AIM:To quantitatively examine the impacts of an easyto-measure parameter -weight gain -on metabolic syndrome development among middle-aged adults. METHODS:We conducted a five-year interval observational study. A total of 1384 middle-aged adults not meeting metabolic syndrome (MetS) criteria at the initial screening were included in our analysis. Baseline data such as MetS-components and lifestyle factors were collected in 2002. Body weight and MetS-components were measured in both 2002 and 2007. Participants were classified according to proximal quartiles of weight gain (WG) in percentages (%WG ≤ 1%, 1% < %WG ≤ 5%, 5% < %WG ≤ 10% and %WG > 10%, defined as: control, mild-WG, moderate-WG and severe-WG groups, respectively) at the end of the follow-up. Multivariate models were used to assess the association between MetS outcome and excessive WG in the total population, as well as in both genders. RESULTS:In total, 175 (12.6%) participants fulfilled MetS criteria within five years. In comparison to the control group, mild-WG adults had an insignificant risk for MetS development while adults having moderate-WG had a 3.0-fold increased risk for progression to MetS [95% confidence interval (CI), 1.8-5.1], and this risk was increased 5.4-fold (95% CI, 3.0-9.7) in subjects having severe-WG. For females having moderate-and severe-WG, the risk for developing MetS was 3.6 (95% CI, 1.03-12.4) and 5.5 (95% CI, 1.4-21.4), respectively. For males having moderate-and severe-WG, the odds ratio for MetS outcome was respectively 3.0 (95% CI, 1.6-5.5) and 5.2 (95% CI, 2.6-10.2). CONCLUSION:For early-middle-aged healthy adults with a five-year weight gain over 5%, the severity of weight gain is related to the risk for developing metabolic syndrome.

AIM:To examine the associations between objective health indicators and high need for recovery (NFR) after work, one of the subjective presentations of work related-fatigue, among apparently healthy workers in modern workplaces. METHODS: From October to December, 2007, an annual health examination was performed for the workers from an electronics manufacturing factory in Taiwan. Health records of 1216 workers with a relatively homogeneous socioeconomic status were used for analysis. The health checkups included personal and NFR scale questionnaires, physical examinations, blood tests for biochemistry and hematology. The workers within the top tertile NFR score were defined as high-NFR workers. RESULTS: After adjusted for potential confounders, the workers with elevated alanine aminotransferase (ALT) and central obesity had a significantly higher NFR after work, with increased risks of 1.4-fold [95% confidence interval (CI) = 1.01-2.0] and 1.8-fold (95% CI = 1.2-2.7), respectively. Shiftworkers had a 2.0-fold (95% CI = 1.5-2.6) increased risk for high-NFR. The associations between high-NFR and lipid profiles, blood sugar, hematology indexes or blood pressure were insignificant after controlling for confounders. CONCLUSION:For apparently healthy workers, high NFR after work is not simply a subjective experience. Objective health measures, such as elevated ALT and increased waist circumference, should be carefully evaluated for the apparently healthy workers having a higher NFR after work.