1 h of vigorous activity]), which could either be confounders or proxies for lifestyle/dietary confounders, or be on the causal pathway between sitting time and diabetes. Additionally, we examined the association of sitting time with diabetes risk stratified by leisure-time physical activity (dichotomised as ≤2 h light and no vigorous activity/week vs ≥3 h light or >0 h vigorous activity) or BMI (<30.0 vs ≥30.0 kg/m2). We used likelihood ratio tests to examine whether the association between sitting time and diabetes risk differed by leisure-time physical activity or BMI.

In a first sensitivity analysis, we refrained from using glucose and HbA1c measurements at the additional diabetes examination to classify diabetes at follow-up, as these measurements were performed among people with FINDRISC ≥15 only. Second, we additionally adjusted for self-reported chronic mobility impairment and smoking habits at baseline. Third, because prevalent, symptomatic but undiagnosed diabetes could have influenced sitting time at baseline, we started follow-up 2 years after baseline, assuming that symptomatic diabetes would most likely be detected within this interval. Fourth, because information on age at diabetes diagnosis was lacking for some individuals, we examined the association between sitting time and diabetes incidence using logistic regression analysis. Fifth, we examined the association of sitting time with diabetes stratified by vigorous leisure-time physical activity. Sixth, we examined the association of sitting time with diabetes using finer BMI strata. Seventh, we examined the association between sitting time as a continuous variable and diabetes risk. Data were analysed using Stata version SE 13.1 for Windows (StataCorp LP, College Station, Texas). The study was approved by the regional committee for medical and health research ethics, and all participants gave written informed consent.


Table 1 shows baseline characteristics (HUNT2, 1995–1997) for participants who did and did not attend the follow-up examination (HUNT3, 2006–2008), and for otherwise eligible participants who were excluded because of missing information at baseline. Of 28,051 participants who attended the follow-up examination, 1253 (4.5%) developed diabetes during 309,085 person-years of follow-up. Among them, 925 had their diabetes diagnosed between HUNT2 and HUNT3, and 328 had a new diagnosis of diabetes indicated by glucose or HbA1c measurements in HUNT3.

Table 1 Baseline characteristics of the 40,825 participants eligible at baseline in 1995–1997 (HUNT2), displayed separately for participants who did and did not attend the follow-up examination in 2006–2008 (HUNT3), as well as baseline characteristics of 12,459 otherwise eligible participants who were excluded because of missing information at baseline

In the total study population, sitting ≥8 h/day was associated with a 17% (95% CI 2, 34) higher risk of developing diabetes compared with sitting ≤4 h/day, adjusted for age, sex and education. However, the association was attenuated to a non-significant 9% (95% CI −5, 26) increase in risk after adjustment for BMI and leisure-time physical activity (Table 2), and this attenuation was largely due to adjustment for BMI (Table 3). The association did not substantially differ between women and men (ESM Table 1).

Table 2 HRs for diabetes according to daily sitting time at baseline, overall and stratified by baseline levels of leisure-time physical activitya and BMIb, among 28,051 participants of HUNT2 and HUNT3
Table 3 The influence of BMI and leisure-time physical activity adjustments on the HRs for diabetes according to daily sitting time at baseline, among 28,051 participants of HUNT2 and HUNT3

The association between sitting time and diabetes risk differed by baseline leisure-time physical activity level (p Interaction = 0.01). Among participants with low leisure-time physical activity, sitting 5–7 h/day and ≥8 h/day were associated with a 26% (95% CI 2, 57) and 30% (95% CI 5, 61) higher risk of diabetes, respectively, compared with sitting ≤4 h/day. There was no corresponding association among participants with high leisure-time physical activity (Table 2). There was no statistical evidence that the association between sitting time and diabetes risk differed by obesity status (p Interaction = 0.65; Table 2).

The sensitivity analysis in which glucose and HbA1c measurements at the additional diabetes examination among people with FINDRISC ≥15 was not used for classifying diabetes at follow-up, yielded results similar to the main analysis (ESM Table 2). Adjustment for self-reported chronic mobility impairment (ESM Table 3) or smoking habits (ESM Table 4) had minimal influence on the estimates. Results similar to the main analyses were obtained when we started follow-up 2 years after baseline (ESM Table 5), analysed the association between sitting time and diabetes using logistic regression analysis (ESM Table 6), stratified by vigorous leisure-time physical activity (ESM Table 7) and by finer BMI strata (ESM Table 8), and analysed sitting time as a continuous variable (ESM Table 9).


In this longitudinal population-based study, there was little association between total daily sitting time and diabetes risk in the population as a whole; sitting ≥8 h/day was associated with a modest 17% risk increase for diabetes that was substantially attenuated after adjustment for BMI. However, among participants with little leisure-time physical activity, sitting ≥5 h/day was associated with a significant ~30% increased incidence of diabetes.

The strengths of this study include the population-based longitudinal design with an 11 year follow-up, large sample size and reasonable response rates. Key baseline characteristics were similar between participants and non-participants of the follow-up examination, which reduces the potential for bias due to loss of follow-up. The self-report of sitting time may be less accurate than objective measures [11] and lead to conservative estimates of the association between sitting and diabetes. A recent cross-sectional study reported an association between sedentary time measured using an accelerometer and prevalent type 2 diabetes [12], but longitudinal studies of objectively measured sitting time and diabetes incidence are lacking. Our results remained similar when the additional measurements from people with FINDRISC ≥15 were not used for classifying diabetes, and the lack of systematic testing for diabetes among participants with FINDRISC <15 is unlikely to explain the observed associations. We cannot exclude residual confounding, e.g. from dietary habits such as snacking. The relationship between sitting and BMI is plausibly bidirectional, and it is uncertain whether results with or without BMI adjustment are the most valid estimates of a causal association between sitting and diabetes risk.

Our findings suggest that total sitting time has a less pronounced relationship to diabetes incidence compared with earlier studies using television time as a proxy measure for sitting time. Consistent with our results, television time was more strongly than other types of sitting associated with type 2 diabetes incidence in a 6 year follow-up of the Nurses’ Health Study [4]. Also, a Danish cohort study observed a moderate 35% risk increase of any diabetes associated with total sitting ≥10 h/day compared with <6 h/day, but the association was largely attenuated after adjustment for physical activity and BMI [6].

Although sitting time appears to be of little independent importance for diabetes incidence in the population as a whole, prolonged sitting time may contribute to diabetes risk in subgroups of the population. The Danish cohort study suggested that sedentary time is associated with increased diabetes risk among inactive or obese people [6]. Our results are also consistent with those of meta-analyses of sedentary time and all-cause mortality, which indicate that prolonged sitting may have adverse effects particularly among inactive people [2, 13].

In conclusion, the results of this longitudinal population-based study suggest that total daily sitting time has little association with the risk of any diabetes in the population as a whole, but prolonged sitting time may contribute to increased diabetes risk among physically inactive people.